關聯子查詢

SQL 資料操作

Mona Khalil

Data Scientist, Greenhouse Software

關聯子查詢

  • 使用「外層」查詢的值來產生結果
  • 會對最終資料集的每一列重複執行
  • 用於進階連接、篩選與評估資料
SQL 資料操作

簡單範例

  • 哪些比賽階段的進球數高於平均?
SELECT 
    s.stage,
    ROUND(s.avg_goals,2) AS avg_goal,
    (SELECT AVG(home_goal + away_goal) FROM match 
     WHERE season = '2012/2013') AS overall_avg 
FROM 
    (SELECT
         stage,
         AVG(home_goal + away_goal) AS avg_goals
     FROM match
     WHERE season = '2012/2013'
     GROUP BY stage) AS s
WHERE s.avg_goals > (SELECT AVG(home_goal + away_goal) 
                     FROM match 
                     WHERE season = '2012/2013');
SQL 資料操作

簡單範例

  • 哪些比賽階段的進球數高於平均?
SELECT 
    s.stage,
    ROUND(s.avg_goals,2) AS avg_goal,
    (SELECT AVG(home_goal + away_goal) 
     FROM match 
     WHERE season = '2012/2013') AS overall_avg 
FROM (SELECT
        stage,
        AVG(home_goal + away_goal) AS avg_goals
      FROM match
      WHERE season = '2012/2013'
      GROUP BY stage) AS s -- FROM 子句中的子查詢
WHERE s.avg_goals > (SELECT AVG(home_goal + away_goal) 
                     FROM match 
                     WHERE season = '2012/2013'); -- WHERE 子句中的子查詢
SQL 資料操作

關聯範例

SELECT
    s.stage,
    ROUND(s.avg_goals,2) AS avg_goal,
    (SELECT AVG(home_goal + away_goal) 
     FROM match 
     WHERE season = '2012/2013') AS overall_avg 
FROM 
    (SELECT
         stage,
         AVG(home_goal + away_goal) AS avg_goals
     FROM match
     WHERE season = '2012/2013'
     GROUP BY stage) AS s
WHERE s.avg_goals > (SELECT AVG(home_goal + away_goal) 
                     FROM match AS m 
                     WHERE s.stage > m.stage);
SQL 資料操作

關聯範例

| stage | avg_goals |
|-------|-----------|
| 3     | 2.83      |
| 4     | 2.8       |
| 6     | 2.78      |
| 8     | 3.09      |
| 10    | 2.96      |
SQL 資料操作

簡單 vs. 關聯子查詢

簡單子查詢

  • 可獨立於主查詢執行
  • 在整個查詢中只評估一次

關聯子查詢

  • 執行時依賴主查詢
  • 以迴圈方式評估
    • 會顯著降低查詢效能
SQL 資料操作

關聯子查詢

  • 各國的平均進球數是多少?
SELECT
  c.name AS country,
  AVG(m.home_goal + m.away_goal) 
     AS avg_goals
FROM country AS c
LEFT JOIN match AS m
ON c.id = m.country_id
GROUP BY country;
| country     | avg_goals        |
|-------------|------------------|
| Belgium     | 2.89344262295082 |
| England     | 2.76776315789474 |
| France      | 2.51052631578947 |
| Germany     | 2.94607843137255 |
| Italy       | 2.63150867823765 |
| Netherlands | 3.14624183006536 |
| Poland      | 2.49375          |
| Portugal    | 2.63255360623782 |
| Scotland    | 2.74122807017544 |
| Spain       | 2.78223684210526 |
| Switzerland | 2.81054131054131 |
SQL 資料操作

關聯子查詢

  • 各國的平均進球數是多少?
SELECT
  c.name AS country,
  (SELECT 
     AVG(home_goal + away_goal)
   FROM match AS m
   WHERE m.country_id = c.id) 
     AS avg_goals
FROM country AS c
GROUP BY country;
| country     | avg_goals        |
|-------------|------------------|
| Belgium     | 2.89344262295082 |
| England     | 2.76776315789474 |
| France      | 2.51052631578947 |
| Germany     | 2.94607843137255 |
| Italy       | 2.63150867823765 |
| Netherlands | 3.14624183006536 |
| Poland      | 2.49375          |
| Portugal    | 2.63255360623782 |
| Scotland    | 2.74122807017544 |
| Spain       | 2.78223684210526 |
| Switzerland | 2.81054131054131 |
SQL 資料操作

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SQL 資料操作

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