amazon-s3

问题 I try to display a .doc file stored on a S3 bucket inside an iframe thanks to google doc viewer api. I already did some research and found this, which i tried to apply here : var encodedUrl = encodeURIComponent("http://myAPI.com/1d293950-67b2-11e7-8530-318c83fb9802/example.docx?X-Amz-Algorithm=AWS4-HMAC-SHA256%26X-Amz-Credential=GNRO0BLDYAJP1FU7ALIS%2F20170717%2Fus-east-1%2Fs3%2Faws4_request%26X-Amz-Date=20170717T145429Z%26X-Amz-Expires=600%26X-Amz-SignedHeaders=host%26X-Amz-Signature

问题 we are trying to come up with a solution to have AWS S3 to host and distribute our Python packages. Basically what we want to do is using "python3 setup.py bdist_wheel" to create a wheel. Upload it to S3. Then any server or any machine can do "pip install $http://path/on/s3". (including a virtualenv in AWS lambda) (We've looked into Pypicloud and thought it's an overkill.) Creating package and installing from S3 work fine. There is only one issue here: we will release new code and give them

问题 I've been through quite a few suggestions given on this topic from other posts on Stackoverflow, but I'm still not successfully getting it to work. The website origin is on S3, it is being served via Cloudfront. Going through the other posts and Amazon docs, I'm seeing suggestions such as: 1) Gzip the necessary files, remove the .gz from the files name, but on uploading, still set the meta to gzip. This isn't working for me. Safari just downloads the gzipped file(s) instead of serving as a

问题 (new information below) I am trying to set up a lambda function that reacts to uploaded tgz files by uncompressing them and writing the results back to S3. The unzip and untar work fine, but uploading to S3 fails: /Users/russell/lambda/gzip/node_modules/aws-sdk/lib/s3/managed_upload.js:350 var buf = self.body.read(self.partSize - self.partBuffer.length) || ^ TypeError: undefined is not a function at ManagedUpload.fillStream (/Users/russell/lambda/gzip/node_modules/aws-sdk/lib/s3/managed

问题 I'm building a Kafka ingest module in EMR 5.11.1, Spark 2.2.1. My intention is to use Structured Streaming to consume from a Kafka topic, do some processing, and store to EMRFS/S3 in parquet format. Console sink works as expected, file sink does not work. In spark-shell : val event = spark.readStream.format("kafka") .option("kafka.bootstrap.servers", <server list>) .option("subscribe", <topic>) .load() val eventdf = event.select($"value" cast "string" as "json") .select(from_json($"json",

问题 All that I found, it's this method GET Bucket But I can't understand how can I get only a list of folders in the current folder. Which prefix and delimiter I need to use? Is that possible at all? 回答1: For the sake of example, assume I have a bucket in the USEast1 region called MyBucketName , with the following keys: temp/ temp/foobar.txt temp/txt/ temp/txt/test1.txt temp/txt/test2.txt temp2/ Working with folders can be confusing because S3 does not natively support a hierarchy structure --

问题 I am hosting a static website on Amazon S3. Some of my client-side javascript parses the query strings to control the HTML. This works fine locally, but on the S3-hosted version, the query strings seem to get dropped from the request. My motivation for using query strings is that I want to be able to pass state between pages based on what the user did on the previous page. Is this approach possible? Did I violate the "static" requirement for S3 static websites? I can't seem to find any

问题 Is it possible to upload content into S3 using a standard FTP client like FileZilla? I am unsure at the moment how best to get data uploaded in bulk. Thanks 回答1: S3 doesn't support ftp directly, but for the mac, you can use a tool like cyberduck.io and on windows cloudberry has a pretty complete set of tools (including some free ones): http://cyberduck.io/ http://www.cloudberrylab.com/ To the best of my knowledge, filezilla doesn't support s3, though I wouldn't be surprised if they do someday

问题 Is it possible to upload content into S3 using a standard FTP client like FileZilla? I am unsure at the moment how best to get data uploaded in bulk. Thanks 回答1: S3 doesn't support ftp directly, but for the mac, you can use a tool like cyberduck.io and on windows cloudberry has a pretty complete set of tools (including some free ones): http://cyberduck.io/ http://www.cloudberrylab.com/ To the best of my knowledge, filezilla doesn't support s3, though I wouldn't be surprised if they do someday

问题 I deployed my React website build/ folder into an AWS S3 bucket. If I go to www.mywebsite.com , it works and if I click on a tag to go to Project and About pages, it leads me to the right page. However, if I copy and send the page url or go straight to the link like: www.mywebsite.com/projects , it returns 404. Here's my App.js code: const App = () => ( <Router> <div> <NavBar/> <Switch> <Route exact path="/" component={Home}/> <Route exact path="/projects" component={Projects}/> <Route exact