Key Notes
It was simply amazing for me as ex-MySQL AB to be at the conference today.
I was really emoted seeing so much people most of the ones I know, all together again.
The spirit was again the right one, with the will to say WE ARE HERE!
Impressive, and I am happy to say once more, “I was there”.
I am not going to comment the keynote speeches, but want to share the Baron message.
We are here to share, and help each other to make better, help each other to go beyond our current limit.
The spirit was the right one, the people there probably the most smart in the field, so why not.
I have only one world AMAZING.
Topic: Measuring Scalability and Performance With TCP
What if you had all the data you needed to measure system performance
and scalability at any tier, discover performance and stability
problems before they happen, and plan for capacity and performance by
modeling the system's behavior at greater load than you currently have?
Now it is as easy as running tcpdump and processing the result with a
tool. In this two-part talk you will first learn how to do black-box
performance analysis to discover hidden problems in your systems. In
the second part you will learn about mathematical performance and
scalability models, how the inputs can be computed from TCP packet
headers, and how to derive and interpret the results with free tools
from Percona Toolkit.
Speaker:Baron
Comment:
Good Talk, as we are now used to get from Baron, also if the topic was touched on the Percona Live event, Baron had review and refine the slides, which are now much more clear.
The proposed method for the quick analysis of the performance using TCP dump is simple and efficient.
Honesty we do use it already but Baron add the scientific notations that makes an empiric measurement more objective.
Specially in regards to the immediate issue identification and the concurrency calculation. On this specific topic I still need to digest/elaborate.
Like the formula for the concurrency:
GOOD reading:
Neil J. Gunther's book
? Guerrilla Capacity Planning
Topic: Hibernate and Connector/J Tuning
Many Java developers using MySQL as a data backend rely on Hibernate to bridge their OO designs with the relational database world.
This talk will review Hibernate and some of it's related projects, with a focus on performance.
We will also cover performance related considerations about Connector/J, discussing settings and usage scenarios that will be useful even for Java developers not using Hibernate.
Comment:
I did attend this talk, hoping in something more and less.
More focus on Hibernate possible problems, that we find every day because customers have no idea how to use Hibernate.
Less because it was going too much in details of few Select, and was too fast in describing the solutions.
Anyhow, given my huge background in programming, I was not really enlighten by the information, and was able to follow the flow the information, which are base on good sense in using the standard feature and definitions in Hibernate, regarding the Lazy load of the collections, and the way SELECT … JOIN(s) needs to be done.
Finally a good review of what the MySQL JDBC can really do, which is not common given the most of the user just
Topic:Build simple and complex replication clusters with Tungsten Replicator
Tired of the intricacies of circular replication? Dreaming of real multiple masters solutions for MySQL replication?
Dream no more. Tungsten Replicator, a free and open source replacement for MySQL replication,
can build clusters of asynchronous nodes in a matter of minutes.
This workshop will explain the basics of Tungsten Replicator, and it will show how to start your multiple master cluster in a few minutes.
There will be examples of several topologies: from the simplest bi-directional replication to the ambitious all-to-all (every node is a master),
fan-in (multiple masters to a single slave), the star (a central hub connected to several bi-directional masters).
Comment:
Mysql 5.6 is going to be GA soon, probably at the end of September, by then most product that use customize replication solutions will be obsolete, but not the replicator.
Continuent has develop a good solution for the multi master/multi master single slave solution that will remain valid in the time.
Also replicator offers MySQL -> Oracle replication, and Oracle -> MySQL replication.
It is going to be the perfect solution for many customers that will need to have scalable replication solution, and/or relation with Oracle databases.
The parallel replication is and will remain by schema, also no real mechanism to guarantee the data integrity between masters/slave given the checksum will be calculated on the command and not on the data.
Installation was facilitated a lot with the replicator installer.
Last but not least the product has already in place the possibility to support “FILTERS” develop in Java or JavaScript, this will allow the implementation of possible DATA transformation at replication level, which is a very important factor.
I was already discussing how this solution could solve several issue for some of our customers.
Topic:MySQL Optimizer Standoff MySQL 5.6 and MariaDB 5.3
Both MySQL 5.6 and MariaDB 5.3 introduced advanced game changing optimizer features.
In this presentation we will look in details and comparison on these changes as well as perform benchmarks to show which version is able to handle complex queries better.
If you're working with application using complex queries with MySQL this presentation is for you.
Comment:
This speech was some how a little bit strange.
From one side Peter presenting his results on the evolution on the optimizer, on the other side few of developers from MariaDB team discussing most of the result.
The most important point is and remain that the MySQL Optimizer, one of the most important element of the MySQL DB platform, is finally revisited from both sides MariaDB and Oracle MySQL.
Optimizer was revisited in full to be included in the MySQL 6.0. This MySQL version was never released, as consequences all the improvements done so far on the Optimizer, where forgotten and leave aside the release delivery.
Optimizer is the core of any DB platform, it mainly decide how to physically access the data, reading the SQL statements, and translating it in to action plan against Indexes, and table(s) reads. The optimizer goes for lower cost not for execution time, to do so the optimizer use statistics, if a DBA do not collect accurate statistics the optimizer will not be able to identify an efficient action plan. Is a fact that changes to the optimizer are always scaring, giving they can overturn successful SQL statements in very bad SQL statement.
The MySQL optimizer still has serious limitations like not using prepare statement to execute the queries, such that any query will invoke/involve the optimizer.
From the many improvements done both side, Maria DB and MySQL 5.6 are very much more efficient then 5.5, of an order of 5.5. 900 sec 5.6 maria 180 sec.
Not only in many cases MariaDB is much more efficient then MySQL 5.6
Speaker: Peter Zaitsev