AzureQstor: R interface to Azure Queue Storage now on GitHub
This article is originally published at https://blog.revolutionanalytics.com/
Queue Storage is a service for storing large numbers of messages, for example from automated sensors, that can be accessed remotely via authenticated calls using HTTP or HTTPS. A single queue message can be up to 64 KB in size, and a queue can contain millions of messages, up to the total capacity limit of a storage account. Queue storage is often used to create a backlog of work to process asynchronously.
AzureQstor uses a combination of S3 and R6 classes. The queue endpoint is an S3 object for compatibility with AzureStor, while R6 classes are used to represent queues and messages.
The queue object exposes methods for getting (reading), peeking, deleting, updating, popping (reading and deleting) and putting (writing) messages:
The message object exposes methods for deleting and updating the message:
You can also get and set metadata for a queue with the AzureStor
It’s anticipated that AzureQstor will be submitted to CRAN before long. If you are a queue storage user, please install it and give it a try; any feedback or bug report is much appreciated. You can email me or open an issue on GitHub.
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