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Articles taggués ‘performance’

Increase upload size in your php.ini

25/01/2024 Comments off

note: increasing PHP upload size is different from increasing PHP memory limit. You can learn to increase memory limit here.

Drupal’s limits on upload file size are determined by your server’s PHP settings (as well as Drupal specified settings that can be set at Admin > Site Configuration > File Upload). The default values for PHP will restrict you to a maximum 2 MB upload file size.

On the settings page for the upload module, Drupal calculates and displays the maximum file size that you can set based upon two PHP settings: ‘post_max_size’ and ‘upload_max_filesize’. Since ‘post_max_size’ is the limit for all the content of your post, many people choose ‘post_max_size’ to be a multiple of ‘upload_max_filesize’ to allow multiple files to be uploaded, but this is not essential. The upload module limits the size of a single attachment to be less than either post_max_size, or upload_max_filesize, whichever is smaller. The default PHP values are 2 MB for upload_max_filesize, and 8 MB for post_max_size.
Lire la suite…

Categories: Logiciel Tags: , ,

Thumbnail Generation PHP Memory Limit NextGEN Gallery

04/01/2024 Comments off

Source: Visser Labs Blog

When uploading a set of admittedly large images using NextGEN Gallery to my WordPress site I exceeded my web hosts default memory usage allocation for PHP applications. The error was:

Follow thumbnails could not created. sample.jpg (Error : Exceed Memory limit. Require : 80.65 MByte)

This issue can be resolved by increasing the memory usage allocation at a per-plugin level for PHP applications that require more grunt than others. It’s quick and easy!

  1. Open an FTP connection to your root WordPress directory
  2. Open /wp-content/plugins/nextgen-gallery/lib/gd.thumbnail.inc.php with your favourite text editor (e.g. UltraEdit, etc.)
  3. On line #168 un-comment (remove the //) from before @ini_set('memory_limit', '128M');
  4. Save and upload changes
  5. Delete image/s that failed to generate a thumbnail and re-upload using NextGEN Gallery’s standard Upload Images feature

If you find 128MB is too ‘conservative’ this can be increased again to any figure of your liking, I find 128MB appropriate for most commercial and personal usage but if you’re a HD photographer then you’re going to hit this limit very quickly… that’s it!

 

Categories: Logiciel Tags: , ,

How To Use Apache JMeter To Perform Load Testing on a Web Server

30/12/2023 Comments off

Introduction

In this tutorial, we will go over how to use Apache JMeter to perform basic load and stress testing on your web application environment. We will show you how to use the graphical user interface to build a test plan and to run tests against a web server.

JMeter is an open source desktop Java application that is designed to load test and measure performance. It can be used to simulate loads of various scenarios and output performance data in several ways, including CSV and XML files, and graphs. Because it is 100% Java, it is available on every OS that supports Java 6 or later.

 

Prerequisites

In order to follow this tutorial, you will need to have a computer that you can run JMeter on, and a web server to load test against. Do not run these tests against your production servers unless you know they can handle the load, or you may negatively impact your server’s performance.

You may adapt the tests in this tutorial to any of your own web applications. The web server that we are testing against as an example is a 1 CPU / 512 MB VPS running WordPress on a LEMP Stack, in the NYC2 DigitalOcean Datacenter. The JMeter computer is running in the DigitalOcean office in NYC (which is related to the latency of our tests).

Please note that the JMeter test results can be skewed by a variety of factors, including the system resources (CPU and RAM) available to JMeter and the network between JMeter and the web server being tested. The size of the load that JMeter can generate without skewing the results can be increased by running the tests in the non-graphical mode or by distributing the load generation to multiple JMeter servers.  Lire la suite…

How to Optimize MySQL Performance Using MySQLTuner

30/12/2023 Comments off

Running MySQL at optimal settings for specific resources helps handle larger server loads and prevents server slowdown. Generally, after tuning Apache to handle larger loads, it is beneficial to tune MySQL to additional connections.

MySQL tuning title graphic

Database tuning is an expansive topic, and this guide covers only the basics of editing your MySQL configuration. Large MySQL databases can require a considerable amount of memory. For this reason, we recommend using a high memory Linode for such setups.

The steps in this guide require root privileges. Be sure to run the steps below as root or with the sudo prefix. For more information on privileges see our Users and Groups guide.

Tools That Can Help Optimize MySQL

In order to determine if your MySQL database needs to be reconfigured, it is best to look at how your resources are performing now. This can be done with the top command or with the Linode Longview service. At the very least, you should familiarize yourself with the RAM and CPU usage of your server, which can be discovered with these commands:

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echo [PID]  [MEM]  [PATH] &&  ps aux | awk '{print $2, $4, $11}' | sort -k2rn | head -n 20
ps -eo pcpu,pid,user,args | sort -k 1 -r | head -20

MySQLTuner

The MySQLTuner script assesses your MySQL installation, and then outputs suggestions for increasing your server’s performance and stability.

  1. Download and run MySQLTuner:

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    curl -L http://mysqltuner.pl/ | perl
    
  2. It outputs your results:

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     >>  MySQLTuner 1.4.0 - Major Hayden <major@mhtx.net>
     >>  Bug reports, feature requests, and downloads at http://mysqltuner.com/
     >>  Run with '--help' for additional options and output filtering
    Please enter your MySQL administrative login: root
    Please enter your MySQL administrative password:
    [OK] Currently running supported MySQL version 5.5.41-0+wheezy1
    [OK] Operating on 64-bit architecture
    
    -------- Storage Engine Statistics -------------------------------------------
    [--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM
    [--] Data in InnoDB tables: 1M (Tables: 11)
    [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17)
    [!!] Total fragmented tables: 11
    
    -------- Security Recommendations  -------------------------------------------
    [OK] All database users have passwords assigned
    
    -------- Performance Metrics -------------------------------------------------
    [--] Up for: 47s (113 q [2.404 qps], 42 conn, TX: 19K, RX: 7K)
    [--] Reads / Writes: 100% / 0%
    [--] Total buffers: 192.0M global + 2.7M per thread (151 max threads)
    [OK] Maximum possible memory usage: 597.8M (60% of installed RAM)
    [OK] Slow queries: 0% (0/113)
    [OK] Highest usage of available connections: 0% (1/151)
    [OK] Key buffer size / total MyISAM indexes: 16.0M/99.0K
    [!!] Query cache efficiency: 0.0% (0 cached / 71 selects)
    [OK] Query cache prunes per day: 0
    [OK] Temporary tables created on disk: 25% (54 on disk / 213 total)
    [OK] Thread cache hit rate: 97% (1 created / 42 connections)
    [OK] Table cache hit rate: 24% (52 open / 215 opened)
    [OK] Open file limit used: 4% (48/1K)
    [OK] Table locks acquired immediately: 100% (62 immediate / 62 locks)
    [OK] InnoDB buffer pool / data size: 128.0M/1.2M
    [OK] InnoDB log waits: 0
    -------- Recommendations -----------------------------------------------------
    General recommendations:
        Run OPTIMIZE TABLE to defragment tables for better performance
        Enable the slow query log to troubleshoot bad queries
    Variables to adjust:
        query_cache_limit (> 1M, or use smaller result sets)
    

    MySQLTuner offers suggestions regarding how to better the database’s performance. If you are wary about updating your database on your own, following MySQLTuner’s suggestions is one of the safer ways to improve your database performance.

Tuning MySQL

When altering the MySQL configuration, be alert to the changes and how they affect your database. Even when following the instructions of programs such as MySQLTuner, it is best to have some understanding of the process.

The file you are changing is located at /etc/mysql/my.cnf.

Prior to updating the MySQL configuration, create a backup of the my.cnf file:

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cp /etc/mysql/my.cnf ~/my.cnf.backup

Best practice suggests that you make small changes, one at a time, and then monitor the server after each change. You should restart MySQL after each change:

  • For systems without systemd:

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    systemctl restart mysqld
    
  • For distributions which don’t use systemd:

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    service mysql restart
    

When changing values in the my.cnf file, be sure that the line you are changing hasn’t been commented out with the pound (#) prefix.

key_buffer

Changing the key_buffer allocates more memory to MySQL, which can substantially speed up your databases, assuming you have the memory free. The key_buffer size should generally take up no more than 25 percent of the system memory when using the MyISAM table engine, and up to 70 percent for InnoDB. If the value is set too high, resources are wasted.

According to MySQL’s documentation, for servers with 256MB (or more) of RAM with many tables, a setting of 64M is recommended. Servers with 128MB of RAM and fewer tables can be set to 16M, the default value. Websites with even fewer resources and tables can have this value set lower.

max_allowed_packet

This parameter lets you set the maximum size of a sendable packet. A packet is a single SQL state, a single row being sent to a client, or a log being sent from a master to a slave. If you know that your MySQL server is going to be processing large packets, it is best to increase this to the size of your largest packet. Should this value be set too small, you would receive an error in your error log.

thread_stack

This value contains the stack size for each thread. MySQL considers the default value of the thread_stack variable sufficient for normal use; however, should an error relating to the thread_stack be logged, this can be increased.

thread_cache_size

If thread_cache_size is “turned off” (set to 0), then any new connection being made needs a new thread created for it. When the connections disengage the thread is destroyed. Otherwise, this value sets the number of unused threads to store in a cache until they need to be used for a connection. Generally this setting has little affect on performance, unless you are receiving hundreds of connections per minute, at which time this value should be increased so the majority of connections can be made on cached threads.

max_connections

This parameter sets the maximum amount of concurrent connections. It is best to consider the maximum amount of connections you have had in the past before setting this number, so you’ll have a buffer between that upper number and the max_connections value. Note, this does not indicate the maximum amount of users on your website at one time; rather it shows the maximum amount of users making requests concurrently.

table_cache

This value should be kept higher than your open_tables value. To determine this value use:

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SHOW STATUS LIKE 'open%';

 

How To Measure MySQL Query Performance with mysqlslap

28/12/2023 Comments off

Source: digitalocean

Introduction

MySQL comes with a handy little diagnostic tool called mysqlslap that’s been around since version 5.1.4. It’s a benchmarking tool that can help DBAs and developers load test their database servers.

mysqlslap can emulate a large number of client connections hitting the database server at the same time. The load testing parameters are fully configurable and the results from different test runs can be used to fine-tune database design or hardware resources.

In this tutorial we will learn how to use mysqlslap to load test a MySQL database with some basic queries and see how benchmarking can help us fine-tune those queries. After some basic demonstrations, we will run through a fairly realistic test scenario where we create a copy of an existing database for testing, glean queries from a log, and run the test from a script.

The commands, packages, and files shown in this tutorial were tested on CentOS 7. The concepts remain the same for other distributions. Lire la suite…