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From "Sangeeta Gulia (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CARBONDATA-1956) Select query with sum, count and avg throws exception for pre aggregate table
Date Mon, 29 Jan 2018 08:07:00 GMT

    [ https://issues.apache.org/jira/browse/CARBONDATA-1956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16343035#comment-16343035
] 

Sangeeta Gulia commented on CARBONDATA-1956:
--------------------------------------------

[~geetikagupta] This issue is not coming on current master branch code. It is working fine.
Please close this bug.

> Select query with sum, count and avg throws exception for pre aggregate table
> -----------------------------------------------------------------------------
>
>                 Key: CARBONDATA-1956
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1956
>             Project: CarbonData
>          Issue Type: Bug
>          Components: data-query
>    Affects Versions: 1.3.0
>         Environment: spark2.1
>            Reporter: Geetika Gupta
>            Priority: Major
>             Fix For: 1.3.0
>
>         Attachments: 2000_UniqData.csv
>
>
> I create a datamap using the following command:
> create datamap uniqdata_agg_d on table uniqdata_29 using 'preaggregate' as select sum(decimal_column1),
count(cust_id), avg(bigint_column1) from uniqdata_29 group by cust_id;
> The datamap creation was successfull, but when I tried the following query:
> select sum(decimal_column1), count(cust_id), avg(bigint_column1) from uniqdata_29 group
by cust_id;
> It throws the following exception:
> Error: org.apache.spark.sql.AnalysisException: cannot resolve '(sum(uniqdata_29_uniqdata_agg_d.`uniqdata_29_bigint_column1_sum`)
/ sum(uniqdata_29_uniqdata_agg_d.`uniqdata_29_bigint_column1_count`))' due to data type mismatch:
'(sum(uniqdata_29_uniqdata_agg_d.`uniqdata_29_bigint_column1_sum`) / sum(uniqdata_29_uniqdata_agg_d.`uniqdata_29_bigint_column1_count`))'
requires (double or decimal) type, not bigint;;
> 'Aggregate [uniqdata_29_cust_id_count#244], [sum(uniqdata_29_decimal_column1_sum#243)
AS sum(decimal_column1)#274, sum(cast(uniqdata_29_cust_id_count#244 as bigint)) AS count(cust_id)#276L,
(sum(uniqdata_29_bigint_column1_sum#245L) / sum(uniqdata_29_bigint_column1_count#246L)) AS
avg(bigint_column1)#279]
> +- Relation[uniqdata_29_decimal_column1_sum#243,uniqdata_29_cust_id_count#244,uniqdata_29_bigint_column1_sum#245L,uniqdata_29_bigint_column1_count#246L]
CarbonDatasourceHadoopRelation [ Database name :28dec, Table name :uniqdata_29_uniqdata_agg_d,
Schema :Some(StructType(StructField(uniqdata_29_decimal_column1_sum,DecimalType(30,10),true),
StructField(uniqdata_29_cust_id_count,IntegerType,true), StructField(uniqdata_29_bigint_column1_sum,LongType,true),
StructField(uniqdata_29_bigint_column1_count,LongType,true))) ] (state=,code=0)
> Steps for creation of maintable:
> CREATE TABLE uniqdata_29(CUST_ID int,CUST_NAME String,ACTIVE_EMUI_VERSION string, DOB
timestamp, DOJ timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2 bigint,DECIMAL_COLUMN1 decimal(30,10),
DECIMAL_COLUMN2 decimal(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1
int) STORED BY 'org.apache.carbondata.format';
> Load command:
> LOAD DATA INPATH 'hdfs://localhost:54311/Files/2000_UniqData.csv' into table uniqdata_29
OPTIONS('DELIMITER'=',', 'QUOTECHAR'='"','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='CUST_ID,CUST_NAME,ACTIVE_EMUI_VERSION,DOB,DOJ,BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1,Double_COLUMN2,INTEGER_COLUMN1');
> Datamap creation command:
> create datamap uniqdata_agg_d on table uniqdata_29 using 'preaggregate' as select sum(decimal_column1),
count(cust_id), avg(bigint_column1) from uniqdata_29 group by cust_id;
> Note: select sum(decimal_column1), count(cust_id), avg(bigint_column1) from uniqdata_29
group by cust_id; executed successfully on maintable



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