[å°ãƒã‚¿] SQLã® GROUP BY / ORDER BY ã«ã¯æ•°å— (1, 2...) を指定ã—よㆠ- Qiita
-------------------------------------------------------- -- users テーブルã«ã¤ã„ã¦ã€éƒ¨ç½²ãƒ»å½¹è·ãƒ»ä½œæˆæ—¥ã”ã¨ã«ä»¶æ•°ã‚’集計ã™ã‚‹ -- (MySQL用) -------------------------------------------------------- SELECT u.department_code `部署コード`, u.role_code `å½¹è·ã‚³ãƒ¼ãƒ‰`, DATE_FORMAT(u.created_at, '%Y-%m-%d') `作æˆæ—¥`, COUNT(*) `人数` FROM users u GROUP BY u.department_code, u.role_code, DATE_FORMAT(u.created_at, '%Y-%m-%d') ORDER BY u.department_code ASC
![[å°ãƒã‚¿] SQLã® GROUP BY / ORDER BY ã«ã¯æ•°å— (1, 2...) を指定ã—よㆠ- Qiita](https://cdn-ak-scissors.b.st-hatena.com/image/square/53a56ab3a66d4cb6943237e1b6a716a6fd2fbca3/height=288;version=1;width=512/https%3A%2F%2Fqiita-user-contents.imgix.net%2Fhttps%253A%252F%252Fcdn.qiita.com%252Fassets%252Fpublic%252Farticle-ogp-background-412672c5f0600ab9a64263b751f1bc81.png%3Fixlib%3Drb-4.0.0%26w%3D1200%26mark64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZ3PTk3MiZoPTM3OCZ0eHQ9JTVCJUU1JUIwJThGJUUzJTgzJThEJUUzJTgyJUJGJTVEJTIwU1FMJUUzJTgxJUFFJTIwR1JPVVAlMjBCWSUyMCUyRiUyME9SREVSJTIwQlklMjAlRTMlODElQUIlRTMlODElQUYlRTYlOTUlQjAlRTUlQUQlOTclMjAlMjgxJTJDJTIwMi4uLiUyOSUyMCVFMyU4MiU5MiVFNiU4QyU4NyVFNSVBRSU5QSVFMyU4MSU5NyVFMyU4MiU4OCVFMyU4MSU4NiZ0eHQtYWxpZ249bGVmdCUyQ3RvcCZ0eHQtY29sb3I9JTIzMUUyMTIxJnR4dC1mb250PUhpcmFnaW5vJTIwU2FucyUyMFc2JnR4dC1zaXplPTU2JnM9ZGE0YTMxMTZmMmIxMDM0NDk0YjcxOTAyZTRmYmQ3NmY%26mark-x%3D142%26mark-y%3D57%26blend64%3DaHR0cHM6Ly9xaWl0YS11c2VyLWNvbnRlbnRzLmltZ2l4Lm5ldC9-dGV4dD9peGxpYj1yYi00LjAuMCZoPTc2Jnc9NzcwJnR4dD0lNDBzc2Mta3NhaXRvdSZ0eHQtY29sb3I9JTIzMUUyMTIxJnR4dC1mb250PUhpcmFnaW5vJTIwU2FucyUyMFc2JnR4dC1zaXplPTM2JnR4dC1hbGlnbj1sZWZ0JTJDdG9wJnM9ODc1YWI0ZmU0Y2UxYzZjMmQ3ZTExMTdkNDJkYTBhODE%26blend-x%3D142%26blend-y%3D436%26blend-mode%3Dnormal%26txt64%3DaW4gU1NDIFImRA%26txt-width%3D770%26txt-clip%3Dend%252Cellipsis%26txt-color%3D%25231E2121%26txt-font%3DHiragino%2520Sans%2520W6%26txt-size%3D36%26txt-x%3D156%26txt-y%3D536%26s%3Db1d9e6c06055f91050fb82ce614c92b6)
SQLã§ã‚°ãƒ«ãƒ¼ãƒ—ã”ã¨ã«ä¸Šä½æ•°ä»¶ãšã¤å–å¾—ã™ã‚‹æ–¹æ³•(Window関数) - Qiita
numã®å¤§ãã„ã‚‚ã®ã‹ã‚‰ä¸Šä½5件ãšã¤å–å¾—ã™ã‚‹ nameã”ã¨ã«numã®å¤§ãã„ã‚‚ã®ã‹ã‚‰ä¸Šä½5件ãšã¤å–å¾—ã—ã¾ã™ã€‚ row_number()関数を使ã£ã¦numã®é™é †ã«ç•ªå·ã‚’付ã‘る。 row_number()ã®ä»£ã‚ã‚Šã«rank()関数を使ã†ã¨ãƒ©ãƒ³ã‚ングã®é †ä½ï¼ˆåŒé †ä½ã¯åŒã˜å€¤ï¼‰ã§å–å¾—ã§ãる。 select * from ( select name ,title ,num ,row_number() over (partition by name order by num desc) as rank from book ) where rank <= 5 window関数 ※ row_number()ã€rank()ã€avgãªã©è¡¨ã«ã¤ã‘ãŸã„関数を指定ã™ã‚‹ ⇒　集約関数ã¨ç•°ãªã‚Šè¡Œè‡ªä½“ã¯ã‚°ãƒ«ãƒ¼ãƒ—化ã›ãšã«ã‚«ãƒ©ãƒ ã‚’ä»˜åŠ ã™ã‚‹ã‚¤ãƒ¡ãƒ¼ã‚¸ ※ over　…　ウィンドウ関数を使ã†å®£è¨€ã®ã‚ˆã†ãªã‚‚ã®ï¼ˆã‚¦ã‚£ãƒ³ãƒ‰ã‚¦é–¢æ•°ã®å‡¦ç†å®šç¾©ï¼‰
SQL ã§ç¸¦æ¨ªå¤‰æ›ã¾ã¨ã‚（pivot 㨠unpivot） - Qiita
下図ã®ã‚ˆã†ã«ã€ã€Œç¸¦æŒã¡ã€ã®ãƒ†ãƒ¼ãƒ–ルを「横æŒã¡ã€ã«ç½®ãæ›ãˆã‚‹ã“ã¨ã‚’ピボット（pivot）ã€é€†ã«ã€Œæ¨ªæŒã¡ã€ã®ãƒ†ãƒ¼ãƒ–ルを「縦æŒã¡ã€ã«ç½®ãæ›ãˆã‚‹ã“ã¨ã‚’アンピボット（unpivot）ã¨å‘¼ã³ã¾ã™ã€‚ã“れらã®å¤‰æ›ã‚’è¡Œãªã†æ–¹æ³•ã‚’ã¾ã¨ã‚ã¾ã—ãŸã€‚ 標準SQL Presto Hive Pandas (Python) 標準SQL SQL-like ãªã‚¯ã‚¨ãƒªè¨€èªžãªã‚‰ã©ã“ã§ã‚‚使ãˆã‚‹æ›¸ãæ–¹ã§ã™ã€‚ Pivot SELECT uid, max(CASE WHEN key = 'c1' THEN value END) AS c1, max(CASE WHEN key = 'c2' THEN value END) AS c2, max(CASE WHEN key = 'c3' THEN value END) AS c3 FROM vtable GROUP BY uid ;
Using group by on multiple columns
I understand the point of GROUP BY x. But how does GROUP BY x, y work, and what does it mean?
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
presto: convert array to rows?
Prestoã§histogram関数を使ã£ã¦å¯è¦–化ã—ãŸã„ã¨ãã®ã‚¯ã‚¨ãƒªï¼ˆon TreasureData） - Qiita
How do I find percentages of a column using Hive/Presto
https://twitter.com/mootastic/status/1665864028793479171?s=12&t=YpIPcsjKfoTpmECNdRL-uwæ–°å±±ç¥ä»‹ (Yusuke Shinyama) on Twitter: "Lispã®æ–‡æ³•ã¯ã€Œä¸€æ§˜ (uniform)ã€ã§ã‚る。ã“ã®å¯¾æ¥µã«ã‚ã‚‹(specific) ã®ãŒSQLã§ã€SQLã®å¤šãã®æ–‡ã¯çµ„ã¿åˆã‚ã›å¯èƒ½ã§ãªãã€æ§‹æ–‡çš„ãªãƒžã‚¯ãƒã‚‚書ã‘ãªã„。多ãã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã¯ã“ã®ä¸é–“ã«ã‚る構文を採用ã—ã¦ã„る。 https://t.co/MRoEr
SELECT — Trino 455 Documentation
Presto array contains an element that likes some pattern
https://twitter.com/grahamian2317/status/1616813103085424640
Spark SQL - Add row number to DataFrame
Spark RDDs vs DataFrames vs SparkSQL
What do the blue blocks in spark stage DAG visualisation UI mean?
Spark SQL and DataFrames - Spark 2.3.1 Documentation
Md5 Column function on column in spark sql
Spark - How to create an empty DataFrame?
Spark - Add New Column & Multiple Columns to DataFrame
W3Schools.com
SQL SELECT with DISTINCT on multiple columns - w3resource
{{#tags}}- {{label}}
{{/tags}}