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Anoop Sam John commented on HBASE-20188: ---------------------------------------- PE command hbase org.apache.hadoop.hbase.PerformanceEvaluation --nomapred --presplit=40 --size=30 --columns=10 --valueSize=100 --writeToWAL=false --inmemoryCompaction=NONE randomWrite 100 The exact numbers I need to calc. But the net PE run time is 3x for 2.0 compared to 1.4.2 > [TESTING] Performance > --------------------- > > Key: HBASE-20188 > URL: https://issues.apache.org/jira/browse/HBASE-20188 > Project: HBase > Issue Type: Umbrella > Components: Performance > Reporter: stack > Assignee: stack > Priority: Blocker > Fix For: 2.0.0 > > Attachments: CAM-CONFIG-V01.patch, HBASE-20188-xac.sh, > HBASE-20188.sh, HBase 2.0 performance evaluation - 8GB(1).pdf, HBase 2.0 > performance evaluation - 8GB.pdf, HBase 2.0 performance evaluation - Basic vs > None_ system settings.pdf, ITBLL2.5B_1.2.7vs2.0.0_cpu.png, > ITBLL2.5B_1.2.7vs2.0.0_gctime.png, ITBLL2.5B_1.2.7vs2.0.0_iops.png, > ITBLL2.5B_1.2.7vs2.0.0_load.png, ITBLL2.5B_1.2.7vs2.0.0_memheap.png, > ITBLL2.5B_1.2.7vs2.0.0_memstore.png, ITBLL2.5B_1.2.7vs2.0.0_ops.png, > ITBLL2.5B_1.2.7vs2.0.0_ops_NOT_summing_regions.png, YCSB_CPU.png, > YCSB_GC_TIME.png, YCSB_IN_MEMORY_COMPACTION=NONE.ops.png, YCSB_MEMSTORE.png, > YCSB_OPs.png, YCSB_in-memory-compaction=NONE.ops.png, YCSB_load.png, > flamegraph-1072.1.svg, flamegraph-1072.2.svg, hbase-env.sh, hbase-site.xml, > hbase-site.xml, hits.png, lock.127.workloadc.20180402T200918Z.svg, > lock.2.memsize2.c.20180403T160257Z.svg, perregion.png, run_ycsb.sh, > total.png, tree.txt, workloadx, workloadx > > > How does 2.0.0 compare to old versions? Is it faster, slower? There is rumor > that it is much slower, that the problem is the asyncwal writing. Does > in-memory compaction slow us down or speed us up? What happens when you > enable offheaping? > Keep notes here in this umbrella issue. Need to be able to say something > about perf when 2.0.0 ships. -- This message was sent by Atlassian JIRA (v7.6.3#76005)