The Coherence Python Client allows Python applications to act as cache clients to an Oracle Coherence cluster using gRPC as the network transport.

• Familiar Map-like interface for manipulating cache entries including but not limited to:
  • put, put_if_absent, put_all, get, get_all, remove, clear, get_or_default, replace, replace_mapping, size, is_empty, contains_key, contains_value
• Cluster-side querying, aggregation and filtering of map entries
• Cluster-side manipulation of map entries using EntryProcessors
• Registration of listeners to be notified of:
  • mutations such as insert, update and delete on Maps
  • map lifecycle events such as truncated, released or destroyed
  • session lifecycle events such as connected, disconnected, reconnected and closed
• Support for storing Python objects as JSON as well as the ability to serialize to Java objects on the server for access from other Coherence language API's

• Coherence CE 22.06.11+ or Coherence 14.1.1.2206.11+, 14.1.2.0+ Commercial edition with a configured gRPCProxy.
• Usage of module coherence.ai requires Coherence CE 24.09.2+
• Python 3.9.x or later

Before testing the Python client, you must ensure a Coherence cluster is available. For local development, we recommend using the Coherence CE Docker image; it contains everything necessary for the client to operate correctly.

docker run -d -p 1408:1408 ghcr.io/oracle/coherence-ce:25.03.2

python3 -m pip install coherence-client

https://oracle.github.io/coherence-py-client/

The following example connects to a Coherence cluster running gRPC Proxy on default port of 1408, creates a new NamedCache with key str and value of a str|int and issues put(), get(), size() and remove operations.

from coherence import NamedCache, Session import asyncio from typing import Union async def run_test(): # create a new Session to the Coherence server session: Session = await Session.create() # create a new NamedCache with key of string|int and value of string|int cache: NamedCache[str, Union[str,int]] = await session.get_cache("test") # put a new key/value k: str = "one" v: str = "only-one" await cache.put(k, v) # get the value for a key in the cache r = await cache.get(k) # print the value got for a key in the cache print("The value of key \"one\" is " + r) k1: str = "two" v1: int = 2 await cache.put(k1, v1) r = await cache.get(k1) print("The value of key \"two\" is " + str(r)) # print the size of the cache print("Size of the cache test is " + str(await cache.size())) # remove an entry from the cache await cache.remove(k1) # run the test asyncio.run(run_test())

We have a public Slack channel where you can get in touch with us to ask questions about using the Coherence Python Client or give us feedback or suggestions about what features and improvements you would like to see. We would love to hear from you. To join our channel, please visit this site to get an invitation. The invitation email will include details of how to access our Slack workspace. After you are logged in, please come to #coherence and say, "hello!"

If you would like to raise an issue please see here.

This project welcomes contributions from the community. Before submitting a pull request, please review our contribution guide

Please consult the security guide for our responsible security vulnerability disclosure process

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Released under the Universal Permissive License v1.0 as shown at https://oss.oracle.com/licenses/upl/.