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Displaying posts with tag: mariadb (reset)
The Optimiser Conundrum

We’ve been helping a long-term client who runs some fairly complex queries (covering lots of tables and logic on a respectably big but mainly volatile dataset). We tend to look first at query structure and table design, as fixing problems there tends to have the most impact. This contrary to just tossing more hardware at the problem, which is just expensive.

As subqueries are used (and necessary in this case), MariaDB 5.3 was already a great help with its subquery optimisations. Once again thanks, Monty and the Monty Program optimiser team (Igor, Sergey, Timour, and possibly others) – all former colleagues and they’re absolutely awesome. Together, they know the MySQL optimiser like no other.

Because the queries are generated indirectly from an exposed API (just for paying clients, but still), the load is more unpredictable than having merely a local front-end. Maintaining spare capacity with slaves addresses this, but …

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Monty’s team announces the availability of MariaDB Galera Cluster!

We’re delighted to share the news that our friends at MariaDB today announced the availability of MariaDB Galera Cluster!

We’ve been talking a good bit about MariaDB in the past few months and it’s great to see the MariaDB & Codership partnership result in today’s announcement.

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MariaDB Galera Cluster Alpha immediately available

Today we’re pleased to announce the availability of MariaDB Galera Cluster!

With this release, we’re addressing the numerous requests we’ve received over the past few months for a MariaDB-based Galera Cluster. MariaDB, the more reliable, performant, feature-complete & backwards compatible MySQL database becomes even more attractive by making it available for Galera Cluster.

What is it?

  • A straight merge of MariaDB 5.5.25 with Galera Cluster by Codership
  • An alpha release which should not be used in production environments
  • Using the Galera replication methodology, users get:
    • Synchronous, multi-master replication with guaranteed data consistency
    • This solution provides both read & write scalability

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MySQL across two coasts

The end of September/beginning of October is a most exciting time if you dig MySQL & its diaspora. September 29-30 is MySQL Connect (register – early bird ends September 7) in San Francisco and October 1-2 is Percona Live NYC (register - early bird ends September 1) in New York City. I’m just attending MySQL Connect (thanks Dave for the ticket) and I’m speaking in New York so will take the redeye on Sunday. Four packed days of MySQL/MariaDB/Percona/tools/etc. across two coasts. Who can pass this up?

Who else …

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Join SkySQL and MariaDB at LinuxCon North America!

As Patrik noted last week, MariaDB is taking a leading role in the trend of keeping the MySQL ecosystem an open one. The SkySQL and MariaDB teams work together closely on this, and we even travel together!

Join both SkySQL and MariaDB at this week’s LinuxCon North America conference in sunny San Diego to learn more about how MariaDB is directly communicating with users (including SkySQL enterprise customers) to not only identify and help fix issues with current releases of the MySQL database, but to also further enhance MariaDB to become even more technologically advanced.

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IOUG Podcast 24-AUG-2012 Rumors of MySQL’s Doom by Oracle / Design Piracy

For the week of August 24th, 2012: Everybody’s Preparing for OpenWorld Dispelling the Rumors of MySQL’s Impending Doom On Piracy of Design IOUG Podcast 24-AUG-2012 Rumors of MySQL’s Doom by Oracle / Design Piracy Subscribe to this Podcast (RSS) or … Continue reading →

Fun with Performance Schema

I'm using a very small MariaDB instance as a datastore for my YouLess energy monitor, my own mail server (postfix, roundcube). It's a virtual machine from a commercial VPS provider.

All data fits in memory and the overhead of running with performance_schema on is not an issue.

While I was reading a blog post about performance_schema by Mark Leith I wanted to see what P_S could tell me about my own server.

This is the output from the first query:

mysql> select * from file_summary_by_event_name order by count_read desc,count_write desc limit 10;
+--------------------------------------+------------+-------------+--------------------------+---------------------------+
| EVENT_NAME | …
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SkySQL and MariaDB Working Together to Keep MySQL an Open Ecosystem

I pledged, in my first post last month, that SkySQL will do its part to promote the best of MySQL and its community. Given the recent discovery that Oracle is no longer publishing test cases for bug fixes, and the dialogue surrounding it, it feels like the right time to share my thoughts on what this means to the open source collective, and what we can do – and are doing – about it.

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The Explain Analyzer and HeidiSQL

A few months ago we announced the EXPLAIN Analyzer, a simple tool to help you understand how MariaDB / MySQL was running queries. For users of HeidiSQL this is now even easier. As discussed in their news post you can now send a query to the EXPLAIN analyzer with a single click.

We hope this helps both new and experienced users better understand the queries they run.

More information about the EXPLAIN Analyzer and the simple API client authors can use to add support to their apps is available in the AskMonty Knowledgebase:

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Webinar: Introduction to TokuDB

Businesses increasingly operate in a 24×7 environment, where complex analytics must be performed on live, continuously incoming “Big Data.” To address this, TokuDB has developed Fractal Tree®  technology, a revolutionary new indexing capability that enables SQL databases running advanced web applications to grow from gigabytes to terabytes while improving insert speed, query performance, compression, and enabling zero-downtime schema changes.

Date: September 5th
Time: 2 PM EST / 11 AM PST

REGISTER TODAY

TokuDB is used by MySQL and MariaDB customers worldwide to increase their database performance by 20x-80x on Big Data applications that conventional RDBMS’s cannot handle. Instead of waiting hours or even days to run queries …

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