Aditya Shah created HIVE-22561: ---------------------------------- Summary: 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 Attachments: 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. -- This message was sent by Atlassian Jira (v8.3.4#803005)