![]() ![]() ![]() To create the sakila database on the server, we’ll use the following command-line script: /execute /connection:"User Id=%user-name% password=%your-password% Host=%your-host%" /inputfile "D:\Temp\DevOps_MySQL\Create_sakila2.sql" We are not going to labor the point in this article as these operations are pretty basic. That can be easily done with a database creation script, CMD, and dbForge Studio for MySQL. Create or recreate the database on the serverīefore deploying the database on the server, you need to create or recreate the database (drop the old database one and create a new one). The name of the database containing the test data you want to useīefore running the above-mentioned command, make sure that the Git for Windows client is installed on your machine. ![]() The name of the repository you want to clone Below is the CMD command for this operation: git clone D:\Temp\DevOps_MySQL In this worked example, we will clone the repository to D:\Temp\DevOps_MySQL\. First of all, we need to clone this remote repository to a local folder. Suppose that in a remote Git repository there is a scripts folder we need to use as a data source for creating our database. The necessary template files previously configured with dbForge Studio for MySQL (.scomp.dbForge Studio for MySQL installed on the machine.Suppose, that our database source code is located on a remote repository, and the test data for it have to be generated or taken from other sources such as a script folder, another database, or a file. How to automate test data recovery with dbForge Studio for MySQL Thus, database development automation aimed at increasing the speed of delivery of database changes leads to shorter iterations and definitely has a positive impact on the continuous delivery of software applications. Why DevOps for databases?ĭatabase changes are the main reason for delay when performing application deployments. What is DevOps?ĭevOps is quite new and rapidly spreading concept that describes a set of practices aimed at automating software development and delivery processes so that development and IT teams could shorten the entire service lifecycle and provide continuous delivery of high-quality software. But before embarking on a detailed walkthrough on how to automate the test data recovery process with the help of dbForge Studio for MySQL, let’s first gloss over some terms. Therefore, its automation is essential in assuring a fast, reliable, and cost-effective delivery. Test data recovery is a time-consuming and labor-intensive process usually done manually. This article offers the simplest way to automate the process using only one tool – dbForge Studio for MySQL. That’s where the problem of repeated recovery of test data arises. When developing a software application based upon complex database structure, it is often necessary to run diverse business logic test scenarios on the same input data. ![]()
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