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https://issues.apache.org/jira/browse/MAPREDUCE-6729?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
mingleizhang updated MAPREDUCE-6729:
------------------------------------
Description:
When doing DFSIO test as a distributed i/o benchmark tool. Then especially
writes plenty of files to disk or read from, both can cause performance issue
and imprecise value in a way. The question is that existing practices needs to
delete files when before running a job and that will cause extra time
consumption and furthermore cause performance issue, statistical time error and
imprecise throughput as the files are lots of. So we need to replace or improve
this hack to prevent this from happening in the future.
{code}
public static void testWrite() throws Exception {
FileSystem fs = cluster.getFileSystem();
long tStart = System.currentTimeMillis();
bench.writeTest(fs); // this line of code will cause extra time consumption
as fs.delete(*,*) by the writeTest method
long execTime = System.currentTimeMillis() - tStart;
bench.analyzeResult(fs, TestType.TEST_TYPE_WRITE, execTime);
}
private void writeTest(FileSystem fs) throws IOException {
Path writeDir = getWriteDir(config);
fs.delete(getDataDir(config), true);
fs.delete(writeDir, true);
runIOTest(WriteMapper.class, writeDir);
}
{code}
[https://github.com/apache/hadoop/blob/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/fs/TestDFSIO.java]
was:
When doing DFSIO test as a distributed i/o benchmark tool. Then especially
writes plenty of files to disk or read from, both can cause performance issue
and imprecise value in a way. The question is that existing practices needs to
delete files when before running a job and that will cause extra time
consumption and furthermore cause performance issue, statistical time error and
imprecise throughput while the files are lots of. So we need to replace or
improve this hack to prevent this from happening in the future.
{code}
public static void testWrite() throws Exception {
FileSystem fs = cluster.getFileSystem();
long tStart = System.currentTimeMillis();
bench.writeTest(fs); // this line of code will cause extra time consumption
as fs.delete(*,*) by the writeTest method
long execTime = System.currentTimeMillis() - tStart;
bench.analyzeResult(fs, TestType.TEST_TYPE_WRITE, execTime);
}
private void writeTest(FileSystem fs) throws IOException {
Path writeDir = getWriteDir(config);
fs.delete(getDataDir(config), true);
fs.delete(writeDir, true);
runIOTest(WriteMapper.class, writeDir);
}
{code}
[https://github.com/apache/hadoop/blob/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/fs/TestDFSIO.java]
> Accurately compute the test execute time in DFSIO
> -------------------------------------------------
>
> Key: MAPREDUCE-6729
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6729
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: benchmarks, performance, test
> Affects Versions: 2.9.0
> Reporter: mingleizhang
> Assignee: mingleizhang
> Priority: Minor
> Labels: performance, test
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: MAPREDUCE-6729.001.patch, MAPREDUCE-6729.002.patch
>
>
> When doing DFSIO test as a distributed i/o benchmark tool. Then especially
> writes plenty of files to disk or read from, both can cause performance issue
> and imprecise value in a way. The question is that existing practices needs
> to delete files when before running a job and that will cause extra time
> consumption and furthermore cause performance issue, statistical time error
> and imprecise throughput as the files are lots of. So we need to replace or
> improve this hack to prevent this from happening in the future.
> {code}
> public static void testWrite() throws Exception {
> FileSystem fs = cluster.getFileSystem();
> long tStart = System.currentTimeMillis();
> bench.writeTest(fs); // this line of code will cause extra time
> consumption as fs.delete(*,*) by the writeTest method
> long execTime = System.currentTimeMillis() - tStart;
> bench.analyzeResult(fs, TestType.TEST_TYPE_WRITE, execTime);
> }
> private void writeTest(FileSystem fs) throws IOException {
> Path writeDir = getWriteDir(config);
> fs.delete(getDataDir(config), true);
> fs.delete(writeDir, true);
> runIOTest(WriteMapper.class, writeDir);
> }
> {code}
> [https://github.com/apache/hadoop/blob/trunk/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-jobclient/src/test/java/org/apache/hadoop/fs/TestDFSIO.java]
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