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Displaying posts with tag: TokuDB (reset)
Percona Server 5.6.17-66.0 is now available

 

Percona is glad to announce the release of Percona Server 5.6.17-66.0 on June 11, 2014. Downloads are available here and from the Percona Software Repositories.

Based on MySQL 5.6.17, including all the bug fixes in it, Percona Server 5.6.17-66.0 is the current GA release in the Percona Server 5.6 series. All of Percona’s software is open-source and free, all the details of …

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Understanding the Performance Characteristics of Partitioned Collections

In TokuMX 1.5 that is right around the corner, the big feature will be partitioned collections. This feature is similar to partitioned tables in Oracle, MySQL, SQL Server, and Postgres. A question many have is “why should I use partitioned tables?” In short, it’s complicated. The answer depends on your workload, your schema, and your database of choice. For example, this Oracle related post states “Anyone with un-partitioned databases over 500 gigabytes is courting disaster.” That’s not true for TokuDB or TokuMX. Nevertheless, partitioned tables are valuable; it’s why we …

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MariaDB 10.0.11 Overview and Highlights

MariaDB 10.0.11 was recently released, and is available for download here:

https://downloads.mariadb.org/mariadb/10.0.11/

This is the second GA release of MariaDB 10.0, and 12th overall release of MariaDB 10.0.

This is primarily a bug-fix release.

Here are the main items of note:

  1. Updated TokuDB engine to version 7.1.6
  2. Updated Spider storage engine to version 3.2 (now Gamma)
  3. Updated XtraDB storage engine to version 5.6.17-65.0
  4. Updated InnoDB storage engine to version 5.6.17
  5. Updated …
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MariaDB 10: Zoom in on table statistics

I – Table Statistics – Why?

When you execute a SQL query that uses an index, creates a join, or another complex operation, MySQL will read the statistics linked to these tables, which will allows it to chose the optimal plan of execution.
For InnoDB for example, this behaviour is controlled by innodb_stats_% type variables:

show variables LIKE 'Innodb_stats_%'; 
+--------------------------------------+-------------+
| Variable_name                        | Value       |
+--------------------------------------+-------------+
| innodb_stats_auto_recalc             | ON          |
| innodb_stats_method                  | nulls_equal |
| innodb_stats_on_metadata             | OFF         |
| innodb_stats_persistent              | ON          |
| innodb_stats_persistent_sample_pages | 20          |
| innodb_stats_sample_pages            | 8           |
| innodb_stats_transient_sample_pages  | 8           | …
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Thoughts on Small Datum – Part 3

Background: If you did not read my first blog post about why I am sharing my thoughts on the benchmarks published by Mark Callaghan on Small Datum you may want to skim through it now for a little context:Thoughts on Small Datum – Part 1”

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Last time, in Thoughts on Small Datum – Part 2 I shared my cliff notes and a graph on Mark Callaghan’s (@markcallaghan) March 11th insertion rate benchmarks using flash storage media. In those tests he compares MySQL outfitted with the …

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Maybe You Should Try Taking a Walk in My Shoes

The title of this post should really be, “Maybe He Should Try Taking a Walk in Your Shoes.”

The he I’m referring to is economist and author, Tim Harford. The you is the people who use NewSQL and NoSQL approaches to mine big data with database platforms like MySQL and MongoDB (or, preferably, our high-performance distributions of them, TokuDB and TokuMX).

Why should Mr. Harford take that walk? Well, he recently penned an article on big data in …

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Thoughts on Small Datum – Part 2

If you did not read my first blog post about Mark Callaghan’s (@markcallaghan) benchmarks as documented in his blog, Small Datum, you may want to skim through it now for a little context.

——————-

On March 11th, Mark, a former Google and now Facebook database guru, published an insertion rate benchmark comparing MySQL outfitted with the InnoDB storage engine with two NoSQL alternatives — basic MongoDB and …

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Percona Live 2014 Impressions

Three weeks ago I had the privilege of attending my first Percona Live MySQL conference, which was incredible! In particular, there were two things that I found impressive about the conference.

First, was the amount of knowledge sharing and support that MySQL users provide each other; it truly is a community. Coming from EMC, I’ve attended several conferences in the past, but I’ve always considered them more of a marketing focused event, mostly spent doing product launches and company roadmaps and not much time fostering knowledge sharing and informal get-togethers: Percona Live was different. There were well thought out tutorials, information packed presentations, and keynotes rife with practical knowledge culled from the real world. I had many great conversations at our booth with people that have evaluated TokuDB or TokuMX or were planning to as soon as they got back into the office. It was also great to see, and participate in, the …

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Thoughts on Small Datum – Part 1

A little background…

When I ventured into sales and marketing (I’m an engineer by education) I learned I would often have to interpret and simply summarize the business value that is sometimes hidden in benchmarks. Simply put, the people who approve the purchase of products like TokuDB® and TokuMX™ appreciate the executive summary.

Therefore, I plan to publish a multipart series here on TokuView where I will share my simple summaries and thoughts on business value for the benchmarks Mark Callaghan (@markcallaghan), a former Google and now Facebook database guru, is publishing on his blog, Small Datum.

I’m going to start with his first benchmark post and work my way forward to …

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How Tokutek uses the Random Query Generator framework to test TokuDB

During a typical release cycle for TokuDB at Tokutek, we spend time qualifying and hardening the product using numerous tools.  For example, we run stress and unit tests directly on the Fractal Tree indexes, MySQL Test Runner (MTR) tests on the storage engine as well as numerous performance benchmarks to prevent regressions. In addition, we have recently been implementing the Random Query Generator (RQG) framework internally here at Tokutek to more exhaustively stress TokuDB.  My name is Joel Epstein and I am a Quality Assurance Engineer here at Tokutek who has been integrating RQG into the overall test plan strategy.

At a high level, RQG is a …

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