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miller-in-place doc
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John Kerl
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3 changed files with 92 additions and 51 deletions
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@ -141,6 +141,26 @@ POKI_RUN_COMMAND{{mlr --opprint --right cat data/small}}HERE
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</ul>
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<!-- ================================================================ -->
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<h2>In-place mode</h2>
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<p/> Use the <tt>mlr -I</tt> flag to process files in-place. For example,
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<tt>mlr -I --csv cut -x -f unwanted_column_name mydata/*.csv</tt> will remove
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<tt>unwanted_column_name</tt> from all your <tt>*.csv</tt> files in your
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<tt>mydata/</tt> subdirectory.
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<p/> By default, Miller output goes to the screen (or you can redirect a file
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using <tt>></tt> or to another process using <tt>|</tt>). With <tt>-I</tt>,
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for each file name on the command line, output is written to a temporary file
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in the same directory. Miller writes its output into that temp file, which is
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then renamed over the original. Then, processing continues on the next file.
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Each file is processed in isolation: if the output format is CSV, CSV headers
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will be present in each output file; statistics are only over each file's own
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records; and so on.
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<p/> Please see <a href="10-min.html#Choices_for_printing_to_files">here</a>
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for examples.
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<!-- ================================================================ -->
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<h2>Compression</h2>
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@ -607,33 +607,33 @@ $ mlr --ofmt '%.9lf' --opprint seqgen --start 1 --stop 28 then put '
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' then put '$seconds=systime()' then step -a delta -f seconds then cut -x -f seconds
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i o fcount seconds_delta
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1 1 1 0
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2 2 3 0.000035048
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3 3 5 0.000012875
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4 5 9 0.000017166
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5 8 15 0.000021935
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6 13 25 0.000032902
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7 21 41 0.000048161
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8 34 67 0.000073910
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9 55 109 0.000117064
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10 89 177 0.000185966
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11 144 287 0.000303030
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12 233 465 0.000478029
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13 377 753 0.000764847
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14 610 1219 0.001672983
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15 987 1973 0.001921177
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16 1597 3193 0.003156900
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17 2584 5167 0.005409002
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18 4181 8361 0.008440018
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19 6765 13529 0.012629986
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20 10946 21891 0.020117044
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21 17711 35421 0.031926870
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22 28657 57313 0.052613020
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23 46368 92735 0.092349052
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24 75025 150049 0.142802954
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25 121393 242785 0.223661184
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26 196418 392835 0.371279955
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27 317811 635621 0.588642836
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28 514229 1028457 0.961585999
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2 2 3 0.000032902
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3 3 5 0.000013113
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4 5 9 0.000015020
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5 8 15 0.000020981
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6 13 25 0.000030041
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7 21 41 0.000043869
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8 34 67 0.000069141
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9 55 109 0.000108004
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10 89 177 0.000172853
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11 144 287 0.000279188
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12 233 465 0.000440836
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13 377 753 0.000707150
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14 610 1219 0.001134872
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15 987 1973 0.001888037
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16 1597 3193 0.002954006
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17 2584 5167 0.004790068
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18 4181 8361 0.008813858
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19 6765 13529 0.012180090
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20 10946 21891 0.019551992
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21 17711 35421 0.031635046
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22 28657 57313 0.053840876
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23 46368 92735 0.081580162
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24 75025 150049 0.138602972
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25 121393 242785 0.220221043
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26 196418 392835 0.349595785
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27 317811 635621 0.610495090
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28 514229 1028457 1.026066065
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</pre>
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</div>
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<p/>
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@ -665,33 +665,33 @@ $ mlr --ofmt '%.9lf' --opprint seqgen --start 1 --stop 28 then put '
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' then put '$seconds=systime()' then step -a delta -f seconds then cut -x -f seconds
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i o fcount seconds_delta
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1 1 1 0
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2 2 3 0.000035048
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3 3 3 0.000012875
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4 5 3 0.000010967
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5 8 3 0.000011206
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6 13 3 0.000010967
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7 21 3 0.000010014
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8 34 3 0.000010014
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9 55 3 0.000010014
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2 2 3 0.000037193
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3 3 3 0.000013828
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4 5 3 0.000012159
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5 8 3 0.000010967
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6 13 3 0.000011921
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7 21 3 0.000011921
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8 34 3 0.000011206
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9 55 3 0.000010967
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10 89 3 0.000011921
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11 144 3 0.000010967
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12 233 3 0.000013113
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13 377 3 0.000010967
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14 610 3 0.000010014
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15 987 3 0.000010014
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11 144 3 0.000011921
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12 233 3 0.000015020
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13 377 3 0.000012159
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14 610 3 0.000010967
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15 987 3 0.000010967
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16 1597 3 0.000010967
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17 2584 3 0.000008821
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18 4181 3 0.000010014
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19 6765 3 0.000010014
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20 10946 3 0.000010014
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21 17711 3 0.000010014
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22 28657 3 0.000010014
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23 46368 3 0.000012159
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24 75025 3 0.000009775
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25 121393 3 0.000010014
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26 196418 3 0.000010014
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17 2584 3 0.000010967
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18 4181 3 0.000010967
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19 6765 3 0.000011206
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20 10946 3 0.000010967
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21 17711 3 0.000010967
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22 28657 3 0.000010967
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23 46368 3 0.000012875
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24 75025 3 0.000011206
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25 121393 3 0.000011921
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26 196418 3 0.000010967
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27 317811 3 0.000010014
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28 514229 3 0.000010014
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28 514229 3 0.000010967
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</pre>
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</div>
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<p/>
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@ -147,6 +147,7 @@ Miller commands were run with pretty-print-tabular output format.
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• <a href="#On-line_help">On-line help</a><br/>
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• <a href="#I/O_options">I/O options</a><br/>
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• <a href="#Formats">Formats</a><br/>
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• <a href="#In-place_mode">In-place mode</a><br/>
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• <a href="#Compression">Compression</a><br/>
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• <a href="#Record/field/pair_separators">Record/field/pair separators</a><br/>
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• <a href="#Number_formatting">Number formatting</a><br/>
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@ -667,6 +668,26 @@ wye pan 5 0.5732889198020006 0.8636244699032729
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</ul>
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<!-- ================================================================ -->
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<a id="In-place_mode"/><h2>In-place mode</h2>
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<p/> Use the <tt>mlr -I</tt> flag to process files in-place. For example,
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<tt>mlr -I --csv cut -x -f unwanted_column_name mydata/*.csv</tt> will remove
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<tt>unwanted_column_name</tt> from all your <tt>*.csv</tt> files in your
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<tt>mydata/</tt> subdirectory.
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<p/> By default, Miller output goes to the screen (or you can redirect a file
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using <tt>></tt> or to another process using <tt>|</tt>). With <tt>-I</tt>,
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for each file name on the command line, output is written to a temporary file
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in the same directory. Miller writes its output into that temp file, which is
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then renamed over the original. Then, processing continues on the next file.
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Each file is processed in isolation: if the output format is CSV, CSV headers
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will be present in each output file; statistics are only over each file's own
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records; and so on.
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<p/> Please see <a href="10-min.html#Choices_for_printing_to_files">here</a>
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for examples.
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<!-- ================================================================ -->
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<a id="Compression"/><h2>Compression</h2>
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