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Percona Server for MySQL 5.6.41-84.1 Is Now Available

Percona announces the release of Percona Server for MySQL 5.6.41-84.1 on August 17, 2018 (downloads are available here and from the Percona Software Repositories). This release merges changes of MySQL 5.6.41, including all the bug fixes in it. Percona Server for MySQL 5.6.41-84.1 is now the current GA release in the 5.6 series. All of Percona’s software is open-source and free.

Bugs Fixed

  • A simple SELECT query on a table with CHARSET=euckr COLLATE=euckr_bin could return different results each time it was executed. Bug fixed  …
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Percona Server for MySQL 5.5.61-38.13 Is Now Available

Percona announces the release of Percona Server for MySQL 5.5.61-38.13 on August 17, 2018 (downloads are available here and from the Percona Software Repositories). This release merges changes of MySQL 5.5.61, including all the bug fixes in it. Percona Server for MySQL 5.5.61-38.13 is now the current GA release in the 5.5 series. All of Percona’s software is open-source and free.

Bugs Fixed

  • The --innodb-optimize-keys option of the mysqldump utility fails when a column name is used as a prefix of a …
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MySQL Connector/J 5.1.47 GA has been released

Dear MySQL Users,

MySQL Connector/J 5.1.47, a maintenance release of the production 5.1
branch has been released. Connector/J is the Type-IV pure-Java JDBC
driver for MySQL.

MySQL Connector/J is available in source and binary form from the
Connector/J download pages at
http://dev.mysql.com/downloads/connector/j/5.1.html
and mirror sites as well as Maven-2 repositories.

MySQL Connector/J (Commercial) is already available for download on
the My Oracle Support (MOS) website. This release will shortly be
available on eDelivery (OSDC).

As always, we recommend that you check the “CHANGES” file in the
download archive to be aware of changes in behavior that might affect
your application.

MySQL Connector/J 5.1.47 includes the following general bug fixes and …

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Replication from Percona Server for MySQL to PostgreSQL using pg_chameleon

Replication is one of the well-known features that allows us to build an identical copy of a database. It is supported in almost every RDBMS. The advantages of replication may be huge, especially HA (High Availability) and load balancing. But what if we need to build replication between 2 heterogeneous databases like MySQL and PostgreSQL? Can we continuously replicate changes from a MySQL database to a PostgreSQL database? The answer to this question is pg_chameleon.

For replicating continuous changes, pg_chameleon uses the mysql-replication library to pull the row images from MySQL, which are transformed into a jsonb object. A pl/pgsql function in postgres decodes the jsonb and replays the changes into the postgres database. In order to setup this type of replication, your mysql binlog_format must be “ROW”.

A few points you should know before setting up this …

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Rationale for MySQL Cluster

Second chapter of "MySQL Cluster 7.5 inside and out".

When I started developing the ideas for NDB Cluster in my Ph.D studies
about 25 years ago, the first thing I did was to perform a very thorough
study of the requirements.

At that time I participated in a European Research for UMTS. UMTS was
later marketed as 3G. My part of this big study group of more than 100
researchers was to simulate the network behaviour. We used the
protocols developed by other groups to see what the load would be on
the various nodes in the telecom network.

I was mostly interested in the load it contributed to the network databases.
Through these studies and also by studying the AXE system developed
in Ericsson I got a very good picture of the …

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This Week in Data with Colin Charles 49: MongoDB Conference Opportunities and Serverless Aurora MySQL

Join Percona Chief Evangelist Colin Charles as he covers happenings, gives pointers and provides musings on the open source database community.

Beyond the MongoDB content that will be at Percona Live Europe 2018, there is also a bit of an agenda for MongoDB Europe 2018, happening on November 8 in London—a day after Percona Live in Frankfurt. I expect you’ll see a diverse set of MongoDB content at Percona Live.

The Percona Live Europe Call for Papers closes TODAY! (Friday August 17, 2018)

From Amazon, there have been some good MySQL changes. You now have access to …

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What is special with MySQL Cluster

The first chapter from the book "MySQL Cluster 7.5 inside and out".
This chapter presents a number of key features that makes NDB
unique.

MySQL on Docker: How to Monitor MySQL Containers with Prometheus - Part 1 - Deployment on Standalone and Swarm

Monitoring is a concern for containers, as the infrastructure is dynamic. Containers can be routinely created and destroyed, and are ephemeral. So how do you keep track of your MySQL instances running on Docker?

As with any software component, there are many options out there that can be used. We’ll look at Prometheus as a solution built for distributed infrastructure, and works very well with Docker.

This is a two-part blog. In this part 1 blog, we are going to cover the deployment aspect of our MySQL containers with Prometheus and its components, running as standalone Docker containers and Docker Swarm services. In part 2, we will look at the important metrics to monitor from our MySQL containers, as well as integration with the paging and notification systems.

Introduction to Prometheus

Prometheus is a full monitoring and trending system that includes built-in and active scraping, storing, querying, graphing, …

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MySQL Shell: Using External Python Modules

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MySQL Shell is a great tool for working with MySQL. One of the features that make it stand out compared to the traditional mysql command-line client is the support for JavaScript and Python in addition to SQL statements. This allows you to write code you otherwise would have had to write outside the client. I showed a simple example of this in my post about the instant ALTER TABLE feature in MySQL 8.0.12 where a Python loop was used to populate a table with 1 million rows This blog will look further into the use of Python and more specifically external modules.

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Hibernate database catalog multitenancy

Introduction As I explained in this article, multitenancy is an architectural pattern which allows you to isolate customers even if they are using the same hardware or software components. There are multiple ways you can achieve multitenancy, and in this article, we are going to see how you can implement a multitenancy architecture using the … Continue reading Hibernate database catalog multitenancy →

The post Hibernate database catalog multitenancy appeared first on Vlad Mihalcea.

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