[
https://issues.apache.org/jira/browse/HIVE-21021?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Vineet Garg updated HIVE-21021:
-------------------------------
Status: Patch Available (was: Open)
> 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
> Priority: Major
> Attachments: HIVE-21021.1.patch
>
>
> {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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