[HIVE-17225] HoS DPP pruning sink ops can target parallel work objects - ASF JIRA

Details

Type: Sub-task
Status: Closed
Priority: Major
Resolution: Fixed
Affects Version/s: 3.0.0
Fix Version/s: 3.0.0
Component/s: Spark
Labels:
None

Target Version/s:

3.0.0

Description

Setup:

SET hive.spark.dynamic.partition.pruning=true;
SET hive.strict.checks.cartesian.product=false;
SET hive.auto.convert.join=true;

CREATE TABLE partitioned_table1 (col int) PARTITIONED BY (part_col int);

CREATE TABLE regular_table1 (col int);
CREATE TABLE regular_table2 (col int);

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 regular_table1 VALUES (1), (2), (3), (4), (5), (6);
INSERT INTO table regular_table2 VALUES (1), (2), (3), (4), (5), (6);

INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 1) VALUES (1);
INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 2) VALUES (2);
INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 3) VALUES (3);

SELECT *
FROM   partitioned_table1,
       regular_table1 rt1,
       regular_table2 rt2
WHERE  rt1.col = partitioned_table1.part_col
       AND rt2.col = partitioned_table1.part_col;

Exception:

2017-08-01T13:27:47,483 ERROR [b0d354a8-4cdb-4ba9-acec-27d14926aaf4 main] ql.Driver: FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.spark.SparkTask. java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist
	at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:408)
	at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:498)
	at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.immutable.List.map(List.scala:285)
	at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.immutable.List.map(List.scala:285)
	at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.immutable.List.map(List.scala:285)
	at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:246)
	at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:127)
	at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:125)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
	at org.apache.spark.rdd.AsyncRDDActions.foreachAsync(AsyncRDDActions.scala:125)
	at org.apache.spark.api.java.JavaRDDLike$class.foreachAsync(JavaRDDLike.scala:731)
	at org.apache.spark.api.java.AbstractJavaRDDLike.foreachAsync(JavaRDDLike.scala:45)
	at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:351)
	at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:358)
	at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:323)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist
	at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:147)
	at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.prune(SparkDynamicPartitionPruner.java:76)
	at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:406)
	... 62 more
Caused by: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist
	at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:431)
	at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1517)
	at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1557)
	at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:674)
	at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:119)
	... 64 more

The explain plan for the query is:

STAGE DEPENDENCIES:
  Stage-2 is a root stage
  Stage-1 depends on stages: Stage-2
  Stage-0 depends on stages: Stage-1

STAGE PLANS:
  Stage: Stage-2
    Spark
      DagName: stakiar_20170801202453_5376c59d-2eca-47ca-94bc-a3049f7fbd0a:39
      Vertices:
        Map 1 
            Map Operator Tree:
                TableScan
                  alias: partitioned_table1
                  Statistics: Num rows: 3 Data size: 3 Basic stats: COMPLETE Column stats: NONE
                  Select Operator
                    expressions: col (type: int), part_col (type: int)
                    outputColumnNames: _col0, _col1
                    Statistics: Num rows: 3 Data size: 3 Basic stats: COMPLETE Column stats: NONE
                    Spark HashTable Sink Operator
                      keys:
                        0 _col1 (type: int)
                        1 _col0 (type: int)
                        2 _col0 (type: int)
            Local Work:
              Map Reduce Local Work
        Map 3 
            Map Operator Tree:
                TableScan
                  alias: rt2
                  Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                  Filter Operator
                    predicate: col is not null (type: boolean)
                    Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                    Select Operator
                      expressions: col (type: int)
                      outputColumnNames: _col0
                      Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                      Spark HashTable Sink Operator
                        keys:
                          0 _col1 (type: int)
                          1 _col0 (type: int)
                          2 _col0 (type: int)
                      Select Operator
                        expressions: _col0 (type: int)
                        outputColumnNames: _col0
                        Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                        Group By Operator
                          keys: _col0 (type: int)
                          mode: hash
                          outputColumnNames: _col0
                          Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                          Spark Partition Pruning Sink Operator
                            partition key expr: part_col
                            Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                            target column name: part_col
                            target work: Map 1
            Local Work:
              Map Reduce Local Work

  Stage: Stage-1
    Spark
      DagName: stakiar_20170801202453_5376c59d-2eca-47ca-94bc-a3049f7fbd0a:38
      Vertices:
        Map 2 
            Map Operator Tree:
                TableScan
                  alias: rt1
                  Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                  Filter Operator
                    predicate: col is not null (type: boolean)
                    Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                    Select Operator
                      expressions: col (type: int)
                      outputColumnNames: _col0
                      Statistics: Num rows: 6 Data size: 6 Basic stats: COMPLETE Column stats: NONE
                      Map Join Operator
                        condition map:
                             Inner Join 0 to 1
                             Inner Join 0 to 2
                        keys:
                          0 _col1 (type: int)
                          1 _col0 (type: int)
                          2 _col0 (type: int)
                        outputColumnNames: _col0, _col1, _col2, _col3
                        input vertices:
                          0 Map 1
                          2 Map 3
                        Statistics: Num rows: 13 Data size: 13 Basic stats: COMPLETE Column stats: NONE
                        File Output Operator
                          compressed: false
                          Statistics: Num rows: 13 Data size: 13 Basic stats: COMPLETE Column stats: NONE
                          table:
                              input format: org.apache.hadoop.mapred.SequenceFileInputFormat
                              output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
                              serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
            Local Work:
              Map Reduce Local Work

  Stage: Stage-0
    Fetch Operator
      limit: -1
      Processor Tree:
        ListSink

Attachments

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HIVE-17225.6.patch
03/Sep/17 18:15
89 kB
Sahil Takiar
HIVE-17225.5.patch
02/Sep/17 17:14
72 kB
Sahil Takiar
HIVE-17225.4.patch
30/Aug/17 01:40
72 kB
Sahil Takiar
HIVE-17225.3.patch
26/Aug/17 17:06
72 kB
Sahil Takiar
HIVE-17225.2.patch
26/Aug/17 05:37
72 kB
Sahil Takiar
HIVE17225.1.patch
15/Aug/17 22:51
119 kB
Janaki Lahorani

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HoS DPP pruning sink ops can target parallel work objects

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