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S3 Bucket referencing old code/api? Angular 5


By : steinberger
Date : October 17 2020, 08:10 PM
Hope that helps CloudFront will cache it. The idea of using CloudFront is it would copy/cache the S3 contents into the local zone from where it is requested hence reducing latency for the end user.
You will need to invalidate the contents you want refreshed. If you go into the CloudFront console you should be able to do it.
code :


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Group/bin/bucket data in R and get count per bucket and sum of values per bucket


By : Cícero Viana
Date : March 29 2020, 07:55 AM
With these it helps From the comments, "C2" seems to be "character" column with % as suffix. Before, creating a group, remove the % using sub, convert to "numeric" (as.numeric). The variable "group" is created (transform(df,...)) by using the function cut with breaks (group buckets/intervals) and labels (for the desired group labels) arguments. Once the group variable is created, the sum of the "C1" by "group" and the "count" of elements within "group" can be done using aggregate from "base R"
code :
df1 <-  transform(df, group=cut(as.numeric(sub('[%]', '', C2)), 
    breaks=c(-Inf,0.005, 0.010, 0.014, Inf),
      labels=c('<0.005', 0.005, 0.01, 0.014)))

 res <- do.call(data.frame,aggregate(C1~group, df1, 
        FUN=function(x) c(Count=length(x), Sum=sum(x))))

 dNew <- data.frame(group=levels(df1$group))
 merge(res, dNew, all=TRUE)
 #   group C1.Count    C1.Sum
 #1 <0.005        2 3491509.6
 #2  0.005       NA        NA
 #3   0.01        2  302997.1
 #4  0.014        8  364609.5
 library(data.table)
  setDT(df1)[, list(Count=.N, Sum=sum(C1)), by=group][]
 library(dplyr)
 df1 %>%
      group_by(group) %>% 
      summarise_each(funs(n(), Sum=sum(.)), C1)
df1 <- transform(df, group=cut(C2,  breaks=c(-Inf,0.005, 0.010, 0.014, Inf),
                             labels=c('<0.005', 0.005, 0.01, 0.014)))

res <- do.call(data.frame,aggregate(cbind(C1,C3)~group, df1, 
       FUN=function(x) c(Count=length(x), Sum=sum(x))))
res
#  group C1.Count    C1.Sum C3.Count C3.Sum
#1 <0.005        2 3491509.6        2  91233
#2   0.01        2  302997.1        2  88843
#3  0.014        8  364609.5        8 268809
 df1%>%
      group_by(group) %>%
       summarise_each(funs(n(), Sum=sum(.)), C1, C3)
 #Source: local data frame [3 x 5]

 #  group C1_n C3_n    C1_Sum C3_Sum
 #1 <0.005    2    2 3491509.6  91233
 #2   0.01    2    2  302997.1  88843
 #3  0.014    8    8  364609.5 268809
df <-structure(list(C1 = c(49488.01172, 268221.1563, 34775.96094, 
13046.98047, 2121699.75, 71155.09375, 1369809.875, 750, 44943.82813, 
85585.04688, 31090.10938, 68550.40625), C2 = c("0.0512%", "0.0128%", 
"0.0128%", "0.07241%", "0.00453%", "0.0181%", "0.00453%", "0.2048%", 
"0.0362%", "0.0362%", "0.0362%", "0.0181%")), .Names = c("C1", 
"C2"), row.names = c(NA, -12L), class = "data.frame")

CORS policy for S3 bucket referencing itself


By : user3479969
Date : March 29 2020, 07:55 AM
hope this fix your issue Looks like I didn't set the bucket policy to allow access to the ../../images/ folder.
New bucket policy (CORS looked to be correct)
code :
{
    "Version": "2008-10-17",
    "Statement": [
        {
            "Sid": "AllowPublicRead",
            "Effect": "Allow",
            "Principal": {
                "AWS": "*"
            },
            "Action": "s3:GetObject",
            "Resource": [
                "arn:aws:s3:::media.example.com/prod",
                "arn:aws:s3:::media.example.com/images"
            ]
        }
    ]
}

Access denied when put bucket policy on aws s3 bucket with root user (= bucket owner)


By : user2086921
Date : March 29 2020, 07:55 AM
it should still fix some issue
Uncheck 2 rows for fixing the access denied. But please remember reading it clearly and consider it before you create a new bucket. Permission is really important.

Referencing an existing S3 bucket to save file using Boto


By : hantoren
Date : March 29 2020, 07:55 AM
it should still fix some issue Your code looks reasonable. The get_bucket method will either return a Bucket object or, if the specified bucket name does not exist, it will raise an S3ResponseError.
You could simplify your code a little:

Upload to AWS S3 bucket in Angular 2 project based on angular/quickstart


By : Anirudh Madhavan
Date : March 29 2020, 07:55 AM
help you fix your problem Your CORS configuration on the S3 bucket looks fine for the scenario you describe.
I believe the problem is with the endpoint URL that is resulting from your code. I had a similar problem and it was confusing and rather difficult to track down.
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