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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/08/11 20:22:48 UTC
[jira] [Created] (SPARK-9831) TPCDS Q73 Fails
Michael Armbrust created SPARK-9831:
---------------------------------------
Summary: 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
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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