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From Apache Wiki <wikidi...@apache.org>
Subject [Hadoop Wiki] Trivial Update of "HowToUseJCarder" by ToddLipcon
Date Wed, 17 Feb 2010 07:28:12 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Hadoop Wiki" for change notification.

The "HowToUseJCarder" page has been changed by ToddLipcon.
http://wiki.apache.org/hadoop/HowToUseJCarder?action=diff&rev1=1&rev2=2

--------------------------------------------------

  = Overview =
- 
  From the [[http://jcarder.org/|JCarder website]]:
  
-   JCarder is an open source tool for finding potential deadlocks in concurrent multi-threaded
Java programs. It does this by instrumenting Java byte code dynamically (i.e., it is not a
tool for static code analysis) and looking for cycles in the graph of acquired locks.
+  . JCarder is an open source tool for finding potential deadlocks in concurrent multi-threaded
Java programs. It does this by instrumenting Java byte code dynamically (i.e., it is not a
tool for static code analysis) and looking for cycles in the graph of acquired locks.
  
  In particular, JCarder functions by recording each time a monitor lock is obtained or released
by any thread on any object. After the program has terminated, the recorded data can be analyzed
to look for lock inversion cycles. This doesn't tell us whether a deadlock occurred, but rather
whether a deadlock ''might'' occur in other possible thread interleavings of the program.
  
  = Effectiveness =
- 
  In general, the newest version of JCarder tends to have few false positives, as lock inversions
are almost always a very bad thing. However, JCarder is not exhaustive, as there are more
ways to produce a deadlock than lock inversion.
  
  = Getting JCarder =
- 
  The most recent JCarder release at the time of this writing (1.0.1) is too old to be used
with Hadoop. In particular, it is missing gated cycle detection, and therefore produces a
ton of false positives. Therefore, you must compile a trunk version of JCarder for the time
being. You can obtain a version that works well with Hadoop from Todd Lipcon's github repository:
  
  {{{
@@ -21, +18 @@

  $ cd jcarder
  $ git checkout -b cloudera origin/cloudera
  }}}
- 
  or, if you prefer not to use git:
  
  {{{
@@ -29, +25 @@

  $ tar xzvf toddlipcon-jcarder*tar.gz
  $ cd toddlipcon-jcarder-XXXXX
  }}}
- 
  Compile jcarder by running:
  
  {{{
  $ ./script/download-3pps.py
  $ ant dist
  }}}
- 
  = Starting Hadoop daemons with JCarder =
- 
  JCarder instruments the Hadoop daemons at runtime using the Java Agent functionality. You
simply have to pass the correct flag to the JVM in order to run a daemon under jcarder:
  
  {{{
@@ -47, +40 @@

  $ HADOOP_OPTS=-javaagent:/home/todd/toddlipcon-jcarder-1b7f1be/dist/jcarder.jar=outputdir=/tmp/jt-jcarder
./bin/mapred jobtracker &
  $ HADOOP_OPTS=-javaagent:/home/todd/toddlipcon-jcarder-1b7f1be/dist/jcarder.jar=outputdir=/tmp/tt-jcarder
./bin/hdfs tasktracker &
  }}}
- 
  The outputdir= option should point to a directory with at least few hundred MB of space
free, especially if you plan to run the daemon for a while. Each process should point to its
own outputdir.
  
  = Exercise the Code =
- 
  In order to be useful, JCarder needs visibility into all of the lock orders present in the
code. So, at this point you should exercise whichever code paths you are concerned about,
as well as any code paths you think it may deadlock with. For example, if testing a scheduler
for deadlocks, you should run several jobs and browse the JT web UI. Using a few mradmin commands
as well may exercise other code paths.
  
  = Shut down the cluster =
- 
  Simply kill the nodes like you normally would. They'll write their jcarder output to the
specified directories.
  
  = Analyze JCarder output =
+ Simply cd into each output directory in turn, and run jcarder.jar as a normal java executable.
  
- Simply cd into each output directory in turn, and run jcarder.jar as a normal java executable.
  {{{
  $ cd /tmp/jt-jcarder
  $ java -jar /path/to/jcarder.jar
  }}}
+ This will generate output something like:
  
- This will generate output something like:
  {{{
  Opening for reading: /tmp/jt-jcarder/jcarder_contexts.db
  Opening for reading: /tmp/jt-jcarder/jcarder_events.db
@@ -75, +65 @@

     Nodes: 3085
     Edges: 31411 (excluding 332593 duplicated)
  
- Cycle analysis result: 
+ Cycle analysis result:
     Cycles:          61
     Edges in cycles: 63
     Nodes in cycles: 3
@@ -87, +77 @@

  Writing Graphviz file: /tmp/jt-jcarder/jcarder_result_0.dot
  Writing Graphviz file: /tmp/jt-jcarder/jcarder_result_1.dot
  }}}
- 
  In this case, jcarder has identified two deadlocks (which I've introduced for the sake of
the example). The two .dot files are GraphViz format and can be viewed, for example, with
ImageMagick's "display" command or any number of other applications. It's a text format, but
the graphics are far easier to understand.
  
  = Interpreting the Output =
- 
  In the output, each circle represents a particular object seen while the process was running.
Arrows between them represent lock orders seen. An arrow leading from circle A to circle B
indicates that some thread locked A before B. For example, in the following diagram, we note
that many threads locked FairScheduler before JobInProgress, but one thread was seen to lock
JobInProgress before FairScheduler (thus presenting a deadlock). The text next to the arrow
indicates the particular functions that took the two locks.
  
+ {{http://imagebin.ca/img/%33%39%32gzi.png}}
+ 
  = Running JCarder on unit tests =
- 
  One can also run JCarder on all of the Hadoop unit tests. This has caught a number of bugs
in the past. To do so, follow something like the following script:
  
  {{{
@@ -112, +101 @@

  
  find $JC_OUTPUT -name \*.dot
  }}}
- 
  Note that this method actually will run JCarder on ant itself as well as the tests. I have
often seen cycles detected in ant, as well as third party libraries like hsqldb. Whitelist
support is forthcoming in JCarder so we can ignore these unrelated issues.
  

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