As we already announced in the previous blog post from September 15, 2017 we (MySQL) are part of the very unique and special event in Australia, BuzzConf 2017. This is the first time MySQL Community team in cooperation with local Australian MySQL team is part of such event as BuzzConf is. Generally it's described in short as Conference / Festival, however it's really not only this... BuzzConf is a family-friendly technology festival with a really unique atmosphere. All participants and presenters are going to spend the weekend together in country of Victoria (Phoenix Park, Australia), learning and playing with tech during the day and being entertained by live music all night!

We are very happy that we can help organizers to run such event full of technologists, people with …

MySQL will have Windowing functions and CTEs which will mean it will be easier to do data analysis with MySQL. You can now make calculations on data from each row in a query plus rows related to that row. Windows will make it easier to group items when GROUP BY does not meet needs. This is a great breakthrough but the new documentation has a steep learning curve if you are starting from zero. Hopefully this and following blogs will make it easier to get started with Windowing Functions. OVER & WINDOW as a keywords Let's start with the world_x sample database. The sample below orders the city table by the CountryCode but notice the window w as (order by CountryCode) phrase. This sets up a group for analysis, or a window on the data. For this example we will get the row number, rank, and dense rank of the data in that group. So for CountryCode of ABW we get a row number of 1, rank of 1, and …

In my previous article about roles I said that one of the problems with role usage is that roles need to be activated before they kick in. Let's recap briefly what the problem is:

## new session, as user `root`

mysql [localhost] {root} ((none)) > create role viewer;
Query OK, 0 rows affected (0.01 sec)

mysql [localhost] {root} ((none)) > grant select on *.* to viewer;
Query OK, 0 rows affected (0.01 sec)

mysql [localhost] {root} ((none)) > create user see_it_all identified by 'msandbox';
Query OK, 0 rows affected (0.01 sec)

mysql [localhost] {root} ((none)) > grant viewer to see_it_all;
Query OK, 0 rows affected (0.01 sec)

## NEW session, as user `see_it_all`

mysql [localhost] {see_it_all} ((none)) > use test
ERROR 1044 (42000): Access denied for user 'see_it_all'@'%' to database 'test'

mysql [localhost] {see_it_all} ((none)) > show grants\G …

Percona announces the release of Percona XtraDB Cluster 5.7.19-29.22 on September 22, 2017. Binaries are available from the downloads section or our software repositories.

NOTE: You can also run Docker containers from the images in the Docker Hub repository.

Percona XtraDB Cluster 5.7.19-29.22 is now the current release, based on the following:

• …

We are pleased to announce that MySQL Enterprise Monitor 3.4.3 is now available for download on the My Oracle Support (MOS) web site. It will also be available for download via the Oracle Software Delivery Cloud in a few days. MySQL Enterprise Monitor is the best-in-class tool for monitoring and management of your MySQL assets and is included with your MySQL Enterprise Edition and MySQL Cluster Carrier Grade Edition subscriptions.

You can find more information on the contents of this release in the change log.

Highlights of MySQL Enterprise Monitor 3.4 include:

• The Replication Dashboard is extended to provide monitoring support for Group Replication, which was introduced in MySQL Server 5.7.17. The Topology view provides a visual representation of your group replication topologies, and the Status drill downs are …

We are pleased to announce that MySQL Enterprise Monitor 3.3.5 is now available for download on the My Oracle Support (MOS) web site. This is a maintenance release that includes a few new features and fixes a number of bugs. You can find more information on the contents of this release in the change log.

You will find binaries for the new release on My Oracle Support. Choose the "Patches & Updates" tab, and then choose the "Product or Family (Advanced Search)" side tab in the "Patch Search" portlet.

Important: MySQL Enterprise Monitor (MEM) 3.4 offers many significant improvements over MEM 3.3 and we highly recommend that you consider upgrading. More information on MEM 3.4 is available here:

• …

We are pleased to announce that MySQL Enterprise Monitor 3.2.9 is now available for download on the My Oracle Support (MOS) web site. This is a maintenance release that includes a few new features and fixes a number of bugs. You can find more information on the contents of this release in the change log.

You will find binaries for the new release on My Oracle Support. Choose the "Patches & Updates" tab, and then choose the "Product or Family (Advanced Search)" side tab in the "Patch Search" portlet.

Important: MySQL Enterprise Monitor (MEM) 3.4 offers many significant improvements over MEM 3.2 and MEM 3.3 and we highly recommend that you consider upgrading. More information on MEM 3.4 is available here:

• …

For most people (including me until recently) database XA transactions are a fuzzy concept. In over eight years with Percona, I have never had to deal with XA transactions. Then a few weeks ago I got two customers having issues with XA transactions. That deserves a post.

XA 101

What are XA transactions? XA transactions are useful when you need to coordinate a transaction between different systems. The simplest example could be simply two storage engines within MySQL. Basically, it follows this sequence:

1. XA START
2. Some SQL statements
3. XA END
4. XA PREPARE
5. XA COMMIT or ROLLBACK

Once prepared, the XA transaction survives a MySQL crash. Upon restart, you’ll see something like this in the MySQL error log:

2017-08-23T14:53:54.189068Z 0 [Note] …

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

Percona Live Europe Dublin

Are you affected by the Ryanair flight cancellations? Have you made alternative arrangements? Have you registered for the community dinner? Even speakers have to register, so this is a separate ticket cost! There will be fun lightning talks in addition to food and drink.

You are, of course, already registered for Percona Live Europe Dublin, …

subtitle: How to use awk to filter binlogs for specific tables

The task: Find out how many inserts were done to a set of tables over a period of time. Specifically avg inserts/min, avg inserts/hour, avg inserts/day, for the past week. Seems simple, right?

I was surprised that there was no good way to get what was done to a specific table, for data gathering AND forensic purposes!

These tables are be deleted from, so just using rows and timestamps is not valid. We have binary logs, which log when an insert was done. My first thought was to use pt-query-digest, since the tool has a “Tables” section in the output, so it already parses out which tables are in a query.

Sadly, tables is not an attribute I can --filter on, at least not in my version of pt-query-digest. (insert sad trombone here)