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author | Billy Donahue <billy.donahue@mongodb.com> | 2019-03-11 13:12:51 -0400 |
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committer | Billy Donahue <billy.donahue@mongodb.com> | 2019-03-21 18:36:58 -0400 |
commit | c198c2b606a805424792faba5017f8a35ebd5e02 (patch) | |
tree | 74092ba62ed258291475aef2a714dae421f03b9a /src/third_party/gperftools-2.7/docs | |
parent | ca3e2c1a9063b5b93547c710a93ffcc440f1b32c (diff) | |
download | mongo-c198c2b606a805424792faba5017f8a35ebd5e02.tar.gz |
SERVER-39265 refactor gperftools-2.7 import, config, and build.
configured on rhel67-z-dev.maristisv.build.10gen.cc
configured on rhel71-ppc-dev.pic.build.10gen.cc
configured on ubuntu1604-arm64-7.linaro.build.10gen.cc
configured on ec2-52-200-142-75.compute-1.amazonaws.com
Diffstat (limited to 'src/third_party/gperftools-2.7/docs')
45 files changed, 0 insertions, 3597 deletions
diff --git a/src/third_party/gperftools-2.7/docs/cpuprofile-fileformat.html b/src/third_party/gperftools-2.7/docs/cpuprofile-fileformat.html deleted file mode 100644 index 3f90e6bc78e..00000000000 --- a/src/third_party/gperftools-2.7/docs/cpuprofile-fileformat.html +++ /dev/null @@ -1,264 +0,0 @@ -<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> -<HTML> - -<HEAD> - <link rel="stylesheet" href="designstyle.css"> - <title>Google CPU Profiler Binary Data File Format</title> -</HEAD> - -<BODY> - -<h1>Google CPU Profiler Binary Data File Format</h1> - -<p align=right> - <i>Last modified - <script type=text/javascript> - var lm = new Date(document.lastModified); - document.write(lm.toDateString()); - </script></i> -</p> - -<p>This file documents the binary data file format produced by the -Google CPU Profiler. For information about using the CPU Profiler, -see <a href="cpuprofile.html">its user guide</a>. - -<p>The profiler source code, which generates files using this format, is at -<code>src/profiler.cc</code></a>. - - -<h2>CPU Profile Data File Structure</h2> - -<p>CPU profile data files each consist of four parts, in order: - -<ul> - <li> Binary header - <li> Binary profile records - <li> Binary trailer - <li> Text list of mapped objects -</ul> - -<p>The binary data is expressed in terms of "slots." These are words -large enough to hold the program's pointer type, i.e., for 32-bit -programs they are 4 bytes in size, and for 64-bit programs they are 8 -bytes. They are stored in the profile data file in the native byte -order (i.e., little-endian for x86 and x86_64). - - -<h2>Binary Header</h2> - -<p>The binary header format is show below. Values written by the -profiler, along with requirements currently enforced by the analysis -tools, are shown in parentheses. - -<p> -<table summary="Header Format" - frame="box" rules="sides" cellpadding="5" width="50%"> - <tr> - <th width="30%">slot</th> - <th width="70%">data</th> - </tr> - - <tr> - <td>0</td> - <td>header count (0; must be 0)</td> - </tr> - - <tr> - <td>1</td> - <td>header slots after this one (3; must be >= 3)</td> - </tr> - - <tr> - <td>2</td> - <td>format version (0; must be 0)</td> - </tr> - - <tr> - <td>3</td> - <td>sampling period, in microseconds</td> - </tr> - - <tr> - <td>4</td> - <td>padding (0)</td> - </tr> -</table> - -<p>The headers currently generated for 32-bit and 64-bit little-endian -(x86 and x86_64) profiles are shown below, for comparison. - -<p> -<table summary="Header Example" frame="box" rules="sides" cellpadding="5"> - <tr> - <th></th> - <th>hdr count</th> - <th>hdr words</th> - <th>version</th> - <th>sampling period</th> - <th>pad</th> - </tr> - <tr> - <td>32-bit or 64-bit (slots)</td> - <td>0</td> - <td>3</td> - <td>0</td> - <td>10000</td> - <td>0</td> - </tr> - <tr> - <td>32-bit (4-byte words in file)</td> - <td><tt>0x00000</tt></td> - <td><tt>0x00003</tt></td> - <td><tt>0x00000</tt></td> - <td><tt>0x02710</tt></td> - <td><tt>0x00000</tt></td> - </tr> - <tr> - <td>64-bit LE (4-byte words in file)</td> - <td><tt>0x00000 0x00000</tt></td> - <td><tt>0x00003 0x00000</tt></td> - <td><tt>0x00000 0x00000</tt></td> - <td><tt>0x02710 0x00000</tt></td> - <td><tt>0x00000 0x00000</tt></td> - </tr> -</table> - -<p>The contents are shown in terms of slots, and in terms of 4-byte -words in the profile data file. The slot contents for 32-bit and -64-bit headers are identical. For 32-bit profiles, the 4-byte word -view matches the slot view. For 64-bit profiles, each (8-byte) slot -is shown as two 4-byte words, ordered as they would appear in the -file. - -<p>The profiling tools examine the contents of the file and use the -expected locations and values of the header words field to detect -whether the file is 32-bit or 64-bit. - - -<h2>Binary Profile Records</h2> - -<p>The binary profile record format is shown below. - -<p> -<table summary="Profile Record Format" - frame="box" rules="sides" cellpadding="5" width="50%"> - <tr> - <th width="30%">slot</th> - <th width="70%">data</th> - </tr> - - <tr> - <td>0</td> - <td>sample count, must be >= 1</td> - </tr> - - <tr> - <td>1</td> - <td>number of call chain PCs (num_pcs), must be >= 1</td> - </tr> - - <tr> - <td>2 .. (num_pcs + 1)</td> - <td>call chain PCs, most-recently-called function first. - </tr> -</table> - -<p>The total length of a given record is 2 + num_pcs. - -<p>Note that multiple profile records can be emitted by the profiler -having an identical call chain. In that case, analysis tools should -sum the counts of all records having identical call chains. - -<p><b>Note:</b> Some profile analysis tools terminate if they see -<em>any</em> profile record with a call chain with its first entry -having the address 0. (This is similar to the binary trailer.) - -<h3>Example</h3> - -This example shows the slots contained in a sample profile record. - -<p> -<table summary="Profile Record Example" - frame="box" rules="sides" cellpadding="5"> - <tr> - <td>5</td> - <td>3</td> - <td>0xa0000</td> - <td>0xc0000</td> - <td>0xe0000</td> - </tr> -</table> - -<p>In this example, 5 ticks were received at PC 0xa0000, whose -function had been called by the function containing 0xc0000, which had -been called from the function containing 0xe0000. - - -<h2>Binary Trailer</h2> - -<p>The binary trailer consists of three slots of data with fixed -values, shown below. - -<p> -<table summary="Trailer Format" - frame="box" rules="sides" cellpadding="5" width="50%"> - <tr> - <th width="30%">slot</th> - <th width="70%">value</th> - </tr> - - <tr> - <td>0</td> - <td>0</td> - </tr> - - <tr> - <td>1</td> - <td>1</td> - </tr> - - <tr> - <td>2</td> - <td>0</td> - </tr> -</table> - -<p>Note that this is the same data that would contained in a profile -record with sample count = 0, num_pcs = 1, and a one-element call -chain containing the address 0. - - -<h2>Text List of Mapped Objects</h2> - -<p>The binary data in the file is followed immediately by a list of -mapped objects. This list consists of lines of text separated by -newline characters. - -<p>Each line is one of the following types: - -<ul> - <li>Build specifier, starting with "<tt>build=</tt>". For example: - <pre> build=/path/to/binary</pre> - Leading spaces on the line are ignored. - - <li>Mapping line from ProcMapsIterator::FormatLine. For example: - <pre> 40000000-40015000 r-xp 00000000 03:01 12845071 /lib/ld-2.3.2.so</pre> - The first address must start at the beginning of the line. -</ul> - -<p>Unrecognized lines should be ignored by analysis tools. - -<p>When processing the paths see in mapping lines, occurrences of -<tt>$build</tt> followed by a non-word character (i.e., characters -other than underscore or alphanumeric characters), should be replaced -by the path given on the last build specifier line. - -<hr> -<address>Chris Demetriou<br> -<!-- Created: Mon Aug 27 12:18:26 PDT 2007 --> -<!-- hhmts start --> -Last modified: Mon Aug 27 12:18:26 PDT 2007 (cgd) -<!-- hhmts end --> -</address> -</BODY> -</HTML> diff --git a/src/third_party/gperftools-2.7/docs/cpuprofile.html b/src/third_party/gperftools-2.7/docs/cpuprofile.html deleted file mode 100644 index c81feb6ae1f..00000000000 --- a/src/third_party/gperftools-2.7/docs/cpuprofile.html +++ /dev/null @@ -1,536 +0,0 @@ -<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"> -<HTML> - -<HEAD> - <link rel="stylesheet" href="designstyle.css"> - <title>Gperftools CPU Profiler</title> -</HEAD> - -<BODY> - -<p align=right> - <i>Last modified - <script type=text/javascript> - var lm = new Date(document.lastModified); - document.write(lm.toDateString()); - </script></i> -</p> - -<p>This is the CPU profiler we use at Google. There are three parts -to using it: linking the library into an application, running the -code, and analyzing the output.</p> - -<p>On the off-chance that you should need to understand it, the CPU -profiler data file format is documented separately, -<a href="cpuprofile-fileformat.html">here</a>. - - -<H1>Linking in the Library</H1> - -<p>To install the CPU profiler into your executable, add -<code>-lprofiler</code> to the link-time step for your executable. -(It's also probably possible to add in the profiler at run-time using -<code>LD_PRELOAD</code>, e.g. -<code>% env LD_PRELOAD="/usr/lib/libprofiler.so" <binary></code>, -but this isn't necessarily recommended.)</p> - -<p>This does <i>not</i> turn on CPU profiling; it just inserts the -code. For that reason, it's practical to just always link -<code>-lprofiler</code> into a binary while developing; that's what we -do at Google. (However, since any user can turn on the profiler by -setting an environment variable, it's not necessarily recommended to -install profiler-linked binaries into a production, running -system.)</p> - - -<H1>Running the Code</H1> - -<p>There are several alternatives to actually turn on CPU profiling -for a given run of an executable:</p> - -<ol> - <li> <p>Define the environment variable CPUPROFILE to the filename - to dump the profile to. For instance, if you had a version of - <code>/bin/ls</code> that had been linked against libprofiler, - you could run:</p> - <pre>% env CPUPROFILE=ls.prof /bin/ls</pre> - </li> - <li> <p>In addition to defining the environment variable CPUPROFILE - you can also define CPUPROFILESIGNAL. This allows profiling to be - controlled via the signal number that you specify. The signal number - must be unused by the program under normal operation. Internally it - acts as a switch, triggered by the signal, which is off by default. - For instance, if you had a copy of <code>/bin/chrome</code> that had been - been linked against libprofiler, you could run:</p> - <pre>% env CPUPROFILE=chrome.prof CPUPROFILESIGNAL=12 /bin/chrome &</pre> - <p>You can then trigger profiling to start:</p> - <pre>% killall -12 chrome</pre> - <p>Then after a period of time you can tell it to stop which will - generate the profile:</p> - <pre>% killall -12 chrome</pre> - </li> - <li> <p>In your code, bracket the code you want profiled in calls to - <code>ProfilerStart()</code> and <code>ProfilerStop()</code>. - (These functions are declared in <code><gperftools/profiler.h></code>.) - <code>ProfilerStart()</code> will take - the profile-filename as an argument.</p> - </li> -</ol> - -<p>In Linux 2.6 and above, profiling works correctly with threads, -automatically profiling all threads. In Linux 2.4, profiling only -profiles the main thread (due to a kernel bug involving itimers and -threads). Profiling works correctly with sub-processes: each child -process gets its own profile with its own name (generated by combining -CPUPROFILE with the child's process id).</p> - -<p>For security reasons, CPU profiling will not write to a file -- and -is thus not usable -- for setuid programs.</p> - -<p>See the include-file <code>gperftools/profiler.h</code> for -advanced-use functions, including <code>ProfilerFlush()</code> and -<code>ProfilerStartWithOptions()</code>.</p> - - -<H2>Modifying Runtime Behavior</H2> - -<p>You can more finely control the behavior of the CPU profiler via -environment variables.</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>CPUPROFILE_FREQUENCY=<i>x</i></code></td> - <td>default: 100</td> - <td> - How many interrupts/second the cpu-profiler samples. - </td> -</tr> - -<tr valign=top> - <td><code>CPUPROFILE_REALTIME=1</code></td> - <td>default: [not set]</td> - <td> - If set to any value (including 0 or the empty string), use - ITIMER_REAL instead of ITIMER_PROF to gather profiles. In - general, ITIMER_REAL is not as accurate as ITIMER_PROF, and also - interacts badly with use of alarm(), so prefer ITIMER_PROF unless - you have a reason prefer ITIMER_REAL. - </td> -</tr> - -</table> - - -<h1><a name="pprof">Analyzing the Output</a></h1> - -<p><code>pprof</code> is the script used to analyze a profile. It has -many output modes, both textual and graphical. Some give just raw -numbers, much like the <code>-pg</code> output of <code>gcc</code>, -and others show the data in the form of a dependency graph.</p> - -<p>pprof <b>requires</b> <code>perl5</code> to be installed to run. -It also requires <code>dot</code> to be installed for any of the -graphical output routines, and <code>gv</code> to be installed for -<code>--gv</code> mode (described below). -</p> - -<p>Here are some ways to call pprof. These are described in more -detail below.</p> - -<pre> -% pprof /bin/ls ls.prof - Enters "interactive" mode -% pprof --text /bin/ls ls.prof - Outputs one line per procedure -% pprof --gv /bin/ls ls.prof - Displays annotated call-graph via 'gv' -% pprof --gv --focus=Mutex /bin/ls ls.prof - Restricts to code paths including a .*Mutex.* entry -% pprof --gv --focus=Mutex --ignore=string /bin/ls ls.prof - Code paths including Mutex but not string -% pprof --list=getdir /bin/ls ls.prof - (Per-line) annotated source listing for getdir() -% pprof --disasm=getdir /bin/ls ls.prof - (Per-PC) annotated disassembly for getdir() -% pprof --text localhost:1234 - Outputs one line per procedure for localhost:1234 -% pprof --callgrind /bin/ls ls.prof - Outputs the call information in callgrind format -</pre> - - -<h3>Analyzing Text Output</h3> - -<p>Text mode has lines of output that look like this:</p> -<pre> - 14 2.1% 17.2% 58 8.7% std::_Rb_tree::find -</pre> - -<p>Here is how to interpret the columns:</p> -<ol> - <li> Number of profiling samples in this function - <li> Percentage of profiling samples in this function - <li> Percentage of profiling samples in the functions printed so far - <li> Number of profiling samples in this function and its callees - <li> Percentage of profiling samples in this function and its callees - <li> Function name -</ol> - -<h3>Analyzing Callgrind Output</h3> - -<p>Use <a href="http://kcachegrind.sourceforge.net">kcachegrind</a> to -analyze your callgrind output:</p> -<pre> -% pprof --callgrind /bin/ls ls.prof > ls.callgrind -% kcachegrind ls.callgrind -</pre> - -<p>The cost is specified in 'hits', i.e. how many times a function -appears in the recorded call stack information. The 'calls' from -function a to b record how many times function b was found in the -stack traces directly below function a.</p> - -<p>Tip: if you use a debug build the output will include file and line -number information and kcachegrind will show an annotated source -code view.</p> - -<h3>Node Information</h3> - -<p>In the various graphical modes of pprof, the output is a call graph -annotated with timing information, like so:</p> - -<A HREF="pprof-test-big.gif"> -<center><table><tr><td> - <img src="pprof-test.gif"> -</td></tr></table></center> -</A> - -<p>Each node represents a procedure. The directed edges indicate -caller to callee relations. Each node is formatted as follows:</p> - -<center><pre> -Class Name -Method Name -local (percentage) -<b>of</b> cumulative (percentage) -</pre></center> - -<p>The last one or two lines contains the timing information. (The -profiling is done via a sampling method, where by default we take 100 -samples a second. Therefor one unit of time in the output corresponds -to about 10 milliseconds of execution time.) The "local" time is the -time spent executing the instructions directly contained in the -procedure (and in any other procedures that were inlined into the -procedure). The "cumulative" time is the sum of the "local" time and -the time spent in any callees. If the cumulative time is the same as -the local time, it is not printed.</p> - -<p>For instance, the timing information for test_main_thread() -indicates that 155 units (about 1.55 seconds) were spent executing the -code in <code>test_main_thread()</code> and 200 units were spent while -executing <code>test_main_thread()</code> and its callees such as -<code>snprintf()</code>.</p> - -<p>The size of the node is proportional to the local count. The -percentage displayed in the node corresponds to the count divided by -the total run time of the program (that is, the cumulative count for -<code>main()</code>).</p> - -<h3>Edge Information</h3> - -<p>An edge from one node to another indicates a caller to callee -relationship. Each edge is labelled with the time spent by the callee -on behalf of the caller. E.g, the edge from -<code>test_main_thread()</code> to <code>snprintf()</code> indicates -that of the 200 samples in <code>test_main_thread()</code>, 37 are -because of calls to <code>snprintf()</code>.</p> - -<p>Note that <code>test_main_thread()</code> has an edge to -<code>vsnprintf()</code>, even though <code>test_main_thread()</code> -doesn't call that function directly. This is because the code was -compiled with <code>-O2</code>; the profile reflects the optimized -control flow.</p> - -<h3>Meta Information</h3> - -<p>The top of the display should contain some meta information -like:</p> -<pre> - /tmp/profiler2_unittest - Total samples: 202 - Focusing on: 202 - Dropped nodes with <= 1 abs(samples) - Dropped edges with <= 0 samples -</pre> - -<p>This section contains the name of the program, and the total -samples collected during the profiling run. If the -<code>--focus</code> option is on (see the <a href="#focus">Focus</a> -section below), the legend also contains the number of samples being -shown in the focused display. Furthermore, some unimportant nodes and -edges are dropped to reduce clutter. The characteristics of the -dropped nodes and edges are also displayed in the legend.</p> - -<h3><a name=focus>Focus and Ignore</a></h3> - -<p>You can ask pprof to generate a display focused on a particular -piece of the program. You specify a regular expression. Any portion -of the call-graph that is on a path which contains at least one node -matching the regular expression is preserved. The rest of the -call-graph is dropped on the floor. For example, you can focus on the -<code>vsnprintf()</code> libc call in <code>profiler2_unittest</code> -as follows:</p> - -<pre> -% pprof --gv --focus=vsnprintf /tmp/profiler2_unittest test.prof -</pre> -<A HREF="pprof-vsnprintf-big.gif"> -<center><table><tr><td> - <img src="pprof-vsnprintf.gif"> -</td></tr></table></center> -</A> - -<p>Similarly, you can supply the <code>--ignore</code> option to -ignore samples that match a specified regular expression. E.g., if -you are interested in everything except calls to -<code>snprintf()</code>, you can say:</p> -<pre> -% pprof --gv --ignore=snprintf /tmp/profiler2_unittest test.prof -</pre> - - -<h3>Interactive mode</a></h3> - -<p>By default -- if you don't specify any flags to the contrary -- -pprof runs in interactive mode. At the <code>(pprof)</code> prompt, -you can run many of the commands described above. You can type -<code>help</code> for a list of what commands are available in -interactive mode.</p> - -<h3><a name=options>pprof Options</a></h3> - -For a complete list of pprof options, you can run <code>pprof ---help</code>. - -<h4>Output Type</h4> - -<p> -<center> -<table frame=box rules=sides cellpadding=5 width=100%> -<tr valign=top> - <td><code>--text</code></td> - <td> - Produces a textual listing. (Note: If you have an X display, and - <code>dot</code> and <code>gv</code> installed, you will probably - be happier with the <code>--gv</code> output.) - </td> -</tr> -<tr valign=top> - <td><code>--gv</code></td> - <td> - Generates annotated call-graph, converts to postscript, and - displays via gv (requres <code>dot</code> and <code>gv</code> be - installed). - </td> -</tr> -<tr valign=top> - <td><code>--dot</code></td> - <td> - Generates the annotated call-graph in dot format and - emits to stdout (requres <code>dot</code> be installed). - </td> -</tr> -<tr valign=top> - <td><code>--ps</code></td> - <td> - Generates the annotated call-graph in Postscript format and - emits to stdout (requres <code>dot</code> be installed). - </td> -</tr> -<tr valign=top> - <td><code>--pdf</code></td> - <td> - Generates the annotated call-graph in PDF format and emits to - stdout (requires <code>dot</code> and <code>ps2pdf</code> be - installed). - </td> -</tr> -<tr valign=top> - <td><code>--gif</code></td> - <td> - Generates the annotated call-graph in GIF format and - emits to stdout (requres <code>dot</code> be installed). - </td> -</tr> -<tr valign=top> - <td><code>--list=<<i>regexp</i>></code></td> - <td> - <p>Outputs source-code listing of routines whose - name matches <regexp>. Each line - in the listing is annotated with flat and cumulative - sample counts.</p> - - <p>In the presence of inlined calls, the samples - associated with inlined code tend to get assigned - to a line that follows the location of the - inlined call. A more precise accounting can be - obtained by disassembling the routine using the - --disasm flag.</p> - </td> -</tr> -<tr valign=top> - <td><code>--disasm=<<i>regexp</i>></code></td> - <td> - Generates disassembly of routines that match - <regexp>, annotated with flat and - cumulative sample counts and emits to stdout. - </td> -</tr> -</table> -</center> - -<h4>Reporting Granularity</h4> - -<p>By default, pprof produces one entry per procedure. However you can -use one of the following options to change the granularity of the -output. The <code>--files</code> option seems to be particularly -useless, and may be removed eventually.</p> - -<center> -<table frame=box rules=sides cellpadding=5 width=100%> -<tr valign=top> - <td><code>--addresses</code></td> - <td> - Produce one node per program address. - </td> -</tr> - <td><code>--lines</code></td> - <td> - Produce one node per source line. - </td> -</tr> - <td><code>--functions</code></td> - <td> - Produce one node per function (this is the default). - </td> -</tr> - <td><code>--files</code></td> - <td> - Produce one node per source file. - </td> -</tr> -</table> -</center> - -<h4>Controlling the Call Graph Display</h4> - -<p>Some nodes and edges are dropped to reduce clutter in the output -display. The following options control this effect:</p> - -<center> -<table frame=box rules=sides cellpadding=5 width=100%> -<tr valign=top> - <td><code>--nodecount=<n></code></td> - <td> - This option controls the number of displayed nodes. The nodes - are first sorted by decreasing cumulative count, and then only - the top N nodes are kept. The default value is 80. - </td> -</tr> -<tr valign=top> - <td><code>--nodefraction=<f></code></td> - <td> - This option provides another mechanism for discarding nodes - from the display. If the cumulative count for a node is - less than this option's value multiplied by the total count - for the profile, the node is dropped. The default value - is 0.005; i.e. nodes that account for less than - half a percent of the total time are dropped. A node - is dropped if either this condition is satisfied, or the - --nodecount condition is satisfied. - </td> -</tr> -<tr valign=top> - <td><code>--edgefraction=<f></code></td> - <td> - This option controls the number of displayed edges. First of all, - an edge is dropped if either its source or destination node is - dropped. Otherwise, the edge is dropped if the sample - count along the edge is less than this option's value multiplied - by the total count for the profile. The default value is - 0.001; i.e., edges that account for less than - 0.1% of the total time are dropped. - </td> -</tr> -<tr valign=top> - <td><code>--focus=<re></code></td> - <td> - This option controls what region of the graph is displayed - based on the regular expression supplied with the option. - For any path in the callgraph, we check all nodes in the path - against the supplied regular expression. If none of the nodes - match, the path is dropped from the output. - </td> -</tr> -<tr valign=top> - <td><code>--ignore=<re></code></td> - <td> - This option controls what region of the graph is displayed - based on the regular expression supplied with the option. - For any path in the callgraph, we check all nodes in the path - against the supplied regular expression. If any of the nodes - match, the path is dropped from the output. - </td> -</tr> -</table> -</center> - -<p>The dropped edges and nodes account for some count mismatches in -the display. For example, the cumulative count for -<code>snprintf()</code> in the first diagram above was 41. However -the local count (1) and the count along the outgoing edges (12+1+20+6) -add up to only 40.</p> - - -<h1>Caveats</h1> - -<ul> - <li> If the program exits because of a signal, the generated profile - will be <font color=red>incomplete, and may perhaps be - completely empty</font>. - <li> The displayed graph may have disconnected regions because - of the edge-dropping heuristics described above. - <li> If the program linked in a library that was not compiled - with enough symbolic information, all samples associated - with the library may be charged to the last symbol found - in the program before the library. This will artificially - inflate the count for that symbol. - <li> If you run the program on one machine, and profile it on - another, and the shared libraries are different on the two - machines, the profiling output may be confusing: samples that - fall within shared libaries may be assigned to arbitrary - procedures. - <li> If your program forks, the children will also be profiled - (since they inherit the same CPUPROFILE setting). Each process - is profiled separately; to distinguish the child profiles from - the parent profile and from each other, all children will have - their process-id appended to the CPUPROFILE name. - <li> Due to a hack we make to work around a possible gcc bug, your - profiles may end up named strangely if the first character of - your CPUPROFILE variable has ascii value greater than 127. - This should be exceedingly rare, but if you need to use such a - name, just set prepend <code>./</code> to your filename: - <code>CPUPROFILE=./Ägypten</code>. -</ul> - - -<hr> -<address>Sanjay Ghemawat<br> -<!-- Created: Tue Dec 19 10:43:14 PST 2000 --> -<!-- hhmts start --> -Last modified: Fri May 9 14:41:29 PDT 2008 -<!-- hhmts end --> -</address> -</BODY> -</HTML> diff --git a/src/third_party/gperftools-2.7/docs/designstyle.css b/src/third_party/gperftools-2.7/docs/designstyle.css deleted file mode 100644 index 29299af1f49..00000000000 --- a/src/third_party/gperftools-2.7/docs/designstyle.css +++ /dev/null @@ -1,109 +0,0 @@ -body { - background-color: #ffffff; - color: black; - margin-right: 1in; - margin-left: 1in; -} - - -h1, h2, h3, h4, h5, h6 { - color: #3366ff; - font-family: sans-serif; -} -@media print { - /* Darker version for printing */ - h1, h2, h3, h4, h5, h6 { - color: #000080; - font-family: helvetica, sans-serif; - } -} - -h1 { - text-align: center; - font-size: 18pt; -} -h2 { - margin-left: -0.5in; -} -h3 { - margin-left: -0.25in; -} -h4 { - margin-left: -0.125in; -} -hr { - margin-left: -1in; -} - -/* Definition lists: definition term bold */ -dt { - font-weight: bold; -} - -address { - text-align: right; -} -/* Use the <code> tag for bits of code and <var> for variables and objects. */ -code,pre,samp,var { - color: #006000; -} -/* Use the <file> tag for file and directory paths and names. */ -file { - color: #905050; - font-family: monospace; -} -/* Use the <kbd> tag for stuff the user should type. */ -kbd { - color: #600000; -} -div.note p { - float: right; - width: 3in; - margin-right: 0%; - padding: 1px; - border: 2px solid #6060a0; - background-color: #fffff0; -} - -UL.nobullets { - list-style-type: none; - list-style-image: none; - margin-left: -1em; -} - -/* pretty printing styles. See prettify.js */ -.str { color: #080; } -.kwd { color: #008; } -.com { color: #800; } -.typ { color: #606; } -.lit { color: #066; } -.pun { color: #660; } -.pln { color: #000; } -.tag { color: #008; } -.atn { color: #606; } -.atv { color: #080; } -pre.prettyprint { padding: 2px; border: 1px solid #888; } - -.embsrc { background: #eee; } - -@media print { - .str { color: #060; } - .kwd { color: #006; font-weight: bold; } - .com { color: #600; font-style: italic; } - .typ { color: #404; font-weight: bold; } - .lit { color: #044; } - .pun { color: #440; } - .pln { color: #000; } - .tag { color: #006; font-weight: bold; } - .atn { color: #404; } - .atv { color: #060; } -} - -/* Table Column Headers */ -.hdr { - color: #006; - font-weight: bold; - background-color: #dddddd; } -.hdr2 { - color: #006; - background-color: #eeeeee; }
\ No newline at end of file diff --git a/src/third_party/gperftools-2.7/docs/heap-example1.png b/src/third_party/gperftools-2.7/docs/heap-example1.png Binary files differdeleted file mode 100644 index 9a14b6fb89e..00000000000 --- a/src/third_party/gperftools-2.7/docs/heap-example1.png +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/heap_checker.html b/src/third_party/gperftools-2.7/docs/heap_checker.html deleted file mode 100644 index ca05b500389..00000000000 --- a/src/third_party/gperftools-2.7/docs/heap_checker.html +++ /dev/null @@ -1,534 +0,0 @@ -<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"> -<HTML> - -<HEAD> - <link rel="stylesheet" href="designstyle.css"> - <title>Gperftools Heap Leak Checker</title> -</HEAD> - -<BODY> - -<p align=right> - <i>Last modified - <script type=text/javascript> - var lm = new Date(document.lastModified); - document.write(lm.toDateString()); - </script></i> -</p> - -<p>This is the heap checker we use at Google to detect memory leaks in -C++ programs. There are three parts to using it: linking the library -into an application, running the code, and analyzing the output.</p> - - -<H1>Linking in the Library</H1> - -<p>The heap-checker is part of tcmalloc, so to install the heap -checker into your executable, add <code>-ltcmalloc</code> to the -link-time step for your executable. Also, while we don't necessarily -recommend this form of usage, it's possible to add in the profiler at -run-time using <code>LD_PRELOAD</code>:</p> -<pre>% env LD_PRELOAD="/usr/lib/libtcmalloc.so" <binary></pre> - -<p>This does <i>not</i> turn on heap checking; it just inserts the -code. For that reason, it's practical to just always link -<code>-ltcmalloc</code> into a binary while developing; that's what we -do at Google. (However, since any user can turn on the profiler by -setting an environment variable, it's not necessarily recommended to -install heapchecker-linked binaries into a production, running -system.) Note that if you wish to use the heap checker, you must -also use the tcmalloc memory-allocation library. There is no way -currently to use the heap checker separate from tcmalloc.</p> - - -<h1>Running the Code</h1> - -<p>Note: For security reasons, heap profiling will not write to a file --- and is thus not usable -- for setuid programs.</p> - -<h2><a name="whole_program">Whole-program Heap Leak Checking</a></h2> - -<p>The recommended way to use the heap checker is in "whole program" -mode. In this case, the heap-checker starts tracking memory -allocations before the start of <code>main()</code>, and checks again -at program-exit. If it finds any memory leaks -- that is, any memory -not pointed to by objects that are still "live" at program-exit -- it -aborts the program (via <code>exit(1)</code>) and prints a message -describing how to track down the memory leak (using <A -HREF="heapprofile.html#pprof">pprof</A>).</p> - -<p>The heap-checker records the stack trace for each allocation while -it is active. This causes a significant increase in memory usage, in -addition to slowing your program down.</p> - -<p>Here's how to run a program with whole-program heap checking:</p> - -<ol> - <li> <p>Define the environment variable HEAPCHECK to the <A - HREF="#types">type of heap-checking</A> to do. For instance, - to heap-check - <code>/usr/local/bin/my_binary_compiled_with_tcmalloc</code>:</p> - <pre>% env HEAPCHECK=normal /usr/local/bin/my_binary_compiled_with_tcmalloc</pre> -</ol> - -<p>No other action is required.</p> - -<p>Note that since the heap-checker uses the heap-profiling framework -internally, it is not possible to run both the heap-checker and <A -HREF="heapprofile.html">heap profiler</A> at the same time.</p> - - -<h3><a name="types">Flavors of Heap Checking</a></h3> - -<p>These are the legal values when running a whole-program heap -check:</p> -<ol> - <li> <code>minimal</code> - <li> <code>normal</code> - <li> <code>strict</code> - <li> <code>draconian</code> -</ol> - -<p>"Minimal" heap-checking starts as late as possible in a -initialization, meaning you can leak some memory in your -initialization routines (that run before <code>main()</code>, say), -and not trigger a leak message. If you frequently (and purposefully) -leak data in one-time global initializers, "minimal" mode is useful -for you. Otherwise, you should avoid it for stricter modes.</p> - -<p>"Normal" heap-checking tracks <A HREF="#live">live objects</A> and -reports a leak for any data that is not reachable via a live object -when the program exits.</p> - -<p>"Strict" heap-checking is much like "normal" but has a few extra -checks that memory isn't lost in global destructors. In particular, -if you have a global variable that allocates memory during program -execution, and then "forgets" about the memory in the global -destructor (say, by setting the pointer to it to NULL) without freeing -it, that will prompt a leak message in "strict" mode, though not in -"normal" mode.</p> - -<p>"Draconian" heap-checking is appropriate for those who like to be -very precise about their memory management, and want the heap-checker -to help them enforce it. In "draconian" mode, the heap-checker does -not do "live object" checking at all, so it reports a leak unless -<i>all</i> allocated memory is freed before program exit. (However, -you can use <A HREF="#disable">IgnoreObject()</A> to re-enable -liveness-checking on an object-by-object basis.)</p> - -<p>"Normal" mode, as the name implies, is the one used most often at -Google. It's appropriate for everyday heap-checking use.</p> - -<p>In addition, there are two other possible modes:</p> -<ul> - <li> <code>as-is</code> - <li> <code>local</code> -</ul> -<p><code>as-is</code> is the most flexible mode; it allows you to -specify the various <A HREF="#options">knobs</A> of the heap checker -explicitly. <code>local</code> activates the <A -HREF="#explicit">explicit heap-check instrumentation</A>, but does not -turn on any whole-program leak checking.</p> - - -<h3><A NAME="tweaking">Tweaking whole-program checking</A></h3> - -<p>In some cases you want to check the whole program for memory leaks, -but waiting for after <code>main()</code> exits to do the first -whole-program leak check is waiting too long: e.g. in a long-running -server one might wish to simply periodically check for leaks while the -server is running. In this case, you can call the static method -<code>HeapLeakChecker::NoGlobalLeaks()</code>, to verify no global leaks have happened -as of that point in the program.</p> - -<p>Alternately, doing the check after <code>main()</code> exits might -be too late. Perhaps you have some objects that are known not to -clean up properly at exit. You'd like to do the "at exit" check -before those objects are destroyed (since while they're live, any -memory they point to will not be considered a leak). In that case, -you can call <code>HeapLeakChecker::NoGlobalLeaks()</code> manually, near the end of -<code>main()</code>, and then call <code>HeapLeakChecker::CancelGlobalCheck()</code> to -turn off the automatic post-<code>main()</code> check.</p> - -<p>Finally, there's a helper macro for "strict" and "draconian" modes, -which require all global memory to be freed before program exit. This -freeing can be time-consuming and is often unnecessary, since libc -cleans up all memory at program-exit for you. If you want the -benefits of "strict"/"draconian" modes without the cost of all that -freeing, look at <code>REGISTER_HEAPCHECK_CLEANUP</code> (in -<code>heap-checker.h</code>). This macro allows you to mark specific -cleanup code as active only when the heap-checker is turned on.</p> - - -<h2><a name="explicit">Explicit (Partial-program) Heap Leak Checking</h2> - -<p>Instead of whole-program checking, you can check certain parts of your -code to verify they do not have memory leaks. This check verifies that -between two parts of a program, no memory is allocated without being freed.</p> -<p>To use this kind of checking code, bracket the code you want -checked by creating a <code>HeapLeakChecker</code> object at the -beginning of the code segment, and call -<code>NoLeaks()</code> at the end. These functions, and all others -referred to in this file, are declared in -<code><gperftools/heap-checker.h></code>. -</p> - -<p>Here's an example:</p> -<pre> - HeapLeakChecker heap_checker("test_foo"); - { - code that exercises some foo functionality; - this code should not leak memory; - } - if (!heap_checker.NoLeaks()) assert(NULL == "heap memory leak"); -</pre> - -<p>Note that adding in the <code>HeapLeakChecker</code> object merely -instruments the code for leak-checking. To actually turn on this -leak-checking on a particular run of the executable, you must still -run with the heap-checker turned on:</p> -<pre>% env HEAPCHECK=local /usr/local/bin/my_binary_compiled_with_tcmalloc</pre> -<p>If you want to do whole-program leak checking in addition to this -manual leak checking, you can run in <code>normal</code> or some other -mode instead: they'll run the "local" checks in addition to the -whole-program check.</p> - - -<h2><a name="disable">Disabling Heap-checking of Known Leaks</a></h2> - -<p>Sometimes your code has leaks that you know about and are willing -to accept. You would like the heap checker to ignore them when -checking your program. You can do this by bracketing the code in -question with an appropriate heap-checking construct:</p> -<pre> - ... - { - HeapLeakChecker::Disabler disabler; - <leaky code> - } - ... -</pre> -Any objects allocated by <code>leaky code</code> (including inside any -routines called by <code>leaky code</code>) and any objects reachable -from such objects are not reported as leaks. - -<p>Alternately, you can use <code>IgnoreObject()</code>, which takes a -pointer to an object to ignore. That memory, and everything reachable -from it (by following pointers), is ignored for the purposes of leak -checking. You can call <code>UnIgnoreObject()</code> to undo the -effects of <code>IgnoreObject()</code>.</p> - - -<h2><a name="options">Tuning the Heap Checker</h2> - -<p>The heap leak checker has many options, some that trade off running -time and accuracy, and others that increase the sensitivity at the -risk of returning false positives. For most uses, the range covered -by the <A HREF="#types">heap-check flavors</A> is enough, but in -specialized cases more control can be helpful.</p> - -<p> -These options are specified via environment varaiables. -</p> - -<p>This first set of options controls sensitivity and accuracy. These -options are ignored unless you run the heap checker in <A -HREF="#types">as-is</A> mode. - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>HEAP_CHECK_AFTER_DESTRUCTORS</code></td> - <td>Default: false</td> - <td> - When true, do the final leak check after all other global - destructors have run. When false, do it after all - <code>REGISTER_HEAPCHECK_CLEANUP</code>, typically much earlier in - the global-destructor process. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_CHECK_IGNORE_THREAD_LIVE</code></td> - <td>Default: true</td> - <td> - If true, ignore objects reachable from thread stacks and registers - (that is, do not report them as leaks). - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_CHECK_IGNORE_GLOBAL_LIVE</code></td> - <td>Default: true</td> - <td> - If true, ignore objects reachable from global variables and data - (that is, do not report them as leaks). - </td> -</tr> - -</table> - -<p>These options modify the behavior of whole-program leak -checking.</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>HEAP_CHECK_MAX_LEAKS</code></td> - <td>Default: 20</td> - <td> - The maximum number of leaks to be printed to stderr (all leaks are still - emitted to file output for pprof to visualize). If negative or zero, - print all the leaks found. - </td> -</tr> - - -</table> - -<p>These options apply to all types of leak checking.</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>HEAP_CHECK_IDENTIFY_LEAKS</code></td> - <td>Default: false</td> - <td> - If true, generate the addresses of the leaked objects in the - generated memory leak profile files. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_CHECK_TEST_POINTER_ALIGNMENT</code></td> - <td>Default: false</td> - <td> - If true, check all leaks to see if they might be due to the use - of unaligned pointers. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_CHECK_POINTER_SOURCE_ALIGNMENT</code></td> - <td>Default: sizeof(void*)</td> - <td> - Alignment at which all pointers in memory are supposed to be located. - Use 1 if any alignment is ok. - </td> -</tr> - -<tr valign=top> - <td><code>PPROF_PATH</code></td> - <td>Default: pprof</td> -<td> - The location of the <code>pprof</code> executable. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_CHECK_DUMP_DIRECTORY</code></td> - <td>Default: /tmp</td> - <td> - Where the heap-profile files are kept while the program is running. - </td> -</tr> - -</table> - - -<h2>Tips for Handling Detected Leaks</h2> - -<p>What do you do when the heap leak checker detects a memory leak? -First, you should run the reported <code>pprof</code> command; -hopefully, that is enough to track down the location where the leak -occurs.</p> - -<p>If the leak is a real leak, you should fix it!</p> - -<p>If you are sure that the reported leaks are not dangerous and there -is no good way to fix them, then you can use -<code>HeapLeakChecker::Disabler</code> and/or -<code>HeapLeakChecker::IgnoreObject()</code> to disable heap-checking -for certain parts of the codebase.</p> - -<p>In "strict" or "draconian" mode, leaks may be due to incomplete -cleanup in the destructors of global variables. If you don't wish to -augment the cleanup routines, but still want to run in "strict" or -"draconian" mode, consider using <A -HREF="#tweaking"><code>REGISTER_HEAPCHECK_CLEANUP</code></A>.</p> - -<h2>Hints for Debugging Detected Leaks</h2> - -<p>Sometimes it can be useful to not only know the exact code that -allocates the leaked objects, but also the addresses of the leaked objects. -Combining this e.g. with additional logging in the program -one can then track which subset of the allocations -made at a certain spot in the code are leaked. -<br/> -To get the addresses of all leaked objects - define the environment variable <code>HEAP_CHECK_IDENTIFY_LEAKS</code> - to be <code>1</code>. -The object addresses will be reported in the form of addresses -of fake immediate callers of the memory allocation routines. -Note that the performance of doing leak-checking in this mode -can be noticeably worse than the default mode. -</p> - -<p>One relatively common class of leaks that don't look real -is the case of multiple initialization. -In such cases the reported leaks are typically things that are -linked from some global objects, -which are initialized and say never modified again. -The non-obvious cause of the leak is frequently the fact that -the initialization code for these objects executes more than once. -<br/> -E.g. if the code of some <code>.cc</code> file is made to be included twice -into the binary, then the constructors for global objects defined in that file -will execute twice thus leaking the things allocated on the first run. -<br/> -Similar problems can occur if object initialization is done more explicitly -e.g. on demand by a slightly buggy code -that does not always ensure only-once initialization. -</p> - -<p> -A more rare but even more puzzling problem can be use of not properly -aligned pointers (maybe inside of not properly aligned objects). -Normally such pointers are not followed by the leak checker, -hence the objects reachable only via such pointers are reported as leaks. -If you suspect this case - define the environment variable <code>HEAP_CHECK_TEST_POINTER_ALIGNMENT</code> - to be <code>1</code> -and then look closely at the generated leak report messages. -</p> - -<h1>How It Works</h1> - -<p>When a <code>HeapLeakChecker</code> object is constructed, it dumps -a memory-usage profile named -<code><prefix>.<name>-beg.heap</code> to a temporary -directory. When <code>NoLeaks()</code> -is called (for whole-program checking, this happens automatically at -program-exit), it dumps another profile, named -<code><prefix>.<name>-end.heap</code>. -(<code><prefix></code> is typically determined automatically, -and <code><name></code> is typically <code>argv[0]</code>.) It -then compares the two profiles. If the second profile shows -more memory use than the first, the -<code>NoLeaks()</code> function will -return false. For "whole program" profiling, this will cause the -executable to abort (via <code>exit(1)</code>). In all cases, it will -print a message on how to process the dumped profiles to locate -leaks.</p> - -<h3><A name=live>Detecting Live Objects</A></h3> - -<p>At any point during a program's execution, all memory that is -accessible at that time is considered "live." This includes global -variables, and also any memory that is reachable by following pointers -from a global variable. It also includes all memory reachable from -the current stack frame and from current CPU registers (this captures -local variables). Finally, it includes the thread equivalents of -these: thread-local storage and thread heaps, memory reachable from -thread-local storage and thread heaps, and memory reachable from -thread CPU registers.</p> - -<p>In all modes except "draconian," live memory is not -considered to be a leak. We detect this by doing a liveness flood, -traversing pointers to heap objects starting from some initial memory -regions we know to potentially contain live pointer data. Note that -this flood might potentially not find some (global) live data region -to start the flood from. If you find such, please file a bug.</p> - -<p>The liveness flood attempts to treat any properly aligned byte -sequences as pointers to heap objects and thinks that it found a good -pointer whenever the current heap memory map contains an object with -the address whose byte representation we found. Some pointers into -not-at-start of object will also work here.</p> - -<p>As a result of this simple approach, it's possible (though -unlikely) for the flood to be inexact and occasionally result in -leaked objects being erroneously determined to be live. For instance, -random bit patterns can happen to look like pointers to leaked heap -objects. More likely, stale pointer data not corresponding to any -live program variables can be still present in memory regions, -especially in thread stacks. For instance, depending on how the local -<code>malloc</code> is implemented, it may reuse a heap object -address:</p> -<pre> - char* p = new char[1]; // new might return 0x80000000, say. - delete p; - new char[1]; // new might return 0x80000000 again - // This last new is a leak, but doesn't seem it: p looks like it points to it -</pre> - -<p>In other words, imprecisions in the liveness flood mean that for -any heap leak check we might miss some memory leaks. This means that -for local leak checks, we might report a memory leak in the local -area, even though the leak actually happened before the -<code>HeapLeakChecker</code> object was constructed. Note that for -whole-program checks, a leak report <i>does</i> always correspond to a -real leak (since there's no "before" to have created a false-live -object).</p> - -<p>While this liveness flood approach is not very portable and not -100% accurate, it works in most cases and saves us from writing a lot -of explicit clean up code and other hassles when dealing with thread -data.</p> - - -<h3>Visualizing Leak with <code>pprof</code></h3> - -<p> -The heap checker automatically prints basic leak info with stack traces of -leaked objects' allocation sites, as well as a pprof command line that can be -used to visualize the call-graph involved in these allocations. -The latter can be much more useful for a human -to see where/why the leaks happened, especially if the leaks are numerous. -</p> - -<h3>Leak-checking and Threads</h3> - -<p>At the time of HeapLeakChecker's construction and during -<code>NoLeaks()</code> calls, we grab a lock -and then pause all other threads so other threads do not interfere -with recording or analyzing the state of the heap.</p> - -<p>In general, leak checking works correctly in the presence of -threads. However, thread stack data liveness determination (via -<code>base/thread_lister.h</code>) does not work when the program is -running under GDB, because the ptrace functionality needed for finding -threads is already hooked to by GDB. Conversely, leak checker's -ptrace attempts might also interfere with GDB. As a result, GDB can -result in potentially false leak reports. For this reason, the -heap-checker turns itself off when running under GDB.</p> - -<p>Also, <code>thread_lister</code> only works for Linux pthreads; -leak checking is unlikely to handle other thread implementations -correctly.</p> - -<p>As mentioned in the discussion of liveness flooding, thread-stack -liveness determination might mis-classify as reachable objects that -very recently became unreachable (leaked). This can happen when the -pointers to now-logically-unreachable objects are present in the -active thread stack frame. In other words, trivial code like the -following might not produce the expected leak checking outcome -depending on how the compiled code works with the stack:</p> -<pre> - int* foo = new int [20]; - HeapLeakChecker check("a_check"); - foo = NULL; - // May fail to trigger. - if (!heap_checker.NoLeaks()) assert(NULL == "heap memory leak"); -</pre> - - -<hr> -<address>Maxim Lifantsev<br> -<!-- Created: Tue Dec 19 10:43:14 PST 2000 --> -<!-- hhmts start --> -Last modified: Fri Jul 13 13:14:33 PDT 2007 -<!-- hhmts end --> -</address> -</body> -</html> diff --git a/src/third_party/gperftools-2.7/docs/heapprofile.html b/src/third_party/gperftools-2.7/docs/heapprofile.html deleted file mode 100644 index 6f508699eeb..00000000000 --- a/src/third_party/gperftools-2.7/docs/heapprofile.html +++ /dev/null @@ -1,391 +0,0 @@ -<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"> -<HTML> - -<HEAD> - <link rel="stylesheet" href="designstyle.css"> - <title>Gperftools Heap Profiler</title> -</HEAD> - -<BODY> - -<p align=right> - <i>Last modified - <script type=text/javascript> - var lm = new Date(document.lastModified); - document.write(lm.toDateString()); - </script></i> -</p> - -<p>This is the heap profiler we use at Google, to explore how C++ -programs manage memory. This facility can be useful for</p> -<ul> - <li> Figuring out what is in the program heap at any given time - <li> Locating memory leaks - <li> Finding places that do a lot of allocation -</ul> - -<p>The profiling system instruments all allocations and frees. It -keeps track of various pieces of information per allocation site. An -allocation site is defined as the active stack trace at the call to -<code>malloc</code>, <code>calloc</code>, <code>realloc</code>, or, -<code>new</code>.</p> - -<p>There are three parts to using it: linking the library into an -application, running the code, and analyzing the output.</p> - - -<h1>Linking in the Library</h1> - -<p>To install the heap profiler into your executable, add -<code>-ltcmalloc</code> to the link-time step for your executable. -Also, while we don't necessarily recommend this form of usage, it's -possible to add in the profiler at run-time using -<code>LD_PRELOAD</code>: -<pre>% env LD_PRELOAD="/usr/lib/libtcmalloc.so" <binary></pre> - -<p>This does <i>not</i> turn on heap profiling; it just inserts the -code. For that reason, it's practical to just always link -<code>-ltcmalloc</code> into a binary while developing; that's what we -do at Google. (However, since any user can turn on the profiler by -setting an environment variable, it's not necessarily recommended to -install profiler-linked binaries into a production, running -system.) Note that if you wish to use the heap profiler, you must -also use the tcmalloc memory-allocation library. There is no way -currently to use the heap profiler separate from tcmalloc.</p> - - -<h1>Running the Code</h1> - -<p>There are several alternatives to actually turn on heap profiling -for a given run of an executable:</p> - -<ol> - <li> <p>Define the environment variable HEAPPROFILE to the filename - to dump the profile to. For instance, to profile - <code>/usr/local/bin/my_binary_compiled_with_tcmalloc</code>:</p> - <pre>% env HEAPPROFILE=/tmp/mybin.hprof /usr/local/bin/my_binary_compiled_with_tcmalloc</pre> - <li> <p>In your code, bracket the code you want profiled in calls to - <code>HeapProfilerStart()</code> and <code>HeapProfilerStop()</code>. - (These functions are declared in <code><gperftools/heap-profiler.h></code>.) - <code>HeapProfilerStart()</code> will take the - profile-filename-prefix as an argument. Then, as often as - you'd like before calling <code>HeapProfilerStop()</code>, you - can use <code>HeapProfilerDump()</code> or - <code>GetHeapProfile()</code> to examine the profile. In case - it's useful, <code>IsHeapProfilerRunning()</code> will tell you - whether you've already called HeapProfilerStart() or not.</p> -</ol> - - -<p>For security reasons, heap profiling will not write to a file -- -and is thus not usable -- for setuid programs.</p> - -<H2>Modifying Runtime Behavior</H2> - -<p>You can more finely control the behavior of the heap profiler via -environment variables.</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>HEAP_PROFILE_ALLOCATION_INTERVAL</code></td> - <td>default: 1073741824 (1 Gb)</td> - <td> - Dump heap profiling information each time the specified number of - bytes has been allocated by the program. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_PROFILE_INUSE_INTERVAL</code></td> - <td>default: 104857600 (100 Mb)</td> - <td> - Dump heap profiling information whenever the high-water memory - usage mark increases by the specified number of bytes. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_PROFILE_TIME_INTERVAL</code></td> - <td>default: 0</td> - <td> - Dump heap profiling information each time the specified - number of seconds has elapsed. - </td> -</tr> - -<tr valign=top> - <td><code>HEAPPROFILESIGNAL</code></td> - <td>default: disabled</td> - <td> - Dump heap profiling information whenever the specified signal is sent to the - process. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_PROFILE_MMAP</code></td> - <td>default: false</td> - <td> - Profile <code>mmap</code>, <code>mremap</code> and <code>sbrk</code> - calls in addition - to <code>malloc</code>, <code>calloc</code>, <code>realloc</code>, - and <code>new</code>. <b>NOTE:</b> this causes the profiler to - profile calls internal to tcmalloc, since tcmalloc and friends use - mmap and sbrk internally for allocations. One partial solution is - to filter these allocations out when running <code>pprof</code>, - with something like - <code>pprof --ignore='DoAllocWithArena|SbrkSysAllocator::Alloc|MmapSysAllocator::Alloc</code>. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_PROFILE_ONLY_MMAP</code></td> - <td>default: false</td> - <td> - Only profile <code>mmap</code>, <code>mremap</code>, and <code>sbrk</code> - calls; do not profile - <code>malloc</code>, <code>calloc</code>, <code>realloc</code>, - or <code>new</code>. - </td> -</tr> - -<tr valign=top> - <td><code>HEAP_PROFILE_MMAP_LOG</code></td> - <td>default: false</td> - <td> - Log <code>mmap</code>/<code>munmap</code> calls. - </td> -</tr> - -</table> - -<H2>Checking for Leaks</H2> - -<p>You can use the heap profiler to manually check for leaks, for -instance by reading the profiler output and looking for large -allocations. However, for that task, it's easier to use the <A -HREF="heap_checker.html">automatic heap-checking facility</A> built -into tcmalloc.</p> - - -<h1><a name="pprof">Analyzing the Output</a></h1> - -<p>If heap-profiling is turned on in a program, the program will -periodically write profiles to the filesystem. The sequence of -profiles will be named:</p> -<pre> - <prefix>.0000.heap - <prefix>.0001.heap - <prefix>.0002.heap - ... -</pre> -<p>where <code><prefix></code> is the filename-prefix supplied -when running the code (e.g. via the <code>HEAPPROFILE</code> -environment variable). Note that if the supplied prefix -does not start with a <code>/</code>, the profile files will be -written to the program's working directory.</p> - -<p>The profile output can be viewed by passing it to the -<code>pprof</code> tool -- the same tool that's used to analyze <A -HREF="cpuprofile.html">CPU profiles</A>. - -<p>Here are some examples. These examples assume the binary is named -<code>gfs_master</code>, and a sequence of heap profile files can be -found in files named:</p> -<pre> - /tmp/profile.0001.heap - /tmp/profile.0002.heap - ... - /tmp/profile.0100.heap -</pre> - -<h3>Why is a process so big</h3> - -<pre> - % pprof --gv gfs_master /tmp/profile.0100.heap -</pre> - -<p>This command will pop-up a <code>gv</code> window that displays -the profile information as a directed graph. Here is a portion -of the resulting output:</p> - -<p><center> -<img src="heap-example1.png"> -</center></p> - -A few explanations: -<ul> -<li> <code>GFS_MasterChunk::AddServer</code> accounts for 255.6 MB - of the live memory, which is 25% of the total live memory. -<li> <code>GFS_MasterChunkTable::UpdateState</code> is directly - accountable for 176.2 MB of the live memory (i.e., it directly - allocated 176.2 MB that has not been freed yet). Furthermore, - it and its callees are responsible for 729.9 MB. The - labels on the outgoing edges give a good indication of the - amount allocated by each callee. -</ul> - -<h3>Comparing Profiles</h3> - -<p>You often want to skip allocations during the initialization phase -of a program so you can find gradual memory leaks. One simple way to -do this is to compare two profiles -- both collected after the program -has been running for a while. Specify the name of the first profile -using the <code>--base</code> option. For example:</p> -<pre> - % pprof --base=/tmp/profile.0004.heap gfs_master /tmp/profile.0100.heap -</pre> - -<p>The memory-usage in <code>/tmp/profile.0004.heap</code> will be -subtracted from the memory-usage in -<code>/tmp/profile.0100.heap</code> and the result will be -displayed.</p> - -<h3>Text display</h3> - -<pre> -% pprof --text gfs_master /tmp/profile.0100.heap - 255.6 24.7% 24.7% 255.6 24.7% GFS_MasterChunk::AddServer - 184.6 17.8% 42.5% 298.8 28.8% GFS_MasterChunkTable::Create - 176.2 17.0% 59.5% 729.9 70.5% GFS_MasterChunkTable::UpdateState - 169.8 16.4% 75.9% 169.8 16.4% PendingClone::PendingClone - 76.3 7.4% 83.3% 76.3 7.4% __default_alloc_template::_S_chunk_alloc - 49.5 4.8% 88.0% 49.5 4.8% hashtable::resize - ... -</pre> - -<p> -<ul> - <li> The first column contains the direct memory use in MB. - <li> The fourth column contains memory use by the procedure - and all of its callees. - <li> The second and fifth columns are just percentage - representations of the numbers in the first and fourth columns. - <li> The third column is a cumulative sum of the second column - (i.e., the <code>k</code>th entry in the third column is the - sum of the first <code>k</code> entries in the second column.) -</ul> - -<h3>Ignoring or focusing on specific regions</h3> - -<p>The following command will give a graphical display of a subset of -the call-graph. Only paths in the call-graph that match the regular -expression <code>DataBuffer</code> are included:</p> -<pre> -% pprof --gv --focus=DataBuffer gfs_master /tmp/profile.0100.heap -</pre> - -<p>Similarly, the following command will omit all paths subset of the -call-graph. All paths in the call-graph that match the regular -expression <code>DataBuffer</code> are discarded:</p> -<pre> -% pprof --gv --ignore=DataBuffer gfs_master /tmp/profile.0100.heap -</pre> - -<h3>Total allocations + object-level information</h3> - -<p>All of the previous examples have displayed the amount of in-use -space. I.e., the number of bytes that have been allocated but not -freed. You can also get other types of information by supplying a -flag to <code>pprof</code>:</p> - -<center> -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>--inuse_space</code></td> - <td> - Display the number of in-use megabytes (i.e. space that has - been allocated but not freed). This is the default. - </td> -</tr> - -<tr valign=top> - <td><code>--inuse_objects</code></td> - <td> - Display the number of in-use objects (i.e. number of - objects that have been allocated but not freed). - </td> -</tr> - -<tr valign=top> - <td><code>--alloc_space</code></td> - <td> - Display the number of allocated megabytes. This includes - the space that has since been de-allocated. Use this - if you want to find the main allocation sites in the - program. - </td> -</tr> - -<tr valign=top> - <td><code>--alloc_objects</code></td> - <td> - Display the number of allocated objects. This includes - the objects that have since been de-allocated. Use this - if you want to find the main allocation sites in the - program. - </td> - -</table> -</center> - - -<h3>Interactive mode</a></h3> - -<p>By default -- if you don't specify any flags to the contrary -- -pprof runs in interactive mode. At the <code>(pprof)</code> prompt, -you can run many of the commands described above. You can type -<code>help</code> for a list of what commands are available in -interactive mode.</p> - - -<h1>Caveats</h1> - -<ul> - <li> Heap profiling requires the use of libtcmalloc. This - requirement may be removed in a future version of the heap - profiler, and the heap profiler separated out into its own - library. - - <li> If the program linked in a library that was not compiled - with enough symbolic information, all samples associated - with the library may be charged to the last symbol found - in the program before the library. This will artificially - inflate the count for that symbol. - - <li> If you run the program on one machine, and profile it on - another, and the shared libraries are different on the two - machines, the profiling output may be confusing: samples that - fall within the shared libaries may be assigned to arbitrary - procedures. - - <li> Several libraries, such as some STL implementations, do their - own memory management. This may cause strange profiling - results. We have code in libtcmalloc to cause STL to use - tcmalloc for memory management (which in our tests is better - than STL's internal management), though it only works for some - STL implementations. - - <li> If your program forks, the children will also be profiled - (since they inherit the same HEAPPROFILE setting). Each - process is profiled separately; to distinguish the child - profiles from the parent profile and from each other, all - children will have their process-id attached to the HEAPPROFILE - name. - - <li> Due to a hack we make to work around a possible gcc bug, your - profiles may end up named strangely if the first character of - your HEAPPROFILE variable has ascii value greater than 127. - This should be exceedingly rare, but if you need to use such a - name, just set prepend <code>./</code> to your filename: - <code>HEAPPROFILE=./Ägypten</code>. -</ul> - -<hr> -<address>Sanjay Ghemawat -<!-- Created: Tue Dec 19 10:43:14 PST 2000 --> -</address> -</body> -</html> diff --git a/src/third_party/gperftools-2.7/docs/index.html b/src/third_party/gperftools-2.7/docs/index.html deleted file mode 100644 index 7b93ed3965c..00000000000 --- a/src/third_party/gperftools-2.7/docs/index.html +++ /dev/null @@ -1,20 +0,0 @@ -<HTML> - -<HEAD> -<title>Gperftools</title> -</HEAD> - -<BODY> -<ul> - <li> <A HREF="tcmalloc.html">thread-caching malloc</A> - <li> <A HREF="heap_checker.html">heap-checking using tcmalloc</A> - <li> <A HREF="heapprofile.html">heap-profiling using tcmalloc</A> - <li> <A HREF="cpuprofile.html">CPU profiler</A> -</ul> - -<hr> -Last modified: Thu Feb 2 14:40:47 PST 2012 - -</BODY> - -</HTML> diff --git a/src/third_party/gperftools-2.7/docs/overview.dot b/src/third_party/gperftools-2.7/docs/overview.dot deleted file mode 100644 index 9966f56cfc8..00000000000 --- a/src/third_party/gperftools-2.7/docs/overview.dot +++ /dev/null @@ -1,15 +0,0 @@ -digraph Overview { -node [shape = box] - -{rank=same -T1 [label="Thread Cache"] -Tsep [label="...", shape=plaintext] -Tn [label="Thread Cache"] -T1 -> Tsep -> Tn [style=invis] -} - -C [label="Central\nHeap"] -T1 -> C [dir=both] -Tn -> C [dir=both] - -} diff --git a/src/third_party/gperftools-2.7/docs/overview.gif b/src/third_party/gperftools-2.7/docs/overview.gif Binary files differdeleted file mode 100644 index 43828dadec8..00000000000 --- a/src/third_party/gperftools-2.7/docs/overview.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/pageheap.dot b/src/third_party/gperftools-2.7/docs/pageheap.dot deleted file mode 100644 index 5e9aec87ef7..00000000000 --- a/src/third_party/gperftools-2.7/docs/pageheap.dot +++ /dev/null @@ -1,25 +0,0 @@ -digraph PageHeap { -rankdir=LR -node [shape=box, width=0.3, height=0.3] -nodesep=.05 - -heap [shape=record, height=3, label="<f0>1 page|<f1>2 pages|<f2>3 pages|...|<f128>128 pages"] -O0 [shape=record, label=""] -O1 [shape=record, label=""] -O2 [shape=record, label="{|}"] -O3 [shape=record, label="{|}"] -O4 [shape=record, label="{||}"] -O5 [shape=record, label="{||}"] -O6 [shape=record, label="{|...|}"] -O7 [shape=record, label="{|...|}"] -sep1 [shape=plaintext, label="..."] -sep2 [shape=plaintext, label="..."] -sep3 [shape=plaintext, label="..."] -sep4 [shape=plaintext, label="..."] - -heap:f0 -> O0 -> O1 -> sep1 -heap:f1 -> O2 -> O3 -> sep2 -heap:f2 -> O4 -> O5 -> sep3 -heap:f128 -> O6 -> O7 -> sep4 - -} diff --git a/src/third_party/gperftools-2.7/docs/pageheap.gif b/src/third_party/gperftools-2.7/docs/pageheap.gif Binary files differdeleted file mode 100644 index 5cf00bd9cdb..00000000000 --- a/src/third_party/gperftools-2.7/docs/pageheap.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/pprof-test-big.gif b/src/third_party/gperftools-2.7/docs/pprof-test-big.gif Binary files differdeleted file mode 100644 index 67a1240fc10..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof-test-big.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/pprof-test.gif b/src/third_party/gperftools-2.7/docs/pprof-test.gif Binary files differdeleted file mode 100644 index 9eeab8ad230..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof-test.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/pprof-vsnprintf-big.gif b/src/third_party/gperftools-2.7/docs/pprof-vsnprintf-big.gif Binary files differdeleted file mode 100644 index 2ab292abac5..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof-vsnprintf-big.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/pprof-vsnprintf.gif b/src/third_party/gperftools-2.7/docs/pprof-vsnprintf.gif Binary files differdeleted file mode 100644 index 42a85472cae..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof-vsnprintf.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/pprof.1 b/src/third_party/gperftools-2.7/docs/pprof.1 deleted file mode 100644 index f0f6cafc1ad..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof.1 +++ /dev/null @@ -1,131 +0,0 @@ -.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.23. -.TH PPROF "1" "February 2005" "pprof (part of gperftools)" Google -.SH NAME -pprof \- manual page for pprof (part of gperftools) -.SH SYNOPSIS -.B pprof -[\fIoptions\fR] \fI<program> <profile>\fR -.SH DESCRIPTION -.IP -Prints specified cpu- or heap-profile -.SH OPTIONS -.TP -\fB\-\-cum\fR -Sort by cumulative data -.TP -\fB\-\-base=\fR<base> -Subtract <base> from <profile> before display -.SS "Reporting Granularity:" -.TP -\fB\-\-addresses\fR -Report at address level -.TP -\fB\-\-lines\fR -Report at source line level -.TP -\fB\-\-functions\fR -Report at function level [default] -.TP -\fB\-\-files\fR -Report at source file level -.SS "Output type:" -.TP -\fB\-\-text\fR -Generate text report [default] -.TP -\fB\-\-gv\fR -Generate Postscript and display -.TP -\fB\-\-list=\fR<regexp> -Generate source listing of matching routines -.TP -\fB\-\-disasm=\fR<regexp> -Generate disassembly of matching routines -.TP -\fB\-\-dot\fR -Generate DOT file to stdout -.TP -\fB\-\-ps\fR -Generate Postscript to stdout -.TP -\fB\-\-pdf\fR -Generate PDF to stdout -.TP -\fB\-\-gif\fR -Generate GIF to stdout -.SS "Heap-Profile Options:" -.TP -\fB\-\-inuse_space\fR -Display in-use (mega)bytes [default] -.TP -\fB\-\-inuse_objects\fR -Display in-use objects -.TP -\fB\-\-alloc_space\fR -Display allocated (mega)bytes -.TP -\fB\-\-alloc_objects\fR -Display allocated objects -.TP -\fB\-\-show_bytes\fR -Display space in bytes -.TP -\fB\-\-drop_negative\fR -Ignore negaive differences -.SS "Call-graph Options:" -.TP -\fB\-\-nodecount=\fR<n> -Show at most so many nodes [default=80] -.TP -\fB\-\-nodefraction=\fR<f> -Hide nodes below <f>*total [default=.005] -.TP -\fB\-\-edgefraction=\fR<f> -Hide edges below <f>*total [default=.001] -.TP -\fB\-\-focus=\fR<regexp> -Focus on nodes matching <regexp> -.TP -\fB\-\-ignore=\fR<regexp> -Ignore nodes matching <regexp> -.TP -\fB\-\-scale=\fR<n> -Set GV scaling [default=0] -.SH EXAMPLES - -pprof /bin/ls ls.prof -.IP -Outputs one line per procedure -.PP -pprof \fB\-\-gv\fR /bin/ls ls.prof -.IP -Displays annotated call-graph via 'gv' -.PP -pprof \fB\-\-gv\fR \fB\-\-focus\fR=\fIMutex\fR /bin/ls ls.prof -.IP -Restricts to code paths including a .*Mutex.* entry -.PP -pprof \fB\-\-gv\fR \fB\-\-focus\fR=\fIMutex\fR \fB\-\-ignore\fR=\fIstring\fR /bin/ls ls.prof -.IP -Code paths including Mutex but not string -.PP -pprof \fB\-\-list\fR=\fIgetdir\fR /bin/ls ls.prof -.IP -Dissassembly (with per-line annotations) for getdir() -.PP -pprof \fB\-\-disasm\fR=\fIgetdir\fR /bin/ls ls.prof -.IP -Dissassembly (with per-PC annotations) for getdir() -.SH COPYRIGHT -Copyright \(co 2005 Google Inc. -.SH "SEE ALSO" -Further documentation for -.B pprof -is maintained as a web page called -.B cpu_profiler.html -and is likely installed at one of the following locations: -.IP -.B /usr/share/gperftools/cpu_profiler.html -.br -.B /usr/local/share/gperftools/cpu_profiler.html -.PP diff --git a/src/third_party/gperftools-2.7/docs/pprof.see_also b/src/third_party/gperftools-2.7/docs/pprof.see_also deleted file mode 100644 index f2caf521258..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof.see_also +++ /dev/null @@ -1,11 +0,0 @@ -[see also] -Further documentation for -.B pprof -is maintained as a web page called -.B cpu_profiler.html -and is likely installed at one of the following locations: -.IP -.B /usr/share/gperftools/cpu_profiler.html -.br -.B /usr/local/share/gperftools/cpu_profiler.html -.PP diff --git a/src/third_party/gperftools-2.7/docs/pprof_remote_servers.html b/src/third_party/gperftools-2.7/docs/pprof_remote_servers.html deleted file mode 100644 index e30e6129c54..00000000000 --- a/src/third_party/gperftools-2.7/docs/pprof_remote_servers.html +++ /dev/null @@ -1,260 +0,0 @@ -<HTML> - -<HEAD> -<title>pprof and Remote Servers</title> -</HEAD> - -<BODY> - -<h1><code>pprof</code> and Remote Servers</h1> - -<p>In mid-2006, we added an experimental facility to <A -HREF="cpu_profiler.html">pprof</A>, the tool that analyzes CPU and -heap profiles. This facility allows you to collect profile -information from running applications. It makes it easy to collect -profile information without having to stop the program first, and -without having to log into the machine where the application is -running. This is meant to be used on webservers, but will work on any -application that can be modified to accept TCP connections on a port -of its choosing, and to respond to HTTP requests on that port.</p> - -<p>We do not currently have infrastructure, such as apache modules, -that you can pop into a webserver or other application to get the -necessary functionality "for free." However, it's easy to generate -the necessary data, which should allow the interested developer to add -the necessary support into his or her applications.</p> - -<p>To use <code>pprof</code> in this experimental "server" mode, you -give the script a host and port it should query, replacing the normal -commandline arguments of application + profile file:</p> -<pre> - % pprof internalweb.mycompany.com:80 -</pre> - -<p>The host must be listening on that port, and be able to accept HTTP/1.0 -requests -- sent via <code>wget</code> and <code>curl</code> -- for -several urls. The following sections list the urls that -<code>pprof</code> can send, and the responses it expects in -return.</p> - -<p>Here are examples that pprof will recognize, when you give them -on the commandline, are urls. In general, you -specify the host and a port (the port-number is required), and put -the service-name at the end of the url.:</p> -<blockquote><pre> -http://myhost:80/pprof/heap # retrieves a heap profile -http://myhost:8008/pprof/profile # retrieves a CPU profile -http://myhost:80 # retrieves a CPU profile (the default) -http://myhost:8080/ # retrieves a CPU profile (the default) -myhost:8088/pprof/growth # "http://" is optional, but port is not -http://myhost:80/myservice/pprof/heap # /pprof/heap just has to come at the end -http://myhost:80/pprof/pmuprofile # CPU profile using performance counters -</pre></blockquote> - -<h2> <code><b>/pprof/heap</b></code> </h2> - -<p><code>pprof</code> asks for the url <code>/pprof/heap</code> to -get heap information. The actual url is controlled via the variable -<code>HEAP_PAGE</code> in the <code>pprof</code> script, so you -can change it if you'd like.</p> - -<p>There are two ways to get this data. The first is to call</p> -<pre> - MallocExtension::instance()->GetHeapSample(&output); -</pre> -<p>and have the server send <code>output</code> back as an HTTP -response to <code>pprof</code>. <code>MallocExtension</code> is -defined in the header file <code>gperftools/malloc_extension.h</code>.</p> - -<p>Note this will only only work if the binary is being run with -sampling turned on (which is not the default). To do this, set the -environment variable <code>TCMALLOC_SAMPLE_PARAMETER</code> to a -positive value, such as 524288, before running.</p> - -<p>The other way is to call <code>HeapProfileStart(filename)</code> -(from <code>heap-profiler.h</code>), continue to do work, and then, -some number of seconds later, call <code>GetHeapProfile()</code> -(followed by <code>HeapProfilerStop()</code>). The server can send -the output of <code>GetHeapProfile</code> back as the HTTP response to -pprof. (Note you must <code>free()</code> this data after using it.) -This is similar to how <A HREF="#profile">profile requests</A> are -handled, below. This technique does not require the application to -run with sampling turned on.</p> - -<p>Here's an example of what the output should look like:</p> -<pre> -heap profile: 1923: 127923432 [ 1923: 127923432] @ heap_v2/524288 - 1: 312 [ 1: 312] @ 0x2aaaabaf5ccc 0x2aaaaba4cd2c 0x2aaaac08c09a - 928: 122586016 [ 928: 122586016] @ 0x2aaaabaf682c 0x400680 0x400bdd 0x2aaaab1c368a 0x2aaaab1c8f77 0x2aaaab1c0396 0x2aaaab1c86ed 0x4007ff 0x2aaaaca62afa - 1: 16 [ 1: 16] @ 0x2aaaabaf5ccc 0x2aaaabb04bac 0x2aaaabc1b262 0x2aaaabc21496 0x2aaaabc214bb -[...] -</pre> - - -<p> Older code may produce "version 1" heap profiles which look like this:<p/> -<pre> -heap profile: 14933: 791700132 [ 14933: 791700132] @ heap - 1: 848688 [ 1: 848688] @ 0xa4b142 0x7f5bfc 0x87065e 0x4056e9 0x4125f8 0x42b4f1 0x45b1ba 0x463248 0x460871 0x45cb7c 0x5f1744 0x607cee 0x5f4a5e 0x40080f 0x2aaaabad7afa - 1: 1048576 [ 1: 1048576] @ 0xa4a9b2 0x7fd025 0x4ca6d8 0x4ca814 0x4caa88 0x2aaaab104cf0 0x404e20 0x4125f8 0x42b4f1 0x45b1ba 0x463248 0x460871 0x45cb7c 0x5f1744 0x607cee 0x5f4a5e 0x40080f 0x2aaaabad7afa - 2942: 388629374 [ 2942: 388629374] @ 0xa4b142 0x4006a0 0x400bed 0x5f0cfa 0x5f1744 0x607cee 0x5f4a5e 0x40080f 0x2aaaabad7afa -[...] -</pre> -<p>pprof accepts both old and new heap profiles and automatically -detects which one you are using.</p> - -<h2> <code><b>/pprof/growth</b></code> </h2> - -<p><code>pprof</code> asks for the url <code>/pprof/growth</code> to -get heap-profiling delta (growth) information. The actual url is -controlled via the variable <code>GROWTH_PAGE</code> in the -<code>pprof</code> script, so you can change it if you'd like.</p> - -<p>The server should respond by calling</p> -<pre> - MallocExtension::instance()->GetHeapGrowthStacks(&output); -</pre> -<p>and sending <code>output</code> back as an HTTP response to -<code>pprof</code>. <code>MallocExtension</code> is defined in the -header file <code>gperftools/malloc_extension.h</code>.</p> - -<p>Here's an example, from an actual Google webserver, of what the -output should look like:</p> -<pre> -heap profile: 741: 812122112 [ 741: 812122112] @ growth - 1: 1572864 [ 1: 1572864] @ 0x87da564 0x87db8a3 0x84787a4 0x846e851 0x836d12f 0x834cd1c 0x8349ba5 0x10a3177 0x8349961 - 1: 1048576 [ 1: 1048576] @ 0x87d92e8 0x87d9213 0x87d9178 0x87d94d3 0x87da9da 0x8a364ff 0x8a437e7 0x8ab7d23 0x8ab7da9 0x8ac7454 0x8348465 0x10a3161 0x8349961 -[...] -</pre> - - -<h2> <A NAME="profile"><code><b>/pprof/profile</b></code></A> </h2> - -<p><code>pprof</code> asks for the url -<code>/pprof/profile?seconds=XX</code> to get cpu-profiling -information. The actual url is controlled via the variable -<code>PROFILE_PAGE</code> in the <code>pprof</code> script, so you can -change it if you'd like.</p> - -<p>The server should respond by calling -<code>ProfilerStart(filename)</code>, continuing to do its work, and -then, XX seconds later, calling <code>ProfilerStop()</code>. (These -functions are declared in <code>gperftools/profiler.h</code>.) The -application is responsible for picking a unique filename for -<code>ProfilerStart()</code>. After calling -<code>ProfilerStop()</code>, the server should read the contents of -<code>filename</code> and send them back as an HTTP response to -<code>pprof</code>.</p> - -<p>Obviously, to get useful profile information the application must -continue to run in the XX seconds that the profiler is running. Thus, -the profile start-stop calls should be done in a separate thread, or -be otherwise non-blocking.</p> - -<p>The profiler output file is binary, but near the end of it, it -should have lines of text somewhat like this:</p> -<pre> -01016000-01017000 rw-p 00015000 03:01 59314 /lib/ld-2.2.2.so -</pre> - -<h2> <code><b>/pprof/pmuprofile</b></code> </h2> - -<code>pprof</code> asks for a url of the form -<code>/pprof/pmuprofile?event=hw_event:unit_mask&period=nnn&seconds=xxx</code> -to get cpu-profiling information. The actual url is controlled via the variable -<code>PMUPROFILE_PAGE</code> in the <code>pprof</code> script, so you can -change it if you'd like.</p> - -<p> -This is similar to pprof, but is meant to be used with your CPU's hardware -performance counters. The server could be implemented on top of a library -such as <a href="http://perfmon2.sourceforge.net/"> -<code>libpfm</code></a>. It should collect a sample every nnn occurrences -of the event and stop the sampling after xxx seconds. Much of the code -for <code>/pprof/profile</code> can be reused for this purpose. -</p> - -<p>The server side routines (the equivalent of -ProfilerStart/ProfilerStart) are not available as part of perftools, -so this URL is unlikely to be that useful.</p> - -<h2> <code><b>/pprof/contention</b></code> </h2> - -<p>This is intended to be able to profile (thread) lock contention in -addition to CPU and memory use. It's not yet usable.</p> - - -<h2> <code><b>/pprof/cmdline</b></code> </h2> - -<p><code>pprof</code> asks for the url <code>/pprof/cmdline</code> to -figure out what application it's profiling. The actual url is -controlled via the variable <code>PROGRAM_NAME_PAGE</code> in the -<code>pprof</code> script, so you can change it if you'd like.</p> - -<p>The server should respond by reading the contents of -<code>/proc/self/cmdline</code>, converting all internal NUL (\0) -characters to newlines, and sending the result back as an HTTP -response to <code>pprof</code>.</p> - -<p>Here's an example return value:<p> -<pre> -/root/server/custom_webserver -80 ---configfile=/root/server/ws.config -</pre> - - -<h2> <code><b>/pprof/symbol</b></code> </h2> - -<p><code>pprof</code> asks for the url <code>/pprof/symbol</code> to -map from hex addresses to variable names. The actual url is -controlled via the variable <code>SYMBOL_PAGE</code> in the -<code>pprof</code> script, so you can change it if you'd like.</p> - -<p>When the server receives a GET request for -<code>/pprof/symbol</code>, it should return a line formatted like -so:</p> -<pre> - num_symbols: ### -</pre> -<p>where <code>###</code> is the number of symbols found in the -binary. (For now, the only important distinction is whether the value -is 0, which it is for executables that lack debug information, or -not-0).</p> - -<p>This is perhaps the hardest request to write code for, because in -addition to the GET request for this url, the server must accept POST -requests. This means that after the HTTP headers, pprof will pass in -a list of hex addresses connected by <code>+</code>, like so:</p> -<pre> - curl -d '0x0824d061+0x0824d1cf' http://remote_host:80/pprof/symbol -</pre> - -<p>The server should read the POST data, which will be in one line, -and for each hex value, should write one line of output to the output -stream, like so:</p> -<pre> -<hex address><tab><function name> -</pre> -<p>For instance:</p> -<pre> -0x08b2dabd _Update -</pre> - -<p>The other reason this is the most difficult request to implement, -is that the application will have to figure out for itself how to map -from address to function name. One possibility is to run <code>nm -C --n <program name></code> to get the mappings at -program-compile-time. Another, at least on Linux, is to call out to -addr2line for every <code>pprof/symbol</code> call, for instance -<code>addr2line -Cfse /proc/<getpid>/exe 0x12345678 0x876543210</code> -(presumably with some caching!)</p> - -<p><code>pprof</code> itself does just this for local profiles (not -ones that talk to remote servers); look at the subroutine -<code>GetProcedureBoundaries</code>.</p> - - -<hr> -Last modified: Mon Jun 12 21:30:14 PDT 2006 -</body> -</html> diff --git a/src/third_party/gperftools-2.7/docs/spanmap.dot b/src/third_party/gperftools-2.7/docs/spanmap.dot deleted file mode 100644 index 3cb42abe5b2..00000000000 --- a/src/third_party/gperftools-2.7/docs/spanmap.dot +++ /dev/null @@ -1,22 +0,0 @@ -digraph SpanMap { -node [shape=box, width=0.3, height=0.3] -nodesep=.05 - -map [shape=record, width=6, label="<f0>|<f1>|<f2>|<f3>|<f4>|<f5>|<f6>|<f7>|<f8>|<f9>|<f10>"] -S0 [label="a"] -S1 [label="b"] -S2 [label="c"] -S3 [label="d"] -map:f0 -> S0 -map:f1 -> S0 -map:f2 -> S1 -map:f3 -> S2 -map:f4 -> S2 -map:f5 -> S2 -map:f6 -> S2 -map:f7 -> S2 -map:f8 -> S3 -map:f9 -> S3 -map:f10 -> S3 - -} diff --git a/src/third_party/gperftools-2.7/docs/spanmap.gif b/src/third_party/gperftools-2.7/docs/spanmap.gif Binary files differdeleted file mode 100644 index a0627f6a71a..00000000000 --- a/src/third_party/gperftools-2.7/docs/spanmap.gif +++ /dev/null diff --git a/src/third_party/gperftools-2.7/docs/t-test1.times.txt b/src/third_party/gperftools-2.7/docs/t-test1.times.txt deleted file mode 100644 index 016369385b2..00000000000 --- a/src/third_party/gperftools-2.7/docs/t-test1.times.txt +++ /dev/null @@ -1,480 +0,0 @@ -time.1.ptmalloc.64:0.56 user 0.02 system 0.57 elapsed 100% CPU -time.1.tcmalloc.64:0.38 user 0.02 system 0.40 elapsed 98% CPU -time.1.ptmalloc.128:0.61 user 0.01 system 0.61 elapsed 101% CPU -time.1.tcmalloc.128:0.35 user 0.00 system 0.35 elapsed 99% CPU -time.1.ptmalloc.256:0.59 user 0.01 system 0.60 elapsed 100% CPU -time.1.tcmalloc.256:0.27 user 0.02 system 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-time.4.tcmalloc.1024:1.53 user 0.02 system 0.56 elapsed 274% CPU -time.4.ptmalloc.2048:3.24 user 0.02 system 0.84 elapsed 384% CPU -time.4.tcmalloc.2048:1.44 user 0.04 system 0.66 elapsed 221% CPU -time.4.ptmalloc.4096:3.50 user 0.04 system 0.91 elapsed 389% CPU -time.4.tcmalloc.4096:1.31 user 0.01 system 0.89 elapsed 148% CPU -time.4.ptmalloc.8192:6.77 user 3.85 system 4.14 elapsed 256% CPU -time.4.tcmalloc.8192:1.20 user 0.05 system 0.97 elapsed 127% CPU -time.4.ptmalloc.16384:7.08 user 5.06 system 4.63 elapsed 262% CPU -time.4.tcmalloc.16384:1.27 user 0.03 system 1.25 elapsed 103% CPU -time.4.ptmalloc.32768:5.57 user 4.22 system 3.31 elapsed 295% CPU -time.4.tcmalloc.32768:2.17 user 0.03 system 2.25 elapsed 97% CPU -time.4.ptmalloc.65536:6.11 user 15.05 system 9.19 elapsed 230% CPU -time.4.tcmalloc.65536:2.51 user 0.02 system 2.57 elapsed 98% CPU -time.4.ptmalloc.131072:7.58 user 33.15 system 21.28 elapsed 191% CPU -time.4.tcmalloc.131072:3.57 user 0.07 system 3.66 elapsed 99% CPU -time.5.ptmalloc.64:4.44 user 2.08 system 4.37 elapsed 148% CPU -time.5.tcmalloc.64:2.87 user 0.02 system 0.79 elapsed 361% CPU -time.5.ptmalloc.128:4.77 user 2.77 system 5.14 elapsed 146% CPU -time.5.tcmalloc.128:2.65 user 0.03 system 0.72 elapsed 367% CPU -time.5.ptmalloc.256:5.82 user 2.88 system 5.49 elapsed 158% CPU -time.5.tcmalloc.256:2.33 user 0.01 system 0.66 elapsed 352% CPU -time.5.ptmalloc.512:6.27 user 3.11 system 5.34 elapsed 175% CPU -time.5.tcmalloc.512:2.14 user 0.03 system 0.70 elapsed 307% CPU -time.5.ptmalloc.1024:6.82 user 3.18 system 5.23 elapsed 191% CPU -time.5.tcmalloc.1024:2.20 user 0.02 system 0.70 elapsed 313% CPU -time.5.ptmalloc.2048:6.57 user 3.46 system 5.22 elapsed 192% CPU -time.5.tcmalloc.2048:2.15 user 0.03 system 0.82 elapsed 264% CPU -time.5.ptmalloc.4096:8.75 user 5.09 system 5.26 elapsed 263% CPU -time.5.tcmalloc.4096:1.68 user 0.03 system 1.08 elapsed 158% CPU -time.5.ptmalloc.8192:4.48 user 0.61 system 1.51 elapsed 335% CPU -time.5.tcmalloc.8192:1.47 user 0.07 system 1.18 elapsed 129% CPU -time.5.ptmalloc.16384:5.71 user 1.98 system 2.14 elapsed 358% CPU -time.5.tcmalloc.16384:1.58 user 0.03 system 1.52 elapsed 105% CPU -time.5.ptmalloc.32768:7.19 user 7.81 system 5.53 elapsed 270% CPU -time.5.tcmalloc.32768:2.63 user 0.05 system 2.72 elapsed 98% CPU -time.5.ptmalloc.65536:8.45 user 23.51 system 14.30 elapsed 223% CPU -time.5.tcmalloc.65536:3.12 user 0.05 system 3.21 elapsed 98% CPU -time.5.ptmalloc.131072:10.22 user 43.63 system 27.84 elapsed 193% CPU -time.5.tcmalloc.131072:4.42 user 0.07 system 4.51 elapsed 99% CPU -time.6.ptmalloc.64:5.57 user 2.56 system 5.08 elapsed 159% CPU -time.6.tcmalloc.64:3.20 user 0.01 system 0.89 elapsed 360% CPU -time.6.ptmalloc.128:5.98 user 3.52 system 5.71 elapsed 166% CPU -time.6.tcmalloc.128:2.76 user 0.02 system 0.78 elapsed 355% CPU -time.6.ptmalloc.256:4.61 user 0.02 system 1.19 elapsed 389% CPU -time.6.tcmalloc.256:2.65 user 0.02 system 0.74 elapsed 356% CPU -time.6.ptmalloc.512:8.28 user 3.88 system 6.61 elapsed 183% CPU -time.6.tcmalloc.512:2.60 user 0.02 system 0.72 elapsed 362% CPU -time.6.ptmalloc.1024:4.75 user 0.00 system 1.22 elapsed 387% CPU -time.6.tcmalloc.1024:2.56 user 0.02 system 0.79 elapsed 325% CPU -time.6.ptmalloc.2048:8.90 user 4.59 system 6.15 elapsed 219% CPU -time.6.tcmalloc.2048:2.37 user 0.06 system 0.96 elapsed 250% CPU -time.6.ptmalloc.4096:11.41 user 7.02 system 6.31 elapsed 291% CPU -time.6.tcmalloc.4096:1.82 user 0.03 system 1.19 elapsed 154% CPU -time.6.ptmalloc.8192:11.64 user 8.25 system 5.97 elapsed 332% CPU -time.6.tcmalloc.8192:1.83 user 0.07 system 1.38 elapsed 136% CPU -time.6.ptmalloc.16384:7.44 user 2.98 system 3.01 elapsed 345% CPU -time.6.tcmalloc.16384:1.83 user 0.08 system 1.80 elapsed 105% CPU -time.6.ptmalloc.32768:8.69 user 12.35 system 8.04 elapsed 261% CPU -time.6.tcmalloc.32768:3.14 user 0.06 system 3.24 elapsed 98% CPU -time.6.ptmalloc.65536:10.52 user 35.43 system 20.75 elapsed 221% CPU -time.6.tcmalloc.65536:3.62 user 0.03 system 3.72 elapsed 98% CPU -time.6.ptmalloc.131072:11.74 user 59.00 system 36.93 elapsed 191% CPU -time.6.tcmalloc.131072:5.33 user 0.04 system 5.42 elapsed 98% CPU -time.7.ptmalloc.64:6.60 user 3.45 system 6.01 elapsed 167% CPU -time.7.tcmalloc.64:3.50 user 0.04 system 0.94 elapsed 376% CPU -time.7.ptmalloc.128:7.09 user 4.25 system 6.69 elapsed 169% CPU -time.7.tcmalloc.128:3.13 user 0.03 system 0.84 elapsed 374% CPU -time.7.ptmalloc.256:9.28 user 4.85 system 7.20 elapsed 196% CPU -time.7.tcmalloc.256:3.06 user 0.02 system 0.82 elapsed 375% CPU -time.7.ptmalloc.512:9.13 user 4.78 system 6.79 elapsed 204% CPU -time.7.tcmalloc.512:2.99 user 0.03 system 0.83 elapsed 359% CPU -time.7.ptmalloc.1024:10.85 user 6.41 system 7.52 elapsed 229% CPU -time.7.tcmalloc.1024:3.05 user 0.04 system 0.89 elapsed 345% CPU -time.7.ptmalloc.2048:5.65 user 0.08 system 1.47 elapsed 388% CPU -time.7.tcmalloc.2048:3.01 user 0.01 system 0.98 elapsed 306% CPU -time.7.ptmalloc.4096:6.09 user 0.08 system 1.58 elapsed 389% CPU -time.7.tcmalloc.4096:2.25 user 0.03 system 1.32 elapsed 171% CPU -time.7.ptmalloc.8192:6.73 user 0.85 system 1.99 elapsed 379% CPU -time.7.tcmalloc.8192:2.22 user 0.08 system 1.61 elapsed 142% CPU -time.7.ptmalloc.16384:8.87 user 4.66 system 4.04 elapsed 334% CPU -time.7.tcmalloc.16384:2.07 user 0.07 system 2.07 elapsed 103% CPU -time.7.ptmalloc.32768:10.61 user 17.85 system 11.22 elapsed 253% CPU -time.7.tcmalloc.32768:3.68 user 0.06 system 3.79 elapsed 98% CPU -time.7.ptmalloc.65536:13.05 user 45.97 system 27.28 elapsed 216% CPU -time.7.tcmalloc.65536:4.16 user 0.07 system 4.31 elapsed 98% CPU -time.7.ptmalloc.131072:13.22 user 62.67 system 41.33 elapsed 183% CPU -time.7.tcmalloc.131072:6.10 user 0.06 system 6.25 elapsed 98% CPU -time.8.ptmalloc.64:7.31 user 3.92 system 6.39 elapsed 175% CPU -time.8.tcmalloc.64:4.00 user 0.01 system 1.04 elapsed 383% CPU -time.8.ptmalloc.128:9.40 user 5.41 system 7.67 elapsed 192% CPU -time.8.tcmalloc.128:3.61 user 0.02 system 0.94 elapsed 386% CPU -time.8.ptmalloc.256:10.61 user 6.35 system 7.96 elapsed 212% CPU -time.8.tcmalloc.256:3.30 user 0.02 system 0.99 elapsed 335% CPU -time.8.ptmalloc.512:12.42 user 7.10 system 8.79 elapsed 221% CPU -time.8.tcmalloc.512:3.35 user 0.04 system 0.94 elapsed 358% CPU -time.8.ptmalloc.1024:13.63 user 8.54 system 8.95 elapsed 247% CPU -time.8.tcmalloc.1024:3.44 user 0.02 system 0.96 elapsed 359% CPU -time.8.ptmalloc.2048:6.45 user 0.03 system 1.67 elapsed 386% CPU -time.8.tcmalloc.2048:3.55 user 0.05 system 1.09 elapsed 328% CPU -time.8.ptmalloc.4096:6.83 user 0.26 system 1.80 elapsed 393% CPU -time.8.tcmalloc.4096:2.78 user 0.06 system 1.53 elapsed 185% CPU -time.8.ptmalloc.8192:7.59 user 1.29 system 2.36 elapsed 376% CPU -time.8.tcmalloc.8192:2.57 user 0.07 system 1.84 elapsed 142% CPU -time.8.ptmalloc.16384:10.15 user 6.20 system 5.20 elapsed 314% CPU -time.8.tcmalloc.16384:2.40 user 0.05 system 2.42 elapsed 101% CPU -time.8.ptmalloc.32768:11.82 user 24.48 system 14.60 elapsed 248% CPU -time.8.tcmalloc.32768:4.37 user 0.05 system 4.47 elapsed 98% CPU -time.8.ptmalloc.65536:15.41 user 58.94 system 34.42 elapsed 215% CPU -time.8.tcmalloc.65536:4.90 user 0.04 system 4.96 elapsed 99% CPU -time.8.ptmalloc.131072:16.07 user 82.93 system 52.51 elapsed 188% CPU -time.8.tcmalloc.131072:7.13 user 0.04 system 7.19 elapsed 99% CPU -time.9.ptmalloc.64:8.44 user 4.59 system 6.92 elapsed 188% CPU -time.9.tcmalloc.64:4.00 user 0.02 system 1.05 elapsed 382% CPU -time.9.ptmalloc.128:10.92 user 6.14 system 8.31 elapsed 205% CPU -time.9.tcmalloc.128:3.88 user 0.02 system 1.01 elapsed 382% CPU -time.9.ptmalloc.256:13.01 user 7.75 system 9.12 elapsed 227% CPU -time.9.tcmalloc.256:3.89 user 0.01 system 1.00 elapsed 386% CPU -time.9.ptmalloc.512:14.96 user 8.89 system 9.73 elapsed 244% CPU -time.9.tcmalloc.512:3.80 user 0.03 system 1.01 elapsed 377% CPU -time.9.ptmalloc.1024:15.42 user 10.20 system 9.80 elapsed 261% CPU -time.9.tcmalloc.1024:3.86 user 0.03 system 1.19 elapsed 325% CPU -time.9.ptmalloc.2048:7.24 user 0.02 system 1.87 elapsed 388% CPU -time.9.tcmalloc.2048:3.98 user 0.05 system 1.26 elapsed 319% CPU -time.9.ptmalloc.4096:7.96 user 0.18 system 2.06 elapsed 394% CPU -time.9.tcmalloc.4096:3.27 user 0.04 system 1.69 elapsed 195% CPU -time.9.ptmalloc.8192:9.00 user 1.63 system 2.79 elapsed 380% CPU -time.9.tcmalloc.8192:3.00 user 0.06 system 2.05 elapsed 148% CPU -time.9.ptmalloc.16384:12.07 user 8.13 system 6.55 elapsed 308% CPU -time.9.tcmalloc.16384:2.85 user 0.05 system 2.75 elapsed 105% CPU -time.9.ptmalloc.32768:13.99 user 29.65 system 18.02 elapsed 242% CPU -time.9.tcmalloc.32768:4.98 user 0.06 system 5.13 elapsed 98% CPU -time.9.ptmalloc.65536:16.89 user 70.42 system 42.11 elapsed 207% CPU -time.9.tcmalloc.65536:5.55 user 0.04 system 5.65 elapsed 98% CPU -time.9.ptmalloc.131072:18.53 user 94.11 system 61.17 elapsed 184% CPU -time.9.tcmalloc.131072:8.06 user 0.04 system 8.16 elapsed 99% CPU -time.10.ptmalloc.64:9.81 user 5.70 system 7.42 elapsed 208% CPU -time.10.tcmalloc.64:4.43 user 0.03 system 1.20 elapsed 370% CPU -time.10.ptmalloc.128:12.69 user 7.81 system 9.02 elapsed 227% CPU -time.10.tcmalloc.128:4.27 user 0.02 system 1.13 elapsed 378% CPU -time.10.ptmalloc.256:15.04 user 9.53 system 9.92 elapsed 247% CPU -time.10.tcmalloc.256:4.23 user 0.02 system 1.09 elapsed 388% CPU -time.10.ptmalloc.512:17.30 user 10.46 system 10.61 elapsed 261% CPU -time.10.tcmalloc.512:4.14 user 0.05 system 1.10 elapsed 379% CPU -time.10.ptmalloc.1024:16.96 user 9.38 system 9.30 elapsed 283% CPU -time.10.tcmalloc.1024:4.27 user 0.06 system 1.18 elapsed 366% CPU -time.10.ptmalloc.2048:8.07 user 0.03 system 2.06 elapsed 393% CPU -time.10.tcmalloc.2048:4.49 user 0.07 system 1.33 elapsed 342% CPU -time.10.ptmalloc.4096:8.66 user 0.25 system 2.25 elapsed 394% CPU -time.10.tcmalloc.4096:3.61 user 0.05 system 1.78 elapsed 205% CPU -time.10.ptmalloc.8192:21.52 user 17.43 system 10.41 elapsed 374% CPU -time.10.tcmalloc.8192:3.59 user 0.10 system 2.33 elapsed 158% CPU -time.10.ptmalloc.16384:20.55 user 24.85 system 12.55 elapsed 361% CPU -time.10.tcmalloc.16384:3.29 user 0.04 system 3.22 elapsed 103% CPU -time.10.ptmalloc.32768:15.23 user 38.13 system 22.49 elapsed 237% CPU -time.10.tcmalloc.32768:5.62 user 0.05 system 5.72 elapsed 99% CPU -time.10.ptmalloc.65536:19.80 user 85.42 system 49.98 elapsed 210% CPU -time.10.tcmalloc.65536:6.23 user 0.09 system 6.36 elapsed 99% CPU -time.10.ptmalloc.131072:20.91 user 106.97 system 69.08 elapsed 185% CPU -time.10.tcmalloc.131072:8.94 user 0.09 system 9.09 elapsed 99% CPU -time.11.ptmalloc.64:10.82 user 6.34 system 7.92 elapsed 216% CPU -time.11.tcmalloc.64:4.80 user 0.03 system 1.24 elapsed 387% CPU -time.11.ptmalloc.128:14.58 user 8.61 system 9.81 elapsed 236% CPU -time.11.tcmalloc.128:4.65 user 0.03 system 1.21 elapsed 384% CPU -time.11.ptmalloc.256:17.38 user 10.98 system 10.75 elapsed 263% CPU -time.11.tcmalloc.256:4.51 user 0.03 system 1.18 elapsed 384% CPU -time.11.ptmalloc.512:19.18 user 11.71 system 10.95 elapsed 282% CPU -time.11.tcmalloc.512:4.57 user 0.02 system 1.19 elapsed 384% CPU -time.11.ptmalloc.1024:19.94 user 12.41 system 10.48 elapsed 308% CPU -time.11.tcmalloc.1024:4.71 user 0.05 system 1.29 elapsed 367% CPU -time.11.ptmalloc.2048:8.70 user 0.04 system 2.35 elapsed 371% CPU -time.11.tcmalloc.2048:4.97 user 0.07 system 1.43 elapsed 350% CPU -time.11.ptmalloc.4096:22.47 user 18.43 system 10.82 elapsed 377% CPU -time.11.tcmalloc.4096:4.22 user 0.03 system 1.91 elapsed 221% CPU -time.11.ptmalloc.8192:11.61 user 2.38 system 3.73 elapsed 374% CPU -time.11.tcmalloc.8192:3.74 user 0.09 system 2.46 elapsed 155% CPU -time.11.ptmalloc.16384:14.13 user 13.38 system 9.60 elapsed 286% CPU -time.11.tcmalloc.16384:3.61 user 0.03 system 3.63 elapsed 100% CPU -time.11.ptmalloc.32768:17.92 user 43.84 system 26.74 elapsed 230% CPU -time.11.tcmalloc.32768:6.31 user 0.03 system 6.45 elapsed 98% CPU 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elapsed 391% CPU -time.12.tcmalloc.2048:5.74 user 0.05 system 1.62 elapsed 355% CPU -time.12.ptmalloc.4096:10.64 user 0.20 system 2.75 elapsed 393% CPU -time.12.tcmalloc.4096:4.45 user 0.03 system 2.04 elapsed 218% CPU -time.12.ptmalloc.8192:12.66 user 3.30 system 4.30 elapsed 371% CPU -time.12.tcmalloc.8192:4.21 user 0.13 system 2.65 elapsed 163% CPU -time.12.ptmalloc.16384:15.73 user 15.68 system 11.14 elapsed 281% CPU -time.12.tcmalloc.16384:4.17 user 0.06 system 4.10 elapsed 102% CPU -time.12.ptmalloc.32768:19.45 user 56.00 system 32.74 elapsed 230% CPU -time.12.tcmalloc.32768:6.96 user 0.08 system 7.14 elapsed 98% CPU -time.12.ptmalloc.65536:23.33 user 110.45 system 65.06 elapsed 205% CPU -time.12.tcmalloc.65536:7.77 user 0.15 system 7.72 elapsed 102% CPU -time.12.ptmalloc.131072:24.03 user 124.74 system 82.94 elapsed 179% CPU -time.12.tcmalloc.131072:10.81 user 0.06 system 10.94 elapsed 99% CPU -time.13.ptmalloc.64:14.08 user 7.60 system 8.85 elapsed 244% CPU 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elapsed 177% CPU -time.13.ptmalloc.16384:26.35 user 34.47 system 17.01 elapsed 357% CPU -time.13.tcmalloc.16384:4.66 user 0.04 system 4.66 elapsed 100% CPU -time.13.ptmalloc.32768:21.41 user 63.59 system 38.14 elapsed 222% CPU -time.13.tcmalloc.32768:7.71 user 0.03 system 7.83 elapsed 98% CPU -time.13.ptmalloc.65536:24.99 user 120.80 system 71.59 elapsed 203% CPU -time.13.tcmalloc.65536:8.87 user 0.64 system 8.37 elapsed 113% CPU -time.13.ptmalloc.131072:25.97 user 142.27 system 96.00 elapsed 175% CPU -time.13.tcmalloc.131072:11.48 user 0.06 system 11.67 elapsed 98% CPU -time.14.ptmalloc.64:15.01 user 9.11 system 9.41 elapsed 256% CPU -time.14.tcmalloc.64:5.98 user 0.02 system 1.58 elapsed 378% CPU -time.14.ptmalloc.128:20.34 user 12.72 system 11.62 elapsed 284% CPU -time.14.tcmalloc.128:5.88 user 0.04 system 1.51 elapsed 392% CPU -time.14.ptmalloc.256:24.26 user 14.95 system 12.92 elapsed 303% CPU -time.14.tcmalloc.256:5.72 user 0.02 system 1.50 elapsed 381% CPU -time.14.ptmalloc.512:27.28 user 16.45 system 13.89 elapsed 314% CPU -time.14.tcmalloc.512:5.99 user 0.02 system 1.54 elapsed 388% CPU -time.14.ptmalloc.1024:25.84 user 16.99 system 12.61 elapsed 339% CPU -time.14.tcmalloc.1024:5.94 user 0.06 system 1.59 elapsed 375% CPU -time.14.ptmalloc.2048:11.96 user 0.01 system 3.12 elapsed 382% CPU -time.14.tcmalloc.2048:6.39 user 0.07 system 1.79 elapsed 359% CPU -time.14.ptmalloc.4096:20.19 user 11.77 system 8.26 elapsed 386% CPU -time.14.tcmalloc.4096:5.65 user 0.05 system 2.32 elapsed 244% CPU -time.14.ptmalloc.8192:22.01 user 16.39 system 9.89 elapsed 387% CPU -time.14.tcmalloc.8192:5.44 user 0.11 system 3.07 elapsed 180% CPU -time.14.ptmalloc.16384:18.15 user 22.40 system 15.02 elapsed 269% CPU -time.14.tcmalloc.16384:5.29 user 0.08 system 5.34 elapsed 100% CPU -time.14.ptmalloc.32768:24.29 user 72.07 system 42.63 elapsed 225% CPU -time.14.tcmalloc.32768:8.47 user 0.02 system 8.62 elapsed 98% CPU -time.14.ptmalloc.65536:27.63 user 130.56 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transitional//en"> -<!-- $Id: $ --> -<html> -<head> -<title>TCMalloc : Thread-Caching Malloc</title> -<link rel="stylesheet" href="designstyle.css"> -<style type="text/css"> - em { - color: red; - font-style: normal; - } -</style> -</head> -<body> - -<h1>TCMalloc : Thread-Caching Malloc</h1> - -<address>Sanjay Ghemawat</address> - -<h2><A name=motivation>Motivation</A></h2> - -<p>TCMalloc is faster than the glibc 2.3 malloc (available as a -separate library called ptmalloc2) and other mallocs that I have -tested. ptmalloc2 takes approximately 300 nanoseconds to execute a -malloc/free pair on a 2.8 GHz P4 (for small objects). The TCMalloc -implementation takes approximately 50 nanoseconds for the same -operation pair. Speed is important for a malloc implementation -because if malloc is not fast enough, application writers are inclined -to write their own custom free lists on top of malloc. This can lead -to extra complexity, and more memory usage unless the application -writer is very careful to appropriately size the free lists and -scavenge idle objects out of the free list.</p> - -<p>TCMalloc also reduces lock contention for multi-threaded programs. -For small objects, there is virtually zero contention. For large -objects, TCMalloc tries to use fine grained and efficient spinlocks. -ptmalloc2 also reduces lock contention by using per-thread arenas but -there is a big problem with ptmalloc2's use of per-thread arenas. In -ptmalloc2 memory can never move from one arena to another. This can -lead to huge amounts of wasted space. For example, in one Google -application, the first phase would allocate approximately 300MB of -memory for its URL canonicalization data structures. When the first -phase finished, a second phase would be started in the same address -space. If this second phase was assigned a different arena than the -one used by the first phase, this phase would not reuse any of the -memory left after the first phase and would add another 300MB to the -address space. Similar memory blowup problems were also noticed in -other applications.</p> - -<p>Another benefit of TCMalloc is space-efficient representation of -small objects. For example, N 8-byte objects can be allocated while -using space approximately <code>8N * 1.01</code> bytes. I.e., a -one-percent space overhead. ptmalloc2 uses a four-byte header for -each object and (I think) rounds up the size to a multiple of 8 bytes -and ends up using <code>16N</code> bytes.</p> - - -<h2><A NAME="Usage">Usage</A></h2> - -<p>To use TCMalloc, just link TCMalloc into your application via the -"-ltcmalloc" linker flag.</p> - -<p>You can use TCMalloc in applications you didn't compile yourself, -by using LD_PRELOAD:</p> -<pre> - $ LD_PRELOAD="/usr/lib/libtcmalloc.so" <binary> -</pre> -<p>LD_PRELOAD is tricky, and we don't necessarily recommend this mode -of usage.</p> - -<p>TCMalloc includes a <A HREF="heap_checker.html">heap checker</A> -and <A HREF="heapprofile.html">heap profiler</A> as well.</p> - -<p>If you'd rather link in a version of TCMalloc that does not include -the heap profiler and checker (perhaps to reduce binary size for a -static binary), you can link in <code>libtcmalloc_minimal</code> -instead.</p> - - -<h2><A NAME="Overview">Overview</A></h2> - -<p>TCMalloc assigns each thread a thread-local cache. Small -allocations are satisfied from the thread-local cache. Objects are -moved from central data structures into a thread-local cache as -needed, and periodic garbage collections are used to migrate memory -back from a thread-local cache into the central data structures.</p> -<center><img src="overview.gif"></center> - -<p>TCMalloc treats objects with size <= 256K ("small" objects) -differently from larger objects. Large objects are allocated directly -from the central heap using a page-level allocator (a page is a 8K -aligned region of memory). I.e., a large object is always -page-aligned and occupies an integral number of pages.</p> - -<p>A run of pages can be carved up into a sequence of small objects, -each equally sized. For example a run of one page (4K) can be carved -up into 32 objects of size 128 bytes each.</p> - - -<h2><A NAME="Small_Object_Allocation">Small Object Allocation</A></h2> - -<p>Each small object size maps to one of approximately 88 allocatable -size-classes. For example, all allocations in the range 961 to 1024 -bytes are rounded up to 1024. The size-classes are spaced so that -small sizes are separated by 8 bytes, larger sizes by 16 bytes, even -larger sizes by 32 bytes, and so forth. The maximal spacing is -controlled so that not too much space is wasted when an allocation -request falls just past the end of a size class and has to be rounded -up to the next class.</p> - -<p>A thread cache contains a singly linked list of free objects per -size-class.</p> -<center><img src="threadheap.gif"></center> - -<p>When allocating a small object: (1) We map its size to the -corresponding size-class. (2) Look in the corresponding free list in -the thread cache for the current thread. (3) If the free list is not -empty, we remove the first object from the list and return it. When -following this fast path, TCMalloc acquires no locks at all. This -helps speed-up allocation significantly because a lock/unlock pair -takes approximately 100 nanoseconds on a 2.8 GHz Xeon.</p> - -<p>If the free list is empty: (1) We fetch a bunch of objects from a -central free list for this size-class (the central free list is shared -by all threads). (2) Place them in the thread-local free list. (3) -Return one of the newly fetched objects to the applications.</p> - -<p>If the central free list is also empty: (1) We allocate a run of -pages from the central page allocator. (2) Split the run into a set -of objects of this size-class. (3) Place the new objects on the -central free list. (4) As before, move some of these objects to the -thread-local free list.</p> - -<h3><A NAME="Sizing_Thread_Cache_Free_Lists"> - Sizing Thread Cache Free Lists</A></h3> - -<p>It is important to size the thread cache free lists correctly. If -the free list is too small, we'll need to go to the central free list -too often. If the free list is too big, we'll waste memory as objects -sit idle in the free list.</p> - -<p>Note that the thread caches are just as important for deallocation -as they are for allocation. Without a cache, each deallocation would -require moving the memory to the central free list. Also, some threads -have asymmetric alloc/free behavior (e.g. producer and consumer threads), -so sizing the free list correctly gets trickier.</p> - -<p>To size the free lists appropriately, we use a slow-start algorithm -to determine the maximum length of each individual free list. As the -free list is used more frequently, its maximum length grows. However, -if a free list is used more for deallocation than allocation, its -maximum length will grow only up to a point where the whole list can -be efficiently moved to the central free list at once.</p> - -<p>The psuedo-code below illustrates this slow-start algorithm. Note -that <code>num_objects_to_move</code> is specific to each size class. -By moving a list of objects with a well-known length, the central -cache can efficiently pass these lists between thread caches. If -a thread cache wants fewer than <code>num_objects_to_move</code>, -the operation on the central free list has linear time complexity. -The downside of always using <code>num_objects_to_move</code> as -the number of objects to transfer to and from the central cache is -that it wastes memory in threads that don't need all of those objects. - -<pre> -Start each freelist max_length at 1. - -Allocation - if freelist empty { - fetch min(max_length, num_objects_to_move) from central list; - if max_length < num_objects_to_move { // slow-start - max_length++; - } else { - max_length += num_objects_to_move; - } - } - -Deallocation - if length > max_length { - // Don't try to release num_objects_to_move if we don't have that many. - release min(max_length, num_objects_to_move) objects to central list - if max_length < num_objects_to_move { - // Slow-start up to num_objects_to_move. - max_length++; - } else if max_length > num_objects_to_move { - // If we consistently go over max_length, shrink max_length. - overages++; - if overages > kMaxOverages { - max_length -= num_objects_to_move; - overages = 0; - } - } - } -</pre> - -See also the section on <a href="#Garbage_Collection">Garbage Collection</a> -to see how it affects the <code>max_length</code>. - -<h2><A NAME="Medium_Object_Allocation">Medium Object Allocation</A></h2> - -<p>A medium object size (256K ≤ size ≤ 1MB) is rounded up to a page -size (8K) and is handled by a central page heap. The central page heap -includes an array of 128 free lists. The <code>k</code>th entry is a -free list of runs that consist of <code>k + 1</code> pages:</p> -<center><img src="pageheap.gif"></center> - -<p>An allocation for <code>k</code> pages is satisfied by looking in -the <code>k</code>th free list. If that free list is empty, we look -in the next free list, and so forth. If no medium-object free list -can satisfy the allocation, the allocation is treated as a large object. - - -<h2><A NAME="Large_Object_Allocation">Large Object Allocation</A></h2> - -Allocations of 1MB or more are considered large allocations. Spans -of free memory which can satisfy these allocations are tracked in -a red-black tree sorted by size. Allocations follow the <em>best-fit</em> -algorithm: the tree is searched to find the smallest span of free -space which is larger than the requested allocation. The allocation -is carved out of that span, and the remaining space is reinserted -either into the large object tree or possibly into one of the smaller -free-lists as appropriate. - -If no span of free memory is located that can fit the requested -allocation, we fetch memory from the system (using <code>sbrk</code>, -<code>mmap</code>, or by mapping in portions of -<code>/dev/mem</code>).</p> - -<p>If an allocation for <code>k</code> pages is satisfied by a run -of pages of length > <code>k</code>, the remainder of the -run is re-inserted back into the appropriate free list in the -page heap.</p> - - -<h2><A NAME="Spans">Spans</A></h2> - -<p>The heap managed by TCMalloc consists of a set of pages. A run of -contiguous pages is represented by a <code>Span</code> object. A span -can either be <em>allocated</em>, or <em>free</em>. If free, the span -is one of the entries in a page heap linked-list. If allocated, it is -either a large object that has been handed off to the application, or -a run of pages that have been split up into a sequence of small -objects. If split into small objects, the size-class of the objects -is recorded in the span.</p> - -<p>A central array indexed by page number can be used to find the span to -which a page belongs. For example, span <em>a</em> below occupies 2 -pages, span <em>b</em> occupies 1 page, span <em>c</em> occupies 5 -pages and span <em>d</em> occupies 3 pages.</p> -<center><img src="spanmap.gif"></center> - -<p>In a 32-bit address space, the central array is represented by a a -2-level radix tree where the root contains 32 entries and each leaf -contains 2^14 entries (a 32-bit address space has 2^19 8K pages, and -the first level of tree divides the 2^19 pages by 2^5). This leads to -a starting memory usage of 64KB of space (2^14*4 bytes) for the -central array, which seems acceptable.</p> - -<p>On 64-bit machines, we use a 3-level radix tree.</p> - - -<h2><A NAME="Deallocation">Deallocation</A></h2> - -<p>When an object is deallocated, we compute its page number and look -it up in the central array to find the corresponding span object. The -span tells us whether or not the object is small, and its size-class -if it is small. If the object is small, we insert it into the -appropriate free list in the current thread's thread cache. If the -thread cache now exceeds a predetermined size (2MB by default), we run -a garbage collector that moves unused objects from the thread cache -into central free lists.</p> - -<p>If the object is large, the span tells us the range of pages covered -by the object. Suppose this range is <code>[p,q]</code>. We also -lookup the spans for pages <code>p-1</code> and <code>q+1</code>. If -either of these neighboring spans are free, we coalesce them with the -<code>[p,q]</code> span. The resulting span is inserted into the -appropriate free list in the page heap.</p> - - -<h2>Central Free Lists for Small Objects</h2> - -<p>As mentioned before, we keep a central free list for each -size-class. Each central free list is organized as a two-level data -structure: a set of spans, and a linked list of free objects per -span.</p> - -<p>An object is allocated from a central free list by removing the -first entry from the linked list of some span. (If all spans have -empty linked lists, a suitably sized span is first allocated from the -central page heap.)</p> - -<p>An object is returned to a central free list by adding it to the -linked list of its containing span. If the linked list length now -equals the total number of small objects in the span, this span is now -completely free and is returned to the page heap.</p> - - -<h2><A NAME="Garbage_Collection">Garbage Collection of Thread Caches</A></h2> - -<p>Garbage collecting objects from a thread cache keeps the size of -the cache under control and returns unused objects to the central free -lists. Some threads need large caches to perform well while others -can get by with little or no cache at all. When a thread cache goes -over its <code>max_size</code>, garbage collection kicks in and then the -thread competes with the other threads for a larger cache.</p> - -<p>Garbage collection is run only during a deallocation. We walk over -all free lists in the cache and move some number of objects from the -free list to the corresponding central list.</p> - -<p>The number of objects to be moved from a free list is determined -using a per-list low-water-mark <code>L</code>. <code>L</code> -records the minimum length of the list since the last garbage -collection. Note that we could have shortened the list by -<code>L</code> objects at the last garbage collection without -requiring any extra accesses to the central list. We use this past -history as a predictor of future accesses and move <code>L/2</code> -objects from the thread cache free list to the corresponding central -free list. This algorithm has the nice property that if a thread -stops using a particular size, all objects of that size will quickly -move from the thread cache to the central free list where they can be -used by other threads.</p> - -<p>If a thread consistently deallocates more objects of a certain size -than it allocates, this <code>L/2</code> behavior will cause at least -<code>L/2</code> objects to always sit in the free list. To avoid -wasting memory this way, we shrink the maximum length of the freelist -to converge on <code>num_objects_to_move</code> (see also -<a href="#Sizing_Thread_Cache_Free_Lists">Sizing Thread Cache Free Lists</a>). - -<pre> -Garbage Collection - if (L != 0 && max_length > num_objects_to_move) { - max_length = max(max_length - num_objects_to_move, num_objects_to_move) - } -</pre> - -<p>The fact that the thread cache went over its <code>max_size</code> is -an indication that the thread would benefit from a larger cache. Simply -increasing <code>max_size</code> would use an inordinate amount of memory -in programs that have lots of active threads. Developers can bound the -memory used with the flag --tcmalloc_max_total_thread_cache_bytes.</p> - -<p>Each thread cache starts with a small <code>max_size</code> -(e.g. 64KB) so that idle threads won't pre-allocate memory they don't -need. Each time the cache runs a garbage collection, it will also try -to grow its <code>max_size</code>. If the sum of the thread cache -sizes is less than --tcmalloc_max_total_thread_cache_bytes, -<code>max_size</code> grows easily. If not, thread cache 1 will try -to steal from thread cache 2 (picked round-robin) by decreasing thread -cache 2's <code>max_size</code>. In this way, threads that are more -active will steal memory from other threads more often than they are -have memory stolen from themselves. Mostly idle threads end up with -small caches and active threads end up with big caches. Note that -this stealing can cause the sum of the thread cache sizes to be -greater than --tcmalloc_max_total_thread_cache_bytes until thread -cache 2 deallocates some memory to trigger a garbage collection.</p> - -<h2><A NAME="performance">Performance Notes</A></h2> - -<h3>PTMalloc2 unittest</h3> - -<p>The PTMalloc2 package (now part of glibc) contains a unittest -program <code>t-test1.c</code>. This forks a number of threads and -performs a series of allocations and deallocations in each thread; the -threads do not communicate other than by synchronization in the memory -allocator.</p> - -<p><code>t-test1</code> (included in -<code>tests/tcmalloc/</code>, and compiled as -<code>ptmalloc_unittest1</code>) was run with a varying numbers of -threads (1-20) and maximum allocation sizes (64 bytes - -32Kbytes). These tests were run on a 2.4GHz dual Xeon system with -hyper-threading enabled, using Linux glibc-2.3.2 from RedHat 9, with -one million operations per thread in each test. In each case, the test -was run once normally, and once with -<code>LD_PRELOAD=libtcmalloc.so</code>. - -<p>The graphs below show the performance of TCMalloc vs PTMalloc2 for -several different metrics. Firstly, total operations (millions) per -elapsed second vs max allocation size, for varying numbers of -threads. The raw data used to generate these graphs (the output of the -<code>time</code> utility) is available in -<code>t-test1.times.txt</code>.</p> - -<table> -<tr> - <td><img src="tcmalloc-opspersec.vs.size.1.threads.png"></td> - <td><img src="tcmalloc-opspersec.vs.size.2.threads.png"></td> - <td><img src="tcmalloc-opspersec.vs.size.3.threads.png"></td> -</tr> -<tr> - <td><img src="tcmalloc-opspersec.vs.size.4.threads.png"></td> - <td><img src="tcmalloc-opspersec.vs.size.5.threads.png"></td> - <td><img src="tcmalloc-opspersec.vs.size.8.threads.png"></td> -</tr> -<tr> - <td><img src="tcmalloc-opspersec.vs.size.12.threads.png"></td> - <td><img src="tcmalloc-opspersec.vs.size.16.threads.png"></td> - <td><img src="tcmalloc-opspersec.vs.size.20.threads.png"></td> -</tr> -</table> - - -<ul> - <li> TCMalloc is much more consistently scalable than PTMalloc2 - for - all thread counts >1 it achieves ~7-9 million ops/sec for small - allocations, falling to ~2 million ops/sec for larger - allocations. The single-thread case is an obvious outlier, - since it is only able to keep a single processor busy and hence - can achieve fewer ops/sec. PTMalloc2 has a much higher variance - on operations/sec - peaking somewhere around 4 million ops/sec - for small allocations and falling to <1 million ops/sec for - larger allocations. - - <li> TCMalloc is faster than PTMalloc2 in the vast majority of - cases, and particularly for small allocations. Contention - between threads is less of a problem in TCMalloc. - - <li> TCMalloc's performance drops off as the allocation size - increases. This is because the per-thread cache is - garbage-collected when it hits a threshold (defaulting to - 2MB). With larger allocation sizes, fewer objects can be stored - in the cache before it is garbage-collected. - - <li> There is a noticeable drop in TCMalloc's performance at ~32K - maximum allocation size; at larger sizes performance drops less - quickly. This is due to the 32K maximum size of objects in the - per-thread caches; for objects larger than this TCMalloc - allocates from the central page heap. -</ul> - -<p>Next, operations (millions) per second of CPU time vs number of -threads, for max allocation size 64 bytes - 128 Kbytes.</p> - -<table> -<tr> - <td><img src="tcmalloc-opspercpusec.vs.threads.64.bytes.png"></td> - <td><img src="tcmalloc-opspercpusec.vs.threads.256.bytes.png"></td> - <td><img src="tcmalloc-opspercpusec.vs.threads.1024.bytes.png"></td> -</tr> -<tr> - <td><img src="tcmalloc-opspercpusec.vs.threads.4096.bytes.png"></td> - <td><img src="tcmalloc-opspercpusec.vs.threads.8192.bytes.png"></td> - <td><img src="tcmalloc-opspercpusec.vs.threads.16384.bytes.png"></td> -</tr> -<tr> - <td><img src="tcmalloc-opspercpusec.vs.threads.32768.bytes.png"></td> - <td><img src="tcmalloc-opspercpusec.vs.threads.65536.bytes.png"></td> - <td><img src="tcmalloc-opspercpusec.vs.threads.131072.bytes.png"></td> -</tr> -</table> - -<p>Here we see again that TCMalloc is both more consistent and more -efficient than PTMalloc2. For max allocation sizes <32K, TCMalloc -typically achieves ~2-2.5 million ops per second of CPU time with a -large number of threads, whereas PTMalloc achieves generally 0.5-1 -million ops per second of CPU time, with a lot of cases achieving much -less than this figure. Above 32K max allocation size, TCMalloc drops -to 1-1.5 million ops per second of CPU time, and PTMalloc drops almost -to zero for large numbers of threads (i.e. with PTMalloc, lots of CPU -time is being burned spinning waiting for locks in the heavily -multi-threaded case).</p> - - -<H2><A NAME="runtime">Modifying Runtime Behavior</A></H2> - -<p>You can more finely control the behavior of the tcmalloc via -environment variables.</p> - -<p>Generally useful flags:</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>TCMALLOC_SAMPLE_PARAMETER</code></td> - <td>default: 0</td> - <td> - The approximate gap between sampling actions. That is, we - take one sample approximately once every - <code>tcmalloc_sample_parmeter</code> bytes of allocation. - This sampled heap information is available via - <code>MallocExtension::GetHeapSample()</code> or - <code>MallocExtension::ReadStackTraces()</code>. A reasonable - value is 524288. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_RELEASE_RATE</code></td> - <td>default: 1.0</td> - <td> - Rate at which we release unused memory to the system, via - <code>madvise(MADV_DONTNEED)</code>, on systems that support - it. Zero means we never release memory back to the system. - Increase this flag to return memory faster; decrease it - to return memory slower. Reasonable rates are in the - range [0,10]. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD</code></td> - <td>default: 1073741824</td> - <td> - Allocations larger than this value cause a stack trace to be - dumped to stderr. The threshold for dumping stack traces is - increased by a factor of 1.125 every time we print a message so - that the threshold automatically goes up by a factor of ~1000 - every 60 messages. This bounds the amount of extra logging - generated by this flag. Default value of this flag is very large - and therefore you should see no extra logging unless the flag is - overridden. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_MAX_TOTAL_THREAD_CACHE_BYTES</code></td> - <td>default: 16777216</td> - <td> - Bound on the total amount of bytes allocated to thread caches. This - bound is not strict, so it is possible for the cache to go over this - bound in certain circumstances. This value defaults to 16MB. For - applications with many threads, this may not be a large enough cache, - which can affect performance. If you suspect your application is not - scaling to many threads due to lock contention in TCMalloc, you can - try increasing this value. This may improve performance, at a cost - of extra memory use by TCMalloc. See <a href="#Garbage_Collection"> - Garbage Collection</a> for more details. - </td> -</tr> - -</table> - -<p>Advanced "tweaking" flags, that control more precisely how tcmalloc -tries to allocate memory from the kernel.</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>TCMALLOC_SKIP_MMAP</code></td> - <td>default: false</td> - <td> - If true, do not try to use <code>mmap</code> to obtain memory - from the kernel. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_SKIP_SBRK</code></td> - <td>default: false</td> - <td> - If true, do not try to use <code>sbrk</code> to obtain memory - from the kernel. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_DEVMEM_START</code></td> - <td>default: 0</td> - <td> - Physical memory starting location in MB for <code>/dev/mem</code> - allocation. Setting this to 0 disables <code>/dev/mem</code> - allocation. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_DEVMEM_LIMIT</code></td> - <td>default: 0</td> - <td> - Physical memory limit location in MB for <code>/dev/mem</code> - allocation. Setting this to 0 means no limit. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_DEVMEM_DEVICE</code></td> - <td>default: /dev/mem</td> - <td> - Device to use for allocating unmanaged memory. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_MEMFS_MALLOC_PATH</code></td> - <td>default: ""</td> - <td> - If set, specify a path where hugetlbfs or tmpfs is mounted. - This may allow for speedier allocations. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_MEMFS_LIMIT_MB</code></td> - <td>default: 0</td> - <td> - Limit total memfs allocation size to specified number of MB. - 0 means "no limit". - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_MEMFS_ABORT_ON_FAIL</code></td> - <td>default: false</td> - <td> - If true, abort() whenever memfs_malloc fails to satisfy an allocation. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_MEMFS_IGNORE_MMAP_FAIL</code></td> - <td>default: false</td> - <td> - If true, ignore failures from mmap. - </td> -</tr> - -<tr valign=top> - <td><code>TCMALLOC_MEMFS_MAP_PRIVATE</code></td> - <td>default: false</td> - <td> - If true, use MAP_PRIVATE when mapping via memfs, not MAP_SHARED. - </td> -</tr> - -</table> - - -<H2><A NAME="compiletime">Modifying Behavior In Code</A></H2> - -<p>The <code>MallocExtension</code> class, in -<code>malloc_extension.h</code>, provides a few knobs that you can -tweak in your program, to affect tcmalloc's behavior.</p> - -<h3>Releasing Memory Back to the System</h3> - -<p>By default, tcmalloc will release no-longer-used memory back to the -kernel gradually, over time. The <a -href="#runtime">tcmalloc_release_rate</a> flag controls how quickly -this happens. You can also force a release at a given point in the -progam execution like so:</p> -<pre> - MallocExtension::instance()->ReleaseFreeMemory(); -</pre> - -<p>You can also call <code>SetMemoryReleaseRate()</code> to change the -<code>tcmalloc_release_rate</code> value at runtime, or -<code>GetMemoryReleaseRate</code> to see what the current release rate -is.</p> - -<h3>Memory Introspection</h3> - -<p>There are several routines for getting a human-readable form of the -current memory usage:</p> -<pre> - MallocExtension::instance()->GetStats(buffer, buffer_length); - MallocExtension::instance()->GetHeapSample(&string); - MallocExtension::instance()->GetHeapGrowthStacks(&string); -</pre> - -<p>The last two create files in the same format as the heap-profiler, -and can be passed as data files to pprof. The first is human-readable -and is meant for debugging.</p> - -<h3>Generic Tcmalloc Status</h3> - -<p>TCMalloc has support for setting and retrieving arbitrary -'properties':</p> -<pre> - MallocExtension::instance()->SetNumericProperty(property_name, value); - MallocExtension::instance()->GetNumericProperty(property_name, &value); -</pre> - -<p>It is possible for an application to set and get these properties, -but the most useful is when a library sets the properties so the -application can read them. Here are the properties TCMalloc defines; -you can access them with a call like -<code>MallocExtension::instance()->GetNumericProperty("generic.heap_size", -&value);</code>:</p> - -<table frame=box rules=sides cellpadding=5 width=100%> - -<tr valign=top> - <td><code>generic.current_allocated_bytes</code></td> - <td> - Number of bytes used by the application. This will not typically - match the memory use reported by the OS, because it does not - include TCMalloc overhead or memory fragmentation. - </td> -</tr> - -<tr valign=top> - <td><code>generic.heap_size</code></td> - <td> - Bytes of system memory reserved by TCMalloc. - </td> -</tr> - -<tr valign=top> - <td><code>tcmalloc.pageheap_free_bytes</code></td> - <td> - Number of bytes in free, mapped pages in page heap. These bytes - can be used to fulfill allocation requests. They always count - towards virtual memory usage, and unless the underlying memory is - swapped out by the OS, they also count towards physical memory - usage. - </td> -</tr> - -<tr valign=top> - <td><code>tcmalloc.pageheap_unmapped_bytes</code></td> - <td> - Number of bytes in free, unmapped pages in page heap. These are - bytes that have been released back to the OS, possibly by one of - the MallocExtension "Release" calls. They can be used to fulfill - allocation requests, but typically incur a page fault. They - always count towards virtual memory usage, and depending on the - OS, typically do not count towards physical memory usage. - </td> -</tr> - -<tr valign=top> - <td><code>tcmalloc.slack_bytes</code></td> - <td> - Sum of pageheap_free_bytes and pageheap_unmapped_bytes. Provided - for backwards compatibility only. Do not use. - </td> -</tr> - -<tr valign=top> - <td><code>tcmalloc.max_total_thread_cache_bytes</code></td> - <td> - A limit to how much memory TCMalloc dedicates for small objects. - Higher numbers trade off more memory use for -- in some situations - -- improved efficiency. - </td> -</tr> - -<tr valign=top> - <td><code>tcmalloc.current_total_thread_cache_bytes</code></td> - <td> - A measure of some of the memory TCMalloc is using (for - small objects). - </td> -</tr> - -</table> - -<h2><A NAME="caveats">Caveats</A></h2> - -<p>For some systems, TCMalloc may not work correctly with -applications that aren't linked against <code>libpthread.so</code> (or -the equivalent on your OS). It should work on Linux using glibc 2.3, -but other OS/libc combinations have not been tested.</p> - -<p>TCMalloc may be somewhat more memory hungry than other mallocs, -(but tends not to have the huge blowups that can happen with other -mallocs). In particular, at startup TCMalloc allocates approximately -240KB of internal memory.</p> - -<p>Don't try to load TCMalloc into a running binary (e.g., using JNI -in Java programs). The binary will have allocated some objects using -the system malloc, and may try to pass them to TCMalloc for -deallocation. TCMalloc will not be able to handle such objects.</p> - -<hr> - -<address>Sanjay Ghemawat, Paul Menage<br> -<!-- Created: Tue Dec 19 10:43:14 PST 2000 --> -<!-- hhmts start --> -Last modified: Sat Feb 24 13:11:38 PST 2007 (csilvers) -<!-- hhmts end --> -</address> - -</body> -</html> diff --git a/src/third_party/gperftools-2.7/docs/threadheap.dot b/src/third_party/gperftools-2.7/docs/threadheap.dot deleted file mode 100644 index b2dba72038d..00000000000 --- a/src/third_party/gperftools-2.7/docs/threadheap.dot +++ /dev/null @@ -1,21 +0,0 @@ -digraph ThreadHeap { -rankdir=LR -node [shape=box, width=0.3, height=0.3] -nodesep=.05 - -heap [shape=record, height=2, label="<f0>class 0|<f1>class 1|<f2>class 2|..."] -O0 [label=""] -O1 [label=""] -O2 [label=""] -O3 [label=""] -O4 [label=""] -O5 [label=""] -sep1 [shape=plaintext, label="..."] -sep2 [shape=plaintext, label="..."] -sep3 [shape=plaintext, label="..."] - -heap:f0 -> O0 -> O1 -> sep1 -heap:f1 -> O2 -> O3 -> sep2 -heap:f2 -> O4 -> O5 -> sep3 - -} diff --git a/src/third_party/gperftools-2.7/docs/threadheap.gif b/src/third_party/gperftools-2.7/docs/threadheap.gif Binary files differdeleted file mode 100644 index c43d0a31018..00000000000 --- a/src/third_party/gperftools-2.7/docs/threadheap.gif +++ /dev/null |