阅读CSV文件，按日期的数据，计算几列该日期

-1

 
"Name","timestamp","CPU|Demand (%)","CPU|Demand (%) (Trend)","CPU|Demand (%) (30 days forecast)" 
"BDC00-Management","Mar 2, 2017 12:01:22 AM","","30.68","" 
"BDC00-Management","Mar 2, 2017 12:10:00 AM","34.19","","" 
"BDC00-Management","Mar 2, 2017 12:16:22 AM","","30.68","" 
"BDC00-Management","Mar 2, 2017 12:20:00 AM","29.59","","" 
"BDC00-Management","Mar 3, 2017 6:55:00 AM","28.76","","" 
"BDC00-Management","Mar 3, 2017 7:00:00 AM","33.44","","" 
"BDC00-Management","Mar 3, 2017 7:01:22 AM","","30.98","" 
"BDC00-Management","Apr 1, 2017 7:01:22 PM","","","37.98" 
"BDC00-Management","Apr 1, 2017 7:21:22 PM","","","37.99" 
"BDC01-Horizon","Apr 2, 2017 2:56:22 AM","","","16.8" 
"BDC01-Horizon","Apr 2, 2017 3:06:22 AM","","","16.78" 
"BDC01-Linux","Mar 30, 2017 9:31:22 AM","","18.49","" 
"BDC01-Linux","Mar 30, 2017 9:40:00 AM","18.32","","" 
"BDC01-Linux","Mar 30, 2017 9:41:22 AM","","18.49","" 
"BDC01-Linux","Mar 31, 2017 1:30:00 PM","18.48","","" 
"BDC01-Linux","Mar 31, 2017 1:36:22 PM","","18.58","" 
"BDC01-Linux","Apr 1, 2017 9:51:22 PM","","","18.67" 
"BDC01-Linux","Apr 1, 2017 10:11:22 PM","","","18.68" 
"BDC01-Linux","Apr 2, 2017 4:16:22 AM","","","18.69" 
"BDC01-Linux","Apr 2, 2017 4:46:22 AM","","","18.7"

我需要Export-Csv与每天的高数一个线路输出每个“名称”。例如：

 
"Name","timestamp","CPU|Demand (%)","CPU|Demand (%) (Trend)","CPU|Demand (%) (30 days forecast)" 
"BDC00-Management","Mar 2, 2017","34.19","30.68","" 
"BDC00-Management","Mar 3, 2017","33.44","30.98","" 
"BDC00-Management","Apr 1, 2017","","","37.99" 
"BDC01-Horizon","Apr 2, 2017","","","16.8" 
"BDC01-Linux","Mar 30, 2017","18.32","18.49","" 
"BDC01-Linux","Mar 31, 2017","18.48","18.58","" 
"BDC01-Linux","Apr 1, 2017","","","18.68" 
"BDC01-Linux","Apr 2, 2017","","","18.7"

源文件具有超过75万行，我需要减少在SharePoint自动化图形报告的大小。这是很大的，我不需要每5分钟的信息。

来源

2017-04-06 Gerald Begin

最简单的方法是使用Group-Object按名称和日期对条目进行分组，并在您计算最大值的位置生成一个新对象。请注意，这需要将整个CSV读入内存。它会很慢，并为很多行使用大量内存。

评论在代码中。尝试：

#Read csv-input 
Import-Csv -Path "c:\old.csv" | 
#Group entries by server and date 
Group-Object Name, { ($_.timestamp -as [datetime]).Date } | 
ForEach-Object { 
    #Create new object per server per day with max-values 
    New-Object -TypeName psobject -Property ([ordered]@{ 
     Name = $_.Group[0].Name 
     timestamp = ($_.Group[0].timestamp -as [datetime]).ToString("MMM d, yyyy") 
     "CPU|Demand (%)" = $_.Group | Measure-Object -Property "CPU|Demand (%)" -Maximum | ForEach-Object { if($_.Maximum -gt 0) { $_.Maximum } } 
     "CPU|Demand (%) (Trend)" = $_.Group | Measure-Object -Property "CPU|Demand (%) (Trend)" -Maximum | ForEach-Object { if($_.Maximum -gt 0) { $_.Maximum } } 
     "CPU|Demand (%) (30 days forecast)" = $_.Group | Measure-Object -Property "CPU|Demand (%) (30 days forecast)" -Maximum | ForEach-Object { if($_.Maximum -gt 0) { $_.Maximum } } 
    }) 
} | Export-Csv -Path "c:\new.csv" -NoTypeInformation

输出：

"Name","timestamp","CPU|Demand (%)","CPU|Demand (%) (Trend)","CPU|Demand (%) (30 days forecast)" 
"BDC00-Management","mar 2, 2017","34,19","30,68","" 
"BDC00-Management","mar 3, 2017","33,44","30,98","" 
"BDC00-Management","apr 1, 2017","","","37,99" 
"BDC01-Horizon","apr 2, 2017","","","16,8" 
"BDC01-Linux","mar 30, 2017","18,32","18,49","" 
"BDC01-Linux","mar 31, 2017","18,48","18,58","" 
"BDC01-Linux","apr 1, 2017","","","18,68" 
"BDC01-Linux","apr 2, 2017","","","18,7"

来源

2017-04-06 18:26:13

哇..完美的作品谢谢SOOOOO多:-) 你能推荐我一个电子书了这样的东西对PowerShell的？有美丽的一天:-) –

不，对不起。最好的方法是学习PowerShell是如何工作的，然后你就可以自己搞清楚。请查看https://mva.microsoft.com/en-US/training-courses/getting-started-with-microsoft-powershell-8276和https://www.youtube.com/user/powershelldon/featured。另外，如果它解决了您的问题以解决问题，请记住接受答案。 :-) –

阅读CSV文件，按日期的数据，计算几列该日期

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