bucket

Using Couchbase 5.0 and its Java client 2.0.3, I have the following error. Just following these instructions to open a bucket: https://developer.couchbase.com/documentation/server/current/sdk/java/managing-connections.html As explained, with a basic local configuration, it's just a matter of two lines of code: Cluster cluster = CouchbaseCluster.create(); Bucket bucket = cluster.openBucket("hero"); That should open the localhost cluster (it actually does) and afterwards open a bucket called "hero", which actually exists in my Couchbase server. Nevertheless, I keep getting the following error:

I need to download every hour 100 newest files from s3 server. bucketList = bucket.list(PREFIX) The code above creates list of the files but it is not depend on the uploading time of the files, since it lists by file name? I can do nothing with file name. It is given randomly. Thanks. How big is the list? You could sort the list on the 'last_modified' attr of the Key orderedList = sorted(bucketList, key=lambda k: k.last_modified) keysYouWant = orderedList[0:100] If your list is HUGE this may not be efficient. Check out the inline docs for the list() function in boto.s3.bucket.Bucket. My

I'm using AWS IAM STS (via boto) to create credentials for my accessing an S3 bucket. I'm at a loss as to what's wrong in the following policy. I've simplified my policy down as much as possible and am still getting unexpected results. When I get the token for the user I attach the following policy: user_policy_string = r'{"Statement":[{"Effect":"Allow","Action": "s3:*","Resource":"arn:aws:s3:::*"}]}' This works, but is obviously a little too permissive. In narrowing down the permissions associated with these credentials I attempt to use the same policy, but specify the bucket: user_policy

I am quite new to Cassandra, I just learned it with Datastax courses, but I don't find enough information on bucket here or on the Internet and in my application I need to use buckets to split my data. I have some instruments that will make measures, quite a lot, and splitting the measures daily (timestamp as partition key) might be a bit risky as we can easily reach the limit of 100MB for a partition. Each measure concerns a specific object identified with an ID. So I would like to use a bucket, but I don't know how to do. I'm using Cassandra 3.7 Here is how my table will look like, roughly:

I am working on hosting static websites on amazon S3.The structure of the website would be bucket-name/site-name/files.html .Now,my issue is the user can use his own domain to publish the website.For ex: He owns a domain like www.ABC.com and wants to host his site there. I have set up a reverse proxy server on an ec2 instance for proxing the requests i.e some one hitting www.ABC.com should see the content from the S3 bucket or the domain name should point to the S3 bucket. I am aware there are DNS changes and updation of CNAME and A records,but I also need to write RULES in NGINX config to

Suppose I need to store 1000 objects in Hashset, is it better that I have 1000 buckets containing each object( by generating unique value for hashcode for each object) or have 10 buckets roughly containing 100 objects? 1 advantage of having unique bucket is that I can save execution cycle on calling equals() method? Why is it important to have set number of buckets and distribute the objects amoung them as evenly as possible? What should be the ideal object to bucket ratio? Why is it important to have set number of buckets and distribute the objects amoung them as evenly as possible? A HashSet

I'm trying these policy through console.aws.amazon.com on my buckets: { "Statement": [ { "Effect": "Allow", "Action": [ "s3:ListBucket", "s3:GetBucketLocation", "s3:ListBucketMultipartUploads" ], "Resource": "arn:aws:s3:::itnighq", "Condition": {} }, { "Effect": "Allow", "Action": [ "s3:AbortMultipartUpload", "s3:DeleteObject", "s3:DeleteObjectVersion", "s3:GetObject", "s3:GetObjectAcl", "s3:GetObjectVersion", "s3:GetObjectVersionAcl", "s3:PutObject", "s3:PutObjectAcl", "s3:PutObjectAclVersion" ], "Resource": "arn:aws:s3:::itnighq/*", "Condition": {} }, { "Effect": "Allow", "Action": "s3