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From "Aditya Shah (Jira)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-22561) Data loss on map join for bucketed, partitioned table
Date Tue, 10 Dec 2019 06:09:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-22561?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Aditya Shah updated HIVE-22561:
-------------------------------
    Attachment: HIVE-22561.branch-3.1.patch
        Status: Patch Available  (was: Open)

Submitting patch with the correct name to run with branch-3.1 profile.

> Data loss on map join for bucketed, partitioned table
> -----------------------------------------------------
>
>                 Key: HIVE-22561
>                 URL: https://issues.apache.org/jira/browse/HIVE-22561
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 3.1.2
>            Reporter: Aditya Shah
>            Assignee: Aditya Shah
>            Priority: Blocker
>             Fix For: 3.1.0, 3.0.0
>
>         Attachments: HIVE-22561.branch-3.1.patch, HIVE-22561.patch, Screenshot 2019-11-28
at 8.45.17 PM.png, image-2019-11-28-20-46-25-432.png
>
>
> A map join on a column (which is neither involved in bucketing and partition) causes
data loss. 
> Steps to reproduce:
> Env: [hive-dev-box|[https://github.com/kgyrtkirk/hive-dev-box]] hive 3.1.2.
> Create tables:
>  
> {code:java}
> CREATE TABLE `testj2`(
>   `id` int, 
>   `bn` string, 
>   `cn` string, 
>   `ad` map<string,int>, 
>   `mi` array<int>)
> PARTITIONED BY ( 
>   `br` string)
> CLUSTERED BY ( 
>   bn) 
> INTO 2 BUCKETS
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY ','
> STORED AS TEXTFILE
> TBLPROPERTIES (
>   'bucketing_version'='2');
> CREATE TABLE `testj1`(
>   `id` int, 
>   `can` string, 
>   `cn` string, 
>   `ad` map<string,int>, 
>   `av` boolean, 
>   `mi` array<int>)
> PARTITIONED BY ( 
>   `brand` string)
> CLUSTERED BY ( 
>   can) 
> INTO 2 BUCKETS
> ROW FORMAT DELIMITED
> FIELDS TERMINATED BY ','
> STORED AS TEXTFILE
> TBLPROPERTIES (
>   'bucketing_version'='2');
> {code}
> insert some data in both:
> {code:java}
> insert into testj1 values (100, 'mes_1', 'customer_1',  map('city1', 560077), false,
array(5, 10), 'brand_1'),
> (101, 'mes_2', 'customer_2',  map('city2', 560078), true, array(10, 20), 'brand_2'),
> (102, 'mes_3', 'customer_3',  map('city3', 560079), false, array(15, 30), 'brand_3'),
> (103, 'mes_4', 'customer_4',  map('city4', 560080), true, array(20, 40), 'brand_4'),
> (104, 'mes_5', 'customer_5',  map('city5', 560081), false, array(25, 50), 'brand_5');
> insert into table testj2 values (100, 'tv_0', 'customer_0', map('city0', 560076),array(0,
0, 0), 'tv'),
> (101, 'tv_1', 'customer_1', map('city1', 560077),array(20, 25, 30), 'tv'),
> (102, 'tv_2', 'customer_2', map('city2', 560078),array(40, 50, 60), 'tv'),
> (103, 'tv_3', 'customer_3', map('city3', 560079),array(60, 75, 90), 'tv'),
> (104, 'tv_4', 'customer_4', map('city4', 560080),array(80, 100, 120), 'tv');
> {code}
> Do a join between them:
> {code:java}
> select t1.id, t1.can, t1.cn, t2.bn,t2.ad, t2.br FROM testj1 t1 JOIN testj2 t2 on (t1.id
= t2.id) order by t1.id;
> {code}
> Observed results:
> !image-2019-11-28-20-46-25-432.png|width=524,height=100!
> In the plan, I can see a map join. Disabling it gives the correct result.
>  
>  



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