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查询

SELECT * FROM orders
WHERE amount > 50
ORDER BY amount DESC
LIMIT 10 OFFSET 5;
SELECT status, COUNT(*), AVG(amount), SUM(amount)
FROM orders
GROUP BY status
HAVING COUNT(*) > 5;

对每个聚合应用过滤器,而不影响同一查询中的其他聚合:

SELECT
COUNT(*) AS total,
COUNT(*) FILTER (WHERE status = 'active') AS active,
SUM(amount) FILTER (WHERE amount > 100) AS high_value_total
FROM orders;

窗口函数基于与当前行相关的一组行计算值,而不像 GROUP BY 那样折叠行。

SELECT name, department, salary,
ROW_NUMBER() OVER (ORDER BY salary DESC) AS row_num,
RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS dept_rank,
DENSE_RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS dense_rank
FROM employees;
SELECT name, salary,
LAG(salary, 1) OVER (ORDER BY salary) AS prev_salary,
LEAD(salary, 1, 0) OVER (ORDER BY salary) AS next_salary,
NTILE(4) OVER (ORDER BY salary) AS quartile
FROM employees;

LAG(expr [, offset [, default]])LEAD(expr [, offset [, default]]) 接受可选的偏移量(默认 1)和默认值(默认 NULL)。

SELECT name, department, salary,
FIRST_VALUE(name) OVER (PARTITION BY department ORDER BY salary) AS lowest_paid,
LAST_VALUE(name) OVER (PARTITION BY department ORDER BY salary
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS highest_paid,
NTH_VALUE(name, 2) OVER (PARTITION BY department ORDER BY salary
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS second_lowest
FROM employees;
函数描述
FIRST_VALUE(expr)窗口帧第一行的 expr
LAST_VALUE(expr)窗口帧最后一行的 expr
NTH_VALUE(expr, n)窗口帧第 n 行的 expr 值(从 1 开始),如果不存在则为 NULL

默认帧是 ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW。对于 LAST_VALUENTH_VALUE,通常需要 ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING 以查看整个分区。

任何聚合函数都可以配合 OVER() 使用:

SELECT name, department, salary,
SUM(salary) OVER (PARTITION BY department) AS dept_total,
AVG(salary) OVER () AS overall_avg,
COUNT(*) OVER (PARTITION BY department) AS dept_size
FROM employees;

控制分区内哪些行参与聚合窗口函数:

SELECT name, salary,
SUM(salary) OVER (ORDER BY salary
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS running_total,
AVG(salary) OVER (ORDER BY salary
ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS moving_avg
FROM employees;

支持的帧边界:

  • UNBOUNDED PRECEDING / UNBOUNDED FOLLOWING — 分区的开始/结束
  • CURRENT ROW — 当前行
  • N PRECEDING / N FOLLOWING — 当前行之前/之后 N 行

不指定帧子句时,聚合窗口函数在整个分区上计算。

FILTER 子句可以与聚合窗口函数配合使用:

SELECT name, salary,
SUM(salary) FILTER (WHERE salary > 70000)
OVER (ORDER BY salary ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
AS running_high_earner_total
FROM employees;

INNER、LEFT、RIGHT、FULL 和 CROSS 连接:

SELECT o.id, o.amount, c.name
FROM orders o
INNER JOIN customers c ON o.customer_id = c.id;
SELECT * FROM customers c
WHERE EXISTS (
SELECT 1 FROM orders o
WHERE o.customer_id = c.id AND o.amount > 100
);

FROM 中的关联子查询:

SELECT c.name, recent.amount
FROM customers c,
LATERAL (
SELECT amount FROM orders
WHERE customer_id = c.id
ORDER BY created_at DESC LIMIT 1
) AS recent;
SELECT * FROM (VALUES (1, 'a'), (2, 'b')) AS t (id, name);
SELECT name FROM customers
UNION
SELECT name FROM suppliers;

支持 UNIONUNION ALLINTERSECTEXCEPT

CTE 定义可在主查询中引用的命名子查询,提高可读性并实现复用:

WITH active_users AS (
SELECT id, name FROM users WHERE active = TRUE
),
user_orders AS (
SELECT u.name, COUNT(*) AS order_count
FROM active_users u
INNER JOIN orders o ON u.id = o.user_id
GROUP BY u.name
)
SELECT name, order_count FROM user_orders ORDER BY order_count DESC;

可以指定列别名:WITH t(x, y) AS (SELECT 1, 2)

后续 CTE 可以引用前面的 CTE。CTE 名称会遮蔽同名的表。

WITH RECURSIVE 实现用于层次结构数据、图遍历和系列生成的迭代查询:

-- 生成数字系列
WITH RECURSIVE nums(n) AS (
SELECT 1
UNION ALL
SELECT n + 1 FROM nums WHERE n < 10
)
SELECT n FROM nums;
-- 树遍历
WITH RECURSIVE tree(id, name, depth) AS (
SELECT id, name, 0 FROM categories WHERE parent_id IS NULL
UNION ALL
SELECT c.id, c.name, t.depth + 1
FROM categories c INNER JOIN tree t ON c.parent_id = t.id
)
SELECT name, depth FROM tree ORDER BY depth, name;

递归 CTE 主体必须是锚查询(非递归基本情况)和递归查询(引用 CTE 名称)的 UNION ALLUNION。当递归查询不再产生新行或达到 1000 次迭代后停止执行。

SELECT name,
CASE WHEN amount > 100 THEN 'high' ELSE 'low' END AS tier
FROM orders;
SELECT * FROM products WHERE name LIKE '%phone%';
SELECT * FROM products WHERE name ILIKE '%Phone%'; -- 大小写不敏感
SELECT * FROM orders WHERE amount BETWEEN 10 AND 100;
SELECT * FROM orders WHERE status IN ('pending', 'shipped');
SELECT * FROM orders WHERE status = ANY(ARRAY['pending', 'shipped']);

测试两个日期/时间范围是否重叠:

SELECT (DATE '2024-01-01', DATE '2024-01-31')
OVERLAPS (DATE '2024-01-15', DATE '2024-02-15');
SELECT DISTINCT category FROM products;

返回给定表达式的每个不同值一行。保留每组的第一行(根据 ORDER BY):

SELECT DISTINCT ON (department) department, name, salary
FROM employees
ORDER BY department, salary DESC;

这将返回每个部门薪资最高的员工。

显示查询执行计划:

EXPLAIN SELECT * FROM orders WHERE status = 'pending';
SELECT ARRAY[1, 2, 3];