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Posted to issues@spark.apache.org by "Rajesh Balamohan (JIRA)" <ji...@apache.org> on 2016/09/03 00:15:20 UTC
[jira] [Updated] (SPARK-16948) Use metastore schema instead of
inferring schema for ORC in HiveMetastoreCatalog
[ https://issues.apache.org/jira/browse/SPARK-16948?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rajesh Balamohan updated SPARK-16948:
-------------------------------------
Summary: Use metastore schema instead of inferring schema for ORC in HiveMetastoreCatalog (was: Use metastore schema instead of inferring schema in ORC in HiveMetastoreCatalog)
> Use metastore schema instead of inferring schema for ORC in HiveMetastoreCatalog
> --------------------------------------------------------------------------------
>
> Key: SPARK-16948
> URL: https://issues.apache.org/jira/browse/SPARK-16948
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Rajesh Balamohan
> Priority: Minor
>
> Querying empty partitioned ORC tables from spark-sql throws exception with "spark.sql.hive.convertMetastoreOrc=true".
> {noformat}
> java.util.NoSuchElementException: None.get
> at scala.None$.get(Option.scala:347)
> at scala.None$.get(Option.scala:345)
> at org.apache.spark.sql.hive.HiveMetastoreCatalog$$anonfun$12.apply(HiveMetastoreCatalog.scala:297)
> at org.apache.spark.sql.hive.HiveMetastoreCatalog$$anonfun$12.apply(HiveMetastoreCatalog.scala:284)
> at scala.Option.getOrElse(Option.scala:121)
> at org.apache.spark.sql.hive.HiveMetastoreCatalog.org$apache$spark$sql$hive$HiveMetastoreCatalog$$convertToLogicalRelation(HiveMetastoreCatalog.scala:284)
> at org.apache.spark.sql.hive.HiveMetastoreCatalog$OrcConversions$.org$apache$spark$sql$hive$HiveMetastoreCatalog$OrcConversions$$convertToOrcRelation(HiveMetastoreCatalo)
> at org.apache.spark.sql.hive.HiveMetastoreCatalog$OrcConversions$$anonfun$apply$2.applyOrElse(HiveMetastoreCatalog.scala:423)
> at org.apache.spark.sql.hive.HiveMetastoreCatalog$OrcConversions$$anonfun$apply$2.applyOrElse(HiveMetastoreCatalog.scala:414)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:301)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:301)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:300)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:298)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:322)
> {noformat}
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