![]() Note that, behind the scenes, the database is still dropping the table and re-creating it via the SQL CREATE TABLE statement. Whereas the above script recreates the table from scratch, you can also TRUNCATE a table and then re-insert the data from a backup table using the INSERT INTO command: As you can see, the DROP TABLE IF EXISTS command precedes the CREATE statement: Truncating a Table Here is a sample generated file in the Navicat SQL Editor. Like mysqldump, it also provides many options, including whether to dump both the structure and data or structure only: Navicat database development and admin clients include a Dump SQL File command. Mysqldump has a -add-drop-table option, but it's ON by default, so you don't need to include it under normal usage. Which ever utility you use, it's crucial that the generated SQL includes a DROP TABLE statement before the table population. Shell> mysql -user="username" -database="databasename" -password="yourpassword" mysqldump db_name > backup-file.sql For example, in MySQL, you can invoke the SQL script as follows: All popular relational databases can run an SQL script directly from the command line. SQL scripts provide a simple means of grouping related SQL functionality for the purpose of reusing whenever needed. An SQL script can contain both SQL statements or PL/SQL blocks. SQL Scripting at WorkĪn SQL script is one that contains a set of SQL commands saved as a file, typically with a. In today's blog, I'll share what we do where I work as well as my standard process at This email address is being protected from spambots. ![]() ![]() ![]() There is no right way to overwrite table contents, so you should choose an option based on your organization's particular goals and circumstances. This is required because developers and automated tests expect the data to be of a certain quantity and quality. Case in point, the office where I work does so on a regular basis, whenever data diverges too much from the baseline. The periodic reverting of database instances to a baseline dataset is a common practice in development and test environments. A Guide to Refreshing Test Data by Robert Gravelle ![]()
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