[SPARK-12682][SQL] Add support for (optionally) not storing tables in hive metadata format #10826
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sameeragarwal
changed the title
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Test build #49664 has finished for PR 10826 at commit
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| @@ -323,7 +323,15 @@ private[hive] class HiveMetastoreCatalog(val client: ClientInterface, hive: Hive | |||
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| // TODO: Support persisting partitioned data source relations in Hive compatible format | |||
| val qualifiedTableName = tableIdent.quotedString | |||
| val skipHiveMetadata = options.getOrElse("skip_hive_metadata", "false").toBoolean | |||
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Thanks @yhuai, all comments addressed. |
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test this please |
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jenkins test this please |
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Test build #50014 has finished for PR 10826 at commit
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test this please |
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Test build #50040 has finished for PR 10826 at commit
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LGTM. Merging to master and branch 1.6. |
asfgit
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Jan 26, 2016
… hive metadata format This PR adds a new table option (`skip_hive_metadata`) that'd allow the user to skip storing the table metadata in hive metadata format. While this could be useful in general, the specific use-case for this change is that Hive doesn't handle wide schemas well (see https://issues.apache.org/jira/browse/SPARK-12682 and https://issues.apache.org/jira/browse/SPARK-6024) which in turn prevents such tables from being queried in SparkSQL. Author: Sameer Agarwal <sameer@databricks.com> Closes #10826 from sameeragarwal/skip-hive-metadata. (cherry picked from commit 08c781c) Signed-off-by: Yin Huai <yhuai@databricks.com>
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This PR adds a new table option (
skip_hive_metadata) that'd allow the user to skip storing the table metadata in hive metadata format. While this could be useful in general, the specific use-case for this change is that Hive doesn't handle wide schemas well (see https://issues.apache.org/jira/browse/SPARK-12682 and https://issues.apache.org/jira/browse/SPARK-6024) which in turn prevents such tables from being queried in SparkSQL.