[jira] [Updated] (CARBONDATA-1076) Join Issue caused by dictionary and shuffle exchange

[Akash R Nilugal (Jira)]

     [ https://issues.apache.org/jira/browse/CARBONDATA-1076?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

chenerlu updated CARBONDATA-1076:
---------------------------------
       Affects Version/s: 0.1.1-incubating
                          1.1.0
    Request participants:   (was: )
             Component/s: core

> Join Issue caused by dictionary and shuffle exchange
> ----------------------------------------------------
>
>                 Key: CARBONDATA-1076
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1076
>             Project: CarbonData
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 0.1.1-incubating, 1.1.0
>         Environment: Carbon + spark 2.1
>            Reporter: chenerlu
>            Assignee: Ravindra Pesala
>
> We can reproduce this issue as following steps:
> Step1: create a carbon table
>  
> carbon.sql("CREATE TABLE IF NOT EXISTS carbon_table (col1 int, col2 int, col3 int) STORED by 'carbondata' TBLPROPERTIES('DICTIONARY_INCLUDE'='col1,col2,col3','TABLE_BLOCKSIZE'='4')")
>  
> Step2: load data
> carbon.sql("LOAD DATA LOCAL INPATH '/opt/carbon_table' INTO TABLE carbon_table")
>  
> you can get carbon_table file in attachment.
>  
> Step3: do the query
>  
> [expected] Hive table and parquet table get same result as below and it should be correct.
> |col1|col1|col3|
> |   1|null|null|
> |null|   4|   1|
> |   4|null|null|
> |null|   7|   1|
> |   7|null|null|
> |null|   1|   1|
>  
> [acutally] carbon will get null because wrong match.
> |col1|col1|col3|
> |   1|   1|   1|
> |   4|   4|   1|
> |   7|   7|   1|
> Root cause analysis:
>  
> It is because this query has two subquery, and one subquey do the decode after exchange and the other subquery do the decode before exchange, and this may lead to wrong match when execute full join.
>  
> My idea: Can we move decode before exchange ? Because I am not very familiar with Carbon query, so any idea about this ?
> Plan as follows:
>  
> == Physical Plan ==
> SortMergeJoin [col1#3445], [col1#3460], FullOuter
> :- Sort [col1#3445 ASC NULLS FIRST], false, 0
> :  +- Exchange hashpartitioning(col1#3445, 200)
> :     +- CarbonDictionaryDecoder [CarbonDecoderRelation(Map(col1#3445 -> col1#3445, col2#3446 -> col2#3446, col3#3447 -> col3#3447),CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ]), CarbonDecoderRelation(Map(col1#3460 -> col1#3460, col2#3461 -> col2#3461, col3#3462 -> col3#3462),CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ])], IncludeProfile(ArrayBuffer(col1#3445)), CarbonAliasDecoderRelation(), org.apache.spark.sql.CarbonSession@69e87cbe
> :        +- HashAggregate(keys=[col1#3445, col2#3446], functions=[], output=[col1#3445])
> :           +- Exchange hashpartitioning(col1#3445, col2#3446, 200)
> :              +- HashAggregate(keys=[col1#3445, col2#3446], functions=[], output=[col1#3445, col2#3446])
> :                 +- Scan CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ] tempdev.carbon_table[col1#3445,col2#3446]
> +- Sort [col1#3460 ASC NULLS FIRST], false, 0
>    +- CarbonDictionaryDecoder [CarbonDecoderRelation(Map(col1#3445 -> col1#3445, col2#3446 -> col2#3446, col3#3447 -> col3#3447),CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ]), CarbonDecoderRelation(Map(col1#3460 -> col1#3460, col2#3461 -> col2#3461, col3#3462 -> col3#3462),CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ])], IncludeProfile(ArrayBuffer(col1#3460)), CarbonAliasDecoderRelation(), org.apache.spark.sql.CarbonSession@69e87cbe
>       +- HashAggregate(keys=[col1#3460], functions=[count(col2#3461)], output=[col1#3460, col3#3436L])
>          +- Exchange hashpartitioning(col1#3460, 200)
>             +- HashAggregate(keys=[col1#3460], functions=[partial_count(col2#3461)], output=[col1#3460, count#3472L])
>                +- CarbonDictionaryDecoder [CarbonDecoderRelation(Map(col1#3445 -> col1#3445, col2#3446 -> col2#3446, col3#3447 -> col3#3447),CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ]), CarbonDecoderRelation(Map(col1#3460 -> col1#3460, col2#3461 -> col2#3461, col3#3462 -> col3#3462),CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ])], IncludeProfile(ArrayBuffer(col2#3461)), CarbonAliasDecoderRelation(), org.apache.spark.sql.CarbonSession@69e87cbe
>                   +- Scan CarbonDatasourceHadoopRelation [ Database name :tempdev, Table name :carbon_table, Schema :Some(StructType(StructField(col1,IntegerType,true), StructField(col2,IntegerType,true), StructField(col3,IntegerType,true))) ] tempdev.carbon_table[col1#3460,col2#3461]]

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