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https://issues.apache.org/jira/browse/HADOOP-2488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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stack updated HADOOP-2488:
--------------------------
Fix Version/s: 0.16.0
Status: Patch Available (was: Open)
Get a +1 from hudson so can get this committed.
> Random reads in mapfile are ~40% slower in TRUNK than they are in 0.15.x
> ------------------------------------------------------------------------
>
> Key: HADOOP-2488
> URL: https://issues.apache.org/jira/browse/HADOOP-2488
> Project: Hadoop
> Issue Type: Bug
> Reporter: stack
> Fix For: 0.16.0
>
> Attachments: HADOOP-2488.patch
>
>
> Opening a mapfile on hdfs and then doing 100k random reads inside the open
> file takes 3 times longer to complete in TRUNK than same test run on 0.15.x.
> Random read performance is important to hbase.
> Serial reads and writes perform about the same in TRUNK and 0.15.x.
> Below are 3 runs done against 0.15 of the mapfile test that can be found in
> hbase followed by 2 runs done against TRUNK:
> 0.15 branch
> {code}
> [EMAIL PROTECTED] hbase]$ for i in 1 2 3; do ./bin/hbase
> org.apache.hadoop.hbase.PerformanceEvaluation mapfile 1; done
> 07/12/24 18:34:50 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 07/12/24 18:34:50 INFO hbase.PerformanceEvaluation: Writing 100000 rows to
> hdfs://XXXX:9123/user/?/performanceevaluation.mapfile
> 07/12/24 18:35:13 INFO hbase.PerformanceEvaluation: Writing 100000 records
> took 23644ms (Note: generation of keys and values is done inline and has been
> seen to consume significant time: e.g. ~30% of cpu time
> 07/12/24 18:35:13 INFO hbase.PerformanceEvaluation: Reading 100000 random rows
> ....
> 07/12/24 18:37:23 INFO hbase.PerformanceEvaluation: Reading 100000 random
> records took 129879ms (Note: generation of random key is done in line and
> takes a significant amount of cpu time: e.g 10-15%
> 07/12/24 18:37:23 INFO hbase.PerformanceEvaluation: Reading 100000 rows
> sequentially
> 07/12/24 18:37:25 INFO hbase.PerformanceEvaluation: Reading 100000 records
> serially took 1832ms
> 07/12/24 18:37:26 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 07/12/24 18:37:26 INFO hbase.PerformanceEvaluation: Writing 100000 rows to
> hdfs://XXXXX:9123/user/?/performanceevaluation.mapfile
> 07/12/24 18:37:50 INFO hbase.PerformanceEvaluation: Writing 100000 records
> took 24188ms (Note: generation of keys and values is done inline and has been
> seen to consume significant time: e.g. ~30% of cpu time
> 07/12/24 18:37:50 INFO hbase.PerformanceEvaluation: Reading 100000 random rows
> ...
> 07/12/24 18:39:58 INFO hbase.PerformanceEvaluation: Reading 100000 random
> records took 127879ms (Note: generation of random key is done in line and
> takes a significant amount of cpu time: e.g 10-15%
> 07/12/24 18:39:58 INFO hbase.PerformanceEvaluation: Reading 100000 rows
> sequentially
> 07/12/24 18:40:00 INFO hbase.PerformanceEvaluation: Reading 100000 records
> serially took 1787ms
> 07/12/24 18:40:01 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 07/12/24 18:40:01 INFO hbase.PerformanceEvaluation: Writing 100000 rows to
> hdfs://XXXX:9123/user/?/performanceevaluation.mapfile
> 07/12/24 18:40:24 INFO hbase.PerformanceEvaluation: Writing 100000 records
> took 23832ms (Note: generation of keys and values is done inline and has been
> seen to consume significant time: e.g. ~30% of cpu time
> 07/12/24 18:40:24 INFO hbase.PerformanceEvaluation: Reading 100000 random rows
> ..
> 07/12/24 18:42:31 INFO hbase.PerformanceEvaluation: Reading 100000 random
> records took 126954ms (Note: generation of random key is done in line and
> takes a significant amount of cpu time: e.g 10-15%
> 07/12/24 18:42:31 INFO hbase.PerformanceEvaluation: Reading 100000 rows
> sequentially
> 07/12/24 18:42:33 INFO hbase.PerformanceEvaluation: Reading 100000 records
> serially took 1766ms
> 07/12/24 17:24:25 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 07/12/24 17:24:25 INFO hbase.PerformanceEvaluation: Writing 100000 rows to
> hdfs://XXXXX:9123/user/?/performanceevaluation.mapfile
> 07/12/24 17:24:49 INFO hbase.PerformanceEvaluation: Writing 100000 records
> took 24181ms (Note: generation of keys and values is done inline and has been
> seen to consume significant time: e.g. ~30% of cpu time
> 07/12/24 17:24:49 INFO hbase.PerformanceEvaluation: Reading 100000 random rows
> ...
> 07/12/24 17:26:59 INFO hbase.PerformanceEvaluation: Reading 100000 random
> records took 129564ms (Note: generation of random key is done in line and
> takes a significant amount of cpu time: e.g 10-15%
> 07/12/24 17:26:59 INFO hbase.PerformanceEvaluation: Reading 100000 rows
> sequentially
> 07/12/24 17:27:00 INFO hbase.PerformanceEvaluation: Reading 100000 records
> serially took 1793ms
> {code}
> TRUNK
> {code}
> [EMAIL PROTECTED] hbase]$ ./bin/hbase
> org.apache.hadoop.hbase.PerformanceEvaluation mapfile 1
> 07/12/24 18:02:26 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 07/12/24 18:02:26 INFO hbase.PerformanceEvaluation: Writing 100000 rows to
> hdfs://XXXX3/user/?/performanceevaluation.mapfile
> 07/12/24 18:02:51 INFO hbase.PerformanceEvaluation: Writing 100000 records
> took 25500ms (Note: generation of keys and values is done inline and has been
> seen to consume significant time: e.g. ~30% of cpu time
> 07/12/24 18:02:51 INFO hbase.PerformanceEvaluation: Reading 100000 random rows
> ....
> 07/12/24 18:11:11 INFO hbase.PerformanceEvaluation: Reading 100000 random
> records took 500306ms (Note: generation of random key is done in line and
> takes a significant amount of cpu time: e.g 10-15%
> 07/12/24 18:11:11 INFO hbase.PerformanceEvaluation: Reading 100000 rows
> sequentially
> 07/12/24 18:11:13 INFO hbase.PerformanceEvaluation: Reading 100000 records
> serially took 1940ms
> [EMAIL PROTECTED] hbase]$ ./bin/hbase
> org.apache.hadoop.hbase.PerformanceEvaluation mapfile 1
> 07/12/24 18:12:46 WARN util.NativeCodeLoader: Unable to load native-hadoop
> library for your platform... using builtin-java classes where applicable
> 07/12/24 18:12:46 INFO hbase.PerformanceEvaluation: Writing 100000 rows to
> hdfs://XXXX/user/?/performanceevaluation.mapfile
> 07/12/24 18:13:12 INFO hbase.PerformanceEvaluation: Writing 100000 records
> took 25593ms (Note: generation of keys and values is done inline and has been
> seen to consume significant time: e.g. ~30% of cpu time
> 07/12/24 18:13:12 INFO hbase.PerformanceEvaluation: Reading 100000 random rows
> ...
> 07/12/24 18:22:16 INFO hbase.PerformanceEvaluation: Reading 100000 random
> records took 543992ms (Note: generation of random key is done in line and
> takes a significant amount of cpu time: e.g 10-15%
> 07/12/24 18:22:16 INFO hbase.PerformanceEvaluation: Reading 100000 rows
> sequentially
> 07/12/24 18:22:18 INFO hbase.PerformanceEvaluation: Reading 100000 records
> serially took 1786ms
> {code}
> Above was done on a small hdfs cluster of 4 machines with each a dfs node.
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