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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/06/15 08:52:03 UTC

[jira] [Assigned] (SPARK-8159) Improve SQL/DataFrame expression coverage

     [ https://issues.apache.org/jira/browse/SPARK-8159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-8159:
-----------------------------------

    Assignee:     (was: Apache Spark)

> Improve SQL/DataFrame expression coverage
> -----------------------------------------
>
>                 Key: SPARK-8159
>                 URL: https://issues.apache.org/jira/browse/SPARK-8159
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Reynold Xin
>
> This is an umbrella ticket to track new expressions we are adding to SQL/DataFrame.
> For each new expression, we should:
> 1. Add a new Expression implementation in org.apache.spark.sql.catalyst.expressions
> 2. If applicable, implement the code generated version (by implementing genCode).
> 3. Add comprehensive unit tests (for all the data types the expressions support).
> 4. If applicable, add a new function for DataFrame in org.apache.spark.sql.functions, and python/pyspark/sql/functions.py for Python.
> For date/time functions, put them in expressions/datetime.scala, and create a DateTimeFunctionSuite.scala for testing.



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