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See the detailed analysis https://docs.google.com/document/d/1efVAMcEw7-R_KatHHcobcFBlNsre-DoThVHI8AO2SDQ/edit?tab=t.0 I ran extensive benchmarks using synthetic data as well as real WAL segments pulled from the prombench runs. All benchmarks are here https://github.com/prometheus/prometheus/compare/bwplotka/wal-reuse?expand=1 * optimization(tsdb/wlog): reuse Ref* buffers across WAL watchers' reads Signed-off-by: bwplotka <bwplotka@gmail.com> * optimization(tsdb/wlog): avoid expensive error wraps Signed-off-by: bwplotka <bwplotka@gmail.com> * optimization(tsdb/wlog): reuse array for filtering Signed-off-by: bwplotka <bwplotka@gmail.com> * fmt Signed-off-by: bwplotka <bwplotka@gmail.com> * lint fix Signed-off-by: bwplotka <bwplotka@gmail.com> * tsdb/record: add test for clear() on histograms Signed-off-by: bwplotka <bwplotka@gmail.com> * updated WriteTo with what's currently expected Signed-off-by: bwplotka <bwplotka@gmail.com> --------- Signed-off-by: bwplotka <bwplotka@gmail.com> |
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| .. | ||
| azuread | ||
| googleiam | ||
| otlptranslator/prometheusremotewrite | ||
| chunked.go | ||
| chunked_test.go | ||
| client.go | ||
| client_test.go | ||
| codec.go | ||
| codec_test.go | ||
| dial_context.go | ||
| dial_context_test.go | ||
| ewma.go | ||
| intern.go | ||
| intern_test.go | ||
| max_timestamp.go | ||
| metadata_watcher.go | ||
| metadata_watcher_test.go | ||
| queue_manager.go | ||
| queue_manager_test.go | ||
| read.go | ||
| read_handler.go | ||
| read_handler_test.go | ||
| read_test.go | ||
| stats.go | ||
| storage.go | ||
| storage_test.go | ||
| write.go | ||
| write_handler.go | ||
| write_handler_test.go | ||
| write_otlp_handler.go | ||
| write_otlp_handler_test.go | ||
| write_test.go | ||