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https://issues.jboss.org/browse/ISPN-4372?page=com.atlassian.jira.plugin....
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Dan Berindei commented on ISPN-4372:
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Yes, please run the test with {{WordCountMapper}}. I would expect the memory usage of
Infinispan 6 to be only slightly worse than {{WordCountMapperEmitPerValue}} with 1k
values, especially if there are > 100 unique words.
It's true, we don't know whether the performance with {{WordCountMapper}} also
depends on the cache value size or not. But that's exactly why I wrote my comment,
we've been testing a single M/R job, so we can't really say how a generic M/R job
will perform (or even the same job but with a slightly different mapper).
Map/Reduce performance is dependent on cache value size
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Key: ISPN-4372
URL:
https://issues.jboss.org/browse/ISPN-4372
Project: Infinispan
Issue Type: Feature Request
Components: Distributed Execution and Map/Reduce
Affects Versions: 7.0.0.Alpha4
Reporter: Alan Field
Assignee: Vladimir Blagojevic
Labels: performance
Performance testing the Map/Reduce changes has shown that the performance improvements
vary based on the size of the values in the cache. [1] Using values from 8kB to 128kB
shows a large performance increase over Infinispan 6, but smaller and larger values are
the same or slower than Infinispan 6.
http://blog.infinispan.org/2014/06/mapreduce-performance-improvements.html
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