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4 changed files with 16 additions and 11 deletions
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@ -5,7 +5,7 @@ filter out input lines starting with `#`, for all file formats. Likewise, `mlr
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--skip-comments-with X` lets you specify the comment-string `X`. Comments are
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only supported at start of data line.
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* The [**count-similar**](http://johnkerl.org/miller-releases/miller-5.2.0/doc/reference-verbs.html#count-similar)
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* The [**count-similar**](http://johnkerl.org/miller-releases/miller-5.3.0/doc/reference-verbs.html#count-similar)
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verb lets you compute cluster sizes by cluster labels.
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* While Miller DSL arithmetic gracefully overflows from 64-integer to
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@ -14,7 +14,7 @@ double-precision float (see also
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are now the **integer-preserving arithmetic operators** `.+` `.-` `.*` `./` `.//`
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for those times when you want integer overflow.
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* There is a new [**bitcount**](http://johnkerl.org/miller-releases/miller-5.2.0/doc/reference-dsl.html#bitcount) function: for example, `echo x=0xf0000206 | mlr put '$y=bitcount($x)'` produces `x=0xf0000206,y=7`.
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* There is a new [**bitcount**](http://johnkerl.org/miller-releases/miller-5.3.0/doc/reference-dsl.html#bitcount) function: for example, `echo x=0xf0000206 | mlr put '$y=bitcount($x)'` produces `x=0xf0000206,y=7`.
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* [**Issue 158**](https://github.com/johnkerl/miller/issues/158): `mlr -T` is
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an alias for `--nidx --fs tab`, and `mlr -t` is an alias for `mlr
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@ -25,10 +25,10 @@ an alias for `--nidx --fs tab`, and `mlr -t` is an alias for `mlr
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## Documentation:
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* As noted
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[**here**](http://johnkerl.org/miller-releases/miller-5.2.0/doc/reference-dsl.html#A_note_on_the_complexity_of_Miller’s_expression_language), while Miller has its own DSL there will always be things better expressible in a general-purpose language. The new page
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[**Sharing data with other languages**](http://johnkerl.org/miller-releases/miller-5.2.0/doc/data-sharing.html) shows how to seamlessly share data back and forth between Miller, Ruby, and Python.
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[**here**](http://johnkerl.org/miller-releases/miller-5.3.0/doc/reference-dsl.html#A_note_on_the_complexity_of_Miller’s_expression_language), while Miller has its own DSL there will always be things better expressible in a general-purpose language. The new page
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[**Sharing data with other languages**](http://johnkerl.org/miller-releases/miller-5.3.0/doc/data-sharing.html) shows how to seamlessly share data back and forth between Miller, Ruby, and Python.
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* [**SQL-input examples**](http://johnkerl.org/miller-releases/miller-5.2.0/doc/10-min.html#SQL-input_examples) contains detailed information the interplay between Miller and SQL.
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* [**SQL-input examples**](http://johnkerl.org/miller-releases/miller-5.3.0/doc/10-min.html#SQL-input_examples) contains detailed information the interplay between Miller and SQL.
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* [**Issue 150**](https://github.com/johnkerl/miller/issues/150) raised a
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question about suppressing numeric conversion. This resulted in a new FAQ entry
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@ -20,6 +20,7 @@ BUGFIXES
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! --skip-comments
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! count-similar
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-> ut
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* sql in/outs -> own page?
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================================================================
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COMMENTS:
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@ -30,9 +30,11 @@ streaming-data feature and single-pass algorithms enable you to <b>reduce very
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large data sets</b>.
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<li/> Miller complements SQL <b>databases</b>: you can slice, dice, and
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reformat data on the client side on its way into or out of a database. You can
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also reap some of the benefits of databases for quick, setup-free one-off tasks
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when you just need to query some data in disk files in a hurry.
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reformat data on the client side on its way into or out of a database.
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(Examples <a href="10-min.html#SQL-input_examples">here</a> and <a
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href="10-min.html#SQL-output_examples">here</a>). You can also reap some of the
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benefits of databases for quick, setup-free one-off tasks when you just need to
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query some data in disk files in a hurry.
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<li/> Miller also goes beyond the classic Unix tools by stepping fully into our
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modern, <b>no-SQL</b> world: its essential record-heterogeneity property allows
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@ -218,9 +218,11 @@ streaming-data feature and single-pass algorithms enable you to <b>reduce very
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large data sets</b>.
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<li/> Miller complements SQL <b>databases</b>: you can slice, dice, and
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reformat data on the client side on its way into or out of a database. You can
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also reap some of the benefits of databases for quick, setup-free one-off tasks
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when you just need to query some data in disk files in a hurry.
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reformat data on the client side on its way into or out of a database.
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(Examples <a href="10-min.html#SQL-input_examples">here</a> and <a
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href="10-min.html#SQL-output_examples">here</a>). You can also reap some of the
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benefits of databases for quick, setup-free one-off tasks when you just need to
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query some data in disk files in a hurry.
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<li/> Miller also goes beyond the classic Unix tools by stepping fully into our
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modern, <b>no-SQL</b> world: its essential record-heterogeneity property allows
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