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Posted to issues@spark.apache.org by "Yael Aharon (JIRA)" <ji...@apache.org> on 2016/03/04 17:42:40 UTC
[jira] [Comment Edited] (SPARK-13680) Java UDAF with more than one
intermediate argument returns wrong results
[ https://issues.apache.org/jira/browse/SPARK-13680?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15180120#comment-15180120 ]
Yael Aharon edited comment on SPARK-13680 at 3/4/16 4:42 PM:
-------------------------------------------------------------
I found this in the spark executor logs when running the MyDoubleAVG UDAF. Execution continued in spite of this exception:
java.lang.ClassCastException: org.apache.spark.sql.types.GenericArrayData cannot be cast to java.lang.Long
at scala.runtime.BoxesRunTime.unboxToLong(BoxesRunTime.java:110)
at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getLong(rows.scala:41)
at org.apache.spark.sql.catalyst.expressions.GenericMutableRow.getLong(rows.scala:247)
at org.apache.spark.sql.catalyst.expressions.JoinedRow.getLong(JoinedRow.scala:85)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply772_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown Source)
at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$11.apply(AggregationIterator.scala:174)
at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$11.apply(AggregationIterator.scala:171)
at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.processCurrentSortedGroup(SortBasedAggregationIterator.scala:100)
at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:139)
at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:30)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.insertAll(BypassMergeSortShuffleWriter.java:119)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:74)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
was (Author: yael):
I found this in the spark executor logs when running the MyDoubleAVG UDAF. Execution continued in spite of this exception:
java.lang.ClassCastException: org.apache.spark.sql.types.GenericArrayData cannot be cast to java.lang.Long
at scala.runtime.BoxesRunTime.unboxToLong(BoxesRunTime.java:110)
at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getLong(rows.scala:41)
at org.apache.spark.sql.catalyst.expressions.GenericMutableRow.getLong(rows.scala:247)
at org.apache.spark.sql.catalyst.expressions.JoinedRow.getLong(JoinedRow.scala:85)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply772_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown Source)
at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$11.apply(AggregationIterator.scala:174)
at org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$11.apply(AggregationIterator.scala:171)
at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.processCurrentSortedGroup(SortBasedAggregationIterator.scala:100)
at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:139)
at org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:30)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.insertAll(BypassMergeSortShuffleWriter.java:119)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:74)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
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:745)
> Java UDAF with more than one intermediate argument returns wrong results
> ------------------------------------------------------------------------
>
> Key: SPARK-13680
> URL: https://issues.apache.org/jira/browse/SPARK-13680
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Environment: CDH 5.5.2
> Reporter: Yael Aharon
> Attachments: data.csv
>
>
> I am trying to incorporate the Java UDAF from https://github.com/apache/spark/blob/master/sql/hive/src/test/java/org/apache/spark/sql/hive/aggregate/MyDoubleAvg.java into an SQL query.
> I registered the UDAF like this:
> sqlContext.udf().register("myavg", new MyDoubleAvg());
> My SQL query is:
> SELECT AVG(seqi) AS `avg_seqi`, AVG(seqd) AS `avg_seqd`, AVG(ci) AS `avg_ci`, AVG(cd) AS `avg_cd`, AVG(stdevd) AS `avg_stdevd`, AVG(stdevi) AS `avg_stdevi`, MAX(seqi) AS `max_seqi`, MAX(seqd) AS `max_seqd`, MAX(ci) AS `max_ci`, MAX(cd) AS `max_cd`, MAX(stdevd) AS `max_stdevd`, MAX(stdevi) AS `max_stdevi`, MIN(seqi) AS `min_seqi`, MIN(seqd) AS `min_seqd`, MIN(ci) AS `min_ci`, MIN(cd) AS `min_cd`, MIN(stdevd) AS `min_stdevd`, MIN(stdevi) AS `min_stdevi`,SUM(seqi) AS `sum_seqi`, SUM(seqd) AS `sum_seqd`, SUM(ci) AS `sum_ci`, SUM(cd) AS `sum_cd`, SUM(stdevd) AS `sum_stdevd`, SUM(stdevi) AS `sum_stdevi`, myavg(seqd) as `myavg_seqd`, AVG(zero) AS `avg_zero`, AVG(nulli) AS `avg_nulli`,AVG(nulld) AS `avg_nulld`, SUM(zero) AS `sum_zero`, SUM(nulli) AS `sum_nulli`,SUM(nulld) AS `sum_nulld`,MAX(zero) AS `max_zero`, MAX(nulli) AS `max_nulli`,MAX(nulld) AS `max_nulld`,count( * ) AS `count_all`, count(nulli) AS `count_nulli` FROM mytable
> As soon as I add the UDAF myavg to the SQL, all the results become incorrect. When I remove the call to the UDAF, the results are correct.
> I was able to go around the issue by modifying bufferSchema of the UDAF to use an array and the corresponding update and merge methods.
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