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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/11/30 18:37:58 UTC
[jira] [Assigned] (SPARK-18097) Can't drop a table from Hive if the
schema is corrupt
[ https://issues.apache.org/jira/browse/SPARK-18097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-18097:
------------------------------------
Assignee: (was: Apache Spark)
> Can't drop a table from Hive if the schema is corrupt
> -----------------------------------------------------
>
> Key: SPARK-18097
> URL: https://issues.apache.org/jira/browse/SPARK-18097
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.1
> Reporter: Davies Liu
>
> When the schema of Hive table is broken, we can't drop the table using Spark SQL, for example
> {code}
> Error in SQL statement: QueryExecutionException: FAILED: IllegalArgumentException Error: > expected at the position 10 of 'ss:string:struct<>' but ':' is found.
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:336)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.expect(TypeInfoUtils.java:331)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:480)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:447)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:481)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:447)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseType(TypeInfoUtils.java:481)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils$TypeInfoParser.parseTypeInfos(TypeInfoUtils.java:305)
> at org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils.getTypeInfosFromTypeString(TypeInfoUtils.java:754)
> at org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe.initialize(ParquetHiveSerDe.java:104)
> at org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:339)
> at org.apache.hadoop.hive.ql.metadata.Table.getDeserializerFromMetaStore(Table.java:288)
> at org.apache.hadoop.hive.ql.metadata.Table.checkValidity(Table.java:194)
> at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:1017)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:353)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:351)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:280)
> at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:227)
> at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:226)
> at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:269)
> at org.apache.spark.sql.hive.client.HiveClientImpl.getTableOption(HiveClientImpl.scala:351)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$tableExists$1.apply$mcZ$sp(HiveExternalCatalog.scala:228)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$tableExists$1.apply(HiveExternalCatalog.scala:228)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$tableExists$1.apply(HiveExternalCatalog.scala:228)
> at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:72)
> at org.apache.spark.sql.hive.HiveExternalCatalog.tableExists(HiveExternalCatalog.scala:227)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:255)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.requireTableExists(SessionCatalog.scala:126)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.getTableMetadata(SessionCatalog.scala:267)
> at org.apache.spark.sql.execution.command.ShowCreateTableCommand.run(tables.scala:753)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58)
> at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
> at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
> at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:186)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:167)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:65)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:682)
> {code}
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