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From "Pengcheng Xiong (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-15639) Hive/Druid integration: wrong semantics for ordering within groupBy queries
Date Sat, 25 Mar 2017 20:07:42 GMT

     [ https://issues.apache.org/jira/browse/HIVE-15639?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Pengcheng Xiong updated HIVE-15639:
-----------------------------------
    Target Version/s: 2.3.0  (was: 2.2.0)

> Hive/Druid integration: wrong semantics for ordering within groupBy queries
> ---------------------------------------------------------------------------
>
>                 Key: HIVE-15639
>                 URL: https://issues.apache.org/jira/browse/HIVE-15639
>             Project: Hive
>          Issue Type: Bug
>          Components: Druid integration
>    Affects Versions: 2.2.0
>            Reporter: Jesus Camacho Rodriguez
>            Assignee: Jesus Camacho Rodriguez
>            Priority: Critical
>
> The scope of the ordering seems to be for each different granularity value instead of
globally. 
> {code:sql}
> EXPLAIN
> SELECT i_brand_id, floor_day(`__time`), max(ss_quantity), sum(ss_wholesale_cost) as s
> FROM store_sales_sold_time_subset
> GROUP BY i_brand_id, floor_day(`__time`)
> ORDER BY i_brand_id
> LIMIT 10;
> OK
> Plan optimized by CBO.
> Stage-0
>   Fetch Operator
>     limit:-1
>     Select Operator [SEL_1]
>       Output:["_col0","_col1","_col2","_col3"]
>       TableScan [TS_0]
>         Output:["i_brand_id","__time","$f2","$f3"],properties:{"druid.query.json":"{\"queryType\":\"groupBy\",\"dataSource\":\"druid_tpcds_ss_sold_time_subset\",\"granularity\":\"DAY\",\"dimensions\":[\"i_brand_id\"],\"limitSpec\":{\"type\":\"default\",\"limit\":10,\"columns\":[{\"dimension\":\"i_brand_id\",\"direction\":\"ascending\"}]},\"aggregations\":[{\"type\":\"longMax\",\"name\":\"$f2\",\"fieldName\":\"ss_quantity\"},{\"type\":\"doubleSum\",\"name\":\"$f3\",\"fieldName\":\"ss_wholesale_cost\"}],\"intervals\":[\"1900-01-01T00:00:00.000Z/3000-01-01T00:00:00.000Z\"]}","druid.query.type":"groupBy"}
> {code}



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