Josh Rosen created SPARK-9183:
---------------------------------
Summary: 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
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}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
