SQL JOIN 依據共同欄位將兩個或多個表的資料列結合。掌握四大基本聯結類型,是撰寫高效查詢的關鍵基礎。
| 類型 | 關鍵字 | 回傳結果 | 視覺化 |
|---|---|---|---|
| 內部聯結 | INNER JOIN / JOIN | 僅雙方都符合條件的列 | 🔵∩🔴 |
| 左外部聯結 | LEFT JOIN / LEFT OUTER JOIN | 左表所有列 + 右表符合列(無則 NULL) | 🔵⊇🔴 |
| 右外部聯結 | RIGHT JOIN / RIGHT OUTER JOIN | 右表所有列 + 左表符合列(無則 NULL) | 🔵⊆🔴 |
| 全外部聯結 | FULL JOIN / FULL OUTER JOIN | 雙方所有列(無對應則 NULL) | 🔵∪🔴 |
+----+--------------+---------------------------+-------+---------+ | id | name | url | alexa | country | +----+--------------+---------------------------+-------+---------+ | 1 | Google | https://www.google.cm/ | 1 | USA | | 2 | 淘寶 | https://www.taobao.com/ | 13 | CN | | 3 | 菜鳥教程 | https://www.runoob.com/ | 4689 | CN | | 4 | 微博 | https://weibo.com/ | 20 | CN | | 5 | Facebook | https://www.facebook.com/ | 3 | USA | | 7 | stackoverflow| https://stackoverflow.com/ | 0 | IND | +----+--------------+---------------------------+-------+---------+
+-----+---------+-------+------------+ | aid | site_id | count | date | +-----+---------+-------+------------+ | 1 | 1 | 45 | 2016-05-10 | | 2 | 3 | 100 | 2016-05-13 | | 3 | 1 | 230 | 2016-05-14 | | 4 | 2 | 10 | 2016-05-14 | | 5 | 5 | 205 | 2016-05-14 | | 6 | 4 | 13 | 2016-05-15 | | 7 | 3 | 220 | 2016-05-15 | | 8 | 5 | 545 | 2016-05-16 | | 9 | 3 | 201 | 2016-05-17 | +-----+---------+-------+------------+
關聯鍵:Websites.id = access_log.site_id
SELECT Websites.id, Websites.name, access_log.count, access_log.date FROM Websites INNER JOIN access_log ON Websites.id = access_log.site_id;
輸出結果:

僅 9 筆有對應訪問記錄的網站資料。
SELECT *,減少網路傳輸與避免欄位名稱衝突。FROM Websites w LEFT JOIN access_log a ON w.id = a.site_id,簡潔易讀。ON 欄位若無索引,大表聯結極慢。優化器通常會自動重排,但寫法上建議:先用 WHERE 過濾大表,再聯結小表;或用 CTE 預先縮小中間結果集。