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perf(cli): parallelize deploy metadata fetch and function uploads #1793
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a8f3e3a
perf(cli): parallelize deploy RPCs for version check and applies
dqn 610711d
refactor(cli): extract shared concurrency probe test helper
dqn 034ba27
fix(cli): respect DDL serialization and bound function upload streams
dqn 33b5ccf
fix(cli): share one apply-concurrency budget per function change
dqn b052079
perf(cli): overlap function creates and updates
dqn 2bef878
docs(cli): update apply concurrency description
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,5 @@ | ||
| --- | ||
| "@tailor-platform/sdk": patch | ||
| --- | ||
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| Speed up deploy by running SDK version detection and function uploads concurrently |
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The concurrent
getMetadatafetch has no concurrency cap.function-registry.tsbounds its uploads withcreateApplyLimiter()(TAILOR_APPLY_CONCURRENCY), but this one firesgetMetadatafor every candidate TRN at once.On projects with many resources this risks overloading the platform. Suggest limiting it with the same
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getMetadatais a unary RPC, so these calls already pass through theconcurrencyLimitInterceptor()installed byinitOperatorClient(). That interceptor shares a singlecreateApplyLimiter()budget across all unary calls on the client, so adding another call-site limiter here would only duplicate the existing cap.