Vineet Garg created HIVE-21021:
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Summary: Scalar subquery with only aggregate in subquery (no group
by) has unnecessary sq_count_check branch
Key: HIVE-21021
URL: https://issues.apache.org/jira/browse/HIVE-21021
Project: Hive
Issue Type: Improvement
Affects Versions: 3.0.0
Reporter: Vineet Garg
Assignee: Vineet Garg
{code:sql}
CREATE TABLE `store_sales`(
`ss_sold_date_sk` int,
`ss_quantity` int,
`ss_list_price` decimal(7,2));
CREATE TABLE `date_dim`(
`d_date_sk` int,
`d_year` int);
explain cbo with avg_sales as
(select avg(quantity*list_price) average_sales
from (select ss_quantity quantity
,ss_list_price list_price
from store_sales
,date_dim
where ss_sold_date_sk = d_date_sk
and d_year between 1999 and 2001 ) x)
select * from store_sales where ss_list_price > (select average_sales from
avg_sales);
{code}
{noformat}
CBO PLAN:
HiveProject(ss_sold_date_sk=[$0], ss_quantity=[$1], ss_list_price=[$2])
HiveJoin(condition=[true], joinType=[inner], algorithm=[none], cost=[{2.0
rows, 0.0 cpu, 0.0 io}])
HiveJoin(condition=[>($2, $3)], joinType=[inner], algorithm=[none],
cost=[{2.0 rows, 0.0 cpu, 0.0 io}])
HiveProject(ss_sold_date_sk=[$0], ss_quantity=[$1], ss_list_price=[$2])
HiveTableScan(table=[[sub, store_sales]], table:alias=[store_sales])
HiveProject($f0=[/($0, $1)])
HiveAggregate(group=[{}], agg#0=[sum($0)], agg#1=[count($0)])
HiveProject($f0=[*(CAST($1):DECIMAL(10, 0), $2)])
HiveJoin(condition=[=($0, $3)], joinType=[inner], algorithm=[none],
cost=[{2.0 rows, 0.0 cpu, 0.0 io}])
HiveProject(ss_sold_date_sk=[$0], ss_quantity=[$1],
ss_list_price=[$2])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[sub, store_sales]],
table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(BETWEEN(false, $1, 1999, 2001), IS
NOT NULL($0))])
HiveTableScan(table=[[sub, date_dim]], table:alias=[date_dim])
HiveProject(cnt=[$0])
HiveFilter(condition=[<=(sq_count_check($0), 1)])
HiveProject(cnt=[$0])
HiveAggregate(group=[{}], cnt=[COUNT()])
HiveProject
HiveProject($f0=[$0])
HiveAggregate(group=[{}], agg#0=[count($0)])
HiveJoin(condition=[=($0, $3)], joinType=[inner],
algorithm=[none], cost=[{2.0 rows, 0.0 cpu, 0.0 io}])
HiveProject(ss_sold_date_sk=[$0], ss_quantity=[$1],
ss_list_price=[$2])
HiveFilter(condition=[IS NOT NULL($0)])
HiveTableScan(table=[[sub, store_sales]],
table:alias=[store_sales])
HiveProject(d_date_sk=[$0])
HiveFilter(condition=[AND(BETWEEN(false, $1, 1999, 2001),
IS NOT NULL($0))])
HiveTableScan(table=[[sub, date_dim]],
table:alias=[date_dim])
{noformat}
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