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Posted to dev@hive.apache.org by "Sahil Takiar (JIRA)" <ji...@apache.org> on 2017/07/13 21:33:00 UTC
[jira] [Created] (HIVE-17087) HoS Query with multiple Partition
Pruning Sinks + subquery has incorrect explain
Sahil Takiar created HIVE-17087:
-----------------------------------
Summary: 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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