[B! sql] msyktã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

msykt id:msykt

sqlã«é–¢ã™ã‚‹msyktã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (11)

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GitHub - gluesql/gluesql: GlueSQL is quite sticky. It attaches to anywhere.
GlueSQL is a Rust library for SQL databases that includes a parser (sqlparser-rs), an execution layer, and a variety of storage options, both persistent and non-persistent, all in one package. It is a versatile tool for developers, supporting both SQL and its own query builder (AST Builder). GlueSQL can handle structured and unstructured data, making it suitable for a wide range of use cases. It i
msykt 2020/08/30
Rust ã§æ›¸ã‹ã‚ŒãŸãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚¨ãƒ³ã‚¸ãƒ³ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚GlueSQL-js ã‚’è¦‹ã‚‹é™ã‚Šã€ä»»æ„ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã«å¯¾ã—ã¦ SQL ã§å•ã„åˆã‚ã›ã§ãã‚‹ã‚ˆã†ã«ã™ã‚‹ã‚ˆã†ãªæ©Ÿèƒ½ã‚’æä¾›ã—ã¦ã„ã‚‹ã‚ˆã†ã«è¦‹ãˆã‚‹ã€‚é¢ç™½ãã†(Rust åˆ†ã‹ã‚“ãªã„ã‘ã©)

rust

sql
ãƒªãƒ³ã‚¯
AWSã€SQLäº’æ›ã®æ–°å•ã„åˆã‚ã›è¨€èªžã€ŒPartiQLã€ã‚’ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§å…¬é–‹ã€‚RDBã€KVSã€JSONã€CSVãªã©ã‚’ã¾ã¨ã‚ã¦æ¤œç´¢å¯èƒ½
Amazon Web Servicesï¼ˆä»¥ä¸‹AWSï¼‰ã¯ã€SQLäº’æ›ã®æ–°ã—ã„å•ã„åˆã‚ã›è¨€èªžãŠã‚ˆã³ãã®ãƒªãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹å®Ÿè£…ã§ã‚ã‚‹ã€ŒPartiQLã€ã‚’ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ã—ã¦å…¬é–‹ã—ãŸã“ã¨ã‚’ç™ºè¡¨ã—ã¾ã—ãŸã€‚ PartiQLã¯SQLäº’æ›ã®æ§‹æ–‡ã«æœ€å°é™ã®æ‹¡å¼µã‚’æ–½ã™ã“ã¨ã§ã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«å½¢å¼ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã ã‘ã§ãªãã€KVSã‚„JSONãªã©ã‚’å«ã‚€NoSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚„CSVãƒ•ã‚¡ã‚¤ãƒ«ãªã©ã€ã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿ã‚½ãƒ¼ã‚¹ã«å¯¾ã—ã¦æ¨ªæ–çš„ã«æ¤œç´¢ã§ãã‚‹å•ã„åˆã‚ã›è¨€èªžãŠã‚ˆã³ãã®ãƒªãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹å®Ÿè£…ã§ã™ã€‚ ä¸‹è¨˜ã¯PartiQLã‚’ç™ºè¡¨ã—ãŸãƒ–ãƒã‚°ã‹ã‚‰ã®å¼•ç”¨ã§ã™ã€‚ Today we are happy to announce PartiQL, a SQL-compatible query language that makes it easy to efficiently query data, regardless of where or in
msykt 2019/08/05
â€œPartiQLã®æ–‡æ³•ã¯JSON,ã‚„Parquetã‚„ORCã€CSVã‚„ãã®ã»ã‹ã®ã‚ã‚‰ã‚†ã‚‹ãƒ‡ãƒ¼ã‚¿ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã«ä¾å˜ã—ãªã„ã€‚â€

sql
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msykt 2019/07/13
â€œã‚¸ãƒ§ãƒ–å…¨ä½“ãŒ begin transaction; ã¨ commit; ã§å›²ã‚ã‚Œã¦ã„ã‚‹ã®ã§ã€ä»®ã«é›†è¨ˆã‚¯ã‚¨ãƒªã«å•é¡ŒãŒã‚ã‚Šå¤±æ•—ã—ãŸå ´åˆã¯ã€å…ƒã®ãƒ†ãƒ¼ãƒ–ãƒ«ã¯å‰Šé™¤ã•ã‚Œãšã«æ®‹ã‚Šã¾ã™ã€‚â€/ bricolage ãŒ drop table ç‰ã® DML ç™ºè¡Œã‚’ç®¡ç†ã—ã¦ã‚‹ã£ã¦ã“ã¨ã‹ãªï¼Ÿ

sql
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The Volcano/Cascades Optimizer
The document describes the Volcano/Cascades query optimizer. It uses dynamic programming to efficiently search the large space of possible query execution plans. The optimizer represents queries as logical and physical operators connected by transf ormation and implementation rules. It explores the logical plan space and then builds physical plans by applying these rules. The search is guided by es
msykt 2019/05/19
sql

volcano

optimizer
ãƒªãƒ³ã‚¯
Beyond EXPLAIN: Query Optimization From Theory To Code
EXPLAIN is too much explained. Let's go "beyond EXPLAIN". This talk will take you to an optimizer backstage tour: from theoretical background of state-of-the-art query optimization to close look at current implementation of PostgreSQL.Read less
msykt 2019/05/19
sql

postgesql

explain
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Google ã® SQL parser/analyzer ã® ZetaSQL ã¨ã¯ä½•ã§ã‚ã‚‹ã‹
2019å¹´4æœˆã« Google ã® SQL parser/analyzer ã® ZetaSQL ãŒå…¬é–‹ã•ã‚Œã¾ã—ãŸã€‚ ç¾åœ¨ BigQuery Standard SQL ã‚„ Cloud Spanner ã§å®Ÿè£…ã•ã‚Œã¦ã„ã‚‹ SQL æ–¹è¨€ã§ã‚ã‚Šã€ Cloud Next 2019 ã§ BigQuery UI ã‹ã‚‰ Cloud Dataflow ã§å®Ÿè¡Œã•ã‚Œã‚‹ãƒ‘ã‚¤ãƒ—ãƒ©ã‚¤ãƒ³ã‚’è¨˜è¿°ã§ãã‚‹æ©Ÿèƒ½ã¨ã—ã¦ç™ºè¡¨ã•ã‚ŒãŸ Cloud Dataflow SQL ã«ã‚‚ä½¿ã‚ã‚Œã‚‹ã“ã¨ãŒãƒ„ã‚¤ãƒ¼ãƒˆã‹ã‚‰ã‚‚è¦‹ã¦å–ã‚Œã¾ã™ã€‚ ZetaSQL ã«ã¤ã„ã¦ã¯ Google ã®å¤–ã®äººãŒã¾ã¨ã‚‚ã«è¨€åŠã—ã¦ã„ã‚‹ã®ã‚’è¦‹ãŸã“ã¨ãŒãªãã€èžã„ãŸã“ã¨ãŒãªã„ã‹æ§˜åè¦‹ã¨ã„ã†äººãŒå¤šã„ã¨æ€ã†ã®ã§åˆ†ã‹ã£ã¦ã„ã‚‹ã“ã¨ã‚’æ›¸ã„ã¦ã„ãã¾ã™ã€‚ æ—¢å˜ã®æ–‡çŒ®ã‹ã‚‰è¦‹ã‚‹ç´ æ€§ZetaSQL ã¯ Spanner ã® SQL å®Ÿè£…ã«ã¤ã„ã¦æ›¸ã‹ã‚ŒãŸ Spanner: Becoming a SQL Sys
msykt 2019/05/16
sql
ãƒªãƒ³ã‚¯
Emacsã§SQLæ–‡ã‚’æ•´å½¢ã™ã‚‹ - Qiita
ã¯ã˜ã‚ã« SQLæ–‡ã‚’æ•´å½¢ã™ã‚‹ã¨ã„ã†è¨˜äº‹ã‚’æ›¸ãã¾ã—ãŸã€‚ ãªãœã“ã‚“ãªã“ã¨ãŒã—ãŸã„ã‹ã¨ã„ã†ã¨ã€Emacsä¸Šã§SQLæ–‡ã‚’æ•´å½¢ã—ãŸã„ã‹ã‚‰ã§ã™ã€‚ Emacsã«ã¯shell-command-on-regionã¨ã„ã†é–¢æ•°ãŒã‚ã‚Šã¾ã™ã€‚ ã“ã‚Œã¯ã€ãƒªãƒ¼ã‚¸ãƒ§ãƒ³å†…ã®ãƒ†ã‚ã‚¹ãƒˆã‚’æ¨™æº–å…¥åŠ›ã«æ¸¡ã—ã¦å¤–éƒ¨ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’å®Ÿè¡Œã—ã¾ã™ã€‚ ãã—ã¦ã€ãã®çµæžœã§ãƒãƒƒãƒ•ã‚¡ã‚’æ›¸ãæ›ãˆã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ ã“ã‚Œã‚’åˆ©ç”¨ã—ã¦SQLæ–‡ã®æ•´å½¢ã‚’Emacsä¸Šã§è¡Œã†ã“ã¨ãŒã§ãã¾ã™ã€‚ å‰æº–å‚™ SQLã‚’æ•´å½¢ã™ã‚‹å¤–éƒ¨ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’ç”¨æ„ã—ã¾ã™ã€‚ æ¨™æº–å…¥å‡ºåŠ›ãŒä½¿ãˆã‚Œã°ãªã‚“ã§ã‚‚ã„ã„ã®ã§ã™ãŒã€ã“ã“ã§ã¯å‰è¿°ã®è¨˜äº‹ã§ä½œæˆã—ãŸæ‹™ä½œ(ã¨ã„ã£ã¦ã‚‚ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’å‘¼ã³å‡ºã™ã ã‘)ã®sql-formatterã‚’ä½¿ç”¨ã—ã¾ã™ã€‚Java(JRE)ãŒå¿…è¦ã§ã™ã€‚ https://github.com/sambatriste/sql-formatter/tree/master/binary ã‹ã‚‰jarã‚’ãƒ€
msykt 2016/10/15
Emacsã§SQLã‚’æ•´å½¢ã—ãŸã„ã“ã¨ãŒå¤šã€…ã‚ã‚‹ã®ã§åŠ©ã‹ã‚‹

emacs

sql
ãƒªãƒ³ã‚¯
SQLæ–‡ã‚’æ•´å½¢ã™ã‚‹ - Qiita
ã¯ã˜ã‚ã« ã‚³ãƒžãƒ³ãƒ‰ãƒ©ã‚¤ãƒ³ã‹ã‚‰SQLæ–‡ã‚’æ•´å½¢ã§ãã‚‹ãƒ„ãƒ¼ãƒ«ã‚’æŽ¢ã—ã¦ã„ã¾ã—ãŸãŒã€ ã‚ã¾ã‚Šæ°—ã«å…¥ã£ãŸã‚‚ã®ãŒãªãå›°ã£ã¦ã„ã¾ã—ãŸã€‚ ä»¥ä¸‹ã®URLã‚’è¦‹ã‚‹ã¨ã€Hibernateã®BasicFormatterImplã‚¯ãƒ©ã‚¹ã‚’ä½¿ãˆã°ã€ ã‹ã‚“ãŸã‚“ã«SQLæ–‡ã‚’æ•´å½¢ã§ãã‚‹ã“ã¨ãŒã‚ã‹ã‚Šã¾ã—ãŸã€‚ Looking for an embeddable SQL beautifier or reformatter Groovyã®å ´åˆ Groovyã®å ´åˆã¯éžå¸¸ã«ç°¡å˜ã§ã€ï¼‘ã¤ã®ã‚¹ã‚¯ãƒªãƒ—ãƒˆãƒ•ã‚¡ã‚¤ãƒ«ã§å®Ÿç¾ã§ãã¾ã™ã€‚ /** * æ¨™æº–å…¥åŠ›ã‹ã‚‰SQLæ–‡ã‚’èªã¿å–ã‚Šã€æ•´å½¢ã—ãŸSQLæ–‡ã‚’æ¨™æº–å‡ºåŠ›ã«å‡ºåŠ›ã—ã¾ã™ã€‚ */ @Grab(group='org.hibernate', module='hibernate-core', version='5.2.3.Final') import org.hibernate.engine.jdbc.intern
msykt 2016/10/15
ãªã‚‹ã»ã©ã“ã‚“ãªæ–¹æ³•ãŒã‚ã‚‹ã®ã‹ãƒ¼

sql

java
ãƒªãƒ³ã‚¯
SQLã‚¹ã‚¿ã‚¤ãƒ«ã‚¬ã‚¤ãƒ‰ - Qiita
ã¯ã˜ã‚ã« æœ¬æ–‡æ›¸ã¯SQLã®ã‚¹ã‚¿ã‚¤ãƒ«ã‚¬ã‚¤ãƒ‰ã§ã™ã€‚ Pythonã‚„Rubyã®ã‚ˆã†ãªãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã«ã¯æœ‰åãªã‚¹ã‚¿ã‚¤ãƒ«ã‚¬ã‚¤ãƒ‰ãŒã‚ã‚Šã€å…±é€šã®ãƒ¬ã‚¤ã‚¢ã‚¦ãƒˆãƒ«ãƒ¼ãƒ«ã«æ²¿ã£ãŸã‚¤ãƒ³ãƒ‡ãƒ³ãƒˆã‚„å‘½åè¦å‰‡ã«å‰‡ã£ãŸã‚³ãƒ¼ãƒ‰ãŒç”Ÿã¿å‡ºã•ã‚Œã¦ã„ã¾ã™ã€‚ ä¸€æ–¹ã€SQLã«ã¯çŸ¥ååº¦ã®ã‚ã‚‹çµ±ä¸€ã•ã‚ŒãŸã‚¹ã‚¿ã‚¤ãƒ«ã‚¬ã‚¤ãƒ‰ãŒã‚ã‚Šã¾ã›ã‚“ã€‚ ãã®ãŸã‚ã€æ€ã„ã®ã¾ã¾ã«æ›¸ã‹ã‚ŒãŸSQLãŒæ•£è¦‹ã•ã‚Œã¾ã™ã€‚ ã‚‚ã¡ã‚ã‚“ã€SQLã‚’ä½¿ã£ã¦ã‚¢ãƒ‰ãƒ›ãƒƒã‚¯ãªåˆ†æžã‚’è¡Œã†å ´åˆã¯ã€å¿…ãšã—ã‚‚ãƒ«ãƒ¼ãƒ«ã«æ²¿ã†å¿…è¦ã¯ãªãã€åŠ¹çŽ‡ã‚ˆãæ›¸ã„ã¦ã‚‚è‰¯ã„ã¨æ€ã„ã¾ã™ã€‚ ã—ã‹ã—ã€Webã‚µãƒ¼ãƒ“ã‚¹ã‚„ãƒãƒƒãƒã®ä¸ã«çµ„ã¿è¾¼ã‚€ã‚ˆã†ãªã‚‚ã®ã€ã¤ã¾ã‚Šè‡ªåˆ†ä»¥å¤–ã®èª°ã‹ã«èªã¾ã‚Œã‚‹SQLã¯ã€å¤šãã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžåŒæ§˜ã«ä½•ã‚‰ã‹ã®ã‚¹ã‚¿ã‚¤ãƒ«ã‚¬ã‚¤ãƒ‰ã«æ²¿ã†ã“ã¨ã§å¤šãã®ãƒ¡ãƒªãƒƒãƒˆã‚’äº«å—ã§ãã‚‹ã¨æ€ã„ã¾ã™ã€‚ ã‚¯ã‚¨ãƒªãŒæ§‹é€ åŒ–ã•ã‚Œã€å¯èªæ€§ãŒé«˜ã¾ã‚‹ ãƒã‚°ã®ç™ºè¦‹ã‚„ä¿®æ£ãŒå®¹æ˜“ã«ãªã‚‹ æ”¹è¡Œä½ç½®ã‚„ã‚¤ãƒ³ãƒ‡ãƒ³ãƒˆãªã©ã®ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã®æ‚©ã¿ãŒè§£æ¶ˆã•ã‚Œã‚‹ ã‚¹ã‚¿ã‚¤ãƒ«ã‚¬ã‚¤ãƒ‰ã‚’å…±
msykt 2015/12/30
IDEã˜ã‚ƒããªã¦æ•´å½¢ã—ã¦ãã‚Œã‚‹ã‚³ãƒžãƒ³ãƒ‰ãªã„ã‹ãª

sql
ãƒªãƒ³ã‚¯
Teradata Presto | Product Details | Open Source
Teradata Blogs When big data becomes vast, what's your data dropping strategy? Read more Support Teradata at Your Service (TAYS) Simple, secure customer access to products, services, education, and support function information. Read more Certifications Teradata Certified Professional Program (TCPP) Management, development, and oversight of the premiere Teradata Certification Program. Read more Con
msykt 2013/11/03
hadoop

sql
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msykt 2012/04/07
oracle

sql
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