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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-4049) Cross-system causal tracing within Hadoop
Date Wed, 01 Oct 2008 10:45:44 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-4049?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12635994#action_12635994
] 

Hadoop QA commented on HADOOP-4049:
-----------------------------------

-1 overall.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12391172/HADOOP-4049.7-rpc.patch
  against trunk revision 700628.

    +1 @author.  The patch does not contain any @author tags.

    +1 tests included.  The patch appears to include 9 new or modified tests.

    +1 javadoc.  The javadoc tool did not generate any warning messages.

    +1 javac.  The applied patch does not increase the total number of javac compiler warnings.

    -1 findbugs.  The patch appears to introduce 2 new Findbugs warnings.

    +1 Eclipse classpath. The patch retains Eclipse classpath integrity.

    -1 core tests.  The patch failed core unit tests.

    +1 contrib tests.  The patch passed contrib unit tests.

Test results: http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3410/testReport/
Findbugs warnings: http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3410/artifact/trunk/build/test/findbugs/newPatchFindbugsWarnings.html
Checkstyle results: http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3410/artifact/trunk/build/test/checkstyle-errors.html
Console output: http://hudson.zones.apache.org/hudson/job/Hadoop-Patch/3410/console

This message is automatically generated.

> Cross-system causal tracing within Hadoop
> -----------------------------------------
>
>                 Key: HADOOP-4049
>                 URL: https://issues.apache.org/jira/browse/HADOOP-4049
>             Project: Hadoop Core
>          Issue Type: New Feature
>          Components: dfs, ipc, mapred
>    Affects Versions: 0.18.0, 0.18.1
>            Reporter: George Porter
>         Attachments: HADOOP-4049.2-ipc.patch, HADOOP-4049.3-ipc.patch, HADOOP-4049.4-rpc.patch,
HADOOP-4049.6-rpc.patch, HADOOP-4049.7-rpc.patch, HADOOP-4049.patch, multiblockread.png, multiblockwrite.png
>
>
> Much of Hadoop's behavior is client-driven, with clients responsible for contacting individual
datanodes to read and write data, as well as dividing up work for map and reduce tasks.  In
a large deployment with many concurrent users, identifying the effects of individual clients
on the infrastructure is a challenge.  The use of data pipelining in HDFS and Map/Reduce make
it hard to follow the effects of a given client request through the system.
> This proposal is to instrument the HDFS, IPC, and Map/Reduce layers of Hadoop with X-Trace.
 X-Trace is an open-source framework for capturing causality of events in a distributed system.
 It can correlate operations making up a single user request, even if those operations span
multiple machines.  As an example, you could use X-Trace to follow an HDFS write operation
as it is pipelined through intermediate nodes.  Additionally, you could trace a single Map/Reduce
job and see how it is decomposed into lower-layer HDFS operations.
> Matei Zaharia and Andy Konwinski initially integrated X-Trace with a local copy of the
0.14 release, and I've brought that code up to release 0.17.  Performing the integration involves
modifying the IPC protocol, inter-datanode protocol, and some data structures in the map/reduce
layer to include 20-byte long tracing metadata.  With release 0.18, the generated traces could
be collected with Chukwa.
> I've attached some example traces of HDFS and IPC layers from the 0.17 patch to this
JIRA issue.
> More information about X-Trace is available from http://www.x-trace.net/ as well as in
a paper that appeared at NSDI 2007, available online at http://www.usenix.org/events/nsdi07/tech/fonseca.html

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