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https://issues.apache.org/jira/browse/HIVE-17087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sahil Takiar reassigned HIVE-17087:
-----------------------------------
> HoS Query with multiple Partition Pruning Sinks + subquery has incorrect
> explain
> --------------------------------------------------------------------------------
>
> Key: HIVE-17087
> URL: https://issues.apache.org/jira/browse/HIVE-17087
> Project: Hive
> Issue Type: Sub-task
> Reporter: Sahil Takiar
> Assignee: Sahil Takiar
>
> Ran the following query in the {{TestSparkCliDriver}}:
> {code:sql}
> set hive.spark.dynamic.partition.pruning=true;
> set hive.auto.convert.join=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 regular_table (col int);
> insert into table regular_table values (1);
> alter table partitioned_table1 add partition (part_col = 1);
> insert into table partitioned_table1 partition (part_col = 1) values (1),
> (2), (3), (4), (5), (6), (7), (8), (9), (10);
> alter table partitioned_table2 add partition (part_col = 1);
> insert into table partitioned_table2 partition (part_col = 1) values (1),
> (2), (3), (4), (5), (6), (7), (8), (9), (10);
> explain select * from partitioned_table1 where partitioned_table1.part_col in
> (select regular_table.col from regular_table join partitioned_table2 on
> regular_table.col = partitioned_table2.part_col);
> {code}
> and got the following explain plan:
> {code}
> STAGE DEPENDENCIES:
> Stage-2 is a root stage
> Stage-4 depends on stages: Stage-2
> Stage-5 depends on stages: Stage-4
> Stage-3 depends on stages: Stage-5
> Stage-1 depends on stages: Stage-3
> Stage-0 depends on stages: Stage-1
> STAGE PLANS:
> Stage: Stage-2
> Spark
> #### A masked pattern was here ####
> Vertices:
> Map 4
> Map Operator Tree:
> TableScan
> alias: partitioned_table1
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: col (type: int), part_col (type: int)
> outputColumnNames: _col0, _col1
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: _col1 (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
> partition key expr: part_col
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> target column name: part_col
> target work: Map 3
> Stage: Stage-4
> Spark
> #### A masked pattern was here ####
> Vertices:
> Map 2
> Map Operator Tree:
> TableScan
> alias: regular_table
> Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE
> Column stats: NONE
> Filter Operator
> predicate: col is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: col (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Spark HashTable Sink Operator
> keys:
> 0 _col0 (type: int)
> 1 _col0 (type: int)
> Select Operator
> expressions: _col0 (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: int)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Spark Partition Pruning Sink Operator
> partition key expr: part_col
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> target column name: part_col
> target work: Map 3
> Local Work:
> Map Reduce Local Work
> Stage: Stage-5
> Spark
> #### A masked pattern was here ####
> Stage: Stage-3
> Spark
> #### A masked pattern was here ####
> Vertices:
> Map 3
> Map Operator Tree:
> TableScan
> alias: partitioned_table2
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: part_col (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> Map Join Operator
> condition map:
> Inner Join 0 to 1
> keys:
> 0 _col0 (type: int)
> 1 _col0 (type: int)
> outputColumnNames: _col0
> input vertices:
> 0 Map 2
> Statistics: Num rows: 11 Data size: 12 Basic stats:
> COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: int)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 11 Data size: 12 Basic stats:
> COMPLETE Column stats: NONE
> Spark HashTable Sink Operator
> keys:
> 0 _col1 (type: int)
> 1 _col0 (type: int)
> Local Work:
> Map Reduce Local Work
> Stage: Stage-1
> Spark
> #### A masked pattern was here ####
> Vertices:
> Map 1
> Map Operator Tree:
> TableScan
> alias: partitioned_table1
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: col (type: int), part_col (type: int)
> outputColumnNames: _col0, _col1
> Statistics: Num rows: 10 Data size: 11 Basic stats:
> COMPLETE Column stats: NONE
> Map Join Operator
> condition map:
> Left Semi Join 0 to 1
> keys:
> 0 _col1 (type: int)
> 1 _col0 (type: int)
> outputColumnNames: _col0, _col1
> input vertices:
> 1 Map 3
> Statistics: Num rows: 12 Data size: 13 Basic stats:
> COMPLETE Column stats: NONE
> File Output Operator
> compressed: false
> Statistics: Num rows: 12 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
> {code}
> I see a couple of weird things in the above explain plan:
> * I don't think there should be a partitioned_table1 scan -> Spark Partition
> Pruning Sink
> * I'm not sure what is happening with Stage-5 of the explain plan
> For reference, here is the explain plan for the equivalent query in
> Hive-on-Tez:
> {code}
> STAGE DEPENDENCIES:
> Stage-1 is a root stage
> Stage-0 depends on stages: Stage-1
> STAGE PLANS:
> Stage: Stage-1
> Tez
> #### A masked pattern was here ####
> Edges:
> Map 1 <- Map 3 (BROADCAST_EDGE)
> Map 3 <- Map 2 (BROADCAST_EDGE)
> #### A masked pattern was here ####
> Vertices:
> Map 1
> Map Operator Tree:
> TableScan
> alias: partitioned_table1
> Statistics: Num rows: 10 Data size: 51 Basic stats:
> COMPLETE Column stats: PARTIAL
> Select Operator
> expressions: col (type: int), part_col (type: int)
> outputColumnNames: _col0, _col1
> Statistics: Num rows: 10 Data size: 40 Basic stats:
> COMPLETE Column stats: PARTIAL
> Map Join Operator
> condition map:
> Left Semi Join 0 to 1
> keys:
> 0 _col1 (type: int)
> 1 _col0 (type: int)
> outputColumnNames: _col0, _col1
> input vertices:
> 1 Map 3
> Statistics: Num rows: 12 Data size: 48 Basic stats:
> COMPLETE Column stats: NONE
> File Output Operator
> compressed: false
> Statistics: Num rows: 12 Data size: 48 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
> Execution mode: llap
> LLAP IO: no inputs
> Map 2
> Map Operator Tree:
> TableScan
> alias: regular_table
> Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE
> Column stats: NONE
> Filter Operator
> predicate: col is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: col (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 1 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: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: _col0 (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: int)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Dynamic Partitioning Event Operator
> Target column: part_col (int)
> Target Input: partitioned_table2
> Partition key expr: part_col
> Statistics: Num rows: 1 Data size: 1 Basic stats:
> COMPLETE Column stats: NONE
> Target Vertex: Map 3
> Execution mode: llap
> LLAP IO: no inputs
> Map 3
> Map Operator Tree:
> TableScan
> alias: partitioned_table2
> Statistics: Num rows: 10 Data size: 51 Basic stats:
> COMPLETE Column stats: COMPLETE
> Select Operator
> expressions: part_col (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 10 Data size: 40 Basic stats:
> COMPLETE Column stats: COMPLETE
> Map Join Operator
> condition map:
> Inner Join 0 to 1
> keys:
> 0 _col0 (type: int)
> 1 _col0 (type: int)
> outputColumnNames: _col0
> input vertices:
> 0 Map 2
> Statistics: Num rows: 11 Data size: 44 Basic stats:
> COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: int)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 11 Data size: 44 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: 11 Data size: 44 Basic stats:
> COMPLETE Column stats: NONE
> Select Operator
> expressions: _col0 (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 11 Data size: 44 Basic stats:
> COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: int)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 11 Data size: 44 Basic
> stats: COMPLETE Column stats: NONE
> Dynamic Partitioning Event Operator
> Target column: part_col (int)
> Target Input: partitioned_table1
> Partition key expr: part_col
> Statistics: Num rows: 11 Data size: 44 Basic
> stats: COMPLETE Column stats: NONE
> Target Vertex: Map 1
> Execution mode: llap
> LLAP IO: no inputs
> Stage: Stage-0
> Fetch Operator
> limit: -1
> Processor Tree:
> ListSink
> {code}
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