amazon-s3

问题 I needed to change my AWS S3 bucket CORS policy to enable the upload of files for my ReactJS to AWS S3, but I keep getting this API response: Expected params.CORSConfiguration.CORSRules to be an Array. I am at a loss right now. Can anyone help? 回答1: I'm not sure if this helps. I ran into this same problem recently and it seems like AWS made some changes with how we define our CORS configurations. For example, if you want to allow certain Methods on your S3 bucket in the past you have to do

问题 If I make an Amazon s3 MP4 resource publically availible and then throw the Html5 Video tag around the resource's URL will it stream? Is it really that simple. There are a lot of "encoding" api's out there such as pandastream and zencoder and I'm not sure exactly what these companies do. Do they just manage bandwidth allocation(upgrading/downgrading stream quality and delivery rate/cross-platform optimization?) Or do encoding services do more then that. 回答1: This is Brandon from Zencoder.

问题 Using Boto3 Python SDK , I was able to download files using the method bucket.download_file() Is there a way to download an entire folder? 回答1: quick and dirty but it works: import boto3 import os def downloadDirectoryFroms3(bucketName, remoteDirectoryName): s3_resource = boto3.resource('s3') bucket = s3_resource.Bucket(bucketName) for obj in bucket.objects.filter(Prefix = remoteDirectoryName): if not os.path.exists(os.path.dirname(obj.key)): os.makedirs(os.path.dirname(obj.key)) bucket

问题 I created a PySpark DataFrame df with Parquet data on AWS S3. Calling df.count() works, but df.show() or df.toPandas() fails with the following error: Py4JJavaError: An error occurred while calling o41.showString. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8.0 failed 1 times, most recent failure: Lost task 0.0 in stage 8.0 (TID 14, 10.20.202.97, executor driver): org.apache.http.ConnectionClosedException: Premature end of Content- Length delimited

问题 I created a PySpark DataFrame df with Parquet data on AWS S3. Calling df.count() works, but df.show() or df.toPandas() fails with the following error: Py4JJavaError: An error occurred while calling o41.showString. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8.0 failed 1 times, most recent failure: Lost task 0.0 in stage 8.0 (TID 14, 10.20.202.97, executor driver): org.apache.http.ConnectionClosedException: Premature end of Content- Length delimited

问题 I have an S3 bucket which is used as Access logging bucket. Here is my current module and resource TF code for that: module "access_logging_bucket" { source = "../../resources/s3_bucket" environment = "${var.environment}" region = "${var.region}" acl = "log-delivery-write" encryption_key_alias = "alias/ab-data-key" name = "access-logging" name_tag = "Access logging bucket" } resource "aws_s3_bucket" "default" { bucket = "ab-${var.environment}-${var.name}-${random_id.bucket_suffix.hex}" acl =

问题 I have an S3 bucket which is used as Access logging bucket. Here is my current module and resource TF code for that: module "access_logging_bucket" { source = "../../resources/s3_bucket" environment = "${var.environment}" region = "${var.region}" acl = "log-delivery-write" encryption_key_alias = "alias/ab-data-key" name = "access-logging" name_tag = "Access logging bucket" } resource "aws_s3_bucket" "default" { bucket = "ab-${var.environment}-${var.name}-${random_id.bucket_suffix.hex}" acl =

问题 I'm an aws python newbie and trying to account for total bucket size shown via metrics tab on UI vs calculating sizes one folder at a time in a give bucket. I tried to fetch it by setting an inventory configuration but it doesn't show what I'm looking for. I have an s3 bucket names my_bucket with versioning enabled. It has 100 Objects and 26 subfolders (will 100000+ objects in each subfolder and atleast two versions for each of the object) WHAT I AM TRYING TO DO: Calculate and display total

问题 I'm an aws python newbie and trying to account for total bucket size shown via metrics tab on UI vs calculating sizes one folder at a time in a give bucket. I tried to fetch it by setting an inventory configuration but it doesn't show what I'm looking for. I have an s3 bucket names my_bucket with versioning enabled. It has 100 Objects and 26 subfolders (will 100000+ objects in each subfolder and atleast two versions for each of the object) WHAT I AM TRYING TO DO: Calculate and display total

问题 I'm an aws python newbie and trying to account for total bucket size shown via metrics tab on UI vs calculating sizes one folder at a time in a give bucket. I tried to fetch it by setting an inventory configuration but it doesn't show what I'm looking for. I have an s3 bucket names my_bucket with versioning enabled. It has 100 Objects and 26 subfolders (will 100000+ objects in each subfolder and atleast two versions for each of the object) WHAT I AM TRYING TO DO: Calculate and display total