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Raghu Angadi commented on HDFS-516: ----------------------------------- 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) -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.