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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:18 UTC
[jira] [Updated] (SPARK-14651) CREATE TEMPORARY TABLE is not
supported yet
[ https://issues.apache.org/jira/browse/SPARK-14651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-14651:
---------------------------------
Labels: bulk-closed (was: )
> CREATE TEMPORARY TABLE is not supported yet
> -------------------------------------------
>
> Key: SPARK-14651
> URL: https://issues.apache.org/jira/browse/SPARK-14651
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.2.0
> Reporter: Jacek Laskowski
> Priority: Minor
> Labels: bulk-closed
>
> With today's master it seems that {{CREATE TEMPORARY TABLE}} may or may not work depending on how complete the DDL is (?)
> {code}
> scala> sql("CREATE temporary table t2")
> 16/04/14 23:29:26 INFO HiveSqlParser: Parsing command: CREATE temporary table t2
> org.apache.spark.sql.catalyst.parser.ParseException:
> CREATE TEMPORARY TABLE is not supported yet. Please use registerTempTable as an alternative.(line 1, pos 0)
> == SQL ==
> CREATE temporary table t2
> ^^^
> at org.apache.spark.sql.hive.execution.HiveSqlAstBuilder$$anonfun$visitCreateTable$1.apply(HiveSqlParser.scala:169)
> at org.apache.spark.sql.hive.execution.HiveSqlAstBuilder$$anonfun$visitCreateTable$1.apply(HiveSqlParser.scala:165)
> at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:85)
> at org.apache.spark.sql.hive.execution.HiveSqlAstBuilder.visitCreateTable(HiveSqlParser.scala:165)
> at org.apache.spark.sql.hive.execution.HiveSqlAstBuilder.visitCreateTable(HiveSqlParser.scala:53)
> at org.apache.spark.sql.catalyst.parser.SqlBaseParser$CreateTableContext.accept(SqlBaseParser.java:1049)
> at org.antlr.v4.runtime.tree.AbstractParseTreeVisitor.visit(AbstractParseTreeVisitor.java:42)
> at org.apache.spark.sql.catalyst.parser.AstBuilder$$anonfun$visitSingleStatement$1.apply(AstBuilder.scala:63)
> at org.apache.spark.sql.catalyst.parser.AstBuilder$$anonfun$visitSingleStatement$1.apply(AstBuilder.scala:63)
> at org.apache.spark.sql.catalyst.parser.ParserUtils$.withOrigin(ParserUtils.scala:85)
> at org.apache.spark.sql.catalyst.parser.AstBuilder.visitSingleStatement(AstBuilder.scala:62)
> at org.apache.spark.sql.catalyst.parser.AbstractSqlParser$$anonfun$parsePlan$1.apply(ParseDriver.scala:54)
> at org.apache.spark.sql.catalyst.parser.AbstractSqlParser$$anonfun$parsePlan$1.apply(ParseDriver.scala:53)
> at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:86)
> at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parsePlan(ParseDriver.scala:53)
> at org.apache.spark.sql.SQLContext.parseSql(SQLContext.scala:198)
> at org.apache.spark.sql.hive.HiveContext.org$apache$spark$sql$hive$HiveContext$$super$parseSql(HiveContext.scala:201)
> at org.apache.spark.sql.hive.HiveContext$$anonfun$parseSql$1.apply(HiveContext.scala:201)
> at org.apache.spark.sql.hive.HiveContext$$anonfun$parseSql$1.apply(HiveContext.scala:201)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:228)
> at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:175)
> at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:174)
> at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:217)
> at org.apache.spark.sql.hive.HiveContext.parseSql(HiveContext.scala:200)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:765)
> ... 48 elided
> scala> sql("CREATE temporary table t2 USING PARQUET OPTIONS (PATH 'hello') AS SELECT * FROM t1")
> 16/04/14 23:30:21 INFO HiveSqlParser: Parsing command: CREATE temporary table t2 USING PARQUET OPTIONS (PATH 'hello') AS SELECT * FROM t1
> org.apache.spark.sql.AnalysisException: Table or View not found: t1; line 1 pos 80
> at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$getTable(Analyzer.scala:412)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:421)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:416)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:58)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:58)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:68)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:57)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:55)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:55)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:302)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at scala.collection.AbstractIterator.to(Iterator.scala:1336)
> at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
> at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:351)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:55)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:55)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:55)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:302)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at scala.collection.AbstractIterator.to(Iterator.scala:1336)
> at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
> at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:351)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:55)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:416)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:406)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:46)
> at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:46)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:41)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:61)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:765)
> ... 48 elided
> {code}
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