[ https://issues.apache.org/jira/browse/SPARK-10672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai resolved SPARK-10672. ------------------------------ Resolution: Fixed Fix Version/s: 1.5.1 1.6.0 Issue resolved by pull request 8824 [https://github.com/apache/spark/pull/8824] > We should not fail to create a table If we cannot persist metadata of a data > source table to metastore in a Hive compatible way > ------------------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-10672 > URL: https://issues.apache.org/jira/browse/SPARK-10672 > Project: Spark > Issue Type: Bug > Components: SQL > Reporter: Yin Huai > Assignee: Yin Huai > Priority: Blocker > Fix For: 1.6.0, 1.5.1 > > > It is possible that Hive has some internal restrictions on what kinds of > metadata of a table it accepts (e.g. Hive 0.13 does not support decimal > stored in parquet). If it is the case, we should not fail when we try to > store the metadata in a Hive compatible way. We should just save it in the > Spark SQL specific format. -- 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