Christopher Hoshino-Fish created SPARK-28977: ------------------------------------------------
Summary: 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 Fix For: 2.4.3 [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