JoneZhang created HIVE-12736:
--------------------------------
Summary: It seems that result of Hive on Spark is mistake And
result of Hive and Hive on Spark are not the same
Key: HIVE-12736
URL: https://issues.apache.org/jira/browse/HIVE-12736
Project: Hive
Issue Type: Bug
Affects Versions: 1.2.1, 1.1.1
Reporter: JoneZhang
select * from staff;
1 jone 22 1
2 lucy 21 1
3 hmm 22 2
4 james 24 3
5 xiaoliu 23 3
select id,date_ from trade union all select id,"test" from trade ;
1 201510210908
2 201509080234
2 201509080235
1 test
2 test
2 test
set hive.execution.engine=spark;
set spark.master=local;
select /*+mapjoin(t)*/ * from staff s join
(select id,date_ from trade union all select id,"test" from trade ) t on
s.id=t.id;
1 jone 22 1 1 201510210908
2 lucy 21 1 2 201509080234
2 lucy 21 1 2 201509080235
set hive.execution.engine=mr;
select /*+mapjoin(t)*/ * from staff s join
(select id,date_ from trade union all select id,"test" from trade ) t on
s.id=t.id;
FAILED: SemanticException [Error 10227]: Not all clauses are supported with
mapjoin hint. Please remove mapjoin hint.
I have two questions
1.Why result of hive on spark not include the following record?
1 jone 22 1 1 test
2 lucy 21 1 2 test
2 lucy 21 1 2 test
2.Why there are two different ways of dealing same query?
explain 1:
set hive.execution.engine=spark;
set spark.master=local;
explain
select id,date_ from trade union all select id,"test" from trade;
OK
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
STAGE PLANS:
Stage: Stage-1
Spark
DagName: jonezhang_20151222191643_5301d90a-caf0-4934-8092-d165c87a4190:1
Vertices:
Map 1
Map Operator Tree:
TableScan
alias: trade
Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE
Column stats: NONE
Select Operator
expressions: id (type: int), date_ (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE
Column stats: NONE
File Output Operator
compressed: false
Statistics: Num rows: 12 Data size: 96 Basic stats:
COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format:
org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
serde:
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Map 2
Map Operator Tree:
TableScan
alias: trade
Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE
Column stats: NONE
Select Operator
expressions: id (type: int), 'test' (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE
Column stats: NONE
File Output Operator
compressed: false
Statistics: Num rows: 12 Data size: 96 Basic stats:
COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format:
org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
serde:
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Stage: Stage-0
Fetch Operator
limit: -1
Processor Tree:
ListSink
explain 2:
set hive.execution.engine=spark;
set spark.master=local;
explain
select /*+mapjoin(t)*/ * from staff s join
(select id,date_ from trade union all select id,"test" from trade ) t on
s.id=t.id;
OK
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: jonezhang_20151222191716_be7eac84-b5b6-4478-b88f-9f59e2b1b1a8:3
Vertices:
Map 1
Map Operator Tree:
TableScan
alias: trade
Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE
Column stats: NONE
Filter Operator
predicate: id is not null (type: boolean)
Statistics: Num rows: 3 Data size: 24 Basic stats: COMPLETE
Column stats: NONE
Select Operator
expressions: id (type: int), date_ (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 3 Data size: 24 Basic stats:
COMPLETE Column stats: NONE
Spark HashTable Sink Operator
keys:
0 id (type: int)
1 _col0 (type: int)
Local Work:
Map Reduce Local Work
Stage: Stage-1
Spark
DagName: jonezhang_20151222191716_be7eac84-b5b6-4478-b88f-9f59e2b1b1a8:2
Vertices:
Map 2
Map Operator Tree:
TableScan
alias: s
Statistics: Num rows: 1 Data size: 66 Basic stats: COMPLETE
Column stats: NONE
Filter Operator
predicate: id is not null (type: boolean)
Statistics: Num rows: 1 Data size: 66 Basic stats: COMPLETE
Column stats: NONE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 id (type: int)
1 _col0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col7,
_col8
input vertices:
1 Map 1
Statistics: Num rows: 6 Data size: 52 Basic stats:
COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int), _col1 (type: string),
_col2 (type: int), _col3 (type: int), _col7 (type: int), _col8 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4,
_col5
Statistics: Num rows: 6 Data size: 52 Basic stats:
COMPLETE Column stats: NONE
File Output Operator
compressed: false
Statistics: Num rows: 6 Data size: 52 Basic stats:
COMPLETE Column stats: NONE
table:
input format:
org.apache.hadoop.mapred.TextInputFormat
output format:
org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
serde:
org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Local Work:
Map Reduce Local Work
Stage: Stage-0
Fetch Operator
limit: -1
Processor Tree:
ListSink
I can't find any information about union "test" in explain 2.
Some properties on hive-site.xml is
<property>
<name>hive.ignore.mapjoin.hint</name>
<value>false</value>
</property>
<property>
<name>hive.auto.convert.join</name>
<value>true</value>
</property>
<property>
<name>hive.auto.convert.join.noconditionaltask</name>
<value>true</value>
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)