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chore(core): Allow log events to have a non-object root value #12705
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Soak Test ResultsBaseline: 86eb58f ExplanationA soak test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine, quickly, if vector performance is changed and to what degree by a pull request. Where appropriate units are scaled per-core. The table below, if present, lists those experiments that have experienced a statistically significant change in their throughput performance between baseline and comparision SHAs, with 90.0% confidence OR have been detected as newly erratic. Negative values mean that baseline is faster, positive comparison. Results that do not exhibit more than a ±8.87% change in mean throughput are discarded. An experiment is erratic if its coefficient of variation is greater than 0.3. The abbreviated table will be omitted if no interesting changes are observed. No interesting changes in throughput with confidence ≥ 90.00% and absolute Δ mean >= ±8.87%: Fine details of change detection per experiment.
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blt
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Cool, makes a lot of sense to me. Glad to see this done.
Soak Test ResultsBaseline: 58dcd7f ExplanationA soak test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine, quickly, if vector performance is changed and to what degree by a pull request. Where appropriate units are scaled per-core. The table below, if present, lists those experiments that have experienced a statistically significant change in their throughput performance between baseline and comparision SHAs, with 90.0% confidence OR have been detected as newly erratic. Negative values mean that baseline is faster, positive comparison. Results that do not exhibit more than a ±8.87% change in mean throughput are discarded. An experiment is erratic if its coefficient of variation is greater than 0.3. The abbreviated table will be omitted if no interesting changes are observed. Changes in throughput with confidence ≥ 90.00% and absolute Δ mean >= ±8.87%:
Fine details of change detection per experiment.
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Most recent soak results might be a consequence of being behind master branch. |
Soak Test ResultsBaseline: f238e5e ExplanationA soak test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine, quickly, if vector performance is changed and to what degree by a pull request. Where appropriate units are scaled per-core. The table below, if present, lists those experiments that have experienced a statistically significant change in their throughput performance between baseline and comparision SHAs, with 90.0% confidence OR have been detected as newly erratic. Negative values mean that baseline is faster, positive comparison. Results that do not exhibit more than a ±8.87% change in mean throughput are discarded. An experiment is erratic if its coefficient of variation is greater than 0.3. The abbreviated table will be omitted if no interesting changes are observed. No interesting changes in throughput with confidence ≥ 90.00% and absolute Δ mean >= ±8.87%: Fine details of change detection per experiment.
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Soak Test ResultsBaseline: d03a526 ExplanationA soak test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine, quickly, if vector performance is changed and to what degree by a pull request. Where appropriate units are scaled per-core. The table below, if present, lists those experiments that have experienced a statistically significant change in their throughput performance between baseline and comparision SHAs, with 90.0% confidence OR have been detected as newly erratic. Negative values mean that baseline is faster, positive comparison. Results that do not exhibit more than a ±8.87% change in mean throughput are discarded. An experiment is erratic if its coefficient of variation is greater than 0.3. The abbreviated table will be omitted if no interesting changes are observed. No interesting changes in throughput with confidence ≥ 90.00% and absolute Δ mean >= ±8.87%: Fine details of change detection per experiment.
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Soak Test ResultsBaseline: 2003705 ExplanationA soak test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine, quickly, if vector performance is changed and to what degree by a pull request. Where appropriate units are scaled per-core. The table below, if present, lists those experiments that have experienced a statistically significant change in their throughput performance between baseline and comparision SHAs, with 90.0% confidence OR have been detected as newly erratic. Negative values mean that baseline is faster, positive comparison. Results that do not exhibit more than a ±8.87% change in mean throughput are discarded. An experiment is erratic if its coefficient of variation is greater than 0.3. The abbreviated table will be omitted if no interesting changes are observed. No interesting changes in throughput with confidence ≥ 90.00% and absolute Δ mean >= ±8.87%: Fine details of change detection per experiment.
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Soak Test ResultsBaseline: cf08648 ExplanationA soak test is an integrated performance test for vector in a repeatable rig, with varying configuration for vector. What follows is a statistical summary of a brief vector run for each configuration across SHAs given above. The goal of these tests are to determine, quickly, if vector performance is changed and to what degree by a pull request. Where appropriate units are scaled per-core. The table below, if present, lists those experiments that have experienced a statistically significant change in their throughput performance between baseline and comparision SHAs, with 90.0% confidence OR have been detected as newly erratic. Negative values mean that baseline is faster, positive comparison. Results that do not exhibit more than a ±8.87% change in mean throughput are discarded. An experiment is erratic if its coefficient of variation is greater than 0.3. The abbreviated table will be omitted if no interesting changes are observed. No interesting changes in throughput with confidence ≥ 90.00% and absolute Δ mean >= ±8.87%: Fine details of change detection per experiment.
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This allows LogEvent to be any value, not just an object. This has no change for traces / metrics.
This PR is mostly internal cleanup / changes to allow the "log namespace" RFC to utilize this. There should be no user-facing changes here (except for the VRL playground). Changes to sources/transforms/sinks will happen later, only if the new log namespace is selected, since that could be a breaking change otherwise.
Summary of changes:
LogEventthat would panic if the event root was not an object was updated to return anOption.LogEvent::from_parts()was renamed toLogEvent::from_map()LogEvent::from_parts()now takes aValueinstead of aBTreeMapValueinsert / get / etc. methods were mostly unused, and removed. These assumed the root was an object.All of the
*_by_path_v2functions were implemented and the suffix was removed to replace the old methods._flatfunctions onLogEventwere removed. The new lookup code is now fast enough and flexible enough that the normal non*_flatfunctions can do the same thing.