Gecorreleerde subqueries

Gegevens manipuleren in SQL

Mona Khalil

Data Scientist, Greenhouse Software

Gecorreleerde subquery

Gebruikt waarden uit de buitenste query
Wordt opnieuw uitgevoerd voor elke rij
Gebruikt voor geavanceerd joinen, filteren en evalueren

Een eenvoudig voorbeeld

Welke wedstrijdstadia hebben meer dan gemiddeld aantal doelpunten?

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');

Een eenvoudig voorbeeld

Welke wedstrijdstadia hebben meer dan gemiddeld aantal doelpunten?

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 -- Subquery in FROM
WHERE s.avg_goals > (SELECT AVG(home_goal + away_goal) 
                     FROM match 
                     WHERE season = '2012/2013'); -- Subquery in WHERE

Een gecorreleerd voorbeeld

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);

Een gecorreleerd voorbeeld

| stage | avg_goals |
|-------|-----------|
| 3     | 2.83      |
| 4     | 2.8       |
| 6     | 2.78      |
| 8     | 3.09      |
| 10    | 2.96      |

Eenvoudige vs. gecorreleerde subqueries

Eenvoudige Subquery

Kan zelfstandig worden uitgevoerd
Eén keer geëvalueerd in de hele query

Gecorreleerde Subquery

Afhankelijk van de hoofdquery
Wordt in lussen geëvalueerd
- Vertraagt de query aanzienlijk

Gecorreleerde subqueries

Wat is het gemiddelde aantal gescoorde doelpunten per land?

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 |

Gecorreleerde subqueries

Wat is het gemiddelde aantal gescoorde doelpunten per land?

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 |

Laten we oefenen!

Gegevens manipuleren in SQL