deleteOrder(index){ this.$api.deleteOrder({ id:this.Order[index].id }).then(res=>{ if(res.status_code==1){ this.getOrder(); }else { this.$message.error(res.msg) } }).catch(e => { console.log(e) }) },
时间: 2023-07-15 08:10:49 浏览: 161
这段代码是在Vue.js框架中定义的一个方法,用于删除订单。具体来说,当用户点击删除按钮时,会调用这个方法并传入一个参数index,表示要删除的订单在Order数组中的索引位置。
在方法中,首先调用了一个API接口(假设是通过Vue插件或者axios库发送HTTP请求),将要删除的订单的ID作为参数传入。然后,根据接口返回的状态码判断是否删除成功,如果成功则重新获取订单列表并更新界面,否则弹出一个错误提示信息。
需要注意的是,这段代码中的this指向Vue实例对象,即当前组件。Order数组可能是由父组件传递的props,也可能是在当前组件内部定义的data属性。
相关问题
SELECT a.order_id, a.store_id, a.buyer_id, a.enterprise_id, a.create_user_id, a.state, a.source, a.pay_state, a.ticket_no, a.is_change, a.product_amount, a.box_mortgage_amount, a.fee_amount, a.difference_amount, a.order_amount, a.repayment_amount, a.remaining_amount, a.return_goods_amount, d.NAME create_user, e.buyer_name, e.public_type, a.make_time orderTime, c.is_classes, CASE WHEN b.biz_type = 1 THEN b.ticket_no pendingTicketNo WHEN b.biz_type = 2 THEN b.rela_id returnGoodsId, b.ticket_no returnGoodsNo END FROM order_info AS a LEFT JOIN order_biz_rela AS b ON a.order_id = b.order_id AND b.is_delete = 1 INNER JOIN classes_biz c ON c.biz_id = a.order_id AND c.biz_type = 1 INNER JOIN store_staff AS d ON a.create_user_id = d.user_id AND a.store_id = d.store_id INNER JOIN buyer_info AS e ON a.buyer_id = e.buyer_id WHERE a.order_id ="1679787170515709954"
这是一个查询语句,它从多个表中检索特定订单的信息。它选择了以下列:
- order_id:订单ID
- store_id:店铺ID
- buyer_id:买家ID
- enterprise_id:企业ID
- create_user_id:创建用户ID
- state:订单状态
- source:订单来源
- pay_state:支付状态
- ticket_no:票据号码
- is_change:是否改变
- product_amount:产品金额
- box_mortgage_amount:箱子抵押金额
- fee_amount:费用金额
- difference_amount:差额金额
- order_amount:订单金额
- repayment_amount:还款金额
- remaining_amount:剩余金额
- return_goods_amount:退货金额
- create_user:创建用户名称
- buyer_name:买家名称
- public_type:公共类型
- orderTime:订单时间
- is_classes:是否班级
- pendingTicketNo:待处理票据号码(当biz_type为1时)
- returnGoodsId:退货ID(当biz_type为2时)
- returnGoodsNo:退货号码(当biz_type为2时)
它使用了多个表之间的连接条件,并通过订单ID进行过滤,只选择了订单ID为"1679787170515709954"的记录。
优化sql select cir.ID, cir.NAME, mebm.type, msg.persion_num, artic.TITLE AS ARTICLE_TITLE, ( CASE WHEN top_msg.top_id IS NOT NULL THEN 'true' ELSE 'false' END ) AS is_top from CIRLE_GROUP cir LEFT JOIN GROUP_MEMBER mebm on cir.ID = mebm.GROUP_ID LEFT JOIN(select gro.ID, gro.NAME, COUNT(*) as persion_num from CIRLE_GROUP gro LEFT JOIN GROUP_MEMBER meb on gro.ID = meb.GROUP_ID GROUP BY gro.ID, gro.NAME) msg on msg.ID = cir.ID LEFT JOIN(SELECT art_msg.TITLE, art_msg.ID FROM (SELECT art.TITLE, cl.id, ROW_NUMBER() OVER ( PARTITION BY cl.id ORDER BY art.PUBLISH_TIME DESC ) AS num FROM CIRLE_GROUP cl INNER JOIN ARTICLE art ON cl.id = art.GROUP_ID where art.STATUS = '1' and art.IS_CLOSE = '0' and art.DELETE_FLAG = '0') art_msg WHERE art_msg.num = 1) artic on artic.ID = cir.ID LEFT JOIN(select ci.id, top.id as top_id, top.UPDATED_TIME from CIRLE_GROUP ci INNER JOIN GROUP_TOP top on ci.ID = top.GROUP_ID where top.USER_ID = #{pageDto.userId} and top.DELETE_FLAG = '0') top_msg on cir.ID = top_msg.id where mebm.USER_ID = #{pageDto.userId} and cir.STATUS = '0' and cir.IS_DISMISS = '0' and cir.IS_ENABLE = '1' and cir.DELETE_FLAG = '0' order by case when top_msg.top_id is not null then top_msg.top_id else '1' end desc, top_msg.UPDATED_TIME desc, mebm.TYPE asc, mebm.JOIN_TIME desc
为了优化这个 SQL 查询,可以考虑以下几个方面:
1. 索引优化:确保相关的表上有适当的索引,以加快查询速度。对于经常被使用的列,可以考虑创建索引来提高查询性能。
2. 子查询优化:可以尝试将一些子查询转换为连接操作,以减少查询的复杂度和开销。比如将第一个左连接子查询 msg 转换为一个连接操作。
3. 冗余条件移除:检查 WHERE 子句中的条件,确保只包含必要的条件。移除不必要的冗余条件可以减少查询的复杂度。
4. CASE 表达式优化:对于 CASE 表达式中使用的条件,可以考虑使用更简洁的写法,以提高查询效率。
5. 分页优化:如果查询结果需要分页,可以考虑使用 LIMIT 或者 ROW_NUMBER() 函数进行分页,以减少返回的数据量。
最终优化后的 SQL 查询可能如下所示(注意:这只是一个示例,具体优化方式需要根据实际情况进行调整):
```
SELECT cir.ID, cir.NAME, mebm.type, msg.persion_num, artic.TITLE AS ARTICLE_TITLE,
(CASE WHEN top_msg.top_id IS NOT NULL THEN 'true' ELSE 'false' END) AS is_top
FROM CIRLE_GROUP cir
LEFT JOIN GROUP_MEMBER mebm ON cir.ID = mebm.GROUP_ID
LEFT JOIN (
SELECT gro.ID, gro.NAME, COUNT(*) AS persion_num
FROM CIRLE_GROUP gro
LEFT JOIN GROUP_MEMBER meb ON gro.ID = meb.GROUP_ID
GROUP BY gro.ID, gro.NAME
) msg ON msg.ID = cir.ID
LEFT JOIN (
SELECT art_msg.TITLE, art_msg.ID
FROM (
SELECT art.TITLE, cl.id,
ROW_NUMBER() OVER (PARTITION BY cl.id ORDER BY art.PUBLISH_TIME DESC) AS num
FROM CIRLE_GROUP cl
INNER JOIN ARTICLE art ON cl.id = art.GROUP_ID
WHERE art.STATUS = '1' AND art.IS_CLOSE = '0' AND art.DELETE_FLAG = '0'
) art_msg
WHERE art_msg.num = 1
) artic ON artic.ID = cir.ID
LEFT JOIN (
SELECT ci.id, top.id AS top_id, top.UPDATED_TIME
FROM CIRLE_GROUP ci
INNER JOIN GROUP_TOP top ON ci.ID = top.GROUP_ID
WHERE top.USER_ID = #{pageDto.userId} AND top.DELETE_FLAG = '0'
) top_msg ON cir.ID = top_msg.id
WHERE mebm.USER_ID = #{pageDto.userId}
AND cir.STATUS = '0'
AND cir.IS_DISMISS = '0'
AND cir.IS_ENABLE = '1'
AND cir.DELETE_FLAG = '0'
ORDER BY CASE WHEN top_msg.top_id IS NOT NULL THEN top_msg.top_id ELSE '1' END DESC,
top_msg.UPDATED_TIME DESC, mebm.TYPE ASC, mebm.JOIN_TIME DESC
```
请注意,以上只是一个示例,具体的优化策略需要根据数据库的结构和数据量进行调整。同时,建议在进行优化之前先备份数据库,并在测试环境中进行验证。
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