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https://issues.apache.org/jira/browse/HBASE-9969?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matt Corgan updated HBASE-9969:
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Attachment: hbase-9969-pq-v2.patch
KeyValueHeapBenchmark_v2.ods
attaching hbase-9969-pq-v2.patch and KeyValueHeapBenchmark_v2.ods
* this patch will hopefully apply (previous one accidentally had
BenchmarkableKeyValueHeap.java in the src/test directory)
* KeyValueScannerPriorityQueue is no longer based on PriorityQueue. it's now a
custom implementation with class comments explaining
* KeyValueScannerHeap (based on KeyValueScannerPriorityQueue) looks to beat the
existing KeyValueHeap in all cases (tested up to 32 scanners)
* LoserTree is usually faster with more scanners, but still slower when many
consecutive KVs come from the same scanner
> Improve KeyValueHeap using loser tree
> -------------------------------------
>
> Key: HBASE-9969
> URL: https://issues.apache.org/jira/browse/HBASE-9969
> Project: HBase
> Issue Type: Improvement
> Components: Performance, regionserver
> Reporter: Chao Shi
> Assignee: Chao Shi
> Fix For: 0.98.0, 0.96.1
>
> Attachments: 9969-0.94.txt, KeyValueHeapBenchmark_v1.ods,
> KeyValueHeapBenchmark_v2.ods, hbase-9969-pq-v1.patch, hbase-9969-pq-v2.patch,
> hbase-9969-v2.patch, hbase-9969-v3.patch, hbase-9969.patch, hbase-9969.patch,
> kvheap-benchmark.png, kvheap-benchmark.txt
>
>
> LoserTree is the better data structure than binary heap. It saves half of the
> comparisons on each next(), though the time complexity is on O(logN).
> Currently A scan or get will go through two KeyValueHeaps, one is merging KVs
> read from multiple HFiles in a single store, the other is merging results
> from multiple stores. This patch should improve the both cases whenever CPU
> is the bottleneck (e.g. scan with filter over cached blocks, HBASE-9811).
> All of the optimization work is done in KeyValueHeap and does not change its
> public interfaces. The new code looks more cleaner and simpler to understand.
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