informatique:sql
Différences
Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédente | ||
| informatique:sql [11/04/2020 15:01] – [Articles] cyrille | informatique:sql [24/08/2025 09:12] (Version actuelle) – [Manipulons ce qui n'est pas] cyrille | ||
|---|---|---|---|
| Ligne 10: | Ligne 10: | ||
| * [[https:// | * [[https:// | ||
| - | Optimisation MySQL Par Laurent DECORPS \\ | ||
| - | http:// | ||
| - | |||
| - | Optimisation MySQL | ||
| - | http:// | ||
| - | Autres conseils d' | ||
| - | http:// | ||
| ===== Tips ===== | ===== Tips ===== | ||
| + | |||
| + | ==== Sql Join ==== | ||
| + | |||
| + | * (INNER) JOIN: Select records that have matching values in both tables. | ||
| + | * LEFT (OUTER) JOIN: Select records from the first (left-most) table with matching right table records. | ||
| + | * RIGHT (OUTER) JOIN: Select records from the second (right-most) table with matching left table records. | ||
| + | * FULL (OUTER) JOIN: Selects all records that match either left or right table records. | ||
| + | * All INNER and OUTER keywords are optional | ||
| + | |||
| + | Docs: | ||
| + | * [[https:// | ||
| + | * [[https:// | ||
| + | |||
| + | Et pour un '' | ||
| + | |||
| + | <code sql> | ||
| + | UPDATE `table_a` a | ||
| + | LEFT JOIN `table_b` b ON a.id = b.id | ||
| + | SET a.password = ' | ||
| + | WHERE b.id = 195812 | ||
| + | </ | ||
| ==== Données Hiérarchiques (Nested Categories) ==== | ==== Données Hiérarchiques (Nested Categories) ==== | ||
| Ligne 51: | Ligne 65: | ||
| ou encore: sélection des lignes orphelines. | ou encore: sélection des lignes orphelines. | ||
| - | === Question | + | **Question** |
| I've got a SELECT query that I would like to transform as a DELETE query , | I've got a SELECT query that I would like to transform as a DELETE query , | ||
| Ligne 79: | Ligne 93: | ||
| Have you got a idea about it ??? | Have you got a idea about it ??? | ||
| - | === Answer | + | **Answer** |
| DELETE FROM Words WHERE IID NOT IN | DELETE FROM Words WHERE IID NOT IN | ||
| ( SELECT Words_ID FROM Feedbacks_has_Words ) | ( SELECT Words_ID FROM Feedbacks_has_Words ) | ||
| - | ==== Insertions ==== | + | **Question** |
| + | Avec une base de données sqlite avec 2 tables. Une table contient les stations métérologiques et une table contient les mesures de températures journalières pour ces stations. Comment trouver en SQL les dates et les stations pour lesquelles il manque des mesures ? | ||
| + | |||
| + | **Réponse** | ||
| + | |||
| + | <code sql> | ||
| + | SELECT s.id, s.name AS nom_station, | ||
| + | FROM stations s | ||
| + | CROSS JOIN ( | ||
| + | SELECT DISTINCT measured_at FROM measures | ||
| + | ) AS dates | ||
| + | LEFT JOIN measures m ON s.id = m.station_id AND dates.measured_at = m.measured_at | ||
| + | WHERE m.station_id IS NULL | ||
| + | ORDER BY s.id, dates.measured_at; | ||
| + | </ | ||
| + | |||
| + | ** Question ** | ||
| + | |||
| + | Dans la bdd de [[https:// | ||
| + | |||
| + | Et contourner l' | ||
| + | |||
| + | ** Réponse ** | ||
| + | |||
| + | <code sql> | ||
| + | delete T1 FROM subscriber_table as T1 join ( | ||
| + | | ||
| + | left join list_table lt on lt.name_list = st.list_subscriber | ||
| + | where lt.name_list is null | ||
| + | group by st.list_subscriber | ||
| + | ) as T2 on T2.list_subscriber = T1.list_subscriber ; | ||
| + | </ | ||
| + | |||
| + | ==== Insertions ==== | ||
| **Question** | **Question** | ||
| Ligne 112: | Ligne 159: | ||
| REPLACE --> http:// | REPLACE --> http:// | ||
| + | |||
| + | |||
| + | **pour les accès concurrents avec SELECT FOR UPDATE en SQL** | ||
| + | * https:// | ||
| + | * https:// | ||
| + | |||
| + | ==== Supprimer doublons ==== | ||
| + | |||
| + | https:// | ||
| + | |||
| + | Compter les doublons: | ||
| + | <code sql> | ||
| + | SELECT count(*) as DOUBLON, employee_id | ||
| + | FROM globalstatements | ||
| + | group by employee_id | ||
| + | having count(*) > 1 | ||
| + | limit 100000 | ||
| + | </ | ||
| + | |||
| + | Les supprimer: | ||
| + | <code sql> | ||
| + | delete G1 from globalstatements G1 | ||
| + | LEFT OUTER JOIN ( | ||
| + | SELECT MIN(id) as id, employee_id | ||
| + | FROM globalstatements | ||
| + | GROUP BY employee_id | ||
| + | ) as G2 | ||
| + | ON G1.id = G2.id | ||
| + | WHERE G2.id IS NULL | ||
| + | ; | ||
| + | </ | ||
| + | |||
| + | ==== Supprimer dans plusieurs tables ==== | ||
| + | |||
| + | Supprimer les lignes dans les tables wp2r_posts et wp2r_postmeta : | ||
| + | |||
| + | <code sql> | ||
| + | DELETE m , p | ||
| + | FROM wp2r_posts p INNER JOIN wp2r_postmeta m | ||
| + | WHERE m.post_id= p.ID | ||
| + | and p.post_type=" | ||
| + | </ | ||
| + | |||
| ===== Tools ===== | ===== Tools ===== | ||
| Ligne 117: | Ligne 207: | ||
| ==== MySQL Workbench ==== | ==== MySQL Workbench ==== | ||
| + | [[/ | ||
| ==== HeidiSQL ==== | ==== HeidiSQL ==== | ||
| + | https:// | ||
| + | |||
| + | HeidiSQL runs fine on Windows 8 and 10 (and on Windows 7 + 11 with some minor issues). | ||
| ==== Tora ==== | ==== Tora ==== | ||
| Ligne 126: | Ligne 220: | ||
| In addition to regular query and data browsing functionality, | In addition to regular query and data browsing functionality, | ||
| + | |||
| + | ==== DB Browser for SQLite ==== | ||
| + | |||
| + | https:// | ||
| + | |||
informatique/sql.1586610075.txt.gz · Dernière modification : de cyrille
