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Displaying posts with tag: TokuView (reset)
Announcing TokuDB v7 Enterprise Edition: Hot Backup and Support

As promised, the Enterprise Edition of TokuDB®, Version 7, is ready. TokuDB Version 7, Enterprise Edition, introduces Hot Backup. You can now back up all your TokuDB tables directly from MySQL or MariaDB, with no down time. In addition, TokuDB Enterprise Edition comes with a support package.

TokuDB v7 Enterprise Edition maintains all our established advantages: hot schema changes, excellent compression, fast trickle load, fast bulk load, fast range queries through clustering indexes, no fragmentation, and full MySQL/MariaDB compatibility for ease of installation.

For details on pricing and supported MySQL and MariaDB versions, please see our FAQ.

To learn more about TokuDB:

  • Download executables here.
  • The source code for the Community Edition …
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iiBench Benchmark: TokuMX vs. MongoDB

Tokutek created the iiBench benchmark back in 2008. The point of the benchmark is to measure the performance of indexed insertions over time. It uses an extremely simple schema, one table with a sequential insertion pattern for the primary key along with three integer fields storing random values. The table maintains 3 secondary indexes, each including several of the random integer fields. The iiBench application itself is currently maintained on Launchpad.

B-tree implementations generally require maintenance operations to update leaf nodes (an insertion is one such operation). When the entire B-tree index does not fit in RAM an IO is required, and performance drops dramatically. Fractal Tree Indexes do not exhibit this performance drop as leaf node …

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TokuMX: Fractal Trees with MongoDB

Over several blog posts, Tim has presented performance results on large data sets of TokuMX, our MongoDB product with fractal tree indexes integrated, side by side with MongoDB. Results look good. We’ve shown improved throughput numbers on a sysbench benchmark, faster load times, and high compression.

So what is TokuMX, and how does it achieve this performance?

TokuMX has replaced ALL of the storage code in MongoDB with fractal trees. Every collection, every secondary index, every metadata collection is stored with fractal trees, the same technology that implements the TokuDB storage engine for MySQL. That is, all data is stored and managed with our transactional, ACID and MVCC-compliant, write-optimized storage library.

TokuMX achieves …

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Sysbench Benchmark for MongoDB – v0.1.0 Performance Update

Two months ago I posted a performance comparison running Sysbench on MongoDB versus MongoDB with Fractal Tree Indexes v0.0.2. The benchmark showed a 133% improvement in throughput. Nice, but our engineering team had an effort on our road-map for lock refinement that we believed would really boost our performance, which is now available in v0.1.0. The benchmark application itself is unchanged and available on GitHub.

For anyone curious about Sysbench itself, the details are available from the prior blog. The only change for this run was hardware. Our Sun x4150 server recently began rebooting itself at random times, so it has been replaced with a newer HP server. Another change is …

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Slides from my Percona Live “Benchmarking” presentation

I finally posted a copy of the slides from my Percona Live presentation, “Creating a Benchmarking Infrastructure that Just Works”.  The PDF is available via this link.

The content comes from my personal experiences over many years benchmarking and testing databases, usually focusing on performance.  It was an opportunity to see how far my personal benchmark infrastructure has evolved, but even better has inspired me to improve it in several areas.

I never had a chance to to my own post-conference wrap-up regarding the Percona Live show.  While waiting for my flight home at SFO airport I concluded that it was by far the best technology conference I’ve ever attended.  The …

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Presenting at tomorrow’s Effective MySQL Meetup (New York City)

At tomorrow’s Effective MySQL Meetup, I’ll be presenting “Fractal Tree Indexes : Theory and Practice (MySQL and MongoDB).” The meetup is at 6:30pm Tuesday, May 14, 2013, and will be held at Alley NYC in New York City.

I’ll give an overview on how Fractal Tree® indexes work, and then get into specific product features that Fractal Trees enable in MySQL and MongoDB.  Some benchmarking and customer use-cases will be discussed, but my intent is for this to be a deep technical dive.  Several Tokutek Engineers will also be on hand, so bring any questions you’ve got.

I hope to see you there!

Last Week’s Presentations Posted

Last week I had to present a tutorial at Percona Live 2013, a presentation at SkySQL’s MySQL & Cloud Database Solution Day and last but not least, a presentation on a Saturday morning at Linuxfest Northwest. It wasn’t easy, but giving the presentations after our announcement early in the week about going open source was very exciting given the warm reception we got from the MySQL Community.

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May 2nd Webinar: Introduction to TokuDB v7 Community & Enterprise Editions

With this version, the source code is now freely available under the GPL License v2. For more details, see our blog here. Open source pioneer Mozilla has been using TokuDB to manage its MySQL-driven Datazilla Data cluster, an open-source system for managing and visualizing performance data.

Date: May 2nd
Time: 2 PM EST / 11 AM PST

In the past TokuDB has been free for evaluation; the new TokuDB Community Edition extends free use to deployed environments. With this release Tokutek is also planning on making available a TokuDB Enterprise Edition, which includes technical support, initial customer onboarding services, and advanced tools for backup and recovery.

We …

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Opening Week for TokuDB

Since we had the pleasure to announce that TokuDB is open source on Monday, it’s been a thrilling ride. With several members of the team out west all week, back on the east coast we’ve been seeing quite a lot of questions, suggestions, and exciting results.

Here are some of the highlights of our first week of open source:

We started hearing back from the community almost immediately after the announcement with discussions in multiple forums. We even reached #2 on Hacker News for a bit.

On Tuesday, a friend of mine in China wrote up …

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MySQL Paradise: YouTube Video

Yesterday we posted the photos and lyrics. Now we’ve got the YouTube video (click here)!

And for those who want some behind the scenes photos, see here and here. (courtesy of @seattlegaucho).

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