小编典典

SQL中标记系统的布尔表达式

sql

具有用于标记系统的此SQL表:

CREATE TABLE tags (
    id SERIAL PRIMARY KEY,
    name VARCHAR(100)
);
CREATE INDEX tags_name_idx ON tags(name);

CREATE TABLE tagged_items (
    tag_id INT,
    item_id INT
);
CREATE INDEX tagged_items_tag_id_idx ON tagged_items(tag_id);
CREATE INDEX tagged_items_item_id_idx ON tagged_items(item_id);

CREATE TABLE items (
    id SERIAL PRIMARY KEY,
    content VARCHAR(255)
);

用户在SQL中的布尔表达式查询“ tag1 AND tag2 ”为:

SELECT items.* FROM items
    INNER JOIN tagged_items AS i1 ON (items.id = i1.item_id) INNER JOIN tags AS t1 ON (i1.tag_id = t1.id)
    INNER JOIN tagged_items AS i2 ON (items.id = i2.item_id) INNER JOIN tags AS t2 ON (i2.tag_id = t2.id)
WHERE t1.name = 'tag1' AND t2.name = 'tag2';

您如何将带有布尔表达式的其他查询(例如“ tag1 OR tag2 AND tag3 ”)或什至更复杂的查询(例如“ tag1 AND(tag2
OR tag3)AND NOT tag4 OR tag5
”)转换为SQL?


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2021-04-22

共1个答案

小编典典

假设数据->项,单词->名称和agged_item-> agged_items。

这适用于“ tag1 AND(tag2 OR tag3)AND NOT tag4 OR tag5 ”。我敢肯定,其余的您都可以解决。

SELECT items.* FROM items
    LEFT JOIN (SELECT i1.item_id FROM tagged_items AS i1 INNER JOIN tags AS t1 ON i1.tag_id = t1.id AND t1.name = 'tag1') AS ti1 ON items.id = ti1.item_id
    LEFT JOIN (SELECT i2.item_id FROM tagged_items AS i2 INNER JOIN tags AS t2 ON i2.tag_id = t2.id AND t2.name = 'tag2') AS ti2 ON items.id = ti2.item_id
    LEFT JOIN (SELECT i3.item_id FROM tagged_items AS i3 INNER JOIN tags AS t3 ON i3.tag_id = t3.id AND t3.name = 'tag3') AS ti3 ON items.id = ti3.item_id
    LEFT JOIN (SELECT i4.item_id FROM tagged_items AS i4 INNER JOIN tags AS t4 ON i4.tag_id = t4.id AND t4.name = 'tag4') AS ti4 ON items.id = ti4.item_id
    LEFT JOIN (SELECT i5.item_id FROM tagged_items AS i5 INNER JOIN tags AS t5 ON i5.tag_id = t5.id AND t5.name = 'tag5') AS ti5 ON items.id = ti5.item_id
WHERE ti1.item_id IS NOT NULL AND (ti2.item_id IS NOT NULL OR ti3.item_id IS NOT NULL) AND ti4.item_id IS NULL OR ti5.item_id IS NOT NULL;

编辑: 如果要避免子查询,您可以这样做:

SELECT items.* FROM items 
    LEFT JOIN tagged_items AS i1 ON items.id = i1.item_id LEFT JOIN tags AS t1 ON i1.tag_id = t1.id AND t1.name = 'tag1'
    ...
WHERE t1.item_id IS NOT NULL ...

我不确定为什么要这么做,因为额外的左联接可能会导致运行速度变慢。

2021-04-22