mysql多个left join连接查询用法分析

时间:2020-12-15 CyborgLin 人气:8

这篇文章主要介绍了mysql多个left join连接查询用法,结合实例形式对比分析了mysql使用left join进行连接查询相关操作技巧与注意事项,需要的朋友可以参考下

本文实例讲述了mysql多个left join连接查询用法。分享给大家供大家参考，具体如下：

mysql查询时需要连接多个表时，比如查询订单的商品表，需要查询商品的其他信息，其他信息不在订单的商品表，需要连接其他库的表，但是连接的条件基本都是商品ID就可以了，先给一个错误语句（查询之间的嵌套，效率很低）：

SELECT
  A.order_id,
  A.wid,
  A.work_name,
  A.supply_price,
  A.sell_price,
  A.total_num,
  A.sell_profit,
  A.sell_percent,
  A.goods_id,
  A.goods_name,
  A.classify,
  B.gb_name
FROM
  (
    SELECT
      A.sub_order_id AS order_id,
      A.photo_id AS wid,
      A.photo_name AS work_name,
      A.supply_price,
      A.sell_price,
      sum(A.num) AS total_num,
      (
        A.sell_price - A.supply_price
      ) AS sell_profit,
      (
        A.sell_price - A.supply_price
      ) / A.sell_price AS sell_percent,
      A.goods_id,
      A.goods_name,
      B.goods_name AS classify
    FROM
      order_goods AS A
    LEFT JOIN (
      SELECT
        A.goods_id,
        A.parentid,
        B.goods_name
      FROM
        test_qyg_goods.goods AS A
      LEFT JOIN test_qyg_goods.goods AS B ON A.parentid = B.goods_id
    ) AS B ON A.goods_id = B.goods_id
    WHERE
      A.createtime >= '2016-09-09 00:00:00'
    AND A.createtime <= '2016-10-16 23:59:59'
    AND FROM_UNIXTIME(
      UNIX_TIMESTAMP(A.createtime),
      '%Y-%m-%d'
    ) != '2016-09-28'
    AND FROM_UNIXTIME(
      UNIX_TIMESTAMP(A.createtime),
      '%Y-%m-%d'
    ) != '2016-10-07'
    GROUP BY
      A.photo_id
    ORDER BY
      A.goods_id ASC
  ) AS A
LEFT JOIN (
  SELECT
    A.wid,
    A.brand_id,
    B.gb_name
  FROM
    test_qyg_user.buser_goods_list AS A
  LEFT JOIN test_qyg_supplier.brands AS B ON A.brand_id = B.gbid
) AS B ON A.wid = B.wid

查询结果耗时4秒多，explain分析，发现其中2个子查询是全部扫描，可以使用mysql的多个left join优化

SELECT
  A.sub_order_id,
  A.photo_id AS wid,
  A.photo_name AS work_name,
  A.supply_price,
  A.sell_price,
  sum(A.num) AS total_num,
  (
    A.sell_price - A.supply_price
  ) AS sell_profit,
  (
    A.sell_price - A.supply_price
  ) / A.sell_price AS sell_percent,
  A.goods_id,
  A.goods_name,
  B.parentid,
  C.goods_name AS classify,
  D.brand_id,
  E.gb_name,
  sum(
    CASE
    WHEN F.buy_type = 'yes' THEN
      A.num
    ELSE
      0
    END
  ) AS total_buy_num,
  sum(
    CASE
    WHEN F.buy_type = 'yes' THEN
      A.num
    ELSE
      0
    END * A.sell_price
  ) AS total_buy_money,
  sum(
    CASE
    WHEN F.buy_type = 'no' THEN
      A.num
    ELSE
      0
    END
  ) AS total_give_num,
  sum(
    CASE
    WHEN F.buy_type = 'no' THEN
      A.num
    ELSE
      0
    END * A.sell_price
  ) AS total_give_money
FROM
  order_goods AS A
LEFT JOIN test_qyg_goods.goods AS B ON A.goods_id = B.goods_id
LEFT JOIN test_qyg_goods.goods AS C ON B.parentid = C.goods_id
LEFT JOIN test_qyg_user.buser_goods_list AS D ON A.photo_id = D.wid
LEFT JOIN test_qyg_supplier.brands AS E ON D.brand_id = E.gbid
LEFT JOIN order_info_sub AS F ON A.sub_order_id = F.order_id
WHERE
  A.createtime >= '2016-09-09 00:00:00'
AND A.createtime <= '2016-10-16 23:59:59'
AND FROM_UNIXTIME(
  UNIX_TIMESTAMP(A.createtime),
  '%Y-%m-%d'
) != '2016-09-28'
AND FROM_UNIXTIME(
  UNIX_TIMESTAMP(A.createtime),
  '%Y-%m-%d'
) != '2016-10-07'
GROUP BY
  A.photo_id
ORDER BY
  A.goods_id ASC

查询结果耗时0.04秒

希望本文所述对大家MySQL数据库计有所帮助。

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