Optimize Metric Processing for Single Collector with Delta Temporality #3236
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lalitb
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lalitb
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #3236 +/- ##
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+ Coverage 88.16% 88.18% +0.02%
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Files 198 198
Lines 6224 6241 +17
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+ Hits 5487 5503 +16
- Misses 737 738 +1
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lalitb
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lalitb
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marcalff
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Jan 13, 2025
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| if (collectors.size() == 1 && collector->GetAggregationTemporality( | ||
| instrument_descriptor_.type_) == AggregationTemporality::kDelta) |
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Nit: use the aggregation_temporarily local variable, from the previous line, in the if test.
marcalff
reviewed
Jan 13, 2025
| return true; | ||
| }); | ||
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| return callback(metric_data); |
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No idea if this can happen or not, does the code in the fast path needs to pay attention to previous metrics in unreported_metrics_ ?
If not, consider to add a comment to explain why, and/or an assert to make sure there are no unreported metrics.
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This introduces a fast path for cases with a single collector/reader using delta temporality. It skips unnecessary intermediate processing and directly generates metrics for callback, reducing memory usage and CPU overhead. This change is supposed to improve performance for common single-collector scenarios while retaining existing functionality for other cases.
Changes
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CHANGELOG.mdupdated for non-trivial changes