Details
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Improvement
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Status: Closed
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Minor
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Resolution: Fixed
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1.1.0
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None
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None
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spark 2.1,presto 0.166
Description
Inaccurate result displays while using covar_pop and covar_samp aggregate functions in presto integration..
Steps to reproduce :
1. In CarbonData:
a) Create table:
CREATE TABLE uniqdata (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' TBLPROPERTIES ("TABLE_BLOCKSIZE"= "256 MB");
b) Load data :
LOAD DATA INPATH 'hdfs://localhost:54310/2000_UniqData.csv' into table uniqdata 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');
2. In presto
Execute the query:
1.) select covar_pop(BIGINT_COLUMN1,BIGINT_COLUMN1) as a from (select BIGINT_COLUMN1 from uniqdata order by BIGINT_COLUMN1) t
Actual result:
In CarbonData :
"-----------------------+
| a |
-----------------------+
| 6.158207330830757E20 |
-----------------------+
1 row selected (0.86 seconds)"
In presto:
" a
-------------
6.158207E20
(1 row)
Query 20170419_063811_00020_khh7w, FINISHED, 1 node
Splits: 35 total, 35 done (100.00%)
0:00 [2.01K rows, 1.97KB] [8.39K rows/s, 8.21KB/s]"
2.)select covar_samp(BIGINT_COLUMN1,BIGINT_COLUMN1) as a from (select BIGINT_COLUMN1 from uniqdata order by BIGINT_COLUMN1) t
Actual result:
In CarbonData:
"-----------------------+
| a |
-----------------------+
| 6.161286434496173E20 |
-----------------------+
1 row selected (0.764 seconds)"
In presto:
" a
-------------
6.161286E20
(1 row)
Query 20170419_070158_00021_khh7w, FINISHED, 1 node
Splits: 35 total, 35 done (100.00%)
0:00 [2.01K rows, 1.97KB] [7.09K rows/s, 6.94KB/s]"
Expected result :it should display the same result as showing in CarbonData.