We are happy to announce the new release of our flagship solution for MySQL – dbForge Studio for MySQL – which is now available on Linux and macOS! Check out the updated features and improvements. Getting Started and Video Tutorials When you need to learn how the product or its specific feature works, you as […]

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This article explains how to install and configure the ODBC Driver Manager on Windows, macOS, and Linux. Also, it shows how to configure the ODBC data source name. Contents What is ODBC Driver Manager? How to Install ODBC Driver Manager Installing and Configuring an ODBC Driver Manager on Windows Installing and Configuring an ODBC Driver […]

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If your occupation has anything to do with databases, you face all kinds of routine tasks on data manipulation every day. Does it mean you have to do them all manually? Of course, not. It would consume all your time and raise plenty of risks. There are many convenient IDEs like dbForge Studio for MySQL […]

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In this article, we’re going to share the MySQL tutorial how to use the MySQL GROUP BY function as well as this function usage together with and without aggregate functions. Contents What is the meaning of the GROUP BY clause in MySQL? GROUP BY syntax in MySQL Simple GROUP BY example GROUP BY and the […]

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There are two types of IFs in MySQL: the IF statement and the IF function. Both are different from each other.  In this article, we will explain their diversities and show usage examples. Also, we will review other MySQL functions. Contents MySQL IF statements MySQL IF-THEN statement MySQL IF-THEN-ELSE statement MySQL IF-THEN-ELSEIF-ELSE statement Examples of […]

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In this article, we are going to talk about the WHERE clause and how to use it in MySQL. Besides SELECT, the scope of the WHERE clause includes the UPDATE and DELETE statements. The WHERE clause is indispensable for quality work with MySQL databases. That’s why the current article will deal with this clause and […]

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The festive season has come to an end, but Devart is still receiving presents. We have great news that we would like to share. dbForge Studio for MySQL gained nine awards from G2. The collection of dbForge Studio for MySQL counts nine new badges: According to G2 users reviews, dbForge Studio for MySQL attracts by […]

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If you are looking to improve the performance of MySQL databases in your software, you may need to know all the differences between InnoDB and MyISAM, two well-known types of MySQL storage engines. And if you are about to choose one of them, we believe you would like to find out what each of them […]

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While exporting the table with MySQL native utility, we don’t have any control on the process, and also there will be no progress update as well on the process completion. So when exporting the larger table will consume high resource utilization and also the disk space usage will also be high.

MySQL shell utility will make the process easier. It will export the table and we can import the data back with a parallel thread and also will provide the current progress status on export/import progress.

util.exportTable() utility was introduced in Shell – 8.0.22 version, will export the data in a controlled manner. We can store the data in either local or Cloud Infrastructure Object Storage bucket as well.

We will see about the compression ratio along with the time taken for native MySQL vs Shell utility

Feature :

• Compression
• Progress status
• Supported output …

We all tried various alternative methods for modifying the table structure, but pt-online-schema-change (pt-osc) is the most convenient and preferred method for performing the alter online. It has more granular control too. But it may lead to data loss if proper precautionary steps are not taken care of.

In this blog, we are going to modify a column to a unique key using pt-osc, below I have shared the table structure.

mysql> show create table test\G
* 1. row *
Table: test
Create Table: CREATE TABLE test (
Personid int(11) NOT NULL AUTO_INCREMENT,
LastName varchar(255) NOT NULL,
FirstName varchar(255) DEFAULT NULL,
Age int(11) DEFAULT NULL,
PRIMARY KEY (Personid)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=latin1
1 row in set (0.00 sec)

I have inserted the data of 1000 rows using …