[jira] [Comment Edited] (CARBONDATA-2537) MV Dataset - User queries with 'having' condition is not accessing the data from the MV datamap.

[Akash R Nilugal (Jira)]

    [ https://issues.apache.org/jira/browse/CARBONDATA-2537?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16524638#comment-16524638 ]

Prasanna Ravichandran edited comment on CARBONDATA-2537 at 6/27/18 6:25 AM:
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User "HAVING" queries are accessing the data from the created MV datamap only. User have to rebuild the datamap once, after creation. Closed.

!image-2018-06-27-11-54-31-158.png!


was (Author: prasanna ravichandran):
User queries are accessing the data from the created MV datamap. User have to rebuild the datamap once, after creation. Closed.

!image-2018-06-27-11-54-31-158.png!

> MV Dataset - User queries with 'having' condition is not accessing the data from the MV datamap.
> ------------------------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-2537
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-2537
>             Project: CarbonData
>          Issue Type: Bug
>          Components: data-query
>         Environment: 3 Node Opensource ANT cluster.
>            Reporter: Prasanna Ravichandran
>            Assignee: xubo245
>            Priority: Minor
>              Labels: Carbondata, MV, Materialistic_Views
>         Attachments: data.csv, image-2018-05-25-15-50-23-903.png, image-2018-06-27-11-53-49-587.png, image-2018-06-27-11-54-31-158.png
>
>
> User queries with 'having' condition is not accessing the data from the MV datamap. It is accessing the data from the Main table.
> Test queries - spark shell:
> scala>carbon.sql("CREATE TABLE originTable (empno int, empname String, designation String, doj Timestamp, workgroupcategory int, workgroupcategoryname String, deptno int, deptname String, projectcode int, projectjoindate Timestamp, projectenddate Timestamp,attendance int, utilization int,salary int) STORED BY 'org.apache.carbondata.format'").show()
> ++
> ||
> ++
> ++
> scala>carbon.sql("LOAD DATA local inpath 'hdfs://hacluster/user/prasanna/data.csv' INTO TABLE originTable OPTIONS('DELIMITER'= ',', 'QUOTECHAR'= '\"','timestampformat'='dd-MM-yyyy')").show()
> ++
> ||
> ++
> ++
> scala> carbon.sql("select empno from originTable having salary>10000").show(200,false)
> +-----+
> |empno|
> +-----+
> |14 |
> |15 |
> |20 |
> |19 |
> +-----+
> scala> carbon.sql("create datamap mv_hav using 'mv' as select empno from originTable having salary>10000").show(200,false)
> ++
> ||
> ++
> ++
> scala> carbon.sql("explain select empno from originTable having salary>10000").show(200,false)
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
> |plan |
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
> |== CarbonData Profiler ==
> Table Scan on origintable
>  - total blocklets: 1
>  - filter: (salary <> null and salary > 10000)
>  - pruned by Main DataMap
>  - skipped blocklets: 0
>  |
> |== Physical Plan ==
> *Project [empno#1131]
> +- *BatchedScan CarbonDatasourceHadoopRelation [ Database name :default, Table name :origintable, Schema :Some(StructType(StructField(empno,IntegerType,true), StructField(empname,StringType,true), StructField(designation,StringType,true), StructField(doj,TimestampType,true), StructField(workgroupcategory,IntegerType,true), StructField(workgroupcategoryname,StringType,true), StructField(deptno,IntegerType,true), StructField(deptname,StringType,true), StructField(projectcode,IntegerType,true), StructField(projectjoindate,TimestampType,true), StructField(projectenddate,TimestampType,true), StructField(attendance,IntegerType,true), StructField(utilization,IntegerType,true), StructField(salary,IntegerType,true))) ] default.origintable[empno#1131] PushedFilters: [IsNotNull(salary), GreaterThan(salary,10000)]|
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
>  
>  
> !image-2018-05-25-15-50-23-903.png!

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