Richard Belleville
244279cb36
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6 years ago | |
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test | Lay out bones of example | 6 years ago |
BUILD.bazel | Lay out bones of example | 6 years ago |
README.md | Start writing README | 6 years ago |
client.py | Add client CLI | 6 years ago |
hash_name.proto | Switch over to a generator | 6 years ago |
server.py | Switch over to a generator | 6 years ago |
README.md
Cancelling RPCs
RPCs may be cancelled by both the client and the server.
Cancellation on the Client Side
A client may cancel an RPC for several reasons. Perhaps the data it requested has been made irrelevant. Perhaps you, as the client, want to be a good citizen of the server and are conserving compute resources.
Cancellation on the Server Side
A server is reponsible for cancellation in two ways. It must respond in some way when a client initiates a cancellation, otherwise long-running computations could continue indefinitely.
It may also decide to cancel the RPC for its own reasons. In our example, the server can be configured to cancel an RPC after a certain number of hashes has been computed in order to conserve compute resources.
Responding to Cancellations from a Servicer Thread
It's important to remember that a gRPC Python server is backed by a thread pool with a fixed size. When an RPC is cancelled, the library does not terminate your servicer thread. It is your responsibility as the application author to ensure that your servicer thread terminates soon after the RPC has been cancelled.
In this example, we use the ServicerContext.add_callback
method to set a
threading.Event
object when the RPC is terminated. We pass this Event
object
down through our hashing algorithm and ensure to check that the RPC is still
ongoing before each iteration.
Initiating a Cancellation from a Servicer
Initiating a cancellation from the server side is simpler. Just call
ServicerContext.cancel()
.