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Posted to issues@carbondata.apache.org by "Ravindra Pesala (JIRA)" <ji...@apache.org> on 2018/07/20 09:55:00 UTC
[jira] [Commented] (CARBONDATA-2742) [MV] Wrong data displayed
after MV creation.
[ https://issues.apache.org/jira/browse/CARBONDATA-2742?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16550592#comment-16550592 ]
Ravindra Pesala commented on CARBONDATA-2742:
---------------------------------------------
This issue is duplicated by https://issues.apache.org/jira/browse/CARBONDATA-2530
> [MV] Wrong data displayed after MV creation.
> ----------------------------------------------
>
> Key: CARBONDATA-2742
> URL: https://issues.apache.org/jira/browse/CARBONDATA-2742
> Project: CarbonData
> Issue Type: Bug
> Reporter: Babulal
> Assignee: xuchuanyin
> Priority: Major
>
> 0: jdbc:hive2://10.18.16.173:23040/default> create table mytest_48 (rownumber int,name string, m1 int) stored by 'carbondata';
> +---------+--+
> | Result |
> +---------+--+
> +---------+--+
> No rows selected (1.267 seconds)
> 0: jdbc:hive2://10.18.16.173:23040/default> load data inpath 'hdfs://hacluster/tmp/babu/testdata_1.csv' into table mytest_48 ;
> +---------+--+
> | Result |
> +---------+--+
> +---------+–+
>
> 0: jdbc:hive2://10.18.16.173:23040/default> show datamap on table mytest_48;
> +--------------+------------+-------------------+---------------------+--+
> | DataMapName | ClassName | Associated Table | DataMap Properties |
> +--------------+------------+-------------------+---------------------+--+
> +--------------+------------+-------------------+---------------------+--+
> No rows selected (0.162 seconds)
> 0: jdbc:hive2://10.18.16.173:23040/default>
> 0: jdbc:hive2://10.18.16.173:23040/default> select * from mytest_48;
> +------------+-------+----------+--+
> | rownumber | name | m1 |
> +------------+-------+----------+--+
> | 1 | aaa | 1000 |
> | 2 | aaa | 65000 |
> | 3 | aaa | 1000000 |
> | 1 | ddd | 1000 |
> | 2 | ddd | 65000 |
> | 3 | ddd | 1000000 |
> +------------+-------+----------+--+
> 6 rows selected (1.266 seconds)
> 0: jdbc:hive2://10.18.16.173:23040/default> create datamap map9 using 'mv' as select sum(m1),name from mytest_48 group by name;
> +---------+--+
> | Result |
> +---------+--+
> +---------+--+
> No rows selected (0.82 seconds)
> 0: jdbc:hive2://10.18.16.173:23040/default> select sum(m1),name from mytest_48 group by name;
> +----------+-------+--+
> | sum(m1) | name |
> +----------+-------+--+
> +----------+-------+--+
> No rows selected (2.615 seconds)
> 0: jdbc:hive2://10.18.16.173:23040/default> explain select sum(m1),name from mytest_48 group by name;
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
> | plan |
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+--+
> | == CarbonData Profiler ==
> |
> | == Physical Plan ==
> *HashAggregate(keys=[mytest_48_name#297], functions=[sum(sum_m1#296L)])
> +- Exchange hashpartitioning(mytest_48_name#297, 200)
> +- *HashAggregate(keys=[mytest_48_name#297], functions=[partial_sum(sum_m1#296L)])
> +- *BatchedScan CarbonDatasourceHadoopRelation [ Database name :babu, Table name :map9_table, Schema :Some(StructType(StructField(sum_m1,LongType,true), StructField(mytest_48_name,StringType,true))) ] babu.map9_table[sum_m1#296L,mytest_48_name#297] |
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+–+
>
>
> Data in CSV
> rownumber,name,m1
> 1,aaa,1000
> 2,aaa,65000
> 3,aaa,1000000
> 1,ddd,1000
> 2,ddd,65000
> 3,ddd,1000000
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