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https://issues.apache.org/jira/browse/ASTERIXDB-1556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15420146#comment-15420146
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Jianfeng Jia commented on ASTERIXDB-1556:
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In the dataflow related algorithm implementations, we usually assume the
append-only data flow, which makes the code cleaner and performs better. I
would suggest considering the approach that [~buyingyi] mentioned last week,
which builds a bunch of independent hashtables for each partition instead of
building a global hashtable. We don't need to change the hashtable code. In
case of spilling, we just "delete" that hashtable.
> Hash Table used by External hash group-by doesn't conform to the budget.
> ------------------------------------------------------------------------
>
> Key: ASTERIXDB-1556
> URL: https://issues.apache.org/jira/browse/ASTERIXDB-1556
> Project: Apache AsterixDB
> Issue Type: Bug
> Reporter: Taewoo Kim
> Assignee: Taewoo Kim
> Attachments: 2wayjoin.pdf, 2wayjoin.rtf, 2wayjoinplan.rtf,
> 3wayjoin.pdf, 3wayjoin.rtf, 3wayjoinplan.rtf
>
>
> When we enable prefix-based fuzzy-join and apply the multi-way fuzzy-join ( >
> 2), the system generates an out-of-memory exception.
> Since a fuzzy-join is created using 30-40 lines of AQL codes and this AQL is
> translated into massive number of operators (more than 200 operators in the
> plan for a 3-way fuzzy join), it could generate out-of-memory exception.
> /// Update: as the discussion goes, we found that hash table in the external
> hash group by doesn't conform to the frame limit. So, an out of memory
> exception happens during the execution of an external hash group by operator.
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