GitHub - frsyuki/trino_sql_parser: Parse a SQL using Presto's native SQL parser and reports syntax errorsYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
DBeaver Community | Free Universal Database Tool
Basic support for relational databases: MySQL, SQL Server, PostgreSQL and others Data Editor SQL Editor Database schema editor DDL Basic ER Diagrams Basic charts Data export/import Task management Database maintenance tools All DBeaver Community featuresAdvanced securityAdvanced support for relational databasesConnection through ODBC driversNoSQL databases support: MongoDB, Cassandra, Redis, Couch
ã™ã¹ã¦ã®ã‚¨ãƒ‡ã‚£ã‚¿ã§SQLã®è‡ªå‹•è£œå®Œã‚’ã™ã‚‹ãŸã‚ã«SQL Language Server(sqls)を作ã£ãŸ - Qiita
sqlsã¨ã¯ sqlsã¨ã¯ã€ã„ã¾ç§ãŒé–‹ç™ºä¸ã®SQL用Language Serverã§ã™ã€‚SQLをエディタã§ç·¨é›†ã™ã‚‹ã¨ãã®æ”¯æ´æ©Ÿèƒ½ã‚’実装ã—ãŸã‚µãƒ¼ãƒã¨ãªã£ã¦ãŠã‚Šã€ä¸»ãªç‰¹å¾´ã¯ä»¥ä¸‹ã§ã™ã€‚ Language Serverãªã®ã§LSクライアントãŒå˜åœ¨ã™ã‚‹ã‚¨ãƒ‡ã‚£ã‚¿ã§ã‚ã‚Œã°ã©ã‚“ãªã‚¨ãƒ‡ã‚£ã‚¿ã§ã‚‚利用å¯èƒ½ SQL編集支æ´æ©Ÿèƒ½ 自動補完(テーブルåã€ã‚«ãƒ©ãƒ åãªã©) 定義å‚ç…§ SQL実行 複数ã®RDSMSã«å¯¾å¿œ MySQL PostgreSQL SQLite3 Language Serverã¨ã¯ Language Server(ã‚ã‚‹ã„ã¯Language Server Protocol)ã¨ã¯ã€ãƒ—ãƒã‚°ãƒ©ãƒ 言語ã®é–‹ç™ºæ”¯æ´æ©Ÿèƒ½ã‚’エディタã«æä¾›ã™ã‚‹ã‚µãƒ¼ãƒã€ãŠã‚ˆã³ãã®é€šä¿¡å†…容をè¦å®šã—ãŸãƒ—ãƒãƒˆã‚³ãƒ«ã§ã™ã€‚ãŸã ã—サーãƒã¨ã„ã£ã¦ã‚‚ã»ã¨ã‚“ã©ã®å ´åˆãƒãƒ¼ã‚«ãƒ«å†…ã«ãƒ›ã‚¹ãƒ†ã‚£ãƒ³ã‚°ã—ã¦ãƒãƒ¼ã‚«ãƒ«ã®ã‚¨ãƒ‡ã‚£ã‚¿ã¨é€šä¿¡ã‚’ã—ã¾ã™ã€‚ ã“ã“ã§ã¯ä¸»é¡Œã§ã¯ãªã„ã®ã§è©³ã—
Foreign data wrappers - PostgreSQL wiki
Foreign Data Wrappers In 2003, a new specification called SQL/MED ("SQL Management of External Data") was added to the SQL standard. It is a standardized way of handling access to remote objects from SQL databases. In 2011, PostgreSQL 9.1 was released with read-only support of this standard, and in 2013 write support was added with PostgreSQL 9.3. There are now a variety of Foreign Data Wrappers (
SQLå¦ç¿’オンラインサービス「Start-SQLã€ã‚’リリースã—ã¾ã—㟠- GoTheDistance
ã“ã‚“ãªæ„Ÿã˜ã§ã€ãƒ–ラウザã§SQLを書ã„ã¦ç’°å¢ƒæ§‹ç¯‰ä¸€åˆ‡ä¸è¦ã§SQLã‚’å¦ã¹ã‚‹ã¨ã„ã†Webサービスã§ã™ã€‚ ä»ŠåŒ—ç”£æ¥ SQL言語ã®ã¿ã‚’サãƒãƒ¼ãƒˆã—ã¦ã„ã¾ã™ã€‚ 環境構築一切ä¸è¦ã§ã€ç„¡æ–™ã§ãŠè©¦ã—出æ¥ã¾ã™ã€‚ コンテンツã«ã¯ç„¡æ–™ã¨æœ‰æ–™ã®2ã¤ãŒã‚ã‚Šã€æœ‰æ–™ç‰ˆã¯â€è²·ã„切りâ€ã§ã€5000円ã§ã™ã€‚å…¨ã¦ã®ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ãŒãŠæ¥½ã—ã¿é ‚ã‘ã¾ã™ã€‚ 圧倒的ã«ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã‚’è²·ã†ãƒ‹ãƒ¼ã‚ºãŒå¼·ã‹ã£ãŸ 2019å¹´8æœˆé ƒã«ã€Œç ”修サービスã®ãƒ—ラットフォームã¨ã—ã¦ã€å‘ŠçŸ¥ã‚’ã—ãŸã®ã§ã™ãŒã€çµè«–ã‹ã‚‰è¨€ã†ã¨ã€Œè¬›å¸«ã‚„ç ”ä¿®ã¯åˆ¥ã«ã„らんã€ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã ã‘売ã£ã¦ãã‚Œã€ãŒå€‹äºº / 法人共ã«ã€åœ§å€’çš„ã«å¤šã‹ã£ãŸãŸã‚ã€ä¼šå“¡ç™»éŒ²/ãƒã‚°ã‚¤ãƒ³/マイページ/コンテンツ購入/パスワードリマインダãªã©ã®æ©Ÿèƒ½ã‚’別途付与ã—ã¦ã€Webサービスã¨ã—ã¦ãƒªãƒªãƒ¼ã‚¹ã—ã¾ã—ãŸã€‚ è²·ã„切りã«ã—ãŸç†ç”± コンテンツを定期的ã«è¿½åŠ ã™ã‚‹äºˆå®šãŒå…¨ãç„¡ã„ãŸã‚ã§ã™ã€‚月é¡åˆ¶ã«ã™ã‚‹ãªã‚‰ã»ã£ã¨ã„ã¦ã‚‚コンテンツãŒå¢—ãˆã¦ã„ã‹ãã°ãªã‚Š
SQLã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã¨ãã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«ã¤ã„ã¦ã®ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ãƒ–ック
開発者å‘ã‘ã®SQLインデックス解説サイトã€ç®¡ç†ã«ã¤ã„ã¦ã®é–“é•ã„ãªã„知è˜ã‚’æä¾›ã—ã¾ã™ã€‚ インデックスã¯é–‹ç™ºæ™‚ã«ã¯å¿˜ã‚Œã‚‰ã‚ŒãŒã¡ã§ã‚る一方ã§ã€éžå¸¸ã«åŠ¹æžœçš„ãªSQLã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æ–¹æ³•ã§ã™ã€‚Use The Index, Lukeã§ã¯ã€Hibernateãªã©ã®ORMツールã®è§£èª¬ã«ã¨ã©ã¾ã‚‰ãšã€SQLã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«ã¤ã„ã¦åŸºç¤Žã‹ã‚‰èª¬æ˜Žã—ã¾ã™ã€‚ Use The Index, Lukeã¯SQLパフォーマンス詳解ã®Web上ã®ç„¡æ–™ç‰ˆã§ã™ã€‚サイトを気ã«å…¥ã£ã¦é ‚ã‘ãŸã‚‰ã€ãœã²æ›¸ç±ã‚‚購入ã—ã¦ã¿ã¦ä¸‹ã•ã„。ã¾ãŸã€ã“ã®ã‚µã‚¤ãƒˆã®é‹å–¶ã‚’サãƒãƒ¼ãƒˆã™ã‚‹æ§˜ã€…ãªã‚°ãƒƒã‚ºã‚‚販売ã—ã¦ã„ã¾ã™ã€‚ MySQLã€Oracleã€SQL Serverãªã©ã«ãŠã‘ã‚‹SQLã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹Use The Index, Lukeã§ã¯ã€ãƒ™ãƒ³ãƒ€ã«ã¨ã‚‰ã‚ã‚Œãªã„インデックスã®èª¬æ˜Žã‚’心ãŒã‘ã¦ã„ã¾ã™ã€‚製å“特有ã®äº‹æŸ„ã«ã¤ã„ã¦ã¯ã€ä»¥ä¸‹ã®ã‚ˆã†ãªè¡¨ç¤ºã‚’ã—ã¦ã„ã¾ã™ã€‚ Db2 (LUW)U
SQLã®é–“é•ã„集2 MySQLã®ãƒ¦ãƒ¼ã‚¶å¤‰æ•°ã¯è©•ä¾¡é †åºãŒæœªå®šç¾© - Qiita
select ID,@rn := @rn+1 as Rn from IDTable,(select @rn := 0) as Init order by ID; +----+------+ | ID | Rn | +----+------+ | 1 | 1 | | 3 | 2 | | 5 | 3 | | 10 | 4 | | 20 | 5 | | 30 | 6 | | 40 | 7 | +----+------+ マニュアル(日本語)より引用 http://download.nust.na/pub6/mysql/doc/refman/5.1/ja/user-variables.html MySQL 5.1 リファレンスマニュアル :: 8.4 ユーザã«ã‚ˆã£ã¦å®šç¾©ã•ã‚ŒãŸå¤‰æ•° ユーザ変数ã®è©•ä¾¡é †åºã¯å®šç¾©ã•ã‚Œã¦ãŠã‚‰ãšã€ä¸Žãˆã‚‰ã‚ŒãŸã‚¯ã‚¨ãƒªå†…ã®è¦ç´ ã«åŸºã¥ã„ã¦å¤‰æ›´ã•ã‚Œã‚‹ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ SELECT @
PartiQL :: PartiQL
PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a quer
MySQL 8.0ã®å†å¸°Withå¥ã®ã‚µãƒ³ãƒ—ル集
CodeZine編集部ã§ã¯ã€ç¾å ´ã§æ´»èºã™ã‚‹ãƒ‡ãƒ™ãƒãƒƒãƒ‘ーをスターã«ã™ã‚‹ãŸã‚ã®ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã€ŒDevelopers Summitã€ã‚„ã€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ç”Ÿãã–ã¾ã‚’ブーストã™ã‚‹ãŸã‚ã®ã‚¤ãƒ™ãƒ³ãƒˆã€ŒDevelopers Boostã€ãªã©ã€ã•ã¾ã–ã¾ãªã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã‚’ä¼ç”»ãƒ»é‹å–¶ã—ã¦ã„ã¾ã™ã€‚
What’s New in SQL:2016
In December 2016, ISO released a new version of the international SQL standard (ISO/IEC 9075:2016). It supersedes the previous version from 2011. This article is a brief overview of the new features being introduced into the SQL language. Strictly speaking, this article covers the additions to part 2 of the standard (SQL/Foundation), i.e. the most commonly used part. This article also shows the av
第11回インターãƒãƒƒãƒˆã¨é‹ç”¨æŠ€è¡“シンãƒã‚¸ã‚¦ãƒ （IOTS2018）ã§ç ”究発表をã—ã¾ã—㟠- ãƒšãƒ‘ãƒœç ”ç©¶æ‰€ãƒ–ãƒã‚°
ãƒšãƒ‘ãƒœç ”ç©¶æ‰€ ç ”ç©¶å“¡ã®é‡Žæ‘(@Komei5296)ã§ã™ã€‚2018å¹´12月6æ—¥ã¨7æ—¥ã«ç±³åコンベンションセンターã§é–‹å‚¬ã•ã‚ŒãŸã€ç¬¬11回インターãƒãƒƒãƒˆã¨é‹ç”¨æŠ€è¡“シンãƒã‚¸ã‚¦ãƒ （IOTS2018）ã§ã€ç ”究発表を行ã„ã¾ã—ãŸã®ã§ç´¹ä»‹ã—ã¾ã™ã€‚ Webアプリケーションテストを用ã„ãŸSQLクエリã®ãƒ›ãƒ¯ã‚¤ãƒˆãƒªã‚¹ãƒˆè‡ªå‹•ä½œæˆæ‰‹æ³• Webサービスã§ã¯ã€Webアプリケーションã®è„†å¼±æ€§ã‚’利用ã—ã¦ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«ä¸æ£ã‚¯ã‚¨ãƒªã‚’発行ã—ã€æ©Ÿå¯†æƒ…å ±ã‚’çªƒå–ã™ã‚‹æ”»æ’ƒãŒç™ºç”Ÿã—ã¾ã™ã€‚ ã“ã“ã§ã„ã†ä¸æ£ã‚¯ã‚¨ãƒªã¨ã¯ã€æ”»æ’ƒã«ã‚ˆã£ã¦ç”Ÿã˜ã‚‹é–‹ç™ºè€…ã®æƒ³å®šå¤–ã®ã‚¯ã‚¨ãƒªã®ã“ã¨ã‚’指ã—ã¾ã™ã€‚ ã“ã®ã‚ˆã†ãªæ”»æ’ƒã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ä¸Šã®æƒ…å ±ã‚’ä¿è·ã™ã‚‹ãŸã‚ã«ã€ä¸æ£ã‚¯ã‚¨ãƒªã‚’検知ã™ã‚‹æ–¹æ³•ãŒå¿…è¦ã¨ãªã‚Šã¾ã™ã€‚ ä¸æ£ã‚¯ã‚¨ãƒªã‚’検知ã™ã‚‹æ–¹æ³•ã¨ã—ã¦ã€WebアプリケーションãŒç™ºè¡Œã™ã‚‹ã‚¯ã‚¨ãƒªã‚’手動ã§ãƒ›ãƒ¯ã‚¤ãƒˆãƒªã‚¹ãƒˆã«ç™»éŒ²ã—ã€ãã®ãƒªã‚¹ãƒˆã«åˆè‡´ã—ãªã„クエリを検知ã™ã‚‹æ–¹æ³•ãŒã‚ã‚Šã¾ã™ã€‚ ã—ã‹ã—ã€ã“ã®æ–¹æ³•
CSV ã« SELECT / UPDATE クエリを実行ã§ãã‚‹ VS Code ã®æ‹¡å¼µæ©Ÿèƒ½ã€ŒRainbow CSV〠- kakakakakku blog
定期的㫠CSV ã‹ã‚‰ãƒ‡ãƒ¼ã‚¿ã‚’抽出ã™ã‚‹æ©Ÿä¼šãŒã‚り，抽出æ¡ä»¶ã«ã‚ˆã£ã¦ï¼Œä»Šã¾ã§ã¯ä»¥ä¸‹ã®ã‚ˆã†ãªæ–¹æ³•ã‚’使ã£ã¦ã„ãŸï¼Ž CSV ã‚’ Excel ã§é–‹ã„ã¦ãƒ•ã‚£ãƒ«ã‚¿ãƒ¼ã‚’使ã†æ–¹æ³• CSV ã‚’ grep / egrep ãªã©ã® Linux コマンドã§çµžã‚Šè¾¼ã‚€æ–¹æ³• CSV ã‚’Amazon S3 ã«ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã—㦠Amazon S3 Select ã§ã‚¯ã‚¨ãƒªã‚’実行ã™ã‚‹æ–¹æ³• Rainbow CSV æ–°ã—ã„方法ã¨ã—㦠VS Code ã®æ‹¡å¼µæ©Ÿèƒ½ã€ŒRainbow CSVã€ã‚’試ã™ã“ã¨ã«ã—ãŸï¼ŽRainbow CSV ã«ã¯å¤šãã®æ©Ÿèƒ½ãŒã‚り，例ãˆã°ã€Œãƒã‚¤ãƒ©ã‚¤ãƒˆã€ã‚„「CSVLintã€ã‚„「RBQL (RainBow Query Language)ã€ãŒã‚る．データを抽出ã™ã‚‹ç”¨é€”ã ã‘ã§ãªã，CSV を確èªã™ã‚‹ã¨ãã«ã‚‚便利ã§ï¼Œæ™®æ®µã‹ã‚‰ä½¿ãˆã‚‹æœ€é«˜ã®æ‹¡å¼µæ©Ÿèƒ½ã ã£ãŸï¼Žä»¥ä¸‹ã‹ã‚‰ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã§ãる． marketplace.visualstudi
JOIN ON ã§çµžã‚Šè¾¼ã¿æ¡ä»¶ã‚’入れるã®ã¨ã€JOIN ONã®å¾ŒWHEREå¥ã§çµžã‚Šè¾¼ã¿æ¡ä»¶ã‚’入れるã®ã¨ã§ã¯ã€çµæžœãŒé•ã†ä»¶ - ãªã‹ã‚‰ãªLife
MySQL Casual Advent Calendar 2016 - Qiita 12日目ã®è¨˜äº‹ã§ã™ã€‚ ã¾ã•ã‹ã®3回目。もã†ãƒ リ。。。 JOIN ONå¥ã§çµåˆæ¡ä»¶ã§ã¯ãªã絞込æ¡ä»¶ã‚’書ãã“ã¨ãŒã§ãã‚‹ã“ã¨ã‚’ã€çŸ¥ã‚‰ãªã‹ã£ãŸã®ã§ã™ã€‚ 具体的ãªå称ãŒã‚ã‹ã‚‰ãªã„＆検索ã«ã‚‚ヒットã—ã«ãã„ã®ã§ã€å‹æ‰‹ã«åå‰ã‚’ã¤ã‘ã¾ã—ãŸã€‚ 「JOINã«ç›´å€¤ã€ ã‚ã‹ã‚Šã«ãã„ã¨æ€ã†ã®ã§ã€ã‚µãƒ³ãƒ—ルSQL書ãã¾ã™ã€‚ SELECT tbl_a.col1,tbl_b.col1 FROM tbl_a INNER JOIN tbl_b ON tbl_a.col1 = tbl_b.col1 AND tbl_a.col2 = 0; JOINã§ã¯ä¸€èˆ¬çš„ã«ã€Œè¡¨A JOIN 表B... ON 表A.列 = 表B.列ã€ã¨æ›¸ã„ã¦è¡¨åŒå£«ã‚’çµåˆã™ã‚‹ãŸã‚ã®æ¡ä»¶ã‚’書ãã¾ã™ãŒã€ã“ã“ã«ã€ä¸€æ–¹ã®è¡¨ã®çµžã‚Šè¾¼ã¿æ¡ä»¶ã‚’書ã‘ã‚‹ã‚“ã§ã™ã€‚ SQLã®æ•™ç§‘書的ãªæ›¸ç±ã§ã¯ã¾ãšè¦‹ã‹ã‘ã¾
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
GitHub - pganalyze/libpg_query: C library for accessing the PostgreSQL parser outside of the server environment
MySQL's AUTO_INCREMENT behavior in a multiple row insert
Following a Select Statement Through Postgres Internals
GitHub - pganalyze/pg_query: Ruby extension to parse, deparse and normalize SQL queries using the PostgreSQL query parser
GitHub - sqlc-dev/sqlc: Generate type-safe code from SQL
Offset and Cursor Pagination explained
GitHub - noborus/trdsql: CLI tool that can execute SQL queries on CSV, LTSV, JSON, YAML and TBLN. Can output to various formats.
{{#tags}}- {{label}}
{{/tags}}