> Sparksql query result is not same as presto on same sql
> --------------------------------------------------------
>
> Key: CARBONDATA-1920
> URL:
https://issues.apache.org/jira/browse/CARBONDATA-1920> Project: CarbonData
> Issue Type: Bug
> Components: presto-integration
> Affects Versions: 1.3.0
> Environment: spark2.1,presto 0.187
> Reporter: anubhav tarar
> Assignee: anubhav tarar
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> i 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。
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