Travis Hegner created SPARK-10648:
-------------------------------------
Summary: Spark-SQL JDBC fails to set a default precision and scale
when they are not defined in an oracle schema.
Key: SPARK-10648
URL: https://issues.apache.org/jira/browse/SPARK-10648
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.0
Environment: using oracle 11g, ojdbc7.jar
Reporter: Travis Hegner
Using oracle 11g as a datasource with ojdbc7.jar. When importing data into a
scala app, I am getting an exception "Overflowed precision". Some times I would
get the exception "Unscaled value too large for precision".
This issue likely affects older versions as well, but this was the version I
verified it on.
I narrowed it down to the fact that the schema detection system was trying to
set the precision to 0, and the scale to -127.
I have a proposed pull request to follow.
--
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
