PostgreSQL 全连接


全面加入

这个FULL JOIN关键字从两个表中选择所有记录,即使没有匹配。对于匹配的行,两个表中的值都可用,如果不匹配,则空字段将获取值NULL

让我们看一个使用我们的虚拟对象的例子testproducts表格:

 testproduct_id |      product_name      | category_id
----------------+------------------------+-------------
              1 | Johns Fruit Cake       |           3
              2 | Marys Healthy Mix      |           9
              3 | Peters Scary Stuff     |          10
              4 | Jims Secret Recipe     |          11
              5 | Elisabeths Best Apples |          12
              6 | Janes Favorite Cheese  |           4
              7 | Billys Home Made Pizza |          13
              8 | Ellas Special Salmon   |           8
              9 | Roberts Rich Spaghetti |           5
             10 | Mias Popular Ice       |          14
(10 rows)

我们将努力加入testproducts表与categories表格:

 category_id | category_name  |                       description
-------------+----------------+------------------------------------------------------------
           1 | Beverages      | Soft drinks, coffees, teas, beers, and ales
           2 | Condiments     | Sweet and savory sauces, relishes, spreads, and seasonings
           3 | Confections    | Desserts, candies, and sweet breads
           4 | Dairy Products | Cheeses
           5 | Grains/Cereals | Breads, crackers, pasta, and cereal
           6 | Meat/Poultry   | Prepared meats
           7 | Produce        | Dried fruit and bean curd
           8 | Seafood        | Seaweed and fish
(8 rows)

笔记:许多产品在testproducts有一个category_id与中的任何类别都不匹配categories表格。

通过使用FULL JOIN我们将从两个地方获取所有记录categories表和testproducts表格:

示例

加入testproducts categories使用category_id柱子:

SELECT testproduct_id, product_name, category_name
FROM testproducts
FULL JOIN categories ON testproducts.category_id = categories.category_id;
运行示例 »

结果

返回两个表中的所有记录。

没有匹配的行将得到NULL对面表中字段的值:

 testproduct_id |      product_name       | category_name
----------------+-------------------------+----------------
              1 | Johns Fruit Cake        | Confections
              2 | Marys Healthy Mix       |
              3 | Peters Scary Stuff      |
              4 | Jims Secret Recipe      |
              5 | Elisabeths Best Apples  |
              6 | Janes Favorite Cheese   | Dairy Products
              7 | Billys Home Made Pizza  |
              8 | Ellas Special Salmon    | Seafood
              9 | Roberts Rich Spaghetti  | Grains/Cereals
             10 | Mias Popular Ice        |
                |                         | Condiments
                |                         | Meat/Poultry
                |                         | Beverages
                |                         | Produce
(14 rows)

笔记:FULL JOIN FULL OUTER JOIN会给出相同的结果。

OUTER是默认的连接类型FULL JOIN,所以当你写FULL JOIN解析器实际上写的是FULL OUTER JOIN