如何在一组滚动的桶中创建一个包含数据计数的集合 [英] How to make a set containing count of data in rolling set of buckets

问题描述

我有一个月流量的服务器日志.下面的部分示例

I have the server logs for a months worth of traffic. Partial example below

"UploadDateGMT","UserFileSize","TotalBusinessUnits"
"2012-01-01 00:00:38","1223","1"
"2012-01-01 00:01:16","1302","1"
"2012-01-01 00:08:10","1302","1"

我想将其转换为一个数据集，其中我可以滚动计算每五分钟窗口中提交的字节数.(即 0-5、1-6、2-7 等)由此，我可以提取最大负载、95% 负载、制作漂亮的负载图表等.

I would like to convert this into a data set where I have a count of how many bytes of submissions there were in each five minute window on a rolling basis. (i.e. 0-5, 1-6, 2-7, etc.) From this, I could extract maximum load, 95% load, make pretty graphs of load, etc.

推荐答案

要扩展 @PLapointe 的 answer::>

To expand on @PLapointe's answer:

endp <- endpoints(tab2, on="mins", k=1) # 1 minute endpoints
onemin <- period.apply(tab2,endp,sum)   # sum per 1-minute period
onemin <- align.time(onemin)            # align to end-of-period times
# all one-minute increments from start--end of onemin
allonemin <- seq(start(onemin), end(onemin), by="1 min")
onemin <- merge(onemin, xts(,allonemin))
fivemin <-  rollapplyr(onemin, 5, sum, na.rm=TRUE, fill=NA)

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