Installing Apache2 With PHP5 And MySQL Support On Ubuntu 13._MySQL
UbuntuApache
Installing Apache2 With PHP5 And MySQL Support On Ubuntu 13.10 (LAMP)
Version 1.0
Author: Falko Timme, updated by Srijan Kishore
Last edited 15/Apr/2014
LAMP is short forLinux,Apache,MySQL,PHP. This tutorial shows how you can install an Apache2 webserver on anUbuntu 13.04 server with PHP5 support (mod_php) and MySQL support.
I do not issue any guarantee that this will work for you!
1 Preliminary Note
In this tutorial I use the hostnameserver1.example.comwith the IP address192.168.0.100. These settings might differ for you, so you have to replace them where appropriate.
I'm running all the steps in this tutorial with root privileges, so make sure you're logged in as root:
sudo su
2 Installing MySQL 5
First we install MySQL 5 like this:
apt-get install mysql-server mysql-client
You will be asked to provide a password for the MySQL root user - this password is valid for the userroot@localhostas well asroot@server1.example.com, so we don't have to specify a MySQL root password manually later on:
New password for the MySQL "root" user:Repeat password for the MySQL "root" user:
3 Installing Apache2
Apache2 is available as an Ubuntu package, therefore we can install it like this:
apt-get install apache2
Now direct your browser tohttp://192.168.0.100, and you should see the Apache2 placeholder page (It works!):
Apache's default document root is/var/wwwon Ubuntu, and the configuration file is/etc/apache2/apache2.conf. Additional configurations are stored in subdirectories of the/etc/apache2directory such as/etc/apache2/mods-enabled(for Apache modules),/etc/apache2/sites-enabled(for virtual hosts), and/etc/apache2/conf.d.
4 Installing PHP5
We can install PHP5 and the Apache PHP5 module as follows:
apt-get install php5 libapache2-mod-php5
We must restart Apache afterwards:
/etc/init.d/apache2 restart
5 Testing PHP5 / Getting Details About Your PHP5 Installation
The document root of the default web site is/var/www. We will now create a small PHP file (info.php) in that directory and call it in a browser. The file will display lotsof useful details about our PHP installation, such as the installed PHP version.
vi /var/www/info.php
<?php <br />phpinfo();<br>?> Copy after login |
Now we call that file in a browser (e.g.http://192.168.0.100/info.php):
As you see, PHP5 is working, and it's working through theApache 2.0 Handler, as shown in theServer APIline. If you scroll further down, you will see all modules that arealready enabled in PHP5. MySQL is not listed there which means we don't have MySQL support in PHP5 yet.
6 Getting MySQL Support In PHP5
To get MySQL support in PHP, we can install thephp5-mysqlpackage. It's a good idea to install some other PHP5 modules as well asyou might need them for your applications. You can search for available PHP5 modules like this:
apt-cache search php5
Pick the ones you need and install them like this:
apt-get install php5-mysql php5-curl php5-gd php5-intl php-pear php5-imagick php5-imap php5-mcrypt php5-memcachephp5-ming php5-ps php5-pspell php5-recode php5-snmp php5-sqlite php5-tidy php5-xmlrpc php5-xsl
Now restart Apache2:
/etc/init.d/apache2 restart
Xcache is a free and open PHP opcode cacher for caching and optimizing PHP intermediate code. It's similar to other PHP opcode cachers, such as eAccelerator and APC. It is strongly recommended to have one of these installed to speed up your PHP page.
Xcache can be installed as follows:
apt-get install php5-xcache
Now restart Apache:
/etc/init.d/apache2 restart
Now reloadhttp://192.168.0.100/info.phpin your browser and scroll down to the modules section again. You should now find lots of new modules there, including the MySQL module:
7 phpMyAdmin
phpMyAdminis a web interface through which you can manage your MySQL databases. It's a good idea to install it:
apt-get install phpmyadmin
You will see the following questions:
Web server to reconfigure automatically:Configure database for phpmyadmin with dbconfig-common?
Afterwards, you can access phpMyAdmin underhttp://192.168.0.100/phpmyadmin/:

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
