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PipelineTimings

Struct PipelineTimings 

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pub struct PipelineTimings {
Show 24 fields pub discover_files_ms: f64, pub file_count: usize, pub workspaces_ms: f64, pub workspace_count: usize, pub plugins_ms: f64, pub script_analysis_ms: f64, pub parse_extract_ms: f64, pub parse_cpu_ms: f64, pub parse_cache_load_ms: f64, pub module_count: usize, pub cache_hits: usize, pub cache_misses: usize, pub cache_rejection: Option<CacheRejection>, pub graph_cache_rejection: Option<CacheRejection>, pub cache_update_ms: f64, pub entry_points_ms: f64, pub entry_point_spans: EntryPointSpans, pub entry_point_count: usize, pub resolve_imports_ms: f64, pub build_graph_ms: f64, pub analyze_ms: f64, pub duplication_ms: Option<f64>, pub total_ms: f64, pub counters: PipelineCounters,
}
Expand description

Pipeline performance timings.

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§discover_files_ms: f64

Time spent discovering files.

§file_count: usize

Number of discovered files.

§workspaces_ms: f64

Time spent discovering workspaces.

§workspace_count: usize

Number of discovered workspaces.

§plugins_ms: f64

Time spent running plugin discovery.

§script_analysis_ms: f64

Time spent analyzing package scripts and CI configuration.

§parse_extract_ms: f64

Wall-clock time spent parsing and extracting modules.

§parse_cpu_ms: f64

Summed parser CPU time across workers.

§parse_cache_load_ms: f64

The part of parse_extract_ms that reads and decodes the persisted parse cache. Zero with --no-cache.

§module_count: usize

Number of extracted modules.

§cache_hits: usize

Number of files loaded from the parse cache.

§cache_misses: usize

Number of files parsed without a cache hit.

§cache_rejection: Option<CacheRejection>

Why the persisted parse cache was not reused, when it was not. None means the cache was loaded; the hit and miss counts then describe how much of it applied.

§graph_cache_rejection: Option<CacheRejection>

Why the persisted module-graph cache was not reused, when it was not.

§cache_update_ms: f64

Time spent updating the parse cache.

§entry_points_ms: f64

Time spent categorizing entry points.

§entry_point_spans: EntryPointSpans

Sub-phase attribution for entry_points_ms.

§entry_point_count: usize

Number of entry points considered.

§resolve_imports_ms: f64

Time spent resolving imports.

§build_graph_ms: f64

Time spent building the module graph.

§analyze_ms: f64

Time spent running analysis.

§duplication_ms: Option<f64>

Time spent running duplicate-code analysis, when included.

§total_ms: f64

Total pipeline time.

§counters: PipelineCounters

Deterministic work counts for this run.

Trait Implementations§

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impl Clone for PipelineTimings

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fn clone(&self) -> PipelineTimings

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for PipelineTimings

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fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter. Read more
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impl JsonSchema for PipelineTimings

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fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema. Read more
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fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type. Read more
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fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type. Read more
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fn inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword. Read more
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impl Serialize for PipelineTimings

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fn serialize<__S>( &self, __serializer: __S, ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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