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Date: Wed, 14 Jun 2017 15:21:00 +0000 (UTC)
From: "Jesus Camacho Rodriguez (JIRA)" <jira@apache.org>
To: issues@hive.apache.org
Message-ID: <JIRA.13079292.1497296073000.17498.1497453660081@Atlassian.JIRA>
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Subject: [jira] [Updated] (HIVE-16885) Non-equi Joins: Filter clauses should
 be pushed into the ON clause
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archived-at: Wed, 14 Jun 2017 15:21:05 -0000


     [ https://issues.apache.org/jira/browse/HIVE-16885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jesus Camacho Rodriguez updated HIVE-16885:
-------------------------------------------
    Attachment: HIVE-16885.01.patch

> Non-equi Joins: Filter clauses should be pushed into the ON clause
> ------------------------------------------------------------------
>
>                 Key: HIVE-16885
>                 URL: https://issues.apache.org/jira/browse/HIVE-16885
>             Project: Hive
>          Issue Type: Improvement
>          Components: Physical Optimizer
>    Affects Versions: 3.0.0
>            Reporter: Gopal V
>            Assignee: Jesus Camacho Rodriguez
>         Attachments: HIVE-16885.01.patch, HIVE-16885.patch
>
>
> FIL_24 -> MAPJOIN_23
> {code}
> hive> explain  select * from part where p_size > (select max(p_size) from part group by p_type);
> Warning: Map Join MAPJOIN[14][bigTable=?] in task 'Map 1' is a cross product
> OK
> Plan optimized by CBO.
> Vertex dependency in root stage
> Map 1 <- Reducer 3 (BROADCAST_EDGE)
> Reducer 3 <- Map 2 (SIMPLE_EDGE)
> Stage-0
>   Fetch Operator
>     limit:-1
>     Stage-1
>       Map 1 vectorized, llap
>       File Output Operator [FS_26]
>         Select Operator [SEL_25] (rows=11000000000 width=621)
>           Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
>           Filter Operator [FIL_24] (rows=11000000000 width=625)
>             predicate:(_col5 > _col9)
>             Map Join Operator [MAPJOIN_23] (rows=33000000000 width=625)
>               Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
>             <-Reducer 3 [BROADCAST_EDGE] vectorized, llap
>               BROADCAST [RS_21]
>                 Select Operator [SEL_20] (rows=165 width=4)
>                   Output:["_col0"]
>                   Group By Operator [GBY_19] (rows=165 width=109)
>                     Output:["_col0","_col1"],aggregations:["max(VALUE._col0)"],keys:KEY._col0
>                   <-Map 2 [SIMPLE_EDGE] vectorized, llap
>                     SHUFFLE [RS_18]
>                       PartitionCols:_col0
>                       Group By Operator [GBY_17] (rows=14190 width=109)
>                         Output:["_col0","_col1"],aggregations:["max(p_size)"],keys:p_type
>                         Select Operator [SEL_16] (rows=200000000 width=109)
>                           Output:["p_type","p_size"]
>                           TableScan [TS_2] (rows=200000000 width=109)
>                             tpch_flat_orc_1000@part,part,Tbl:COMPLETE,Col:COMPLETE,Output:["p_type","p_size"]
>             <-Select Operator [SEL_22] (rows=200000000 width=621)
>                 Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
>                 TableScan [TS_0] (rows=200000000 width=621)
>                   tpch_flat_orc_1000@part,part,Tbl:COMPLETE,Col:COMPLETE,Output:["p_partkey","p_name","p_mfgr","p_brand","p_type","p_size","p_container","p_retailprice","p_comment"]
> {code}


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