- #Polling in sqs queue python zip file
- #Polling in sqs queue python download
From everything I have read, it is not best practice (and sometimes not possible) to create a large number of open pub/sub sockets/channels. Use pub/sub to create a socket for the job, and return the response when complete. We are struggling with the best way to notify the end user in real-time that their job has finished and their file is ready for download.įrom my research I have seen three ways that people suggest: This process appears to be a solid approach, and everything makes sense up until step 4. Now that the queue has finished processing, alert the client that their job is done and their file is ready for download. #Polling in sqs queue python zip file
When a job is found, the worker downloads the files from S3, zips them up, and returns the finished zip file to the specified location on S3. The queue worker uses long polling to check for new SQS jobs.Front-end sends a request to SQS with the files to be zipped, and the destination (on S3) where the final zip file will be stored.User selects files and requests a zip file to be created.
Our application is AWS cloud based, so my first instinct is to use Amazon SQS (but am open to other suggestions) to build a queue system to handle these requests.
#Polling in sqs queue python download
While the process is running, the front-end will tell the user their request is processing, and when it is complete, it will prompt them to download the file. We would like the process to work in real time, so that when the user clicks the button to download a zip file, the system processes the request, compiles the zip, and returns the zip to the end user. We would like to add a feature to the system that allows users to select multiple files at once and download them as a zip file.
Currently those users can download the files directly from S3/Cloudfront through our application. sqs_polling ( queue_url = your_queue_url, callback = your_callback, max_workers = 64 ) # Parallel processing with up to 4 processes.Our application allows users to upload (Amazon S3) and manage their files through our interface. # Parallel processing with up to 64 threads.
process_worker: If this is True, processes is used instead of threads. max_workers: Max number of concurrent threads or processes. It can be controlled by the following arguments. Sqs-polling can process messages in parallel using threads or processes. visibility_timeout: Message visibility timeout seconds. interval_seconds: Message reception interval seconds. The body here refers to $.Messages.Body JSON element of SQS messages. extract_body: Whether to extract the message body. The arguments related to polling settings are as follows. from sqs_polling import sqs_polling def your_callback ( message, greeting ): print ( greeting + message ) return True your_queue_url = "", sqs_polling ( queue_url = your_queue_url, callback = your_callback, callback_args = sqs_polling ( queue_url = your_queue_url, callback = your_callback, aws_profile_dict = your_aws_profile ) Polling The key function is sqs_polling, please check its interface. If your callback function returns True, deletes the message. Receives messages and executes your callback.
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