commit | e57bad76a849119eaac4aca3a5e579468f47c614 | [log] [tgz] |
---|---|---|
author | Makoto Yui <myui@apache.org> | Thu Dec 26 16:48:02 2019 +0900 |
committer | Makoto Yui <myui@apache.org> | Thu Dec 26 16:48:02 2019 +0900 |
tree | 0960b366b668e5266cbe6ccaa7776612346b8ce7 | |
parent | 2d9050e9b17c54b39e9a99b222f0d9f1beb44ea3 [diff] |
[HIVEMALL-289] Add str_contain(string str, array<string> match, boolean or=true) UDF ## What changes were proposed in this pull request? Add str_contain(string str, array<string> match, boolean or=true) UDF ## What type of PR is it? Feature ## What is the Jira issue? https://issues.apache.org/jira/browse/HIVEMALL-289 ## How was this patch tested? manual tests on EMR ## How to use this feature? ```sql select str_contains('There are apple and orange', array('apple')), str_contains('There are apple and orange', array('apple', 'banana'), true), str_contains('There are apple and orange', array('apple', 'banana'), false); > true, true, false ``` ## Checklist - [x] Did you apply source code formatter, i.e., `./bin/format_code.sh`, for your commit? - [x] Did you run system tests on Hive (or Spark)? Author: Makoto Yui <myui@apache.org> Closes #225 from myui/HIVEMALL-289.
Apache Hivemall is a scalable machine learning library that runs on Apache Hive, Apache Spark, and Apache Pig. Hivemall is designed to be scalable to the number of training instances as well as the number of training features.
Find more examples on our user guide and find a brief introduction to Hivemall in this slide.
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$ ./bin/update_func_md.sh
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