Hi Jerry,
To add to your question:
Following does work (from master)- notice the registerAsTable is commented
: (I took a liberty to add the "order by" clause)
val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
import hiveContext._
hql("USE test")
// hql("select id from m").registerAsTable("m")
val res = hql("select s.id from m join s on (s.id=m.id) order by s.id
").collect.foreach(println)
res: Array[org.apache.spark.sql.Row] = Array([1], [2], [3], [4], [5], [6],
[7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19],
[20])
But when the table is registered I see a different error than you reported:
val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
import hiveContext._
hql("USE test")
hql("select id from m").registerAsTable("m")
val res = hql("select s.id from m join s on (s.id=m.id) order by s.id
").collect.foreach(println)
14/07/10 13:43:23 INFO ParseDriver: Parsing command: select s.id from m
join s on (s.id=m.id) order by s.id
14/07/10 13:43:23 INFO ParseDriver: Parse Completed
14/07/10 13:43:23 INFO Analyzer: Max iterations (2) reached for batch
MultiInstanceRelations
14/07/10 13:43:23 INFO Analyzer: Max iterations (2) reached for batch
CaseInsensitiveAttributeReferences
java.lang.StackOverflowError
at scala.collection.AbstractIterator.seq(Iterator.scala:1157)
at scala.collection.AbstractIterator.seq(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)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:212)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:168)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:183)
at scala.collection.Iterator$$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)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:212)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:170)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:183)
at scala.collection.Iterator$$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)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:212)
I am interested in this and will look further.
2014-07-10 8:15 GMT-07:00 Jerry Lam <chiling...@gmail.com>:
> Hi Spark developers,
>
> I have the following hqls that spark will throw exceptions of this kind:
> 14/07/10 15:07:55 INFO TaskSetManager: Loss was due to
> org.apache.spark.TaskKilledException [duplicate 17]
> org.apache.spark.SparkException: Job aborted due to stage failure: Task
> 0.0:736 failed 4 times, most recent failure: Exception failure in TID 167
> on host etl2-node05:
> org.apache.spark.sql.catalyst.errors.package$TreeNodeException: No function
> to evaluate expression. type: UnresolvedAttribute, tree: 'm.id
>
> org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.eval(unresolved.scala:59)
>
> org.apache.spark.sql.catalyst.expressions.Equals.eval(predicates.scala:151)
>
> org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$1.apply(basicOperators.scala:52)
>
> org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$1.apply(basicOperators.scala:52)
> scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$class.foreach(Iterator.scala:727)
> scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> scala.collection.TraversableOnce$class.to
> (TraversableOnce.scala:273)
> scala.collection.AbstractIterator.to(Iterator.scala:1157)
>
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:717)
> org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:717)
>
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1080)
>
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1080)
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
> org.apache.spark.scheduler.Task.run(Task.scala:51)
>
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
> java.lang.Thread.run(Thread.java:662)
>
> The hql looks like this (I trimmed the hql down to the essentials to
> demonstrate the potential bugs, the actual join is more complex and
> irrelevant to the bug):
>
> val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
> import hiveContext._
> hql("USE test")
> hql("select id from m").registerAsTable("m")
> hql("select s.id from m join s on (s.id=m.id)").collect().foreach(println)
>
> Apparently, spark is unable to understand the m.id in the "(s.id=m.id)".
> If I change it to:
> hql("select m_id from m").registerAsTable("m")
> hql("select s.id from m join s on (s.id=m_id)").collect().foreach(println)
>
> It will work. Am I doing something wrong or it is a bug in spark sql?
>
> Best Regards,
>
> Jerry
>
>
