cassandra - Slicing over partition rows using tuple operation in CQL -
i trying understand behavior of tuple operator clustering keys. here trying do:
create table sampletable (a int,b int,c int, d int, e int, primary key((a,b,c),d,e)); insert sampletable(a,b,c,d,e) values(1,1,1,1,1); insert sampletable(a,b,c,d,e) values(1,1,1,1,1); insert sampletable(a,b,c,d,e) values(1,1,1,1,2); insert sampletable(a,b,c,d,e) values(1,1,2,1,1); insert sampletable(a,b,c,d,e) values(1,1,2,1,2); insert sampletable(a,b,c,d,e) values(1,1,2,2,3); insert sampletable(a,b,c,d,e) values(1,1,2,1,2); insert sampletable(a,b,c,d,e) values(1,1,1,2,3); cqlsh:mapro> select * sampletable; | b | c | d | e ---+---+---+---+--- 1 | 1 | 1 | 1 | 1 1 | 1 | 1 | 1 | 2 1 | 1 | 1 | 2 | 3 1 | 1 | 2 | 1 | 1 1 | 1 | 2 | 1 | 2 1 | 1 | 2 | 2 | 3 (6 rows) -- query1 cqlsh:mapro> select * sampletable a=1 , b=1 , c in (1,2) , (d,e)<(2,3); | b | c | d | e ---+---+---+---+--- 1 | 1 | 1 | 1 | 1 1 | 1 | 1 | 1 | 2 1 | 1 | 2 | 1 | 1 1 | 1 | 2 | 1 | 2 (4 rows) -- query2 cqlsh:mapro> select * sampletable a=1 , b=1 , c in (1,2) , (d,e)<(2,9); | b | c | d | e ---+---+---+---+--- 1 | 1 | 1 | 1 | 1 1 | 1 | 1 | 1 | 2 1 | 1 | 1 | 2 | 3 1 | 1 | 2 | 1 | 1 1 | 1 | 2 | 1 | 2 1 | 1 | 2 | 2 | 3 (6 rows) i not able understand why query 2 returning different results compared query 1. understanding cassandra apply partition key filtering first , tries apply tuple ordering i.e. (d,e)<(2,3) applied d<2 , on top of results apply e<3. wrong in understanding? please help.
in case of clustering columns, (a1, a2) < (b1, b2) can true in 1 of following cases:
1) a1 < b1 2) a1=b1 , a2 < b2 this how cassandra internally ordering based on clustering columns
based on this, results of query 1 , 2 per expectation.
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