gemini-code-assist[bot] commented on PR #37135:
URL: https://github.com/apache/beam/pull/37135#issuecomment-3667824362
## Summary of Changes
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this pull request and will post my feedback shortly. In the meantime, here's a
summary to help you and other reviewers quickly get up to speed!
This pull request enhances the Apache Beam Python SDK by introducing robust
support for external rate limiting using an Envoy Rate Limit Service. The core
addition is the "EnvoyRateLimiter" class, which allows Beam pipelines to
gracefully handle rate limits when interacting with external APIs or resources.
This feature is crucial for preventing service overload and ensuring stable
pipeline execution by dynamically adjusting the processing rate based on
external signals. The implementation includes retry mechanisms for both
connection failures and "OVER_LIMIT" responses, along with detailed metrics for
monitoring.
### Highlights
* **New EnvoyRateLimiter**: Introduced a new "EnvoyRateLimiter" class in the
Beam Python SDK to enable external rate limiting via an Envoy Rate Limit
Service (RLS).
* **Abstract RateLimiter Base Class**: Added an abstract "RateLimiter" base
class, providing a common interface for future rate limiting implementations.
* **Metrics Integration**: The "EnvoyRateLimiter" collects various metrics,
including total requests, allowed requests, throttled requests, RPC errors,
retries, and RPC latency, providing visibility into rate limiting behavior.
* **Shared Instance Management**: Utilizes Beam's "shared.Shared()" utility
to ensure that only a single "EnvoyRateLimiter" instance is created per worker
and shared across threads, optimizing resource usage.
* **Example and Tests**: Includes a new example pipeline
("rate_limiter_simple.py") demonstrating how to integrate the
"EnvoyRateLimiter" into a "DoFn", along with comprehensive unit tests for the
new functionality.
* **Dependency Update**: Added "envoy-data-plane" to "setup.py" to support
communication with the Envoy RLS.
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