profiling php - amsterdamphp meetup - 2014-11-20

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PROFILING PHP A DIVE INTO YOUR APPLICATION / Dennis de Greef @dennisdegreef AmsterdamPHP

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Page 1: Profiling PHP - AmsterdamPHP Meetup - 2014-11-20

PROFILING PHPA DIVE INTO YOUR APPLICATION

/ Dennis de Greef @dennisdegreef

AmsterdamPHP

Page 2: Profiling PHP - AmsterdamPHP Meetup - 2014-11-20

WHAT IS PROFILING?

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DEFINITIONprofiling is a form of dynamic program analysis that measures, for

example, the space (memory) or time complexity of a program,the usage of particular instructions, or the frequency and

duration of function calls. Most commonly, profiling informationserves to aid program optimization.

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DYNAMIC PROGRAM ANALYSIS?

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YEAH...LETS FIRST LOOK AT IT'S COUNTERPART...

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STATIC ANALYSIS

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DEFINITIONStatic program analysis is the analysis of computer software that

is performed without actually executing programs

The term is usually applied to the analysis performed by anautomated tool, with human analysis being called programunderstanding, program comprehension or code review.

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STATIC ANALYSIS TOOLSThere are a set of tools which perform static code analysis.

These tools can be integrated within an automated build.

PHP Mess DetectorPHP Copy/Paste DetectorPHP CodeSnifferPHP Dead Code Detector

There is a nice page containing a predefined set of tools for abuild to be found at Jenkins PHP

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BUT...

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THESE TOOLS ONLY ANALYSE HOW YOURCODE IS STRUCTURED, NOT HOW IT BEHAVES.

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DYNAMIC ANALYSIS

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DEFINITIONThe analysis of computer software that is performed by

executing programs on a real or virtual processor.

For dynamic program analysis to be effective, the target program must be executed with sufficient test inputs

to produce interesting behavior.

Use of software testing measures such as code coverage helpsensure that an adequate slice of the program's set of possible

behaviors has been observed.

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CALLSTACKA callstack is the order in which statements are exectuted.

A common callstack, is an Exception trace. This trace shows allthe statements executed before an exception is thrown.

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CALLGRAPHA callgraph is a visual representation of a callstack.

In large applications this graph can give you better insight on howan application is wired.

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PROFILING DATAUsually, the data gathered with a profiler can be represented in

stacks or graphs.They can include information regarding memory- and cpu-usage.

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WHY?

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REASONSDebugging CPU performanceDebugging memory performanceDebugging IO performanceSee what function is called how muchGain insight of the black box that is the application

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REASONSWe live in a digital age where we want everything instantly.According to a , 51 percent of onlineshoppers in the U.S claimed if a site is too slow they will notcomplete a purchase.Nowadays, search engine indexing also accounts for page load.

case study from Radware

The psychology of web performanceSEO 101: How important is site speed in 2014?

Case study from Radware

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WARNING!

Premature optimization is the root of all evil-- Donald Knuth

Only perform optimization when there is a need to.

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CAUSE OF ISSUES

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COMMON ISSUESNetwork slowdownDatastore slowdownExternal resources (API, Filesystems, Network sockets, etc)Bad code(tm)

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ACTIVE VS PASSIVE

Profiling PHP Part 1 (Davey Shafik)

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ACTIVE PROFILERUsed during developmentGather more information than passive profilersPerformance impact is biggerShould _NOT_ be used in productionExample: Xdebug

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PASSIVE PROFILERMinimal impact on performanceGathers less but sufficient information to diagnose issueExamples: , , XHProf New Relic Blackfire.io

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XDEBUG

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XDEBUGGenerates files (like Valgrind for C)Can be analysed by KCacheGrind among othersCachegrind files are relatively big in sizeAlso a developer tool for breakpoints and remote debuggingActive profiler

cachegrind

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ENABLE XDEBUG PROFILING# php.ini settingsxdebug.profiler_enable=1xdebug.profiler_output_dir=/path/to/store/snapshotsxdebug.profiler_enable_trigger=1

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XDEBUG WITH KCACHEGRIND

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XDEBUG IN PHPSTORM

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XDEBUG IN PHPSTORM

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XDEBUG IN PHPSTORM

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XDEBUG IN PHPSTORM

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XHPROF

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XHPROFDeveloped by Facebook and released as open-source in 2009PECL extensionLightweight on profiling dataLightweight on profiling performance hitPassive profilerIncludes webgui for reviewing and comparing profiling data

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# Linux (using apt or yum)apt-get install -y php5-xhprof

# OSX (using homebrew)brew install php56-xhprof

# For Windows, use PECL or download a .dll somewhere, or compile for your own

/!\ NOTE: Don't forget to restart if running through a webserver /!\

INSTALLATION

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WORDPRESS EXAMPLE// index.php

xhprof_enable(XHPROF_FLAGS_CPU + XHPROF_FLAGS_MEMORY);

/** Loads the WordPress Environment and Template */require( dirname( __FILE__ ) . '/wp-blog-header.php' );

$xhprof_data = xhprof_disable();

include_once 'xhprof_lib/utils/xhprof_lib.php';include_once 'xhprof_lib/utils/xhprof_runs.php';

$xhprof_runs = new XHProfRuns_Default();

$run_id = $xhprof_runs->save_run($xhprof_data, "xhprof_foo");

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CALLSTACK

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CALLGRAPH

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CALLGRAPH

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CALLGRAPH

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XHGUIWeb frontend for profile dataRequires MongoDBShows callstacksShows callgraphsCan compare different runs

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XHGUI

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XHGUI

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XHGUI COMPARE

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XHGUI COMPARE

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XHGUI COMPARE DIFFERENCE

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XHGUI CALLSTACK

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LINK0

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LINK0/PROFILERFocused on XHProfHas multiple persistence layers for storing profiles

MemoryFlysystemZend\Db\AdapterMongoDB (work in progress)

Available on composer/packagistFully Object-orientated100% code coveragehttp://github.com/link0/profiler

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GETTING STARTEDBootstrapping the profiler

$profiler = new \Link0\Profiler\Profiler();$profiler->start();print_r($profiler->stop());

Adding a PersistenceHandler

profiler = new \Link0\Profiler\Profiler($persistenceHandler = new \Link0\Profiler\PersistenceHandler\MemoryHandler();$ $persistenceHandler);

Flysystem example

filesystem = new \Link0\Profiler\Filesystem(persistenceHandler = new \Link0\Profiler\PersistenceHandler\FilesystemHandler(profiler = new \Link0\Profiler\Profiler(

$filesystemAdapter = new \League\Flysystem\Adapter\Local('/tmp/profiler');$ $filesystemAdapter);$$ $persistenceHandler);

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FUTURE?*EXCITING SOUNDS*

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SOME IDEASEnable on production with samplingAggregate all profiles to centralized machine/clusterIntegrate into continuous deployment

Run profiling on acceptance environmentAlert when compared differences surpass threshold

Codeception integrationFind business use-cases that are slowMake a case for refactoring to the businessFocus on the customers emulated experience

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ANY QUESTIONS?

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I <3 FEEDBACKJoind.in: GitHub: Twitter: IRC: link0 on Freenode

https://joind.in/12802http://github.com/dennisdegreef@dennisdegreef

#amsterdamphp

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