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POGrouping and summarize columns
 

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    <p>Given the tables below, what is the best approach to (in both server-flavors):</p> <p>Group all rows within a minute/hour/day and get the maximum column 'CounterC' ?</p> <p>Example: Between 'now' and 'now' - 1 day, get Max(CounterC) for each hour. Example2: Between 'now' and 'now' - 30 days, get Max(CounterC) for each day.</p> <p>Obviously the rows have to be grouped, but how?</p> <p>MS SQL</p> <pre><code>CREATE TABLE [dbo].[DE0000000D102D1D]( [index] [bigint] IDENTITY(1,1) NOT NULL, [TimeStamp] [datetime] NOT NULL, [CounterA] [bigint] NOT NULL, [CounterB] [bigint] NOT NULL, [CounterC] [bigint] NOT NULL, [CounterD] [bigint] NOT NULL, ) </code></pre> <p>MySQL</p> <pre><code>CREATE TABLE `de0000000d102d1d` ( `index` bigint(20) NOT NULL AUTO_INCREMENT, `TimeStamp` datetime NOT NULL, `CounterA` bigint(20) NOT NULL, `CounterB` bigint(20) NOT NULL, `CounterC` bigint(20) NOT NULL, `CounterD` bigint(20) NOT NULL, PRIMARY KEY (`index`) ) </code></pre> <p>Some example data:</p> <pre><code>index TimeStamp CounterA CounterB CounterC CounterD ----- ----------------------- -------- -------- --------- -------- 1 2011-03-07 14:25:32.000 0 1 347406352 916 2 2011-03-07 14:26:32.000 0 1 347407169 916 3 2011-03-07 14:27:32.000 0 1 347407978 916 4 2011-03-07 14:28:31.000 0 1 347408617 916 5 2011-03-07 14:29:31.000 0 1 347409087 916 6 2011-03-07 14:30:30.000 0 1 347409557 916 7 2011-03-07 14:31:09.000 0 1 347409845 916 </code></pre> <p>Thanks in advance!</p> <p>Edit: It is actually Max(CounterC) I want for each interval, not the sum.</p>
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    1. COHave you searched this site? See this for one of many examples: http://stackoverflow.com/questions/1607143/mysql-group-by-intervals-in-a-date-range
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    2. COOf course I've searched this and other sites...I still don't understand how to solve the problem.
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    3. CODate/time processing is an area where SQL Server and MySQL have different set of tools. If someone proficient in MySQL posts an excellent solution for that platform and likewise someone other posts an equally great solution for SQL Server, how would you choose between the two posters whose answer to accept? Or are you intending to accept only an answer with solutions for both platforms?
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