⚡ Bolt: Run datasource health checks concurrently in Registry.HealthReport - #131
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This pull request refactors the HealthReport function in pkg/proxy/registry.go to perform health checks concurrently using goroutines, preventing slow or timing-out datasources from blocking the entire process. It also adds a unit test to verify this concurrent behavior. The review feedback suggests using defer cancel() inside the goroutine to prevent context leaks and checking the parent context status before initiating health checks.
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Code Review
This pull request updates the HealthReport method in pkg/proxy/registry.go to run health checks concurrently using goroutines, preventing slow or timing-out datasources from blocking the overall reporting process. It also adds a unit test to verify this behavior and updates the documentation. The feedback suggests using defer cancel() instead of manually calling cancel() to ensure context resources are reliably released on all execution paths.
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Code Review
This pull request refactors the HealthReport method in pkg/proxy/registry.go to run health checks concurrently using goroutines, preventing a single slow or timing-out datasource from blocking others. It also adds a unit test to verify this concurrent behavior. The feedback points out that returning early when ctx.Err() != nil inside the goroutine can cause datasources to be silently omitted from the final report map if the context is cancelled before the goroutine executes. Removing this early return ensures all datasources are consistently represented in the report with an explicit error status.
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Code Review
This pull request refactors the HealthReport method in pkg/proxy/registry.go to run health checks concurrently using goroutines, preventing a single slow or timing-out datasource from blocking others. It also adds a corresponding unit test to verify this behavior. The reviewer suggested limiting the maximum concurrency of these health checks using a semaphore (buffered channel) to prevent potential resource exhaustion when dealing with a large number of datasources.
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This pull request refactors the datasource health check reporting in pkg/proxy/registry.go to run concurrently with bounded concurrency, preventing slow or timing-out datasources from blocking others. It also adds corresponding unit tests and updates the performance journal. A review comment points out that a Git merge conflict marker (<<<<<<< HEAD) was accidentally left at the top of .jules/bolt.md and needs to be removed.
…erve full reporting
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Code Review
This pull request refactors the HealthReport method in pkg/proxy/registry.go to execute datasource health checks concurrently with bounded concurrency using a semaphore, and documents this pattern in .jules/bolt.md. It also adds corresponding unit tests. The review feedback suggests two improvements: refactoring the concurrent health check loop to avoid using defer inside a conditional select block and reducing struct initialization duplication, and replacing time.After with time.NewTimer in the test code to prevent potential memory leaks.
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Code Review
This pull request refactors the HealthReport method in pkg/proxy/registry.go to execute datasource health checks concurrently rather than sequentially, using a semaphore to bound concurrency. Corresponding unit tests and documentation in .jules/bolt.md were also added. The reviewer recommended refactoring the concurrency model to use a worker pool instead of spawning a goroutine per target, which would avoid
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Code Review
This pull request refactors the HealthReport function in pkg/proxy/registry.go to execute datasource health checks concurrently using a worker pool with bounded concurrency, preventing slow checks from blocking the entire process. It also updates the documentation in .jules/bolt.md and adds comprehensive unit tests. The review feedback suggests optimizing the implementation by checking for context cancellation early to avoid unnecessary worker initialization, and passing slice indices through the channel instead of copying the larger target struct to reduce memory overhead.
… indices in worker channel
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Code Review
This pull request introduces concurrent datasource health checks with bounded concurrency in pkg/proxy/registry.go to prevent slow or timing-out datasources from blocking the reporting thread, alongside updating documentation and adding comprehensive unit tests. The feedback suggests optimizing the concurrent result collection by using a pre-allocated slice instead of a shared map protected by a sync.Mutex, which eliminates mutex contention and makes the worker pool execution lock-free.
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Code Review
This pull request introduces concurrent datasource health checks with bounded concurrency in the proxy registry, preventing sequential timeouts from blocking the reporting thread. It also adds corresponding unit tests and documents this pattern in the learnings file. The review feedback suggests wrapping the health check execution in an anonymous function with panic recovery and deferred context cancellation to improve robustness and prevent a single failing datasource from crashing the application.
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Code Review
This pull request introduces concurrent datasource health checks with bounded concurrency in the proxy registry, replacing the previous sequential execution. It limits concurrency to a maximum of 16 simultaneous checks to prevent resource exhaustion, adds panic recovery for individual health checks, and handles context cancellation. Additionally, comprehensive unit tests have been added to verify these behaviors, and the learning documentation has been updated accordingly. There are no review comments, and I have no further feedback to provide.
Description
Optimized
Registry.HealthReportinpkg/proxy/registry.goto execute health checks across all registered datasources concurrently with bounded worker concurrency using a semaphore (buffered channel).Problem
Previously,$O(N \cdot \text{latency})$ , causing periodic reporting loops to stall. Unbounded concurrency would conversely risk file descriptor / socket exhaustion when hundreds of datasources are registered.
HealthReportexecuted health checks sequentially for every registered datasource with a 10-second timeout per check. When multiple datasources were configured and any failed or experienced high latency, health reporting blocked sequentially forSolution
sem := make(chan struct{}, limit)) capped atdefaultHealthCheckConcurrency = 16to prevent resource exhaustion.<-ctx.Done()during semaphore acquisition to immediately abort waiting routines and record explicit"error"statuses without blocking or leaking goroutines.defer cancel()on per-target timeout contexts to prevent context leaks.reportmap with mutex-protected insertions.Performance Impact
Type of change
How Has This Been Tested?
go test -v -race ./pkg/proxy)TestRegistry_HealthReportConcurrent)TestRegistry_HealthReportContextCancelled)go test ./...)make lint)Checklist
make validatepasses (fmt + lint + test)