Kristian Nielsen is working on a new feature for MariaDB 10.3 and he published very interesting results.  This feature is MDEV-12179: Per-engine mysql.gtid_slave_pos tables.  He writes about replicating twice as fast in the worst case when using two storage engines (InnoDB and MariaRocks in his tests, but could also be InnoDB and TokuDB or TokuDB and MyRocks).  I will let you read all the details

What is the solution if I don’t want to give password in command line (i.e mysql -uroot -p ) OR don’t want to store password in files(in .my.cnf) and still can login into MySQL/MariaDB without password ? I was also bit curious to know but finally I found very easy solution called “unix_socket plugin” provided by MariaDB.

This plugin allows to use operating system user credentials while connecting to MariaDB via Unix socket. When we try to connect with OS user, it will retrieve uid of the process which has connected to the socket and allow it to connect to MariaDB with the same user.

You can simply install that plugin with command,

MariaDB [(none)]> INSTALL PLUGIN unix_socket SONAME 'auth_socket';
Query OK, 0 rows affected (0.02 sec)

After, then you need to identify the user which you want to use to login into MariaDB. Like for me,

The slides and videos from the Percona Live Open Source Database Conference 2017 are available for viewing and download. The videos and slides cover the keynotes, breakout sessions and MySQL and MongoDB 101 sessions.

To view slides, go to the Percona Live agenda, and select the talk you want slides for from the schedule, and click through to the talk web page. The slides are available below the talk description. There is also a page with all the slides that is searchable by topic, talk title, speaker, company or keywords.

To view videos, go to the …

New MariaDB/MySQL storage engines such as MyRocks and TokuDB have renewed interest in using engines other than InnoDB. This is great, but also presents new challenges. In this article, I will describe work that I am currently finishing, and which addresses one such challenge.

For example, the left bar in the figure shows what happens to MyRocks replication performance when used with a default install where the replication state table uses InnoDB. The middle bar shows the performance improvement from my patch.

Current MariaDB and MySQL replication uses tables to transactionally record the replication state (eg mysql.gtid_slave_pos). When non-InnoDB storage engines are introduced the question becomes: What engine should be used for the replication table? Any choice will penalise other engines heavily by injecting a cross-engine transaction with every replicated change. Unless all tables can be migrated to the …

In this post we’ll see how MariaDB’s Handler_icp_% counters status counters (Handler_icp_attempts and Handler_icp_matches) measure ICP-related work done by the server and storage engine layers, and how to see if our queries are getting any gains by using them.

These counters (as seen in SHOW STATUS output) are MariaDB-specific. In a later post, we will see how we can get this information in MySQL and Percona Server. This investigation spun off from comments in Michael’s post about the new MariaDB dashboard in PMM. Comments are very useful, so keep them coming!

We can start by checking the corresponding documentation pages:

…

MariaDB Backup has been released with MariaDB Server 10.1.23. It offers support for #MariaDB Compression and Encryption on Linux and Windows Server. MariaDB Engineering rocks ! This is different from Oracle MySQL were you have to have a commercial licence for your server to make backup with MySQL Enterprise Backup (MEB) 😉 MariaDB Backup is ...continue reading "MariaDB Backup released"

From everyone at Percona and Percona Live 2017, we’d like to send a big thank you to all our sponsors, exhibitors, and attendees at this year’s conference.

This year’s conference was an outstanding success! The event brought the open source database community together, with a technical emphasis on the core topics of MySQL, MariaDB, MongoDB, PostgreSQL, AWS, RocksDB, time series, monitoring and other open source database technologies.

We will be posting tutorial and session presentation slides at the Percona Live site, and all of them should be available shortly. 

Highlights This Year:

• Informative tutorials on day one, including …

Welcome to the third (and final) day of the Percona Live Open Source Database Conference 2017, and the third (and final) set of Percona Live keynotes! The enthusiasm hasn’t waned here at Percona Live, and we had a full house on Thursday morning!

Day three of the conference kicked off with three keynotes talks, and ended with the Community Awards Ceremony:

Spinaltap: Airbnb’s Change Data Capture System

Xinyao Hu (AirBnB)

In this talk, Xinyao introduced Airbnb’s change data change system, Spinaltap. He briefly covered its design, and focused on various use cases inside Airbnb. These use cases covered both online …

Percona Live 2017 is done for Wednesday, but there was still time to get in one more talk before tonight’s Community Networking Reception – and the last one of the evening was about Amazon RDS.

Darin Briskman, Lead Developer Outreach & Technical Evangelist for Amazon, held two back-to-back sessions on Database management made simple – Amazon RDS. Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS).

Darin reviewed how Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, …

The afternoon at Percona Live 2017 is slipping by quickly, and people are still actively looking for sessions to attend – like the session I just sat in on histograms in MySQL and MariaDB.

Histograms are a type of column statistic that provides more detailed information about data distributions in table columns. A histogram sorts values into buckets.

MariaDB Server has had histograms since MariaDB 10.0. Now, MySQL 8.0 will have them too. This session presented an overview of histogram implementations in MariaDB, MySQL 8.0, and looked at PostgreSQL for comparison. The session covered everything about histograms:

• Why do query optimizers need histograms
• What are the costs of collecting and maintaining a …