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https://issues.apache.org/jira/browse/HIVE-21795?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16851446#comment-16851446
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Hive QA commented on HIVE-21795:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12970152/HIVE-21795.02.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 16064 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.llap.cache.TestBuddyAllocator.testMTT[2] (batchId=348)
org.apache.hadoop.hive.ql.exec.spark.TestSparkSessionTimeout.testMultiSessionSparkSessionTimeout
(batchId=265)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/17346/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/17346/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-17346/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 2 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12970152 - PreCommit-HIVE-Build
> Rollup summary row might be missing when a mapjoin is happening on a
> partitioned table
> --------------------------------------------------------------------------------------
>
> Key: HIVE-21795
> URL: https://issues.apache.org/jira/browse/HIVE-21795
> Project: Hive
> Issue Type: Bug
> Reporter: Zoltan Haindrich
> Assignee: Zoltan Haindrich
> Priority: Major
> Attachments: HIVE-21795.01.patch, HIVE-21795.02.patch,
> HIVE-21795.02.patch
>
>
> * join between 2 tables; the larger is partitioned
> * mapjoin is selected
> * dpp is sending events from the small table to the large on
> * rollup: summary row is missing if dpp removes all input partitions
> the following should have a 1 row result.
> {code}
> set hive.auto.convert.join=true;
> drop table if exists store_sales_s0;
> drop table if exists store_s0;
> CREATE TABLE store_sales_s0 (ss_item_sk int,payload string,payload2
> string,payload3 string) PARTITIONED BY (ss_store_sk int) stored as orc
> TBLPROPERTIES( 'transactional'='false');
> CREATE TABLE store_s0 (s_item_sk int,s_store_sk int,s_state string) stored as
> orc TBLPROPERTIES( 'transactional'='false');
> insert into store_s0 values
> (1,10,'XX'),
> (2,20,'AA'),
> (3,30,'ZZ')
> ;
> insert into store_sales_s0 partition(ss_store_sk=9) values
> (1,'xxx','xxx','xxx'),(2,'xxx','xxx','xxx'),(3,'xxx','xxx','xxx'),(4,'xxx','xxx','xxx'),(5,'xxx','xxx','xxx');
> insert into store_sales_s0 partition(ss_store_sk=39) values
> (1,'xxx','xxx','xxx'),(2,'xxx','xxx','xxx'),(3,'xxx','xxx','xxx'),(4,'xxx','xxx','xxx'),(5,'xxx','xxx','xxx');
> explain select grouping(s_state) from store_s0, store_sales_s0 where
> ss_store_sk = s_store_sk and s_state in ('SD','FL', 'MI', 'LA', 'MO', 'SC')
> group by rollup(ss_item_sk, s_state) order by s_state;
> select grouping(s_state) from store_s0, store_sales_s0 where ss_store_sk =
> s_store_sk and s_state in ('SD','FL', 'MI', 'LA', 'MO', 'SC') group by
> rollup(ss_item_sk, s_state) order by s_state;
> {code}
> explain:
> {code}
> STAGE PLANS:
> Stage: Stage-1
> Tez
> #### A masked pattern was here ####
> Edges:
> Map 2 <- Map 1 (BROADCAST_EDGE)
> [...]
> #### A masked pattern was here ####
> Vertices:
> Map 1
> Map Operator Tree:
> [...]
> Dynamic Partitioning Event Operator
> Target column: ss_store_sk (int)
> Target Input: store_sales_s0
> Partition key expr: ss_store_sk
> Statistics: Num rows: 1 Data size: 4 Basic stats:
> COMPLETE Column stats: COMPLETE
> Target Vertex: Map 2
> Execution mode: vectorized, llap
> LLAP IO: all inputs
> [...]
> Map 2
> Map Operator Tree:
> TableScan
> alias: store_sales_s0
> filterExpr: ss_store_sk is not null (type: boolean)
> Statistics: Num rows: 10 Data size: 80 Basic stats:
> COMPLETE Column stats: COMPLETE
> Select Operator
> expressions: ss_item_sk (type: int), ss_store_sk (type:
> int)
> outputColumnNames: _col0, _col1
> Statistics: Num rows: 10 Data size: 80 Basic stats:
> COMPLETE Column stats: COMPLETE
> Map Join Operator
> condition map:
> Inner Join 0 to 1
> keys:
> 0 _col0 (type: int)
> 1 _col1 (type: int)
> outputColumnNames: _col1, _col2
> input vertices:
> 0 Map 1
> Statistics: Num rows: 10 Data size: 900 Basic stats:
> COMPLETE Column stats: COMPLETE
> [...]
> Execution mode: vectorized, llap
> LLAP IO: all inputs
> [...]
> {code}
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