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OurSQL Episode 206: Pieces of Fabric

Podcasts Performance Server Tuning

In this episode we discuss sharding and high availability with MySQL Fabric, including installation and configuration. Ear Candy is rolling out GTIDs with no restarting, and At the Movies is putting MySQL Fabric to use, including a live demo.

OurSQL Episode 206: Pieces of Fabric

Podcasts Performance Server Tuning

In this episode we discuss sharding and high availability with MySQL Fabric, including installation and configuration. Ear Candy is rolling out GTIDs with no restarting, and At the Movies is putting MySQL Fabric to use, including a live demo.

MySQL Parallel Replication and Slave Group Commit

http://blog.booking.com/evaluating_mysql_parallel_replication_2-slave_group_commit.html

Follow the link above to read my latest article on the Booking.com developer blog.  It is about MySQL Parallel Replication and a very nice side effect of the MariaDB implementation: Slave Group Commit.

This is also a good opportunity to remind you that I will speak at Percona Live Santa Clara 2015 about 

Scaling Backend Systems at VividCortex

I wrote a guest post for High Scalability about how we scale our backend systems at VividCortex. It’s heavy on MySQL, sprinkled with a little bit of Redis’s magic pixie dust, and Kafka is also a key part of the architecture.

Important takeaways:

  • Our workload is unusual in that some use cases require reading huge amounts of data with interactive response times. We have lots of time-series data, but not a typical time-series workload.
  • Our data distribution is also weird.
  • Read optimization is vital, but we are extremely write-heavy.
  • We’re sharded and partitioned.
  • We run our systems on just a few low-end EC2 machines.
  • Go is a huge part of our speed to market and cost efficiency.
  • We use a “just enough micro-” …
[Read more]
Scaling Backend Systems at VividCortex

I wrote a guest post for High Scalability about how we scale our backend systems at VividCortex. It’s heavy on MySQL, sprinkled with a little bit of Redis’s magic pixie dust, and Kafka is also a key part of the architecture.

Important takeaways:

  • Our workload is unusual in that some use cases require reading huge amounts of data with interactive response times. We have lots of time-series data, but not a typical time-series workload.
  • Our data distribution is also weird.
  • Read optimization is vital, but we are extremely write-heavy.
  • We’re sharded and partitioned.
  • We run our systems on just a few low-end EC2 machines.
  • Go is a huge part of our speed to market and cost efficiency.
  • We use a “just enough micro-” …
[Read more]
Scaling Backend Systems at VividCortex

I wrote a guest post for High Scalability about how we scale our backend systems at VividCortex. It’s heavy on MySQL, sprinkled with a little bit of Redis’s magic pixie dust, and Kafka is also a key part of the architecture.

#DBHangOps 04/02/15 -- Getting Started with PERFORMANCE_SCHEMA and more!

#DBHangOps 04/02/15 -- Getting Started with PERFORMANCE_SCHEMA and more!

Hello everybody!

Join in #DBHangOps this Thursday, April, 02, 2015 at 11:00am pacific (19:00 GMT), to participate in the discussion about:

  • Getting started with PERFORMANCE_SCHEMA

    • What are issues P_S can help you find and fix faster?
    • How does P_S start to look under load?
  • What's the hardest issue you've had to debug?

    • How did it initially manifest?
    • How did you discover it?
    • How did you resolve it?
    • Any bug reports come out of it?
  • Percona Live 2015 is coming up! Are you presenting? What are you excited for?

You can check out the event page at …

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Log Buffer #416, A Carnival of the Vanities for DBAs

This log buffer edition sprouts from the beauty, glamour and intelligence of various blog posts from Oracle, SQL Server, and MySQL.

Oracle:

Oracle Exadata Performance: Latest Improvements and Less Known Features

Exadata Storage Index Min/Max Optimization

Oracle system V shared memory indicated deleted

12c Parallel Execution New Features: Concurrent UNION ALL

Why does …

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InnoDB 全文検索 : N-gram Parser

(この記事は InnoDB Full-Text : N-gram ParserYoshiaki Yamasaki が翻訳したものです)

デフォルトのInnoDB全文検索パーサー(構文解析プログラム)は、空白がトークン(語句)もしくは単語の区切りとなっているラテン語ベースの言語に対して理想的です。しかし、個々の単語の区切り文字が存在せず、それぞれの単語は複数の文字で構成できる中国語・日本語・韓国語(CJK)のような言語には向いていません。そこで、私たちは異なった方法で単語/トークンを識別する方法を必要とします。
私は今 …

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MySQL bind-address

While I try to keep things simple, sometimes eliminating options and explanations comes back to haunt me. After posting how to open a Fedora firewall port for a LAMP stack, somebody got trapped by my instructions for installing MySQL on Fedora. They got stuck because they had the following setting in their /etc/my.cnf file:

bind-address=localhost.localdomain

I’d suggested using that bind-address value for a DHCP VMware Fedora installation in Step #7. I was trying to create an example for an isolated testing instance, which is why I set the bind-address to a localhost.localdomain value. They raised the following error when they …

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