HAVING 子句
適用於: Databricks SQL Databricks Runtime
根據指定的條件篩選所產生的 GROUP BY
結果。 通常與 GROUP BY 子句搭配使用。
語法
HAVING boolean_expression
參數
boolean_expression
任何評估為結果類型的
BOOLEAN
表達式。 兩個或多個表達式可以使用 或OR
之類的AND
邏輯運算子結合在一起。子句中指定的
HAVING
表示式只能參考:
範例
> CREATE TABLE dealer (id INT, city STRING, car_model STRING, quantity INT);
> INSERT INTO dealer VALUES
(100, 'Fremont' , 'Honda Civic' , 10),
(100, 'Fremont' , 'Honda Accord', 15),
(100, 'Fremont' , 'Honda CRV' , 7),
(200, 'Dublin' , 'Honda Civic' , 20),
(200, 'Dublin' , 'Honda Accord', 10),
(200, 'Dublin' , 'Honda CRV' , 3),
(300, 'San Jose', 'Honda Civic' , 5),
(300, 'San Jose', 'Honda Accord', 8);
-- `HAVING` clause referring to column in `GROUP BY`.
> SELECT city, sum(quantity) AS sum FROM dealer GROUP BY city HAVING city = 'Fremont';
Fremont 32
-- `HAVING` clause referring to aggregate function.
> SELECT city, sum(quantity) AS sum FROM dealer GROUP BY city HAVING sum(quantity) > 15;
Dublin 33
Fremont 32
-- `HAVING` clause referring to aggregate function by its alias.
> SELECT city, sum(quantity) AS sum FROM dealer GROUP BY city HAVING sum > 15;
Dublin 33
Fremont 32
-- `HAVING` clause referring to a different aggregate function than what is present in
-- `SELECT` list.
> SELECT city, sum(quantity) AS sum FROM dealer GROUP BY city HAVING max(quantity) > 15;
Dublin 33
-- `HAVING` clause referring to constant expression.
> SELECT city, sum(quantity) AS sum FROM dealer GROUP BY city HAVING 1 > 0 ORDER BY city;
Dublin 33
Fremont 32
San Jose 13
-- `HAVING` clause without a `GROUP BY` clause.
> SELECT sum(quantity) AS sum FROM dealer HAVING sum(quantity) > 10;
78