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https://issues.apache.org/jira/browse/HDFS-516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12756214#action_12756214
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Raghu Angadi commented on HDFS-516:
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When you get a change please point me to the streaming test/benchmark.
bq. After I get those, my roadmap for this is to add checksum support and
better DatanodeInfo caching. User groups would come after that.
Unless you want to add checksums for better comparison, I don't think it is
every essential. You need not spend much time on getting feature parity with
HDFS.
For more users to benefit from your work, I think it is better to extract the
features that are complementary to HDFS. and we can work on getting those into
HDFS.
> Low Latency distributed reads
> -----------------------------
>
> Key: HDFS-516
> URL: https://issues.apache.org/jira/browse/HDFS-516
> Project: Hadoop HDFS
> Issue Type: New Feature
> Reporter: Jay Booth
> Priority: Minor
> Attachments: hdfs-516-20090912.patch
>
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> I created a method for low latency random reads using NIO on the server side
> and simulated OS paging with LRU caching and lookahead on the client side.
> Some applications could include lucene searching (term->doc and doc->offset
> mappings are likely to be in local cache, thus much faster than nutch's
> current FsDirectory impl and binary search through record files (bytes at
> 1/2, 1/4, 1/8 marks are likely to be cached)
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