[DRAFT] feat: added client side metric instrumentation to read_rows and mutate_rows#16758
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daniel-sanche
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Code Review
This pull request integrates client-side metrics tracking into Bigtable data operations, including ReadRows and MutateRows, for both asynchronous and synchronous implementations. It introduces tracked_retry to capture operation metrics and refactors read_row to utilize operation classes directly, supported by extensive new system and unit tests. Feedback identifies opportunities to improve the efficiency of read_row by using next() or __anext__ on generators instead of converting them to lists, and suggests adding a type ignore comment in the synchronous code for consistency.
| raise close_exception | ||
| except Exception as generic_exception: | ||
| # handle exceptions in retry wrapper | ||
| raise generic_exception |
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Should we try extract the status code from Exception and call end_with_status in this block also? For example, if the stream timed out mid stream, will it be captured in the metrics?
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In this case, the exceptions are being captured by the tracked_retry object. I tried to cover the various tracking strategies here: go/bigtable-csm-python
| bt_exceptions.FailedMutationEntryError(idx, entry, cause_exc) | ||
| ) | ||
| if all_errors: | ||
| raise bt_exceptions.MutationsExceptionGroup( |
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will this affect extracting the grpc status code for the metric since we wrap it in a different exception?
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We have logic for converting exceptions to statuses is here. When we encounter an exception group, we use the last failure as the status
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Migration of googleapis/python-bigtable#1256 to the monorepo
Builds off of #16712 to add instrumentation to read_rows and mutate_rows, along with the mutation batcher