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<br/><b>Overview:</b>
<br/>&bull;&nbsp;<a href="index.html">About Miller</a>
<br/>&bull;&nbsp;<a href="10-min.html">Miller in 10 minutes</a>
<br/>&bull;&nbsp;<a href="file-formats.html">File formats</a>
<br/>&bull;&nbsp;<a href="feature-comparison.html">Miller features in the context of the Unix toolkit</a>
<br/>&bull;&nbsp;<a href="record-heterogeneity.html">Record-heterogeneity</a>
<br/>&bull;&nbsp;<a href="internationalization.html">Internationalization</a>
<br/><b>Using Miller:</b>
<br/>&bull;&nbsp;<a href="faq.html">FAQ</a>
<br/>&bull;&nbsp;<a href="reference.html"><b>Reference</b></a>
<br/>&bull;&nbsp;<a href="manpage.html">Manpage</a>
<br/>&bull;&nbsp;<a href="data-examples.html">Data-diving examples</a>
<br/>&bull;&nbsp;<a href="cookbook.html">Cookbook</a>
<br/>&bull;&nbsp;<a href="release-docs.html">Documents by release</a>
<br/>&bull;&nbsp;<a href="build.html">Installation, portability, dependencies, and testing</a>
<br/><b>Background:</b>
<br/>&bull;&nbsp;<a href="whyc.html">Why C?</a>
<br/>&bull;&nbsp;<a href="etymology.html">Why call it Miller?</a>
<br/>&bull;&nbsp;<a href="originality.html">How original is Miller?</a>
<br/>&bull;&nbsp;<a href="performance.html">Performance</a>
<br/><b>Repository:</b>
<br/>&bull;&nbsp;<a href="to-do.html">Things to do</a>
<br/>&bull;&nbsp;<a href="contact.html">Contact information</a>
<br/>&bull;&nbsp;<a href="https://github.com/johnkerl/miller">GitHub repo</a>
<br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/>
<br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/> <br/>
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<center> <titleinbody> Reference </titleinbody> </center>
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<center><b>Contents:</b></center>
&bull;&nbsp;<a href="#Command_overview">Command overview</a><br/>
&bull;&nbsp;<a href="#On-line_help">On-line help</a><br/>
&bull;&nbsp;<a href="#I/O_options">I/O options</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Formats">Formats</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Compression">Compression</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Record/field/pair_separators">Record/field/pair separators</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Number_formatting">Number formatting</a><br/>
&bull;&nbsp;<a href="#Data_transformations">Data transformations</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#bar">bar</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#bootstrap">bootstrap</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#cat">cat</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#check">check</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#count-distinct">count-distinct</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#cut">cut</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#decimate">decimate</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#filter">filter</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Features_which_filter_shares_with_put">Features which filter shares with put</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#grep">grep</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#group-by">group-by</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#group-like">group-like</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#having-fields">having-fields</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#head">head</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#histogram">histogram</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#join">join</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#label">label</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#least-frequent">least-frequent</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#merge-fields">merge-fields</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#most-frequent">most-frequent</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#nest">nest</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#nothing">nothing</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#put">put</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Features_which_put_shares_with_filter">Features which put shares with filter</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#regularize">regularize</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#rename">rename</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#reorder">reorder</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#repeat">repeat</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#reshape">reshape</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#sample">sample</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#sec2gmt">sec2gmt</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#sec2gmtdate">sec2gmtdate</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#seqgen">seqgen</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#shuffle">shuffle</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#sort">sort</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#stats1">stats1</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#stats2">stats2</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#step">step</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#tac">tac</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#tail">tail</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#tee">tee</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#top">top</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#uniq">uniq</a><br/>
&bull;&nbsp;<a href="#Expression_language_for_filter_and_put">Expression language for filter and put</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Syntax">Syntax</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Expression_formatting">Expression formatting</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Expressions_from_files">Expressions from files</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Semicolons,_newlines,_and_curly_braces">Semicolons, newlines, and curly braces</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Variables">Variables</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Built-in_variables">Built-in variables</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Field_names">Field names</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Local_variables">Local variables</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Out-of-stream_variables">Out-of-stream variables</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Indexed_out-of-stream_variables">Indexed out-of-stream variables</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Aggregate_variable_assignments">Aggregate variable assignments</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Keywords_for_filter_and_put">Keywords for filter and put</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Control_structures">Control structures</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Pattern-action_blocks">Pattern-action blocks</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#If-statements">If-statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#While_and_do-while_loops">While and do-while loops</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#For-loops">For-loops</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Begin/end_blocks">Begin/end blocks</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Output_statements">Output statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Emit_statements">Emit statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Multi-emit_statements">Multi-emit statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Emit-all_statements">Emit-all statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Redirected-output_statements">Redirected-output statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Unset_statements">Unset statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Filter_statements">Filter statements</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Built-in_functions_for_filter_and_put">Built-in functions for filter and put</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#User-defined_functions_and_subroutines">User-defined functions and subroutines</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#User-defined_functions">User-defined functions</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#User-defined_subroutines">User-defined subroutines</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#A_note_on_the_complexity_of_Miller&rsquo;s_expression_language">A note on the complexity of Miller&rsquo;s expression language</a><br/>
&bull;&nbsp;<a href="#then-chaining">then-chaining</a><br/>
&bull;&nbsp;<a href="#Data_types">Data types</a><br/>
&bull;&nbsp;<a href="#Null_data:_empty_and_absent">Null data: empty and absent</a><br/>
&bull;&nbsp;<a href="#String_literals">String literals</a><br/>
&bull;&nbsp;<a href="#Regular_expressions">Regular expressions</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Regex_captures">Regex captures</a><br/>
&bull;&nbsp;<a href="#Operator_precedence">Operator precedence</a><br/>
&bull;&nbsp;<a href="#Operator_and_function_semantics">Operator and function semantics</a><br/>
&bull;&nbsp;<a href="#Arithmetic">Arithmetic</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Input_scanning">Input scanning</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Conversion_by_math_routines">Conversion by math routines</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Conversion_by_arithmetic_operators">Conversion by arithmetic operators</a><br/>
&nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;<a href="#Pythonic_division">Pythonic division</a><br/>
</div>
<p/>
<a id="Command_overview"/><h1>Command overview</h1>
<p>
Whereas the Unix toolkit is made of the separate executables <tt>cat</tt>, <tt>tail</tt>, <tt>cut</tt>,
<tt>sort</tt>, etc., Miller has subcommands, invoked as follows:
<p/>
<div class="pokipanel">
<pre>
mlr tac *.dat
mlr cut --complement -f os_version *.dat
mlr sort -f hostname,uptime *.dat
</pre>
</div>
<p/>
<p/>These fall into categories as follows:
<table border=1>
<tr class="mlrbg">
<th>Commands </th>
<th>Description</th>
</tr>
<tr>
<td>
<a href="#cat"><tt>cat</tt></a>,
<a href="#cut"><tt>cut</tt></a>,
<a href="#head"><tt>head</tt></a>,
<a href="#sort"><tt>sort</tt></a>,
<a href="#tac"><tt>tac</tt></a>,
<a href="#tail"><tt>tail</tt></a>,
<a href="#top"><tt>top</tt></a>,
<a href="#uniq"><tt>uniq</tt></a>
</td>
<td> Analogs of their Unix-toolkit namesakes, discussed below as well as in
<a href="feature-comparison.html">Miller features in the context of the Unix toolkit</a> </td>
</tr>
<tr>
<td>
<a href="#filter"><tt>filter</tt></a>,
<a href="#put"><tt>put</tt></a>,
<a href="#step"><tt>step</tt></a>
</td>
<td> <tt>awk</tt>-like functionality </td>
</tr>
<tr>
<td>
<a href="#histogram"><tt>histogram</tt></a>,
<a href="#stats1"><tt>stats1</tt></a>,
<a href="#stats2"><tt>stats2</tt></a>
</td>
<td> Statistically oriented </td>
</tr>
<tr>
<td>
<a href="#group-by"><tt>group-by</tt></a>,
<a href="#group-like"><tt>group-like</tt></a>,
<a href="#having-fields"><tt>having-fields</tt></a>
</td>
<td> Particularly oriented toward <a href="record-heterogeneity.html">Record-heterogeneity</a>, although
all Miller commands can handle heterogeneous records
</tr>
<tr>
<td>
<a href="#count-distinct"><tt>count-distinct</tt></a>,
<a href="#label"><tt>label</tt></a>,
<a href="#regularize"><tt>rename</tt></a>,
<a href="#rename"><tt>rename</tt></a>,
<a href="#reorder"><tt>reorder</tt></a>
</td>
<td> These draw from other sources (see also <a href="originality.html">How original is Miller?</a>):
<a href="#count-distinct"><tt>count-distinct</tt></a> is SQL-ish, and
<a href="#rename"><tt>rename</tt></a> can be done by <tt>sed</tt> (which does it faster:
see <a href="performance.html">Performance</a>).
</td>
</tr>
</table>
<a id="On-line_help"/><h1>On-line help</h1>
<p/>Examples:<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --help
Usage: mlr [I/O options] {verb} [verb-dependent options ...] {zero or more file names}
Command-line-syntax examples:
mlr --csv cut -f hostname,uptime mydata.csv
mlr --tsv --rs lf filter '$status != "down" &amp;&amp; $upsec &gt;= 10000' *.tsv
mlr --nidx put '$sum = $7 &lt; 0.0 ? 3.5 : $7 + 2.1*$8' *.dat
grep -v '^#' /etc/group | mlr --ifs : --nidx --opprint label group,pass,gid,member then sort -f group
mlr join -j account_id -f accounts.dat then group-by account_name balances.dat
mlr --json put '$attr = sub($attr, "([0-9]+)_([0-9]+)_.*", "\1:\2")' data/*.json
mlr stats1 -a min,mean,max,p10,p50,p90 -f flag,u,v data/*
mlr stats2 -a linreg-pca -f u,v -g shape data/*
mlr put -q '@sum[$a][$b] += $x; end {emit @sum, "a", "b"}' data/*
mlr --from estimates.tbl put '
for (k,v in $*) {
if (isnumeric(v) &amp;&amp; k =~ "^[t-z].*$") {
$sum += v; $count += 1
}
}
$mean = $sum / $count # no assignment if count unset'
mlr --from infile.dat put -f analyze.mlr
mlr --from infile.dat put 'tee &gt; "./taps/data-".$a."-".$b, $*'
mlr --from infile.dat put 'tee | "gzip &gt; ./taps/data-".$a."-".$b.".gz", $*'
mlr --from infile.dat put -q '@v=$*; dump | "jq .[]"'
mlr --from infile.dat put '(NR % 1000 == 0) { print &gt; stderr, "Checkpoint ".NR}'
Data-format examples:
DKVP: delimited key-value pairs (Miller default format)
+---------------------+
| apple=1,bat=2,cog=3 | Record 1: "apple" =&gt; "1", "bat" =&gt; "2", "cog" =&gt; "3"
| dish=7,egg=8,flint | Record 2: "dish" =&gt; "7", "egg" =&gt; "8", "3" =&gt; "flint"
+---------------------+
NIDX: implicitly numerically indexed (Unix-toolkit style)
+---------------------+
| the quick brown | Record 1: "1" =&gt; "the", "2" =&gt; "quick", "3" =&gt; "brown"
| fox jumped | Record 2: "1" =&gt; "fox", "2" =&gt; "jumped"
+---------------------+
CSV/CSV-lite: comma-separated values with separate header line
+---------------------+
| apple,bat,cog |
| 1,2,3 | Record 1: "apple =&gt; "1", "bat" =&gt; "2", "cog" =&gt; "3"
| 4,5,6 | Record 2: "apple" =&gt; "4", "bat" =&gt; "5", "cog" =&gt; "6"
+---------------------+
Tabular JSON: nested objects are supported, although arrays within them are not:
+---------------------+
| { |
| "apple": 1, | Record 1: "apple" =&gt; "1", "bat" =&gt; "2", "cog" =&gt; "3"
| "bat": 2, |
| "cog": 3 |
| } |
| { |
| "dish": { | Record 2: "dish:egg" =&gt; "7", "dish:flint" =&gt; "8", "garlic" =&gt; ""
| "egg": 7, |
| "flint": 8 |
| }, |
| "garlic": "" |
| } |
+---------------------+
PPRINT: pretty-printed tabular
+---------------------+
| apple bat cog |
| 1 2 3 | Record 1: "apple =&gt; "1", "bat" =&gt; "2", "cog" =&gt; "3"
| 4 5 6 | Record 2: "apple" =&gt; "4", "bat" =&gt; "5", "cog" =&gt; "6"
+---------------------+
XTAB: pretty-printed transposed tabular
+---------------------+
| apple 1 | Record 1: "apple" =&gt; "1", "bat" =&gt; "2", "cog" =&gt; "3"
| bat 2 |
| cog 3 |
| |
| dish 7 | Record 2: "dish" =&gt; "7", "egg" =&gt; "8"
| egg 8 |
+---------------------+
Markdown tabular (supported for output only):
+-----------------------+
| | apple | bat | cog | |
| | --- | --- | --- | |
| | 1 | 2 | 3 | | Record 1: "apple =&gt; "1", "bat" =&gt; "2", "cog" =&gt; "3"
| | 4 | 5 | 6 | | Record 2: "apple" =&gt; "4", "bat" =&gt; "5", "cog" =&gt; "6"
+-----------------------+
Help options:
-h or --help Show this message.
--version Show the software version.
{verb name} --help Show verb-specific help.
--list-all-verbs or -l List only verb names.
--help-all-verbs Show help on all verbs.
Verbs:
bar bootstrap cat check count-distinct cut decimate filter grep group-by
group-like having-fields head histogram join label least-frequent
merge-fields most-frequent nest nothing put regularize rename reorder repeat
reshape sample sec2gmt sec2gmtdate seqgen shuffle sort stats1 stats2 step
tac tail tee top uniq
Functions for the filter and put verbs:
+ + - - * / // % ** | ^ &amp; ~ &lt;&lt; &gt;&gt; == != =~ !=~ &gt; &gt;= &lt; &lt;= &amp;&amp; || ^^ ! ? : .
gsub strlen sub substr tolower toupper abs acos acosh asin asinh atan atan2
atanh cbrt ceil cos cosh erf erfc exp expm1 floor invqnorm log log10 log1p
logifit madd max mexp min mmul msub pow qnorm round roundm sgn sin sinh sqrt
tan tanh urand urand32 urandint dhms2fsec dhms2sec fsec2dhms fsec2hms
gmt2sec hms2fsec hms2sec sec2dhms sec2gmt sec2gmtdate sec2hms strftime
strptime systime isabsent isbool isboolean isempty isemptymap isfloat isint
ismap isnonemptymap isnotempty isnotnull isnull isnumeric ispresent isscalar
isstring assert_notnull assert_present assert_empty assert_notempty
assert_numeric assert_int assert_float assert_bool assert_boolean
assert_string boolean float fmtnum hexfmt int string typeof depth haskey
joink joinkv joinv leafcount length mapdiff mapsum splitkv splitnv
Please use "mlr --help-function {function name}" for function-specific help.
Please use "mlr --help-all-functions" or "mlr -f" for help on all functions.
Please use "mlr --help-all-keywords" or "mlr -k" for help on all keywords.
Data-format options, for input, output, or both:
--idkvp --odkvp --dkvp Delimited key-value pairs, e.g "a=1,b=2"
(this is Miller's default format).
--inidx --onidx --nidx Implicitly-integer-indexed fields
(Unix-toolkit style).
--icsv --ocsv --csv Comma-separated value (or tab-separated
with --fs tab, etc.)
--itsv --otsv --tsv Keystroke-savers for "--icsv --ifs tab",
"--ocsv --ofs tab", "--csv --fs tab".
--ipprint --opprint --pprint Pretty-printed tabular (produces no
output until all input is in).
--right Right-justifies all fields for PPRINT output.
--barred Prints a border around PPRINT output.
--omd Markdown-tabular (only available for output).
--ixtab --oxtab --xtab Pretty-printed vertical-tabular.
--xvright Right-justifies values for XTAB format.
--ijson --ojson --json JSON tabular: sequence or list of one-level
maps: {...}{...} or [{...},{...}].
--jvstack Put one key-value pair per line for JSON
output.
--jlistwrap Wrap JSON output in outermost [ ].
--jquoteall Quote map keys in JSON output, even if they're
numeric.
--jflatsep {string} Separator for flattening multi-level JSON keys,
e.g. '{"a":{"b":3}}' becomes a:b =&gt; 3 for
non-JSON formats. Defaults to :.
-p is a keystroke-saver for --nidx --fs space --repifs
Examples: --csv for CSV-formatted input and output; --idkvp --opprint for
DKVP-formatted input and pretty-printed output.
PLEASE USE "mlr --csv --rs lf" FOR NATIVE UN*X (LINEFEED-TERMINATED) CSV FILES.
You can also have MLR_CSV_DEFAULT_RS=lf in your shell environment, e.g.
"export MLR_CSV_DEFAULT_RS=lf" or "setenv MLR_CSV_DEFAULT_RS lf" depending on
which shell you use.
As keystroke-savers for format-conversion you may use the following:
--c2t --c2d --c2n --c2j --c2x --c2p --c2m
--t2c --t2d --t2n --t2j --t2x --t2p --t2m
--d2c --d2t --d2n --d2j --d2x --d2p --d2m
--n2c --n2t --n2d --n2j --n2x --n2p --n2m
--j2c --j2t --j2d --j2n --j2x --j2p --j2m
--x2c --x2t --x2d --x2n --x2j --x2p --x2m
--p2c --p2t --p2d --p2n --p2j --p2x --p2m
The letters c t d n j x p m refer to formats CSV with LF, TSV with LF, DKVP,
NIDX, JSON, XTAB, PPRINT, and markdown, respectively. Note that markdown format
is available for output only.
Compressed-data options:
--prepipe {command} This allows Miller to handle compressed inputs. You can do
without this for single input files, e.g. "gunzip &lt; myfile.csv.gz | mlr ...".
However, when multiple input files are present, between-file separations are
lost; also, the FILENAME variable doesn't iterate. Using --prepipe you can
specify an action to be taken on each input file. This pre-pipe command must
be able to read from standard input; it will be invoked with
{command} &lt; {filename}.
Examples:
mlr --prepipe 'gunzip'
mlr --prepipe 'zcat -cf'
mlr --prepipe 'xz -cd'
mlr --prepipe cat
Note that this feature is quite general and is not limited to decompression
utilities. You can use it to apply per-file filters of your choice.
For output compression (or other) utilities, simply pipe the output:
mlr ... | {your compression command}
Separator options, for input, output, or both:
--rs --irs --ors Record separators, e.g. 'lf' or '\r\n'
--fs --ifs --ofs --repifs Field separators, e.g. comma
--ps --ips --ops Pair separators, e.g. equals sign
Notes:
* IPS/OPS are only used for DKVP and XTAB formats, since only in these formats
do key-value pairs appear juxtaposed.
* IRS/ORS are ignored for XTAB format. Nominally IFS and OFS are newlines;
XTAB records are separated by two or more consecutive IFS/OFS -- i.e.
a blank line.
* OFS must be single-character for PPRINT format. This is because it is used
with repetition for alignment; multi-character separators would make
alignment impossible.
* OPS may be multi-character for XTAB format, in which case alignment is
disabled.
* DKVP, NIDX, CSVLITE, PPRINT, and XTAB formats are intended to handle
platform-native text data. In particular, this means LF line-terminators
by default on Linux/OSX. You can use "--dkvp --rs crlf" for
CRLF-terminated DKVP files, and so on.
* CSV is intended to handle RFC-4180-compliant data. In particular, this means
it uses CRLF line-terminators by default. You can use "--csv --rs lf" for
Linux-native CSV files. You can also have "MLR_CSV_DEFAULT_RS=lf" in your
shell environment, e.g. "export MLR_CSV_DEFAULT_RS=lf" or "setenv
MLR_CSV_DEFAULT_RS lf" depending on which shell you use.
* TSV is simply CSV using tab as field separator ("--fs tab").
* FS/PS are ignored for markdown format; RS is used.
* All RS/FS/PS options are ignored for JSON format: JSON doesn't allow
changing these.
* You can specify separators in any of the following ways, shown by example:
- Type them out, quoting as necessary for shell escapes, e.g.
"--fs '|' --ips :"
- C-style escape sequences, e.g. "--rs '\r\n' --fs '\t'".
- To avoid backslashing, you can use any of the following names:
cr crcr newline lf lflf crlf crlfcrlf tab space comma pipe slash colon semicolon equals
* Default separators by format:
File format RS FS PS
dkvp \n , =
json (N/A) (N/A) (N/A)
nidx \n space (N/A)
csv \r\n , (N/A)
csvlite \n , (N/A)
markdown \n (N/A) (N/A)
pprint \n space (N/A)
xtab (N/A) \n space
Relevant to CSV/CSV-lite input only:
--implicit-csv-header Use 1,2,3,... as field labels, rather than from line 1
of input files. Tip: combine with "label" to recreate
missing headers.
--headerless-csv-output Print only CSV data lines.
Double-quoting for CSV output:
--quote-all Wrap all fields in double quotes
--quote-none Do not wrap any fields in double quotes, even if they have
OFS or ORS in them
--quote-minimal Wrap fields in double quotes only if they have OFS or ORS
in them (default)
--quote-numeric Wrap fields in double quotes only if they have numbers
in them
--quote-original Wrap fields in double quotes if and only if they were
quoted on input. This isn't sticky for computed fields:
e.g. if fields a and b were quoted on input and you do
"put '$c = $a . $b'" then field c won't inherit a or b's
was-quoted-on-input flag.
Numerical formatting:
--ofmt {format} E.g. %.18lf, %.0lf. Please use sprintf-style codes for
double-precision. Applies to verbs which compute new
values, e.g. put, stats1, stats2. See also the fmtnum
function within mlr put (mlr --help-all-functions).
Defaults to %lf.
Other options:
--seed {n} with n of the form 12345678 or 0xcafefeed. For put/filter
urand()/urandint()/urand32().
--nr-progress-mod {m}, with m a positive integer: print filename and record
count to stderr every m input records.
--from {filename} Use this to specify an input file before the verb(s),
rather than after. May be used more than once. Example:
"mlr --from a.dat --from b.dat cat" is the same as
"mlr cat a.dat b.dat".
-n Process no input files, nor standard input either. Useful
for mlr put with begin/end statements only. (Same as --from
/dev/null.) Also useful in "mlr -n put -v '...'" for
analyzing abstract syntax trees (if that's your thing).
Then-chaining:
Output of one verb may be chained as input to another using "then", e.g.
mlr stats1 -a min,mean,max -f flag,u,v -g color then sort -f color
For more information please see http://johnkerl.org/miller/doc and/or
http://github.com/johnkerl/miller. This is Miller version v5.0.0-alpha.
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr sort --help
Usage: mlr sort {flags}
Flags:
-f {comma-separated field names} Lexical ascending
-n {comma-separated field names} Numerical ascending; nulls sort last
-nf {comma-separated field names} Numerical ascending; nulls sort last
-r {comma-separated field names} Lexical descending
-nr {comma-separated field names} Numerical descending; nulls sort first
Sorts records primarily by the first specified field, secondarily by the second
field, and so on. Any records not having all specified sort keys will appear
at the end of the output, in the order they were encountered, regardless of the
specified sort order.
Example:
mlr sort -f a,b -nr x,y,z
which is the same as:
mlr sort -f a -f b -nr x -nr y -nr z
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="I/O_options"/><h1>I/O options</h1>
<!-- ================================================================ -->
<a id="Formats"/><h2>Formats</h2>
<p/> Options:
<pre>
--dkvp --idkvp --odkvp
--nidx --inidx --onidx
--csv --icsv --ocsv
--csvlite --icsvlite --ocsvlite
--pprint --ipprint --opprint --right
--xtab --ixtab --oxtab
--json --ijson --ojson
</pre>
<p/> These are as discussed in <a href="file-formats.html">File formats</a>, with the exception of <tt>--right</tt>
which makes pretty-printed output right-aligned:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint cat data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --right cat data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td></tr></table>
<p/>Additional notes:
<ul>
<li/> Use <tt>--csv</tt>, <tt>--pprint</tt>, etc. when the input and output formats are the same.
<li/> Use <tt>--icsv --opprint</tt>, etc. when you want format conversion as part of what Miller does to your data.
<li/> DKVP (key-value-pair) format is the default for input and output. So,
<tt>--oxtab</tt> is the same as <tt>--idkvp --oxtab</tt>.
</ul>
<!-- ================================================================ -->
<a id="Compression"/><h2>Compression</h2>
<p/> Options:
<pre>
--prepipe {command}
</pre>
<p/>The prepipe command is anything which reads from standard input and produces data acceptable to
Miller. Nominally this allows you to use whichever decompression utilities you have installed on your
system, on a per-file basis. If the command has flags, quote them: e.g. <tt>mlr --prepipe 'zcat -cf'</tt>. Examples:
<p/>
<div class="pokipanel">
<pre>
# These two produce the same output:
$ gunzip &lt; myfile1.csv.gz | mlr cut -f hostname,uptime
$ mlr --prepipe gunzip cut -f hostname,uptime myfile1.csv.gz
# With multiple input files you need --prepipe:
$ mlr --prepipe gunzip cut -f hostname,uptime myfile1.csv.gz myfile2.csv.gz
$ mlr --prepipe gunzip --idkvp --oxtab cut -f hostname,uptime myfile1.dat.gz myfile2.dat.gz
# Similar to the above, but with compressed output as well as input:
$ gunzip &lt; myfile1.csv.gz | mlr cut -f hostname,uptime | gzip &gt; outfile.csv.gz
$ mlr --prepipe gunzip cut -f hostname,uptime myfile1.csv.gz | gzip &gt; outfile.csv.gz
$ mlr --prepipe gunzip cut -f hostname,uptime myfile1.csv.gz myfile2.csv.gz | gzip &gt; outfile.csv.gz
# Similar to the above, but with different compression tools for input and output:
$ gunzip &lt; myfile1.csv.gz | mlr cut -f hostname,uptime | xz -z &gt; outfile.csv.xz
$ xz -cd &lt; myfile1.csv.xz | mlr cut -f hostname,uptime | gzip &gt; outfile.csv.xz
$ mlr --prepipe 'xz -cd' cut -f hostname,uptime myfile1.csv.xz myfile2.csv.xz | xz -z &gt; outfile.csv.xz
... etc.
</pre>
</div>
<!-- ================================================================ -->
<a id="Record/field/pair_separators"/><h2>Record/field/pair separators</h2>
<p/> Miller has record separators <tt>IRS</tt> and <tt>ORS</tt>, field
separators <tt>IFS</tt> and <tt>OFS</tt>, and pair separators <tt>IPS</tt> and
<tt>OPS</tt>. For example, in the DKVP line <tt>a=1,b=2,c=3</tt>, the record
separator is newline, field separator is comma, and pair separator is the
equals sign. These are the default values.
<p/> Options:
<pre>
--rs --irs --ors
--fs --ifs --ofs --repifs
--ps --ips --ops
</pre>
<ul>
<li/> You can change a separator from input to output via e.g. <tt>--ifs =
--ofs :</tt>. Or, you can specify that the same separator is to be used for
input and output via e.g. <tt>--fs :</tt>.
<li/> The pair separator is only relevant to DKVP format.
<li/> Pretty-print and xtab formats ignore the separator arguments altogether.
<li/> The <tt>--repifs</tt> means that multiple successive occurrences of the
field separator count as one. For example, in CSV data we often signify nulls
by empty strings, e.g. <tt>2,9,,,,,6,5,4</tt>. On the other hand, if the field
separator is a space, it might be more natural to parse <tt>2 4 5</tt> the
same as <tt>2 4 5</tt>: <tt>--repifs --ifs ' '</tt> lets this happen. In fact,
the <tt>--ipprint</tt> option above is internally implemented in terms of
<tt>--repifs</tt>.
<li/> Just write out the desired separator, e.g. <tt>--ofs '|'</tt>. But you
may use the symbolic names <tt>newline</tt>, <tt>space</tt>, <tt>tab</tt>,
<tt>pipe</tt>, or <tt>semicolon</tt> if you like.
</ul>
<!-- ================================================================ -->
<a id="Number_formatting"/><h2>Number formatting</h2>
<p/> The command-line option <tt>--ofmt {format string}</tt> is the global
number format for commands which generate numeric output, e.g.
<tt>stats1</tt>, <tt>stats2</tt>, <tt>histogram</tt>, and <tt>step</tt>, as
well as <tt>mlr put</tt>. Examples:
<p/>
<div class="pokipanel">
<pre>
--ofmt %.9le --ofmt %.6lf --ofmt %.0lf
</pre>
</div>
<p/>
<p/> These are just C <tt>printf</tt> formats applied to double-precision
numbers. Please don&rsquo;t use <tt>%s</tt> or <tt>%d</tt>. Additionally, if
you use leading width (e.g. <tt>%18.12lf</tt>) then the output will contain
embedded whitespace, which may not be what you want if you pipe the output to
something else, particularly CSV. I use Miller&rsquo;s pretty-print format
(<tt>mlr --opprint</tt>) to column-align numerical data.
<p/> To apply formatting to a single field, overriding the global
<tt>ofmt</tt>, use <tt>fmtnum</tt> function within <tt>mlr put</tt>. For example:
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=3.1,y=4.3' | mlr put '$z=fmtnum($x*$y,"%08lf")'
x=3.1,y=4.3,z=13.330000
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=0xffff,y=0xff' | mlr put '$z=fmtnum(int($x*$y),"%08llx")'
x=0xffff,y=0xff,z=00feff01
</pre>
</div>
<p/>
<p/>Input conversion from hexadecimal is done automatically on fields handled
by <tt>mlr put</tt> and <tt>mlr filter</tt> as long as the field value begins
with "0x". To apply output conversion to hexadecimal on a single column, you
may use <tt>fmtnum</tt>, or the keystroke-saving <tt>hexfmt</tt> function.
Example:
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=0xffff,y=0xff' | mlr put '$z=hexfmt($x*$y)'
x=0xffff,y=0xff,z=0xfeff01
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Data_transformations"/><h1>Data transformations</h1>
<!-- ================================================================ -->
<a id="bar"/><h2>bar</h2>
<p/> Cheesy bar-charting.
<p/>
<div class="pokipanel">
<pre>
$ mlr bar -h
Usage: mlr bar [options]
Replaces a numeric field with a number of asterisks, allowing for cheesy
bar plots. These align best with --opprint or --oxtab output format.
Options:
-f {a,b,c} Field names to convert to bars.
-c {character} Fill character: default '*'.
-x {character} Out-of-bounds character: default '#'.
-b {character} Blank character: default '.'.
--lo {lo} Lower-limit value for min-width bar: default '0.000000'.
--hi {hi} Upper-limit value for max-width bar: default '100.000000'.
-w {n} Bar-field width: default '40'.
--auto Automatically computes limits, ignoring --lo and --hi.
Holds all records in memory before producing any output.
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint cat data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint bar --lo 0 --hi 1 -f x,y data/small
a b i x y
pan pan 1 *************........................... *****************************...........
eks pan 2 ******************************.......... ********************....................
wye wye 3 ********................................ *************...........................
eks wye 4 ***************......................... *****...................................
wye pan 5 **********************.................. **********************************......
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint bar --lo 0.4 --hi 0.6 -f x,y data/small
a b i x y
pan pan 1 #....................................... ***************************************#
eks pan 2 ***************************************# ************************................
wye wye 3 #....................................... #.......................................
eks wye 4 #....................................... #.......................................
wye pan 5 **********************************...... ***************************************#
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint bar --auto -f x,y data/small
a b i x y
pan pan 1 [0.204603]**********..............................[0.75868] [0.134189]********************************........[0.863624]
eks pan 2 [0.204603]***************************************#[0.75868] [0.134189]*********************...................[0.863624]
wye wye 3 [0.204603]#.......................................[0.75868] [0.134189]***********.............................[0.863624]
eks wye 4 [0.204603]************............................[0.75868] [0.134189]#.......................................[0.863624]
wye pan 5 [0.204603]**************************..............[0.75868] [0.134189]***************************************#[0.863624]
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="bootstrap"/><h2>bootstrap</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr bootstrap --help
Usage: mlr bootstrap [options]
Emits an n-sample, with replacement, of the input records.
Options:
-n {number} Number of samples to output. Defaults to number of input records.
Must be non-negative.
See also mlr sample and mlr shuffle.
</pre>
</div>
<p/>
<p/> The canonical use for bootstrap sampling is to put error bars on statistical quantities, such as mean. For example:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint stats1 -a mean,count -f u -g color data/colored-shapes.dkvp
color u_mean u_count
yellow 0.497129 1413
red 0.492560 4641
purple 0.494005 1142
green 0.504861 1109
blue 0.517717 1470
orange 0.490532 303
$ mlr --opprint bootstrap then stats1 -a mean,count -f u -g color data/colored-shapes.dkvp
color u_mean u_count
yellow 0.500651 1380
purple 0.501556 1111
green 0.503272 1068
red 0.493895 4702
blue 0.512529 1496
orange 0.521030 321
$ mlr --opprint bootstrap then stats1 -a mean,count -f u -g color data/colored-shapes.dkvp
color u_mean u_count
yellow 0.498046 1485
blue 0.513576 1417
red 0.492870 4595
orange 0.507697 307
green 0.496803 1075
purple 0.486337 1199
$ mlr --opprint bootstrap then stats1 -a mean,count -f u -g color data/colored-shapes.dkvp
color u_mean u_count
blue 0.522921 1447
red 0.490717 4617
yellow 0.496450 1419
purple 0.496523 1192
green 0.507569 1111
orange 0.468014 292
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="cat"/><h2>cat</h2>
<p/> Most useful for format conversions (see
<a href="file-formats.html">File formats</a>), and concatenating multiple
same-schema CSV files to have the same header:
<p/>
<div class="pokipanel">
<pre>
$ mlr cat -h
Usage: mlr cat [options]
Passes input records directly to output. Most useful for format conversion.
Options:
-n Prepend field "n" to each record with record-counter starting at 1
-N {name} Prepend field {name} to each record with record-counter starting at 1
</pre>
</div>
<p/>
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ cat data/a.csv
a,b,c
1,2,3
4,5,6
</pre>
</div>
<p/>
</td> <td>
<p/>
<div class="pokipanel">
<pre>
$ cat data/b.csv
a,b,c
7,8,9
</pre>
</div>
<p/>
</td> <td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csv cat data/a.csv data/b.csv
a,b,c
1,2,3
4,5,6
7,8,9
</pre>
</div>
<p/>
</td></tr></table>
<table><tr><td>
</td> <td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsv --oxtab cat data/a.csv data/b.csv
a 1
b 2
c 3
a 4
b 5
c 6
a 7
b 8
c 9
</pre>
</div>
<p/>
</td> <td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csv cat -n data/a.csv data/b.csv
n,a,b,c
1,1,2,3
2,4,5,6
3,7,8,9
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="check"/><h2>check</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr check --help
Usage: mlr check
Consumes records without printing any output.
Useful for doing a well-formatted check on input data.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="count-distinct"/><h2>count-distinct</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr count-distinct --help
Usage: mlr count-distinct [options]
-f {a,b,c} Field names for distinct count.
-n Show only the number of distinct values.
Prints number of records having distinct values for specified field names.
Same as uniq -c.
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr count-distinct -f a,b then sort -nr count data/medium
a=zee,b=wye,count=455
a=pan,b=eks,count=429
a=pan,b=pan,count=427
a=wye,b=hat,count=426
a=hat,b=wye,count=423
a=pan,b=hat,count=417
a=eks,b=hat,count=417
a=eks,b=eks,count=413
a=pan,b=zee,count=413
a=zee,b=hat,count=409
a=eks,b=wye,count=407
a=zee,b=zee,count=403
a=pan,b=wye,count=395
a=wye,b=pan,count=392
a=zee,b=eks,count=391
a=zee,b=pan,count=389
a=hat,b=eks,count=389
a=wye,b=eks,count=386
a=hat,b=zee,count=385
a=wye,b=zee,count=385
a=hat,b=hat,count=381
a=wye,b=wye,count=377
a=eks,b=pan,count=371
a=hat,b=pan,count=363
a=eks,b=zee,count=357
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr count-distinct -n -f a,b data/medium
count=25
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="cut"/><h2>cut</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr cut --help
Usage: mlr cut [options]
Passes through input records with specified fields included/excluded.
-f {a,b,c} Field names to include for cut.
-o Retain fields in the order specified here in the argument list.
Default is to retain them in the order found in the input data.
-x|--complement Exclude, rather than include, field names specified by -f.
-r Treat field names as regular expressions. "ab", "a.*b" will
match any field name containing the substring "ab" or matching
"a.*b", respectively; anchors of the form "^ab$", "^a.*b$" may
be used. The -o flag is ignored when -r is present.
Examples:
mlr cut -f hostname,status
mlr cut -x -f hostname,status
mlr cut -r -f '^status$,sda[0-9]'
mlr cut -r -f '^status$,"sda[0-9]"'
mlr cut -r -f '^status$,"sda[0-9]"i' (this is case-insensitive)
</pre>
</div>
<p/>
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint cat data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint cut -f y,x,i data/small
i x y
1 0.3467901443380824 0.7268028627434533
2 0.7586799647899636 0.5221511083334797
3 0.20460330576630303 0.33831852551664776
4 0.38139939387114097 0.13418874328430463
5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ echo 'a=1,b=2,c=3' | mlr cut -f b,c,a
a=1,b=2,c=3
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ echo 'a=1,b=2,c=3' | mlr cut -o -f b,c,a
b=2,c=3,a=1
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="decimate"/><h2>decimate</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr decimate --help
Usage: mlr decimate [options]
-n {count} Decimation factor; default 10
-b Decimate by printing first of every n.
-e Decimate by printing last of every n (default).
-g {a,b,c} Optional group-by-field names for decimate counts
Passes through one of every n records, optionally by category.
</pre>
</div>
<p/>
<p/>
<!-- ================================================================ -->
<a id="filter"/><h2>filter</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr filter --help
Usage: mlr filter [options] {expression}
Prints records for which {expression} evaluates to true.
If there are multiple semicolon-delimited expressions, all of them are
evaluated and the last one is used as the filter criterion.
Options:
-v: Prints the expressions's AST (abstract syntax tree), which gives
full transparency on the precedence and associativity rules of
Miller's grammar, to stdout.
-a: Prints a low-level stack-allocation trace to stdout.
-t: Prints a low-level parser trace to stderr.
-T: Prints a every statement to stderr as it is executed.
-x: Prints records for which {expression} evaluates to false.
-S: Keeps field values, or literals in the expression, as strings with no type
inference to int or float.
-F: Keeps field values, or literals in the expression, as strings or floats
with no inference to int.
--oflatsep {string}: Separator to use when flattening multi-level @-variables
to output records for emit. Default ":".
-f {filename}: the DSL expression is taken from the specified file rather
than from the command line. Outer single quotes wrapping the expression
should not be placed in the file. If -f is specified more than once,
all input files specified using -f are concatenated to produce the expression.
(For example, you can define functions in one file and call them from another.)
-e {expression}: You can use this after -f to add an expression. Example use
case: define functions/subroutines in a file you specify with -f, then call
them with an expression you specify with -e.
(If you mix -e and -f then the expressions are evaluated in the order encountered.
Since the expression pieces are simply concatenated, please be sure to use intervening
semicolons to separate expressions.)
--no-fflush: for emit, tee, print, and dump, don't call fflush() after every
record.
Any of the output-format command-line flags (see mlr -h). Example: using
mlr --icsv --opprint ... then put --ojson 'tee &gt; "mytap-".$a.".dat", $*' then ...
the input is CSV, the output is pretty-print tabular, but the tee-file output
is written in JSON format.
Please use a dollar sign for field names and double-quotes for string
literals. If field names have special characters such as "." then you might
use braces, e.g. '${field.name}'. Miller built-in variables are
NF NR FNR FILENUM FILENAME PI E, and ENV["namegoeshere"] to access environment
variables. The environment-variable name may be an expression, e.g. a field
value.
Use # to comment to end of line.
Examples:
mlr filter 'log10($count) &gt; 4.0'
mlr filter 'FNR == 2 (second record in each file)'
mlr filter 'urand() &lt; 0.001' (subsampling)
mlr filter '$color != "blue" &amp;&amp; $value &gt; 4.2'
mlr filter '($x&lt;.5 &amp;&amp; $y&lt;.5) || ($x&gt;.5 &amp;&amp; $y&gt;.5)'
mlr filter '($name =~ "^sys.*east$") || ($name =~ "^dev.[0-9]+"i)'
mlr filter '$ab = $a+$b; $cd = $c+$d; $ab != $cd'
mlr filter '
NR == 1 ||
#NR == 2 ||
NR == 3
'
Please see http://johnkerl.org/miller/doc/reference.html for more information
including function list. Or "mlr -f". Please also also "mlr grep" which is
useful when you don't yet know which field name(s) you're looking for.
</pre>
</div>
<p/>
<a id="Features_which_filter_shares_with_put"/><h3>Features which filter shares with put</h3>
<p/>Please see <a href="#Expression_language_for_filter_and_put">Expression
language for filter and put</a> for more information about the expression
language for <tt>mlr filter</tt>.
<!-- ================================================================ -->
<a id="grep"/><h2>grep</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr grep -h
Usage: mlr grep [options] {regular expression}
Passes through records which match {regex}.
Options:
-i Use case-insensitive search.
-v Invert: pass through records which do not match the regex.
Note that "mlr filter" is more powerful, but requires you to know field names.
By contrast, "mlr grep" allows you to regex-match the entire record. It does
this by formatting each record in memory as DKVP, using command-line-specified
ORS/OFS/OPS, and matching the resulting line against the regex specified
here. In particular, the regex is not applied to the input stream: if you
have CSV with header line "x,y,z" and data line "1,2,3" then the regex will
be matched, not against either of these lines, but against the DKVP line
"x=1,y=2,z=3". Furthermore, not all the options to system grep are supported,
and this command is intended to be merely a keystroke-saver. To get all the
features of system grep, you can do
"mlr --odkvp ... | grep ... | mlr --idkvp ..."
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="group-by"/><h2>group-by</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr group-by --help
Usage: mlr group-by {comma-separated field names}
Outputs records in batches having identical values at specified field names.
</pre>
</div>
<p/>
<p/>This is similar to <tt>sort</tt> but with less work. Namely, Miller&rsquo;s
sort has three steps: read through the data and append linked lists of records,
one for each unique combination of the key-field values; after all records
are read, sort the key-field values; then print each record-list. The group-by
operation simply omits the middle sort. An example should make this more
clear.
<table><tr> <td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint group-by a data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
eks wye 4 0.38139939387114097 0.13418874328430463
wye wye 3 0.20460330576630303 0.33831852551664776
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td> <td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint sort -f a data/small
a b i x y
eks pan 2 0.7586799647899636 0.5221511083334797
eks wye 4 0.38139939387114097 0.13418874328430463
pan pan 1 0.3467901443380824 0.7268028627434533
wye wye 3 0.20460330576630303 0.33831852551664776
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td> </tr></table>
<p/>In this example, since the sort is on field <tt>a</tt>, the first step is
to group together all records having the same value for field <tt>a</tt>; the
second step is to sort the distinct <tt>a</tt>-field values <tt>pan</tt>,
<tt>eks</tt>, and <tt>wye</tt> into <tt>eks</tt>, <tt>pan</tt>, and
<tt>wye</tt>; the third step is to print out the record-list for
<tt>a=eks</tt>, then the record-list for <tt>a=pan</tt>, then the record-list
for <tt>a=wye</tt>. The group-by operation omits the middle sort and just puts
like records together, for those times when a sort isn&rsquo;t desired. In
particular, the ordering of group-by fields for group-by is the order in which
they were encountered in the data stream, which in some cases may be more interesting
to you.
<!-- ================================================================ -->
<a id="group-like"/><h2>group-like</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr group-like --help
Usage: mlr group-like
Outputs records in batches having identical field names.
</pre>
</div>
<p/>
<p/> This groups together records having the same schema (i.e. same ordered list of field names)
which is useful for making sense of time-ordered output as described in
<a href="record-heterogeneity.html">Record-heterogeneity</a> &mdash; in particular, in
preparation for CSV or pretty-print output.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr cat data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true
record_count=100,resource=/path/to/file
resource=/path/to/second/file,loadsec=0.32,ok=true
record_count=150,resource=/path/to/second/file
resource=/some/other/path,loadsec=0.97,ok=false
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint group-like data/het.dkvp
resource loadsec ok
/path/to/file 0.45 true
/path/to/second/file 0.32 true
/some/other/path 0.97 false
record_count resource
100 /path/to/file
150 /path/to/second/file
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="having-fields"/><h2>having-fields</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr having-fields --help
Usage: mlr having-fields [options]
Conditionally passes through records depending on each record's field names.
Options:
--at-least {comma-separated names}
--which-are {comma-separated names}
--at-most {comma-separated names}
--all-matching {regular expression}
--any-matching {regular expression}
--none-matching {regular expression}
Examples:
mlr having-fields --which-are amount,status,owner
mlr having-fields --any-matching 'sda[0-9]'
mlr having-fields --any-matching '"sda[0-9]"'
mlr having-fields --any-matching '"sda[0-9]"i' (this is case-insensitive)
</pre>
</div>
<p/>
<p/> Similar to <a href="#group-like"><tt>group-like</tt></a>, this retains records with specified schema.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr cat data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true
record_count=100,resource=/path/to/file
resource=/path/to/second/file,loadsec=0.32,ok=true
record_count=150,resource=/path/to/second/file
resource=/some/other/path,loadsec=0.97,ok=false
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr having-fields --at-least resource data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true
record_count=100,resource=/path/to/file
resource=/path/to/second/file,loadsec=0.32,ok=true
record_count=150,resource=/path/to/second/file
resource=/some/other/path,loadsec=0.97,ok=false
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr having-fields --which-are resource,ok,loadsec data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true
resource=/path/to/second/file,loadsec=0.32,ok=true
resource=/some/other/path,loadsec=0.97,ok=false
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="head"/><h2>head</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr head --help
Usage: mlr head [options]
-n {count} Head count to print; default 10
-g {a,b,c} Optional group-by-field names for head counts
Passes through the first n records, optionally by category.
Without -g, ceases consuming more input (i.e. is fast) when n
records have been read.
</pre>
</div>
<p/>
Note that <tt>head</tt> is distinct from <a href="#top"><tt>top</tt></a>
&mdash; <tt>head</tt> shows fields which appear first in the data stream;
<tt>top</tt> shows fields which are numerically largest (or smallest).
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint head -n 4 data/medium
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint head -n 1 -g b data/medium
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
wye wye 3 0.20460330576630303 0.33831852551664776
eks zee 7 0.6117840605678454 0.1878849191181694
zee eks 17 0.29081949506712723 0.054478717073354166
wye hat 24 0.7286126830627567 0.19441962592638418
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="histogram"/><h2>histogram</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr histogram --help
Usage: mlr histogram [options]
-f {a,b,c} Value-field names for histogram counts
--lo {lo} Histogram low value
--hi {hi} Histogram high value
--nbins {n} Number of histogram bins
--auto Automatically computes limits, ignoring --lo and --hi.
Holds all values in memory before producing any output.
Just a histogram. Input values &lt; lo or &gt; hi are not counted.
</pre>
</div>
<p/>
This is just a histogram; there&rsquo;s not too much to say here. A note about
binning, by example: Suppose you use <tt>--lo 0.0 --hi 1.0 --nbins 10 -f
x</tt>. The input numbers less than 0 or greater than 1 aren&rsquo;t counted
in any bin. Input numbers equal to 1 are counted in the last bin. That is, bin
0 has <tt>0.0 &le; x &lt; 0.1</tt>, bin 1 has <tt>0.1 &le; x &lt; 0.2</tt>,
etc., but bin 9 has <tt>0.9 &le; x &le; 1.0</tt>.
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint put '$x2=$x**2;$x3=$x2*$x' then histogram -f x,x2,x3 --lo 0 --hi 1 --nbins 10 data/medium
bin_lo bin_hi x_count x2_count x3_count
0.000000 0.100000 1072 3231 4661
0.100000 0.200000 938 1254 1184
0.200000 0.300000 1037 988 845
0.300000 0.400000 988 832 676
0.400000 0.500000 950 774 576
0.500000 0.600000 1002 692 476
0.600000 0.700000 1007 591 438
0.700000 0.800000 1007 560 420
0.800000 0.900000 986 571 383
0.900000 1.000000 1013 507 341
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="join"/><h2>join</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr join --help
Usage: mlr join [options]
Joins records from specified left file name with records from all file names
at the end of the Miller argument list.
Functionality is essentially the same as the system "join" command, but for
record streams.
Options:
-f {left file name}
-j {a,b,c} Comma-separated join-field names for output
-l {a,b,c} Comma-separated join-field names for left input file;
defaults to -j values if omitted.
-r {a,b,c} Comma-separated join-field names for right input file(s);
defaults to -j values if omitted.
--lp {text} Additional prefix for non-join output field names from
the left file
--rp {text} Additional prefix for non-join output field names from
the right file(s)
--np Do not emit paired records
--ul Emit unpaired records from the left file
--ur Emit unpaired records from the right file(s)
-u Enable unsorted input. In this case, the entire left file will
be loaded into memory. Without -u, records must be sorted
lexically by their join-field names, else not all records will
be paired.
--prepipe {command} As in main input options; see mlr --help for details.
If you wish to use a prepipe command for the main input as well
as here, it must be specified there as well as here.
File-format options default to those for the right file names on the Miller
argument list, but may be overridden for the left file as follows. Please see
the main "mlr --help" for more information on syntax for these arguments.
-i {one of csv,dkvp,nidx,pprint,xtab}
--irs {record-separator character}
--ifs {field-separator character}
--ips {pair-separator character}
--repifs
--repips
--use-mmap
--no-mmap
Please use "mlr --usage-separator-options" for information on specifying separators.
Please see http://johnkerl.org/miller/doc/reference.html for more information
including examples.
</pre>
</div>
<p/>
Examples:
<p/>Join larger table with IDs with smaller ID-to-name lookup table, showing only paired records:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsvlite --opprint cat data/join-left-example.csv
id name
100 alice
200 bob
300 carol
400 david
500 edgar
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsvlite --opprint cat data/join-right-example.csv
status idcode
present 400
present 100
missing 200
present 100
present 200
missing 100
missing 200
present 300
missing 600
present 400
present 400
present 300
present 100
missing 400
present 200
present 200
present 200
present 200
present 400
present 300
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsvlite --opprint join -u -j id -r idcode -f data/join-left-example.csv data/join-right-example.csv
id name status
400 david present
100 alice present
200 bob missing
100 alice present
200 bob present
100 alice missing
200 bob missing
300 carol present
400 david present
400 david present
300 carol present
100 alice present
400 david missing
200 bob present
200 bob present
200 bob present
200 bob present
400 david present
300 carol present
</pre>
</div>
<p/>
</td></tr></table>
<p/>Same, but with sorting the input first:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsvlite --opprint sort -f idcode then join -j id -r idcode -f data/join-left-example.csv data/join-right-example.csv
id name status
100 alice present
100 alice present
100 alice missing
100 alice present
200 bob missing
200 bob present
200 bob missing
200 bob present
200 bob present
200 bob present
200 bob present
300 carol present
300 carol present
300 carol present
400 david present
400 david present
400 david present
400 david missing
400 david present
</pre>
</div>
<p/>
</td></tr></table>
<p/>Same, but showing only unpaired records:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsvlite --opprint join --np --ul --ur -u -j id -r idcode -f data/join-left-example.csv data/join-right-example.csv
status idcode
missing 600
id name
500 edgar
</pre>
</div>
<p/>
</td></tr></table>
<p/>Use prefixing options to disambiguate between otherwise identical non-join field names:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csvlite --opprint cat data/self-join.csv data/self-join.csv
a b c
1 2 3
1 4 5
1 2 3
1 4 5
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csvlite --opprint join -j a --lp left_ --rp right_ -f data/self-join.csv data/self-join.csv
a left_b left_c right_b right_c
1 2 3 2 3
1 4 5 2 3
1 2 3 4 5
1 4 5 4 5
</pre>
</div>
<p/>
</td></tr></table>
<p/>Use zero join columns:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csvlite --opprint join -j "" --lp left_ --rp right_ -f data/self-join.csv data/self-join.csv
left_a left_b left_c right_a right_b right_c
1 2 3 1 2 3
1 4 5 1 2 3
1 2 3 1 4 5
1 4 5 1 4 5
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="label"/><h2>label</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr label --help
Usage: mlr label {new1,new2,new3,...}
Given n comma-separated names, renames the first n fields of each record to
have the respective name. (Fields past the nth are left with their original
names.) Particularly useful with --inidx or --implicit-csv-header, to give
useful names to otherwise integer-indexed fields.
Examples:
"echo 'a b c d' | mlr --inidx --odkvp cat" gives "1=a,2=b,3=c,4=d"
"echo 'a b c d' | mlr --inidx --odkvp label s,t" gives "s=a,t=b,3=c,4=d"
</pre>
</div>
<p/>
See also <a href="#rename"><tt>rename</tt></a>.
<p/>Example: Files such as <tt>/etc/passwd</tt>, <tt>/etc/group</tt>, and so on
have implicit field names which are found in section-5 manpages. These field names may be made explicit as follows:
<p/>
<div class="pokipanel">
<pre>
% grep -v '^#' /etc/passwd | mlr --nidx --fs : --opprint label name,password,uid,gid,gecos,home_dir,shell | head
name password uid gid gecos home_dir shell
nobody * -2 -2 Unprivileged User /var/empty /usr/bin/false
root * 0 0 System Administrator /var/root /bin/sh
daemon * 1 1 System Services /var/root /usr/bin/false
_uucp * 4 4 Unix to Unix Copy Protocol /var/spool/uucp /usr/sbin/uucico
_taskgated * 13 13 Task Gate Daemon /var/empty /usr/bin/false
_networkd * 24 24 Network Services /var/networkd /usr/bin/false
_installassistant * 25 25 Install Assistant /var/empty /usr/bin/false
_lp * 26 26 Printing Services /var/spool/cups /usr/bin/false
_postfix * 27 27 Postfix Mail Server /var/spool/postfix /usr/bin/false
</pre>
</div>
<p/>
<p/>Likewise, if you have CSV/CSV-lite input data which has somehow been bereft of its header line, you can re-add a header line using <tt>--implicit-csv-header</tt> and <tt>label</tt>:
<p/>
<div class="pokipanel">
<pre>
$ cat data/headerless.csv
John,23,present
Fred,34,present
Alice,56,missing
Carol,45,present
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csv --rs lf --implicit-csv-header cat data/headerless.csv
1,2,3
John,23,present
Fred,34,present
Alice,56,missing
Carol,45,present
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csv --rs lf --implicit-csv-header label name,age,status data/headerless.csv
name,age,status
John,23,present
Fred,34,present
Alice,56,missing
Carol,45,present
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsv --rs lf --implicit-csv-header --opprint label name,age,status data/headerless.csv
name age status
John 23 present
Fred 34 present
Alice 56 missing
Carol 45 present
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="least-frequent"/><h2>least-frequent</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr least-frequent -h
Usage: mlr least-frequent [options]
Shows the least frequently occurring distinct values for specified field names.
The first entry is the statistical anti-mode; the remaining are runners-up.
Options:
-f {one or more comma-separated field names}. Required flag.
-n {count}. Optional flag defaulting to 10.
-b Suppress counts; show only field values.
See also "mlr most".
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/colored-shapes.dkvp least-frequent -f shape -n 5
shape count
circle 2591
triangle 3372
square 4115
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/colored-shapes.dkvp least-frequent -f shape,color -n 5
shape color count
circle orange 68
triangle orange 107
square orange 128
circle green 287
circle purple 289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/colored-shapes.dkvp least-frequent -f shape,color -n 5 -b
shape color
circle orange
triangle orange
square orange
circle green
circle purple
</pre>
</div>
<p/>
See also <a href="#most-frequent">most-frequent</a>.
<!-- ================================================================ -->
<a id="merge-fields"/><h2>merge-fields</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr merge-fields --help
Usage: mlr merge-fields [options]
Computes univariate statistics for each input record, accumulated across
specified fields.
Options:
-a {sum,count,...} Names of accumulators. One or more of:
count Count instances of fields
mode Find most-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
mean Compute averages (sample means) of specified fields
stddev Compute sample standard deviation of specified fields
var Compute sample variance of specified fields
meaneb Estimate error bars for averages (assuming no sample autocorrelation)
skewness Compute sample skewness of specified fields
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
-f {a,b,c} Value-field names on which to compute statistics. Requires -o.
-r {a,b,c} Regular expressions for value-field names on which to compute
statistics. Requires -o.
-c {a,b,c} Substrings for collapse mode. All fields which have the same names
after removing substrings will be accumulated together. Please see
examples below.
-i Use interpolated percentiles, like R's type=7; default like type=1.
-o {name} Output field basename for -f/-r.
-k Keep the input fields which contributed to the output statistics;
the default is to omit them.
-F Computes integerable things (e.g. count) in floating point.
Example input data: "a_in_x=1,a_out_x=2,b_in_y=4,b_out_x=8".
Example: mlr merge-fields -a sum,count -f a_in_x,a_out_x -o foo
produces "b_in_y=4,b_out_x=8,foo_sum=3,foo_count=2" since "a_in_x,a_out_x" are
summed over.
Example: mlr merge-fields -a sum,count -r in_,out_ -o bar
produces "bar_sum=15,bar_count=4" since all four fields are summed over.
Example: mlr merge-fields -a sum,count -c in_,out_
produces "a_x_sum=3,a_x_count=2,b_y_sum=4,b_y_count=1,b_x_sum=8,b_x_count=1"
since "a_in_x" and "a_out_x" both collapse to "a_x", "b_in_y" collapses to
"b_y", and "b_out_x" collapses to "b_x".
</pre>
</div>
<p/>
<p/>This is like <tt>mlr stats1</tt> but all accumulation is done across fields
within each given record: horizontal rather than vertical statistics, if you
will.
<p/>Examples:
<p/>
<div class="pokipanel">
<pre>
$ mlr --csvlite --opprint cat data/inout.csv
a_in a_out b_in b_out
436 490 446 195
526 320 963 780
220 888 705 831
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csvlite --opprint merge-fields -a min,max,sum -c _in,_out data/inout.csv
a_min a_max a_sum b_min b_max b_sum
436 490 926 195 446 641
320 526 846 780 963 1743
220 888 1108 705 831 1536
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csvlite --opprint merge-fields -k -a sum -c _in,_out data/inout.csv
a_in a_out b_in b_out a_sum b_sum
436 490 446 195 926 641
526 320 963 780 846 1743
220 888 705 831 1108 1536
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="most-frequent"/><h2>most-frequent</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr most-frequent -h
Usage: mlr most-frequent [options]
Shows the most frequently occurring distinct values for specified field names.
The first entry is the statistical mode; the remaining are runners-up.
Options:
-f {one or more comma-separated field names}. Required flag.
-n {count}. Optional flag defaulting to 10.
-b Suppress counts; show only field values.
See also "mlr least".
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/colored-shapes.dkvp most-frequent -f shape -n 5
shape count
square 4115
triangle 3372
circle 2591
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/colored-shapes.dkvp most-frequent -f shape,color -n 5
shape color count
square red 1874
triangle red 1560
circle red 1207
square yellow 589
square blue 589
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/colored-shapes.dkvp most-frequent -f shape,color -n 5 -b
shape color
square red
triangle red
circle red
square yellow
square blue
</pre>
</div>
<p/>
See also <a href="#least-frequent">least-frequent</a>.
<!-- ================================================================ -->
<a id="nest"/><h2>nest</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr nest -h
Usage: mlr nest [options]
Explodes specified field values into separate fields/records, or reverses this.
Options:
--explode,--implode One is required.
--values,--pairs One is required.
--across-records,--across-fields One is required.
-f {field name} Required.
--nested-fs {string} Defaults to ";". Field separator for nested values.
--nested-ps {string} Defaults to ":". Pair separator for nested key-value pairs.
Please use "mlr --usage-separator-options" for information on specifying separators.
Examples:
mlr nest --explode --values --across-records -f x
with input record "x=a;b;c,y=d" produces output records
"x=a,y=d"
"x=b,y=d"
"x=c,y=d"
Use --implode to do the reverse.
mlr nest --explode --values --across-fields -f x
with input record "x=a;b;c,y=d" produces output records
"x_1=a,x_2=b,x_3=c,y=d"
Use --implode to do the reverse.
mlr nest --explode --pairs --across-records -f x
with input record "x=a:1;b:2;c:3,y=d" produces output records
"a=1,y=d"
"b=2,y=d"
"c=3,y=d"
mlr nest --explode --pairs --across-fields -f x
with input record "x=a:1;b:2;c:3,y=d" produces output records
"a=1,b=2,c=3,y=d"
Notes:
* With --pairs, --implode doesn't make sense since the original field name has
been lost.
* The combination "--implode --values --across-records" is non-streaming:
no output records are produced until all input records have been read. In
particular, this means it won't work in tail -f contexts. But all other flag
combinations result in streaming (tail -f friendly) data processing.
* It's up to you to ensure that the nested-fs is distinct from your data's IFS:
e.g. by default the former is semicolon and the latter is comma.
See also mlr reshape.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="nothing"/><h2>nothing</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr nothing -h
Usage: mlr nothing [options]
Drops all input records. Useful for testing, or after tee/print/etc. have
produced other output.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="put"/><h2>put</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr put --help
Usage: mlr put [options] {expression}
Adds/updates specified field(s). Expressions are semicolon-separated and must
either be assignments, or evaluate to boolean. Booleans with following
statements in curly braces control whether those statements are executed;
booleans without following curly braces do nothing except side effects (e.g.
regex-captures into \1, \2, etc.).
Options:
-v: Prints the expressions's AST (abstract syntax tree), which gives
full transparency on the precedence and associativity rules of
Miller's grammar, to stdout.
-a: Prints a low-level stack-allocation trace to stdout.
-t: Prints a low-level parser trace to stderr.
-T: Prints a every statement to stderr as it is executed.
-q: Does not include the modified record in the output stream. Useful for when
all desired output is in begin and/or end blocks.
-S: Keeps field values, or literals in the expression, as strings with no type
inference to int or float.
-F: Keeps field values, or literals in the expression, as strings or floats
with no inference to int.
--oflatsep {string}: Separator to use when flattening multi-level @-variables
to output records for emit. Default ":".
-f {filename}: the DSL expression is taken from the specified file rather
than from the command line. Outer single quotes wrapping the expression
should not be placed in the file. If -f is specified more than once,
all input files specified using -f are concatenated to produce the expression.
(For example, you can define functions in one file and call them from another.)
-e {expression}: You can use this after -f to add an expression. Example use
case: define functions/subroutines in a file you specify with -f, then call
them with an expression you specify with -e.
(If you mix -e and -f then the expressions are evaluated in the order encountered.
Since the expression pieces are simply concatenated, please be sure to use intervening
semicolons to separate expressions.)
--no-fflush: for emit, tee, print, and dump, don't call fflush() after every
record.
Any of the output-format command-line flags (see mlr -h). Example: using
mlr --icsv --opprint ... then put --ojson 'tee &gt; "mytap-".$a.".dat", $*' then ...
the input is CSV, the output is pretty-print tabular, but the tee-file output
is written in JSON format.
Please use a dollar sign for field names and double-quotes for string
literals. If field names have special characters such as "." then you might
use braces, e.g. '${field.name}'. Miller built-in variables are
NF NR FNR FILENUM FILENAME PI E, and ENV["namegoeshere"] to access environment
variables. The environment-variable name may be an expression, e.g. a field
value.
Use # to comment to end of line.
Examples:
mlr put '$y = log10($x); $z = sqrt($y)'
mlr put '$x&gt;0.0 { $y=log10($x); $z=sqrt($y) }' # does {...} only if $x &gt; 0.0
mlr put '$x&gt;0.0; $y=log10($x); $z=sqrt($y)' # does all three statements
mlr put '$a =~ "([a-z]+)_([0-9]+); $b = "left_\1"; $c = "right_\2"'
mlr put '$a =~ "([a-z]+)_([0-9]+) { $b = "left_\1"; $c = "right_\2" }'
mlr put '$filename = FILENAME'
mlr put '$colored_shape = $color . "_" . $shape'
mlr put '$y = cos($theta); $z = atan2($y, $x)'
mlr put '$name = sub($name, "http.*com"i, "")'
mlr put -q '@sum += $x; end {emit @sum}'
mlr put -q '@sum[$a] += $x; end {emit @sum, "a"}'
mlr put -q '@sum[$a][$b] += $x; end {emit @sum, "a", "b"}'
mlr put -q '@min=min(@min,$x);@max=max(@max,$x); end{emitf @min, @max}'
mlr put -q 'isnull(@xmax) || $x &gt; @xmax {@xmax=$x; @recmax=$*}; end {emit @recmax}'
mlr put '
$x = 1;
#$y = 2;
$z = 3
'
Please see also 'mlr -k' for examples using redirected output.
Please see http://johnkerl.org/miller/doc/reference.html for more information
including function list. Or "mlr -f".
Please see in particular:
http://www.johnkerl.org/miller/doc/reference.html#put
</pre>
</div>
<p/>
<a id="Features_which_put_shares_with_filter"/><h3>Features which put shares with filter</h3>
<p/>Please see <a href="#Expression_language_for_filter_and_put">Expression
language for filter and put</a> for more information about the expression
language for <tt>mlr put</tt>.
<!-- ================================================================ -->
<a id="regularize"/><h2>regularize</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr regularize --help
Usage: mlr regularize
For records seen earlier in the data stream with same field names in
a different order, outputs them with field names in the previously
encountered order.
Example: input records a=1,c=2,b=3, then e=4,d=5, then c=7,a=6,b=8
output as a=1,c=2,b=3, then e=4,d=5, then a=6,c=7,b=8
</pre>
</div>
<p/>
<p/>This exists since hash-map software in various languages and tools
encountered in the wild does not always print similar rows with fields in the
same order: <tt>mlr regularize</tt> helps clean that up.
<p/>See also <a href="#reorder"><tt>reorder</tt></a>.
<!-- ================================================================ -->
<a id="rename"/><h2>rename</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr rename --help
Usage: mlr rename [options] {old1,new1,old2,new2,...}
Renames specified fields.
Options:
-r Treat old field names as regular expressions. "ab", "a.*b"
will match any field name containing the substring "ab" or
matching "a.*b", respectively; anchors of the form "^ab$",
"^a.*b$" may be used. New field names may be plain strings,
or may contain capture groups of the form "\1" through
"\9". Wrapping the regex in double quotes is optional, but
is required if you wish to follow it with 'i' to indicate
case-insensitivity.
-g Do global replacement within each field name rather than
first-match replacement.
Examples:
mlr rename -f old_name,new_name'
mlr rename -f old_name_1,new_name_1,old_name_2,new_name_2'
mlr rename -r 'Date_[0-9]+,Date,' Rename all such fields to be "Date"
mlr rename -r '"Date_[0-9]+",Date' Same
mlr rename -r 'Date_([0-9]+).*,\1' Rename all such fields to be of the form 20151015
mlr rename -r '"name"i,Name' Rename "name", "Name", "NAME", etc. to "Name"
</pre>
</div>
<p/>
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint cat data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint rename i,INDEX,b,COLUMN2 data/small
a COLUMN2 INDEX x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td></tr></table>
<p/>As discussed in <a href="performance.html">Performance</a>, <tt>sed</tt>
is significantly faster than Miller at doing this. However, Miller is
format-aware, so it knows to do renames only within specified field keys and
not any others, nor in field values which may happen to contain the same
pattern. Example:
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ sed 's/y/COLUMN5/g' data/small
a=pan,b=pan,i=1,x=0.3467901443380824,COLUMN5=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,COLUMN5=0.5221511083334797
a=wCOLUMN5e,b=wCOLUMN5e,i=3,x=0.20460330576630303,COLUMN5=0.33831852551664776
a=eks,b=wCOLUMN5e,i=4,x=0.38139939387114097,COLUMN5=0.13418874328430463
a=wCOLUMN5e,b=pan,i=5,x=0.5732889198020006,COLUMN5=0.8636244699032729
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr rename y,COLUMN5 data/small
a=pan,b=pan,i=1,x=0.3467901443380824,COLUMN5=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,COLUMN5=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,COLUMN5=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,COLUMN5=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,COLUMN5=0.8636244699032729
</pre>
</div>
<p/>
</td></tr></table>
See also <a href="#label"><tt>label</tt></a>.
<!-- ================================================================ -->
<a id="reorder"/><h2>reorder</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr reorder --help
Usage: mlr reorder [options]
-f {a,b,c} Field names to reorder.
-e Put specified field names at record end: default is to put
them at record start.
Examples:
mlr reorder -f a,b sends input record "d=4,b=2,a=1,c=3" to "a=1,b=2,d=4,c=3".
mlr reorder -e -f a,b sends input record "d=4,b=2,a=1,c=3" to "d=4,c=3,a=1,b=2".
</pre>
</div>
<p/>
This pivots specified field names to the start or end of the record &mdash; for
example when you have highly multi-column data and you want to bring a field or
two to the front of line where you can give a quick visual scan.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint cat data/small
a b i x y
pan pan 1 0.3467901443380824 0.7268028627434533
eks pan 2 0.7586799647899636 0.5221511083334797
wye wye 3 0.20460330576630303 0.33831852551664776
eks wye 4 0.38139939387114097 0.13418874328430463
wye pan 5 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint reorder -f i,b data/small
i b a x y
1 pan pan 0.3467901443380824 0.7268028627434533
2 pan eks 0.7586799647899636 0.5221511083334797
3 wye wye 0.20460330576630303 0.33831852551664776
4 wye eks 0.38139939387114097 0.13418874328430463
5 pan wye 0.5732889198020006 0.8636244699032729
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint reorder -e -f i,b data/small
a x y i b
pan 0.3467901443380824 0.7268028627434533 1 pan
eks 0.7586799647899636 0.5221511083334797 2 pan
wye 0.20460330576630303 0.33831852551664776 3 wye
eks 0.38139939387114097 0.13418874328430463 4 wye
wye 0.5732889198020006 0.8636244699032729 5 pan
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="repeat"/><h2>repeat</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr repeat --help
Usage: mlr repeat [options]
Copies input records to output records multiple times.
Options must be exactly one of the following:
-n {repeat count} Repeat each input record this many times.
-f {field name} Same, but take the repeat count from the specified
field name of each input record.
Example:
echo x=0 | mlr repeat -n 4 then put '$x=urand()'
produces:
x=0.488189
x=0.484973
x=0.704983
x=0.147311
Example:
echo a=1,b=2,c=3 | mlr repeat -f b
produces:
a=1,b=2,c=3
a=1,b=2,c=3
Example:
echo a=1,b=2,c=3 | mlr repeat -f c
produces:
a=1,b=2,c=3
a=1,b=2,c=3
a=1,b=2,c=3
</pre>
</div>
<p/>
<p>This is useful in at least two ways: one, as a data-generator as in the
above example using <tt>urand()</tt>; two, for reconstructing individual
samples from data which has been count-aggregated:
<p/>
<div class="pokipanel">
<pre>
$ cat data/repeat-example.dat
color=blue,count=5
color=red,count=4
color=green,count=3
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr repeat -f count then cut -x -f count data/repeat-example.dat
color=blue
color=blue
color=blue
color=blue
color=blue
color=red
color=red
color=red
color=red
color=green
color=green
color=green
</pre>
</div>
<p/>
<p>After expansion with <tt>repeat</tt>, such data can then be sent on to
<tt>stats1 -a mode</tt>, or (if the data are numeric) to <tt>stats1 -a
p10,p50,p90</tt>, etc.
<!-- ================================================================ -->
<a id="reshape"/><h2>reshape</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr reshape --help
Usage: mlr reshape [options]
Wide-to-long options:
-i {input field names} -o {key-field name,value-field name}
-r {input field regexes} -o {key-field name,value-field name}
These pivot/reshape the input data such that the input fields are removed
and separate records are emitted for each key/value pair.
Note: this works with tail -f and produces output records for each input
record seen.
Long-to-wide options:
-s {key-field name,value-field name}
These pivot/reshape the input data to undo the wide-to-long operation.
Note: this does not work with tail -f; it produces output records only after
all input records have been read.
Examples:
Input file "wide.txt":
time X Y
2009-01-01 0.65473572 2.4520609
2009-01-02 -0.89248112 0.2154713
2009-01-03 0.98012375 1.3179287
mlr --pprint reshape -i X,Y -o item,value wide.txt
time item value
2009-01-01 X 0.65473572
2009-01-01 Y 2.4520609
2009-01-02 X -0.89248112
2009-01-02 Y 0.2154713
2009-01-03 X 0.98012375
2009-01-03 Y 1.3179287
mlr --pprint reshape -r '[A-Z]' -o item,value wide.txt
time item value
2009-01-01 X 0.65473572
2009-01-01 Y 2.4520609
2009-01-02 X -0.89248112
2009-01-02 Y 0.2154713
2009-01-03 X 0.98012375
2009-01-03 Y 1.3179287
Input file "long.txt":
time item value
2009-01-01 X 0.65473572
2009-01-01 Y 2.4520609
2009-01-02 X -0.89248112
2009-01-02 Y 0.2154713
2009-01-03 X 0.98012375
2009-01-03 Y 1.3179287
mlr --pprint reshape -s item,value long.txt
time X Y
2009-01-01 0.65473572 2.4520609
2009-01-02 -0.89248112 0.2154713
2009-01-03 0.98012375 1.3179287
See also mlr nest.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="sample"/><h2>sample</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr sample --help
Usage: mlr sample [options]
Reservoir sampling (subsampling without replacement), optionally by category.
-k {count} Required: number of records to output, total, or by group if using -g.
-g {a,b,c} Optional: group-by-field names for samples.
See also mlr bootstrap and mlr shuffle.
</pre>
</div>
<p/>
<p/>This is reservoir-sampling: select <i>k</i> items from <i>n</i> with
uniform probability and no repeats in the sample. (If <i>n</i> is less than
<i>k</i>, then of course only <i>n</i> samples are produced.) With <tt>-g
{field names}</tt>, produce a <i>k</i>-sample for each distinct value of the
specified field names.
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint sample -k 4 data/colored-shapes.dkvp
color shape flag i u v w x
purple triangle 0 90122 0.9986871176198068 0.3037738877233719 0.5154934457238382 5.365962021016529
red circle 0 3139 0.04835898233323954 -0.03964684310055758 0.5263660881848111 5.3758779366493625
orange triangle 0 67847 0.36746306902109926 0.5161574810505635 0.5176199566173642 3.1748088656576567
yellow square 1 33576 0.3098376725521097 0.8525628505287842 0.49774122460981685 4.494754378604669
$ mlr --opprint sample -k 4 data/colored-shapes.dkvp
color shape flag i u v w x
blue square 1 16783 0.09974385090654347 0.7243899920872646 0.5353718443278438 4.431057737383438
orange square 1 93291 0.5944176543007182 0.17744449786454086 0.49262281749172077 3.1548117990710653
yellow square 1 54436 0.5268161165014636 0.8785588662666121 0.5058773791931063 7.019185838783636
yellow square 1 55491 0.0025440267883102274 0.05474106287787284 0.5102729153751984 3.526301273728043
$ mlr --opprint sample -k 2 -g color data/colored-shapes.dkvp
color shape flag i u v w x
yellow triangle 1 11 0.6321695890307647 0.9887207810889004 0.4364983936735774 5.7981881667050565
yellow square 1 917 0.8547010348386344 0.7356782810796262 0.4531511689924275 5.774541777078352
red circle 1 4000 0.05490416175132373 0.07392337815122155 0.49416101516594396 5.355725080701707
red square 0 87506 0.6357719216821314 0.6970867759393995 0.4940826462055272 6.351579417310387
purple triangle 0 14898 0.7800986870203719 0.23998073813992293 0.5014775988383656 3.141006771777843
purple triangle 0 151 0.032614487569017414 0.7346633365041219 0.7812143304483805 2.6831992610568047
green triangle 1 126 0.1513010528347546 0.40346767294704544 0.051213231883952326 5.955109300797182
green circle 0 17635 0.029856606049114442 0.4724542934246524 0.49529606749929744 5.239153910272168
blue circle 1 1020 0.414263129226617 0.8304946402876182 0.13151094520189244 4.397873687920433
blue triangle 0 220 0.441773289968473 0.44597731903759075 0.6329360666849821 4.3064608776550894
orange square 0 1885 0.8079311983747106 0.8685956833908394 0.3116410800256374 4.390864584500387
orange triangle 0 1533 0.32904497195507487 0.23168161807490417 0.8722623057355134 5.164071635714438
$ mlr --opprint sample -k 2 -g color then sort -f color data/colored-shapes.dkvp
color shape flag i u v w x
blue circle 0 215 0.7803586969333292 0.33146680638888126 0.04289047852629113 5.725365736377487
blue circle 1 3616 0.8548431579124808 0.4989623130006362 0.3339426415875795 3.696785877560498
green square 0 356 0.7674272008085286 0.341578843118008 0.4570224877870851 4.830320062215299
green square 0 152 0.6684429446914862 0.016056003736548696 0.4656148241291592 5.434588759225423
orange triangle 0 587 0.5175826237797857 0.08989091493635304 0.9011709461770973 4.265854207755811
orange triangle 0 1533 0.32904497195507487 0.23168161807490417 0.8722623057355134 5.164071635714438
purple triangle 0 14192 0.5196327866973567 0.7860928603468063 0.4964368415453642 4.899167143824484
purple triangle 0 65 0.6842806710360729 0.5823723856331258 0.8014053396013747 5.805148213865135
red square 1 2431 0.38378504852300466 0.11445015005595527 0.49355539228753786 5.146756570128739
red triangle 0 57097 0.43763430414406546 0.3355450325004481 0.5322349637512487 4.144267240289442
yellow triangle 1 11 0.6321695890307647 0.9887207810889004 0.4364983936735774 5.7981881667050565
yellow square 1 158 0.41527900739142165 0.7118027080775757 0.4200799665161291 5.33279067554884
</pre>
</div>
<p/>
<p/>Note that no output is produced until all inputs are in. Another way to do
sampling, which works in the streaming case, is <tt>mlr filter 'urand() &amp;
0.001'</tt> where you tune the 0.001 to meet your needs.
<!-- ================================================================ -->
<a id="sec2gmt"/><h2>sec2gmt</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr sec2gmt -h
Usage: mlr sec2gmt {comma-separated list of field names}
Replaces a numeric field representing seconds since the epoch with the
corresponding GMT timestamp; leaves non-numbers as-is. This is nothing
more than a keystroke-saver for the sec2gmt function:
mlr sec2gmt time1,time2
is the same as
mlr put '$time1=sec2gmt($time1);$time2=sec2gmt($time2)'
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="sec2gmtdate"/><h2>sec2gmtdate</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr sec2gmtdate -h
Usage: mlr sec2gmtdate {comma-separated list of field names}
Replaces a numeric field representing seconds since the epoch with the
corresponding GMT year-month-day timestamp; leaves non-numbers as-is.
This is nothing more than a keystroke-saver for the sec2gmtdate function:
mlr sec2gmtdate time1,time2
is the same as
mlr put '$time1=sec2gmtdate($time1);$time2=sec2gmtdate($time2)'
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="seqgen"/><h2>seqgen</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr seqgen -h
Usage: mlr seqgen [options]
Produces a sequence of counters. Discards the input record stream. Produces
output as specified by the following options:
-f {name} Field name for counters; default "i".
--start {number} Inclusive start value; default "1".
--stop {number} Inclusive stop value; default "100".
--step {number} Step value; default "1".
Start, stop, and/or step may be floating-point. Output is integer if start,
stop, and step are all integers. Step may be negative. It may not be zero
unless start == stop.
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr seqgen --stop 10
i=1
i=2
i=3
i=4
i=5
i=6
i=7
i=8
i=9
i=10
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr seqgen --start 20 --stop 40 --step 4
i=20
i=24
i=28
i=32
i=36
i=40
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr seqgen --start 40 --stop 20 --step -4
i=40
i=36
i=32
i=28
i=24
i=20
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="shuffle"/><h2>shuffle</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr shuffle -h
Usage: mlr shuffle {no options}
Outputs records randomly permuted. No output records are produced until
all input records are read.
See also mlr bootstrap and mlr sample.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="sort"/><h2>sort</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr sort --help
Usage: mlr sort {flags}
Flags:
-f {comma-separated field names} Lexical ascending
-n {comma-separated field names} Numerical ascending; nulls sort last
-nf {comma-separated field names} Numerical ascending; nulls sort last
-r {comma-separated field names} Lexical descending
-nr {comma-separated field names} Numerical descending; nulls sort first
Sorts records primarily by the first specified field, secondarily by the second
field, and so on. Any records not having all specified sort keys will appear
at the end of the output, in the order they were encountered, regardless of the
specified sort order.
Example:
mlr sort -f a,b -nr x,y,z
which is the same as:
mlr sort -f a -f b -nr x -nr y -nr z
</pre>
</div>
<p/>
<p/>Example:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint sort -f a -nr x data/small
a b i x y
eks pan 2 0.7586799647899636 0.5221511083334797
eks wye 4 0.38139939387114097 0.13418874328430463
pan pan 1 0.3467901443380824 0.7268028627434533
wye pan 5 0.5732889198020006 0.8636244699032729
wye wye 3 0.20460330576630303 0.33831852551664776
</pre>
</div>
<p/>
<p/>Here&rsquo;s an example filtering log data: suppose multiple threads (labeled here by color) are all logging progress counts to a single log file. The log file is (by nature) chronological, so the progress of various threads is interleaved:
<p/>
<div class="pokipanel">
<pre>
$ head -n 10 data/multicountdown.dat
upsec=0.002,color=green,count=1203
upsec=0.083,color=red,count=3817
upsec=0.188,color=red,count=3801
upsec=0.395,color=blue,count=2697
upsec=0.526,color=purple,count=953
upsec=0.671,color=blue,count=2684
upsec=0.899,color=purple,count=926
upsec=0.912,color=red,count=3798
upsec=1.093,color=blue,count=2662
upsec=1.327,color=purple,count=917
</pre>
</div>
<p/>
<p/> We can group these by thread by sorting on the thread ID (here,
<tt>color</tt>). Since Miller&rsquo;s sort is stable, this means that
timestamps within each thread&rsquo;s log data are still chronological:
<p/>
<div class="pokipanel">
<pre>
$ head -n 20 data/multicountdown.dat | mlr --opprint sort -f color
upsec color count
0.395 blue 2697
0.671 blue 2684
1.093 blue 2662
2.064 blue 2659
2.2880000000000003 blue 2647
0.002 green 1203
1.407 green 1187
1.448 green 1177
2.313 green 1161
0.526 purple 953
0.899 purple 926
1.327 purple 917
1.703 purple 908
0.083 red 3817
0.188 red 3801
0.912 red 3798
1.416 red 3788
1.587 red 3782
1.601 red 3755
1.832 red 3717
</pre>
</div>
<p/>
<p/>Any records not having all specified sort keys will appear at the end of the output, in the order they
were encountered, regardless of the specified sort order:
<p/>
<div class="pokipanel">
<pre>
$ mlr sort -n x data/sort-missing.dkvp
x=1
x=2
x=4
a=3
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr sort -nr x data/sort-missing.dkvp
x=4
x=2
x=1
a=3
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="stats1"/><h2>stats1</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr stats1 --help
Usage: mlr stats1 [options]
Computes univariate statistics for one or more given fields, accumulated across
the input record stream.
Options:
-a {sum,count,...} Names of accumulators: p10 p25.2 p50 p98 p100 etc. and/or
one or more of:
count Count instances of fields
mode Find most-frequently-occurring values for fields; first-found wins tie
sum Compute sums of specified fields
mean Compute averages (sample means) of specified fields
stddev Compute sample standard deviation of specified fields
var Compute sample variance of specified fields
meaneb Estimate error bars for averages (assuming no sample autocorrelation)
skewness Compute sample skewness of specified fields
kurtosis Compute sample kurtosis of specified fields
min Compute minimum values of specified fields
max Compute maximum values of specified fields
-f {a,b,c} Value-field names on which to compute statistics
-g {d,e,f} Optional group-by-field names
-i Use interpolated percentiles, like R's type=7; default like type=1.
-s Print iterative stats. Useful in tail -f contexts (in which
case please avoid pprint-format output since end of input
stream will never be seen).
-F Computes integerable things (e.g. count) in floating point.
Example: mlr stats1 -a min,p10,p50,p90,max -f value -g size,shape
Example: mlr stats1 -a count,mode -f size
Example: mlr stats1 -a count,mode -f size -g shape
Notes:
* p50 is a synonym for median.
* min and max output the same results as p0 and p100, respectively, but use
less memory.
* count and mode allow text input; the rest require numeric input.
In particular, 1 and 1.0 are distinct text for count and mode.
* When there are mode ties, the first-encountered datum wins.
</pre>
</div>
<p/>
These are simple univariate statistics on one or more number-valued fields
(<tt>count</tt> and <tt>mode</tt> apply to non-numeric fields as well),
optionally categorized by one or more other fields.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --oxtab stats1 -a count,sum,min,p10,p50,mean,p90,max -f x,y data/medium
x_count 10000
x_sum 4986.019682
x_min 0.000045
x_p10 0.093322
x_p50 0.501159
x_mean 0.498602
x_p90 0.900794
x_max 0.999953
y_count 10000
y_sum 5062.057445
y_min 0.000088
y_p10 0.102132
y_p50 0.506021
y_mean 0.506206
y_p90 0.905366
y_max 0.999965
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint stats1 -a mean -f x,y -g b then sort -f b data/medium
b x_mean y_mean
eks 0.506361 0.510293
hat 0.487899 0.513118
pan 0.497304 0.499599
wye 0.497593 0.504596
zee 0.504242 0.502997
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint stats1 -a p50,p99 -f u,v -g color then put '$ur=$u_p99/$u_p50;$vr=$v_p99/$v_p50' data/colored-shapes.dkvp
color u_p50 u_p99 v_p50 v_p99 ur vr
yellow 0.501019 0.989046 0.520630 0.987034 1.974069 1.895845
red 0.485038 0.990054 0.492586 0.994444 2.041189 2.018823
purple 0.501319 0.988893 0.504571 0.988287 1.972582 1.958668
green 0.502015 0.990764 0.505359 0.990175 1.973574 1.959350
blue 0.525226 0.992655 0.485170 0.993873 1.889958 2.048505
orange 0.483548 0.993635 0.480913 0.989102 2.054884 2.056717
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint count-distinct -f shape then sort -nr count data/colored-shapes.dkvp
shape count
square 4115
triangle 3372
circle 2591
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint stats1 -a mode -f color -g shape data/colored-shapes.dkvp
shape color_mode
triangle red
square red
circle red
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="stats2"/><h2>stats2</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr stats2 --help
Usage: mlr stats2 [options]
Computes bivariate statistics for one or more given field-name pairs,
accumulated across the input record stream.
-a {linreg-ols,corr,...} Names of accumulators: one or more of:
linreg-pca Linear regression using principal component analysis
linreg-ols Linear regression using ordinary least squares
r2 Quality metric for linreg-ols (linreg-pca emits its own)
logireg Logistic regression
corr Sample correlation
cov Sample covariance
covx Sample-covariance matrix
-f {a,b,c,d} Value-field name-pairs on which to compute statistics.
There must be an even number of names.
-g {e,f,g} Optional group-by-field names.
-v Print additional output for linreg-pca.
-s Print iterative stats. Useful in tail -f contexts (in which
case please avoid pprint-format output since end of input
stream will never be seen).
--fit Rather than printing regression parameters, applies them to
the input data to compute new fit fields. All input records are
held in memory until end of input stream. Has effect only for
linreg-ols, linreg-pca, and logireg.
Only one of -s or --fit may be used.
Example: mlr stats2 -a linreg-pca -f x,y
Example: mlr stats2 -a linreg-ols,r2 -f x,y -g size,shape
Example: mlr stats2 -a corr -f x,y
</pre>
</div>
<p/>
These are simple bivariate statistics on one or more pairs of number-valued
fields, optionally categorized by one or more fields.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --oxtab put '$x2=$x*$x; $xy=$x*$y; $y2=$y**2' then stats2 -a cov,corr -f x,y,y,y,x2,xy,x2,y2 data/medium
x_y_cov 0.000043
x_y_corr 0.000504
y_y_cov 0.084611
y_y_corr 1.000000
x2_xy_cov 0.041884
x2_xy_corr 0.630174
x2_y2_cov -0.000310
x2_y2_corr -0.003425
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint put '$x2=$x*$x; $xy=$x*$y; $y2=$y**2' then stats2 -a linreg-ols,r2 -f x,y,y,y,xy,y2 -g a data/medium
a x_y_ols_m x_y_ols_b x_y_ols_n x_y_r2 y_y_ols_m y_y_ols_b y_y_ols_n y_y_r2 xy_y2_ols_m xy_y2_ols_b xy_y2_ols_n xy_y2_r2
pan 0.017026 0.500403 2081 0.000287 1.000000 0.000000 2081 1.000000 0.878132 0.119082 2081 0.417498
eks 0.040780 0.481402 1965 0.001646 1.000000 0.000000 1965 1.000000 0.897873 0.107341 1965 0.455632
wye -0.039153 0.525510 1966 0.001505 1.000000 0.000000 1966 1.000000 0.853832 0.126745 1966 0.389917
zee 0.002781 0.504307 2047 0.000008 1.000000 0.000000 2047 1.000000 0.852444 0.124017 2047 0.393566
hat -0.018621 0.517901 1941 0.000352 1.000000 0.000000 1941 1.000000 0.841230 0.135573 1941 0.368794
</pre>
</div>
<p/>
</td></tr></table>
<p/>Here&rsquo;s an example simple line-fit. The <tt>x</tt> and <tt>y</tt>
fields of the <tt>data/medium</tt> dataset are just independent uniformly
distributed on the unit interval. Here we remove half the data and fit a line to it.
<p/>
<div class="pokipanel">
<pre>
# Prepare input data:
mlr filter '($x&lt;.5 &amp;&amp; $y&lt;.5) || ($x&gt;.5 &amp;&amp; $y&gt;.5)' data/medium &gt; data/medium-squares
# Do a linear regression and examine coefficients:
mlr --ofs newline stats2 -a linreg-pca -f x,y data/medium-squares
x_y_pca_m=1.014419
x_y_pca_b=0.000308
x_y_pca_quality=0.861354
# Option 1 to apply the regression coefficients and produce a linear fit:
# Set x_y_pca_m and x_y_pca_b as shell variables:
eval $(mlr --ofs newline stats2 -a linreg-pca -f x,y data/medium-squares)
# In addition to x and y, make a new yfit which is the line fit, then plot
# using your favorite tool:
mlr --onidx put '$yfit='$x_y_pca_m'*$x+'$x_y_pca_b then cut -x -f a,b,i data/medium-squares \
| pgr -p -title 'linreg-pca example' -xmin 0 -xmax 1 -ymin 0 -ymax 1
# Option 2 to apply the regression coefficients and produce a linear fit: use --fit option
mlr --onidx stats2 -a linreg-pca --fit -f x,y then cut -f a,b,i data/medium-squares \
| pgr -p -title 'linreg-pca example' -xmin 0 -xmax 1 -ymin 0 -ymax 1
</pre>
</div>
<p/>
<p/>I use <a href="https://github.com/johnkerl/pgr"><tt>pgr</tt></a> for
plotting; here&rsquo;s a screenshot.
<center>
<img src="data/linreg-example.jpg"/>
</center>
<p/> (Thanks Drew Kunas for a good conversation about PCA!)
<p/> Here&rsquo;s an example estimating time-to-completion for a set of jobs.
Input data comes from a log file, with number of work units left to do in the
<tt>count</tt> field and accumulated seconds in the <tt>upsec</tt> field,
labeled by the <tt>color</tt> field:
<p/>
<div class="pokipanel">
<pre>
$ head -n 10 data/multicountdown.dat
upsec=0.002,color=green,count=1203
upsec=0.083,color=red,count=3817
upsec=0.188,color=red,count=3801
upsec=0.395,color=blue,count=2697
upsec=0.526,color=purple,count=953
upsec=0.671,color=blue,count=2684
upsec=0.899,color=purple,count=926
upsec=0.912,color=red,count=3798
upsec=1.093,color=blue,count=2662
upsec=1.327,color=purple,count=917
</pre>
</div>
<p/>
We can do a linear regression on count remaining as a function of time: with <tt>c = m*u+b</tt> we want to find the
time when the count goes to zero, i.e. <tt>u=-b/m</tt>.
<p/>
<div class="pokipanel">
<pre>
$ mlr --oxtab stats2 -a linreg-pca -f upsec,count -g color then put '$donesec = -$upsec_count_pca_b/$upsec_count_pca_m' data/multicountdown.dat
color green
upsec_count_pca_m -32.756917
upsec_count_pca_b 1213.722730
upsec_count_pca_n 24
upsec_count_pca_quality 0.999984
donesec 37.052410
color red
upsec_count_pca_m -37.367646
upsec_count_pca_b 3810.133400
upsec_count_pca_n 30
upsec_count_pca_quality 0.999989
donesec 101.963431
color blue
upsec_count_pca_m -29.231212
upsec_count_pca_b 2698.932820
upsec_count_pca_n 25
upsec_count_pca_quality 0.999959
donesec 92.330514
color purple
upsec_count_pca_m -39.030097
upsec_count_pca_b 979.988341
upsec_count_pca_n 21
upsec_count_pca_quality 0.999991
donesec 25.108529
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="step"/><h2>step</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr step --help
Usage: mlr step [options]
Computes values dependent on the previous record, optionally grouped
by category.
Options:
-a {delta,rsum,...} Names of steppers: comma-separated, one or more of:
delta Compute differences in field(s) between successive records
shift Include value(s) in field(s) from previous record, if any
from-first Compute differences in field(s) from first record
ratio Compute ratios in field(s) between successive records
rsum Compute running sums of field(s) between successive records
counter Count instances of field(s) between successive records
ewma Exponentially weighted moving average over successive records
-f {a,b,c} Value-field names on which to compute statistics
-g {d,e,f} Optional group-by-field names
-F Computes integerable things (e.g. counter) in floating point.
-d {x,y,z} Weights for ewma. 1 means current sample gets all weight (no
smoothing), near under under 1 is light smoothing, near over 0 is
heavy smoothing. Multiple weights may be specified, e.g.
"mlr step -a ewma -f sys_load -d 0.01,0.1,0.9". Default if omitted
is "-d 0.5".
-o {a,b,c} Custom suffixes for EWMA output fields. If omitted, these default to
the -d values. If supplied, the number of -o values must be the same
as the number of -d values.
Examples:
mlr step -a rsum -f request_size
mlr step -a delta -f request_size -g hostname
mlr step -a ewma -d 0.1,0.9 -f x,y
mlr step -a ewma -d 0.1,0.9 -o smooth,rough -f x,y
mlr step -a ewma -d 0.1,0.9 -o smooth,rough -f x,y -g group_name
Please see http://johnkerl.org/miller/doc/reference.html#filter or
https://en.wikipedia.org/wiki/Moving_average#Exponential_moving_average
for more information on EWMA.
</pre>
</div>
<p/>
Most Miller commands are record-at-a-time, with the exception of <tt>stats1</tt>,
<tt>stats2</tt>, and <tt>histogram</tt> which compute aggregate output. The
<tt>step</tt> command is intermediate: it allows the option of adding fields
which are functions of fields from previous records. Rsum is short for <i>running sum</i>.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint step -a shift,delta,rsum,counter -f x data/medium | head -15
a b i x y x_shift x_delta x_rsum x_counter
pan pan 1 0.3467901443380824 0.7268028627434533 - 0 0.346790 1
eks pan 2 0.7586799647899636 0.5221511083334797 0.3467901443380824 0.411890 1.105470 2
wye wye 3 0.20460330576630303 0.33831852551664776 0.7586799647899636 -0.554077 1.310073 3
eks wye 4 0.38139939387114097 0.13418874328430463 0.20460330576630303 0.176796 1.691473 4
wye pan 5 0.5732889198020006 0.8636244699032729 0.38139939387114097 0.191890 2.264762 5
zee pan 6 0.5271261600918548 0.49322128674835697 0.5732889198020006 -0.046163 2.791888 6
eks zee 7 0.6117840605678454 0.1878849191181694 0.5271261600918548 0.084658 3.403672 7
zee wye 8 0.5985540091064224 0.976181385699006 0.6117840605678454 -0.013230 4.002226 8
hat wye 9 0.03144187646093577 0.7495507603507059 0.5985540091064224 -0.567112 4.033668 9
pan wye 10 0.5026260055412137 0.9526183602969864 0.03144187646093577 0.471184 4.536294 10
pan pan 11 0.7930488423451967 0.6505816637259333 0.5026260055412137 0.290423 5.329343 11
zee pan 12 0.3676141320555616 0.23614420670296965 0.7930488423451967 -0.425435 5.696957 12
eks pan 13 0.4915175580479536 0.7709126592971468 0.3676141320555616 0.123903 6.188474 13
eks zee 14 0.5207382318405251 0.34141681118811673 0.4915175580479536 0.029221 6.709213 14
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint step -a shift,delta,rsum,counter -f x -g a data/medium | head -15
a b i x y x_shift x_delta x_rsum x_counter
pan pan 1 0.3467901443380824 0.7268028627434533 - 0 0.346790 1
eks pan 2 0.7586799647899636 0.5221511083334797 - 0 0.758680 1
wye wye 3 0.20460330576630303 0.33831852551664776 - 0 0.204603 1
eks wye 4 0.38139939387114097 0.13418874328430463 0.7586799647899636 -0.377281 1.140079 2
wye pan 5 0.5732889198020006 0.8636244699032729 0.20460330576630303 0.368686 0.777892 2
zee pan 6 0.5271261600918548 0.49322128674835697 - 0 0.527126 1
eks zee 7 0.6117840605678454 0.1878849191181694 0.38139939387114097 0.230385 1.751863 3
zee wye 8 0.5985540091064224 0.976181385699006 0.5271261600918548 0.071428 1.125680 2
hat wye 9 0.03144187646093577 0.7495507603507059 - 0 0.031442 1
pan wye 10 0.5026260055412137 0.9526183602969864 0.3467901443380824 0.155836 0.849416 2
pan pan 11 0.7930488423451967 0.6505816637259333 0.5026260055412137 0.290423 1.642465 3
zee pan 12 0.3676141320555616 0.23614420670296965 0.5985540091064224 -0.230940 1.493294 3
eks pan 13 0.4915175580479536 0.7709126592971468 0.6117840605678454 -0.120267 2.243381 4
eks zee 14 0.5207382318405251 0.34141681118811673 0.4915175580479536 0.029221 2.764119 5
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint step -a ewma -f x -d 0.1,0.9 ../doc/data/medium | head -15
a b i x y x_ewma_0.1 x_ewma_0.9
pan pan 1 0.3467901443380824 0.7268028627434533 0.346790 0.346790
eks pan 2 0.7586799647899636 0.5221511083334797 0.387979 0.717491
wye wye 3 0.20460330576630303 0.33831852551664776 0.369642 0.255892
eks wye 4 0.38139939387114097 0.13418874328430463 0.370817 0.368849
wye pan 5 0.5732889198020006 0.8636244699032729 0.391064 0.552845
zee pan 6 0.5271261600918548 0.49322128674835697 0.404671 0.529698
eks zee 7 0.6117840605678454 0.1878849191181694 0.425382 0.603575
zee wye 8 0.5985540091064224 0.976181385699006 0.442699 0.599056
hat wye 9 0.03144187646093577 0.7495507603507059 0.401573 0.088203
pan wye 10 0.5026260055412137 0.9526183602969864 0.411679 0.461184
pan pan 11 0.7930488423451967 0.6505816637259333 0.449816 0.759862
zee pan 12 0.3676141320555616 0.23614420670296965 0.441596 0.406839
eks pan 13 0.4915175580479536 0.7709126592971468 0.446588 0.483050
eks zee 14 0.5207382318405251 0.34141681118811673 0.454003 0.516969
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint step -a ewma -f x -d 0.1,0.9 -o smooth,rough ../doc/data/medium | head -15
a b i x y x_ewma_smooth x_ewma_rough
pan pan 1 0.3467901443380824 0.7268028627434533 0.346790 0.346790
eks pan 2 0.7586799647899636 0.5221511083334797 0.387979 0.717491
wye wye 3 0.20460330576630303 0.33831852551664776 0.369642 0.255892
eks wye 4 0.38139939387114097 0.13418874328430463 0.370817 0.368849
wye pan 5 0.5732889198020006 0.8636244699032729 0.391064 0.552845
zee pan 6 0.5271261600918548 0.49322128674835697 0.404671 0.529698
eks zee 7 0.6117840605678454 0.1878849191181694 0.425382 0.603575
zee wye 8 0.5985540091064224 0.976181385699006 0.442699 0.599056
hat wye 9 0.03144187646093577 0.7495507603507059 0.401573 0.088203
pan wye 10 0.5026260055412137 0.9526183602969864 0.411679 0.461184
pan pan 11 0.7930488423451967 0.6505816637259333 0.449816 0.759862
zee pan 12 0.3676141320555616 0.23614420670296965 0.441596 0.406839
eks pan 13 0.4915175580479536 0.7709126592971468 0.446588 0.483050
eks zee 14 0.5207382318405251 0.34141681118811673 0.454003 0.516969
</pre>
</div>
<p/>
</td></tr></table>
Example deriving uptime-delta from system uptime:
<p/>
<div class="pokipanel">
<pre>
$ each 10 uptime | mlr -p step -a delta -f 11
...
20:08 up 36 days, 10:38, 5 users, load averages: 1.42 1.62 1.73 0.000000
20:08 up 36 days, 10:38, 5 users, load averages: 1.55 1.64 1.74 0.020000
20:08 up 36 days, 10:38, 7 users, load averages: 1.58 1.65 1.74 0.010000
20:08 up 36 days, 10:38, 9 users, load averages: 1.78 1.69 1.76 0.040000
20:08 up 36 days, 10:39, 9 users, load averages: 2.12 1.76 1.78 0.070000
20:08 up 36 days, 10:39, 9 users, load averages: 2.51 1.85 1.81 0.090000
20:08 up 36 days, 10:39, 8 users, load averages: 2.79 1.92 1.83 0.070000
20:08 up 36 days, 10:39, 4 users, load averages: 2.64 1.90 1.83 -0.020000
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="tac"/><h2>tac</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr tac --help
Usage: mlr tac
Prints records in reverse order from the order in which they were encountered.
</pre>
</div>
<p/>
<p/>Prints the records in the input stream in reverse order. Note: this
requires Miller to retain all input records in memory before any output records
are produced.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsv --opprint cat data/a.csv
a b c
1 2 3
4 5 6
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsv --opprint cat data/b.csv
a b c
7 8 9
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsv --opprint tac data/a.csv data/b.csv
a b c
7 8 9
4 5 6
1 2 3
</pre>
</div>
<p/>
</td></tr></table>
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --icsv --opprint put '$filename=FILENAME' then tac data/a.csv data/b.csv
a b c filename
7 8 9 data/b.csv
4 5 6 data/a.csv
1 2 3 data/a.csv
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="tail"/><h2>tail</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr tail --help
Usage: mlr tail [options]
-n {count} Tail count to print; default 10
-g {a,b,c} Optional group-by-field names for tail counts
Passes through the last n records, optionally by category.
</pre>
</div>
<p/>
<p/> Prints the last <i>n</i> records in the input stream, optionally by category.
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint tail -n 4 data/colored-shapes.dkvp
color shape flag i u v w x
blue square 1 99974 0.6189062525431605 0.2637962404841453 0.5311465405784674 6.210738209085753
blue triangle 0 99976 0.008110504040268474 0.8267274952432482 0.4732962944898885 6.146956761817328
yellow triangle 0 99990 0.3839424618160777 0.55952913620132 0.5113763011485609 4.307973891915119
yellow circle 1 99994 0.764950884927175 0.25284227383991364 0.49969878539567425 5.013809741826425
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint tail -n 1 -g shape data/colored-shapes.dkvp
color shape flag i u v w x
yellow triangle 0 99990 0.3839424618160777 0.55952913620132 0.5113763011485609 4.307973891915119
blue square 1 99974 0.6189062525431605 0.2637962404841453 0.5311465405784674 6.210738209085753
yellow circle 1 99994 0.764950884927175 0.25284227383991364 0.49969878539567425 5.013809741826425
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="tee"/><h2>tee</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr tee --help
Usage: mlr tee [options] {filename}
Passes through input records (like mlr cat) but also writes to specified output
file, using output-format flags from the command line (e.g. --ocsv). See also
the "tee" keyword within mlr put, which allows data-dependent filenames.
Options:
-a: append to existing file, if any, rather than overwriting.
--no-fflush: don't call fflush() after every record.
Any of the output-format command-line flags (see mlr -h). Example: using
mlr --icsv --opprint put '...' then tee --ojson ./mytap.dat then stats1 ...
the input is CSV, the output is pretty-print tabular, but the tee-file output
is written in JSON format.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="top"/><h2>top</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr top --help
Usage: mlr top [options]
-f {a,b,c} Value-field names for top counts.
-g {d,e,f} Optional group-by-field names for top counts.
-n {count} How many records to print per category; default 1.
-a Print all fields for top-value records; default is
to print only value and group-by fields. Requires a single
value-field name only.
--min Print top smallest values; default is top largest values.
-F Keep top values as floats even if they look like integers.
Prints the n records with smallest/largest values at specified fields,
optionally by category.
</pre>
</div>
<p/>
Note that <tt>top</tt> is distinct from <a href="#head"><tt>head</tt></a>
&mdash; <tt>head</tt> shows fields which appear first in the data stream;
<tt>top</tt> shows fields which are numerically largest (or smallest).
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint top -n 4 -f x data/medium
top_idx x_top
1 0.999953
2 0.999823
3 0.999733
4 0.999563
</pre>
</div>
<p/>
</td><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint top -n 2 -f x -g a then sort -f a data/medium
a top_idx x_top
eks 1 0.998811
eks 2 0.998534
hat 1 0.999953
hat 2 0.999733
pan 1 0.999403
pan 2 0.999044
wye 1 0.999823
wye 2 0.999264
zee 1 0.999490
zee 2 0.999438
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="uniq"/><h2>uniq</h2>
<p/>
<div class="pokipanel">
<pre>
$ mlr uniq --help
Usage: mlr uniq [options]
-g {d,e,f} Group-by-field names for uniq counts.
-c Show repeat counts in addition to unique values.
-n Show only the number of distinct values.
Prints distinct values for specified field names. With -c, same as
count-distinct. For uniq, -f is a synonym for -g.
</pre>
</div>
<p/>
<table><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ wc -l data/colored-shapes.dkvp
10078 data/colored-shapes.dkvp
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr uniq -g color,shape data/colored-shapes.dkvp
color=yellow,shape=triangle
color=red,shape=square
color=red,shape=circle
color=purple,shape=triangle
color=yellow,shape=circle
color=purple,shape=square
color=yellow,shape=square
color=red,shape=triangle
color=green,shape=triangle
color=green,shape=square
color=blue,shape=circle
color=blue,shape=triangle
color=purple,shape=circle
color=blue,shape=square
color=green,shape=circle
color=orange,shape=triangle
color=orange,shape=square
color=orange,shape=circle
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint uniq -g color,shape -c then sort -f color,shape data/colored-shapes.dkvp
color shape count
blue circle 384
blue square 589
blue triangle 497
green circle 287
green square 454
green triangle 368
orange circle 68
orange square 128
orange triangle 107
purple circle 289
purple square 481
purple triangle 372
red circle 1207
red square 1874
red triangle 1560
yellow circle 356
yellow square 589
yellow triangle 468
</pre>
</div>
<p/>
</td></tr><tr><td>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint uniq -n -g color,shape data/colored-shapes.dkvp
count
18
</pre>
</div>
<p/>
</td></tr></table>
<!-- ================================================================ -->
<a id="Expression_language_for_filter_and_put"/><h1>Expression language for filter and put</h1>
The essential usages of <tt>mlr filter</tt> and <tt>mlr put</tt> are for
record-selection and record-updating expressions, respectively. For example:
<p/>
<div class="pokipanel">
<pre>
$ cat data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr filter '$a == "eks"' data/small
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$ab = $a . "_" . $b ' data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533,ab=pan_pan
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,ab=eks_pan
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776,ab=wye_wye
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463,ab=eks_wye
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,ab=wye_pan
</pre>
</div>
<p/>
<p/>The two are essentially the same command. The only differences are:
expressions sent to <tt>mlr filter</tt> must end with a boolean expression,
which is the filtering criterion; <tt>mlr filter</tt> expressions may not
reference the <tt>filter</tt> keyword within them; and <tt>mlr filter</tt>
expressions may not use <tt>tee</tt>, <tt>emit</tt>, <tt>emitp</tt>, or
<tt>emitf</tt>. All the rest is the same: in particular, you can define and
invoke functions and subroutines to help produce the final boolean statement,
and record fields may be assigned to in the statements preceding the final
boolean statement.
<p/>There are more details and more choices, of course, as detailed in the following sections.
<!-- ================================================================ -->
<a id="Syntax"/><h2>Syntax</h2>
<!-- ================================================================ -->
<a id="Expression_formatting"/><h3>Expression formatting</h3>
<p/>Multiple expressions may be given, separated by semicolons, and each may refer to the ones before:
<p/>
<div class="pokipanel">
<pre>
$ ruby -e '10.times{|i|puts "i=#{i}"}' | mlr --opprint put '$j = $i + 1; $k = $i +$j'
i j k
0 1 1
1 2 3
2 3 5
3 4 7
4 5 9
5 6 11
6 7 13
7 8 15
8 9 17
9 10 19
</pre>
</div>
<p/>
Newlines within the expression are ignored, which can help increase legibility of complex expressions:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint put '
$nf = NF;
$nr = NR;
$fnr = FNR;
$filenum = FILENUM;
$filename = FILENAME
' data/small data/small2
a b i x y nf nr fnr filenum filename
pan pan 1 0.3467901443380824 0.7268028627434533 5 1 1 1 data/small
eks pan 2 0.7586799647899636 0.5221511083334797 5 2 2 1 data/small
wye wye 3 0.20460330576630303 0.33831852551664776 5 3 3 1 data/small
eks wye 4 0.38139939387114097 0.13418874328430463 5 4 4 1 data/small
wye pan 5 0.5732889198020006 0.8636244699032729 5 5 5 1 data/small
pan eks 9999 0.267481232652199086 0.557077185510228001 5 6 1 2 data/small2
wye eks 10000 0.734806020620654365 0.884788571337605134 5 7 2 2 data/small2
pan wye 10001 0.870530722602517626 0.009854780514656930 5 8 3 2 data/small2
hat wye 10002 0.321507044286237609 0.568893318795083758 5 9 4 2 data/small2
pan zee 10003 0.272054845593895200 0.425789896597056627 5 10 5 2 data/small2
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint filter '($x &gt; 0.5 &amp;&amp; $y &lt; 0.5) || ($x &lt; 0.5 &amp;&amp; $y &gt; 0.5)' then stats2 -a corr -f x,y data/medium
x_y_corr
-0.747994
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Expressions_from_files"/><h3>Expressions from files</h3>
<p/>The simplest way to enter expressions for <tt>put</tt> and <tt>filter</tt> is between single quotes on the command line, e.g.
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small put '$xy = sqrt($x**2 + $y**2)'
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533,xy=0.805299
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,xy=0.920998
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776,xy=0.395376
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463,xy=0.404317
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,xy=1.036584
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small put 'func f(a, b) { return sqrt(a**2 + b**2) } $xy = f($x, $y)'
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533,xy=0.805299
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,xy=0.920998
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776,xy=0.395376
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463,xy=0.404317
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,xy=1.036584
</pre>
</div>
<p/>
<p/>You may, though, find it convenient to put expressions into files for reuse, and read them
<b>using the -f option</b>. For example:
<p/>
<div class="pokipanel">
<pre>
$ cat data/fe-example-3.mlr
func f(a, b) {
return sqrt(a**2 + b**2)
}
$xy = f($x, $y)
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small put -f data/fe-example-3.mlr
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533,xy=0.805299
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,xy=0.920998
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776,xy=0.395376
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463,xy=0.404317
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,xy=1.036584
</pre>
</div>
<p/>
<p/>If you have some of the logic in a file and you want to write the rest on the command line, you
can <b>use the -f and -e options</b>:
<p/>
<div class="pokipanel">
<pre>
$ cat data/fe-example-4.mlr
func f(a, b) {
return sqrt(a**2 + b**2)
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small put -f data/fe-example-4.mlr -e '$xy = f($x, $y)'
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533,xy=0.805299
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,xy=0.920998
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776,xy=0.395376
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463,xy=0.404317
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,xy=1.036584
</pre>
</div>
<p/>
<p/>A suggested use-case here is defining functions in files, and calling them from command-line expressions.
<p/>Another suggest use-case is putting default parameter values in files, e.g. using
<tt>begin{@count=ispresent(@count)?@count:10}</tt> in the file, where you can precede that using
<tt>begin{@count=40}</tt> using <tt>-e</tt>.
<p/>Moreover, you can have one or more <tt>-f</tt> expressions (maybe one
function per file, for example) and one or more <tt>-e</tt> expressions on the
command line. If you mix <tt>-f</tt> and <tt>-e</tt> then the expressions are
evaluated in the order encountered. (Since the expressions are all simply
concatenated together in order, don&rsquo;t forget intervening semicolons: e.g.
not <tt>mlr put -e '$x=1' -e '$y=2 ...'</tt> but rather <tt>mlr put -e '$x=1;' -e
'$y=2' ...</tt>.)
<!-- ================================================================ -->
<a id="Semicolons,_newlines,_and_curly_braces"/><h3>Semicolons, newlines, and curly braces</h3>
<p/>Miller uses semicolons as statement separators, not statement terminators. This means you can write:
<p/>
<div class="pokipanel">
<pre>
mlr put 'x=1'
mlr put 'x=1;$y=2'
mlr put 'x=1;$y=2;'
mlr put 'x=1;;;;$y=2;'
</pre>
</div>
<p/>
<p/>Semicolons are optional after closing curly braces (which close conditionals and loops as discussed below).
<p/>
<div class="pokipanel">
<pre>
$ echo x=1,y=2 | mlr put 'while (NF &lt; 10) { $[NF+1] = ""} $foo = "bar"'
x=1,y=2,3=,4=,5=,6=,7=,8=,9=,10=,foo=bar
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo x=1,y=2 | mlr put 'while (NF &lt; 10) { $[NF+1] = ""}; $foo = "bar"'
x=1,y=2,3=,4=,5=,6=,7=,8=,9=,10=,foo=bar
</pre>
</div>
<p/>
<p/>Semicolons are required between statements even if those statements are on
separate lines. Newlines are for your convenience but have no syntactic
meaning: line endings do not terminate statements. For example, adjacent
assignment statements must be separated by semicolons even if those statements
are on separate lines:
<p/>
<div class="pokipanel">
<pre>
mlr put '
$x = 1
$y = 2 # Syntax error
'
mlr put '
$x = 1;
$y = 2 # This is OK
'
</pre>
</div>
<p/>
<p/>Bodies for all compound statements must be enclosed in curly braces, even if the body is a single statement:
<p/>
<div class="pokipanel">
<pre>
mlr put 'if ($x == 1) $y = 2' # Syntax error
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
mlr put 'if ($x == 1) { $y = 2 }' # This is OK
</pre>
</div>
<p/>
<p/>Bodies for compound statements may be empty:
<p/>
<div class="pokipanel">
<pre>
mlr put 'if ($x == 1) { }' # This no-op is syntactically acceptable
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Variables"/><h2>Variables</h2>
<p/>Miller has the following kinds of variables:
<p/> <b>Built-in variables</b> such as <tt>NF</tt>, <tt>NF</tt>,
<tt>FILENAME</tt>, <tt>PI</tt>, and <tt>E</tt>. These are all capital letters
and are read-only (although some of them change value from one record to
another).
<p/> <b>Fields of stream records</b>, accessed using the <tt>$</tt> prefix.
These refer to fields of the current data-stream record. For example, in
<tt>echo x=1,y=2 | mlr put '$z = $x + $y'</tt>, <tt>$x</tt> and <tt>$y</tt>
refer to input fields, and <tt>$z</tt> refers to a new, computed output field.
In a few contexts, presented below, you can refer to the entire record as
<tt>$*</tt>.
<p/> <b>Out-of-stream variables</b> accessed using the <tt>@</tt> prefix. These
refer to data which persist from one record to the next, including in
<tt>begin</tt> and <tt>end</tt> blocks (which execute before/after the record
stream is consumed, respectively). You use them to remember values across
records, such as sums, differences, counters, and so on. In a few contexts,
presented below, you can refer to the entire out-of-stream-variables collection
as <tt>@*</tt>.
<p/> <b>Local variables</b> are limited in scope and extent to the current
statements being executed: these include function arguments, bound variables in
for loops, and explicitly declared local variables.
<p/> <b>Keywords</b> are not variables, but since their names are reserved, you
cannot use these names for local variables.
<!-- ================================================================ -->
<a id="Built-in_variables"/><h3>Built-in variables</h3>
<p/> These are written all in capital letters, such as <tt>NR</tt>,
<tt>NF</tt>, <tt>FILENAME</tt>, and only a small, specific set of them is
defined by Miller.
<p/>Miller supports the following five built-in variables for <a
href="#filter"><tt>filter</tt></a> and <tt>put</tt>, all <tt>awk</tt>-inspired:
<tt>NF</tt>, <tt>NR</tt>, <tt>FNR</tt>, <tt>FILENUM</tt>, and
<tt>FILENAME</tt>, as well as the mathematical constants <tt>PI</tt> and
<tt>E</tt>. Lastly, the <tt>ENV</tt> hashmap allows read access to environment
variables, e.g. <tt>ENV["HOME"]</tt> or <tt>ENV["foo_".$hostname]</tt>.
<p/>
<div class="pokipanel">
<pre>
$ mlr filter 'FNR == 2' data/small*
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
1=pan,2=pan,3=1,4=0.3467901443380824,5=0.7268028627434533
a=wye,b=eks,i=10000,x=0.734806020620654365,y=0.884788571337605134
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$fnr = FNR' data/small*
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533,fnr=1
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,fnr=2
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776,fnr=3
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463,fnr=4
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,fnr=5
1=a,2=b,3=i,4=x,5=y,fnr=1
1=pan,2=pan,3=1,4=0.3467901443380824,5=0.7268028627434533,fnr=2
1=eks,2=pan,3=2,4=0.7586799647899636,5=0.5221511083334797,fnr=3
1=wye,2=wye,3=3,4=0.20460330576630303,5=0.33831852551664776,fnr=4
1=eks,2=wye,3=4,4=0.38139939387114097,5=0.13418874328430463,fnr=5
1=wye,2=pan,3=5,4=0.5732889198020006,5=0.8636244699032729,fnr=6
a=pan,b=eks,i=9999,x=0.267481232652199086,y=0.557077185510228001,fnr=1
a=wye,b=eks,i=10000,x=0.734806020620654365,y=0.884788571337605134,fnr=2
a=pan,b=wye,i=10001,x=0.870530722602517626,y=0.009854780514656930,fnr=3
a=hat,b=wye,i=10002,x=0.321507044286237609,y=0.568893318795083758,fnr=4
a=pan,b=zee,i=10003,x=0.272054845593895200,y=0.425789896597056627,fnr=5
</pre>
</div>
<p/>
<p/> Their values of <tt>NF</tt>, <tt>NR</tt>, <tt>FNR</tt>, <tt>FILENUM</tt>,
and <tt>FILENAME</tt> change from one record to the next as Miller scans
through your input data stream. The mathematical constants, of course, do not
change; <tt>ENV</tt> is populated from the system environment variables at the
time Miller starts and is read-only for the remainder of program execution.
<p/> Their <b>scope is global</b>: you can refer to them in any <tt>filter</tt>
or <tt>put</tt> statement. Their values are assigned by the input-record
reader:
<p/>
<div class="pokipanel">
<pre>
$ mlr --csv put '$nr = NR' data/a.csv
a,b,c,nr
1,2,3,1
4,5,6,2
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --csv repeat -n 3 then put '$nr = NR' data/a.csv
a,b,c,nr
1,2,3,1
1,2,3,1
1,2,3,1
4,5,6,2
4,5,6,2
4,5,6,2
</pre>
</div>
<p/>
<p/> The <b>extent</b> is for the duration of the put/filter: in a
<tt>begin</tt> statement (which executes before the first input record is
consumed) you will find <tt>NR=1</tt> and in an <tt>end</tt>statement (which is
executed after the last input record is consumed) you will find <tt>NR</tt> to
be the total number of records ingested.
<p/> These are all <b>read-only</b> for the <tt>mlr put</tt> and <tt>mlr
filter</tt> DSLs: they may be assigned from, e.g. <tt>$nr=NR</tt>, but they may
not be assigned to: <tt>NR=100</tt> is a syntax error.
<!-- ================================================================ -->
<a id="Field_names"/><h3>Field names</h3>
<p/>Field names must be specified using a <tt>$</tt> in <tt>filter</tt> and <a
href="#put"><tt>put</tt></a> expressions, even though the dollar signs
don&rsquo;t appear in the data stream. For integer-indexed data, this looks
like <tt>awk</tt>&rsquo;s <tt>$1,$2,$3</tt>, except that Miller allows
non-numeric names such as <tt>$quantity</tt> or <tt>$hostname</tt>. (Likewise,
enclose string literals in double quotes in <tt>filter</tt> expressions even
though they don&rsquo;t appear in file data. In particular, <tt>mlr filter
'$x=="abc"'</tt> passes through the record <tt>x=abc</tt>.)
<p/>If field names have <b>special characters</b> such as <tt>.</tt> then you can use
braces, e.g. <tt>'${field.name}'</tt>.
<p/>You may also use a <b>computed field name</b> in square brackets, e.g.
<p/>
<div class="pokipanel">
<pre>
$ echo a=3,b=4 | mlr filter '$["x"] &lt; 0.5'
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo s=green,t=blue,a=3,b=4 | mlr put '$[$s."_".$t] = $a * $b'
s=green,t=blue,a=3,b=4,green_blue=12
</pre>
</div>
<p/>
<p/> The names of record fields depend on the contents of your input data stream, and their
values change from one record to the next as Miller scans through your input
data stream.
<p/> Their <b>extent</b> is limited to the current record; their <b>scope</b>
is the <tt>filter</tt> or <tt>put</tt> command in which they appear.
<p/> These are <b>read-write</b>: you can do <tt>$y=2*$x</tt>,
<tt>$x=$x+1</tt>, etc.
<p/> Records are Miller&rsquo;s output: field names present in the input
stream are passed through to output (written to standard output) unless fields
are removed with <tt>cut</tt>, or records are excluded with <tt>filter</tt> or
<tt>put -q</tt>, etc. Simply assign a value to a field and it will be output.
<!-- ================================================================ -->
<a id="Local_variables"/><h3>Local variables</h3>
<p/>There are three kinds of local variables: <b>arguments</b> to
functions/subroutines, <b>variables bound within for-loops</b>, and
<b>locals</b> defined within control blocks. They may be untyped using
<tt>var</tt>, or typed using <tt>num</tt>, <tt>int</tt>, <tt>float</tt>,
<tt>str</tt>, and <tt>bool</tt>.
<p/>For example:
<p/>
<div class="pokipanel">
<pre>
$ # Here I'm using a specified random-number seed so this example always
# produces the same output for this web document: in everyday practice we
# would leave off the --seed 12345 part.
mlr --seed 12345 seqgen --start 1 --stop 10 then put '
func f(a, b) { # function arguments a and b
r = 0.0; # local r scoped to the function
for (int i = 0; i &lt; 6; i += 1) { # local i scoped to the for-loop
num u = urand(); # local u scoped to the for-loop
r += u; # updates r from the enclosing scope
}
r /= 6;
return a + (b - a) * r;
}
num o = f(10, 20); # local to the top-level scope
$o = o;
'
i=1,o=14.662901
i=2,o=17.881983
i=3,o=14.586560
i=4,o=16.402409
i=5,o=16.336598
i=6,o=14.622701
i=7,o=15.983753
i=8,o=13.852177
i=9,o=15.472899
i=10,o=15.643912
</pre>
</div>
<p/>
<p/>Notes:
<ul>
<li/> Parameter names are bound to their arguments but can be reassigned, e.g.
if there is a parameter named <tt>a</tt> then you can reassign the value of
<tt>a</tt> to be something else within the function if you like.
<li/> However, you cannot redeclare the <i>type</i> of an argument or a local:
<tt>var a=1; var a=2</tt> is an error but
<tt>var a=1; a=2</tt> is OK.
<li/> Type declarations using <tt>var</tt>, or typed using <tt>num</tt>,
<tt>int</tt>, <tt>float</tt>, <tt>str</tt>, and <tt>bool</tt> are necessary to
declare local variables. Function arguments and variables bound in for-loops
over stream records and out-of-stream variables are <i>implicitly</i> declared
using <tt>var</tt>. (Some examples are shown below.)
<li/> Type-checking is done at assignment time. For example, <tt>float f =
0</tt> is an error (since <tt>0</tt> is an integer), as is <tt>float f = 0.0; f
= 1</tt>. For this reason I prefer to use <tt>num</tt> over <tt>float</tt>
since <tt>num</tt> encompasses integer and floating-point values.
<li/> All argument-passing is positional rather than by name; arguments are
passed by value, not by reference.
<li/> You can define locals (using <tt>var</tt>, <tt>num</tt>, etc.) at any
scope (if-statements, else-statements, while-loops, for-loops, or the top-level
scope), and nested scopes will have access (more details on scope in the next
section). If you define a local variable with the same name inside an inner
scope, then a new variable is created with the narrower scope.
<li/> If you assign to a local variable for the first time in a scope without
declaring it as <tt>var</tt>, <tt>num</tt>, etc. then: if it exists in an outer
scope, that outer-scope variable will be updated; if not, it will be defined in
the current scope as if <tt>var</tt> had been used. I recommend always
declaring variables explicitly to make the intended scoping clear.
<li/> Functions and subroutines never have access to locals from their callee
(unless passed by value as arguments).
<li/> Bound variables in for-loops over stream records and out-of-stream
variables are implicitly local to that block. E.g. in
<tt>for (k, v in $*) { ... }</tt>
<tt>for ((k1, k2), v in @*) { ... }</tt>
if there are <tt>k</tt>, <tt>v</tt>, etc. in the enclosing scope then those
will be masked by the loop-local bound variables in the loop, and moreover
the values of the loop-local bound variables are not available after the
end of the loop.
<li/> For C-style triple-for loops, if a for-loop variable is defined using
<tt>var</tt>, <tt>int</tt>, etc. then it is scoped to that for-loop. E.g.
<tt>for (i = 0; i < 10; i += 1) { ... }</tt> and
<tt>for (int i = 0; i < 10; i += 1) { ... }</tt>.
</ul>
<p/> The following example demonstrates the scope rules:
<p/>
<div class="pokipanel">
<pre>
$ cat data/scope-example.mlr
func f(a) { # argument is local to the function
var b = 100; # local to the function
c = 100; # local to the function; does not overwrite outer c
return a + 1;
}
var a = 10; # local at top level
var b = 20; # local at top level
c = 30; # local at top level; there is no more-outer-scope c
if (NR == 3) {
var a = 40; # scoped to the if-statement; doesn't overwrite outer a
b = 50; # not scoped to the if-statement; overwrites outer b
c = 60; # not scoped to the if-statement; overwrites outer c
d = 70; # there is no outer d so a local d is created here
$inner_a = a;
$inner_b = b;
$inner_c = c;
$inner_d = d;
}
$outer_a = a;
$outer_b = b;
$outer_c = c;
$outer_d = d; # there is no outer d defined so no assignment happens
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ cat data/scope-example.dat
n=1,x=123
n=2,x=456
n=3,x=789
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --oxtab --from data/scope-example.dat put -f data/scope-example.mlr
n 1
x 123
outer_a 10
outer_b 20
outer_c 30
n 2
x 456
outer_a 10
outer_b 20
outer_c 30
n 3
x 789
inner_a 40
inner_b 50
inner_c 60
inner_d 70
outer_a 10
outer_b 50
outer_c 60
</pre>
</div>
<p/>
<p/> And this example demonstrates the type-declaration rules:
<p/>
<div class="pokipanel">
<pre>
$ cat data/type-decl-example.mlr
subr s(a, str b, int c) { # a is implicitly var (untyped).
# b is explicitly str.
# c is explicitly int.
# The type-checking is done at the callsite
# when arguments are bound to parameters.
#
var b = 100; # error # Re-declaration in the same scope is disallowed.
int n = 10; # Declaration of variable local to the subroutine.
n = 20; # Assignment is OK.
int n = 30; # error # Re-declaration in the same scope is disallowed.
str n = "abc"; # error # Re-declaration in the same scope is disallowed.
#
float f1 = 1; # error # 1 is an int, not a float.
float f2 = 2.0; # 2.0 is a float.
num f3 = 3; # 3 is a num.
num f4 = 4.0; # 4.0 is a num.
} #
#
call s(1, 2, 3); # Type-assertion '3 is int' is done here at the callsite.
#
k = "def"; # Top-level variable k.
#
for (str k, v in $*) { # k and v are bound here, masking outer k.
print k . ":" . v; # k is explicitly str; v is implicitly var.
} #
#
print "k is".k; # k at this scope level is still "def".
print "v is".v; # v is undefined in this scope.
#
i = -1; #
for (i = 1, int j = 2; i &lt;= 10; i += 1, j *= 2) { # C-style triple-for variables use enclosing scope, unless
# declared local: i is outer, j is local to the loop.
print "inner i =" . i; #
print "inner j =" . j; #
} #
print "outer i =" . i; # i has been modified by the loop.
print "outer j =" . j; # j is undefined in this scope.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Out-of-stream_variables"/><h3>Out-of-stream variables</h3>
<p/> These are prefixed with an at-sign, e.g. <tt>@sum</tt>. Furthermore,
unlike built-in variables and stream-record fields, they are maintained in an
arbitrarily nested hashmap: you can do <tt>@sum += $quanity</tt>, or
<tt>@sum[$color] += $quanity</tt>, or <tt>@sum[$color][$shape] +=
$quanity</tt>. The keys for the multi-level hashmap can be any expression which
evaluates to string or integer: e.g. <tt>@sum[NR] = $a + $b</tt>,
<tt>@sum[$a."-".$b] = $x</tt>, etc.
<p/> Their names and their values are entirely under your control; they change
only when you assign to them.
<p/> Just as for field names in stream records, if you want to define out-of-stream variables
with <b>special characters</b> such as <tt>.</tt> then you can use braces, e.g. <tt>'@{variable.name}["index"]'</tt>.
<p/>You may use a <b>computed key </b> in square brackets, e.g.
<p/>
<div class="pokipanel">
<pre>
$ echo s=green,t=blue,a=3,b=4 | mlr put -q '@[$s."_".$t] = $a * $b; emit all'
green_blue=12
</pre>
</div>
<p/>
<p/> Out-of-stream variables are <b>scoped</b> to the <tt>put</tt> command in
which they appear. In particular, if you have two or more <tt>put</tt>
commands separated by <tt>then</tt>, each put will have its own set of
out-of-stream variables:
<p/>
<div class="pokipanel">
<pre>
$ cat data/a.dkvp
a=1,b=2,c=3
a=4,b=5,c=6
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '@sum += $a; end {emit @sum}' then put 'ispresent($a) {$a=10*$a; @sum += $a}; end {emit @sum}' data/a.dkvp
a=10,b=2,c=3
a=40,b=5,c=6
sum=5
sum=50
</pre>
</div>
<p/>
<p/> Out-of-stream variables are read-write: you can do <tt>$sum=@sum</tt>, <tt>@sum=$sum</tt>,
etc.
<!-- ================================================================ -->
<a id="Indexed_out-of-stream_variables"/><h3>Indexed out-of-stream variables</h3>
<p/>Using an index on the <tt>@count</tt> and <tt>@sum</tt> variables, we get the benefit of the
<tt>-g</tt> (group-by) option which <tt>mlr stats1</tt> and various other Miller commands have:
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '
@x_count[$a] += 1;
@x_sum[$a] += $x;
end {
emit @x_count, "a";
emit @x_sum, "a";
}
' ../data/small
a=pan,x_count=2
a=eks,x_count=3
a=wye,x_count=2
a=zee,x_count=2
a=hat,x_count=1
a=pan,x_sum=0.849416
a=eks,x_sum=1.751863
a=wye,x_sum=0.777892
a=zee,x_sum=1.125680
a=hat,x_sum=0.031442
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr stats1 -a count,sum -f x -g a ../data/small
a=pan,x_count=2,x_sum=0.849416
a=eks,x_count=3,x_sum=1.751863
a=wye,x_count=2,x_sum=0.777892
a=zee,x_count=2,x_sum=1.125680
a=hat,x_count=1,x_sum=0.031442
</pre>
</div>
<p/>
<p/>Indices can be arbitrarily deep &mdash; here there are two or more of them:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/medium put -q '
@x_count[$a][$b] += 1;
@x_sum[$a][$b] += $x;
end {
emit (@x_count, @x_sum), "a", "b";
}
'
a=pan,b=pan,x_count=427,x_sum=219.185129
a=pan,b=wye,x_count=395,x_sum=198.432931
a=pan,b=eks,x_count=429,x_sum=216.075228
a=pan,b=hat,x_count=417,x_sum=205.222776
a=pan,b=zee,x_count=413,x_sum=205.097518
a=eks,b=pan,x_count=371,x_sum=179.963030
a=eks,b=wye,x_count=407,x_sum=196.945286
a=eks,b=zee,x_count=357,x_sum=176.880365
a=eks,b=eks,x_count=413,x_sum=215.916097
a=eks,b=hat,x_count=417,x_sum=208.783171
a=wye,b=wye,x_count=377,x_sum=185.295850
a=wye,b=pan,x_count=392,x_sum=195.847900
a=wye,b=hat,x_count=426,x_sum=212.033183
a=wye,b=zee,x_count=385,x_sum=194.774048
a=wye,b=eks,x_count=386,x_sum=204.812961
a=zee,b=pan,x_count=389,x_sum=202.213804
a=zee,b=wye,x_count=455,x_sum=233.991394
a=zee,b=eks,x_count=391,x_sum=190.961778
a=zee,b=zee,x_count=403,x_sum=206.640635
a=zee,b=hat,x_count=409,x_sum=191.300006
a=hat,b=wye,x_count=423,x_sum=208.883010
a=hat,b=zee,x_count=385,x_sum=196.349450
a=hat,b=eks,x_count=389,x_sum=189.006793
a=hat,b=hat,x_count=381,x_sum=182.853532
a=hat,b=pan,x_count=363,x_sum=168.553807
</pre>
</div>
<p/>
The idea is that <tt>stats1</tt>, and other Miller commands, encapsulate
frequently-used patterns with a minimum of keystroking (and run a little
faster), whereas using out-of-stream variables you have more flexibility and
control in what you do.
<p/>Begin/end blocks can be mixed with pattern/action blocks. For example:
<p/>
<div class="pokipanel">
<pre>
$ mlr put '
begin {
@num_total = 0;
@num_positive = 0;
};
@num_total += 1;
$x &gt; 0.0 {
@num_positive += 1;
$y = log10($x); $z = sqrt($y)
};
end {
emitf @num_total, @num_positive
}
' data/put-gating-example-1.dkvp
x=-1
x=0
x=1,y=0.000000,z=0.000000
x=2,y=0.301030,z=0.548662
x=3,y=0.477121,z=0.690740
num_total=5,num_positive=3
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Aggregate_variable_assignments"/><h3>Aggregate variable assignments</h3>
<p/>There are three remaining kinds of variable assignment using out-of-stream
variables, the last two of which use the <tt>$*</tt> syntax:
<ul>
<li/> Recursive copy of out-of-stream variables
<li/> Out-of-stream variable assigned to full stream record
<li/> Full stream record assigned to an out-of-stream variable
</ul>
<p/> Example recursive copy of out-of-stream variables:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint put -q '@v["sum"] += $x; @v["count"] += 1; end{dump; @w = @v; dump}' data/small
{
"v": {
"sum": 2.264762,
"count": 5
}
}
{
"v": {
"sum": 2.264762,
"count": 5
},
"w": {
"sum": 2.264762,
"count": 5
}
}
</pre>
</div>
<p/>
<p/>Example of out-of-stream variable assigned to full stream record, where the 2nd record is stashed, and the 4th record is overwritten with that:
<p/>
<div class="pokipanel">
<pre>
$ mlr put 'NR == 2 {@keep = $*}; NR == 4 {$* = @keep}' data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>Example of full stream record assigned to an out-of-stream variable, finding
the record for which the <tt>x</tt> field has the largest value in the input
stream:
<p/>
<div class="pokipanel">
<pre>
$ cat data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint put -q 'isnull(@xmax) || $x &gt; @xmax {@xmax=$x; @recmax=$*}; end {emit @recmax}' data/small
a b i x y
eks pan 2 0.7586799647899636 0.5221511083334797
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Keywords_for_filter_and_put"/><h3>Keywords for filter and put</h3>
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-all-keywords
all: used in "emit", "emitp", and "unset" as a synonym for @*
begin: defines a block of statements to be executed before input records
are ingested. The body statements must be wrapped in curly braces.
Example: 'begin { @count = 0 }'
bool: declares a boolean local variable in the current curly-braced scope.
Type-checking happens at assignment: 'bool b = 1' is an error.
break: causes execution to continue after the body of the current
for/while/do-while loop.
call: used for invoking a user-defined subroutine.
Example: 'subr s(k,v) { print k . " is " . v} call s("a", $a)'
continue: causes execution to skip the remaining statements in the body of
the current for/while/do-while loop. For-loop increments are still applied.
do: with "while", introduces a do-while loop. The body statements must be wrapped
in curly braces.
dump: prints all currently defined out-of-stream variables immediately
to stdout as JSON.
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump }'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump &gt; "mytap.dat"}'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump &gt;&gt; "mytap.dat"}'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump | "jq .[]"}'
edump: prints all currently defined out-of-stream variables immediately
to stderr as JSON.
Example: mlr --from f.dat put -q '@v[NR]=$*; end { edump }'
elif: the way Miller spells "else if". The body statements must be wrapped
in curly braces.
else: terminates an if/elif/elif chain. The body statements must be wrapped
in curly braces.
emit: inserts an out-of-stream variable into the output record stream. Hashmap
indices present in the data but not slotted by emit arguments are not output.
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @sums'
Example: mlr --from f.dat put --ojson '@sums[$a][$b]+=$x; emit &gt; "tap-".$a.$b.".dat", @sums'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @sums, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit &gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit &gt;&gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit | "gzip &gt; mytap.dat.gz", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit &gt; stderr, @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit | "grep somepattern", @*, "index1", "index2"'
Please see http://johnkerl.org/miller/doc for more information.
emitf: inserts non-indexed out-of-stream variable(s) side-by-side into the
output record stream.
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf @a'
Example: mlr --from f.dat put --oxtab '@a=$i;@b+=$x;@c+=$y; emitf &gt; "tap-".$i.".dat", @a'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf &gt; "mytap.dat", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf &gt;&gt; "mytap.dat", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf &gt; stderr, @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf | "grep somepattern", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf | "grep somepattern &gt; mytap.dat", @a, @b, @c'
Please see http://johnkerl.org/miller/doc for more information.
emitp: inserts an out-of-stream variable into the output record stream.
Hashmap indices present in the data but not slotted by emitp arguments are
output concatenated with ":".
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @sums'
Example: mlr --from f.dat put --opprint '@sums[$a][$b]+=$x; emitp &gt; "tap-".$a.$b.".dat", @sums'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @sums, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp &gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp &gt;&gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp | "gzip &gt; mytap.dat.gz", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp &gt; stderr, @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp | "grep somepattern", @*, "index1", "index2"'
Please see http://johnkerl.org/miller/doc for more information.
end: defines a block of statements to be executed after input records
are ingested. The body statements must be wrapped in curly braces.
Example: 'end { emit @count }'
Example: 'end { eprint "Final count is " . @count }'
eprint: prints expression immediately to stderr.
Example: mlr --from f.dat put -q 'eprint "The sum of x and y is ".($x+$y)'
Example: mlr --from f.dat put -q 'for (k, v in $*) { eprint k . " =&gt; " . v }'
Example: mlr --from f.dat put '(NR % 1000 == 0) { eprint "Checkpoint ".NR}'
eprintn: prints expression immediately to stderr, without trailing newline.
Example: mlr --from f.dat put -q 'eprintn "The sum of x and y is ".($x+$y); eprint ""'
false: the boolean literal value.
filter: includes/excludes the record in the output record stream.
Example: mlr --from f.dat put 'filter (NR == 2 || $x &gt; 5.4)'
Instead of put with 'filter false' you can simply use put -q. The following
uses the input record to accumulate data but only prints the running sum
without printing the input record:
Example: mlr --from f.dat put -q '@running_sum += $x * $y; emit @running_sum'
float: declares a floating-point local variable in the current curly-braced scope.
Type-checking happens at assignment: 'float x = 0' is an error.
for: defines a for-loop using one of three styles. The body statements must
be wrapped in curly braces.
For-loop over stream record:
Example: 'for (k, v in $*) { ... }'
For-loop over out-of-stream variables:
Example: 'for (k, v in @counts) { ... }'
Example: 'for ((k1, k2), v in @counts) { ... }'
Example: 'for ((k1, k2, k3), v in @*) { ... }'
C-style for-loop:
Example: 'for (var i = 0, var b = 1; i &lt; 10; i += 1, b *= 2) { ... }'
func: used for defining a user-defined function.
Example: 'func f(a,b) { return sqrt(a**2+b**2)} $d = f($x, $y)'
if: starts an if/elif/elif chain. The body statements must be wrapped
in curly braces.
in: used in for-loops over stream records or out-of-stream variables.
int: declares an integer local variable in the current curly-braced scope.
Type-checking happens at assignment: 'int x = 0.0' is an error.
num: declares an int/float local variable in the current curly-braced scope.
Type-checking happens at assignment: 'num b = true' is an error.
print: prints expression immediately to stdout.
Example: mlr --from f.dat put -q 'print "The sum of x and y is ".($x+$y)'
Example: mlr --from f.dat put -q 'for (k, v in $*) { print k . " =&gt; " . v }'
Example: mlr --from f.dat put '(NR % 1000 == 0) { print &gt; stderr, "Checkpoint ".NR}'
printn: prints expression immediately to stdout, without trailing newline.
Example: mlr --from f.dat put -q 'printn "."; end { print "" }'
return: specifies the return value from a user-defined function.
Omitted return statements (including via if-branches) result in an absent-null
return value, which in turns results in a skipped assignment to an LHS.
stderr: Used for tee, emit, emitf, emitp, print, and dump in place of filename
to print to standard error.
stdout: Used for tee, emit, emitf, emitp, print, and dump in place of filename
to print to standard output.
str: declares a string local variable in the current curly-braced scope.
Type-checking happens at assignment.
subr: used for defining a subroutine.
Example: 'subr s(k,v) { print k . " is " . v} call s("a", $a)'
tee: prints the current record to specified file.
This is an immediate print to the specified file (except for pprint format
which of course waits until the end of the input stream to format all output).
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output. See also mlr -h.
Example: mlr --from f.dat put 'tee &gt; "/tmp/data-".$a, $*'
Example: mlr --from f.dat put 'tee &gt;&gt; "/tmp/data-".$a.$b, $*'
Example: mlr --from f.dat put 'tee &gt; stderr, $*'
Example: mlr --from f.dat put -q 'tee | "tr [a-z\] [A-Z\]", $*'
Example: mlr --from f.dat put -q 'tee | "tr [a-z\] [A-Z\] &gt; /tmp/data-".$a, $*'
Example: mlr --from f.dat put -q 'tee | "gzip &gt; /tmp/data-".$a.".gz", $*'
Example: mlr --from f.dat put -q --ojson 'tee | "gzip &gt; /tmp/data-".$a.".gz", $*'
true: the boolean literal value.
unset: clears field(s) from the current record, or an out-of-stream variable.
Example: mlr --from f.dat put 'unset $x'
Example: mlr --from f.dat put 'unset $*'
Example: mlr --from f.dat put 'for (k, v in $*) { if (k =~ "a.*") { unset $[k] } }'
Example: mlr --from f.dat put '...; unset @sums'
Example: mlr --from f.dat put '...; unset @sums["green"]'
Example: mlr --from f.dat put '...; unset @*'
var: declares an untyped local variable in the current curly-braced scope.
Examples: 'var a=1', 'var xyz=""'
while: introduces a while loop, or with "do", introduces a do-while loop.
The body statements must be wrapped in curly braces.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Control_structures"/><h2>Control structures</h2>
<!-- ================================================================ -->
<a id="Pattern-action_blocks"/><h3>Pattern-action blocks</h3>
<p/>These are reminiscent of <tt>awk</tt> syntax. They can be used to allow
assignments to be done only when appropriate &mdash; e.g. for math-function
domain restrictions, regex-matching, and so on:
<p/>
<div class="pokipanel">
<pre>
$ mlr cat data/put-gating-example-1.dkvp
x=-1
x=0
x=1
x=2
x=3
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$x &gt; 0.0 { $y = log10($x); $z = sqrt($y) }' data/put-gating-example-1.dkvp
x=-1
x=0
x=1,y=0.000000,z=0.000000
x=2,y=0.301030,z=0.548662
x=3,y=0.477121,z=0.690740
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr cat data/put-gating-example-2.dkvp
a=abc_123
a=some other name
a=xyz_789
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$a =~ "([a-z]+)_([0-9]+)" { $b = "left_\1"; $c = "right_\2" }' data/put-gating-example-2.dkvp
a=abc_123,b=left_abc,c=right_123
a=some other name
a=xyz_789,b=left_xyz,c=right_789
</pre>
</div>
<p/>
<p/>This produces heteregenous output which Miller, of course, has no problems
with (see <a href="record-heterogeneity.html">Record-heterogeneity</a>). But if you
want homogeneous output, the curly braces can be replaced with a semicolon
between the expression and the body statements. This causes <tt>put</tt> to
evaluate the boolean expression (along with any side effects, namely,
regex-captures <tt>\1</tt>, <tt>\2</tt>, etc.) but doesn&rsquo;t use it as a
criterion for whether subsequent assignments should be executed. Instead,
subsequent assignments are done unconditionally:
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$x &gt; 0.0; $y = log10($x); $z = sqrt($y)' data/put-gating-example-1.dkvp
x=-1,y=nan,z=nan
x=0,y=-inf,z=nan
x=1,y=0.000000,z=0.000000
x=2,y=0.301030,z=0.548662
x=3,y=0.477121,z=0.690740
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$a =~ "([a-z]+)_([0-9]+)"; $b = "left_\1"; $c = "right_\2"' data/put-gating-example-2.dkvp
a=abc_123,b=left_abc,c=right_123
a=some other name,b=left_,c=right_
a=xyz_789,b=left_xyz,c=right_789
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="If-statements"/><h3>If-statements</h3>
<p/>These are again reminiscent of <tt>awk</tt>. Pattern-action blocks are a special case of <tt>if</tt> with no
<tt>elif</tt> or <tt>else</tt> blocks, no <tt>if</tt> keyword, and parentheses optional around the boolean expression:
<p/>
<div class="pokipanel">
<pre>
mlr put 'NR == 4 {$foo = "bar"}'
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
mlr put 'if (NR == 4) {$foo = "bar"}'
</pre>
</div>
<p/>
<p/>Compound statements use <tt>elif</tt> (rather than <tt>elsif</tt> or <tt>else if</tt>):
<p/>
<div class="pokipanel">
<pre>
mlr put '
if (NR == 2) {
...
} elif (NR ==4) {
...
} elif (NR ==6) {
...
} else {
...
}
'
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="While_and_do-while_loops"/><h3>While and do-while loops</h3>
<p/>Miller&rsquo;s <tt>while</tt> and <tt>do-while</tt> are unsurprising in
comparison to various languages, as are <tt>break</tt> and <tt>continue</tt>:
<p/>
<div class="pokipanel">
<pre>
$ echo x=1,y=2 | mlr put '
while (NF &lt; 10) {
$[NF+1] = ""
}
$foo = "bar"
'
x=1,y=2,3=,4=,5=,6=,7=,8=,9=,10=,foo=bar
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo x=1,y=2 | mlr put '
do {
$[NF+1] = "";
if (NF == 5) {
break
}
} while (NF &lt; 10);
$foo = "bar"
'
x=1,y=2,3=,4=,5=,foo=bar
</pre>
</div>
<p/>
<p/> A <tt>break</tt> or <tt>continue</tt> within nested conditional blocks or
if-statements will, of course, propagate to the innermost loop enclosing them,
if any. A <tt>break</tt> or <tt>continue</tt> outside a loop is a syntax error
that will be flagged as soon as the expression is parsed, before any input
records are ingested.
<p/> The existence of <tt>while</tt>, <tt>do-while</tt>, and <tt>for</tt> loops
in Miller&rsquo;s DSL means that you can create infinite-loop scenarios
inadvertently. In particular, please recall that DSL statements are executed
once if in <tt>begin</tt> or <tt>end</tt> blocks, and once <i>per record</i>
otherwise. For example, <b><tt>while (NR < 10)</tt> will never terminate as
<tt>NR</tt> is only incremented between records</b>.
<!-- ================================================================ -->
<a id="For-loops"/><h3>For-loops</h3>
<p/>While Miller&rsquo;s <tt>while</tt> and <tt>do-while</tt> statements are
much as in many other languages, <tt>for</tt> loops are more idiosyncratic to
Miller. They are loops over key-value pairs, whether in stream records or
out-of-stream variables: more reminiscent of <tt>foreach</tt>, as in (for
example) PHP.
<p/> There are three variants: <b>for-loop over key-value pairs in the current
stream record</b>, <b>for-loop over key-value pairs in an out-of-stream
variable</b>, and <b>C-style triple-for loops</b>. In each of the first two
cases the <tt>in</tt> keyword specifies the hashmap being iterated over, and
the variable names between <tt>for</tt> and <tt>in</tt> are bound to the keys
and values, respectively, of the hashmap&rsquo;s key-value pairs on each loop
iteration. As with <tt>while</tt> and <tt>do-while</tt>, a <tt>break</tt> or
<tt>continue</tt> within nested control structures will propagate to the
innermost loop enclosing them, if any, and a <tt>break</tt> or
<tt>continue</tt> outside a loop is a syntax error that will be flagged as soon
as the expression is parsed, before any input records are ingested.
<p/><b>For-loop over the current stream record</b>:
<p/>
<div class="pokipanel">
<pre>
$ cat data/for-srec-example.tbl
label1 label2 f1 f2 f3
blue green 100 240 350
red green 120 11 195
yellow blue 140 0 240
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --pprint --from data/for-srec-example.tbl put '
$sum1 = $f1 + $f2 + $f3;
$sum2 = 0;
$sum3 = 0;
for (key, value in $*) {
if (key =~ "^f[0-9]+") {
$sum2 += value;
$sum3 += $[key];
}
}
'
label1 label2 f1 f2 f3 sum1 sum2 sum3
blue green 100 240 350 690 690 690
red green 120 11 195 326 326 326
yellow blue 140 0 240 380 380 380
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put 'for (k,v in $*) { $[k."_type"] = typeof(v) }'
a b i x y a_type b_type i_type x_type y_type
pan pan 1 0.3467901443380824 0.7268028627434533 string string int float float
eks pan 2 0.7586799647899636 0.5221511083334797 string string int float float
wye wye 3 0.20460330576630303 0.33831852551664776 string string int float float
eks wye 4 0.38139939387114097 0.13418874328430463 string string int float float
wye pan 5 0.5732889198020006 0.8636244699032729 string string int float float
</pre>
</div>
<p/>
<p/>Note that the value of the current field in the for-loop can be gotten either using the bound
variable <tt>value</tt>, or through a <b>computed field name</b> using square brackets as in <tt>$[key]</tt>.
<p/>Important note: to avoid inconsistent looping behavior in case you&rsquo;re
setting new fields (and/or unsetting existing ones) while looping over the
record, <b>Miller makes a copy of the record before the loop: loop variables
are bound from the copy and all other reads/writes involve the record
itself</b>:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put '
$sum1 = 0;
$sum2 = 0;
for (k,v in $*) {
if (isnumeric(v)) {
$sum1 +=v;
$sum2 += $[k];
}
}
'
a b i x y sum1 sum2
pan pan 1 0.3467901443380824 0.7268028627434533 2.073593 8.294372
eks pan 2 0.7586799647899636 0.5221511083334797 3.280831 13.123324
wye wye 3 0.20460330576630303 0.33831852551664776 3.542922 14.171687
eks wye 4 0.38139939387114097 0.13418874328430463 4.515588 18.062353
wye pan 5 0.5732889198020006 0.8636244699032729 6.436913 25.747654
</pre>
</div>
<p/>
It can be confusing to modify the stream record while iterating over a copy of it, so
instead you might find it simpler to use an out-of-stream variable in the loop and only update
the stream record after the loop:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put '
@sum = 0;
for (k,v in $*) {
if (isnumeric(v)) {
@sum += $[k];
}
}
$sum = @sum
'
a b i x y sum
pan pan 1 0.3467901443380824 0.7268028627434533 2.073593
eks pan 2 0.7586799647899636 0.5221511083334797 3.280831
wye wye 3 0.20460330576630303 0.33831852551664776 3.542922
eks wye 4 0.38139939387114097 0.13418874328430463 4.515588
wye pan 5 0.5732889198020006 0.8636244699032729 6.436913
</pre>
</div>
<p/>
<p/><b>For-loop over out-of-stream variable</b>: This is similar to looping
over the current stream record except for additional degrees of freedom: you
can start iterating on sub-hashmaps of an out-of-stream variable; you can loop
over nested keys; you can loop over all out-of-stream variables. As with
for-loops over stream records, the bound variables are bound to a copy of the
sub-hashmap as it was before the loop started. The sub-hashmap is specified by
square-bracketed indices after <tt>in</tt>, and additional deeper indices are
bound to loop key-variables. The terminal values are bound to the loop
value-variable whenever the keys are neither too shallow, nor too deep. Example
indexing is as follows:
<p/>
<div class="pokipanel">
<pre>
# Parentheses are optional for single key:
for (k1, v in @a["b"]["c"]) { ... }
for ((k1), v in @a["b"]["c"]) { ... }
# Parentheses are required for multiple keys:
for ((k1, k2), v in @a["b"]["c"]) { ... } # Loop over subhashmap of a variable
for ((k1, k2, k3), v in @a["b"]["c"]) { ... } # Ditto
for ((k1, k2, k3), v in @a { ... } # Loop over variable starting from basename
for ((k1, k2, k3), v in @* { ... } # Loop over all variables (k1 is bound to basename)
</pre>
</div>
<p/>
<p/>That&rsquo;s confusing in the abstract, so a concrete example is in order.
Suppose the out-of-stream variable <tt>@myvar</tt> is populated as follows:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/small head -n 2 then put -q '
begin {
@myvar["nesting-is-too-shallow"] = 1;
@myvar["nesting-is"]["just-right"] = 2;
@myvar["nesting-is"]["also-just-right"] = 3;
@myvar["nesting"]["is"]["too-deep"] = 4;
}
end {
dump
}
'
{
"myvar": {
"nesting-is-too-shallow": 1,
"nesting-is": {
"just-right": 2,
"also-just-right": 3
},
"nesting": {
"is": {
"too-deep": 4
}
}
}
}
</pre>
</div>
<p/>
<p/> Then the too-shallow parts &mdash; indexed by the basename <tt>myvar</tt>
and the index <tt>"nesting-is-too-shallow"</tt> &mdash; have depth two
(basename and one index specify a terminal value) and can be gotten as follows:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small head -n 2 then put -q '
begin {
@myvar["nesting-is-too-shallow"] = 1;
@myvar["nesting-is"]["just-right"] = 2;
@myvar["nesting-is"]["also-just-right"] = 3;
@myvar["nesting"]["is"]["too-deep"] = 4;
}
end {
for (k, v in @myvar) {
@terminal[k] = v
}
emit @terminal, "index1"
}
'
index1=nesting-is-too-shallow,terminal=1
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small head -n 2 then put -q '
begin {
@myvar["nesting-is-too-shallow"] = 1;
@myvar["nesting-is"]["just-right"] = 2;
@myvar["nesting-is"]["also-just-right"] = 3;
@myvar["nesting"]["is"]["too-deep"] = 4;
}
end {
for ((k1, k2), v in @*) {
@terminal[k1][k2] = v
}
emit @terminal, "basename", "index1"
}
'
basename=myvar,index1=nesting-is-too-shallow,terminal=1
</pre>
</div>
<p/>
<p/>Note that it would take more than these two indices to reach the deeper values in the hashmap so they
aren&rsquo;t bound in either of these for-loops.
<p/>By contrast, the <tt>"just-right"</tt> parts have depth three (basename and
two indices specify a terminal value) and can be gotten at by any of the
following:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small head -n 2 then put -q '
begin {
@myvar["nesting-is-too-shallow"] = 1;
@myvar["nesting-is"]["just-right"] = 2;
@myvar["nesting-is"]["also-just-right"] = 3;
@myvar["nesting"]["is"]["too-deep"] = 4;
}
end {
for ((k1), v in @myvar["nesting-is"]) {
@terminal[k1] = v
}
emit @terminal, "index1"
}
'
index1=just-right,terminal=2
index1=also-just-right,terminal=3
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small head -n 2 then put -q '
begin {
@myvar["nesting-is-too-shallow"] = 1;
@myvar["nesting-is"]["just-right"] = 2;
@myvar["nesting-is"]["also-just-right"] = 3;
@myvar["nesting"]["is"]["too-deep"] = 4;
}
end {
for ((k1, k2), v in @myvar) {
@terminal[k1][k2] = v
}
emit @terminal, "index1", "index2"
}
'
index1=nesting-is,index2=just-right,terminal=2
index1=nesting-is,index2=also-just-right,terminal=3
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small head -n 2 then put -q '
begin {
@myvar["nesting-is-too-shallow"] = 1;
@myvar["nesting-is"]["just-right"] = 2;
@myvar["nesting-is"]["also-just-right"] = 3;
@myvar["nesting"]["is"]["too-deep"] = 4;
}
end {
for ((k1, k2, k3), v in @*) {
@terminal[k1][k2][k3] = v
}
emit @terminal, "basename", "index1", "index2"
}
'
basename=myvar,index1=nesting-is,index2=just-right,terminal=2
basename=myvar,index1=nesting-is,index2=also-just-right,terminal=3
</pre>
</div>
<p/>
<p/> Note that three key levels are specified here: basename and two indices.
So these for-loops don&rsquo;t produce the depth-two or depth-four entries in
the hashmap.
<p/><b>C-style triple-for loops</b> are supported as follows:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put '
num suma = 0;
num sumb = 0;
for (num a = 1, num b = 1; a &lt;= NR; a += 1, b *= 2) {
suma += a;
sumb += b;
}
$suma = suma;
$sumb = sumb;
'
a b i x y suma sumb
pan pan 1 0.3467901443380824 0.7268028627434533 1 1
eks pan 2 0.7586799647899636 0.5221511083334797 3 3
wye wye 3 0.20460330576630303 0.33831852551664776 6 7
eks wye 4 0.38139939387114097 0.13418874328430463 10 15
wye pan 5 0.5732889198020006 0.8636244699032729 15 31
</pre>
</div>
<p/>
Notes:
<ul>
<li/> In <tt>for (start; continuation; update) { body }</tt>, the start,
continuation, and update statements may be empty, single statements, or
multiple comma-separated statements. If the continuation is empty it defaults
to true.
<li/> In particular, you may use <tt>$</tt>-variables and/or
<tt>@</tt>-variables in the start, continuation, and/or update steps (as well
as the body, of course).
<li/> As with all for/if/while statements in Miller, the curly braces are
required even if the body is a single statement, or empty.
</ul>
<!-- ================================================================ -->
<a id="Begin/end_blocks"/><h3>Begin/end blocks</h3>
<p/>Miller supports an <tt>awk</tt>-like <tt>begin/end</tt> syntax. The
statements in the <tt>begin</tt> block are executed before any input records
are read; the statements in the <tt>end</tt> block are executed after the last
input record is read. (If you want to execute some statement at the start of
each file, not at the start of the first file as with <tt>begin</tt>, you might
use a pattern/action block of the form <tt>FNR == 1 { ... }</tt>.) All
statements outside of <tt>begin</tt> or <tt>end</tt> are, of course, executed
on every input record. Semicolons separate statements inside or outside of
begin/end blocks; semicolons are required between begin/end block bodies and
any subsequent statement. For example:
<p/>
<div class="pokipanel">
<pre>
$ mlr put '
begin { @sum = 0 };
@x_sum += $x;
end { emit @x_sum }
' ../data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
a=zee,b=pan,i=6,x=0.5271261600918548,y=0.49322128674835697
a=eks,b=zee,i=7,x=0.6117840605678454,y=0.1878849191181694
a=zee,b=wye,i=8,x=0.5985540091064224,y=0.976181385699006
a=hat,b=wye,i=9,x=0.03144187646093577,y=0.7495507603507059
a=pan,b=wye,i=10,x=0.5026260055412137,y=0.9526183602969864
x_sum=4.536294
</pre>
</div>
<p/>
<p/>Since uninitialized out-of-stream variables default to 0 for
addition/substraction and 1 for multiplication when they appear on expression
right-hand sides (as in <tt>awk</tt>), the above can be written more succinctly
as
<p/>
<div class="pokipanel">
<pre>
$ mlr put '
@x_sum += $x;
end { emit @x_sum }
' ../data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
a=zee,b=pan,i=6,x=0.5271261600918548,y=0.49322128674835697
a=eks,b=zee,i=7,x=0.6117840605678454,y=0.1878849191181694
a=zee,b=wye,i=8,x=0.5985540091064224,y=0.976181385699006
a=hat,b=wye,i=9,x=0.03144187646093577,y=0.7495507603507059
a=pan,b=wye,i=10,x=0.5026260055412137,y=0.9526183602969864
x_sum=4.536294
</pre>
</div>
<p/>
<p/>The <b>put -q</b> option is a shorthand which suppresses printing of each
output record, with only <tt>emit</tt> statements being output. So to get only
summary outputs, one could write
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '
@x_sum += $x;
end { emit @x_sum }
' ../data/small
x_sum=4.536294
</pre>
</div>
<p/>
<p/>We can do similarly with multiple out-of-stream variables:
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '
@x_count += 1;
@x_sum += $x;
end {
emit @x_count;
emit @x_sum;
}
' ../data/small
x_count=10
x_sum=4.536294
</pre>
</div>
<p/>
This is of course not much different than
<p/>
<div class="pokipanel">
<pre>
$ mlr stats1 -a count,sum -f x ../data/small
x_count=10,x_sum=4.536294
</pre>
</div>
<p/>
<p/>Note that it&rsquo;s a syntax error for begin/end blocks to refer to field
names (beginning with <tt>$</tt>), since these execute outside the context of
input records.
<!-- ================================================================ -->
<a id="Output_statements"/><h2>Output statements</h2>
<p/>You can <b>output</b> variable-values or expressions in <b>five ways</b>:
<ul>
<li/> <b>Assign</b> them to stream-record fields. For example,
<tt>$cumulative_sum = @sum</tt>. For another example, <tt>$nr = NR</tt> adds a
field named <tt>nr</tt> to each output record, containing the value of the
built-in variable <tt>NR</tt> as of when that record was ingested.
<li/> Use <b>emit</b>/<b>emitp</b>/<b>emitf</b> to send out-of-stream
variables&rsquo; current values to the output record stream, e.g. <tt>@sum +=
$x; emit @sum</tt> which produces an extra output record such as
<tt>sum=3.1648382</tt>.
<li/> Use the <b>dump</b> or <b>edump</b> keywords, which immediately print all
out-of-stream variables as a JSON data structure to the standard output or
standard error (respectively).
<li/> Use the <b>print</b> or <b>eprint</b> keywords which immediately print an
expression to standard output or standard error, respectively. Note that
<tt>dump</tt>, <tt>edump</tt>, <tt>print</tt>, and <tt>eprint</tt> don&rsquo;t
output records which participate in <tt>then</tt>-chaining; rather,
they&rsquo;re just immediate prints to stdout/stderr. The <tt>printn</tt> and
<tt>eprintn</tt> keywords are the same except that they don&rsquo;t print final
newlines. Additionally, you can print to a specified file instead of stdout/stderr.
<li/> Use <b>tee</b> which formats the current stream record (not just an
arbitrary string as with <b>print</b>) to a specific file.
</ul>
<p/>For the first two options you are populating the output-records stream
which feeds into the next verb in a <tt>then</tt>-chain (if any), or which otherwise
is formatted for output using <tt>--o...</tt> flags.
<p/>For the last three options you are sending output directly to standard
output, standard error, or a file.
<!-- ================================================================ -->
<a id="Emit_statements"/><h3>Emit statements</h3>
<p/>There are three variants: <tt>emitf</tt>, <tt>emit</tt>, and
<tt>emitp</tt>. Keep in mind that out-of-stream variables are a nested,
multi-level hashmap (directly viewable as JSON using <tt>dump</tt>), whereas
Miller output records are lists of single-level key-value pairs. The three emit
variants allow you to control how the multilevel hashmaps are flatten down to
output records.
<p/>Use <b>emitf</b> to output several out-of-stream variables side-by-side in the same output record.
For <tt>emitf</tt> these mustn&rsquo;t have indexing using <tt>@name[...]</tt>. Example:
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@count += 1; @x_sum += $x; @y_sum += $y; end { emitf @count, @x_sum, @y_sum}' data/small
count=5,x_sum=2.264762,y_sum=2.585086
</pre>
</div>
<p/>
<p/>Use <b>emit</b> to output an out-of-stream variable. If it&rsquo;s non-indexed you&rsquo;ll get a simple key-value pair:
<p/>
<div class="pokipanel">
<pre>
$ cat data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum += $x; end { dump }' data/small
{
"sum": 2.264762
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum += $x; end { emit @sum }' data/small
sum=2.264762
</pre>
</div>
<p/>
<p/>If it&rsquo;s indexed then use as many names after <tt>emit</tt> as there are indices:
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a] += $x; end { dump }' data/small
{
"sum": {
"pan": 0.346790,
"eks": 1.140079,
"wye": 0.777892
}
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a] += $x; end { emit @sum, "a" }' data/small
a=pan,sum=0.346790
a=eks,sum=1.140079
a=wye,sum=0.777892
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { dump }' data/small
{
"sum": {
"pan": {
"pan": 0.346790
},
"eks": {
"pan": 0.758680,
"wye": 0.381399
},
"wye": {
"wye": 0.204603,
"pan": 0.573289
}
}
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { emit @sum, "a", "b" }' data/small
a=pan,b=pan,sum=0.346790
a=eks,b=pan,sum=0.758680
a=eks,b=wye,sum=0.381399
a=wye,b=wye,sum=0.204603
a=wye,b=pan,sum=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b][$i] += $x; end { dump }' data/small
{
"sum": {
"pan": {
"pan": {
"1": 0.346790
}
},
"eks": {
"pan": {
"2": 0.758680
},
"wye": {
"4": 0.381399
}
},
"wye": {
"wye": {
"3": 0.204603
},
"pan": {
"5": 0.573289
}
}
}
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b][$i] += $x; end { emit @sum, "a", "b", "i" }' data/small
a=pan,b=pan,i=1,sum=0.346790
a=eks,b=pan,i=2,sum=0.758680
a=eks,b=wye,i=4,sum=0.381399
a=wye,b=wye,i=3,sum=0.204603
a=wye,b=pan,i=5,sum=0.573289
</pre>
</div>
<p/>
<p/>Now for <b>emitp</b>: if you have as many names following <tt>emit</tt> as
there are levels in the out-of-stream variable&rsquo;s hashmap, then <tt>emit</tt> and <tt>emitp</tt> do the same
thing. Where they differ is when you don&rsquo;t specify as many names as there are hashmap levels. In this
case, Miller needs to flatten multiple map indices down to output-record keys: <tt>emitp</tt> includes full
prefixing (hence the <tt>p</tt> in <tt>emitp</tt>) while <tt>emit</tt> takes the deepest hashmap key as the
output-record key:
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { dump }' data/small
{
"sum": {
"pan": {
"pan": 0.346790
},
"eks": {
"pan": 0.758680,
"wye": 0.381399
},
"wye": {
"wye": 0.204603,
"pan": 0.573289
}
}
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { emit @sum, "a" }' data/small
a=pan,pan=0.346790
a=eks,pan=0.758680,wye=0.381399
a=wye,wye=0.204603,pan=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { emit @sum }' data/small
pan=0.346790
pan=0.758680,wye=0.381399
wye=0.204603,pan=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { emitp @sum, "a" }' data/small
a=pan,sum:pan=0.346790
a=eks,sum:pan=0.758680,sum:wye=0.381399
a=wye,sum:wye=0.204603,sum:pan=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { emitp @sum }' data/small
sum:pan:pan=0.346790,sum:eks:pan=0.758680,sum:eks:wye=0.381399,sum:wye:wye=0.204603,sum:wye:pan=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --oxtab put -q '@sum[$a][$b] += $x; end { emitp @sum }' data/small
sum:pan:pan 0.346790
sum:eks:pan 0.758680
sum:eks:wye 0.381399
sum:wye:wye 0.204603
sum:wye:pan 0.573289
</pre>
</div>
<p/>
<p/>Use <b>--oflatsep</b> to specify the character which joins multilevel
keys for <tt>emitp</tt> (it defaults to a colon):
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q --oflatsep / '@sum[$a][$b] += $x; end { emitp @sum, "a" }' data/small
a=pan,sum/pan=0.346790
a=eks,sum/pan=0.758680,sum/wye=0.381399
a=wye,sum/wye=0.204603,sum/pan=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q --oflatsep / '@sum[$a][$b] += $x; end { emitp @sum }' data/small
sum/pan/pan=0.346790,sum/eks/pan=0.758680,sum/eks/wye=0.381399,sum/wye/wye=0.204603,sum/wye/pan=0.573289
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --oxtab put -q --oflatsep / '@sum[$a][$b] += $x; end { emitp @sum }' data/small
sum/pan/pan 0.346790
sum/eks/pan 0.758680
sum/eks/wye 0.381399
sum/wye/wye 0.204603
sum/wye/pan 0.573289
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Multi-emit_statements"/><h3>Multi-emit statements</h3>
<p/>You can emit <b>multiple out-of-stream variables side-by-side</b> by including their names in parentheses:
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/medium --opprint put -q '
@x_count[$a][$b] += 1;
@x_sum[$a][$b] += $x;
end {
for ((a, b), _ in @x_count) {
@x_mean[a][b] = @x_sum[a][b] / @x_count[a][b]
}
emit (@x_sum, @x_count, @x_mean), "a", "b"
}
'
a b x_sum x_count x_mean
pan pan 219.185129 427 0.513314
pan wye 198.432931 395 0.502362
pan eks 216.075228 429 0.503672
pan hat 205.222776 417 0.492141
pan zee 205.097518 413 0.496604
eks pan 179.963030 371 0.485076
eks wye 196.945286 407 0.483895
eks zee 176.880365 357 0.495463
eks eks 215.916097 413 0.522799
eks hat 208.783171 417 0.500679
wye wye 185.295850 377 0.491501
wye pan 195.847900 392 0.499612
wye hat 212.033183 426 0.497730
wye zee 194.774048 385 0.505907
wye eks 204.812961 386 0.530604
zee pan 202.213804 389 0.519830
zee wye 233.991394 455 0.514267
zee eks 190.961778 391 0.488393
zee zee 206.640635 403 0.512756
zee hat 191.300006 409 0.467726
hat wye 208.883010 423 0.493813
hat zee 196.349450 385 0.509999
hat eks 189.006793 389 0.485879
hat hat 182.853532 381 0.479931
hat pan 168.553807 363 0.464336
</pre>
</div>
<p/>
What this does is walk through the first out-of-stream variable
(<tt>@x_sum</tt> in this example) as usual, then for each keylist found (e.g.
<tt>pan,wye</tt>), include the values for the remaining out-of-stream variables
(here, <tt>@x_count</tt> and <tt>@x_mean</tt>). You should use this when all
out-of-stream variables in the emit statement have the same shape and the same
keylists.
<!-- ================================================================ -->
<a id="Emit-all_statements"/><h3>Emit-all statements</h3>
<p/>Use <b>emit all</b> (or <tt>emit @*</tt> which is synonumous) to output all
out-of-stream variables. You can use the following idiom to get various
accumulators output side-by-side (reminiscent of <tt>mlr stats1</tt>):
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put -q '@v[$a][$b]["sum"] += $x; @v[$a][$b]["count"] += 1; end{emit @*,"a","b"}'
a b sum count
pan pan 0.346790 1
eks pan 0.758680 1
eks wye 0.381399 1
wye wye 0.204603 1
wye pan 0.573289 1
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put -q '@sum[$a][$b] += $x; @count[$a][$b] += 1; end{emit @*,"a","b"}'
a b sum
pan pan 0.346790
eks pan 0.758680
eks wye 0.381399
wye wye 0.204603
wye pan 0.573289
a b count
pan pan 1
eks pan 1
eks wye 1
wye wye 1
wye pan 1
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --from data/small --opprint put -q '@sum[$a][$b] += $x; @count[$a][$b] += 1; end{emit (@sum, @count),"a","b"}'
a b sum count
pan pan 0.346790 1
eks pan 0.758680 1
eks wye 0.381399 1
wye wye 0.204603 1
wye pan 0.573289 1
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Redirected-output_statements"/><h3>Redirected-output statements</h3>
The <b>tee</b>, <b>emitf</b>, <b>emitp</b>, <b>emit</b>, <b>print</b>, and
<b>dump</b> keywords all allow you to redirect output to one or more files or
pipe-to commands. The filenames/commands are strings which can be constructed
using record-dependent values, so you can do things like splitting a table into
multiple files, one for each account ID, and so on.
<p/> Details:
<ul>
<li/> <tt>mlr put</tt> sends the current record (possibly modified by the
<tt>put</tt> expression) to the output record stream. Records are then input to
the following verb in a <tt>then</tt>-chain (if any), else printed to standard
output (unless <tt>put -q</tt>). The <b>tee</b> keyword <i>additionally</i>
writes the output record to specified file(s) or pipe-to command, or
immediately to <tt>stdout</tt>/<tt>stderr</tt>.
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-keyword tee
tee: prints the current record to specified file.
This is an immediate print to the specified file (except for pprint format
which of course waits until the end of the input stream to format all output).
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output. See also mlr -h.
Example: mlr --from f.dat put 'tee &gt; "/tmp/data-".$a, $*'
Example: mlr --from f.dat put 'tee &gt;&gt; "/tmp/data-".$a.$b, $*'
Example: mlr --from f.dat put 'tee &gt; stderr, $*'
Example: mlr --from f.dat put -q 'tee | "tr [a-z\] [A-Z\]", $*'
Example: mlr --from f.dat put -q 'tee | "tr [a-z\] [A-Z\] &gt; /tmp/data-".$a, $*'
Example: mlr --from f.dat put -q 'tee | "gzip &gt; /tmp/data-".$a.".gz", $*'
Example: mlr --from f.dat put -q --ojson 'tee | "gzip &gt; /tmp/data-".$a.".gz", $*'
</pre>
</div>
<p/>
<li/> <tt>mlr put</tt>&rsquo;s <tt>emitf</tt>, <tt>emitp</tt>, and
<tt>emit</tt> send out-of-stream variables to the output record stream. These
are then input to the following verb in a <tt>then</tt>-chain (if any), else
printed to standard output. When redirected with <tt>&gt;</tt>,
<tt>&gt;&gt;</tt>, or <tt>|</tt>, they <i>instead</i> write the out-of-stream
variable(s) to specified file(s) or pipe-to command, or immediately to
<tt>stdout</tt>/<tt>stderr</tt>.
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-keyword emitf
emitf: inserts non-indexed out-of-stream variable(s) side-by-side into the
output record stream.
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf @a'
Example: mlr --from f.dat put --oxtab '@a=$i;@b+=$x;@c+=$y; emitf &gt; "tap-".$i.".dat", @a'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf &gt; "mytap.dat", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf &gt;&gt; "mytap.dat", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf &gt; stderr, @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf | "grep somepattern", @a, @b, @c'
Example: mlr --from f.dat put '@a=$i;@b+=$x;@c+=$y; emitf | "grep somepattern &gt; mytap.dat", @a, @b, @c'
Please see http://johnkerl.org/miller/doc for more information.
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-keyword emitp
emitp: inserts an out-of-stream variable into the output record stream.
Hashmap indices present in the data but not slotted by emitp arguments are
output concatenated with ":".
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @sums'
Example: mlr --from f.dat put --opprint '@sums[$a][$b]+=$x; emitp &gt; "tap-".$a.$b.".dat", @sums'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @sums, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp &gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp &gt;&gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp | "gzip &gt; mytap.dat.gz", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp &gt; stderr, @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emitp | "grep somepattern", @*, "index1", "index2"'
Please see http://johnkerl.org/miller/doc for more information.
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-keyword emit
emit: inserts an out-of-stream variable into the output record stream. Hashmap
indices present in the data but not slotted by emit arguments are not output.
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
You can use any of the output-format command-line flags, e.g. --ocsv, --ofs,
etc., to control the format of the output if the output is redirected. See also mlr -h.
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @sums'
Example: mlr --from f.dat put --ojson '@sums[$a][$b]+=$x; emit &gt; "tap-".$a.$b.".dat", @sums'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @sums, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit &gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit &gt;&gt; "mytap.dat", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit | "gzip &gt; mytap.dat.gz", @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit &gt; stderr, @*, "index1", "index2"'
Example: mlr --from f.dat put '@sums[$a][$b]+=$x; emit | "grep somepattern", @*, "index1", "index2"'
Please see http://johnkerl.org/miller/doc for more information.
</pre>
</div>
<p/>
<li/> The <tt>print</tt> and <tt>dump</tt> keywords produce output immediately
to standard output, or to specified file(s) or pipe-to command if present.
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-keyword print
print: prints expression immediately to stdout.
Example: mlr --from f.dat put -q 'print "The sum of x and y is ".($x+$y)'
Example: mlr --from f.dat put -q 'for (k, v in $*) { print k . " =&gt; " . v }'
Example: mlr --from f.dat put '(NR % 1000 == 0) { print &gt; stderr, "Checkpoint ".NR}'
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-keyword dump
dump: prints all currently defined out-of-stream variables immediately
to stdout as JSON.
With &gt;, &gt;&gt;, or |, the data do not become part of the output record stream but
are instead redirected.
The &gt; and &gt;&gt; are for write and append, as in the shell, but (as with awk) the
file-overwrite for &gt; is on first write, not per record. The | is for piping to
a process which will process the data. There will be one open file for each
distinct file name (for &gt; and &gt;&gt;) or one subordinate process for each distinct
value of the piped-to command (for |). Output-formatting flags are taken from
the main command line.
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump }'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump &gt; "mytap.dat"}'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump &gt;&gt; "mytap.dat"}'
Example: mlr --from f.dat put -q '@v[NR]=$*; end { dump | "jq .[]"}'
</pre>
</div>
<p/>
</ul>
<!-- ================================================================ -->
<a id="Unset_statements"/><h2>Unset statements</h2>
<p/>You can clear a map key by assigning the empty string as its value: <tt>$x=""</tt> or <tt>@x=""</tt>.
Using <tt>unset</tt> you can remove the key entirely. Examples:
<p/>
<div class="pokipanel">
<pre>
$ cat data/small
a=pan,b=pan,i=1,x=0.3467901443380824,y=0.7268028627434533
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put 'unset $x, $a' data/small
b=pan,i=1,y=0.7268028627434533
b=pan,i=2,y=0.5221511083334797
b=wye,i=3,y=0.33831852551664776
b=wye,i=4,y=0.13418874328430463
b=pan,i=5,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>This can also be done, of course, using <tt>mlr cut -x</tt>. You can also clear out-of-stream variables, at the base name level, or at an indexed sublevel:
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { dump; unset @sum; dump }' data/small
{
"sum": {
"pan": {
"pan": 0.346790
},
"eks": {
"pan": 0.758680,
"wye": 0.381399
},
"wye": {
"wye": 0.204603,
"pan": 0.573289
}
}
}
{
}
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put -q '@sum[$a][$b] += $x; end { dump; unset @sum["eks"]; dump }' data/small
{
"sum": {
"pan": {
"pan": 0.346790
},
"eks": {
"pan": 0.758680,
"wye": 0.381399
},
"wye": {
"wye": 0.204603,
"pan": 0.573289
}
}
}
{
"sum": {
"pan": {
"pan": 0.346790
},
"wye": {
"wye": 0.204603,
"pan": 0.573289
}
}
}
</pre>
</div>
<p/>
<p/>If you use <tt>unset all</tt> (or <tt>unset @*</tt> which is synonymous), that will unset all out-of-stream
variables which have been defined up to that point.
<!-- ================================================================ -->
<a id="Filter_statements"/><h2>Filter statements</h2>
<p/> You can use <tt>filter</tt> within <tt>put</tt>. In fact, the
following two are synonymous:
<p/>
<div class="pokipanel">
<pre>
$ mlr filter 'NR==2 || NR==3' data/small
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put 'filter NR==2 || NR==3' data/small
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
</pre>
</div>
<p/>
<p/>The former, of course, is much easier to type. But the latter allows you to define more complex expressions
for the filter, and/or do other things in addition to the filter:
<p/>
<div class="pokipanel">
<pre>
$ mlr put '@running_sum += $x; filter @running_sum &gt; 1.3' data/small
a=wye,b=wye,i=3,x=0.20460330576630303,y=0.33831852551664776
a=eks,b=wye,i=4,x=0.38139939387114097,y=0.13418874328430463
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$z = $x * $y; filter $z &gt; 0.3' data/small
a=eks,b=pan,i=2,x=0.7586799647899636,y=0.5221511083334797,z=0.396146
a=wye,b=pan,i=5,x=0.5732889198020006,y=0.8636244699032729,z=0.495106
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Built-in_functions_for_filter_and_put"/><h2>Built-in functions for filter and put</h2>
<p/>Each function takes a specific number of arguments, as shown below, except
for functions marked as variadic such as <tt>min</tt> and <tt>max</tt>. (The
latter compute min and max of any number of numerical arguments.) There is no
notion of optional or default-on-absent arguments. All argument-passing is
positional rather than by name; arguments are passed by value, not by
reference.
<p/>
<div class="pokipanel">
<pre>
$ mlr --help-all-functions
+ (class=arithmetic #args=2): Addition.
+ (class=arithmetic #args=1): Unary plus.
- (class=arithmetic #args=2): Subtraction.
- (class=arithmetic #args=1): Unary minus.
* (class=arithmetic #args=2): Multiplication.
/ (class=arithmetic #args=2): Division.
// (class=arithmetic #args=2): Integer division: rounds to negative (pythonic).
% (class=arithmetic #args=2): Remainder; never negative-valued (pythonic).
** (class=arithmetic #args=2): Exponentiation; same as pow, but as an infix
operator.
| (class=arithmetic #args=2): Bitwise OR.
^ (class=arithmetic #args=2): Bitwise XOR.
&amp; (class=arithmetic #args=2): Bitwise AND.
~ (class=arithmetic #args=1): Bitwise NOT. Beware '$y=~$x' since =~ is the
regex-match operator: try '$y = ~$x'.
&lt;&lt; (class=arithmetic #args=2): Bitwise left-shift.
&gt;&gt; (class=arithmetic #args=2): Bitwise right-shift.
== (class=boolean #args=2): String/numeric equality. Mixing number and string
results in string compare.
!= (class=boolean #args=2): String/numeric inequality. Mixing number and string
results in string compare.
=~ (class=boolean #args=2): String (left-hand side) matches regex (right-hand
side), e.g. '$name =~ "^a.*b$"'.
!=~ (class=boolean #args=2): String (left-hand side) does not match regex
(right-hand side), e.g. '$name !=~ "^a.*b$"'.
&gt; (class=boolean #args=2): String/numeric greater-than. Mixing number and string
results in string compare.
&gt;= (class=boolean #args=2): String/numeric greater-than-or-equals. Mixing number
and string results in string compare.
&lt; (class=boolean #args=2): String/numeric less-than. Mixing number and string
results in string compare.
&lt;= (class=boolean #args=2): String/numeric less-than-or-equals. Mixing number
and string results in string compare.
&amp;&amp; (class=boolean #args=2): Logical AND.
|| (class=boolean #args=2): Logical OR.
^^ (class=boolean #args=2): Logical XOR.
! (class=boolean #args=1): Logical negation.
? : (class=boolean #args=3): Ternary operator.
. (class=string #args=2): String concatenation.
gsub (class=string #args=3): Example: '$name=gsub($name, "old", "new")'
(replace all).
strlen (class=string #args=1): String length.
sub (class=string #args=3): Example: '$name=sub($name, "old", "new")'
(replace once).
substr (class=string #args=3): substr(s,m,n) gives substring of s from 0-up position m to n
inclusive. Negative indices -len .. -1 alias to 0 .. len-1.
tolower (class=string #args=1): Convert string to lowercase.
toupper (class=string #args=1): Convert string to uppercase.
abs (class=math #args=1): Absolute value.
acos (class=math #args=1): Inverse trigonometric cosine.
acosh (class=math #args=1): Inverse hyperbolic cosine.
asin (class=math #args=1): Inverse trigonometric sine.
asinh (class=math #args=1): Inverse hyperbolic sine.
atan (class=math #args=1): One-argument arctangent.
atan2 (class=math #args=2): Two-argument arctangent.
atanh (class=math #args=1): Inverse hyperbolic tangent.
cbrt (class=math #args=1): Cube root.
ceil (class=math #args=1): Ceiling: nearest integer at or above.
cos (class=math #args=1): Trigonometric cosine.
cosh (class=math #args=1): Hyperbolic cosine.
erf (class=math #args=1): Error function.
erfc (class=math #args=1): Complementary error function.
exp (class=math #args=1): Exponential function e**x.
expm1 (class=math #args=1): e**x - 1.
floor (class=math #args=1): Floor: nearest integer at or below.
invqnorm (class=math #args=1): Inverse of normal cumulative distribution
function. Note that invqorm(urand()) is normally distributed.
log (class=math #args=1): Natural (base-e) logarithm.
log10 (class=math #args=1): Base-10 logarithm.
log1p (class=math #args=1): log(1-x).
logifit (class=math #args=3): Given m and b from logistic regression, compute
fit: $yhat=logifit($x,$m,$b).
madd (class=math #args=3): a + b mod m (integers)
max (class=math variadic): max of n numbers; null loses
mexp (class=math #args=3): a ** b mod m (integers)
min (class=math variadic): Min of n numbers; null loses
mmul (class=math #args=3): a * b mod m (integers)
msub (class=math #args=3): a - b mod m (integers)
pow (class=math #args=2): Exponentiation; same as **.
qnorm (class=math #args=1): Normal cumulative distribution function.
round (class=math #args=1): Round to nearest integer.
roundm (class=math #args=2): Round to nearest multiple of m: roundm($x,$m) is
the same as round($x/$m)*$m
sgn (class=math #args=1): +1 for positive input, 0 for zero input, -1 for
negative input.
sin (class=math #args=1): Trigonometric sine.
sinh (class=math #args=1): Hyperbolic sine.
sqrt (class=math #args=1): Square root.
tan (class=math #args=1): Trigonometric tangent.
tanh (class=math #args=1): Hyperbolic tangent.
urand (class=math #args=0): Floating-point numbers on the unit interval.
Int-valued example: '$n=floor(20+urand()*11)'.
urand32 (class=math #args=0): Integer uniformly distributed 0 and 2**32-1
inclusive.
urandint (class=math #args=2): Integer uniformly distributed between inclusive
integer endpoints.
dhms2fsec (class=time #args=1): Recovers floating-point seconds as in
dhms2fsec("5d18h53m20.250000s") = 500000.250000
dhms2sec (class=time #args=1): Recovers integer seconds as in
dhms2sec("5d18h53m20s") = 500000
fsec2dhms (class=time #args=1): Formats floating-point seconds as in
fsec2dhms(500000.25) = "5d18h53m20.250000s"
fsec2hms (class=time #args=1): Formats floating-point seconds as in
fsec2hms(5000.25) = "01:23:20.250000"
gmt2sec (class=time #args=1): Parses GMT timestamp as integer seconds since
the epoch.
hms2fsec (class=time #args=1): Recovers floating-point seconds as in
hms2fsec("01:23:20.250000") = 5000.250000
hms2sec (class=time #args=1): Recovers integer seconds as in
hms2sec("01:23:20") = 5000
sec2dhms (class=time #args=1): Formats integer seconds as in sec2dhms(500000)
= "5d18h53m20s"
sec2gmt (class=time #args=1): Formats seconds since epoch (integer part)
as GMT timestamp, e.g. sec2gmt(1440768801.7) = "2015-08-28T13:33:21Z".
Leaves non-numbers as-is.
sec2gmtdate (class=time #args=1): Formats seconds since epoch (integer part)
as GMT timestamp with year-month-date, e.g. sec2gmtdate(1440768801.7) = "2015-08-28".
Leaves non-numbers as-is.
sec2hms (class=time #args=1): Formats integer seconds as in
sec2hms(5000) = "01:23:20"
strftime (class=time #args=2): Formats seconds since epoch (integer part)
as timestamp, e.g.
strftime(1440768801.7,"%Y-%m-%dT%H:%M:%SZ") = "2015-08-28T13:33:21Z".
strptime (class=time #args=2): Parses timestamp as integer seconds since epoch,
e.g. strptime("2015-08-28T13:33:21Z","%Y-%m-%dT%H:%M:%SZ") = 1440768801.
systime (class=time #args=0): Floating-point seconds since the epoch,
e.g. 1440768801.748936.
isabsent (class=typing #args=1): False if field is present in input, false otherwise
isbool (class=typing #args=1): True if field is present with boolean value. Synonymous with isboolean.
isboolean (class=typing #args=1): True if field is present with boolean value. Synonymous with isbool.
isempty (class=typing #args=1): True if field is present in input with empty string value, false otherwise.
isemptymap (class=typing #args=1): True if argument is a map which is empty.
isfloat (class=typing #args=1): True if field is present with value inferred to be float
isint (class=typing #args=1): True if field is present with value inferred to be int
ismap (class=typing #args=1): True if argument is a map.
isnonemptymap (class=typing #args=1): True if argument is a map which is non-empty.
isnotempty (class=typing #args=1): False if field is present in input with empty value, false otherwise
isnotnull (class=typing #args=1): False if argument is null (empty or absent), true otherwise.
isnull (class=typing #args=1): True if argument is null (empty or absent), false otherwise.
isnumeric (class=typing #args=1): True if field is present with value inferred to be int or float
ispresent (class=typing #args=1): True if field is present in input, false otherwise.
isscalar (class=typing #args=1): True if argument is not a map.
isstring (class=typing #args=1): True if field is present with string (including empty-string) value
assert_notnull (class=typing #args=1): Returns argument if non-null (non-empty and non-absent), else throws an error.
assert_present (class=typing #args=1): Returns argument if present in input, else throws an error.
assert_empty (class=typing #args=1): Returns argument if present in input with empty value, else throws an error.
assert_notempty (class=typing #args=1): Returns argument if present in input with non-empty value, else throws an error.
assert_numeric (class=typing #args=1): Returns argument if present with int or float value, else throws an error.
assert_int (class=typing #args=1): Returns argument if present with int value, else throws an error.
assert_float (class=typing #args=1): Returns argument if present with float value, else throws an error.
assert_bool (class=typing #args=1): Returns argument if present with boolean value, else throws an error.
assert_boolean (class=typing #args=1): Returns argument if present with boolean value, else throws an error.
assert_string (class=typing #args=1): Returns argument if present with string (including empty-string) value, else throws an error.
boolean (class=conversion #args=1): Convert int/float/bool/string to boolean.
float (class=conversion #args=1): Convert int/float/bool/string to float.
fmtnum (class=conversion #args=2): Convert int/float/bool to string using
printf-style format string, e.g. '$s = fmtnum($n, "%06lld")'.
hexfmt (class=conversion #args=1): Convert int to string, e.g. 255 to "0xff".
int (class=conversion #args=1): Convert int/float/bool/string to int.
string (class=conversion #args=1): Convert int/float/bool/string to string.
typeof (class=conversion #args=1): Convert argument to type of argument (e.g.
MT_STRING). For debug.
depth (class=maps #args=1): xxx temp.
haskey (class=maps #args=2): xxx temp.
joink (class=maps #args=2): xxx temp.
joinkv (class=maps #args=3): xxx temp.
joinv (class=maps #args=2): xxx temp.
leafcount (class=maps #args=1): xxx temp.
length (class=maps #args=1): xxx temp.
mapdiff (class=maps variadic): xxx temp.
mapsum (class=maps variadic): xxx temp.
splitkv (class=maps #args=3): xxx temp.
splitnv (class=maps #args=2): xxx temp.
To set the seed for urand, you may specify decimal or hexadecimal 32-bit
numbers of the form "mlr --seed 123456789" or "mlr --seed 0xcafefeed".
Miller's built-in variables are NF, NR, FNR, FILENUM, and FILENAME (awk-like)
along with the mathematical constants PI and E.
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="User-defined_functions_and_subroutines"/><h2>User-defined functions and subroutines</h2>
<p/> As of Miller 5.0.0 you can define your own functions, as well as subroutines.
<!-- ================================================================ -->
<a id="User-defined_functions"/><h3>User-defined functions</h3>
<p/>Here&rsquo;s the obligatory example of a recursive function to compute the factorial function:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/small put '
func f(n) {
if (isnumeric(n)) {
if (n &gt; 0) {
return n * f(n-1);
} else {
return 1;
}
}
# implicitly return absent-null if non-numeric
}
$ox = f($x + NR);
$oi = f($i);
'
a b i x y ox oi
pan pan 1 0.3467901443380824 0.7268028627434533 0.467054 1
eks pan 2 0.7586799647899636 0.5221511083334797 3.680838 2
wye wye 3 0.20460330576630303 0.33831852551664776 1.741251 6
eks wye 4 0.38139939387114097 0.13418874328430463 18.588349 24
wye pan 5 0.5732889198020006 0.8636244699032729 211.387310 120
</pre>
</div>
<p/>
<p/>Properties of user-defined functions:
<ul>
<li/> Function bodies start with <tt>func</tt> and a parameter list, defined
outside of <tt>begin</tt>, <tt>end</tt>, or other <tt>func</tt> or
<tt>subr</tt> blocks. (I.e. the Miller DSL has no nested functions.)
<li/> A function (uniqified by its name) may not be redefined: either by
redefining a user-defined function, or by redefining a built-in function.
However, functions and subroutines have separate namespaces: you can define a
subroutine <tt>log</tt> which does not clash with the mathematical <tt>log</tt>
function.
<li/> Functions may be defined either before or after use (there is an
object-binding/linkage step at startup). More specifically, functions may be
either recursive or mutually recursive. Functions may not call subroutines.
<li/> Functions may be defined and called either within <tt>mlr put</tt> or
<tt>mlr put</tt>.
<li/> Functions have read access to <tt>$</tt>-variables and
<tt>@</tt>-variables but may not modify them.
See also
<a href="cookbook.html#Memoization_with_out-of-stream_variables">this cookbook item</a> for an example.
<li/> Argument values may be reassigned: they are not read-only.
<li/> When a return value is not implicitly returned, this results in a return
value of absent-null. (In the example above, if there were records for which
the argument to <tt>f</tt> is non-numeric, the assignments would be skipped.)
See also the section on
<a href="#Null_data:_empty_and_absent">empty_and_absent null data</a>.
<li/> See the section on <a href="#Local_variables">local variables</a> for
information on scope and extent of arguments, as well as for information on the
use of local variables within functions.
<li/> See the section on <a href="Expressions_from_files">expressions from
files</a> for information on the use of <tt>-f</tt> and <tt>-e</tt> flags.
</ul>
<!-- ================================================================ -->
<a id="User-defined_subroutines"/><h3>User-defined subroutines</h3>
<p/>Example:
<p/>
<div class="pokipanel">
<pre>
$ mlr --opprint --from data/small put -q '
begin {
@call_count = 0;
}
subr s(n) {
@call_count += 1;
if (isnumeric(n)) {
if (n &gt; 1) {
call s(n-1);
} else {
print "numcalls=" . @call_count;
}
}
}
print "NR=" . NR;
call s(NR);
'
NR=1
numcalls=1
NR=2
numcalls=3
NR=3
numcalls=6
NR=4
numcalls=10
NR=5
numcalls=15
</pre>
</div>
<p/>
<p/>Properties of user-defined subroutines:
<ul>
<li/> Subroutine bodies start with <tt>subr</tt> and a parameter list, defined
outside of <tt>begin</tt>, <tt>end</tt>, or other <tt>func</tt> or
<tt>subr</tt> blocks. (I.e. the Miller DSL has no nested subroutines.)
<li/> A subroutine (uniqified by its name) may not be redefined.
However, functions and subroutines have separate namespaces: you can define a
subroutine <tt>log</tt> which does not clash with the mathematical <tt>log</tt>
function.
<li/> Subroutines may be defined either before or after use (there is an
object-binding/linkage step at startup). More specifically, subroutines may be
either recursive or mutually recursive. Subroutines may call functions.
<li/> Subroutines may be defined and called either within <tt>mlr put</tt> or
<tt>mlr put</tt>.
<li/> Subroutines have read/write access to <tt>$</tt>-variables and
<tt>@</tt>-variables.
<li/> Argument values may be reassigned: they are not read-only.
<li/> See the section on <a href="#Local_variables">local variables</a> for
information on scope and extent of arguments, as well as for information on the
use of local variables within functions.
<li/> See the section on <a href="Expressions_from_files">expressions from
files</a> for information on the use of <tt>-f</tt> and <tt>-e</tt> flags.
</ul>
<!-- ================================================================ -->
<a id="A_note_on_the_complexity_of_Miller&rsquo;s_expression_language"/><h2>A note on the complexity of Miller&rsquo;s expression language</h2>
<p/> One of Miller&rsquo;s strengths is its brevity: it&rsquo;s much quicker
&mdash; and less error-prone &mdash; to type <tt>mlr stats1 -a sum -f x,y -g
a,b</tt> than having to track summation variables as in <tt>awk</tt>, or using
Miller&rsquo;s out-of-stream variables. And the more language features
Miller&rsquo;s put-DSL has (for-loops, if-statements, nested control
structures, etc.) then the <i>less</i> powerful it begins to seem: because of
the other programming-language features it <i>doesn&rsquo;t</i> have.
<p/> When I was originally prototyping Miller in 2015, the decision I had was
whether to hand-code in a low-level language like C or Rust, with my own
hand-rolled DSL, or whether to use a higher-level language (like Python or Lua
or Nim) and let the <tt>put</tt> statements be handled by the implementation
language&rsquo;s own <tt>eval</tt>: the implementation language would take the
place of a DSL. Multiple performance experiments showed me I could get better
throughput using the former, and using C in particular &mdash; by a wide margin. So
Miller is C under the hood with a hand-rolled DSL.
<p/> I do want to keep focusing on what Miller is good at &mdash; concise notation,
low latency, and high throughput &mdash; and not add too much in terms of
high-level-language features to the DSL. That said, some sort of looping over
field names is a basic thing to want. As of 4.1.0 we have recursive
for/while/if structures on about the same complexity level as <tt>awk</tt>.
While I&rsquo;m excited by these powerful language features, I hope to keep new
features beyond 4.1.0 focused on Miller&rsquo;s sweet spot which is speed plus
simplicity.
<!-- ================================================================ -->
<a id="then-chaining"/><h1>then-chaining</h1>
<p/>
In accord with the
<a href="http://en.wikipedia.org/wiki/Unix_philosophy">Unix philosophy</a>, you can pipe data into or out of
Miller. For example:
<p/>
<div class="pokipanel">
<pre>
mlr cut --complement -f os_version *.dat | mlr sort -f hostname,uptime
</pre>
</div>
<p/>
<p/>
You can, if you like, instead simply chain commands together using the
<tt>then</tt> keyword:
<p/>
<div class="pokipanel">
<pre>
mlr cut --complement -f os_version then sort -f hostname,uptime *.dat
</pre>
</div>
<p/>
Here&rsquo;s a performance comparison:
<p/>
<div class="pokipanel">
<pre>
% cat piped.sh
mlr cut -x -f i,y data/big | mlr sort -n y &gt; /dev/null
% time sh piped.sh
real 0m2.828s
user 0m3.183s
sys 0m0.137s
% cat chained.sh
mlr cut -x -f i,y then sort -n y data/big &gt; /dev/null
% time sh chained.sh
real 0m2.082s
user 0m1.933s
sys 0m0.137s
</pre>
</div>
<p/>
There are two reasons to use then-chaining: one is for performance, although I
don&rsquo;t expect this to be a win in all cases. Using then-chaining avoids
redundant string-parsing and string-formatting at each pipeline step: instead
input records are parsed once, they are fed through each pipeline stage in
memory, and then output records are formatted once. On the other hand, Miller
is single-threaded, while modern systems are usually multi-processor, and when
streaming-data programs operate through pipes, each one can use a CPU. Rest
assured you get the same results either way.
<p/>The other reason to use then-chaining is for simplicity: you don&rsquo;t
have re-type formatting flags (e.g. <tt>--csv --rs lf --fs tab</tt>) at every
pipeline stage.
<!-- ================================================================ -->
<a id="Data_types"/><h1>Data types</h1>
<p/> Miller&rsquo;s input and output are all string-oriented: there is (as of
August 2015 anyway) no support for binary record packing. In this sense,
everything is a string in and out of Miller. During processing, field names
are always strings, even if they have names like "3"; field values are usually
strings. Field values&rsquo; ability to be interpreted as a non-string type
only has meaning when comparison or function operations are done on them. And
it is an error condition if Miller encounters non-numeric (or otherwise
mistyped) data in a field in which it has been asked to do numeric (or
otherwise type-specific) operations.
<p/> Field values are treated as numeric for the following:
<ul>
<li/> Numeric sort: <tt>mlr sort -n</tt>, <tt>mlr sort -nr</tt>.
<li/> Statistics: <tt>mlr histogram</tt>, <tt>mlr stats1</tt>, <tt>mlr stats2</tt>.
<li/> Cross-record arithmetic: <tt>mlr step</tt>.
</ul>
<p/>For <tt>mlr put</tt> and <tt>mlr filter</tt>:
<ul>
<li/> Miller&rsquo;s types for function processing are <b>null</b> (empty
string), <b>error</b>, <b>string</b>, <b>float</b> (double-precision),
<b>int</b> (64-bit signed), and <b>boolean</b>.
<li/> On input, string values representable as numbers, e.g. "3" or "3.1", are
treated as int or float, respectively. If a record has <tt>x=1,y=2</tt> then
<tt>mlr put '$z=$x+$y'</tt> will produce <tt>x=1,y=2,z=3</tt>, and <tt>mlr put
'$z=$x.$y'</tt> gives an error. To coerce back to string for processing, use
the <tt>string</tt> function: <tt>mlr put '$z=string($x).string($y)'</tt> will
produce <tt>x=1,y=2,z=12</tt>.
<li/> On input, string values representable as boolean (e.g. <tt>"true"</tt>,
<tt>"false"</tt>) are <i>not</i> automatically treated as boolean. (This is
because <tt>"true"</tt> and <tt>"false"</tt> are ordinary words, and auto
string-to-boolean on a column consisting of words would result in some strings
mixed with some booleans.) Use the <tt>boolean</tt> function to coerce: e.g.
giving the record <tt>x=1,y=2,w=false</tt> to <tt>mlr put '$z=($x&lt;$y) ||
boolean($w)'</tt>.
<li/> Functions take types as described in <tt>mlr --help-all-functions</tt>:
for example, <tt>log10</tt> takes float input and produces float output,
<tt>gmt2sec</tt> maps string to int, and <tt>sec2gmt</tt> maps int to string.
<li/> All math functions described in <tt>mlr --help-all-functions</tt> take
integer as well as float input.
</ul>
<!-- ================================================================ -->
<a id="Null_data:_empty_and_absent"/><h1>Null data: empty and absent</h1>
<p/> One of Miller&rsquo;s key features is its support for <b>heterogeneous</b>
data. For example, take <tt>mlr sort</tt>: if you try to sort on field
<tt>hostname</tt> when not all records in the data stream <i>have</i> a field
named <tt>hostname</tt>, it is not an error (although you could pre-filter the
data stream using <tt>mlr having-fields --at-least hostname then sort
...</tt>). Rather, records lacking one or more sort keys are simply output
contiguously by <tt>mlr sort</tt>.
<p/> Miller has two kinds of null data:
<ul>
<li/> <b>Empty</b>: a field name is present in a record (or in an out-of-stream
variable) with empty value: e.g. <tt>x=,y=2</tt> in the data input stream, or
assignment <tt>$x=""</tt> or <tt>@x=""</tt> in <tt>mlr put</tt>.
<li/> <b>Absent</b>: a field name is not present, e.g. input record is
<tt>x=1,y=2</tt> and a <tt>put</tt> or <tt>filter</tt> expression refers to
<tt>$z</tt>. Or, reading an out-of-stream variable which hasn&rsquo;t been
assigned a value yet,
e.g. <tt>mlr put -q '@sum += $x'; end{emit @sum}'</tt> or <tt>mlr put -q
'@sum[$a][$b] += $x'; end{emit @sum, "a", "b"}'</tt>.
</ul>
<p/>You can test these programatically using the functions
<tt>isempty</tt>/<tt>isnotempty</tt>, <tt>isabsent</tt>/<tt>ispresent</tt>, and
<tt>isnull</tt>/<tt>isnotnull</tt>. For the last pair, note that null means
either empty or absent.
<p/>
Rules for null-handling:
<ul>
<li> Records with one or more empty sort-field values sort after records with
all sort-field values present:
<p/>
<div class="pokipanel">
<pre>
$ mlr cat data/sort-null.dat
a=3,b=2
a=1,b=8
a=,b=4
x=9,b=10
a=5,b=7
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr sort -n a data/sort-null.dat
a=1,b=8
a=3,b=2
a=5,b=7
a=,b=4
x=9,b=10
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr sort -nr a data/sort-null.dat
a=,b=4
a=5,b=7
a=3,b=2
a=1,b=8
x=9,b=10
</pre>
</div>
<p/>
<li> Functions/operators which have one or more <i>empty</i> arguments produce empty output: e.g.
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=2,y=3' | mlr put '$a=$x+$y'
x=2,y=3,a=5
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=,y=3' | mlr put '$a=$x+$y'
x=,y=3,a=
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=,y=3' | mlr put '$a=log($x);$b=log($y)'
x=,y=3,a=,b=1.098612
</pre>
</div>
<p/>
with the exception that the <tt>min</tt> and <tt>max</tt> functions are
special: if one argument is non-null, it wins:
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=,y=3' | mlr put '$a=min($x,$y);$b=max($x,$y)'
x=,y=3,a=3,b=3
</pre>
</div>
<p/>
<li> Functions of <i>absent</i> variables (e.g. <tt>mlr put '$y =
log10($nonesuch)'</tt>) evaluate to absent, and arithmetic/bitwise/boolean
operators with both operands being absent evaluate to absent.
Arithmetic operators with one absent operand return the other operand.
More specifically, absent values act like zero for addition/subtraction, and
one for multiplication: Furthermore, <b>any expression which evaluates to
absent is not stored in the output record</b>:
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=2,y=3' | mlr put '$a=$u+$v; $b=$u+$y; $c=$x+$y'
x=2,y=3,b=3,c=5
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ echo 'x=2,y=3' | mlr put '$a=min($x,$v);$b=max($u,$y);$c=min($u,$v)'
x=2,y=3,a=2,b=3
</pre>
</div>
<p/>
</ul>
The reasoning is as follows:
<ul>
<li/> Empty values are explicit in the data so they should explicitly affect accumulations:
<tt>mlr put '@sum += $x'</tt>
should accumulate numeric <tt>x</tt> values into the sum but an empty
<tt>x</tt>, when encountered in the input data stream, should make the sum
non-numeric. To work around this you can use the
<tt>isnotnull</tt> function as follows:
<tt>mlr put 'isnotnull($x) { @sum += $x }'</tt>
<li/> Absent stream-record values should not break accumulations, since Miller
by design handles heterogenous data: the running <tt>@sum</tt> in
<tt>mlr put '@sum += $x'</tt>
should not be invalidated for records which have no <tt>x</tt>.
<li/> Absent out-of-stream-variable values are precisely what allow you to write
<tt>mlr put '@sum += $x'</tt>. Otherwise you would have to write
<tt>mlr put 'begin{@sum = 0}; @sum += $x'</tt> &mdash;
which is tolerable &mdash; but for
<tt>mlr put 'begin{...}; @sum[$a][$b] += $x'</tt>
you&rsquo;d have to pre-initialize <tt>@sum</tt> for all values of <tt>$a</tt> and <tt>$b</tt> in your
input data stream, which is intolerable.
<li/> The penalty for the absent feature is that misspelled variables can be hard to find:
e.g. in <tt>mlr put 'begin{@sumx = 10}; ...; update @sumx somehow per-record; ...; end {@something = @sum * 2}'</tt>
the accumulator is spelt <tt>@sumx</tt> in the begin-block but <tt>@sum</tt> in the end-block, where since it
is absent, <tt>@sum*2</tt> evaluates to 2.
</ul>
<p/>Since absent plus absent is absent (and likewise for other operators),
accumulations such as <tt>@sum += $x</tt> work correctly on heterogenous data,
as do within-record formulas if both operands are absent. If one operand is
present, you may get behavior you don&rsquo;t desire. To work around this
&mdash; namely, to set an output field only for records which have all the
inputs present &mdash; you can use a pattern-action block with
<tt>ispresent</tt>:
<p/>
<div class="pokipanel">
<pre>
$ mlr cat data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true
record_count=100,resource=/path/to/file
resource=/path/to/second/file,loadsec=0.32,ok=true
record_count=150,resource=/path/to/second/file
resource=/some/other/path,loadsec=0.97,ok=false
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put 'ispresent($loadsec) { $loadmillis = $loadsec * 1000 }' data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true,loadmillis=450.000000
record_count=100,resource=/path/to/file
resource=/path/to/second/file,loadsec=0.32,ok=true,loadmillis=320.000000
record_count=150,resource=/path/to/second/file
resource=/some/other/path,loadsec=0.97,ok=false,loadmillis=970.000000
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr put '$loadmillis = (ispresent($loadsec) ? $loadsec : 0.0) * 1000' data/het.dkvp
resource=/path/to/file,loadsec=0.45,ok=true,loadmillis=450.000000
record_count=100,resource=/path/to/file,loadmillis=0.000000
resource=/path/to/second/file,loadsec=0.32,ok=true,loadmillis=320.000000
record_count=150,resource=/path/to/second/file,loadmillis=0.000000
resource=/some/other/path,loadsec=0.97,ok=false,loadmillis=970.000000
</pre>
</div>
<p/>
<p/> If you&rsquo;re interested in a formal description of how empty and absent
fields participate in arithmetic, here&rsquo;s a table for plus (other
arithmetic/boolean/bitwise operators are similar):
<p/>
<div class="pokipanel">
<pre>
$ mlr --print-type-arithmetic-info
(+) | error absent empty string int float bool
------ + ------ ------ ------ ------ ------ ------ ------
error | error error error error error error error
absent | error absent absent error int float error
empty | error absent empty error empty empty error
string | error error error error error error error
int | error int empty error int float error
float | error float empty error float float error
bool | error error error error error error error
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="String_literals"/><h1>String literals</h1>
<p/>
You can use the following backslash escapes for strings such as between the double quotes in contexts such as
<tt>mlr filter '$name =~ "..."'</tt>,
<tt>mlr put '$name = $othername . "..."'</tt>,
<tt>mlr put '$name = sub($name, "...", "...")</tt>, etc.:
<ul>
<li/> <tt>\a</tt>: ASCII code 0x07 (alarm/bell)
<li/> <tt>\b</tt>: ASCII code 0x08 (backspace)
<li/> <tt>\f</tt>: ASCII code 0x0c (formfeed)
<li/> <tt>\n</tt>: ASCII code 0x0a (LF/linefeed/newline)
<li/> <tt>\r</tt>: ASCII code 0x0d (CR/carriage return)
<li/> <tt>\t</tt>: ASCII code 0x09 (tab)
<li/> <tt>\v</tt>: ASCII code 0x0b (vertical tab)
<li/> <tt>\\</tt>: backslash
<li/> <tt>\"</tt>: double quote
<li/> <tt>\123</tt>: Octal 123, etc. for <tt>\000</tt> up to <tt>\377</tt>
<li/> <tt>\x7f</tt>: Hexadecimal 7f, etc. for <tt>\x00</tt> up to <tt>\xff</tt>
</ul>
<p/>See also <a href="https://en.wikipedia.org/wiki/Escape_sequences_in_C">https://en.wikipedia.org/wiki/Escape_sequences_in_C</a>.
<p/>These replacements apply only to strings you key in for the DSL expressions for <tt>filter</tt> and <tt>put</tt>:
that is, if you type <tt>\t</tt> in a string literal for a <tt>filter</tt>/<tt>put</tt> expression, it will be turned into a tab character. If you want a backslash followed by a <tt>t</tt>, then please type <tt>\\t</tt>.
<p/>However, these replacements are not done automatically within your data stream. If you wish to make these
replacements, you can do, for example, for a field named <tt>field</tt>, <tt> mlr put '$field = gsub($field, "\\t",
"\t")'</tt>. If you need to make such a replacement for all fields in your data, you should probably simply use the
system <tt>sed</tt> command.
<a id="Regular_expressions"/><h1>Regular expressions</h1>
<p/>Miller lets you use regular expressions (of type POSIX.2) in the following contexts:
<ul>
<li/> In <tt>mlr filter</tt> with <tt>=~</tt> or <tt>!=~</tt>, e.g. <tt>mlr
filter '$url =~ "http.*com"'</tt>
<li/> In <tt>mlr put</tt> with <tt>sub</tt> or <tt>gsub</tt>, e.g. <tt>mlr put
'$url = sub($url, "http.*com", "")'</tt>
<li/> In <tt>mlr having-fields</tt>, e.g. <tt>mlr having-fields
--any-matching '^sda[0-9]'</tt>
<li/> In <tt>mlr cut</tt>, e.g. <tt>mlr cut -r -f '^status$,^sda[0-9]'</tt>
<li/> In <tt>mlr rename</tt>, e.g. <tt>mlr rename -r '^(sda[0-9]).*$,dev/\1'</tt>
<li/> In <tt>mlr grep</tt>, e.g. <tt>mlr --csv grep 00188555487 myfiles*.csv</tt>
</ul>
<p/>Points demonstrated by the above examples:
<ul>
<li/> There are no implicit start-of-string or end-of-string anchors; please
use <tt>^</tt> and/or <tt>$</tt> explicitly.
<li/> Miller regexes are wrapped with double quotes rather than slashes.
<li/> The <tt>i</tt> after the ending double quote indicates a case-insensitive
regex.
<li/> Capture groups are wrapped with <tt>(...)</tt> rather than
<tt>\(...\)</tt>; use <tt>\(</tt> and <tt>\)</tt> to match against parentheses.
</ul>
<p/>For <tt>filter</tt> and <tt>put</tt>, if the regular expression is a string
literal (the normal case), it is precompiled at process start and reused
thereafter, which is efficient. If the regular expression is a more complex
expression, including string concatenation using <tt>.</tt>, or a column name
(in which case you can take regular expressions from input data!), then regexes
are compiled on each record which works but is less efficient. As well, in this
case there is no way to specify case-insensitive matching.
<p/>Example:
<p/>
<div class="pokipanel">
<pre>
$ cat data/regex-in-data.dat
name=jane,regex=^j.*e$
name=bill,regex=^b[ou]ll$
name=bull,regex=^b[ou]ll$
</pre>
</div>
<p/>
<p/>
<div class="pokipanel">
<pre>
$ mlr filter '$name =~ $regex' data/regex-in-data.dat
name=jane,regex=^j.*e$
name=bull,regex=^b[ou]ll$
</pre>
</div>
<p/>
<a id="Regex_captures"/><h2>Regex captures</h2>
<p/>Regex captures of the form <tt>\0</tt> through <tt>\9</tt> are supported as
follows: <ul>
<li/> Captures have in-function context for <tt>sub</tt> and <tt>gsub</tt>.
For example, the first <tt>\1,\2</tt> pair belong to the first <tt>sub</tt> and
the second <tt>\1,\2</tt> pair belong to the second <tt>sub</tt>:
<p/>
<div class=pokipanel>
<pre>
mlr put '$b = sub($a, "(..)_(...)", "\2-\1"); $c = sub($a, "(..)_(.)(..)", ":\1:\2:\3")'
</pre>
</div>
<li/> Captures endure for the entirety of a <tt>put</tt> for the <tt>=~</tt>
and <tt>!=~</tt> operators. For example, here the <tt>\1,\2</tt> are set by the
<tt>=~</tt> operator and are used by both subsequent assignment statements:
<p/>
<div class=pokipanel>
<pre>
mlr put '$a =~ "(..)_(....); $b = "left_\1"; $c = "right_\2"'
</pre>
</div>
<li/>The captures are not retained across multiple puts. For example, here the
<tt>\1,\2</tt> won&rsquo;t be expanded from the regex capture:
<p/>
<div class=pokipanel>
<pre>
mlr put '$a =~ "(..)_(....)' then {... something else ...} then put '$b = "left_\1"; $c = "right_\2"'
</pre>
</div>
<li/> Captures are ignored in <tt>filter</tt> for the <tt>=~</tt> and
<tt>!=~</tt> operators. For example, there is no mechanism provided to refer to
the first <tt>(..)</tt> as <tt>\1</tt> or to the second <tt>(....)</tt> as
<tt>\2</tt> in the following filter statement:
<p/>
<div class=pokipanel>
<pre>
mlr filter '$a =~ "(..)_(....)'
</pre>
</div>
<li/> Up to nine matches are supported: <tt>\1</tt> through <tt>\9</tt>, while
<tt>\0</tt> is the entire match string; <tt>\15</tt> is treated as <tt>\1</tt>
followed by an unrelated <tt>5</tt>.
</ul>
<!-- ================================================================ -->
<a id="Operator_precedence"/><h1>Operator precedence</h1>
<p/>Operators are listed in order of decreasing precedence, highest first.
<p/>
<div class="pokipanel">
<pre>
Operators Associativity
--------- -------------
() left to right
** right to left
! ~ unary+ unary- &amp; right to left
binary* / // % left to right
binary+ binary- . left to right
&lt;&lt; &gt;&gt; left to right
&amp; left to right
^ left to right
| left to right
&lt; &lt;= &gt; &gt;= left to right
== != =~ !=~ left to right
&amp;&amp; left to right
^^ left to right
|| left to right
? : right to left
= N/A for Miller (there is no $a=$b=$c)
</pre>
</div>
<p/>
<!-- ================================================================ -->
<a id="Operator_and_function_semantics"/><h1>Operator and function semantics</h1>
<ul>
<li/> Functions are in general pass-throughs straight to the system-standard C
library.
<li/> The <tt>min</tt> and <tt>max</tt> functions are different from other
multi-argument functions which return null if any of their inputs are null: for
<tt>min</tt> and <tt>max</tt>, by contrast, if one argument is null, the other
is returned.
<li/> Symmetrically with respect to the bitwise OR, XOR, and AND operators
<tt>|</tt>, <tt>^</tt>, <tt>&amp;</tt>, Miller has logical operators
<tt>||</tt>, <tt>^^</tt>, <tt>&amp;&amp;</tt>: the logical XOR not existing in
C.
<li/> The exponentiation operator <tt>**</tt> is familiar from many languages.
<li/> The regex-match and regex-not-match operators <tt>=~</tt> and
<tt>!=~</tt> are similar to those in Ruby and Perl.
</ul>
<!-- ================================================================ -->
<a id="Arithmetic"/><h1>Arithmetic</h1>
<a id="Input_scanning"/><h2>Input scanning</h2>
<p/>Numbers in Miller are double-precision float or 64-bit signed integers.
Anything scannable as int, e.g <tt>123</tt> or <tt>0xabcd</tt>, is treated as
an integer; otherwise, input scannable as float (<tt>4.56</tt> or <tt>8e9</tt>)
is treated as float; everything else is a string.
<p/>If you want all numbers to be treated as floats, then you may use
<tt>float()</tt> in your filter/put expressions (e.g. replacing <tt>$c = $a *
$b</tt> with <tt>$c = float($a) * float($b)</tt>) &mdash; or, more simply, use
<tt>mlr filter -F</tt> and <tt>mlr put -F</tt> which forces all numeric input,
whether from expression literals or field values, to float. Likewise <tt>mlr
stats1 -F</tt> and <tt>mlr step -F</tt> force integerable accumulators (such as
<tt>count</tt>) to be done in floating-point.
<a id="Conversion_by_math_routines"/><h2>Conversion by math routines</h2>
<p/>For most math functions, integers are cast to float on input, and produce
float output: e.g. <tt>exp(0) = 1.0</tt> rather than <tt>1</tt>. The
following, however, produce integer output if their inputs are integers:
<tt>+</tt> <tt>-</tt> <tt>*</tt> <tt>/</tt> <tt>//</tt> <tt>%</tt> <tt>abs</tt>
<tt>ceil</tt> <tt>floor</tt> <tt>max</tt> <tt>min</tt> <tt>round</tt>
<tt>roundm</tt> <tt>sgn</tt>. As well, <tt>stats1 -a min</tt>, <tt>stats1 -a
max</tt>, <tt>stats1 -a sum</tt>, <tt>step -a delta</tt>, and <tt>step -a
rsum</tt> produce integer output if their inputs are integers.
<a id="Conversion_by_arithmetic_operators"/><h2>Conversion by arithmetic operators</h2>
<p/>The sum, difference, and product of integers is again integer, except for
when that would overflow a 64-bit integer at which point Miller converts the
result to float.
<p/>The short of it is that Miller does this transparently for you so you
needn&rsquo;t think about it.
<p/>Implementation details of this, for the interested: integer adds and
subtracts overflow by at most one bit so it suffices to check sign-changes.
Thus, Miller allows you to add and subtract arbitrary 64-bit signed integers,
converting only to float precisely when the result is less than -2<sup>63</sup>
or greater than 2<sup>63</sup>-1. Multiplies, on the other hand, can overflow
by a word size and a sign-change technique does not suffice to detect overflow.
Instead Miller tests whether the floating-point product exceeds the
representable integer range. Now, 64-bit integers have 64-bit precision while
IEEE-doubles have only 52-bit mantissas &mdash; so, there are 53 bits including
implicit leading one. The following experiment explicitly demonstrates the
resolution at this range:
<div class=pokipanel>
<pre>
64-bit integer 64-bit integer Casted to double Back to 64-bit
in hex in decimal integer
0x7ffffffffffff9ff 9223372036854774271 9223372036854773760.000000 0x7ffffffffffff800
0x7ffffffffffffa00 9223372036854774272 9223372036854773760.000000 0x7ffffffffffff800
0x7ffffffffffffbff 9223372036854774783 9223372036854774784.000000 0x7ffffffffffffc00
0x7ffffffffffffc00 9223372036854774784 9223372036854774784.000000 0x7ffffffffffffc00
0x7ffffffffffffdff 9223372036854775295 9223372036854774784.000000 0x7ffffffffffffc00
0x7ffffffffffffe00 9223372036854775296 9223372036854775808.000000 0x8000000000000000
0x7ffffffffffffffe 9223372036854775806 9223372036854775808.000000 0x8000000000000000
0x7fffffffffffffff 9223372036854775807 9223372036854775808.000000 0x8000000000000000
</pre>
</div>
<p/>That is, one cannot check an integer product to see if it is precisely
greater than 2<sup>63</sup>-1 or less than -2<sup>63</sup> using either integer
arithmetic (it may have already overflowed) or using double-precision (due to
granularity). Instead Miller checks for overflow in 64-bit integer
multiplication by seeing whether the absolute value of the double-precision
product exceeds the largest representable IEEE double less than 2<sup>63</sup>,
which we see from the listing above is 9223372036854774784. (An alternative
would be to do all integer multiplies using handcrafted multi-word 128-bit
arithmetic. This approach is not taken.)
<a id="Pythonic_division"/><h2>Pythonic division</h2>
<p/>Division and remainder are
<a href="http://python-history.blogspot.com/2010/08/why-pythons-integer-division-floors.html">
pythonic</a>:
<ul>
<li/> Quotient of integers is floating-point: <tt>7/2</tt> is <tt>3.5</tt>.
<li/> Integer division is done with <tt>//</tt>: <tt>7/2</tt> is <tt>3</tt>.
This rounds toward the negative.
<li/> Remainders are non-negative.
</ul>
</div>
</td>
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