Tag - hot schema changes

Using gh-ost with Amazon Aurora for MySQL

gh-ost online schema change

In this day and age of agile methodologies and fast-paced development methods, database schema changes are as inevitable as the growth of data. We have been thoroughly familiar with the effectivity of pt-online-schema-change for the last couple of years but it has one limitation. If the table is too hot to acquire metadata locks […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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Customer, Analysts, Press on TokuDB v5.0

Customers and Users
Ernie Souhrada, Chief IT Architect at Jawa

“With the introduction of Hot Schema Changes in TokuDB v5.0, Tokutek makes deriving value out of a large MySQL database simple, giving us the option to much more easily analyze our data and generate value for our business.”

Sheeri Cabral, Database Operations Manager […]

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Announcing TokuDB v5.0: Making Big Data Agile

The Big Data Opportunity
“What if you could analyze every transaction, capture insights from every customer interaction, and didn’t have to wait for months to get data from the field?”- McKinsey Column, Financial Times

Despite this tremendous opportunity, MySQL implementations are usually kept relatively small, often on the order of 500 GB […]

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TokuDB FAQ

Links to the FAQ Sections can be found here:

General Information
Open Source
Technical Details
Best Practices and Tools

General Information
ANY CHARACTER HERE
1.    What is TokuDB?

TokuDB is an ACID compliant storage engine for MySQL that is specifically designed for high performance on write-intensive workloads. It achieves this via Fractal Tree® indexing. This approach to building memory-efficient systems was originally jointly […]

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