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https://issues.apache.org/jira/browse/HIVE-23908?focusedWorklogId=463180&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-463180
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ASF GitHub Bot logged work on HIVE-23908:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Jul/20 00:42
Start Date: 25/Jul/20 00:42
Worklog Time Spent: 10m
Work Description: jcamachor commented on a change in pull request #1302:
URL: https://github.com/apache/hive/pull/1302#discussion_r460341568
##########
File path:
ql/src/test/results/clientpositive/llap/constraints_optimization.q.out
##########
@@ -2689,13 +2689,17 @@ POSTHOOK: Input: default@store_sales
#### A masked pattern was here ####
CBO PLAN:
HiveProject(c_customer_id=[$1])
- HiveAggregate(group=[{0, 1}])
- HiveJoin(condition=[=($0, $8)], joinType=[inner], algorithm=[none],
cost=[not available])
- HiveProject(c_customer_sk=[$0], c_customer_id=[$1], c_first_name=[$8],
c_last_name=[$9], c_preferred_cust_flag=[$10], c_birth_country=[$14],
c_login=[$15], c_email_address=[$16])
- HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveProject(ss_customer_sk=[$3])
- HiveFilter(condition=[IS NOT NULL($3)])
- HiveTableScan(table=[[default, store_sales]],
table:alias=[store_sales])
+ HiveSemiJoin(condition=[=($0, $2)], joinType=[semi])
Review comment:
We should not trigger the optimization in this case, since it is just
doing consecutively the same join. However, this is not actually related to
this patch. Can we create a follow-up?
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Issue Time Tracking
-------------------
Worklog Id: (was: 463180)
Time Spent: 20m (was: 10m)
> Rewrite plan to join back tables: handle root input is an Aggregate
> -------------------------------------------------------------------
>
> Key: HIVE-23908
> URL: https://issues.apache.org/jira/browse/HIVE-23908
> Project: Hive
> Issue Type: Improvement
> Reporter: Krisztian Kasa
> Assignee: Krisztian Kasa
> Priority: Major
> Labels: pull-request-available
> Time Spent: 20m
> Remaining Estimate: 0h
>
> {code}
> EXPLAIN CBO
> SELECT
> C_CUSTOMER_ID
> FROM
> CUSTOMER
> , STORE_SALES
> WHERE
> C_CUSTOMER_SK = SS_CUSTOMER_SK
> GROUP BY
> C_CUSTOMER_SK
> , C_CUSTOMER_ID
> , C_FIRST_NAME
> , C_LAST_NAME
> , C_PREFERRED_CUST_FLAG
> , C_BIRTH_COUNTRY
> , C_LOGIN
> , C_EMAIL_ADDRESS
> {code}
> {code}
> HiveProject(c_customer_id=[$1])
> HiveAggregate(group=[{0, 1}])
> HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4], $f5=[$5],
> $f6=[$6], $f7=[$7])
> HiveJoin(condition=[=($0, $8)], joinType=[inner], algorithm=[none],
> cost=[not available])
> HiveProject(c_customer_sk=[$0], c_customer_id=[$1],
> c_first_name=[$8], c_last_name=[$9], c_preferred_cust_flag=[$10],
> c_birth_country=[$14], c_login=[$15], c_email_address=[$16])
> HiveTableScan(table=[[default, customer]], table:alias=[customer])
> HiveProject(ss_customer_sk=[$3])
> HiveFilter(condition=[IS NOT NULL($3)])
> HiveTableScan(table=[[default, store_sales]],
> table:alias=[store_sales])
> {code}
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