Continuent is very pleased and excited to announce that the new Tungsten Clustering 6.0 and Tungsten Replicator 6.0 are now available for download by our customers. The 6.0 release is the culmination of over a years work within our clustering product in order to improve the functionality and manageability of what we now call our ‘Multimaster Clustering’ solution. This is the replacement for what we called the multi-site, multi-master (MSMM) clustering functionality in earlier releases. The multimaster clustering allows for multiple clusters, in multiple locations, to be linked together into a single composite cluster. Because it’s a composite cluster, you gain all of the functionality that’s already available in a cluster, such as:

• High availability
• Failover
• Automated recovery
• Read-write split
• Maintenance without downtime

But it’s now applied to the …

In this blog, I will provide answers to the Q & A for the Performance Schema for MySQL Troubleshooting webinar.

First, I want to thank everybody for attending my March 1, 2018, webinar. The recording and slides for the webinar are available here. Below is the list of your questions that I was unable to answer fully during the webinar.

Q: Is Workbench able to take advantage of the enhancements to Perf schema?

A: MySQL Workbench is a graphical tool for database …

Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL® and MongoDB® performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL® and MongoDB® servers to ensure that your data works as efficiently as possible.

There are a number of significant updates in Percona Monitoring and Management 1.9.0 that we hope you will like, some of the key highlights include:

• Faster loading of the index page: We have enabled performance optimizations using gzip and HTTP2.
• AWS improvements: We have added metrics from CloudWatch RDS to 6 dashboards, as well as changed our AWS add instance workflow, and made …

Pretend you have a JSON array of data that looks roughly like the following.

mysql> insert into x(y) values('["a","b","c","d"]');
Query OK, 1 row affected (0.10 sec)

You could get all the values from that array using $[*]

mysql> select y->"$[*]" from x;
+----------------------+
| y->"$[*]"            |
+----------------------+
| ["a", "b", "c", "d"] |
+----------------------+
1 row in set (0.00 sec)

Or the individual members of the array with an index that starts with zero.

mysql> select y->"$[0]" from x;
+-----------+
| y->"$[0]" |
+-----------+
| "a"       |
+-----------+
1 row in set (0.00 sec)

But what about the times you want the last item in the array and really do not want to loop through all the items? How about using …

We are happy to announce a list of events which we - MySQL &/or MySQL Community Team - are attending and speaking at during the period of time of April to June 2018. Please be aware that the list does not have to be final, during the time more events could be added or some of them removed. 

April 2018:

• PHP Yorkshire, Yorkshire, UK, April 13-Workshop, April 14-Conference, 2018

  • Same as last year we are sponsoring and attending this conference as Silver sponsor. You can find us at MySQL booth in expo area.
• Darkmira PHP Tour, Brasilia/DF, April 14-15, 2018
  • Do not miss the Keynote given by Sheeri K. Cabral, who is the leader of MySQL Community.  Sheeri will …

In this blog post, we’ll compare the performance of pattern matching queries vs. full-text indexes.

In my previous blog post, I looked for a solution on how we can search only a part of the email address and how can we make faster queries where the condition is email LIKE '%n.pierre%'. I showed two possible ways that could work. Of course, they had some pros and cons as well but were more efficient and faster than a like '%n.prierre%'.

But you could also ask why I would bother with this? Let’s add a FULLTEXT index, and everybody is happy! Are you sure about that? I’m not. Let’s investigate and test a bit. (We have some nice blog posts that explain how FULLTEXT …

In order to spot database misuse and/or to prove compliance to popular regulations including GDPR, PCI DSS, HIPAA, ... database administrators can be required to record and audit database activities. In this fifth episode of the MySQL Security series, we will see what MySQL Enterprise Audit provide to help organizations implement stronger security controls and satisfy regulatory compliance.

Over the last years a lot of research has been done on choosing the most efficient memory allocation library for MySQL and its impact on MySQL performance (InnoDB kernel_mutex Contention and Memory Allocators, Impact of memory allocators on MySQL performance, TCMalloc and MySQL, MySQL performance: Impact of memory allocators (Part 2), Concurrent large allocations: glibc malloc, jemalloc and …

And the results are in:


Innodb (no compression/original) - 660Gb
RocksDB - 209Gb
TokuDB (snappy) - 144Gb
TokuDB (LZMA) - 67Gb


Benchmark performance with mysqlslap on production sample queries :
(8-9 Very quick SELECTs + 1-2 medium SELECTs)

Innodb (original)
Benchmark
Avg: 0.100 seconds
Min: 0.091 seconds
Max: 0.182 seconds
Total: 5.101s

TokuDB (snappy)
Benchmark
Avg: 0.100 seconds
Min: 0.089 seconds
Max: 0.183 seconds
Total: 5.106s

RocksDB
Benchmark
Avg: 0.113 seconds
Min: 0.104 seconds
Max: 0.164 seconds
Total: 5.730s

TokuDB (LZMA)
Benchmark
Avg: 0.099 seconds
Min: 0.090 seconds
Max: 0.155 seconds
Total: …

In this post, we'll look at how to implement ProxySQL with AWS Aurora. Recently, there have been a few discussions and customer requests that focused on AWS Aurora and how to make the various architectures and solutions more flexible. Flexible how, you may ask? Well, there are the usual expectations:

• How do you improve resource utilization?
• How I can filter (or block) things?
• Can I shard with Aurora?
• What is the best way to implement query caching?
• … and more.

The inclusion of ProxySQL solves many of the points above. We in Consulting design the solutions for our customers by applying the different functionalities to better match customers needs. Whenever we deal with Aurora, we've had …