SELECT TOP (1) from DISTINCT values

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英文:

SELECT TOP (1) from DISTINCT values

问题

我有来自机器PLC的数据,并将其收集到SQL数据库中。

我有几台机器,"machineID" 分别为 19、21、24、25,等等。

我有数千条来自这些机器的日志,包含实时操作数据。

我需要编写查询以获取每台机器的最后一条记录。

我想执行类似于以下的操作:

SELECT DISTINCT machineID
FROM [moh01dtd].[dbo].[MasterPLC_Data]
ORDER BY machineID;

这会给我返回表中所有的机器ID。

现在我想找到每台机器写入表中的最后一行记录。类似于以下的操作:

SELECT TOP(1) * 
FROM [moh01dtd].[dbo].[MasterPLC_Data]
WHERE machineID IN (SELECT DISTINCT machineID
                    FROM [moh01dtd].[dbo].[MasterPLC_Data]);

但如预期的那样,它并不起作用。基本上我需要执行:

SELECT TOP(1) *
FROM [moh01dtd].[dbo].[MasterPLC_Data]
WHERE machineID = <parameter>
 <parameter>

是来自以下查询的行:

SELECT DISTINCT machineID
FROM [moh01dtd].[dbo].[MasterPLC_Data]
ORDER BY machineID;
英文:

I have data from machine PLCs and I am gathering that into SQL database.

I have several machines with "machineID" = 19, 21, 24, 25, .. .etc.

I have thousands of logs from these machines with actual realtime operating data.

I need to write the query to get the last query from each machine.

What I want to perform is something like this:

SELECT DISTINCT machineID
FROM [moh01dtd].[dbo].[MasterPLC_Data]
ORDER BY machineID;

This gives me the results of all machine IDs that are in the table.

Now I want to find the last row for each machine that was written to the table. So something like this:

SELECT TOP(1) * 
FROM [moh01dtd].[dbo].[MasterPLC_Data]
WHERE machineID IN (SELECT DISTINCT machineID
                    FROM [moh01dtd].[dbo].[MasterPLC_Data]);

But as expected it is not working. Basically I would need to perform

SELECT TOP(1) *
FROM [moh01dtd].[dbo].[MasterPLC_Data]
WHERE machineID = &lt;parameter&gt;
and &lt;parameter&gt;

is the rows from the

SELECT DISTINCT machineID
FROM [moh01dtd].[dbo].[MasterPLC_Data]
ORDER BY machineID;

答案1

得分: 1

首先,你需要定义最后一个查询的含义。表中是否有一个 IDENTITY 列,或者是一个时间戳或其他什么东西。

假设你有一个 IDENTITY 列,可以这样做:

SELECT *
FROM (
  SELECT *, ROW_NUMBER() OVER (PARTITION BY machineID ORDER BY id DESC) AS rn
  FROM moh01dtd.dbo.MasterPLC_Data
) AS q 
WHERE rn=1
英文:

First you have to define what the last query means. Do you have an IDENTITY column in the table or a timestamp or something else.

Assuming you have an IDENTITY column, you can do:

SELECT *
FROM (
  SELECT *, ROW_NUMBER() OVER (PARTITION BY machineID ORDER BY id DESC) AS rn
  FROM moh01dtd.dbo.MasterPLC_Data
) AS q 
WHERE rn=1

答案2

得分: 0

你可以从按machineID分组后获取最后一个值
示例:

with MasterPLC_Data as(
    select id=1, machineID = 1, field1='1', field2='1'
    union all select id=2, machineID = 1, field1='2', field2='2'
    union all select id=3, machineID = 1, field1='3', field2='3'
    union all select id=4, machineID = 2, field1='4', field2='4'
    union all select id=5, machineID = 2, field1='5', field2='5'
    union all select id=6, machineID = 3, field1='4', field2='4'
    union all select id=7, machineID = 3, field1='5', field2='5'
    union all select id=8, machineID = 3, field1='6', field2='6'
)
SELECT m.*
FROM MasterPLC_Data m
    join (select machineID, max_id = max(id)
              from MasterPLC_Data
              group by machineID
               ) t on m.id = t.max_id

结果

id machineID field1 field2
3 1 3 3
5 2 5 5
8 3 6 6
英文:

You can get last value from group by machineID
Example:

with MasterPLC_Data as(
			  select id=1,machineID = 1,field1=&#39;1&#39;,field2=&#39;1&#39;
	union all select id=2,machineID = 1,field1=&#39;2&#39;,field2=&#39;2&#39;
	union all select id=3,machineID = 1,field1=&#39;3&#39;,field2=&#39;3&#39;
	union all select id=4,machineID = 2,field1=&#39;4&#39;,field2=&#39;4&#39;
	union all select id=5,machineID = 2,field1=&#39;5&#39;,field2=&#39;5&#39;
	union all select id=6,machineID = 3,field1=&#39;4&#39;,field2=&#39;4&#39;
	union all select id=7,machineID = 3,field1=&#39;5&#39;,field2=&#39;5&#39;
	union all select id=8,machineID = 3,field1=&#39;6&#39;,field2=&#39;6&#39;
)
SELECT m.*
FROM MasterPLC_Data m
		join (select machineID,max_id = max(id)
				  from MasterPLC_Data
				  group by machineID
				   ) t on m.id = t.max_id

result

id machineID field1 field2
3 1 3 3
5 2 5 5
8 3 6 6

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  • 本文由 发表于 2023年2月16日 17:55:38
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