http://apache-carbondata-dev-mailing-list-archive.168.s1.nabble.com/sparksql-query-result-is-not-same-as-persto-on-same-sql-tp28895p28898.html
Thanks Dylan, We are looking into the problem.
> hello all:
> i am use carbondata version is 1.2.0 and spark version is 1.6.0.
> in my test case
> 1.Creating a Table
> cc.sql("create table IF NOT EXISTS test.table5(id string,name
> String,city String,age int) stored by 'carbondata' *
> tblproperties('DICTIONARY_INCLUDE' = 'age')* ")
>
> 2.load csv data into table,data like this:
> id,name,city,age
> 1,david,shenzhen,31
> 88,eason,shenzhen,27
> 3,jarry,wuhan,35
>
> 3.select from sparksql,result is :
> +-----+--------+-----------+------+--+
> | id | name | city | age |
> +-----+--------+-----------+------+--+
> | 1 | david | shenzhen | 31 |
> | 3 | jarry | wuhan | 35 |
> | 88 | eason | shenzhen | 27 |
> +-----+--------+-----------+------+--+
> this result is correct
>
> 4.select from presto,result is:
> id | name | city | age
> ----+-------+----------+-----
> 1 | david | shenzhen | 3
> 3 | jarry | wuhan | 4
> 88 | eason | shenzhen | 2
> (3 rows)
> look at the age filed,is wrong
>
> I know why this happens because I used dictionary encoding in the age
> field。
>
> Can anyone help me with this problem?
>
>
>
>
>
>
> --
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>