Task 19 – Implementing RPCParDo in the Python SDK
This task will be a reimplementation of Task 8 from Chapter 3, Implementing Pipelines using Stateful Processing. We will use a stateful DoFn to batch the elements for a defined maximal amount of time. As always, we will restate the problem again for clarity.
Problem definition
Use a given RPC service to augment data in the input stream using batched RPCs with batches whose size are about K elements. Also, resolve the batch after, at most, time T to avoid (possibly) an infinitely long waiting time for elements in small batches.
As in the previous task, we will skip the discussion of the problem's decomposition as we discussed that when we implemented Task 8. Instead, we will jump directly into its implementation using the Python SDK.
Solution implementation
The implementation can be found in chapter6/src/main/python/rpc_par_do.py. It can be broken down into the RPCParDoStateful transform, which is declared...
