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Posted to issues@spark.apache.org by "Sean Owen (Jira)" <ji...@apache.org> on 2019/09/04 22:08:00 UTC
[jira] [Updated] (SPARK-28977) JDBC Dataframe Reader Doc Doesn't
Match JDBC Data Source Page
[ https://issues.apache.org/jira/browse/SPARK-28977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-28977:
------------------------------
Fix Version/s: (was: 2.4.3)
Priority: Minor (was: Major)
> JDBC Dataframe Reader Doc Doesn't Match JDBC Data Source Page
> -------------------------------------------------------------
>
> Key: SPARK-28977
> URL: https://issues.apache.org/jira/browse/SPARK-28977
> Project: Spark
> Issue Type: Documentation
> Components: Documentation
> Affects Versions: 2.4.3
> Reporter: Christopher Hoshino-Fish
> Priority: Minor
>
> [https://spark.apache.org/docs/2.4.3/sql-data-sources-jdbc.html]
> Specifically in the partitionColumn section, this page says:
> "{{partitionColumn}} must be a numeric, date, or timestamp column from the table in question."
>
> But then in this doc: [https://spark.apache.org/docs/2.4.3/api/scala/index.html#org.apache.spark.sql.DataFrameReader]
> in def jdbc(url: String, table: String, columnName: String, lowerBound: Long, upperBound: Long, numPartitions: Int, connectionProperties: Properties): DataFrame
> we have:
> columnName
> the name of a column of integral type that will be used for partitioning.
>
> This appears to go back pretty far, to 1.6.3, but I'm not sure when this was accurate.
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