Using Unicode - Catalyst::Wiki
Prior to version 5.90040 it was required that you load the Catalyst::Plugin::Unicode::Encoding plugin to ensure proper decoding/encoding of incoming request parameters and the outgoing body response respectively. This is done in your MyApp.pm: use Catalyst qw/ -Debug ConfigLoader Unicode::Encoding /; Since that version the Unicode support was added to core by shipping the plugin with Catalyst and
èµ·æ»å›žç”Ÿ: Hibernateã§ã®DB接続タイムアウト
Hibernateã§ã€ä¸€ç•ªã‚ˆã利用ã•ã‚Œã¦ã„ã‚‹JDBCコãƒã‚¯ã‚·ãƒ§ãƒ³ãƒ—ーリングã¯ã€Œc3p0ã€ã ã¨æ€ã„ã¾ã™ãŒã€ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‚µãƒ¼ãƒåž‹ã®ã‚¢ãƒ—リケーションを 作ã£ã¦ã„ã‚‹ã¨ã€Hibernate.cfg.xmlã¸ã®è¨å®šãƒŸã‚¹ã‚„ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®æ–ç·šã€ã¯ãŸã¾ãŸã‚µãƒ¼ãƒãƒ¼ãƒ€ã‚¦ãƒ³ãªã©ã«ã‚ˆã‚ŠDBã«æŽ¥ç¶šã§ããªã„ã¨ã„ã†ã‚±ãƒ¼ã‚¹ ã¸ã®å¯¾å¿œãŒå¿…è¦ã«ãªã£ã¦ãã¾ã™ã€‚ ã—ã‹ã—ã€ä¸€èˆ¬çš„ãªã‚µãƒ³ãƒ—ルãªã©ã‚’見ã¦ã‚‚DBサーãƒã¸ã®æŽ¥ç¶šãŒã§ããªã„ケースã«ã©ã®ã‚ˆã†ã«å¯¾å¿œã™ã¹ãã‹ã¨ã„ã†ã“ã¨ã¯ã‚ã¾ã‚Šè¨˜è¼‰ã•ã‚Œã¦ã„ã¾ã›ã‚“。例ãˆã°Hibernateã®ãƒªãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ãªã©ã«ã€Œc3p0ãŒãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã®ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ãƒ—ーリングã よ。ã“ã‚“ãªé¢¨ã«è¨å®šã—ã¦ä½¿ã£ã¦ã（ã¯ãã¨ï¼‰ã€ã¨ã„ã†è¨˜è¿°ãŒã‚ã£ã¦ä¸‹è¨˜ã®ã‚ˆã†ãªã‚µãƒ³ãƒ—ルセッティングãŒè¨˜è¼‰ã•ã‚Œã¦ã„ã¾ã™ã€‚ hibernate.c3p0.min_size=5 hibernate.c3p0.max_size=20 hibernate.c
hide-k.net#blog: TTã§DBICã®has_manyãªãƒ¡ã‚½ãƒƒãƒ‰ã‚’使ã†
よãã‚ã‹ã‚‰ãªã„表題ã§ã™ãŒè¦ã¯ãƒ»ãƒ»ãƒ» MyApp::Schema::Topicsã¨MyApp::Schema::CommentsãŒ1:nã®é–¢ä¿‚ã«ã‚ã‚‹ã¨ã—㦠package MyApp::Schema::Topics; use strict; __PACKAGE__->has_many('comments' => 'MyApp::Schema::Comments'); 1; ã“ã‚“ãªã‚¢ã‚¯ã‚·ãƒ§ãƒ³ã§ sub list : Local { my ( $self, $c ) = @_; my $topics = $c->model('Topics')->search({}); $c->stash->{topics} = $topics; $c->stash->{template} = 'list.tt'; } TTã§ç´ ã§ã‚„ã‚‹å ´åˆ <html> <body> <ul> [% WHILE (topic =
OS X 10.5 㨠MovableType (DBD::MySQL) - 風ブãƒã‚°
ã”å˜çŸ¥ã®ã¨ãŠã‚Šã€MovableType ã¯ãƒ–ãƒã‚°ã®ãƒ—ãƒã‚°ãƒ©ãƒ ã§ã€è¿‘é ƒã§ã¯ CMS ã¨ã—ã¦ä½¿ã‚れるã“ã¨ã‚‚多ã„。MovableType 㯠CGI ã§å‹•ãã®ã§ã€æœ€ä½Žã§ã‚‚動作ã«å¿…è¦ãª perl モジュールãŒã„ãã¤ã‹ã‚ã‚‹ã®ã ãŒã€ä¸ã§ã‚‚ DBI モジュールã¨ã€DBD モジュールã¯ã€ãƒ‡ãƒ¼ã‚¿ãƒ¼ãƒ™ãƒ¼ã‚¹ã‚’ CGI ã‹ã‚‰æ“作ã™ã‚‹ã®ã«ãªãã¦ã¯ãªã‚‰ãªã„モジュールã§ã‚る。 Mac OS X 10.5 Leopard ã®å ´åˆã¯ã€DBI ã«ã¤ã„ã¦ã¯ã‚‚ã¨ã‹ã‚‰æŒã£ã¦ã„るよã†ã§ 1.5 系列ã®ã‚‚ã®ãŒã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã„るよã†ã ãŒã€DBD ã«ã¤ã„ã¦ã¯ã€SQLite ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã„ã‚‹ãŒã€MySQL ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã„ãªã„。 ã—ãŸãŒã£ã¦ã€ã‚ã‚Œã‚ã‚Œã®ã‚ˆã†ã« MovableType ã‚’ MySQL ã§å‹•ã‹ã—ã¦ã¿ãŸã„å ´åˆã«ã¯ã€DBD::MySQL を自分ã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ãªã‘ã‚Œã°ãªã‚‰ãªã„。ã“ã‚ŒãŒã€ä¸€ç‹ç¸„ã§ã¯
http://www.hirohama.biz/data/mysql_cluster_2.pdf
176 JAVA PRESS Vol.42 ( ) JAVA PRESS Vol.42 177 jdbc:mysqll://host1:3306,host2:3307 178 JAVA PRESS Vol.42 q w e q w JAVA PRESS Vol.42 179 q w e r q w package com.example; import java.sql.*; import java.util.*; public class MySQLClusterTest { public static void main(String[] args) throws Exception { Properties prop = new Properties(); prop.put("autoReconnect", "true"); prop.put("roundRobinLoadBalan
MySQLã§ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ãŒåˆ‡ã‚Œã‚‹å•é¡Œ | ミãƒãƒ«ãƒ´ã‚¡ã®æ¢Ÿã¯é»„æ˜ã¨ã¨ã‚‚ã«é£›ã³å§‹ã‚る（山下 大介 å…¬å¼ãƒ–ãƒã‚°ï¼‰
ãã†ã„ãˆã°JDBCã§é•·æ™‚間放置ã—ã¦ã„ã‚‹ã¨ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ãŒåˆ‡ã‚Œã‚‹å•é¡Œã‚’解決ã—ãŸã®ã‚’スッカリ忘れã¦ã„ã¾ã—ãŸã€‚ MySQLã¯8時間通信ãŒç„¡ã„ã¨ã€ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ã‚’切るãã†ãªã®ã§ã™ãŒã€JDBCã®è¨å®šã§autoReconnect=trueã‚’è¨å®šã—ã¦ãŠã‘ã°å•é¡Œç„¡ã„ãƒã‚ºãªã®ã§ã™ãŒã€ä»Šå›žã¯ãªãœã‹autoReconnect=trueã®è¨å®šã‚’ã—ã¦ã‚‚å†æŽ¥ç¶šã•ã‚Œãšã«3æ—¥ã»ã©ãƒ‰ãƒ„ボã«ãƒãƒžãƒƒã¦ãŠã‚Šã¾ã—ãŸãŒã€çµå±€ãƒ—ãƒã‚°ãƒ©ãƒ ã§ä¾‹å¤–ã‚’ã‚ャッãƒã—ã¦ãƒªãƒˆãƒ©ã‚¤ã•ã›ã‚‹æ–¹æ³•ã§è§£æ±ºã—ã¾ã—ãŸã€‚ —–2009/04/28追記—– ConnectionPoolingを利用ã—ã¦ã„ã‚‹å ´åˆã€ä»¥ä¸‹ã®è¨å®šã‚‚ã”確èªä¸‹ã•ã„。 autoReconnectForPools=true JDBCãŒ3.2ç³»ã®å ´åˆã€ä»¥ä¸‹ã®ãƒ—ãƒãƒ‘ティをtrueã«ã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚3.3ç³»ã‹ã‚‰ã¯autoReconnectã®æ©Ÿèƒ½ãŒå‰Šé™¤ã•ã‚Œã¦ã„ã¾ã™ã€‚ enableDeprecatedAutor
DBIx::Class + Catalyst::View::JSON - ヒルズã§åƒã@robarioã®æŠ€ãƒã‚°
InflateColumnを使ã£ã¦ã„ã‚‹ã¨ãã«å•é¡ŒãŒã‚ã£ãŸãŸã‚ã€ä¿®æ£ç‰ˆã‚’æ–°ã—ã„エントリã«èµ·ã“ã—ã¾ã—ãŸã€‚ ä¿®æ£ç‰ˆï¼šDBIx::Class ＋ Catalyst::View::JSON（２） - ヒルズã§åƒã@robarioã®æŠ€ãƒã‚° 昔書ã„ãŸãƒ¡ãƒ¢ãŒå‡ºã¦ããŸã®ã§è»¢è¼‰ã€‚ DBIC::ResultSet#findã‚„DBIC::ResultSet#searchã—ãŸã‚‚ã®ã‚’ãã®ã¾ã¾JSONã«ã—ãŸã„ã˜ã‚ƒãªã„ã§ã™ã‹ã€‚ ã§ã‚‚Catalyst::View::JSONã«ãã®ã¾ã¾æ¸¡ã™ã¨CatalystãŒè½ã¡ã‚‹ã‚“ã§ã™ã‚ˆã€‚ ãªã®ã§é©å½“ã«å±•é–‹ã—ã¦ãれるサブルーãƒãƒ³ã‚’作ã£ã¦ä½¿ã£ã¦ã„ã¾ã™ã€‚ Catalyst::View::JSON以外ã§ã‚‚使ã†ã®ã§ã€ã‚¢ãƒ—リケーションクラスã«ç½®ã„ã¦ã„ã¾ã™ã€‚ ### lib/MyApp.pm sub expand_dbic { my ( $c, $obj ) = @_; if ( !Scalar::U
hide-k.net#blog: DBIx::Class::ResultManagerã®deprecatedã«å‚™ãˆã‚‹
DBIx::Class::ResultSetManager - scheduled for deletion in 09000 - search.cpan.org DBIx::Class::ResultSetManager never left experimental status and has now been DEPRECATED. This module will be deleted in 09000 so please migrate any and all code using it to explicit resultset classes using either __PACKAGE__->resultset_class(...) calls or by switching from using DBIx::Class::Schema->load_classes()
Computer Vision Test Images
AT&T Laboratories Cambridge face database - 400 images (Formats: pgm) AVHRR Pathfinder - datasets Air Freight - The Air Freight data set is a ray-traced image sequence along with ground truth segmentation based on textural characteristics. (455 images + GT, each 160x120 pixels). (Formats: PNG) Amsterdam Library of Object Images - ALOI is a color image collection of one-thousand small objects, reco
Open Data Sponsorship Program | AWS
The Amazon Web Services (AWS) Open Data Sponsorship Program covers the cost of storage for publicly available high-value cloud-optimized datasets. We work with data providers who seek to: Democratize access to data by making it available for analysis on AWS Develop new cloud-native techniques, formats, and tools that lower the cost of working with data Encourage the development of communities that
blog.katsuma.tv
greeã•ã‚“ã§é–‹å‚¬ã•ã‚ŒãŸKey Value Store勉強会ã«è¡Œã£ã¦ãã¾ã—ãŸã€‚ 時間ã«ã—ã¦4時間超ãˆã€å†…容も国内ã®Key-Value Storeãªã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã®æœ€å‰ç·šã®è©±ã°ã‹ã‚Šã§ç›¸å½“ãªãƒœãƒªãƒ¥ãƒ¼ãƒ 。以下ã€ãƒ¡ãƒ¢ã£ã¦ãŸã®ã‚’残ã—ã¦ãŠããŸã„ã¨æ€ã„ã¾ã™ã€‚（誤å—ã€è„±å—ã€å†…容ã«èª¤ã‚Šã‚’å«ã‚€ã‚‚ã®ãªã©ã‚ã‚Šã¾ã—ãŸã‚‰ãŠä¼ãˆãã ã•ã„）ã¾ãŸã€ç™ºè¡¨è€…ã®æ–¹ã‚„プãƒãƒ€ã‚¯ãƒˆã«ã¤ã„ã¦ã€ã–ã£ãり調ã¹ã¦URL見ã¤ã‘られãŸã‚‚ã®ã«ã¤ã„ã¦ã¯ãƒªãƒ³ã‚¯å¼µã£ã¦ã„ã¾ã™ã€‚ 森ã•ã‚“ / 末永ã•ã‚“  groonga Sennaã®å¾Œç¶™ã‚¨ãƒ³ã‚¸ãƒ³ èžé€šãŒåŠ¹ã‹ãªã„ã®ãŒSennaã®ãƒ‡ãƒ¡ãƒªãƒƒãƒˆ スコア算出å¼ã®ã‚«ã‚¹ã‚¿ãƒžã‚¤ã‚ºãªã© Sennaã®è»¢ç½®ç´¢å¼• 索引ã®æ§‹æˆéƒ¨å“を自由ã«çµ„ã¿åˆã‚ã›ã¦ä½¿ãˆã‚‹ APIã‚‚ã„ã‚ã„ã‚ QL DB Low Level memcached互æ›ã®key-value store ãƒã‚¤ãƒŠãƒªã®ã¿å¯¾å¿œ 計測 クライアント　memstorm-0.6.8 mem
çµ±åˆãら㗠- 天皇陛下ã®è«–æ–‡
_ [journal][science] 天皇陛下ã®è«–æ–‡ 天皇誕生日ã‹ã‚‰ã¯æ•°æ—¥ã™ãŽã¦ã—ã¾ã„ã¾ã—ãŸãŒã€å…ˆã”ã‚ã€å¤©çš‡é™›ä¸‹ãŒ 1st author ã§è«–文を出ã•ã‚Œã¦ã„ã¾ã—ãŸã€‚PubMedã‹ã‚‰æ¤œç´¢ã§ãã¾ã™ã€‚ Evolution of Pacific Ocean and the Sea of Japan populations of the gobiid species, Pterogobius elapoides and Pterogobius zonoleucus, based on molecular and morphological analyses. Akihito, Fumihito A, Ikeda Y, Aizawa M, Makino T, Umehara Y, Kai Y, Nishimoto Y, Hasegawa M, Nakabo T, Gojobori T. Ge
mysql -Xã§ã‚¯ã‚¨ãƒªãƒ¼ã®çµæžœã‚’XMLã§å–å¾— - 技術メモ帳
mysql -X ã§ã‚¯ã‚¨ãƒªãƒ¼ã®çµæžœãŒXMLã§å–å¾—ã§ãるらã—ã„。 興味深ã„ã®ã§ã‚„ã£ã¦ã¿ãŸã€‚ ãªã‚“ã‹é©å½“ã«ãƒ†ãƒ¼ãƒ–ルを作æˆã™ã‚‹ã€‚ ã¨ã‚Šã‚ãˆãšã€4ã¤ã®ã‚«ãƒ©ãƒ ã‚’æŒã¤tã¨ã„ã†ãƒ†ãƒ¼ãƒ–ル作ã£ãŸã€‚ mysql> create table t(id int not null, name varchar(255), body text, updated_at datetime); mysql> insert into t values(1, 'name', 'body', current_timestamp); mysql> insert into t values(2, 'name2', 'body2', current_timestamp); ã¨ã‚Šã‚ãˆãšã€æ™®é€šã«SELECTã§è¡¨ç¤ºã—ã¦ã¿ã‚‹ã€‚ # mysql -e 'SQL' ã§ä»»æ„ã®SQLを実行å¯èƒ½ã€‚ワンライナーã«ä½¿ãˆã¾ã™ã€‚ $ mysql -e 'sele
MyISAM 㨠InnoDB ã® SELECT パフォーマンスã®è©± - kazuhoã®ãƒ¡ãƒ¢ç½®ãå ´
InnoDB 㯠MVCC ã§é…ãã†ã ã‹ã‚‰èªã¿è¾¼ã¿ä¸»ä½“ã®å ´åˆã¯ MyISAM ã¨ã‹è¨€ã†ã‘ã©ã€ãã†ã„ã†ç™ºæƒ³ã®äººã¯ãã‚‚ãã‚‚ MVCC ä¸è¦ï¼è¤‡é›‘ãªã‚¯ã‚¨ãƒªã‚’書ã‹ãªã„人ãªã‚ã‘ã§ã€ã§ã€æ°¸ç¶šçš„ãªãƒãƒƒã‚·ãƒ¥ã¨ã—ã¦ã—ã‹ MySQL を使ã‚ãªã„よã†ãªã‚±ãƒ¼ã‚¹ã§ã¯ã€ã©ã®ã¿ã¡ãƒ—ãƒã‚»ã‚¹é–“通信ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã‚‹ã®ã§ InnoDB ã§ã‚‚ MyISAM ã§ã‚‚パフォーマンスã¯å¤‰ã‚らãªã„ã‚“ã˜ã‚ƒãªã„ã‹ã¨æ€ã£ãŸã€‚ 以下ã¯ã€250 万件ã®ãƒ†ãƒ¼ãƒ–ルã‹ã‚‰ãƒ©ãƒ³ãƒ€ãƒ ã«ãƒ—ライマリã‚ーを指定ã—ã¦èªã¿è¾¼ã‚“ã å ´åˆã®ãƒ‘フォーマンス (10万回)。 クエリ MyISAM InnoDB WHERE id=x 10.4秒 10.7秒 WHERE id>x LIMIT 10 19.8秒 18.1秒 環境㯠MySQL 5.1.28-rc。ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã¨ã—ã¦ã¯ã€key_buffer_size, myisam_use_mmap, innodb_buffer_p
KOF 2008 ã®ç™ºè¡¨è³‡æ–™ - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
KOF 2008 ã§ã®ç™ºè¡¨è³‡æ–™ã€Œã¯ã¦ãªæµå¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã€ã‚’以下ã«ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã—ã¾ã—ãŸã€‚ http://bloghackers.net/~naoya/ppt/081108huge_data.ppt 一部å‚考文献ã‹ã‚‰ã®å¼•ç”¨ (Introduction to Information Retrieval ã‹ã‚‰ Vector space model ã®å›³ã€ãŸã¤ã‚’ã® ChangeLog ã‹ã‚‰è»¢ç½®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®å›³) ãŒã‚ã‚Šã¾ã™ã€‚ã“ã®å ´ã‚’借りã¦æ„Ÿè¬ã€‚ 環境ã«ã‚ˆã£ã¦ã¯ãŠãらãフォントã®è¡¨ç¤ºãŒã„ã¾ã„ã¡ã ã¨æ€ã„ã¾ã™ãŒã€ã”了承ãã ã•ã„。 追記 SlideShare ã«ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã—ã¾ã—ãŸã€‚ 081108huge_data.pptView SlideShare presentation or Upload your own. (tags: linux mysql) 追記: メモリã¯ãƒ‡ã‚£ã‚¹ã‚¯ã® 150 å€ã«ã¤ã„ã¦
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