All of Percona’s open source software products, in one place, to download as much or as little as you need.
All of Percona’s open source software products, in one place, to download as much or as little as you need.
{{toc_here}} InnoDB パフォーマンスチューニング MySQL :: MySQL 5.1 リファレンスマニュアル :: 13.5.11 InnoDB パフォーマンス チューニング ヒント MySQL :: MySQL 5.1 Reference Manual :: 13.6.13.1 InnoDB Performance Tuning Tips 長過ぎる PRIMARY KEY を避けてディスク領域の無駄遣いを避ける セカンダリインデックス用に余計な領域を使わないよう、長い主キーを避ける 主キーが長い場合、代わりに AUTO_INCREMENT なカラムを主キーとして作成するとよい 補足 MySQL :: MySQL 5.1 リファレンスマニュアル :: 13.5.13 InnoDB テーブルとインデックス構造 MySQL :: MySQL 5.1 Reference Ma
Mitratogel Solusi Terbaik Togel Singapore & Togel Hongkong Sebagai salah satu bentuk permainan tebak angka yang sangat populer, togel (toto gelap) telah mengalami banyak perubahan dan perkembangan sejak diperkenalkan beberapa dekade yang lalu. Seiring dengan kemajuan teknologi, togel kini dapat dimainkan secara online, memudahkan para pemain untuk mengakses permainan ini kapan saja dan di mana saj
松信氏の、 MyISAMとInnoDBのどちらを使うべきか Twitterで話題になってたので簡単にまとめました。 というエントリが人気を博しているが、松信氏が言うように最近はTwitterでMySQL関連の話題も結構増えてきているように思う。Twitterの流行の勢いは凄まじく、今は右を向いても左を向いてもTwitter、寝ても覚めてもTwitter、猫も杓子もTwitterという雰囲気である。従ってMySQLもTwitterで盛り上がるのは当然の成り行きというもであるし、Twitterを活用しない手はない。 しかしMySQL関連の話で盛り上がると言っても「じゃあ誰をフォローすれば話に入れるんだよ？！」と多くの皆さんは疑問に思われることだろう。そこで、今日はMySQL関連のTwitterアカウントを独断と偏見と愛と勇気と努力をもって紹介する。MySQLの情報が欲しい人、もしくは話題の輪に
Part 1 of our series set-up our “test” application and looked at boosting performance of the application by buffer MySQL with memcached. Our test application is simple and requires only 3 basic operations per transaction 2 reads and 1 write. Using memcached combined with MySQL we ended up nearly getting a 10X performance boost from the application. Now we are going to look at what we could
All to often people force themselves into using a database like MySQL with no thought into whether if its the best solution to there problem. Why? Because their other applications use it, so why not the new application? Over the past couple of months I have been doing a ton of work for clients who use their database like most people use memcached . Lookup a row based on a key, update the dat
It is a well-known fact that the bottlenecks of MySQL does not exist in its storage engines, but rather in the core, for example, its parser and execution planner. Last weekend I started to wonder how fast MySQL could be if those bottlenecks were skipped. Not being able to stop my curiousity, I started adding memcached proctol support to MySQL as a UDF. And that is Mycached. From what I unders
How do Pinterest accounts achieve such high visibility and how do they turn a casual scroll into a visually engaging experience? If you’re interested in the artistry behind compelling pins and the strategic skills required to drive traffic to them, this is for you. On Pinterest, you can find a Social Media Content Specialist, who is in charge of creating engaging visuals and strategic flair for di
Our Sites Detailed Image is our bread and butter, but we've created some other great sites too Detailed Image Started in 2004 in Greg's basement, we've grown Detailed Image into one of the leading destinations for buying car care supplies online. Learn more about what makes Detailed Image so special.
mprofileをPHPに移植してみた。 ref - /platform/mysql/mprofile.php - CodeRepos::Share - Trac ちょっとした filter を書きたいけど、ウチには perlmonger はいないのよねぇ。って人向け。 たぶん、一緒のことはできるはず。 via - Kazuho@Cybozu Labs: MySQL のボトルネックを統計的に監視・解析する方法 使い方はほとんど一緒で、、 ./mpdump.php --host=192.168.0.123 --user=hoge --password=foobar > dump.txt でサンプリングしておいて ./mpfilter.php こんな感じ。 ちなみに、少し変更ポイントがあって、 mpdump において、SHOW FULL PROCESSLIST を拾っているコードのうち
Spider is the first step when accessing a remote database and a storage engine that updates and improves upon the existing architecture of MySQL. Spider supports database transaction. In addition Spider allows an unlimited amount of users to quickly access the MySQL database. Spider supports MySQL partitioning. Spider operates as a "cluster" acting as a single system that supports unlimited parall
Background We use MySQL for storing all of the data in FriendFeed. Our database has grown a lot as our user base has grown. We now store over 250 million entries and a bunch of other data, from comments and "likes" to friend lists. As our database has grown, we have tried to iteratively deal with the scaling issues that come with rapid growth. We did the typical things, like using read slaves and
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