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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2014/10/13 22:37:33 UTC
[jira] [Resolved] (SPARK-2066) Better error message for
non-aggregated attributes with aggregates
[ https://issues.apache.org/jira/browse/SPARK-2066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust resolved SPARK-2066.
-------------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2774
[https://github.com/apache/spark/pull/2774]
> Better error message for non-aggregated attributes with aggregates
> ------------------------------------------------------------------
>
> Key: SPARK-2066
> URL: https://issues.apache.org/jira/browse/SPARK-2066
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.0.0
> Reporter: Reynold Xin
> Assignee: Cheng Lian
> Priority: Critical
> Fix For: 1.2.0
>
>
> [~marmbrus]
> Run the following query
> {code}
> scala> c.hql("select key, count(*) from src").collect()
> {code}
> Got the following exception at runtime
> {code}
> org.apache.spark.sql.catalyst.errors.package$TreeNodeException: No function to evaluate expression. type: AttributeReference, tree: key#61
> at org.apache.spark.sql.catalyst.expressions.AttributeReference.eval(namedExpressions.scala:157)
> at org.apache.spark.sql.catalyst.expressions.Projection.apply(Projection.scala:35)
> at org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$1.apply(Aggregate.scala:154)
> at org.apache.spark.sql.execution.Aggregate$$anonfun$execute$1$$anonfun$1.apply(Aggregate.scala:134)
> at org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:558)
> at org.apache.spark.rdd.RDD$$anonfun$12.apply(RDD.scala:558)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
> at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
> at org.apache.spark.scheduler.Task.run(Task.scala:51)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> {code}
> This should either fail in analysis time, or pass at runtime. Definitely shouldn't fail at runtime.
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