The other day a colleague and friend of mine, Peter Boros, had a case where one of our clients had to track down the process shutting down MySQL. This blog is based on the discussion we had about that internally.

Our client wanted Peter to identify the culprit behind periodic shutdowns. This proved to be slightly more difficult than usual, for reasons that you might guess from the title of this blog.

Here is what Peter saw in the logs:

150928 15:15:33 [Note] /usr/sbin/mysqld: Normal shutdown
150928 15:15:36 [Note] Event Scheduler: Purging the queue. 0 events
150928 15:15:39 [Warning] /usr/sbin/mysqld: Forcing close of thread 411515  user: 'dashboard'
150928 15:15:40  InnoDB: Starting shutdown...
150928 15:15:59  InnoDB: Shutdown completed; log sequence number 4873840375
150928 15:16:00 [Note] /usr/sbin/mysqld: Shutdown …

Docker has been consuming my life in the last few weeks. I have half a dozen projects in progress that use containers in some fashion, including my Visualizing MySQL’s Performance Schema project.

Since I prefer to work from a Mac laptop, I have to utilize a Linux Virtual Machine (VM) which runs the Docker daemon. Luckily, Docker Machine makes this a very simple process.

However, interacting both with Docker and Docker Machine does introduce some additional commands that I would rather simplify for the repeatable use-cases I’ve come across. With BASH aliases, this is not a problem.

Is My Docker Environment Setup?

When …

Welcome to next topic dedicated to Group Replication plugin. Today’s topic is to get started with Group Replication. As you remember we set up our environment using MySQL Sandbox on Ubuntu 14.04 and also we have compiled plugin with MySQL 5.7.8-rc on Ubuntu 14.04. Please refer to this topics respectively:

1. MySQL Sandbox creating test environment
2. Compiling MySQL Group replication plugin

So we have already our 3 nodes of MySQL 5.7.8-rc + group replication plugin.
Before starting group replication. We need to play with Corosync. Here is very dedicated article to this -> …

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 …

During the PerconaLive conference in Amsterdam, I attended a session where I heard a good piece of advice about using GTID. It amounts to: look at SHOW SLAVE STATUS output, and if you see more than one line in the Executed_Gtid_Set field, this tells you immediately if someone has written on a slave database.
This is good advice. Let's dissect it. Here is what a regular slave looks like, when nobody has messed up with it:

SHOW SLAVE STATUS\G
*************************** 1. row ***************************
 [...]
             Master_Server_Id: 1
                  Master_UUID: 00013454-1111-1111-1111-111111111111
             Master_Info_File: mysql.slave_master_info
                    SQL_Delay: 0
          SQL_Remaining_Delay: NULL
      Slave_SQL_Running_State: Slave has read all relay log; waiting for more …

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 …

Sorry I don’t know because I’ve already downgraded to 2.2.9.
Version 3.x wasn’t stable under Ubuntu 14.04 and I don’t have enough time to play with it and I need a working radius server in production environment :)
(I tried 3.0.3, 3.0.8, 3.0.9).

Because somebody asked for it on Freenode:

CREATE FUNCTION DATE_TRUNC(field ENUM('microsecond', 'millisecond', 'second', 'minute', 'hour', 'day', 'week', 'month', 'quarter', 'year', 'decade', 'century', 'millennium'), source datetime(6))
RETURNS datetime(6)
DETERMINISTIC
BEGIN
  IF field IN ('millisecond') THEN SET source = source - INTERVAL MICROSECOND(source) % 1000 MICROSECOND; END IF;
  IF field NOT IN ('microsecond', 'millisecond') THEN SET source = source - INTERVAL MICROSECOND(source) MICROSECOND; END IF;
  IF field NOT IN ('microsecond', 'millisecond', 'second') THEN SET source = source - INTERVAL SECOND(source) SECOND; END IF;
  IF field NOT IN ('microsecond', 'millisecond', 'second', 'minute') THEN SET source = source - INTERVAL MINUTE(source) MINUTE; END IF;
  IF field NOT IN ('microsecond', 'millisecond', 'second', 'minute', 'hour') THEN SET source = source - INTERVAL HOUR(source) HOUR; END IF;
  IF field NOT IN ('microsecond', 'millisecond', 'second', …

Wed, 2015-10-07 17:43Roger Levy

At this week’s re:Invent conference, Amazon Web Services (AWS) announced it is joining the MariaDB community with the introduction of its Relational Database Service (RDS) for MariaDB. Amazon’s decision was driven by the growing demand among its customers for MariaDB, which now has over two million users in 45 countries.

The new offering will provide additional options for how users can deploy and consume MariaDB. Companies can leverage the AWS MariaDB offering for cloud-based managed database services or for building hybrid cloud/premises architectures for cloud bursting and disaster recovery. Look for additional announcements from MariaDB in the near future about cloud based deployment options that can further enable these architectures.

For companies choosing to leverage the AWS service, MariaDB can provide help and support in areas such as:

• Optimized high-performance …

Complimenting the expanded CREATE USER syntax introduced in MySQL Server 5.7.6 is more useful ALTER USER syntax. Before MySQL Server 5.7.6, ALTER USER could only be used to expire a user’s password. That’s pretty limited. With changes made in MySQL Server 5.7.6, a better distinction is made between privilege-level attributes (those which are managed via GRANT and REVOKE statements) and account-level attributes (those managed using CREATE USER and ALTER USER statements).…