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From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-22814) JDBC support date/timestamp type as partitionColumn
Date Sat, 16 Dec 2017 06:41:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiao Li updated SPARK-22814:
----------------------------
    Component/s:     (was: Input/Output)
                 SQL

> 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
>   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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