spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-16329) select * from temp_table_no_cols fails
Date Thu, 30 Jun 2016 20:48:10 GMT

    [ https://issues.apache.org/jira/browse/SPARK-16329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15357824#comment-15357824
] 

Xiao Li commented on SPARK-16329:
---------------------------------

nvm, thank you for your confirmation!

> select * from temp_table_no_cols fails
> --------------------------------------
>
>                 Key: SPARK-16329
>                 URL: https://issues.apache.org/jira/browse/SPARK-16329
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.0, 1.6.1, 1.6.2
>            Reporter: Adrian Ionescu
>
> The following works with spark 1.5.1, but not anymore with spark 1.6.0:
> {code}
> import org.apache.spark.sql.{ DataFrame, Row }
> import org.apache.spark.sql.types.StructType
> val rddNoCols = sqlContext.sparkContext.parallelize(1 to 10).map(_ => Row.empty)
> val dfNoCols = sqlContext.createDataFrame(rddNoCols, StructType(Seq.empty))
> dfNoCols.registerTempTable("temp_table_no_cols")
> sqlContext.sql("select * from temp_table_no_cols").show
> {code}
> spark 1.5.1 result:
> {noformat}
> ++
> ||
> ++
> ||
> ||
> ||
> ||
> ||
> ||
> ||
> ||
> ||
> ||
> ++
> {noformat}
> spark 1.6.0 result:
> {noformat}
> java.lang.IllegalArgumentException: requirement failed
>         at scala.Predef$.require(Predef.scala:221)
>         at org.apache.spark.sql.catalyst.analysis.UnresolvedStar.expand(unresolved.scala:199)
>         at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$14.apply(Analyzer.scala:354)
>         at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10$$anonfun$applyOrElse$14.apply(Analyzer.scala:353)
>         at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>         at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
>         at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>         at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>         at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
>         at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
>         at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10.applyOrElse(Analyzer.scala:353)
>         at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$10.applyOrElse(Analyzer.scala:347)
>         at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
>         at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:57)
>         at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53)
>         at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:56)
>         at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:347)
>         at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.apply(Analyzer.scala:328)
>         at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:83)
>         at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:80)
>         at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111)
>         at scala.collection.immutable.List.foldLeft(List.scala:84)
>         at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:80)
>         at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:72)
>         at scala.collection.immutable.List.foreach(List.scala:318)
>         at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:72)
>         at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:36)
>         at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:36)
>         at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
>         at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
>         at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
>         at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)
>         at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:28)
>         at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)
>         at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:35)
>         at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
>         at $iwC$$iwC$$iwC$$iwC.<init>(<console>:39)
>         at $iwC$$iwC$$iwC.<init>(<console>:41)
>         at $iwC$$iwC.<init>(<console>:43)
>         at $iwC.<init>(<console>:45)
>         at <init>(<console>:47)
>         at .<init>(<console>:51)
>         at .<clinit>(<console>)
>         at .<init>(<console>:7)
>         at .<clinit>(<console>)
>         at $print(<console>)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:606)
>         at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
>         at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
>         at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
>         at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
>         at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
>         at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
>         at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
>         at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
>         at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
>         at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
>         at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
>         at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
>         at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
>         at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
>         at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
>         at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
>         at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
>         at org.apache.spark.repl.Main$.main(Main.scala:31)
>         at org.apache.spark.repl.Main.main(Main.scala)
>         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>         at java.lang.reflect.Method.invoke(Method.java:606)
>         at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
>         at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
>         at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
>         at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
>         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {noformat}
> I can understand why tables with no columns might not be supported in SQL, but in that
case I would say that the {{dfNoCols.registerTempTable()}} call should fail with a more descriptive
error.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message