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Showing entries 1 to 10 of 163 10 Older Entries

Displaying posts with tag: Tokutek (reset)

Benchmarking Presentation at Percona Live London 2014
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In a few weeks I’m presenting “Performance Benchmarking: Tips, Tricks, and Lessons Learned” at Percona Live London 2014 (November 3-4). I continue to learn lessons and improve my benchmarking capabilities, so the content is a full upgrade from my presentation at Percona Live Santa Clara in April 2013. Anyone interested in achieving and sustaining the best performance out of their software/hardware/application should attend.

Also, Tokutek is sponsoring so we’ll be available in the expo hall throughout the

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TokuDB gotchas: slow INFORMATION_SCHEMA TABLES
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We are using Percona Server + TokuDB engine extensively in Percona Cloud Tools and getting real usage operational experience with this engine. So I want to share some findings we came across, in hope it may help someone in their work with TokuDB.

So, one problem I faced is that SELECT * FROM INFORMATION_SCHEMA.TABLES is quite slow when I have thousands tables in TokuDB. How slow? For example…

select * from information_schema.tables limit 1000;
...
1000 rows in set (18 min 31.93 sec)

This is very similar to what InnoDB faced a couple years back. InnoDB solved it by adding

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Getting to know TokuDB for MySQL
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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

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Thoughts on Small Datum – Part 3
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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 (http://www.mysql.com/"

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Interview with John Partridge, President & CEO of Tokutek, Inc.
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“As the database gets used, shards can grow at an uneven rate and one shard might carry a majority of the load. MongoDB corrects this by balancing shards, but because of MongoDB’s lack of concurrency this operation can stall the database unacceptably.”–John Partridge.

I have interviewed John Partridge, President & CEO of Tokutek, Inc.

RVZ

Q1. Tokutek recently announced to have eliminated performance issues of MongoDB sharding. What was the problem?

John Partridge: The problem occurs after a shard is created. As the database gets used, shards can grow at an uneven rate and one shard might carry a majority of the load. MongoDB corrects this by balancing

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MySQL related IRC discussion channels
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There are many MySQL related IRC discussion channels as the ecosystem itself grows. I join the following. Are there any that I’m missing?

Freenode (irc.freenode.net):

  • #mysql – main channel for all kinds of end user MySQL related discussions (the noisiest of the lot, naturally)
  • #maria – main channel for all kinds of MariaDB related discussions
  • #webscalesql – for all kinds of WebScaleSQL discussions
  • #percona – main channel for all kinds of Percona related discussions
  • #tokutek – main channel for Tokutek discussions (TokuDB or TokuMX)
  • SkySQL-specific channels: #maxscale and #mariadb-mgr

OFTC (irc.oftc.net):

  • #debian-mysql – for all kinds of Debian MySQL related bits (packaging, bugs, etc.)
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Maybe You Should Try Taking a Walk in My Shoes
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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 (http://www.mysql.com" target="_blank) and MongoDB (or, preferably, our high-performance distributions of them, TokuDB and TokuMX).

Why should Mr. Harford take that walk? Well, he recently

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Thoughts on Small Datum – Part 2
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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.

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On March 11th, Mark, a former Google and now Facebook database guru, published an insertion rate benchmark comparing MySQL (http://www.mysql.com" target="_blank) outfitted with the InnoDB storage engine with two NoSQL alternatives — basic MongoDB

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Thoughts on Small Datum – Part 1
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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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March 20 Webinar: How to Scale MySQL for Big Data Applications
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You may think that you have to buy, install, and get up to speed on a new database if you want to work with large amounts of data, but you can do more than you think with the MySQL you already have.
Register Now!

SPEAKER: Jon Tobin, Tokutek
DATE: Thursday, March 20th
TIME: 1pm ET

Without having to change your application or do special tuning you can increase performance and save significant time and money when you need to scale.

Join Tokutek’s Jon Tobin as he demonstrates how to use MySQL or MariaDB in Big Data applications by simply upgrading the storage engine with TokuDB, and how to effectively evaluate TokuDB for increased performance, compression and agility.

During this webinar you will learn:

  • How to dramatically increase performance without having to rewrite



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Showing entries 1 to 10 of 163 10 Older Entries

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