[jira] [Created] (HIVE-17219) NPE in SparkPartitionPruningSinkOperator#closeOp for query with partitioned join in subquery

["Sahil Takiar (JIRA)" <ji...@apache.org>]

Sahil Takiar created HIVE-17219:
-----------------------------------

             Summary: NPE in SparkPartitionPruningSinkOperator#closeOp for query with partitioned join in subquery
                 Key: HIVE-17219
                 URL: https://issues.apache.org/jira/browse/HIVE-17219
             Project: Hive
          Issue Type: Sub-task
    Affects Versions: 3.0.0
            Reporter: Sahil Takiar
            Assignee: Sahil Takiar


The following query: {{select * from partitioned_table1 where partitioned_table1.part_col in (select partitioned_table2.col from partitioned_table2 join partitioned_table3 on partitioned_table3.col = partitioned_table2.part_col)}} throws a NPE in {{SparkPartitionPruningSinkOperator#closeOp}}

The full stack trace is:

{code}
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 22.0 failed 4 times, most recent failure: Lost task 1.3 in stage 22.0 (TID 37, 10.16.1.179): java.lang.IllegalStateException: Hit error while closing operators - failing tree: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.NullPointerException
        at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.close(SparkMapRecordHandler.java:194)
        at org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.closeRecordProcessor(HiveMapFunctionResultList.java:58)
        at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:96)
        at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:147)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
        at org.apache.spark.scheduler.Task.run(Task.scala:85)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.NullPointerException
        at org.apache.hadoop.hive.ql.parse.spark.SparkPartitionPruningSinkOperator.closeOp(SparkPartitionPruningSinkOperator.java:95)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:709)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:723)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:723)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:723)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:723)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:723)
        at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:723)
        at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.close(SparkMapRecordHandler.java:171)
        ... 11 more
Caused by: java.lang.NullPointerException
        at org.apache.hadoop.hive.ql.parse.spark.SparkPartitionPruningSinkOperator.flushToFile(SparkPartitionPruningSinkOperator.java:151)
        at org.apache.hadoop.hive.ql.parse.spark.SparkPartitionPruningSinkOperator.closeOp(SparkPartitionPruningSinkOperator.java:93)
        ... 19 more
{code}

The full setup is:

{code}
set hive.spark.dynamic.partition.pruning=true;

create table partitioned_table1 (col int) partitioned by (part_col int);
create table partitioned_table2 (col int) partitioned by (part_col int);
create table partitioned_table3 (col int) partitioned by (part_col int);
create table regular_table (col1 int, col2 int);

insert into table regular_table values (0, 0), (1, 1), (2, 2);

alter table partitioned_table1 add partition (part_col = 1);
alter table partitioned_table1 add partition (part_col = 2);
alter table partitioned_table1 add partition (part_col = 3);

insert into table partitioned_table1 partition (part_col = 1) values (1), (2), (3);
insert into table partitioned_table1 partition (part_col = 2) values (1), (2), (3);
insert into table partitioned_table1 partition (part_col = 3) values (1), (2), (3);

alter table partitioned_table2 add partition (part_col = 1);
alter table partitioned_table2 add partition (part_col = 2);
alter table partitioned_table2 add partition (part_col = 3);

insert into table partitioned_table2 partition (part_col = 1) values (1), (2), (3);
insert into table partitioned_table2 partition (part_col = 2) values (1), (2), (3);
insert into table partitioned_table2 partition (part_col = 3) values (1), (2), (3);

alter table partitioned_table3 add partition (part_col = 1);
alter table partitioned_table3 add partition (part_col = 2);
alter table partitioned_table3 add partition (part_col = 3);

insert into table partitioned_table3 partition (part_col = 1) values (1), (2), (3);
insert into table partitioned_table3 partition (part_col = 2) values (1), (2), (3);
insert into table partitioned_table3 partition (part_col = 3) values (1), (2), (3);

select * from partitioned_table1 where partitioned_table1.part_col in (select partitioned_table2.col from partitioned_table2 join partitioned_table3 on partitioned_table3.col = partitioned_table2.part_col);
{code}

Doesn't seem to happen when map-joins are enabled.



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