[
https://issues.apache.org/jira/browse/SPARK-22814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li resolved SPARK-22814.
-----------------------------
Resolution: Fixed
Assignee: Takeshi Yamamuro
Fix Version/s: 2.4.0
> 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
> Assignee: Takeshi Yamamuro
> Priority: Major
> Fix For: 2.4.0
>
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
