看看http://associates-amazon.s3.amazonaws.com/signed-requests/helper/index.html
以下名称-值对:
Service=AWSECommerceService
Version=2011-08-01
AssociateTag=PutYourAssociateTagHere
Operation=ItemSearch
SearchIndex=Books
Keywords=harry+potter
Timestamp=2015-09-26T14:10:56.000Z
AWSAccessKeyId=123
The name-value pairs have been sorted according to byte-order
应该导致
AWSAccessKeyId=123
AssociateTag=PutYourAssociateTagHere
Keywords=harry%20potter
Operation=ItemSearch
SearchIndex=Books
Service=AWSECommerceService
Timestamp=2015-09-26T14%3A10%3A56.000Z
Version=2011-08-01
如何在 R 中实现这一点?
据我所知,它们是按其排序的
as.numeric(charToRaw(name))
值。如果第一个值相等,则按第二个值排序,然后是第三个值,依此类推。
问题:如何在 R 中执行此操作?
最佳答案
# Name-Value-Pairs
nvp <- list(
"Service"="AWSECommerceService",
"Version"="2011-08-01",
"AssociateTag"="PutYourAssociateTagHere",
"Operation"="ItemSearch",
"SearchIndex"="Books",
"Keywords"="harry potter",
"Timestamp"="2015-09-26T14:10:56.000Z",
"AWSAccessKeyId"="123"
)
获取字节:
bytes <- function(chr){
as.data.frame(t(as.numeric(charToRaw(chr))))
}
计算字节,并绑定(bind)值
b <- lapply(names(nvp), bytes)
b <- data.table::rbindlist(b, fill=TRUE) # other than base::rbind, this fills by NA
按第一列对名称进行排序,然后按第二列、第三列……依此类推
names(nvp)[do.call(order, as.list(b))]
[1] "AWSAccessKeyId" "AssociateTag" "Keywords" "Operation" "SearchIndex"
[6] "Service" "Timestamp" "Version"
最后nvp[do.call(order, as.list(b))]
返回正确排序的列表
关于r - 如何按 AWS 调用的字节顺序对列表进行排序,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/32798526/