Details

    • Sub-task
    • Status: Resolved
    • Blocker
    • Resolution: Fixed
    • None
    • 1.5.0
    • SQL
    • None
    • Spark 1.5 doc/QA sprint

    Description

      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 household_demographics on (store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk)
          join store on (store_sales.ss_store_sk = store.s_store_sk)
          -- join date_dim on (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
        where
          store.s_county in ('Saginaw County', 'Sumner County', 'Appanoose County', 'Daviess County')
          -- and date_dim.d_dom between 1 and 2
          -- and date_dim.d_year in(1998, 1998 + 1, 1998 + 2)
          -- and ss_date between '1999-01-01' and '2001-12-02'
          -- and dayofmonth(ss_date) in (1,2)
          -- partition key filter
          -- and ss_sold_date_sk in (2450816, 2450846, 2450847, 2450874, 2450875, 2450905, 2450906, 2450935, 2450936, 2450966, 2450967,
          --                         2450996, 2450997, 2451027, 2451028, 2451058, 2451059, 2451088, 2451089, 2451119, 2451120, 2451149,
          --                         2451150, 2451180, 2451181, 2451211, 2451212, 2451239, 2451240, 2451270, 2451271, 2451300, 2451301,
          --                         2451331, 2451332, 2451361, 2451362, 2451392, 2451393, 2451423, 2451424, 2451453, 2451454, 2451484,
          --                         2451485, 2451514, 2451515, 2451545, 2451546, 2451576, 2451577, 2451605, 2451606, 2451636, 2451637,
          --                         2451666, 2451667, 2451697, 2451698, 2451727, 2451728, 2451758, 2451759, 2451789, 2451790, 2451819,
          --                         2451820, 2451850, 2451851, 2451880, 2451881)
          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 ss_sold_date_sk between 2451180 and 2451269 -- partition key filter (3 months)
        group by
          ss_ticket_number,
          ss_customer_sk
        ) dj
        join customer on (dj.ss_customer_sk = customer.c_customer_sk)
      where
        cnt between 1 and 5
      order by
        cnt desc
      limit 1000
      
      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
      

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            davies Davies Liu
            marmbrus Michael Armbrust
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            Dates

              Created:
              Updated:
              Resolved: