postgres.new: In-browser Postgres with an AI interface
Introducing postgres.new, the in-browser Postgres sandbox with AI assistance. With postgres.new, you can instantly spin up an unlimited number of Postgres databases that run directly in your browser (and soon, deploy them to S3). Each database is paired with a large language model (LLM) which opens the door to some interesting use cases: Drag-and-drop CSV import (generate table on the fly) Generat
Exploring Notion's Data Model: A Block-Based Architecture | Notion
A generation of pioneers (Doug Engelbart, Ted Nelson, Alan Kay, and many more) saw the computer as tool to augment human problem-solving by giving people power over information. Today, that information mostly remains siloed across tools. Take cloud-based document editors, where pages are their smallest atomic unit. Information is locked inside of pages and files and folders — that’s reminiscent of
pg_graphql: A GraphQL extension for PostgreSQL
We found both options to be largely viable for the core feature set. Which left us with one final hang-up: we host free-tier projects on VMs with 1 GB of memory. After tallying the resources reserved for PostgreSQL, PostgREST, Kong, GoTrue, and a handful of smaller services, we were left with a total memory budget of ... 0 MB 😬. Unsurprisingly, our pathological memory target disqualified any opti
PostgreSQL Benchmarks: Apple ARM M1 MacBook Pro 2020 | Crunchy Data Blog
This graph is amazing to me: Of course Intel has Xeon processors that have pushed single core performance higher than these laptop-oriented Intel results. But look at that big cluster below 5 clients, showing how long they've been stuck in the same performance range when power and heat is limited. I mentioned last time Intel had only doubled performance in the 8 years of MacBook models I looked at
How We Store Data in the Cloud at Auth0
DatabaseHow We Store Data in the Cloud at Auth0Learn how Auth0 uses different datastores to serve a wide variety of use cases and power critical features. Auth0 uses different datastores for different purposes. We have tons of datasets used to serve the wide variety of use cases and features we offer to our customers. In an age where data breaches are unfortunately getting more common, a critical
PostgreSQL 10æ£å¼ãƒªãƒªãƒ¼ã‚¹ã€‚è«–ç†ãƒ¬ãƒ—リケーションã§ç‰¹å®šã®ãƒ†ãƒ¼ãƒ–ルã®ã¿è¤‡è£½ã€ãƒ†ãƒ¼ãƒ–ルパーティショニングã®å®¹æ˜“ãªæ§‹æˆãªã©
オープンソースã®RDBã€PostgreSQL 10æ£å¼ç‰ˆãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸã€‚新機能ã«ã¯è«–ç†ãƒ¬ãƒ—リケーションã€å®£è¨€çš„パーティショニングã€ãƒ‘ラレルクエリã®æ”¹å–„ã«ã‚ˆã‚‹æ€§èƒ½å‘上ãªã©ãŒã‚る。 オープンソースã®ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã—ã¦é–‹ç™ºã•ã‚Œã¦ã„ã‚‹PostgreSQLã®æœ€æ–°ç‰ˆã€ŒPostgreSQL 10ã€ã®æ£å¼ãƒªãƒªãƒ¼ã‚¹ãŒç™ºè¡¨ã•ã‚Œã¾ã—ãŸã€‚ PostgreSQL 9.0ã¯2010å¹´9月20日リリースã€ç›´å‰ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹PostgreSQL 9.6ã®ãƒªãƒªãƒ¼ã‚¹ãŒ2016å¹´9月ã§ã—ãŸã®ã§ã€1å¹´ã¶ã‚Šã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ã§ã™ã€‚ ã“ã‚Œã¾ã§PostgreSQLã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯X.Y.Zã§ç¤ºã•ã‚Œã‚‹ãƒãƒ¼ã‚¸ãƒ§ãƒ³ç•ªå·ã®ã†ã¡X.YãŒãƒ¡ã‚¸ãƒ£ãƒ¼ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’示ã—ã¦ã„ã¾ã—ãŸãŒã€PostgreSQL 10ã‹ã‚‰ã¯ãƒãƒ¼ã‚¸ãƒ§ãƒ³ç•ªå·ã¯X.Yã®å½¢å¼ã§ç¤ºã•ã‚Œã€Xã®éƒ¨åˆ†ãŒãƒ¡ã‚¸ãƒ£ãƒ¼ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’示ã™ã“ã¨ã«ãªã‚‹ã¨ã•ã‚Œã¦ã„ã¾ã™ï¼ˆã¤ã¾ã‚Šæ¬¡ã®ãƒ¡ã‚¸ãƒ£ãƒ¼ãƒãƒ¼ã‚¸ãƒ§
Server Side React with PostgreSQL — ãã“ã¯ã‹ã¨ãªã書ãよん。 ドã‚ュメント
Server Side React with PostgreSQL¶ Reactjsã„ã„ã§ã™ã‚ˆã。ã†ã¡ã§ã‚‚ã™ã§ã«Reactã§æ›¸ã„ãŸã‚µãƒ¼ãƒ“スを動ã‹ã—ã¦ã„ã¾ã™ã€‚ ã•ã¦ã€Reactjsã®å£²ã‚Šã®ä¸€ã¤ã¯Server Side Renderingã ã¨æ€ã„ã¾ã™ã€‚ã™ã§ã«å„種言語ã§å‹•ã‹ã—ã¦ã„ã‚‹æ–¹ãŒã„らã£ã—ゃã„ã¾ã™ã€‚一例: Java: http://www.slideshare.net/makingx/reactjs-meetupjavassr go: https://github.com/olebedev/go-react-example python: https://github.com/markfinger/django-react ã§ã‚‚ã€ã¡ã‚‡ã£ã¨å¾…ã£ã¦ä¸‹ã•ã„。サーãƒãƒ¼å´ã§ãƒ¬ãƒ³ãƒ€ãƒªãƒ³ã‚°ã™ã‚‹ãªã‚‰åˆ¥ã«Appサーãƒãƒ¼ã«ã‚„らã›ã‚‹å¿…è¦ã¯ãªã„ã§ã™ã‚ˆã。むã—ã‚ã€ãƒ‡ãƒ¼ã‚¿ã‚’ä¿æŒã—ã¦ã„ã‚‹DBã«ã‚„らã›ã‚Œã°ã€ãƒ‡ãƒ¼ã‚¿ã®ç§»å‹•ãŒãª
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https://mariadb.com/kb/en/optimizer-switch/ã«ã‚るよã†ã«ã€MariaDBã®ã‚ªãƒ—ティマイザã¯ã‹ãªã‚Šæ”¹è‰¯ã•ã‚Œã¦ã„る。 ã§ã¯ã€MariaDBã®ã‚ªãƒ—ティマイザ/エクゼã‚ュータã¯ã©ã®ç¨‹åº¦å„ªç§€ã‹ã€ï¼”ã¤ã®SELECTæ–‡ã®å®Ÿè¡Œã‚’通ã—ã¦MySQLã¨(ã¤ã„ã§ã«PostgreSQLã¨)比較ã—ã¦ã¿ã‚‹ã€‚ (2014.12.3追記：オプティマイザã«ã¤ã„ã¦ã¯çœç•¥ã—ã¦ã¾ã™ãŒã€ã“ã‚“ãªæœ¬ãŒã§ã¾ã™ã€‚) çµè«–ã‚’å…ˆã«ã„ãˆã°ã€ŒMySQLã¯æ¤œç´¢ãŒé€Ÿã„ã€ã¨ã„ã†ã®ã¯éƒ½å¸‚ä¼èª¬ã€‚MariaDBã¯ãŒã‚“ã°ã£ã¦ã‚‹ã‘ã©PostgreSQLã«ã¯ã¾ã ã¾ã åŠã°ãšã€‚ ＊念ã®ãŸã‚。ã“ã‚Œã¯ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã˜ã‚ƒãªã„よã€ã‚ªãƒ—ティマイザ/エクゼã‚ュータã®æ©Ÿèƒ½æ¯”較ã§ã™ã€‚ 自分ã§å†ç¢ºèªã—ãŸã„å ´åˆã¯ã“ã¡ã‚‰ã«ã‚¹ã‚¯ãƒªãƒ—ト群ã¨å®Ÿé¨“ã®ã‚„り方を簡å˜ã«æ›¸ã„ãŸã®ã§å‚ç…§ã®ã“ã¨ã€‚ 調査環境 åŒä¸€ãƒžã‚·ãƒ³ã«MySQL5.6.14ã€MariaDB10.0.4ã€
PostgreSQL 9.3 released!
The PostgreSQL Global Development Group announces the release of PostgreSQL 9.3, the latest version of the world's leading open source relational database system. This release expands PostgreSQL's reliability, availability, and ability to integrate with other databases. Users are already finding that they can build applications using version 9.3 which would not have been possible before. "PostgreS
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PostgreSQLã®ãƒã‚°è¨å®š - Asterisk works Wiki
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スãƒãƒ¼ã‚¯ã‚¨ãƒªã®åˆ†æž — Let's Postgres
NTT オープンソースソフトウェアセンタ æ¿åž£ 貴裕 スãƒãƒ¼ã‚¯ã‚¨ãƒª (時間ã®ã‹ã‹ã‚‹SQL) を発見ã™ã‚‹ã¾ã§ã®æ‰‹é †ã‚’解説ã—ã¾ã™ã€‚スãƒãƒ¼ã‚¯ã‚¨ãƒªåˆ†æžã¨æ”¹å–„ã¯ä»¥ä¸‹ã®æµã‚Œã§è¡Œã†ã“ã¨ã«ãªã‚Šã¾ã™ã€‚ã“ã®è¨˜äº‹ã§ã¯ä¸»ã« 1. ã®ã‚¹ãƒãƒ¼ã‚¯ã‚¨ãƒªã®ç‰¹å®šæ–¹æ³•ã«ã¤ã„ã¦è§£èª¬ã—ã¾ã™ã€‚2.ã«ã¤ã„ã¦ã¯ã€Žã‚¹ãƒãƒ¼ã‚¯ã‚¨ãƒªã®æ”¹å–„ã€ã‚’å‚考ã«ã—ã¦ãã ã•ã„。 ã©ã®SQLãŒé…ã„ã®ã‹ã‚’見ã¤ã‘る。 ãã®SQLãŒãªãœæ™‚é–“ãŒã‹ã‹ã‚‹ã®ã‹ã‚’判æ–ã™ã‚‹ã€‚ è¨å®šãƒ‘ラメータã€SQLã€ã‚¹ã‚ーマãªã©ã‚’改善ã™ã‚‹ã€‚ ç€ç›®ã—ãŸSQLã®æ€§èƒ½ã‚’å†æ¸¬å®šã—ã€2. ã‹ã‚‰ç¹°ã‚Šè¿”ã™ã€‚ ç€ç›®ã—ãŸSQLã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ãŒå®Œäº†ã—ãŸã‚‰ã€ä»–ã®ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã‚’探ã™ãŸã‚ 1. ã‹ã‚‰ç¹°ã‚Šè¿”ã™ã€‚ スãƒãƒ¼ã‚¯ã‚¨ãƒªã®è¦‹ã¤ã‘æ–¹ スãƒãƒ¼ã‚¯ã‚¨ãƒªã‚’見ã¤ã‘ã‚‹ã«ã¯ã€å¤§ãã分ã‘ã¦çµ±è¨ˆæƒ…å ±ãƒ“ãƒ¥ãƒ¼ã‚’ä½¿ã†æ–¹æ³•ã¨ã€ã‚µãƒ¼ãƒãƒã‚°ã‚’使ã†æ–¹æ³•ã®2ã¤ãŒã‚ã‚Šã¾ã™ã€‚çµ±è¨ˆæƒ…å ±ãƒ“ãƒ¥ãƒ¼ã‚’ä½¿ã†æ–¹æ³•ã¯ PostgreSQL 8.4 以é™ã§ã—ã‹åˆ©ç”¨ã§ãã¾ã›ã‚“ãŒ
ãƒã‚°é–¢é€£ã®è¨å®š — Let's Postgres
NTT オープンソースソフトウェアセンタ ç¬ åŽŸ è¾°ä» PostgreSQL ã§ã®ãŠã™ã™ã‚ã§ãã‚‹ãƒã‚°ã®è¨å®šã‚’ãŠçŸ¥ã‚‰ã›ã—ã¾ã™ã€‚ã“ã“ã§ã„ã†ãƒã‚°ã¨ã¯ã€PostgreSQL ã§ç™ºç”Ÿã—ãŸã‚¨ãƒ©ãƒ¼ã‚„è¦å‘Šãªã©ã®å•é¡Œã‚’記録ã™ã‚‹ã‚µãƒ¼ãƒãƒã‚°ã‚’指ã—ã¾ã™ã€‚ãƒã‚°ã«é–¢ã™ã‚‹è¨å®šã¯ã€PostgreSQLã®é‹ç”¨ã‚’始ã‚ã‚‹éš›ã«æœ€ã‚‚注æ„ã™ã¹ãパラメータè¨å®šã®ä¸€ã¤ã§ã™ã€‚ãƒã‚°ã¯å•é¡Œç™ºç”Ÿã®æœ‰ç„¡ã‚„å•é¡Œã®åŽŸå› を切り分ã‘ã‚‹éš›ã«ã€éžå¸¸ã«é‡è¦ãªæƒ…å ±ã¨ãªã‚Šã¾ã™ã€‚é©åˆ‡ãªãƒã‚°ã®é‹ç”¨ã«å‘ã‘ã¦ã€ä¸‹è¨˜ã‚’å‚考ã«ã—ã¦ã¿ã¦ãã ã•ã„。 ãƒã‚°é‹ç”¨é–¢é€£ã®ãƒ‘ラメータè¨å®š PostgreSQLã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆè¨å®šï¼ˆã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã‹ã‚‰ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ï¼‰ã§ã¯ã€ãƒã‚°ã¯æ®‹ã•ãªã„è¨å®šã«ãªã£ã¦ã„ã¾ã™ã€‚インストールã«ä½¿ã£ãŸãƒ‘ッケージã«ã‚ˆã£ã¦ã¯ã€åˆã‚ã‹ã‚‰ãƒã‚°ã‚’残ã™ã‚ˆã†è¨å®šãƒ•ã‚¡ã‚¤ãƒ«ãŒã‚«ã‚¹ã‚¿ãƒžã‚¤ã‚ºã•ã‚Œã¦ã„ã‚‹ã“ã¨ã‚‚ã‚ã‚Šã¾ã™ãŒã€ã¾ãšã¯ã€ç¢ºå®Ÿã«ãƒã‚°ã‚’残ã™ãŸã‚ã®è¨å®šã‚’è¡Œã„ã¾ã—ょã†ã€‚ ãƒã‚°ã®é‹ç”¨ã¨ã—ã¦ã¯å¤§ãã3パ
[pgsql-jp: 38276] Re: データã®å¾©æ—§ã«ã¤ã„ã¦
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PostgreSQL安定é‹ç”¨ã®ã‚³ãƒ„2009 @hbstudy#5
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PostgreSQL 8.5 ã®æ–°æ©Ÿèƒ½ — Let's Postgres
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