Renaming Database Tables with PhpMyAdmin

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Renaming a table within a database is a task that may need to be done occasionally. You might just need to rename it for clarification purposes, to archive old data, to make a copy when a restore is being done, or any number of other reasons. PhpMyAdmin helps you rename a database quickly with just a few clicks.

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Choosing Your Cloud Sites Technology Setup

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Standing behind our Liquid Web Cloud Sites product, are server racks full of both powerful and stable Linux and Windows servers which power well over 100,000 sites and applications. Every Windows-based package is served from these clusters that are built and optimized especially for Windows. All Linux-based packages are also served from these same brawny server clusters created and specifically optimized for Linux. We use advanced load balancing technologies to automatically detect the type of technology you are running and route each request to the proper pool of servers.

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Exporting Databases and Tables with PhpMyAdmin

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Using PhpMyAdmin to export a database or table is a great way to make a backup you can save locally, or it can help you with transferring that information to another server quickly. A few simple steps can be a powerful tool to help you and your business. We will go over exporting all databases at once, a single database, and exporting a single table. This guide assumes that you have already logged in to PhpMyAdmin.

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Create a MySQL User on Linux via Command Line

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Pre-Flight Check

  • These instructions are intended for creating a MySQL user on Linux via the command line.
  • I’ll be working from a Liquid Web Core Managed CentOS 6.5 server, and I’ll be logged in as root.

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Importing Databases and Tables with PhpMyAdmin

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Using PhpMyAdmin to import databases can help us in a few different situations, like when moving a database from one server to another, updating a table that is being developed elsewhere, or even restoring content from a backup. PhpMyAdmin helps make all those processes easy to accomplish through our browser.

This guide assumes that you have already logged in to PhpMyAdmin. We will go over what happens if we try to import into an existing database, importing a single table, and also partially restoring from a full database backup.

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Creating Tables in a Database with phpMyAdmin

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Creating a table and remembering what all details need to go in it can be tricky if you are manually running commands to get it set up. PhpMyAdmin can help with setting up the structure for the tables and makes the whole process quick and easy. This guide assumes that you have already logged in to PhpMyAdmin. Now let’s explore how to run SQL queries on a database.

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Searching Through a Database with PhpMyAdmin

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Using PhpMyAdmin to search for records and information in your database can quickly help you get the information you need without having to run advanced search queries. This tutorial assumes you have already logged in to PhpMyAdmin, and shows how to search by keyword and for a range of records.

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Running SQL Queries on a Database with PhpMyAdmin

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In this tutorial, we will explore how to run SQL queries on a database within PhpMyAdmin. SQL stands for Structured Query Language. SQL statements or queries are used to perform database tasks such as searching, updating, or retrieving data from a database.

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Show (List) MySQL Databases on Linux via Command Line

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Pre-Flight Check

  • These instructions are intended for showing (listing) all MySQL databases via the command line.
  • I’ll be working from a Liquid Web Core Managed CentOS 7 server, and I’ll be logged in as root.

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MySQL Performance: MySQL/MariaDB Indexes

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Data in a MySQL/MariaDB database is stored in tables. A simple way of thinking about indexes is to imagine an extensive spreadsheet. This type of system is not always conducive to quick searching; that’s where an index becomes essential. If there is no index, then the database engine has to start at row one and browse through all the rows looking for the corresponding values. If this is a small table, then it is no big deal, but in larger tables and applications where there can be tables with millions and even billions of rows, it becomes problematic. As you can imagine, searching through those rows one by one will be time-consuming, even on the latest hardware. The solution is to create an INDEX (or more than one) for your data.

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