Introduction In this article, we are going to see how we can implement an audit logging mechanism using MySQL database triggers to store the old and new row states in JSON column types. Database tables Let’s assume we have a library application that has the following two tables: The book table stores all the books that are found in our library, and the book_audit_log table stores the CDC (Change Data Capture) events that happened to a given book record via an INSERT, UPDATE, or DELETE DML statement. The book_audit_log table is created... Read More

The post MySQL audit logging using triggers appeared first on Vlad Mihalcea.

A new release of MySQL was out on July 13 (8.0.21).
Among all the changes, there are some that I have already tested and that I really appreciate.

Who stopped the MySQL server?

In previous releases, I can already see in the error log file who stopped the MySQL server if this was done through the shutdown statement.
In MySQL 8.0.20:

mysql> shutdown;
Query OK, 0 rows affected (0.00 sec)
mysql> exit;
Bye
# tail -2 /u01/app/mysql/admin/mysqld2/log/mysqld2.err
2020-07-23T20:39:08.049064+02:00 9 [System] [MY-013172] [Server] Received SHUTDOWN from user root. Shutting down mysqld (Version: 8.0.20).
2020-07-23T20:39:09.796726+02:00 0 [System] [MY-010910] [Server] /u01/app/mysql/product/mysql-8.0.20/bin/mysqld: Shutdown complete (mysqld 8.0.20)  MySQL Community Server - GPL.

In MySQL 8.0.21:

mysql> …

A new release of MySQL was out on July 13 (8.0.21).
Among all the changes, there are some that I have already tested and that I really appreciate.

Who stopped the MySQL server?

In previous releases, I can already see in the error log file who stopped the MySQL server if this was done through the shutdown statement.
In MySQL 8.0.20:

mysql> shutdown;
Query OK, 0 rows affected (0.00 sec)
mysql> exit;
Bye
# tail -2 /u01/app/mysql/admin/mysqld2/log/mysqld2.err
2020-07-23T20:39:08.049064+02:00 9 [System] [MY-013172] [Server] Received SHUTDOWN from user root. Shutting down mysqld (Version: 8.0.20).
2020-07-23T20:39:09.796726+02:00 0 [System] [MY-010910] [Server] /u01/app/mysql/product/mysql-8.0.20/bin/mysqld: Shutdown complete (mysqld 8.0.20)  MySQL Community Server - GPL.

In MySQL 8.0.21:

mysql> …

In one of the latest post, I discussed how to transform a large MySQL table to JSON using Apache Spark. Well, that approach works for any tables with any volume. But it’s an overkill for simple and small tables. The good news is MySQL by default has a feature for …

The post Export MySQL query results as JSON appeared first on Geeky Hacker.

Apache Spark is the de facto framework of the big data world. Any serious organization that’s dealing with big data uses Spark almost exclusively. Though, it has some caveats. For the starter, it’s hard to use. And it’s very confusing to get started with, even for those with a solid …

The post MySQL table to JSON with 10 lines of Spark appeared first on Geeky Hacker.

What a great event ! I got very positive feedback for this extended preFOSDEM MySQL Day 2020.

Before my summary, I wanted to thank again all speakers and attendees. Without you this event won’t even exist. And thank you to ICAB for hosting us yet another time !

As you may know, we had 2 parallel tracks for 2 consecutive days. We had very valuable technical content from the MySQL developers and also from the external community members who talked about their favorite database.

There was a large interest in MySQL NDB Cluster and it was obvious that the nice presentations we had, encouraged people to try the worlds highest performance open source in-memory database (and they can even test it on their laptop with DBDeployer). The NDB users were also happy with the new stuff and impressive numbers that Bernd …

The schedule of the preFOSDEM Day is now available !

We had a lot of proposals to deal with. Also this is a MySQL event where we, the MySQL Team has the possibility to show to you, our Community, all what we have working on to improve MySQL but also new stuff. We also invite some of our friends from the MySQL Community to talk about their experience.

I think we did a good selection and propose you new content. We are extremely happy to have Saverio Miroddi from TicketSolve talking about MySQL 8.0, Uber talking about InnoDB Cluster, and Facebook about Binlog.

As you can see, we will have 2 rooms, where one will be dedicated mostly to SQL and Optimizer topics but also tutorials.

You can also see that this year we also want to put some spot lights to MySQL NDB Cluster. You will see what is it, how is it used and what’s new. We will also have 2 community speakers sharing their MySQL NDB knowledge: Giuseppe Maxia, …

This presentation is a summary of the MySQL 8.0.17 new features.

The post MySQL 8.0.17 - New Features Summary first appeared on dasini.net - Diary of a MySQL expert.

Mid September, MySQL Community, MySQL Customers and MySQL Engineers will be in San Francisco to share their experience and present the new features of your favorite database !

The event will be held in Moscone South (just Mirko Ortensi‘s Hands-on Lab will be delivered in Moscone West).

During the week, the MySQL Community Team will host the traditional MySQL Reception. We got so great feedback from last year that we decided to renew the experience in the same awesome location, the Samovar Tea Lounge at Yerba Buena Gardens. Don’t forget that you need to register for this reception but no OOW pass is required. Please register here !

Back to the conference, you can find the full schedule for the session in the …

Multi-Valued Indexes are going to change the way you think about using JSON data and the way you architect your data. Before MySQL 8.0.17 you could store data in JSON arrays but trying to search on that data in those embedded arrays was tricky and usually required a full table scan.  But now it is easy and very quick to search and to access the data in JSON arrays.
Multi-Valued IndexesA Multi-Valued Index (MVI) is a secondary index defined on a column made up of an array of values.  We are all used to traditional indexes where you have one value per index entry, a 1:1 ratio.  A MVI can have multiple records for each index record.  So you can have multiple postal codes, phone numbers, or other attributes from one JSON document indexed for quick access. See Multi-Valued Indexes for details.

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