[
https://issues.apache.org/jira/browse/IMPALA-13483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
weihua zhang updated IMPALA-13483:
----------------------------------
Description:
{code:sql}
create table correlated_scalar_t1(c1 bigint, c2 bigint);
create table correlated_scalar_t2(c1 bigint, c2 bigint);
insert into correlated_scalar_t1 values (1,null),(null,1),(1,2),
(null,2),(1,3), (2,4), (2,5), (3,3), (3,4), (20,2), (22,3), (24,4),(null,null);
insert into correlated_scalar_t2 values (1,null),(null,1),(1,4), (1,2),
(null,3), (2,4), (3,7), (3,9),(null,null),(5,1);
select c1 from correlated_scalar_t1 where correlated_scalar_t1.c2 > (select c1
from correlated_scalar_t2 where correlated_scalar_t1.c1 =
correlated_scalar_t2.c1 and correlated_scalar_t2.c2 < 4) order by c1;{code}
{code:java}
LogicalSort(sort0=[$0], dir0=[ASC]), id = 717
LogicalProject(C1=[$0]), id = 716
LogicalJoin(condition=[AND(=($0, $2), >($1, $3))], joinType=[inner]), id =
715
LogicalTableScan(table=[[default, correlated_scalar_t1]]), id = 547
LogicalAggregate(group=[{0}], agg#0=[SINGLE_VALUE($1)]), id = 714
LogicalProject(c11=[$0], C1=[$0]), id = 713
LogicalFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]), id = 712
LogicalTableScan(table=[[default, correlated_scalar_t2]]), id = 549
{code}
Exception: java.lang.IndexOutOfBoundsException: Index: 3, Size: 3
may be related to single_value
hive plan:
{code:java}
explain cbo select c1 from correlated_scalar_t1 where correlated_scalar_t1.c2 >
(select c1 from correlated_scalar_t2 where correlated_scalar_t1.c1 =
correlated_scalar_t2.c1 and correlated_scalar_t2.c2 < 4) order by c1;
+----------------------------------------------------+
| Explain |
+----------------------------------------------------+
| CBO PLAN: |
| HiveSortLimit(sort0=[$0], dir0=[ASC]) |
| HiveProject(c1=[$0]) |
| HiveJoin(condition=[AND(=($0, $4), >($1, $3))], joinType=[inner],
algorithm=[none], cost=[not available]) |
| HiveJoin(condition=[=($0, $2)], joinType=[left], algorithm=[none],
cost=[not available]) |
| HiveProject(c1=[$0], c2=[$1]) |
| HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($1))]) |
| HiveTableScan(table=[[default, correlated_scalar_t1]],
table:alias=[correlated_scalar_t1]) |
| HiveProject(c10=[$0]) |
| HiveFilter(condition=[sq_count_check($1)]) |
// <------------------
| HiveAggregate(group=[{0}], cnt=[COUNT()]) |
// <------------------
| HiveFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]) |
| HiveTableScan(table=[[default, correlated_scalar_t2]],
table:alias=[correlated_scalar_t2]) |
| HiveProject(c1=[$0], c10=[$0]) |
| HiveFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]) |
| HiveTableScan(table=[[default, correlated_scalar_t2]],
table:alias=[correlated_scalar_t2]) |
| |
+----------------------------------------------------+
17 rows selected (0.935 seconds)
{code}
was:
{code:sql}
create table correlated_scalar_t1(c1 bigint, c2 bigint);
create table correlated_scalar_t2(c1 bigint, c2 bigint);
insert into correlated_scalar_t1 values (1,null),(null,1),(1,2),
(null,2),(1,3), (2,4), (2,5), (3,3), (3,4), (20,2), (22,3), (24,4),(null,null);
insert into correlated_scalar_t2 values (1,null),(null,1),(1,4), (1,2),
(null,3), (2,4), (3,7), (3,9),(null,null),(5,1);
select c1 from correlated_scalar_t1 where correlated_scalar_t1.c2 > (select c1
from correlated_scalar_t2 where correlated_scalar_t1.c1 =
correlated_scalar_t2.c1 and correlated_scalar_t2.c2 < 4) order by c1;{code}
{code:java}
LogicalSort(sort0=[$0], dir0=[ASC]), id = 717
LogicalProject(C1=[$0]), id = 716
LogicalJoin(condition=[AND(=($0, $2), >($1, $3))], joinType=[inner]), id =
715
LogicalTableScan(table=[[default, correlated_scalar_t1]]), id = 547
LogicalAggregate(group=[{0}], agg#0=[SINGLE_VALUE($1)]), id = 714
LogicalProject(c11=[$0], C1=[$0]), id = 713
LogicalFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]), id = 712
LogicalTableScan(table=[[default, correlated_scalar_t2]]), id = 549
{code}
Exception: java.lang.IndexOutOfBoundsException: Index: 3, Size: 3
may be related to single_value
hive plan:
{code:java}
explain cbo select c1 from correlated_scalar_t1 where correlated_scalar_t1.c2 >
(select c1 from correlated_scalar_t2 where correlated_scalar_t1.c1 =
correlated_scalar_t2.c1 and correlated_scalar_t2.c2 < 4) order by c1;
+----------------------------------------------------+
| Explain |
+----------------------------------------------------+
| CBO PLAN: |
| HiveSortLimit(sort0=[$0], dir0=[ASC]) |
| HiveProject(c1=[$0]) |
| HiveJoin(condition=[AND(=($0, $4), >($1, $3))], joinType=[inner],
algorithm=[none], cost=[not available]) |
| HiveJoin(condition=[=($0, $2)], joinType=[left], algorithm=[none],
cost=[not available]) |
| HiveProject(c1=[$0], c2=[$1]) |
| HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($1))]) |
| HiveTableScan(table=[[default, correlated_scalar_t1]],
table:alias=[correlated_scalar_t1]) |
| HiveProject(c10=[$0]) |
| HiveFilter(condition=[sq_count_check($1)]) |
| HiveAggregate(group=[{0}], cnt=[COUNT()]) |
| HiveFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]) |
| HiveTableScan(table=[[default, correlated_scalar_t2]],
table:alias=[correlated_scalar_t2]) |
| HiveProject(c1=[$0], c10=[$0]) |
| HiveFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]) |
| HiveTableScan(table=[[default, correlated_scalar_t2]],
table:alias=[correlated_scalar_t2]) |
| |
+----------------------------------------------------+
17 rows selected (0.935 seconds)
{code}
> Calcite Planner: some scalar subquery throws exception when handle
> single_value
> -------------------------------------------------------------------------------
>
> Key: IMPALA-13483
> URL: https://issues.apache.org/jira/browse/IMPALA-13483
> Project: IMPALA
> Issue Type: Sub-task
> Reporter: weihua zhang
> Priority: Major
>
> {code:sql}
> create table correlated_scalar_t1(c1 bigint, c2 bigint);
> create table correlated_scalar_t2(c1 bigint, c2 bigint);
> insert into correlated_scalar_t1 values (1,null),(null,1),(1,2),
> (null,2),(1,3), (2,4), (2,5), (3,3), (3,4), (20,2), (22,3),
> (24,4),(null,null);
> insert into correlated_scalar_t2 values (1,null),(null,1),(1,4), (1,2),
> (null,3), (2,4), (3,7), (3,9),(null,null),(5,1);
> select c1 from correlated_scalar_t1 where correlated_scalar_t1.c2 > (select
> c1 from correlated_scalar_t2 where correlated_scalar_t1.c1 =
> correlated_scalar_t2.c1 and correlated_scalar_t2.c2 < 4) order by c1;{code}
> {code:java}
> LogicalSort(sort0=[$0], dir0=[ASC]), id = 717
> LogicalProject(C1=[$0]), id = 716
> LogicalJoin(condition=[AND(=($0, $2), >($1, $3))], joinType=[inner]), id
> = 715
> LogicalTableScan(table=[[default, correlated_scalar_t1]]), id = 547
> LogicalAggregate(group=[{0}], agg#0=[SINGLE_VALUE($1)]), id = 714
> LogicalProject(c11=[$0], C1=[$0]), id = 713
> LogicalFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]), id = 712
> LogicalTableScan(table=[[default, correlated_scalar_t2]]), id =
> 549
> {code}
> Exception: java.lang.IndexOutOfBoundsException: Index: 3, Size: 3
> may be related to single_value
> hive plan:
> {code:java}
> explain cbo select c1 from correlated_scalar_t1 where correlated_scalar_t1.c2
> > (select c1 from correlated_scalar_t2 where correlated_scalar_t1.c1 =
> correlated_scalar_t2.c1 and correlated_scalar_t2.c2 < 4) order by c1;
> +----------------------------------------------------+
> | Explain |
> +----------------------------------------------------+
> | CBO PLAN: |
> | HiveSortLimit(sort0=[$0], dir0=[ASC]) |
> | HiveProject(c1=[$0]) |
> | HiveJoin(condition=[AND(=($0, $4), >($1, $3))], joinType=[inner],
> algorithm=[none], cost=[not available]) |
> | HiveJoin(condition=[=($0, $2)], joinType=[left], algorithm=[none],
> cost=[not available]) |
> | HiveProject(c1=[$0], c2=[$1]) |
> | HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($1))]) |
> | HiveTableScan(table=[[default, correlated_scalar_t1]],
> table:alias=[correlated_scalar_t1]) |
> | HiveProject(c10=[$0]) |
> | HiveFilter(condition=[sq_count_check($1)]) |
> // <------------------
> | HiveAggregate(group=[{0}], cnt=[COUNT()]) |
> // <------------------
> | HiveFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]) |
> | HiveTableScan(table=[[default, correlated_scalar_t2]],
> table:alias=[correlated_scalar_t2]) |
> | HiveProject(c1=[$0], c10=[$0]) |
> | HiveFilter(condition=[AND(<($1, 4), IS NOT NULL($0))]) |
> | HiveTableScan(table=[[default, correlated_scalar_t2]],
> table:alias=[correlated_scalar_t2]) |
> | |
> +----------------------------------------------------+
> 17 rows selected (0.935 seconds)
> {code}
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