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Using MySQL 5.7 Generated Columns to Avoid ERROR 1070

When I first blogged about a potential workaround for MySQL error 1070, I received a suggestion in the comments that my workaround might be a useful trick with MariaDB virtual columns or MySQL 5.7 generated columns. Although I've already blogged about a simplified version of my original workaround, the arrival of the MySQL 5.7.7 release candidate inspired me to try an even simpler implementation using generated columns.

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Change binary log and relay log location to /home? SELinux issue

Recently in my slave server there was a full disk error because of the huge size of binary logs.Which is lead to critical error and BUG report which is still stays as open:

http://bugs.mysql.com/bug.php?id=72437

So the issue was a partition problem which in partitioning stage haven’t been specified for “/” (root) filesystem. But in “/home” there were left enough space.
The quick decision was to change binary and relay log location(path) to “/home”.
But there was a great challenge to get real working slave again.

Now we will explore all steps in our test virtual machine.
Test conditions for me:

1. CentOS 6.5 (x86_64) (both master and slave)
2. MySQL 5.6.19 GA (from official yum repo) (both master and slave)

Master my.cnf:

# BINARY LOGGING #
server_id                      = …
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Shinguz: Logging Galera Cluster conflicts

Taxonomy upgrade extras: logginggaleraclusterconflictdeadlockerror logerror

We typically suggest our customers to use our MySQL/Galera Cluster my.cnf configuration template to avoid MySQL configuration and performance problems.

And we are paranoid as well. Thus we enable all useful logging:

wsrep_log_conflicts = 1


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Ruby-MySQL Program

After you install Ruby and build the Rails framework, you need to create the mysql gem. This blog post shows you how to create the mysql gem and how to write a simple Ruby program that queries the MySQL database.

The first step creates the mysql gem for Ruby programming:

yum install mysql

It should show you the following:

Fetching: mysql-2.9.1.gem (100%)
Building native extensions.  This could take a while...
Successfully installed mysql-2.9.1
Parsing documentation for mysql-2.9.1
Installing ri documentation for mysql-2.9.1
Done installing documentation for mysql after 0 seconds
1 gem installed

After you install the mysql Ruby Gem, you can write and …

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JSON Labs Release: JSON Functions, Part 1 — Manipulation JSON Data

The MySQL 5.7.7 JSON Lab release introduces a native JSON datatype. See Knut Anders Hatlen’s blog post for more details on this new datatype. In this release we also introduced a number of functions for creating and querying JSON documents. In this post we’ll explore the following new functions related to manipulating JSON documents:

  • jsn_array()
  • jsn_object()
  • jsn_insert()
  • jsn_remove()
  • jsn_set()
  • jsn_replace()
  • jsn_append()
  • jsn_merge()
  • jsn_extract()

Dag Wanvik’s follow up blog …

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The MySQL SYS Schema in MySQL 5.7.7

New in MySQL 5.7.7, the MySQL sys schema (originally the ps_helper project) is now included by default within the MySQL server!

For those unfamiliar with the sys schema project, it is a database schema with a set of objects (views, stored procedures, stored functions, and table with a couple of triggers on it) that were implemented to give easy, human readable, DBA and Developer based use case access to the wealth of instrumentation data implemented primarily within Performance Schema, but also with various …

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Learn to stop using shiny new things and love MySQL

A good portion of the startups I meet and advise want to use the newest, hottest technology to build something that’s cool, but not technologically groundbreaking. I have yet to meet a startup building a time machine, teleporter or quantum social network that would actually require some amazing new tech. They have awesome new ideas with down-to-earth technical requirements, so I kept wondering why they choose this shiny (and risky) new stuff when all they need is a good ol’ trustworthy database. I think it’s because many assume that building the latest and greatest needs the latest and greatest!

It turns out that’s only one of three bad reasons (traps) why people go for the shiny and new. Reason two is people mistakenly assume older stuff is slow, not feature rich or won’t scale. “MySQL is sluggish,” they say. “Java is slow,” I’ve heard. “Python won’t scale,” they claim. None of it’s true.

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Improved ALTER USER syntax support in 5.7

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).  MySQL has a long history of confusing these – for example, requiring a GRANT

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Install Ruby on Fedora

I use a Fedora 20 VM image to teach Oracle and MySQL technology. Last week, I expanded the Fedora VM image to support a full LAMP stack. This blog shows you how to install Ruby on Fedora and successfully generate the Rails gems.

Connect as the root user and use yum to install the libraries. My approach is by library or small groups. Naturally, you start with the ruby library.

yum install ruby

You will see the following:

Loaded plugins: langpacks, refresh-packagekit
mysql-connectors-community                                  | 2.5 kB  00:00     
mysql-tools-community                                       | 2.5 kB  00:00     
mysql56-community                                           | 2.5 kB  00:00     
pgdg93                                                      | 3.6 kB  00:00     
updates/20/x86_64/metalink …
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InnoDB locks and deadlocks with or without index for different isolation level

Recently, I was working on one of the issue related to locks and deadlocks with InnoDB tables and I found very interesting details about how InnoDB locks and deadlocks works with or without index for different Isolation levels.

Here, I would like to describe a small test case about how SELECT ..FOR UPDATE (with and without limit) behave with INSERT/UPDATE and with READ-COMMITED and REPEATABLE-READ Isolation levels. I’m creating a small table data_col with few records. Initially, this test case was written by Bill Karwin to explain details to customer, but here I have used a bit modified test case.

CREATE TABLE data_col (dataname VARCHAR(10), period INT, expires DATE, host VARCHAR(10));

INSERT INTO data_col VALUES (‘med1′, …

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