[jira] [Commented] (SPARK-22814) JDBC support date/timestamp type as partitionColumn

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16551580#comment-16551580 ] 

Apache Spark commented on SPARK-22814:
--------------------------------------

User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/21834

> JDBC support date/timestamp type as partitionColumn
> ---------------------------------------------------
>
>                 Key: SPARK-22814
>                 URL: https://issues.apache.org/jira/browse/SPARK-22814
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.6.2, 2.2.1
>            Reporter: Yuechen Chen
>            Priority: Major
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> In spark, you can partition MySQL queries by partitionColumn.
> val df = (spark.read.jdbc(url=jdbcUrl,
>     table="employees",
>     columnName="emp_no",
>     lowerBound=1L,
>     upperBound=100000L,
>     numPartitions=100,
>     connectionProperties=connectionProperties))
> display(df)
> But, partitionColumn must be a numeric column from the table.
> However, there are lots of table, which has no primary key, and has some date/timestamp indexes.



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