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From "bright chen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (APEXMALHAR-2366) Apply BloomFilter to Bucket
Date Thu, 08 Dec 2016 18:01:58 GMT

    [ https://issues.apache.org/jira/browse/APEXMALHAR-2366?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15732915#comment-15732915
] 

bright chen commented on APEXMALHAR-2366:
-----------------------------------------

The Hadoop BloomFilter have serialization problem. And also introduce memory copy and garbage
collection due to create Key and copy byte array.

Going to implement the SliceBloomFilter for bucket case to avoid these problems

> Apply BloomFilter to Bucket
> ---------------------------
>
>                 Key: APEXMALHAR-2366
>                 URL: https://issues.apache.org/jira/browse/APEXMALHAR-2366
>             Project: Apache Apex Malhar
>          Issue Type: Improvement
>            Reporter: bright chen
>            Assignee: bright chen
>   Original Estimate: 192h
>  Remaining Estimate: 192h
>
> The bucket get() will check the cache and then check from the stored files if the entry
is not in the cache. The checking from files is a pretty heavy operation due to file seek.
> The chance of check from file is very high if the key range are large.
> Suggest to apply BloomFilter for bucket to reduce the chance read from file.
> If the buckets were managed by ManagedStateImpl, the entry of bucket would be very huge
and the BloomFilter maybe not useful after a while. But If the buckets were managed by ManagedTimeUnifiedStateImpl,
each bucket keep certain amount of entry and BloomFilter would be very useful.
> For implementation:
> The Guava already have BloomFilter and the interface are pretty simple and fit for our
case. But Guava 11 is not compatible with Guava 14 (Guava 11 use Sink while Guava 14 use PrimitiveSink).



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