> avg with Aggregate table for double data type is failed.
> ---------------------------------------------------------
>
> Key: CARBONDATA-2030
> URL:
https://issues.apache.org/jira/browse/CARBONDATA-2030> Project: CarbonData
> Issue Type: Bug
> Reporter: Babulal
> Assignee: Babulal
> Priority: Major
> Fix For: 1.3.0
>
> Time Spent: 2h 50m
> Remaining Estimate: 0h
>
> spark.sql("drop table if exists y ")
> spark.sql("create table y(year int,month int,name string,salary double) stored by 'carbondata' tblproperties('sort_scope'='Global_sort','table_blocksize'='23','sort_columns'='month,year,name')")
> spark.sql("insert into y select 10,11,'babu',12.89")
> spark.sql("insert into y select 10,11,'babu',12.89")
> spark.sql("create datamap y1_sum1 on table y using 'preaggregate' as select name,avg(salary) from y group by name")
> spark.sql("select name,avg(salary) from y group by name").show(false)
>
>
> Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot resolve '(sum(y_y1_sum1.`y_salary_sum`) / sum(y_y1_sum1.`y_salary_count`))' due to data type mismatch: differing types in '(sum(y_y1_sum1.`y_salary_sum`) / sum(y_y1_sum1.`y_salary_count`))' (double and bigint).;;
> 'Aggregate [y_name#25], [y_name#25 AS name#41, (sum(y_salary_sum#26) / sum(y_salary_count#27L)) AS avg(salary)#46]
> +- Relation[y_name#25,y_salary_sum#26,y_salary_count#27L] CarbonDatasourceHadoopRelation [ Database name :default, Table name :y_y1_sum1, Schema :Some(StructType(StructField(y_name,StringType,true), StructField(y_salary_sum,DoubleType,true), StructField(y_salary_count,LongType,true))) ]
>
Locked
