The first preview  release of MySQL Group Replication, a MySQL plugin that brings multi-master update everywhere to MySQL, is available on labs. This plugin ties together concepts and technologies from distributed systems, such as group communication, with traditional database replication. The ultimate result is a seamlessly distributed and replicated database over a set of MySQL servers cooperating together to keep the replicated state strongly consistent.

Introduction

Before diving into the details of MySQL Group Replication, lets first introduce some background concepts and an overview of how things work. These will provide some context to help understand what this is all about and what are the differences between traditional MySQL replication and the one implemented in this new plugin.

…

Both MySQL Connector/Python 2.0.1 and 1.2.3 are now available through the Python Package Index or PyPI. Leaving the previous version available is probably a good idea as you can always go back if needed.

Note that we still have no files hosted at PyPI.

Both MySQL Connector/Python 2.0.1 and 1.2.3 are now available through the Python Package Index or PyPI. Leaving the previous version available is probably a good idea as you can always go back if needed.

Note that we still have no files hosted at PyPI.

In a previous blog post we presented some of the issues with the current optimizer cost model and listed several ideas for improvements. The new 5.7.5 DMR contains the result of our initial work on improving the optimizer’s cost model:

• Cost Model for WHERE Conditions. In previous versions of MySQL, the estimated number of rows from a table that will be joined with the next table only takes into account the conditions used by the access method. This often led to record estimates that were far too high and thus to a very wrong cost estimate for the join. With wrong cost estimates, the join optimizer might not find and choose the best join order. To solve this issue, a cost model that includes the …

Indeed, MySQL 5.7 rocks ;-)

This is the part1 of the following blog posts about various benchmark results on MySQL 5.7 - and this particular one is dedicated to the Sysbench OLTP_RO Point-Select 8-tables workload.

We've already published the over 500K QPS on SQL Point-Selects before @32cores-HT server, so may reconfirm it again with MySQL 5.7 DMR5 -vs- other engines :


and now on a similar server, but with 40cores-HT we're able to confirm 645 QPS on the same workload!

If you missed the long story about how we arrived on such a performance level and how to reproduce the test - you may find all here. This workload is the most killing from all Read-Only Sysbench OLTP tests.. And it's really for the first time we started to scale here with MySQL! …

In this third installment in this series, I'll explain why the smart solution I described in the previous post actually wasn't that good, and then I go on to explain how to fix it, and why that fix wasn't such a smart thing after all. So, this was the design we ended with last time:
We have Oracle replicating to a Materialized View, this to ensure that we can run triggers when the is a commit, and then triggers on this Materialized View updates MariaDB by sending a UDP message to a server that in turn is connected to MariaDB.

The issue with the above thingy was that a Materialized View by default is refreshed in it's entirety when there is a refresh, so if the table has 10.000 rows and 1 …

Business Wire  Oracle Open World 2014, Booth # 430- Continuent, Inc., a leading provider of open source database clustering and replication solutions, today announced Continuent Tungsten 3.0, a powerful solution that combines advanced clustering and replication technologies to meet the transaction processing and analytic needs of the entire business. Continuent Tungsten 3.0 enables constant,

We have relocated the MySQL Connector/Python repository on GitHub to the following location:

https://github.com/mysql/mysql-connector-python

The old location will redirect to the above URL.

No, we have not updated the README.txt or made something special for GitHub. I personally don’t mind what is currently showing on GitHub: it is readable, and it is correct. I still hope GitHub will make it easier to show something else, like asking which document to display and as what format.

We have relocated the MySQL Connector/Python repository on GitHub to the following location:

https://github.com/mysql/mysql-connector-python

The old location will redirect to the above URL.

No, we have not updated the README.txt or made something special for GitHub. I personally don’t mind what is currently showing on GitHub: it is readable, and it is correct. I still hope GitHub will make it easier to show something else, like asking which document to display and as what format.

The theme for this series of posts is, and indicated in the previous post, "Try and try, again", and there will be more of this now when I start to make this work by playing with Oracle, with PL/SQL and with the restrictions of Oracle Express (which is the version I have available).

So, what we have right now is a way of "sending" SQL statements from Oracle to MariaDB, the question is when and how to send them from Oracle. The idea for this was then to use triggers on the Oracle tables to send the data to MariaDB, like this, assuming we are trying to replicate the orders table from Oracle to MariaDB:
In Oracle, and assuming that the extproc I have that created to send UDP …