从表中删除重复行

2022-01-10 00:00:00 sql duplicates mysql

我的数据库中有一个表,其中包含要删除的重复记录.我不想为此创建一个包含不同条目的新表.我想要的是从现有表中删除重复条目而不创建任何新表.有没有办法做到这一点?

I have a table in my database which has duplicate records that I want to delete. I don't want to create a new table with distinct entries for this. What I want is to delete duplicate entries from the existing table without the creation of any new table. Is there any way to do this?

 id           action
 L1_name      L1_data
 L2_name      L2_data
 L3_name      L3_data   
 L4_name      L4_data
 L5_name      L5_data
 L6_name      L6_data
 L7_name      L7_data
 L8_name      L8_data
 L9_name      L9_data
 L10_name     L10_data
 L11_name     L11_data
 L12_name     L12_data
 L13_name     L13_data 
 L14_name     L14_data
 L15_name     L15_data

看到这些都是我的领域:
id 对于每一行都是唯一的.
L11_data 对于相应的操作字段是唯一的.
L11_data 是公司名称,而 action 是行业名称.

see these all are my fields :
id is unique for every row.
L11_data is unique for respective action field.
L11_data is having company names while action is having name of the industries.

因此,在我的数据中,我在 L11_data 中为各自行业提供了重复的公司名称.

So in my data I'm having duplicate name of the companies in L11_data for their respective industries.

我想要的是存储在行动中的特定行业公司的唯一名称和其他数据.我希望我以一种你们可以理解的方式陈述了我的问题.

What I want is to have is unique name and other data of the companies in the particular industry stored in action. I hope I have stated my problem in a way that you people can understand it.

推荐答案

是的,假设你有一个唯一的ID字段,你可以删除所有除了ID相同但没有最小ID"的记录为他们的价值观组.

Yes, assuming you have a unique ID field, you can delete all records that are the same except for the ID, but don't have "the minimum ID" for their group of values.

查询示例:

DELETE FROM Table
WHERE ID NOT IN
(
SELECT MIN(ID)
FROM Table
GROUP BY Field1, Field2, Field3, ...
)

注意事项:

  • 我随意选择了Table"和ID"作为代表名
  • 字段列表(Field1、Field2、...")应包括除 ID 之外的所有字段
  • 这可能是一个缓慢的查询,具体取决于字段和行的数量,但我希望与替代方案相比它还可以

如果您没有唯一索引,我的建议是简单地添加一个自动增量唯一索引.主要是因为它的设计很好,还因为它可以让你运行上面的查询.

In case you don't have a unique index, my recommendation is to simply add an auto-incremental unique index. Mainly because it's good design, but also because it will allow you to run the query above.

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