Potential bugs in SparkSQL
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
Re: Potential bugs in SparkSQL
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
Re: Potential bugs in SparkSQL
Hi Jerry, Thanks for reporting this. It would be helpful if you could provide the output of the following command: println(hql(select s.id from m join s on (s.id=m_id)).queryExecution) Michael On Thu, Jul 10, 2014 at 8:15 AM, Jerry Lam chiling...@gmail.com wrote: 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
Re: Potential bugs in SparkSQL
Hi Michael, I got the log you asked for. Note that I manually edited the table name and the field names to hide some sensitive information. == Logical Plan == Project ['s.id] Join Inner, Some((id#106 = 'm.id)) Project [id#96 AS id#62] MetastoreRelation test, m, None MetastoreRelation test, s, Some(s) == Optimized Logical Plan == Project ['s.id] Join Inner, Some((id#106 = 'm.id)) Project [] MetastoreRelation test, m, None Project [id#106] MetastoreRelation test, s, Some(s) == Physical Plan == Project ['s.id] Filter (id#106:0 = 'm.id) CartesianProduct HiveTableScan [], (MetastoreRelation test, m, None), None HiveTableScan [id#106], (MetastoreRelation test, s, Some(s)), None Best Regards, Jerry On Thu, Jul 10, 2014 at 7:16 PM, Michael Armbrust mich...@databricks.com wrote: Hi Jerry, Thanks for reporting this. It would be helpful if you could provide the output of the following command: println(hql(select s.id from m join s on (s.id=m_id)).queryExecution) Michael On Thu, Jul 10, 2014 at 8:15 AM, Jerry Lam chiling...@gmail.com wrote: 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
Re: Potential bugs in SparkSQL
Hmm, yeah looks like the table name is not getting applied to the attributes of m. You can work around this by rewriting your query as: hql(select s.id from (SELECT * FROM m) m join s on (s.id=m.id) order by s.id This explicitly gives the alias m to the attributes of that table. You can also open a JIRA and we can look in to the root cause in more detail. Michael On Thu, Jul 10, 2014 at 5:45 PM, Jerry Lam chiling...@gmail.com wrote: Hi Michael, I got the log you asked for. Note that I manually edited the table name and the field names to hide some sensitive information. == Logical Plan == Project ['s.id] Join Inner, Some((id#106 = 'm.id)) Project [id#96 AS id#62] MetastoreRelation test, m, None MetastoreRelation test, s, Some(s) == Optimized Logical Plan == Project ['s.id] Join Inner, Some((id#106 = 'm.id)) Project [] MetastoreRelation test, m, None Project [id#106] MetastoreRelation test, s, Some(s) == Physical Plan == Project ['s.id] Filter (id#106:0 = 'm.id) CartesianProduct HiveTableScan [], (MetastoreRelation test, m, None), None HiveTableScan [id#106], (MetastoreRelation test, s, Some(s)), None Best Regards, Jerry On Thu, Jul 10, 2014 at 7:16 PM, Michael Armbrust mich...@databricks.com wrote: Hi Jerry, Thanks for reporting this. It would be helpful if you could provide the output of the following command: println(hql(select s.id from m join s on (s.id=m_id)).queryExecution) Michael On Thu, Jul 10, 2014 at 8:15 AM, Jerry Lam chiling...@gmail.com wrote: 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
