Ken Geis created SPARK-7196: ------------------------------- Summary: decimal precision lost when loading DataFrame from JDBC Key: SPARK-7196 URL: https://issues.apache.org/jira/browse/SPARK-7196 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.3.1 Reporter: Ken Geis
I have a decimal database field that is defined as 10.2 (i.e. ##########.##). When I load it into Spark via sqlContext.jdbc(..), the type of the corresponding field in the DataFrame is DecimalType, with precisionInfo None. Because of that loss of precision information, SPARK-4176 is triggered when I try to .saveAsTable(..). -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org