#DBHangOps 06/26/14 -- PERFORMANCE_SCHEMA in MySQL 5.7 and more!

Check out the recording below!

Hello everybody!

Join in #DBHangOps this Thursday, June, 26, 2014 at 11:00am pacific (18:00 GMT), to participate in the discussion about:

• MySQL 5.7 Semi-sync replication (Morgan Tocker)

• MySQL 5.7 PERFORMANCE_SCHEMA (from Mark Leith!)

  • New instruments
  • How to use the instruments
  • Open questions!
• Any other MySQL 5.7 discussion!

Be sure to check out the #DBHangOps twitter search, the @DBHangOps twitter feed, or this blog post to get a link for the google hangout on Thursday!

See all of you on Thursday!

MySQL Bugs On Dolphins, Panda's and Bugs

Like any good OpenSource project the MySQL Bugs website is open for anyone to search through. This ofcourse doesn't include the security bugs.

There is a second collection of bugs in the My Oracle Support and these bugs are only accesseble by customers with a support contract. Even when I have access to MOS I still prefer to use the community bugs site. For service requests etc. I would use MOS.

The openness of the bugs database is one of the topic the IOUG MySQL Council discusses with Oracle.

The bugs database has more to offer than just information about initial bugs:

• Bugs Statistics: This has a big matrix with …

On the company blog I published a post about our experience with Ansible today.

It is no shoot out between different automation tools, but rather a collection of Ansible basics and our experience with it so far. Soon another post will follow about dynamically generated inventories for OpenStack virtual environments.

You can find it here: codecentric blog: Ansible: Simple, yet powerful automation.

During last April’s Percona Live MySQL Conference and Expo, TokuDB celebrated it’s first full-year as an open source storage engine. I still remember reading the official announcement and the expectations it created one year ago. The premises were very interesting as it had the potential of helping MySQL manage “big data” in a way InnoDB just couldn’t. It also provided additional interesting features like “hot schema changes,” all the while making our dear flash storages last longer.

While I’ve kept an eye on the evolution of TokuDB this past year, I reckon I haven’t given it a try…. until recently, when a …

InnoDB has proven to be a reliable data storage engine for modern, high concurrency database systems. It is fully ACID compliant, and supports a wide range of isolation modes, from READ-UNCOMMITEED to SERIALIZABLE.

InnoDB multiversion concurrency control (MVCC) enables records and tables to be updated without the overhead associated with row-level locking mechanisms. The MVCC implementation in InnoDB largely eliminates the need to lock tables or rows during updates, and enables good performance for high concurrency workloads.

To learn more about this subject and related performance tuning topics tuning, take the MySQL Performance Tuning training course. This 4-day, instructor-led course is available as:

…

The MySQL wire protocol includes useful result data and metadata, such as warnings and errors raised by the query. These often indicate bugs that will cause problems you may not discover for a long time, when the cleanup can be costly and damaging.

A quick background. If you're not familiar with how this works, the server collects warnings from queries and stores them as part of your connection state. Warnings can be raised at many points during query execution, including while processing rows. Warnings aren't part of the result, but there's a set of metadata in the EOF packet that says how many warnings were raised. Errors, on the other hand, are the response from the server.

The problem is, these errors and warnings can go undiscovered all too easily. This should be a concern to everyone: devs because they don't know what their code is really doing, ops/DBA because they bear the burden of discovering and diagnosing such …

Section 5: "Prepare Eclipse for profiling" 5.1 INTRODUCTION

In this part we will prepare Eclipse to profile our recently compiled(see Part 3) MariaDB(or MySQL).
Profiling means basically measuring where the time is spent by the application.
You may be interested in knowing how much time is spent in a specific function execution,
or you may want to know statistics about the dustribution of function calls, that is operating a data aggregation.

read more

Well, every now and then, when we began to start a new project or app, which has some data storage requirement, we have a deep intriguing thought as to how best represent the data structure so as to support a variety of needs including but not limited to (ACID rules):

1. Normalization
2. Reliability
3. Consistency
4. And many others

Below, I provide a set of steps which you can follow to arrive at a data model that correctly suites your requirements.

Steps:

1. Identify the project or app requirements / specifications and business rules which tell you what your app will be able to do when it is ready.
2. From these business rules, identify possible objects for each business rule and mark them in a paper using rectangular sections like authors, posts etc.
3. Once you have recognized the …

Well, currently I am into the third week of mongodb node course "M101JS: MongoDB for Node.js Developers" and I am pretty enjoying it.

Lots of personal learning into node and mongodb.

The third week subject of "Patterns, Case Studies & Tradeoffs" is really interesting.

Here is a list of topics, I learned about:
- Mongodb rich documents concept.
- Mongodb schema use cases.
- Mongodb one:one, one:many, many:many use cases.
- How to select schema based on the usage like whether you want max performance
  or it may be a tradeoff.

One important point, I learned during the course is:
"While relational databases usually go for the normalised 3rd form so that data usage is agnostic to application, but mongodb schema arrangement is very closely related to application usage and varies accordingly."

If you would like to see how to set up autocomplete and correction suggestion with Sphinx, PHP, MySQL, and jQuery, take a look at this. This quick video will walk you through the steps of setting up the autocomplete example that we wrote about a while ago. For details on how the whole process works, go [...]