[
https://issues.apache.org/jira/browse/HIVE-17219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16119175#comment-16119175
]
Sahil Takiar commented on HIVE-17219:
-------------------------------------
Issue is that the explain plan contains the following:
{code}
Map 5
Map Operator Tree:
TableScan
alias: partitioned_table3
Statistics: Num rows: 10 Data size: 11 Basic stats: COMPLETE
Column stats: NONE
Filter Operator
predicate: col is not null (type: boolean)
Statistics: Num rows: 10 Data size: 11 Basic stats:
COMPLETE Column stats: NONE
Select Operator
expressions: col (type: int)
outputColumnNames: _col0
Statistics: Num rows: 10 Data size: 11 Basic stats:
COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 10 Data size: 11 Basic stats:
COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int)
outputColumnNames: _col0
Statistics: Num rows: 10 Data size: 11 Basic stats:
COMPLETE Column stats: NONE
Group By Operator
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 10 Data size: 11 Basic stats:
COMPLETE Column stats: NONE
Spark Partition Pruning Sink Operator
Target column: part_col (int)
partition key expr: part_col
Statistics: Num rows: 10 Data size: 11 Basic stats:
COMPLETE Column stats: NONE
{code}
The {{Spark Partition Pruning Sink Operator}} shouldn't be there. It doesn't
contain a target work or tmp file, which is what causes the NPE at runtime.
> 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
> Components: Spark
> 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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
