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Displaying posts with tag: TokuDB (reset)

Why TokuDB hates Transparent HugePages
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If you try to install the TokuDB storage engine on a modern Linux distribution it might fail with following error message:

2014-07-17 19:02:55 13865 [ERROR] TokuDB will not run with transparent huge pages enabled.
2014-07-17 19:02:55 13865 [ERROR] Please disable them to continue.
2014-07-17 19:02:55 13865 [ERROR] (echo never > /sys/kernel/mm/transparent_hugepage/enabled)

You might be curious why TokuDB refuses to start with Transparent HugePages. Are they not a good thing… allowing smaller kernel page tables and less TLB misses when accessing data in the buffer pool? I was curious, so I asked Tim Callaghan …



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Reference architecture for a write-intensive MySQL deployment
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We designed Percona Cloud Tools (both hardware and software setup) to handle a very high-intensive MySQL write workload. For example, we already observe inserts of 1bln+ datapoints per day. So I wanted to share what kind of hardware we use to achieve this result.

Let me describe what we use, and later I will explain why.

Server:

  • Chassis: Supermicro SC825TQ-R740LPB 2U Rackmount Chassis
  • Motherboard: Supermicro X9DRI-F dual socket
  • CPU: Dual Intel Xeon Ivy Bridge E5-2643v2 (6x 3.5Ghz cores, 12x …
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TokuDB tips: MySQL backups
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In my recent post, “TokuDB gotchas: slow INFORMATION_SCHEMA TABLES,” I saw a couple questions and tweets asking if we use TokuDB in production. Actually I mentioned it in that post and we also blogged about it in a couple of other recent posts:

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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 …
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Percona Server 5.6.19-67.0 with TokuDB (GA) now available
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Percona is glad to announce the release of Percona Server 5.6.19-67.0 on July 1, 2014. Download the latest version from the Percona web site or from the Percona Software …

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Percona Server with TokuDB (beta): Installation, configuration
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My previous post was an introduction to the TokuDB storage engine and aimed at explaining the basics of its design and how it differentiates from InnoDB/XtraDB. This post is all about motivating you to give it a try and have a look for yourself. Percona Server is not officially supporting TokuDB as of today, though the guys in the development team are working hard on this and the first GA release of Percona Server with TokuDB is looming on the horizon. However, there’s a …

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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 …

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Best Practices for Partitioned Collections and Tables in TokuDB and TokuMX
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In my last post, I gave a technical explanation of the performance characteristics of partitioned collections in TokuMX 1.5 (which is right around the corner) and partitioned tables in relational …

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Percona Server 5.6.17-66.0 is now available
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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

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Understanding the Performance Characteristics of Partitioned Collections
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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 …

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10 Newer Entries Showing entries 31 to 40 of 278 10 Older Entries

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