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Posted to issues@spark.apache.org by "Yijie Shen (JIRA)" <ji...@apache.org> on 2015/07/21 14:24:04 UTC
[jira] [Commented] (SPARK-9183) NPE / confusing error message when
looking up missing function in Spark SQL
[ https://issues.apache.org/jira/browse/SPARK-9183?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635027#comment-14635027 ]
Yijie Shen commented on SPARK-9183:
-----------------------------------
[~joshrosen] I can't reproduce this NPE, I've tried the master branch and 1.4 branch both, with hive support build using
{code}
build/mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -Phive -Phive-thriftserver -DskipTests clean package
{code}
and when I entered the select you provided, I see the following one:
{code}
ERROR metastore.RetryingHMSHandler: MetaException(message:NoSuchObjectException(message:Function default.len does not exist))
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newMetaException(HiveMetaStore.java:4613)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_function(HiveMetaStore.java:4740)
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.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:105)
.....
Caused by: NoSuchObjectException(message:Function default.len does not exist)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_function(HiveMetaStore.java:4735)
... 168 more
{code}
> NPE / confusing error message when looking up missing function in Spark SQL
> ---------------------------------------------------------------------------
>
> Key: SPARK-9183
> URL: https://issues.apache.org/jira/browse/SPARK-9183
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1, 1.5.0
> Reporter: Josh Rosen
> Priority: Blocker
>
> Try running the following query in Spark Shell with Hive enabled:
> {code}
> sqlContext.sql("""select substr("abc", 0, len("ab") - 1)""")
> {code}
> This query is malformed since there's no {{len}} UDF. Unfortunately, though, this gives a really confusing error as of Spark 1.4:
> {code}
> : java.lang.NullPointerException
> at org.apache.hadoop.hive.ql.exec.FunctionRegistry.getFunctionInfo(FunctionRegistry.java:643)
> at org.apache.hadoop.hive.ql.exec.FunctionRegistry.getFunctionInfo(FunctionRegistry.java:652)
> at org.apache.spark.sql.hive.HiveFunctionRegistry.lookupFunction(hiveUdfs.scala:54)
> at org.apache.spark.sql.hive.HiveContext$$anon$3.org$apache$spark$sql$catalyst$analysis$OverrideFunctionRegistry$$super$lookupFunction(HiveContext.scala:380)
> at org.apache.spark.sql.catalyst.analysis.OverrideFunctionRegistry$$anonfun$lookupFunction$2.apply(FunctionRegistry.scala:44)
> at org.apache.spark.sql.catalyst.analysis.OverrideFunctionRegistry$$anonfun$lookupFunction$2.apply(FunctionRegistry.scala:44)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.sql.catalyst.analysis.OverrideFunctionRegistry$class.lookupFunction(FunctionRegistry.scala:44)
> at org.apache.spark.sql.hive.HiveContext$$anon$3.lookupFunction(HiveContext.scala:380)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$13$$anonfun$applyOrElse$5.applyOrElse(Analyzer.scala:465)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$13$$anonfun$applyOrElse$5.applyOrElse(Analyzer.scala:463)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:222)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:222)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:221)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:242)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> [...]
> {code}
> In Spark 1.3, on the other hand, this gives a helpful message:
> {code}
> : java.lang.RuntimeException: Couldn't find function len
> at scala.sys.package$.error(package.scala:27)
> at org.apache.spark.sql.hive.HiveFunctionRegistry$$anonfun$1.apply(hiveUdfs.scala:55)
> at org.apache.spark.sql.hive.HiveFunctionRegistry$$anonfun$1.apply(hiveUdfs.scala:55)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.sql.hive.HiveFunctionRegistry.lookupFunction(hiveUdfs.scala:54)
> at org.apache.spark.sql.hive.HiveContext$$anon$4.org$apache$spark$sql$catalyst$analysis$OverrideFunctionRegistry$$super$lookupFunction(HiveContext.scala:267)
> at org.apache.spark.sql.catalyst.analysis.OverrideFunctionRegistry$$anonfun$lookupFunction$2.apply(FunctionRegistry.scala:43)
> at org.apache.spark.sql.catalyst.analysis.OverrideFunctionRegistry$$anonfun$lookupFunction$2.apply(FunctionRegistry.scala:43)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.sql.catalyst.analysis.OverrideFunctionRegistry$class.lookupFunction(FunctionRegistry.scala:43)
> at org.apache.spark.sql.hive.HiveContext$$anon$4.lookupFunction(HiveContext.scala:267)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$12$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:431)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveFunctions$$anonfun$apply$12$$anonfun$applyOrElse$3.applyOrElse(Analyzer.scala:429)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:51)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:187)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:208)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> [...]
> {code}
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