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This is a generic simple key/value store interface that abstracts away the storage implementation details behind an API and rest interface. We use it when persisting serialized objects out of active memory sets into more efficient but slower storage mechanisms.

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Floe Microservice

This presents a simple key value data store with a list of ids and configurable backends.

Configuration

You can configure docker with environmental variables.

new relic can use the standard environmental variables:

https://docs.newrelic.com/docs/agents/python-agent/installation-configuration/python-agent-configuration#environment-variables

then you can add additonal environmental vars for backends.

FLOE_URL_FOO='file://.floe'
FLOE_URL_BAR='file:///tmp/floe'
FLOE_URL_BAZZ='mysql://root:pass@127.0.0.1:3306/test?table=bazz'
FLOE_URL_QUUX='http://127.0.0.1:995/my_namespace'

API

You can add other connectors. The interface provides the following methods:

  • get
  • get_multi
  • set
  • set_multi
  • delete
  • delete_multi
  • ids
  • flush

The ids method returns a generator to iterate. The multi methods allow you do do batch operations on multiple keys.

Running Locally

Due to some inconsistencies with the way request bodies are handled in different WSGI implementations, PUT requests with a missing or incorrect Content-Length header may hang (https://falcon.readthedocs.io/en/stable/user/faq.html#why-does-req-stream-read-hang-for-certain-requests).

An easy workaround for this when running the server locally is to use gunicorn rather than wsgiref.simple_server

$ pip install gunicorn
$ gunicorn -w 4 run:app

About

This is a generic simple key/value store interface that abstracts away the storage implementation details behind an API and rest interface. We use it when persisting serialized objects out of active memory sets into more efficient but slower storage mechanisms.

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