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Posted to dev@hive.apache.org by "Vineet Garg (JIRA)" <ji...@apache.org> on 2016/08/01 03:15:20 UTC

[jira] [Created] (HIVE-14396) CBO: Calcite Operator To Hive Operator (Calcite Return Path): TestCliDriver count.q failure

Vineet Garg created HIVE-14396:
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             Summary: CBO: Calcite Operator To Hive Operator (Calcite Return Path): TestCliDriver count.q failure
                 Key: HIVE-14396
                 URL: https://issues.apache.org/jira/browse/HIVE-14396
             Project: Hive
          Issue Type: Sub-task
          Components: CBO
            Reporter: Vineet Garg
            Assignee: Vineet Garg


Currently there are three different failures

Set hive.cbo.returnpath.hiveop=true for all cases.

1) First case is wrong result for following query

{code:title=failure 1 Wrong result}
explain select count(1), count(*), count(a), count(b), count(c), count(d), count(distinct a), count(distinct b), count(distinct c), count(distinct d), count(distinct a,b), count(distinct b,c), count(distinct c,d), count(distinct a,d), count(distinct a,c), count(distinct b,d), count(distinct a,b,c), count(distinct b,c,d), count(distinct a,c,d), count(distinct a,b,d), count(distinct a,b,c,d) from abcd;
{code}

This occurs due to a bug in HiveCalciteUtil.getExprNodes. While looking for corresponding expression for a aggregate function's argument wrong index is being used.

2) Out of bound exception for following
{code}
set hive.map.aggr=false
explain select count(1), count(*), count(a), count(b), count(c), count(d), count(distinct a), count(distinct b), count(distinct c), count(distinct d), count(distinct a,b), count(distinct b,c), count(distinct c,d), count(distinct a,d), count(distinct a,c), count(distinct b,d), count(distinct a,b,c), count(distinct b,c,d), count(distinct a,c,d), count(distinct a,b,d), count(distinct a,b,c,d) from abcd;
{code}

The above happens while converting Calcite Aggregation to Hive's group by operator.

3) Once the above case with exception is fixed same query with hive.map.aggr=false give wrong results. Problem in this case is that while creating expression for aggregate function's argument we end up with wrong column info from underlying reduce sink operator. 



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