MariaDBUbuntuNginx
In this blog post we will show you how to install Bolt CMS on anUbuntu VPSwith Nginx and MariaDB.Boltis a lightweight CMS, written in PHP and it’s built upon the Silex framework. This should work on otherLinux VPSsystems as well but was tested and written for Ubuntu.
Update the system and install necessary packages.
root@vps:~# apt-get -y update && apt-get -y upgraderoot@vps:~# apt-get install python-software-properties curl git
Install MariaDB and create a database.
root@vps:~#apt-key adv --recv-keys --keyserver hkp://keyserver.ubuntu.com:80 0xcbcb082a1bb943dbroot@vps:~# add-apt-repository 'deb http://ftp.osuosl.org/pub/mariadb/repo/10.0/ubuntu trusty main'root@vps:~# apt-get -y updateroot@vps:~# echo -e "Package: */nPin: origin ftp.osuosl.org/nPin-Priority: 1000" | tee /etc/apt/preferences.d/mariadbroot@vps:~# apt-get install mariadb-serverroot@vps:~# mysql -uroot -pMariaDB [(none)]> create database bolt;MariaDB [(none)]> GRANT ALL PRIVILEGES ON bolt.* TO 'bolt'@'localhost' IDENTIFIED BY 'boltPassword'MariaDB [(none)]> flush privileges;MariaDB [(none)]> /q;
Install PHP and Nginx
apt-get install nginx php5-fpm php-cli php5-mysql php5-mcrypt php5-curl php5-sqlite
Install Composer
root@vps:~# curl -sS https://getcomposer.org/installer | phproot@vps:~# mv composer.phar /usr/local/bin/composer
Create a root directory for your web site and clone the git repository from github
root@vps:~# mkdir -p /var/www/yourwebsite.com/{public_html,logs}root@vps:~# git clone https://github.com/bolt/bolt.git /var/www/yourwebsite.com/public_htmlroot@vps:~# cd /var/www/yourwebsite.com/public_htmlroot@vps:~# composer install
Configure the database
root@vps:~# cp app/config/config.yml.dist app/config/config.yml
Change the database settings in app/config/config.yml
database:driver: mysqlusername: boltpassword: boltPassworddatabasename: bolt
Nginx configuration.
Create a new Nginx server block with the following content
root@vps:~# cat /etc/nginx/sites-available/yourwebsite.comserver { server_name yourwebsite.com; listen 80; root /var/www/yourwebsite.com/public_html; access_log /var/www/yourwebsite.com/logs/access.log; error_log /var/www/yourwebsite.com/logs/error.log; index index.php; location / { try_files $uri $uri/ /index.php?$query_string; } location ~* /thumbs/(.*)$ { try_files $uri $uri/ /app/classes/timthumb.php?$query_string; } location /app/classes/upload { try_files $uri $uri/ /app/classes/upload/index.php?$query_string; } location ~* /.(?:ico|css|js|gif|jpe?g|png|ttf|woff)$ { access_log off; expires 30d; add_header Pragma public; add_header Cache-Control "public, mustrevalidate, proxy-revalidate"; } location ~ /.php$ { fastcgi_index index.php; fastcgi_split_path_info ^(.+/.php)(.*)$; fastcgi_keep_conn on; include /etc/nginx/fastcgi_params; fastcgi_pass unix:/var/run/php5-fpm.sock; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; } location ~ //.ht { deny all; } location /app { deny all; } location ~ /vendor { deny all; } location ~ /.db$ { deny all; }}EOF
Symlink it and restart the server
root@vps:~# ln -s /etc/nginx/sites-available/yourwebsite.com /etc/nginx/sites-enabled/yourwebsite.comroot@vps:~# /etc/init.d/nginx restart
Set the correct permissions
root@vps:~# chown -R www-data: /var/www/yourwebsite.com/public_html/
That’s it. Now open your browser, type the address of your website and create the first user.
Of course you don’t have to do any of this if you use one of ourLinux VPS Hostingservices, in which case you can simply ask our expert Linux admins to setup this for you. They are available 24×7 and will take care of your request immediately.
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MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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