[CARBONDATA-2030] avg with Aggregate table for double data type is failed.

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 1.3.0
• Assignee: Babulal
• Reporter: Babulal
• Created: 15/Jan/18 16:38
• Updated: 17/Jan/18 19:29
• Resolved: 17/Jan/18 18:22

Description

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

+- Relationy_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))) ]

 

Issue Links

• links to: GitHub Pull Request #1807