liyang created KYLIN-2617:
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             Summary: SUM when rewritten as TOPN does not give consistent 
(correct) result?
                 Key: KYLIN-2617
                 URL: https://issues.apache.org/jira/browse/KYLIN-2617
             Project: Kylin
          Issue Type: Bug
            Reporter: liyang


>From Tingmao Lin <z...@msn.com>

We found that SUM() query on a cardinality 1 dimension is not accurate (or "not 
correct") when automatically  rewritten as TOPN.
Is that the expected behavior of kylin or there are any other issue?

We built a cube on a table ( measure1: bigint, dim1_id:varchar, 
dim2_id:varchar, ... ) using kylin 1.6.0 (Kafka streaming source)

The cube has two measures: SUM(measure1) and 
TOPN(10,sum-orderby(measure1),group by dim2_id) . (other measures omitted)
and two dimensions  dim1_id, dim2_id   (other dims omitted)

About the source table data:  
The cardinality of dim1_id  is 1 (same dim1_id for all rows in the source table)
The cardinality of dim2_id  is 1 (same dim2_id for all rows in the source table)
The possible value of measure1 is [1,0,-1]
 
When we query
    "select SUM(measure1) FROM table GROUP BY dim2_id"                    =>    
 the result has one row:"sum=7",
      from the kylin logs we found that the query has been automatically  
rewritten as TOPN(measure1,sum-orderby(measure1),group by dim2_id)

When we write another query to prevent TOPN rewrite, for example: 

   "select SUM(measure1),count(*) FROM table GROUP BY dim2_id"     =>   one row 
-- "sum=-2,count=24576"

   "select SUM(measure1),count(*) FROM table"                                   
     =>   one row -- "sum=-2,count=24576"


The result is different (7 and -2) when rewritting to TOPN or not.


My question is: are the following behavior "works as expected" ,or TOPN 
algorithm does not support negative counter values very well , or any issue 
there?


1. SUM() query  automatically rewritten as TOPN and gives approximated result 
when no TOPN present in the query.

2. When cardinality is 1, TOPN does not give accurate result.





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