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Posted to issues@hive.apache.org by "Hari Sankar Sivarama Subramaniyan (JIRA)" <ji...@apache.org> on 2015/08/25 02:17:46 UTC
[jira] [Updated] (HIVE-11634) Support partition pruning for
IN(STRUCT(partcol, nonpartcol..)...)
[ https://issues.apache.org/jira/browse/HIVE-11634?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hari Sankar Sivarama Subramaniyan updated HIVE-11634:
-----------------------------------------------------
Description:
Currently, we do not support partition pruning for the following scenario
{code}
create table pcr_t1 (key int, value string) partitioned by (ds string);
insert overwrite table pcr_t1 partition (ds='2000-04-08') select * from src where key < 20 order by key;
insert overwrite table pcr_t1 partition (ds='2000-04-09') select * from src where key < 20 order by key;
insert overwrite table pcr_t1 partition (ds='2000-04-10') select * from src where key < 20 order by key;
explain extended select ds from pcr_t1 where struct(ds, key) in (struct('2000-04-08',1), struct('2000-04-09',2));
{code}
If we run the above query, we see that all the partitions of table pcr_t1 are present in the filter predicate where as we can prune partition (ds='2000-04-10').
The optimization is to rewrite the above query into 2 IN clauses one containing partition columns and the other containing non-partition columns as follows.
{code}
explain extended select ds from pcr_t1 where (struct(key) IN (struct(1), struct(2))) and (struct(ds)) IN (struct('2000-04-08'), struct('2000-04-09'));
{code}
This is an extension of the idea presented in HIVE-11573.
> Support partition pruning for IN(STRUCT(partcol, nonpartcol..)...)
> ------------------------------------------------------------------
>
> Key: HIVE-11634
> URL: https://issues.apache.org/jira/browse/HIVE-11634
> Project: Hive
> Issue Type: Bug
> Reporter: Hari Sankar Sivarama Subramaniyan
> Assignee: Hari Sankar Sivarama Subramaniyan
>
> Currently, we do not support partition pruning for the following scenario
> {code}
> create table pcr_t1 (key int, value string) partitioned by (ds string);
> insert overwrite table pcr_t1 partition (ds='2000-04-08') select * from src where key < 20 order by key;
> insert overwrite table pcr_t1 partition (ds='2000-04-09') select * from src where key < 20 order by key;
> insert overwrite table pcr_t1 partition (ds='2000-04-10') select * from src where key < 20 order by key;
> explain extended select ds from pcr_t1 where struct(ds, key) in (struct('2000-04-08',1), struct('2000-04-09',2));
> {code}
> If we run the above query, we see that all the partitions of table pcr_t1 are present in the filter predicate where as we can prune partition (ds='2000-04-10').
> The optimization is to rewrite the above query into 2 IN clauses one containing partition columns and the other containing non-partition columns as follows.
> {code}
> explain extended select ds from pcr_t1 where (struct(key) IN (struct(1), struct(2))) and (struct(ds)) IN (struct('2000-04-08'), struct('2000-04-09'));
> {code}
> This is an extension of the idea presented in HIVE-11573.
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