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LuGuangMing commented on HIVE-22198: ------------------------------------ [~aditya-shah] ConditionalTask is not easily aware of the parent node that needs to be repaired, such as the following SQL scenario: create table test_parallel stored as orcfile as SELECT sum(1) as a FROM tab1 t1 INNER JOIN tab2 t2 ON t1.com = t2.com UNION ALL SELECT sum(1) as a FROM tab3 t3 INNER JOIN tab4 t4 ON t3.com = t4.com; !image-2019-10-08-09-51-06-144.png! Its scheduling order selects a branch within ConditionalTask, The parent relationship of a branch that is selected for execution can be preserved, and the parent relationship of a branch that is not selected for execution must be deleted, The branch that we want to execute is not easily perceived in advance, So I consider placing dependency repair on the parent node in the launchTask phase > Execute unoin-all with childs Join in parallel > ---------------------------------------------- > > Key: HIVE-22198 > URL: https://issues.apache.org/jira/browse/HIVE-22198 > Project: Hive > Issue Type: Bug > Affects Versions: 3.1.0 > Reporter: LuGuangMing > Assignee: LuGuangMing > Priority: Major > Attachments: HIVE-22198.patch, image-2019-09-20-11-38-37-433.png, > image-2019-09-20-11-39-30-347.png, image-2019-10-08-09-51-06-144.png, > test-parallel.sql > > > set parallel is true, set skewjoin is false, set auto convert join is false. > run a unoin all, There is nothing error message, but some result data is > missing, details check attatchment [^test-parallel.sql] > create table tab1(tid int, com string) row format delimited fields terminated > by '\t' stored as textfile; > create table tab2(tid int, com string) row format delimited fields > terminated by '\t' stored as textfile; > create table tab3(tid int, com string) row format delimited fields > terminated by '\t' stored as textfile; > create table tab4(tid int, com string) row format delimited fields > terminated by '\t' stored as textfile; > insert into tab1 values(1,'abc'),(2,'bcd'),(3,'cde'); > insert into tab2 values(1,'abc'),(2,'bcd'),(3,'cde'); > insert into tab3 values(1,'abc'),(2,'bcd'),(3,'cde'); > insert into tab4 values(1,'abc'),(2,'bcd'),(3,'cde'); > set hive.auto.convert.join=false; > set hive.optimize.skewjoin=true; > set hive.exec.parallel=true; > SELECT sum(1) as a > FROM tab1 t1 > INNER JOIN tab2 t2 > ON t1.com = t2.com > UNION ALL > SELECT sum(1) as a > FROM tab3 t3 > INNER JOIN tab4 t4 > ON t3.com = t4.com; > create table test_parallel stored as orcfile as > SELECT sum(1) as a > FROM tab1 t1 > INNER JOIN tab2 t2 > ON t1.com = t2.com > UNION ALL > SELECT sum(1) as a > FROM tab3 t3 > INNER JOIN tab4 t4 > ON t3.com = t4.com; > select * from test_parallel; > The result data should be two, but only one. -- This message was sent by Atlassian Jira (v8.3.4#803005)