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			391 lines
		
	
	
	
		
			13 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN">
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<HTML>
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<HEAD>
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  <link rel="stylesheet" href="designstyle.css">
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  <title>Gperftools Heap Profiler</title>
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</HEAD>
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<BODY>
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<p align=right>
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  <i>Last modified
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  <script type=text/javascript>
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    var lm = new Date(document.lastModified);
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    document.write(lm.toDateString());
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  </script></i>
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</p>
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<p>This is the heap profiler we use at Google, to explore how C++
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programs manage memory.  This facility can be useful for</p>
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<ul>
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  <li> Figuring out what is in the program heap at any given time
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  <li> Locating memory leaks
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  <li> Finding places that do a lot of allocation
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</ul>
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<p>The profiling system instruments all allocations and frees.  It
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keeps track of various pieces of information per allocation site.  An
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allocation site is defined as the active stack trace at the call to
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<code>malloc</code>, <code>calloc</code>, <code>realloc</code>, or,
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<code>new</code>.</p>
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<p>There are three parts to using it: linking the library into an
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application, running the code, and analyzing the output.</p>
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<h1>Linking in the Library</h1>
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<p>To install the heap profiler into your executable, add
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<code>-ltcmalloc</code> to the link-time step for your executable.
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Also, while we don't necessarily recommend this form of usage, it's
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possible to add in the profiler at run-time using
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<code>LD_PRELOAD</code>:
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<pre>% env LD_PRELOAD="/usr/lib/libtcmalloc.so" <binary></pre>
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<p>This does <i>not</i> turn on heap profiling; it just inserts the
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code.  For that reason, it's practical to just always link
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<code>-ltcmalloc</code> into a binary while developing; that's what we
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do at Google.  (However, since any user can turn on the profiler by
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setting an environment variable, it's not necessarily recommended to
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install profiler-linked binaries into a production, running
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system.)  Note that if you wish to use the heap profiler, you must
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also use the tcmalloc memory-allocation library.  There is no way
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currently to use the heap profiler separate from tcmalloc.</p>
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<h1>Running the Code</h1>
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<p>There are several alternatives to actually turn on heap profiling
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for a given run of an executable:</p>
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<ol>
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  <li> <p>Define the environment variable HEAPPROFILE to the filename
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       to dump the profile to.  For instance, to profile
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       <code>/usr/local/bin/my_binary_compiled_with_tcmalloc</code>:</p>
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       <pre>% env HEAPPROFILE=/tmp/mybin.hprof /usr/local/bin/my_binary_compiled_with_tcmalloc</pre>
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  <li> <p>In your code, bracket the code you want profiled in calls to
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       <code>HeapProfilerStart()</code> and <code>HeapProfilerStop()</code>.
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       (These functions are declared in <code><gperftools/heap-profiler.h></code>.)
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       <code>HeapProfilerStart()</code> will take the
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       profile-filename-prefix as an argument.  Then, as often as
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       you'd like before calling <code>HeapProfilerStop()</code>, you
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       can use <code>HeapProfilerDump()</code> or
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       <code>GetHeapProfile()</code> to examine the profile.  In case
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       it's useful, <code>IsHeapProfilerRunning()</code> will tell you
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       whether you've already called HeapProfilerStart() or not.</p>
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</ol>
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<p>For security reasons, heap profiling will not write to a file --
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and is thus not usable -- for setuid programs.</p>
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<H2>Modifying Runtime Behavior</H2>
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<p>You can more finely control the behavior of the heap profiler via
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environment variables.</p>
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<table frame=box rules=sides cellpadding=5 width=100%>
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<tr valign=top>
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  <td><code>HEAP_PROFILE_ALLOCATION_INTERVAL</code></td>
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  <td>default: 1073741824 (1 Gb)</td>
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  <td>
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    Dump heap profiling information each time the specified number of
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    bytes has been allocated by the program.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>HEAP_PROFILE_INUSE_INTERVAL</code></td>
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  <td>default: 104857600 (100 Mb)</td>
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  <td>
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    Dump heap profiling information whenever the high-water memory
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    usage mark increases by the specified number of bytes.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>HEAP_PROFILE_TIME_INTERVAL</code></td>
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  <td>default: 0</td>
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  <td>
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    Dump heap profiling information each time the specified
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    number of seconds has elapsed.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>HEAPPROFILESIGNAL</code></td>
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  <td>default: disabled</td>
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  <td>
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    Dump heap profiling information whenever the specified signal is sent to the
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    process.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>HEAP_PROFILE_MMAP</code></td>
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  <td>default: false</td>
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  <td>
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    Profile <code>mmap</code>, <code>mremap</code> and <code>sbrk</code>
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    calls in addition
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    to <code>malloc</code>, <code>calloc</code>, <code>realloc</code>,
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    and <code>new</code>.  <b>NOTE:</b> this causes the profiler to
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    profile calls internal to tcmalloc, since tcmalloc and friends use
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    mmap and sbrk internally for allocations.  One partial solution is
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    to filter these allocations out when running <code>pprof</code>,
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    with something like
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    <code>pprof --ignore='DoAllocWithArena|SbrkSysAllocator::Alloc|MmapSysAllocator::Alloc</code>.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>HEAP_PROFILE_ONLY_MMAP</code></td>
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  <td>default: false</td>
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  <td>
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    Only profile <code>mmap</code>, <code>mremap</code>, and <code>sbrk</code>
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    calls; do not profile
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    <code>malloc</code>, <code>calloc</code>, <code>realloc</code>,
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    or <code>new</code>.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>HEAP_PROFILE_MMAP_LOG</code></td>
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  <td>default: false</td>
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  <td>
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    Log <code>mmap</code>/<code>munmap</code> calls.
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  </td>
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</tr>
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</table>
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<H2>Checking for Leaks</H2>
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<p>You can use the heap profiler to manually check for leaks, for
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instance by reading the profiler output and looking for large
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allocations.  However, for that task, it's easier to use the <A
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HREF="heap_checker.html">automatic heap-checking facility</A> built
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into tcmalloc.</p>
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<h1><a name="pprof">Analyzing the Output</a></h1>
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<p>If heap-profiling is turned on in a program, the program will
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periodically write profiles to the filesystem.  The sequence of
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profiles will be named:</p>
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<pre>
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           <prefix>.0000.heap
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           <prefix>.0001.heap
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           <prefix>.0002.heap
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           ...
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</pre>
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<p>where <code><prefix></code> is the filename-prefix supplied
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when running the code (e.g. via the <code>HEAPPROFILE</code>
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environment variable).  Note that if the supplied prefix
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does not start with a <code>/</code>, the profile files will be
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written to the program's working directory.</p>
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<p>The profile output can be viewed by passing it to the
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<code>pprof</code> tool -- the same tool that's used to analyze <A
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HREF="cpuprofile.html">CPU profiles</A>.
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<p>Here are some examples.  These examples assume the binary is named
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<code>gfs_master</code>, and a sequence of heap profile files can be
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found in files named:</p>
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<pre>
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  /tmp/profile.0001.heap
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  /tmp/profile.0002.heap
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  ...
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  /tmp/profile.0100.heap
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</pre>
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<h3>Why is a process so big</h3>
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<pre>
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    % pprof --gv gfs_master /tmp/profile.0100.heap
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</pre>
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<p>This command will pop-up a <code>gv</code> window that displays
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the profile information as a directed graph.  Here is a portion
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of the resulting output:</p>
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<p><center>
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<img src="heap-example1.png">
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</center></p>
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A few explanations:
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<ul>
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<li> <code>GFS_MasterChunk::AddServer</code> accounts for 255.6 MB
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     of the live memory, which is 25% of the total live memory.
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<li> <code>GFS_MasterChunkTable::UpdateState</code> is directly
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     accountable for 176.2 MB of the live memory (i.e., it directly
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     allocated 176.2 MB that has not been freed yet).  Furthermore,
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     it and its callees are responsible for 729.9 MB.  The
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     labels on the outgoing edges give a good indication of the
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     amount allocated by each callee.
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</ul>
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<h3>Comparing Profiles</h3>
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<p>You often want to skip allocations during the initialization phase
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of a program so you can find gradual memory leaks.  One simple way to
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do this is to compare two profiles -- both collected after the program
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has been running for a while.  Specify the name of the first profile
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using the <code>--base</code> option.  For example:</p>
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<pre>
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   % pprof --base=/tmp/profile.0004.heap gfs_master /tmp/profile.0100.heap
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</pre>
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<p>The memory-usage in <code>/tmp/profile.0004.heap</code> will be
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subtracted from the memory-usage in
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<code>/tmp/profile.0100.heap</code> and the result will be
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displayed.</p>
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<h3>Text display</h3>
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<pre>
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% pprof --text gfs_master /tmp/profile.0100.heap
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   255.6  24.7%  24.7%    255.6  24.7% GFS_MasterChunk::AddServer
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   184.6  17.8%  42.5%    298.8  28.8% GFS_MasterChunkTable::Create
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   176.2  17.0%  59.5%    729.9  70.5% GFS_MasterChunkTable::UpdateState
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   169.8  16.4%  75.9%    169.8  16.4% PendingClone::PendingClone
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    76.3   7.4%  83.3%     76.3   7.4% __default_alloc_template::_S_chunk_alloc
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    49.5   4.8%  88.0%     49.5   4.8% hashtable::resize
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   ...
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</pre>
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<p>
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<ul>
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  <li> The first column contains the direct memory use in MB.
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  <li> The fourth column contains memory use by the procedure
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       and all of its callees.
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  <li> The second and fifth columns are just percentage
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       representations of the numbers in the first and fourth columns.
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  <li> The third column is a cumulative sum of the second column
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       (i.e., the <code>k</code>th entry in the third column is the
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       sum of the first <code>k</code> entries in the second column.)
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</ul>
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<h3>Ignoring or focusing on specific regions</h3>
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<p>The following command will give a graphical display of a subset of
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the call-graph.  Only paths in the call-graph that match the regular
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expression <code>DataBuffer</code> are included:</p>
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<pre>
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% pprof --gv --focus=DataBuffer gfs_master /tmp/profile.0100.heap
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</pre>
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<p>Similarly, the following command will omit all paths subset of the
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call-graph.  All paths in the call-graph that match the regular
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expression <code>DataBuffer</code> are discarded:</p>
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<pre>
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% pprof --gv --ignore=DataBuffer gfs_master /tmp/profile.0100.heap
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</pre>
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<h3>Total allocations + object-level information</h3>
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<p>All of the previous examples have displayed the amount of in-use
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space.  I.e., the number of bytes that have been allocated but not
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freed.  You can also get other types of information by supplying a
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flag to <code>pprof</code>:</p>
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<center>
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<table frame=box rules=sides cellpadding=5 width=100%>
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<tr valign=top>
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  <td><code>--inuse_space</code></td>
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  <td>
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     Display the number of in-use megabytes (i.e. space that has
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     been allocated but not freed).  This is the default.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>--inuse_objects</code></td>
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  <td>
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     Display the number of in-use objects (i.e. number of
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     objects that have been allocated but not freed).
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>--alloc_space</code></td>
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  <td>
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     Display the number of allocated megabytes.  This includes
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     the space that has since been de-allocated.  Use this
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     if you want to find the main allocation sites in the
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     program.
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  </td>
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</tr>
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<tr valign=top>
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  <td><code>--alloc_objects</code></td>
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  <td>
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     Display the number of allocated objects.  This includes
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     the objects that have since been de-allocated.  Use this
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     if you want to find the main allocation sites in the
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     program.
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  </td>
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</table>
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</center>
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<h3>Interactive mode</a></h3>
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<p>By default -- if you don't specify any flags to the contrary --
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pprof runs in interactive mode.  At the <code>(pprof)</code> prompt,
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you can run many of the commands described above.  You can type
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<code>help</code> for a list of what commands are available in
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interactive mode.</p>
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<h1>Caveats</h1>
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<ul>
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  <li> Heap profiling requires the use of libtcmalloc.  This
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       requirement may be removed in a future version of the heap
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       profiler, and the heap profiler separated out into its own
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       library.
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  <li> If the program linked in a library that was not compiled
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       with enough symbolic information, all samples associated
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       with the library may be charged to the last symbol found
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       in the program before the library.  This will artificially
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       inflate the count for that symbol.
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  <li> If you run the program on one machine, and profile it on
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       another, and the shared libraries are different on the two
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       machines, the profiling output may be confusing: samples that
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       fall within the shared libaries may be assigned to arbitrary
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       procedures.
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  <li> Several libraries, such as some STL implementations, do their
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       own memory management.  This may cause strange profiling
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       results.  We have code in libtcmalloc to cause STL to use
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       tcmalloc for memory management (which in our tests is better
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       than STL's internal management), though it only works for some
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       STL implementations.
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  <li> If your program forks, the children will also be profiled
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       (since they inherit the same HEAPPROFILE setting).  Each
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       process is profiled separately; to distinguish the child
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       profiles from the parent profile and from each other, all
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       children will have their process-id attached to the HEAPPROFILE
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       name.
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  <li> Due to a hack we make to work around a possible gcc bug, your
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       profiles may end up named strangely if the first character of
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       your HEAPPROFILE variable has ascii value greater than 127.
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       This should be exceedingly rare, but if you need to use such a
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       name, just set prepend <code>./</code> to your filename:
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       <code>HEAPPROFILE=./Ägypten</code>.
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</ul>
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<hr>
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<address>Sanjay Ghemawat
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<!-- Created: Tue Dec 19 10:43:14 PST 2000 -->
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</address>
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</body>
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</html>
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