Showing entries 1 to 6
Displaying posts with tag: hot schema changes (reset)
March 20 Webinar: How to Scale MySQL for Big Data Applications

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 …
[Read more]
November 6 Webinar: 5 Pitfalls to Avoid with MySQL and Big Data

You love MySQL for its ease of deployment – but are you worried about how your application will perform when it starts to scale?

SPEAKER: Gerry Narvaja, Tokutek
DATE: Wednesday, November 6th
TIME: 1pm ET
Register Now!

Join this interactive webinar with Gerry Narvaja of Tokutek as he walks through the potential pitfalls when using MySQL for Big Data applications, how you can avoid unnecessary tolls on time and resources and tips on how to get the most out of your MySQL applications with open source TokuDB.

Attend this webinar to learn how to:

  • dramatically increase performance without having to rewrite code
  • reduce the total cost of your servers and flash/SSD storage
  • perform hot schema changes

The …

[Read more]
MySQL Schema Agility on SSDs

TokuDB v6.5 adds the ability to expand certain column types without downtime.  Users can now enlarge char, varchar, varbinary, and integer columns with no interruption to insert/update/delete statements on the altered table.  Prior to this feature, enlarging one of these column types required a full table rebuild.  InnoDB blocks all insert/update/delete operations to a table during column expansion as it rebuilds the table and all indexes.

We recently added SSDs to our existing servers (HP DL380 servers with internal RAID arrays).  I opted for LSI controllers (LSI 9285-8e and LSI 9280-4i4e), Samsung 830 SSDs, and a Sans Digital AccuRaid AS108X enclosure.  I was unable to locate much in the way of optimizing Linux for SSD/RAID performance and plan on blogging my findings in the future.  However, the out of the box performance is seriously fast.

I was curious to see how much downtime occurs when issuing …

[Read more]
Announcing TokuDB v6.5: Optimized for Flash

We are excited to announce TokuDB® v6.5, the latest version of Tokutek’s flagship storage engine for MySQL and MariaDB.

This version offers optimization for Flash as well as more hot schema change operations for improved agility.

We’ll be posting more details about the new features and performance, so here’s an overview of what’s in store.

Flash
TokuDB v6.5 continues the great Toku-tradition of fast insertions. On flash drives, we show an order-of-magnitude (9x) faster insertion rate than InnoDB. TokuDB’s standard compression works just as well on flash and helps you get the most out of your storage system. And TokuDB reduces wear …
[Read more]
Announcing TokuDB v5.2: Improved Multi-Client Scaling and Faster Queries

TokuDB® v5.2, the latest version of Tokutek’s flagship storage engine for MySQL and MariaDB, is now available.

This version offers performance enhancements over previous releases, especially for multi-client scale up and point queries, and extends the cases where ALTER TABLE is non-blocking, in particular adding Hot Column Rename.

TokuDB v5.2 maintains all our established advantages: fast trickle load, fast bulk load, fast range queries through clustering indexes, hot schema changes, great compression, no fragmentation, and full MySQL compatibility for ease of installation. See our benchmark page for details.

Multi-client workloads

In TokuDB v5.2, we have reworked our locking scheme to better support multi-client workloads, and as always, we have focused on large databases. How did we do? Let’s check out some …

[Read more]
Database Insights from Archimedes to the Houston Rockets

Archimedes, the first DBA

According to a recent MIT Sloan Management Review study, top performing organizations use analytics 5 times more than lower performers. That’s pretty astounding. And while we all know about the ocean/lake/waves/(your favorite water analogy) of Big Data we struggle with everyday, information is not knowledge. So how can we get insight from data? Recent articles from O’Reilly and HBR offered some …

[Read more]
Showing entries 1 to 6