When performing physical backup on system that are heavily used, it can happen that the backup speed cannot keep up with the redo log generation. This can happen when the backup storage is slower than the redo log storage media and this can lead in inconsistency in the generated backup.

MySQL Enterprise Backup (aka MEB) and probably Percona Xtrabackup, benefit from the possibility to sequentially write redo log records to an archive file in addition to the redo log files.

This feature was introduced in MySQL 8.0.17.

How to enable it ?

To enable this feature, two settings are necessary:

• set globally a directory where those archiving logs can be stored
• start the archiving process in a session by calling a dedicated function

The global variable is …

The LEMP software stack is a group of open-source software that enables a server to host dynamic websites and apps written in PHP. This guide will show you to install a LEMP Stack on an Ubuntu 22.04 server.

We are pleased to announce the general availability of Vitess 14. Major Themes # In this new release, major improvements have been made in several areas of Vitess, including usability and reliability. Online DDL is now GA. Gen4 planner is the new default planner. VTAdmin and VTOrc are officially in beta with Vitess 14. Usability # Command-Line Syntax Deprecation # This release marks the beginning of Vitess standardizing its command-line and flags syntax.

There is a whole lot of great PHP, MySQL, and LAMP-stack content in this week’s OpenLampTech newsletter. But, would you expect any less? Me neither. Enjoy this edition and share with others. Thank you for being a dedicated reader!

The Newsletter for PHP and MySQL Developers

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There is most definitely something for everyone in …

One of my students asked how you could get JSON data out in tabular format. I said they should look at Øystein Grøvlen’s JSON_TABLE – Best of Both Worlds blog post from 2018. Unfortunately, the student wanted another example with the Video Store model that we use in class.

For clarity, all path definitions start with a $ followed by other selectors:

• A period followed by a name, such as $.website
• [N] where N is the position in a zero-indexed array
• The .[*] wildcard evaluates all members of an object
• The [*] wildcard evaluates all members of an array
• The prefix and suffix wildcard, **, evaluates to all paths that begin with the named prefix and end with the named suffix

So, here’s a quick supplement to what’s already there. It assumes you created an …

Yesterday, I wrote a blog post that showed you how to write a query returning a JSON structure for a 1:many relationship. The relationship was between the member and contact table. It returns one account_number from the member table and a list of first_name and last_name columns from the contact table in a JSON structure.

One of my students asked why I choose to strip the backslashes with Python, and my reply was the SQL was already complex for most blog readers. The student asked but how would you do it in SQL. OK, that’s a fair question for two reasons. First, you don’t need to do in your local programs because it’ll run faster on the server. Second, if you strip the backslashes you can insert it into a standard JSON column. This blog post will show you how to do both.

You would use three REGEXP_REPLACE function calls, like:

Are they really tricks or simply basic techniques combined to create a solution. Before writing these mechanics for using native MySQL to create a compound JSON object, let me point out that the easiest way to get one is to use the MySQL Node.js library, as shown recently in my “Is SQL Programming” blog post.

Moving data from a relational model output to a JSON structure isn’t as simple as a delimited list of columns in a SQL query. Let’s look at it in stages based on the MySQL Server 12.18.2 Functions that create JSON values.

Here’s how you return single row as a JSON object, which is quite straightforward:

SELECT JSON_OBJECT('first_name',c.first_name,'last_name',c.last_name) AS json_result
FROM   contact c
WHERE …

Just  quick post to document a troublesome error when running Jmeter on Mysql

JDBC Request: Cannot load JDBC driver class’com.mysql.jdbc.Driver’ solution

Should be pretty simple, it’s just a question of putting the mysql-connector-java jar file, available at https://dev.mysql.com/downloads/connector/j/, into the classpath for Jmeter. The easiest way for me is to put this into the jmx file:

      <stringProp name=“TestPlan.user_define_classpath”> /Users/kyle.hailey/jars/mysql-connector-java-8.0.29.jar,/home/ec2-user/jars/mysql-connector-java-8.0.29.jar</stringProp>

Notice there is a space ” ” before the first jar file.  Apparently the space  was enough to cause the error. After removing the space , jmeter connected successfully to …

I recently wanted to check all tables’ current AUTO_INCREMENT value (if any) for a database dump structure. I wasn’t sure if a tables’ Data Definition Language (DDL) statement contained the current AUTO_INCREMENT value or not. So after I loaded the dump file, I learned of a query to use and find out…

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