leanken edited a comment on pull request #29304:
URL: https://github.com/apache/spark/pull/29304#issuecomment-667760805


   > > let's say there is a record
   > > (1, null, 3) in probe side, if there is a (1,2,3) in build side, it's 
counted as `MATCH` in comparison. basically if i want to avoid 0(M*N) which is 
loop look up in build side, i will have to expand (1,2,3) with all combination 
null padding new records like
   > > Original key expand to 2^3 -1 = 7X keys, and we can use probe side 
record (1, null, 3) to just directly hash loop up with such data duplication. I 
don't know if I make it clean for you @agrawaldevesh , it is a bit hard for me 
to explain in english. ^_^
   > > (1, 2,3 )
   > > (null, 2, 3)
   > > (1, null, 3)
   > > (1, 2, null)
   > > (null, null, 3)
   > > (null, 2, null)
   > > (1, null, null)
   > 
   > Let's consider for both steps 2 and 3 of section 6.2 in the NAAJ 
separately:
   > 
   > * Step 2: Say there is a right (build) side row (1, null, 3). It should be 
counted as a match against a row on the left side (1, 2, 3). What makes this 
tricky is that say say you have a build row (1, 5, 3), then (1, 5, 3) should 
NOT match the probe row (1, 2, 3). But if you explode (1, 5, 3) into a (1, 
null, 3) then it might incorrectly match (1, 2, 3). How do you handle both of 
these subcases ?
   > * Step 3: Consider a build row (1, 5, null), it should match the left row 
(1, null, 3). In addition, it should not match the build row (1, 5, 7). How do 
you handle these subcases ?
   
   After we expand data in BuildSide
   streamedSide (1 , 2, 3) and buildSide (1, null, 3) is not counted as a 
Match, we are looking for exactly same UnsafeRow, which has same hashCode, 
therefore we can use streamedUnsafeRow as key to look up in HashedRelation.
   
   it's a bit tricky, but to sum up. After the expansion, I need to find exact 
same match include null column from streamedSide in HashedRelation, which is 
counted as a Match.


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