Ken Geis created SPARK-7196:
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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(..).
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