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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2015/08/11 20:35:46 UTC
[jira] [Assigned] (SPARK-9831) TPCDS Q73 Fails
[ https://issues.apache.org/jira/browse/SPARK-9831?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu reassigned SPARK-9831:
---------------------------------
Assignee: Davies Liu
> TPCDS Q73 Fails
> ---------------
>
> Key: SPARK-9831
> URL: https://issues.apache.org/jira/browse/SPARK-9831
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Michael Armbrust
> Assignee: Davies Liu
> Priority: Blocker
>
> {code}
> select c_last_name
> ,c_first_name
> ,c_salutation
> ,c_preferred_cust_flag
> ,ss_ticket_number
> ,cnt from
> (select ss_ticket_number
> ,ss_customer_sk
> ,count(*) cnt
> from store_sales
> JOIN date_dim ON store_sales.ss_sold_date_sk = date_dim.d_date_sk
> JOIN store ON store_sales.ss_store_sk = store.s_store_sk
> JOIN household_demographics ON store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
> where
> date_dim.d_dom between 1 and 2
> and (household_demographics.hd_buy_potential = '>10000' or
> household_demographics.hd_buy_potential = 'unknown')
> and household_demographics.hd_vehicle_count > 0
> and case when household_demographics.hd_vehicle_count > 0 then
> household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1
> and date_dim.d_year in (1998,1998+1,1998+2)
> and store.s_county in ('Williamson County','Williamson County','Williamson County','Williamson County')
> group by ss_ticket_number,ss_customer_sk) dj
> JOIN customer ON dj.ss_customer_sk = customer.c_customer_sk
> where
> cnt between 5 and 10
> order by cnt desc
> {code}
> {code}
> Job aborted due to stage failure: Task 63 in stage 57.0 failed 4 times, most recent failure: Lost task 63.3 in stage 57.0 (TID 5103, 10.0.197.102): java.io.IOException: java.lang.IllegalArgumentException: Initial capacity must be greater than 0
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1264)
> at org.apache.spark.sql.execution.joins.UnsafeHashedRelation.readExternal(HashedRelation.scala:280)
> at java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1837)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1796)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
> at org.apache.spark.broadcast.TorrentBroadcast$.unBlockifyObject(TorrentBroadcast.scala:217)
> at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:178)
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1276)
> at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
> at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
> at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
> at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
> at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
> at org.apache.spark.sql.execution.joins.BroadcastHashJoin$$anonfun$2.apply(BroadcastHashJoin.scala:91)
> at org.apache.spark.sql.execution.joins.BroadcastHashJoin$$anonfun$2.apply(BroadcastHashJoin.scala:90)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:706)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.IllegalArgumentException: Initial capacity must be greater than 0
> at org.apache.spark.unsafe.map.BytesToBytesMap.<init>(BytesToBytesMap.java:185)
> at org.apache.spark.unsafe.map.BytesToBytesMap.<init>(BytesToBytesMap.java:203)
> at org.apache.spark.sql.execution.joins.UnsafeHashedRelation$$anonfun$readExternal$1.apply$mcV$sp(HashedRelation.scala:295)
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1261)
> ... 40 more
> {code}
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