[ https://issues.apache.org/jira/browse/HIVE-24221?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17206086#comment-17206086 ] Stamatis Zampetakis commented on HIVE-24221: -------------------------------------------- There are various ways to create a hash from composite keys/columns. Without any special effort to derive a perfect hash function we can do the following: Input columns: A, B, C, D +Option A:+ {noformat} hash(hash(hash(A, B), C), D) {noformat} +Option B:+ {noformat} 31*(31*(31 * hash(A) + hash(B)) + hash(C)) + hash(D) {noformat} The second option is more or less what happens currently when we write hash(A, B, C, D) in the non-vectorized implementation of GenericUDFMurmurHash. The first option although it looks simpler is computationally more expensive. > Use vectorizable expression to combine multiple columns in semijoin bloom filters > --------------------------------------------------------------------------------- > > Key: HIVE-24221 > URL: https://issues.apache.org/jira/browse/HIVE-24221 > Project: Hive > Issue Type: Improvement > Components: Query Planning > Environment: > Reporter: Stamatis Zampetakis > Assignee: Stamatis Zampetakis > Priority: Major > Labels: pull-request-available > Time Spent: 10m > Remaining Estimate: 0h > > Currently, multi-column semijoin reducers use an n-ary call to GenericUDFMurmurHash to combine multiple values into one, which is used as an entry to the bloom filter. However, there are no vectorized operators that treat n-ary inputs. The same goes for the vectorized implementation of GenericUDFMurmurHash introduced in HIVE-23976. > The goal of this issue is to choose an alternative way to combine multiple values into one to pass in the bloom filter comprising only vectorized operators. -- This message was sent by Atlassian Jira (v8.3.4#803005)