Dear MySQL users,

The MySQL developer tools team announces 6.3.8 as our GA release for
MySQL Workbench 6.3.

For the full list of changes in this revision, visit
http://dev.mysql.com/doc/relnotes/workbench/en/changes-6-3.html

For discussion, join the MySQL Workbench Forums:
http://forums.mysql.com/index.php?152

Download MySQL Workbench 6.3.8 GA now, for Windows, Mac OS X 10.9+,
Oracle Linux 6 and 7, Fedora 23 and Fedora 24, Ubuntu 16.04
or sources, from:

http://dev.mysql.com/downloads/tools/workbench/

With the added complexity of growing data volumes and ever changing workloads, database performance tuning is now necessary to maximize resource utilizations and system performance. However, performance tuning is often easier said than done.

Let’s face it, tuning is difficult for a number of reasons. For one thing, it requires a significant amount of expertise in order to understand execution plans, and often update or re-write good SQL. On top of that, tuning is usually very time consuming. There will always be a large volume of SQL statements to sort through, which may lead to uncertainty around which specific statement needs tuning; and given every statement is different, so too is the tuning approach.

As data volumes grow and technology becomes increasingly complex, it is becoming more important to tune databases properly to deliver end-user experience and to lower infrastructure costs. Performance tuning can help database …

“Isn’t it ironic that in 2016 a non-skilled user can find a web page from Google’s untold petabytes of data in millisecond time, but a highly trained SQL expert can’t do the same thing in a relational database one billionth the size?.–Jim Starkey.

I have interviewed Jim Starkey. A database legend, Jim’s career as an entrepreneur, architect, and innovator spans more than three decades of database history.

RVZ

Q1. In your opinion, what are the most significant advances in databases in the last few years?

Jim Starkey: I’d have to say the “atom programming model” where a database is layered on a substrate of peer-to-peer replicating distributed objects rather than disk files. The atom programming model enables scalability, redundancy, high availability, and distribution not available in traditional, disk-based database …

I just created the Budapest MySQL Meetup group. I hope there will be interest for that, the first event is under organising.  Check it if you are near Budapest!   Share This:

“Complicated queries, like looking for second degree friends, is really hard to traditional databases.” –Dong Bin

I have interviewed Dong Bin, Engineer Manager at LinkedIn China. The LinkedIn China development team launched a new social platform — known as Chitu — to attract a meaningful segment of the Chinese professional networking market.

RVZ

Q1. What is your role at LinkedIn China?

Dong Bin: I am an Engineer Manager in charge of the backend services for Chitu. The backend includes all Chitu`s consumer based features, like feeds, chat, event, etc.

Q2. You recently launched a new social platform, called Chitu. Which segment of the …

Faceted search or faceted navigation is a highly praised and widely use search pattern. And, it is a great reply to an off the records sales engineering question. MySQL finally has some document store features built-in. A bit of a yawn in 2016. There is a new X DevAPI available with some Connectors. A bit of a yawn technically. But it is a non-technical change of mind: developer centric counts! Sales, all, technical value could show at non-trivial developer tasks, like faceted search.

Todays X DevAPI does not get you very far

There are great stories to tell about the X …

Dear MySQL users,

The MySQL developer tools team announces 6.3.7 as our GA release for
MySQL Workbench 6.3.

For the full list of changes in this revision, visit
http://dev.mysql.com/doc/relnotes/workbench/en/changes-6-3.html

For discussion, join the MySQL Workbench Forums:
http://forums.mysql.com/index.php?152

Download MySQL Workbench 6.3.7 GA now, for Windows, Mac OS X 10.9+,
Oracle Linux 6 and 7, Fedora 23 and Fedora 24, Ubuntu 16.04
or sources, from:

http://dev.mysql.com/downloads/tools/workbench/

This year at Etsy, we spun up a “Database Working Group” that talks about all things data. It’s made up of members from many teams: DBA, core development, development tools and data engineering (Hadoop/Vertica). At our last two meetings, we started talking about how many “sources of information” we have in our environment. I hesitate to call them “sources of truth” because in many cases, we just report information to them, not action data based on them. We spent a session whiteboarding all of of these sources and drawing the relationships between them. It was a bit overwhelming to actually visualize the madness.

A few examples:

• We use Chef for configuration management and Chef knows about all database server. It made sense for us to build out our monitoring to generate Nagios configuration based on that data from Chef. When …

If you remove a file, file system generally just marks in its metadata that previously occupied blocks can now be used for other files – that operation is usually cheap, unless the file has millions of segments (that is such a rare case, only seen in experimental InnoDB features that Oracle thought was a good idea).

This changes a bit with SSDs – if you update underlying device metadata, it can have smarter compaction / grooming / garbage collection underneath. Linux file systems have ‘discard’ option that one should use on top of SSDs – that will extend the life time of their storage quite a bit by TRIM’ing underlying blocks.

Now, each type of storage device will react differently to that, some of them support large TRIM commands, some of them will support high rate of them, some of them won’t, etc – so one has to take that into account when removing files in production environments.

Currently Linux block …

“Leading enterprises have a firm grasp of the technology edge that’s relevant to them. Better data analysis and disambiguation through semantics is central to how they gain competitive advantage today.”–Alan Morrison.

I have interviewed Alan Morrison, senior research fellow at PwC, Center for Technology and Innovation.
Main topic of the interview is how the Big Data market is evolving.

RVZ

Q1. How do you see the Big Data market evolving? 

Alan Morrison: We should note first of all how true Big Data and analytics methods emerged and what has been disruptive. Over the course of a decade, web companies have donated IP and millions of lines of code that serves as the foundation for what’s being built on top.  In the …