amazon-s3

问题 I am creating an S3 client with a modified buffer size, however, it does not seem to make a difference as always the same amount of bytes is read from the stream. Example code: var s3Client = new AmazonS3Client(access, secret, token, new AmazonS3Config { RegionEndpoint = Amazon.RegionEndpoint.USEast1, BufferSize = 1000000, // 1 MB (completely arbitrary) }); await s3Client.PutObjectAsync(new PutObjectRequest { Key = fileName, Bucket = bucketName, InputStream = new MyCustomStream(...) }); When

问题 Here's the current scenario - I have multiple S3 Buckets , which have SQS events configured for PUTs of Objects from a FTP, which I have configured using S3FS. Also, I have multiple Directories on an EC2 , on which a User can PUT an object, which gets synced with the different S3 buckets (using S3FS), which generate SQS events(using S3's SQS events). Here's what I need to achieve, Instead of Multiple S3 buckets, I need to consolidate the logic on Folder level , ie. I have now created

问题 Here's the current scenario - I have multiple S3 Buckets , which have SQS events configured for PUTs of Objects from a FTP, which I have configured using S3FS. Also, I have multiple Directories on an EC2 , on which a User can PUT an object, which gets synced with the different S3 buckets (using S3FS), which generate SQS events(using S3's SQS events). Here's what I need to achieve, Instead of Multiple S3 buckets, I need to consolidate the logic on Folder level , ie. I have now created

问题 I have a database backup as sql file stored in s3 bucket. How can I import this file to the Aurora RDS directly without downloading it to my PC and import it manually? 回答1: If your data is a valid SQL dump, you can specify its S3 key while creating a new Aurora instance (via the AWS Console wizard or via CLI with --s3-bucket-name ... --s3-ingestion-role-arn ... --s3-prefix ... etc.). If you want to import CSV, XML or something like that, Aurora MySQL 1.8+ is providing the LOAD DATA FROM S3 /

问题 I have a database backup as sql file stored in s3 bucket. How can I import this file to the Aurora RDS directly without downloading it to my PC and import it manually? 回答1: If your data is a valid SQL dump, you can specify its S3 key while creating a new Aurora instance (via the AWS Console wizard or via CLI with --s3-bucket-name ... --s3-ingestion-role-arn ... --s3-prefix ... etc.). If you want to import CSV, XML or something like that, Aurora MySQL 1.8+ is providing the LOAD DATA FROM S3 /

问题 I am trying to add Tags while uploading to AWS s3 with putObject method.As per documentation I have created Tagging as String type.My file got uploaded to s3 but I am unable to see object level Tags of file object with the supplied tags data. Following code sample as per documentation var params = { Body: <Binary String>, Bucket: "examplebucket", Key: "HappyFace.jpg", Tagging: "key1=value1&key2=value2" }; s3.putObject(params, function(err, data) { if (err) console.log(err, err.stack); // an

问题 I am trying to add Tags while uploading to AWS s3 with putObject method.As per documentation I have created Tagging as String type.My file got uploaded to s3 but I am unable to see object level Tags of file object with the supplied tags data. Following code sample as per documentation var params = { Body: <Binary String>, Bucket: "examplebucket", Key: "HappyFace.jpg", Tagging: "key1=value1&key2=value2" }; s3.putObject(params, function(err, data) { if (err) console.log(err, err.stack); // an

问题 I am trying to add Tags while uploading to AWS s3 with putObject method.As per documentation I have created Tagging as String type.My file got uploaded to s3 but I am unable to see object level Tags of file object with the supplied tags data. Following code sample as per documentation var params = { Body: <Binary String>, Bucket: "examplebucket", Key: "HappyFace.jpg", Tagging: "key1=value1&key2=value2" }; s3.putObject(params, function(err, data) { if (err) console.log(err, err.stack); // an

问题 I am using python in AWS Lambda function to list keys in a s3 bucket that contains a specific id for object in mybucket.objects.all(): file_name = os.path.basename(object.key) match_id = file_name.split('_', 1)[0] The problem is if a s3 bucket has several thousand files the iteration is very inefficient and sometimes lambda function times out Here is an example file name https://s3.console.aws.amazon.com/s3/object/bucket-name/012345_abc_happy.jpg i want to only iterate objects that contains

问题 I am using python in AWS Lambda function to list keys in a s3 bucket that contains a specific id for object in mybucket.objects.all(): file_name = os.path.basename(object.key) match_id = file_name.split('_', 1)[0] The problem is if a s3 bucket has several thousand files the iteration is very inefficient and sometimes lambda function times out Here is an example file name https://s3.console.aws.amazon.com/s3/object/bucket-name/012345_abc_happy.jpg i want to only iterate objects that contains