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* add yts_torrents project (#116) * add yts_torrents project * Added Python Script HacktoberFest 2019 (#128) * Added whatsapp-message Script * Update README.md * Script: Importance Checker (Updated Project List) (#132) * Add files to fork * Update README.md * Fixed ToDoBot link (#133) To Do bot link was using "-" instead of %20 Changed path to folders Removed full repo path to folders to make project robust to cloning as discussed on issue #139 on [AzureNotebooks](https://github.com/Microsoft/AzureNotebooks/issues/193). Fixed clean up photo directory name Fixed file organizer link Script: Importance Checker (Updated Project List) (#132) * Add files to fork * Update README.md Squash Squash Fixed ToDoBot link To Do bot link was using "-" instead of %20 parent 7c58b564104cdd1990492276292f04ec19009e57 author MatTerra <mateus.b.s.terra@gmail.com> 1574710004 -0300 committer MatTerra <mateus.b.s.terra@gmail.com> 1574710650 -0300 Squash Fixed ToDoBot link To Do bot link was using "-" instead of %20 Squash Changed path to folders Removed full repo path to folders to make project robust to cloning as discussed on issue #139 on [AzureNotebooks](https://github.com/Microsoft/AzureNotebooks/issues/193). Fixed ToDoBot link To Do bot link was using "-" instead of %20 Script: Importance Checker (Updated Project List) (#132) * Add files to fork * Update README.md * All changes made : Script added (#130) * Added whatsapp-message Script * Update README.md Co-authored-by: Ayush Bhardwaj <classicayush@gmail.com> * Revert "All changes made : Script added (#130)" (#135) This reverts commit |
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send_to_sqs.py |
Send messages to sqs in parallel
A python script that will take a file with a lot of messages to be sent to sqs and will send them to a queue in highly parallelized manner.
This is especially useful for batch processing requests.
Works when aws configure
is done correctly or iam role is attached to the machine
Requirement
pip3 install boto3
#Usage Go to Upload_files_to_s3 directory and add your folder's name you want to upload to s3 and then run upload_files_to_s3.py as below:
$ python3 send_to_sqs.py