The latest from the MySQL community

Many of you are coming to San Francisco next week for Oracle OpenWorld 2015 and many of you have already booked time on your calendars on Wednesday evening before the appreciation event. You are right — the Annual Oracle Bloggers Meetup, one of your favorite events of the OpenWorld, is happening at usual place and time!

What: Oracle Bloggers Meetup 2015.

When: Wed, 28-Oct-2015, 5:30pm.

Where: Main Dining Room, Jillian’s Billiards @ Metreon, 101 Fourth Street, San Francisco, CA 94103 ( …

I love graphs. They just make things easier when it comes to finding patterns. I also love visibility. Having the ability to known what is going on inside the database is priceless. How about having visibility of the slow queries execution time on a graph? Let’s do it.

We’ve already described how to get query digest using performance schema. Since the MySQL server is already doing the heavy lifting for you with little-to-no overhead, this information is available practically at will. So let’s make some graphs with that data.

To accomplish this I will use the well-known tool Graphite to store and render time-series data. For those who are not familiar with Graphite, it’s actually a 3-piece tool, consisting of:

• The …

Recently, I had a requirement to update my script console output depending on user key-press. Since calculation was done by background threads, I also wanted to prevent CTRL+C from stopping the script without proper cleanup.
However, looks like seamless handling of key-press along with handling special sequences is not available in Powershell. This was to be expected given that [system.console]::readkey is designed for accepting the user input which is mostly answers to flow control questions. Register-EngineEvent does not help either.

Anyway, let's tackle both problems one by one:
1) Disable CTRL+C from stopping the script:

            [console]::TreatControlCAsInput = $true

Note that CTRL+BREAK will end the session entirely and do the …

Mon, 2015-10-19 07:19geoff_montee_g

My last row-level security blog post got a few questions, so I decided that it would be good to follow up with more detail. The last blog post described some basic information about row-level security, but row-level security policies are highly dependent on an application's or organization's security requirements. In this blog post, I'm going to walk through an example row-level security implementation in MariaDB 10.0 in a little more detail.

In this blog post, I'll do the following:

1. Describe a fictional application.
2. Outline a set of row-level security requirements for the application.
3. Show how to meet the security requirements by securing the relevant parts of the application's schema.

The Application

In this example, my fictional …

With the release of 10.1.8, MariaDB takes a next step. MariaDB 10.1 is now considered a stable release.

MariaDB 10.1 has a couple of main themes:

• Security
• High Availability
• Scalability

During the last few years there have been many request for more security features in MariaDB. Actually it’s a trend in general. Since open source software is getting more attractive all the time, more functionality is wanted in areas where proprietary software typically has been leading. This is especially true for databases. In addition data privacy is a very hot topic.

The big new thing in security for MariaDB 10.1 is a complete data at rest encryption solution. The encryption that now is in use originates from Google’s encryption patch. It has now been migrated into MariaDB 10.1. The …

Update 2016-01-30: restarting the IO_THREAD might be considered useful in some situations (avoiding MDEV-9138).  Look for "in contrast, if the IO thread was also stopped first" in MDEV-6589 for more information.

In a previous post, I listed some sequences of commands that you should not run on a MariaDB slave that is lagging and which is using the GTID protocol.  Those are the following (do not

It's Oracle OpenWorld time, and MySQL Cluster will be in San Francisco again along with the rest of the MySQL team. 

The session agenda is online, but can be tricky to navigate given the breadth of the conference, but it's possible to narrow down to those sessions in the MySQL track.

From a MySQL Cluster perspective, there two conference sessions from the Cluster development team, a Hands-On Lab from our Cluster Support team and most …

Description:

I create a empty table and then alter this table's "AUTO_INCREMENT" starts from 10000000.After a long time ,MySQL lost "AUTO_INCREMENT" definition when I show this table again. MariaDB has the same problem but Percona Server is fine.

$mysql06

Warning: Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor.  Commands end with ; or \g.
Your MySQL connection id is 141028725
Server version: 5.6.17-log MySQL Community Server (GPL)

Copyright (c) 2000, 2014, Oracle and/or its affiliates. All rights reserved.

Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

mysql> use test;
Reading table information for …

What is Spark

Apache Spark is a cluster computing framework, similar to Apache Hadoop. Wikipedia has a great description of it:

Apache Spark is an open source cluster computing framework originally developed in the AMPLab at University of California, Berkeley but was later donated to the Apache Software Foundation where it remains today. In contrast to Hadoop’s two-stage disk-based MapReduce paradigm, Spark’s multi-stage in-memory primitives provides performance up to 100 times faster for certain applications. By allowing user programs to load data into a cluster’s memory and query it repeatedly, Spark is well-suited to machine learning algorithms.

In contrast to popular belief, Spark does not require all data to fit into memory but will use caching to speed up the operations …

“Scaling = replacing all components of a car while driving it at 100mph”

– Mike Krieger, Instagram Co-founder @ Airbnb OpenAir 2015

Airbnb peak traffic grows at a rate of 3.5x per year, with a seasonal summer peak.

Heading into the 2015 summer travel season, the infrastructure team at Airbnb was hard at work scaling our databases to handle the expected record summer traffic. One particularly impactful project aimed to partition certain tables by application function onto their own database, which typically would require a significant engineering investment in the form of application layer changes, data migration, and robust testing to guarantee data consistency with minimal downtime. In an attempt to save weeks of …