⚡ Optimize connection cleanup loop to execute concurrently#21
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Converted the sequential `fetch_with_auth` requests in the `bridge.rs` stale connection cleanup loop into an iterator of futures and awaited them concurrently via `futures::future::join_all`. This replaces O(N) latency with O(1) latency for multiple requests. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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💡 What:
Optimized the cleanup loop of stale MCP connections in
crates/poke-around/src/bridge.rs. The code was transformed from a sequential loop ofawaited fetch calls into an asynchronous concurrent execution usingfutures::future::join_all.🎯 Why:
Awaiting HTTP requests sequentially in a loop results in accumulated latency (O(N) time). By mapping the tasks to futures and executing them concurrently, the latency bottleneck is drastically minimized. This ensures the daemon starts up and resolves stale states much faster without unnecessarily keeping the user waiting.
📊 Measured Improvement:
Since the optimization involves live HTTP requests using authentication to an external API (Poke API), constructing a valid automated benchmark in this sandbox environment is not viable without actual tokens. However, transitioning from synchronous sequential I/O to concurrent execution provides a mathematically guaranteed performance improvement for I/O bound workloads (latency changes from
O(N * req_latency)to roughlyO(max(req_latency))), eliminating N-1 Round Trip Times during cleanup.PR created automatically by Jules for task 1358706998225635212 started by @undivisible