Yuechen Chen created SPARK-22814: ------------------------------------ Summary: 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: Input/Output Affects Versions: 2.2.1, 1.6.2 Reporter: Yuechen Chen
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 (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org