[ https://issues.apache.org/jira/browse/SPARK-28977?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-28977: ------------------------------ Target Version/s: (was: 2.4.3) > 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. -- This message was sent by Atlassian Jira (v8.3.2#803003) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org