[
https://issues.apache.org/jira/browse/HIVE-21452?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zengxl updated HIVE-21452:
--------------------------
Description:
In our production environment, there are four tables to do association queries.
There are exists in the conditions, and we found that the first two conditions
were lost.
The following two conditions are missing：
{color:#f79232}t2.cust_no is null and t4.cust_level not in ('4','5'){color}
In the test environment, I prepared the data of the following four tables, and
a condition was lost in the simulation.
tables:
test_table1
cust_no,name
60001,lisa
60002,tina
60003,kylin
60004,jeny
60005,john
60006,jamse
test_table2
cust_no,acct_type
60001,1
60001,1
60001,2
60002,1
60003,2
60003,3
test_table3
cust_no
60001
60002
60003
60004
60005
60007
test_table4
cust_no,cust_level
60001,1
60002,2
60003,3
60004,4
60005,5
create table tmp.test_table1(cust_no string,name string);
create table tmp.test_table2(cust_no string,acct_type string);
create table tmp.test_table3(cust_no string);
create table tmp.test_table4(cust_no string,cust_level string);
insert into tmp.test_table1 select '60001','lisa';
insert into tmp.test_table1 select '60002','tina';
insert into tmp.test_table1 select '60003','kylin';
insert into tmp.test_table1 select '60004','jeny';
insert into tmp.test_table1 select '60005','john';
insert into tmp.test_table1 select '60006','jamse';
insert into tmp.test_table2 select '60001','1';
insert into tmp.test_table2 select '60001','1';
insert into tmp.test_table2 select '60001','2';
insert into tmp.test_table2 select '60002','1';
insert into tmp.test_table2 select '60003','2';
insert into tmp.test_table2 select '60002','3';
insert into tmp.test_table3 select '60001';
insert into tmp.test_table3 select '60002';
insert into tmp.test_table3 select '60003';
insert into tmp.test_table3 select '60004';
insert into tmp.test_table3 select '60005';
insert into tmp.test_table3 select '60007';
insert into tmp.test_table4 select '60001','1';
insert into tmp.test_table4 select '60002','2';
insert into tmp.test_table4 select '60003','3';
insert into tmp.test_table4 select '60004','4';
insert into tmp.test_table4 select '60005','5';
Here is my query SQL And shut down mapjoin:
set hive.auto.convert.join=false;
select t1.cust_no as cust_no,t2.cust_no as custNO,t1.name from tmp.test_table1
t1
left join tmp.test_table2 t2 on t1.cust_no=t2.cust_no
and t2.acct_type='1'
left join tmp.test_table4 t4 on t1.cust_no=t4.cust_no
where t2.cust_no is null and t4.cust_level not in ('4','5') and exists (select
1 from tmp.test_table3 t3 where t1.cust_no=t3.cust_no)
All I want is to include cust_no for 6003，But the result is inclusive 6004 and
6005，this wrong 。{color:#f79232}In my production environment, 6001 came
out。Loss of condition because cust_no is null。{color}
{color:#f6c342}View the execution plan, t4.cust_level not in ('4','5')
condition missing{color}
*{color:#f6c342}Explain:{color}*
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-2 depends on stages: Stage-1
Stage-0 depends on stages: Stage-2
STAGE PLANS:
Stage: Stage-1
Map Reduce
Map Operator Tree:
TableScan
alias: t1
Statistics: Num rows: 12 Data size: 2128 Basic stats: COMPLETE Column stats:
NONE
Filter Operator
predicate: cust_no is not null (type: boolean)
Statistics: Num rows: 6 Data size: 1064 Basic stats: COMPLETE Column stats:
NONE
Reduce Output Operator
key expressions: cust_no (type: string)
sort order: +
Map-reduce partition columns: cust_no (type: string)
Statistics: Num rows: 6 Data size: 1064 Basic stats: COMPLETE Column stats:
NONE
value expressions: name (type: string)
TableScan
alias: t2
Statistics: Num rows: 12 Data size: 2088 Basic stats: COMPLETE Column stats:
NONE
Filter Operator
predicate: ((acct_type = '1') and cust_no is not null) (type: boolean)
Statistics: Num rows: 3 Data size: 522 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: cust_no (type: string)
sort order: +
Map-reduce partition columns: cust_no (type: string)
Statistics: Num rows: 3 Data size: 522 Basic stats: COMPLETE Column stats: NONE
TableScan
alias: t4
Statistics: Num rows: 10 Data size: 1740 Basic stats: COMPLETE Column stats:
NONE
Filter Operator
predicate: cust_no is not null (type: boolean)
Statistics: Num rows: 5 Data size: 870 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: cust_no (type: string)
sort order: +
Map-reduce partition columns: cust_no (type: string)
Statistics: Num rows: 5 Data size: 870 Basic stats: COMPLETE Column stats: NONE
Reduce Operator Tree:
Join Operator
condition map:
Left Outer Join0 to 1
Left Outer Join0 to 2
keys:
0 cust_no (type: string)
1 cust_no (type: string)
2 cust_no (type: string)
outputColumnNames: _col0, _col1, _col5
Statistics: Num rows: 13 Data size: 2340 Basic stats: COMPLETE Column stats:
NONE
Filter Operator
predicate: _col5 is null (type: boolean)
Statistics: Num rows: 6 Data size: 1080 Basic stats: COMPLETE Column stats:
NONE
File Output Operator
compressed: false
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
Stage: Stage-2
Map Reduce
Map Operator Tree:
TableScan
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 6 Data size: 1080 Basic stats: COMPLETE Column stats:
NONE
value expressions: _col1 (type: string)
TableScan
alias: t3
Statistics: Num rows: 12 Data size: 1068 Basic stats: COMPLETE Column stats:
NONE
Filter Operator
predicate: cust_no is not null (type: boolean)
Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cust_no (type: string)
outputColumnNames: _col1
Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats: NONE
Group By Operator
keys: _col1 (type: string)
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats: NONE
Reduce Operator Tree:
Join Operator
condition map:
Left Semi Join 0 to 1
keys:
0 _col0 (type: string)
1 _col0 (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 6 Data size: 1188 Basic stats: COMPLETE Column stats:
NONE
Select Operator
expressions: _col0 (type: string), null (type: string), _col1 (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 6 Data size: 1188 Basic stats: COMPLETE Column stats:
NONE
File Output Operator
compressed: false
Statistics: Num rows: 6 Data size: 1188 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
Stage: Stage-0
Fetch Operator
limit: -1
Processor Tree:
ListSink
{color:#f6c342}*result:*{color}
60003 NULL kylin
60003 NULL kylin
60003 NULL kylin
60004 NULL jeny
60005 NULL john
was:
In our production environment, there are four tables to do association queries.
There are exists in the conditions, and we found that the first two conditions
were lost.
The following two conditions are missing：
{color:#f79232}t2.cust_no is null and t4.cust_level not in ('4','5'){color}
In the test environment, I prepared the data of the following four tables, and
a condition was lost in the simulation.
tables:
test_table1
cust_no,name
60001,lisa
60002,tina
60003,kylin
60004,jeny
60005,john
60006,jamse
test_table2
cust_no,acct_type
60001,1
60001,1
60001,2
60002,1
60003,2
60003,3
test_table3
cust_no
60001
60002
60003
60004
60005
60007
test_table4
cust_no,cust_level
60001,1
60002,2
60003,3
60004,4
60005,5
create table tmp.test_table1(cust_no string,name string);
create table tmp.test_table2(cust_no string,acct_type string);
create table tmp.test_table3(cust_no string);
create table tmp.test_table4(cust_no string,cust_level string);
insert into tmp.test_table1 select '60001','lisa';
insert into tmp.test_table1 select '60002','tina';
insert into tmp.test_table1 select '60003','kylin';
insert into tmp.test_table1 select '60004','jeny';
insert into tmp.test_table1 select '60005','john';
insert into tmp.test_table1 select '60006','jamse';
insert into tmp.test_table2 select '60001','1';
insert into tmp.test_table2 select '60001','1';
insert into tmp.test_table2 select '60001','2';
insert into tmp.test_table2 select '60002','1';
insert into tmp.test_table2 select '60003','2';
insert into tmp.test_table2 select '60002','3';
insert into tmp.test_table3 select '60001';
insert into tmp.test_table3 select '60002';
insert into tmp.test_table3 select '60003';
insert into tmp.test_table3 select '60004';
insert into tmp.test_table3 select '60005';
insert into tmp.test_table3 select '60007';
insert into tmp.test_table4 select '60001','1';
insert into tmp.test_table4 select '60002','2';
insert into tmp.test_table4 select '60003','3';
insert into tmp.test_table4 select '60004','4';
insert into tmp.test_table4 select '60005','5';
Here is my query SQL And shut down mapjoin:
set hive.auto.convert.join=false;
select t1.cust_no as cust_no,t2.cust_no as custNO,t1.name from tmp.test_table1
t1
left join tmp.test_table2 t2 on t1.cust_no=t2.cust_no
and t2.acct_type='1'
left join tmp.test_table4 t4 on t1.cust_no=t4.cust_no
where t2.cust_no is null and t4.cust_level not in ('4','5') and exists (select
1 from tmp.test_table3 t3 where t1.cust_no=t3.cust_no)
All I want is to include cust_no for 6003，But the result is inclusive 6004 and
6005，this wrong 。{color:#f79232}In my production environment, 6001 came
out。Loss of condition because cust_no is null。{color}
{color:#f6c342}View the execution plan, t4.cust_level not in ('4','5')
condition missing{color}
*result:*
60003 NULL kylin
60003 NULL kylin
60003 NULL kylin
60004 NULL jeny
60005 NULL john
> Loss of query condition when exist exists
> -----------------------------------------
>
> Key: HIVE-21452
> URL: https://issues.apache.org/jira/browse/HIVE-21452
> Project: Hive
> Issue Type: Bug
> Affects Versions: 1.1.0
> Reporter: zengxl
> Priority: Major
>
> In our production environment, there are four tables to do association
> queries. There are exists in the conditions, and we found that the first two
> conditions were lost.
> The following two conditions are missing：
> {color:#f79232}t2.cust_no is null and t4.cust_level not in ('4','5'){color}
>
> In the test environment, I prepared the data of the following four tables,
> and a condition was lost in the simulation.
> tables:
> test_table1
> cust_no,name
> 60001,lisa
> 60002,tina
> 60003,kylin
> 60004,jeny
> 60005,john
> 60006,jamse
> test_table2
> cust_no,acct_type
> 60001,1
> 60001,1
> 60001,2
> 60002,1
> 60003,2
> 60003,3
> test_table3
> cust_no
> 60001
> 60002
> 60003
> 60004
> 60005
> 60007
> test_table4
> cust_no,cust_level
> 60001,1
> 60002,2
> 60003,3
> 60004,4
> 60005,5
>
> create table tmp.test_table1(cust_no string,name string);
> create table tmp.test_table2(cust_no string,acct_type string);
> create table tmp.test_table3(cust_no string);
> create table tmp.test_table4(cust_no string,cust_level string);
> insert into tmp.test_table1 select '60001','lisa';
> insert into tmp.test_table1 select '60002','tina';
> insert into tmp.test_table1 select '60003','kylin';
> insert into tmp.test_table1 select '60004','jeny';
> insert into tmp.test_table1 select '60005','john';
> insert into tmp.test_table1 select '60006','jamse';
> insert into tmp.test_table2 select '60001','1';
> insert into tmp.test_table2 select '60001','1';
> insert into tmp.test_table2 select '60001','2';
> insert into tmp.test_table2 select '60002','1';
> insert into tmp.test_table2 select '60003','2';
> insert into tmp.test_table2 select '60002','3';
> insert into tmp.test_table3 select '60001';
> insert into tmp.test_table3 select '60002';
> insert into tmp.test_table3 select '60003';
> insert into tmp.test_table3 select '60004';
> insert into tmp.test_table3 select '60005';
> insert into tmp.test_table3 select '60007';
> insert into tmp.test_table4 select '60001','1';
> insert into tmp.test_table4 select '60002','2';
> insert into tmp.test_table4 select '60003','3';
> insert into tmp.test_table4 select '60004','4';
> insert into tmp.test_table4 select '60005','5';
>
> Here is my query SQL And shut down mapjoin:
> set hive.auto.convert.join=false;
> select t1.cust_no as cust_no,t2.cust_no as custNO,t1.name from
> tmp.test_table1 t1
> left join tmp.test_table2 t2 on t1.cust_no=t2.cust_no
> and t2.acct_type='1'
> left join tmp.test_table4 t4 on t1.cust_no=t4.cust_no
> where t2.cust_no is null and t4.cust_level not in ('4','5') and exists
> (select 1 from tmp.test_table3 t3 where t1.cust_no=t3.cust_no)
>
> All I want is to include cust_no for 6003，But the result is inclusive 6004
> and 6005，this wrong 。{color:#f79232}In my production environment, 6001 came
> out。Loss of condition because cust_no is null。{color}
> {color:#f6c342}View the execution plan, t4.cust_level not in ('4','5')
> condition missing{color}
> *{color:#f6c342}Explain:{color}*
> STAGE DEPENDENCIES:
> Stage-1 is a root stage
> Stage-2 depends on stages: Stage-1
> Stage-0 depends on stages: Stage-2
> STAGE PLANS:
> Stage: Stage-1
> Map Reduce
> Map Operator Tree:
> TableScan
> alias: t1
> Statistics: Num rows: 12 Data size: 2128 Basic stats: COMPLETE Column stats:
> NONE
> Filter Operator
> predicate: cust_no is not null (type: boolean)
> Statistics: Num rows: 6 Data size: 1064 Basic stats: COMPLETE Column stats:
> NONE
> Reduce Output Operator
> key expressions: cust_no (type: string)
> sort order: +
> Map-reduce partition columns: cust_no (type: string)
> Statistics: Num rows: 6 Data size: 1064 Basic stats: COMPLETE Column stats:
> NONE
> value expressions: name (type: string)
> TableScan
> alias: t2
> Statistics: Num rows: 12 Data size: 2088 Basic stats: COMPLETE Column stats:
> NONE
> Filter Operator
> predicate: ((acct_type = '1') and cust_no is not null) (type: boolean)
> Statistics: Num rows: 3 Data size: 522 Basic stats: COMPLETE Column stats:
> NONE
> Reduce Output Operator
> key expressions: cust_no (type: string)
> sort order: +
> Map-reduce partition columns: cust_no (type: string)
> Statistics: Num rows: 3 Data size: 522 Basic stats: COMPLETE Column stats:
> NONE
> TableScan
> alias: t4
> Statistics: Num rows: 10 Data size: 1740 Basic stats: COMPLETE Column stats:
> NONE
> Filter Operator
> predicate: cust_no is not null (type: boolean)
> Statistics: Num rows: 5 Data size: 870 Basic stats: COMPLETE Column stats:
> NONE
> Reduce Output Operator
> key expressions: cust_no (type: string)
> sort order: +
> Map-reduce partition columns: cust_no (type: string)
> Statistics: Num rows: 5 Data size: 870 Basic stats: COMPLETE Column stats:
> NONE
> Reduce Operator Tree:
> Join Operator
> condition map:
> Left Outer Join0 to 1
> Left Outer Join0 to 2
> keys:
> 0 cust_no (type: string)
> 1 cust_no (type: string)
> 2 cust_no (type: string)
> outputColumnNames: _col0, _col1, _col5
> Statistics: Num rows: 13 Data size: 2340 Basic stats: COMPLETE Column stats:
> NONE
> Filter Operator
> predicate: _col5 is null (type: boolean)
> Statistics: Num rows: 6 Data size: 1080 Basic stats: COMPLETE Column stats:
> NONE
> File Output Operator
> compressed: false
> table:
> input format: org.apache.hadoop.mapred.SequenceFileInputFormat
> output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
> serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
> Stage: Stage-2
> Map Reduce
> Map Operator Tree:
> TableScan
> Reduce Output Operator
> key expressions: _col0 (type: string)
> sort order: +
> Map-reduce partition columns: _col0 (type: string)
> Statistics: Num rows: 6 Data size: 1080 Basic stats: COMPLETE Column stats:
> NONE
> value expressions: _col1 (type: string)
> TableScan
> alias: t3
> Statistics: Num rows: 12 Data size: 1068 Basic stats: COMPLETE Column stats:
> NONE
> Filter Operator
> predicate: cust_no is not null (type: boolean)
> Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats:
> NONE
> Select Operator
> expressions: cust_no (type: string)
> outputColumnNames: _col1
> Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats:
> NONE
> Group By Operator
> keys: _col1 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats:
> NONE
> Reduce Output Operator
> key expressions: _col0 (type: string)
> sort order: +
> Map-reduce partition columns: _col0 (type: string)
> Statistics: Num rows: 6 Data size: 534 Basic stats: COMPLETE Column stats:
> NONE
> Reduce Operator Tree:
> Join Operator
> condition map:
> Left Semi Join 0 to 1
> keys:
> 0 _col0 (type: string)
> 1 _col0 (type: string)
> outputColumnNames: _col0, _col1
> Statistics: Num rows: 6 Data size: 1188 Basic stats: COMPLETE Column stats:
> NONE
> Select Operator
> expressions: _col0 (type: string), null (type: string), _col1 (type: string)
> outputColumnNames: _col0, _col1, _col2
> Statistics: Num rows: 6 Data size: 1188 Basic stats: COMPLETE Column stats:
> NONE
> File Output Operator
> compressed: false
> Statistics: Num rows: 6 Data size: 1188 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
> Stage: Stage-0
> Fetch Operator
> limit: -1
> Processor Tree:
> ListSink
>
> {color:#f6c342}*result:*{color}
> 60003 NULL kylin
> 60003 NULL kylin
> 60003 NULL kylin
> 60004 NULL jeny
> 60005 NULL john
>
>
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