pub struct QueryDiagnostics {Show 21 fields
pub query_id: Option<QueryId>,
pub authorize_us: Option<u64>,
pub embed_ms: Option<f64>,
pub optimize_ms: Option<f64>,
pub physical_plan_ms: Option<f64>,
pub execute_plan_ms: Option<f64>,
pub vector_search_ms: Option<f64>,
pub graph_expand_ms: Option<f64>,
pub rerank_ms: Option<f64>,
pub neural_rerank_ms: Option<f64>,
pub decode_ms: Option<f64>,
pub assemble_ms: Option<f64>,
pub total_ms: Option<f64>,
pub records_scanned: Option<usize>,
pub records_returned: Option<usize>,
pub threshold_filtered_count: Option<usize>,
pub competitive_inhibition_count: Option<usize>,
pub truncated_by_limit_count: Option<usize>,
pub raw_text_redacted_results: Option<usize>,
pub multivector_fallback_count: Option<usize>,
pub neural_rerank_fallback_count: Option<usize>,
}Expand description
Per-stage timing breakdown for a query execution.
Fields§
§query_id: Option<QueryId>Unique query identifier.
Authorization evaluation time.
embed_ms: Option<f64>Embedding generation time.
optimize_ms: Option<f64>DataFusion logical-plan optimization duration.
physical_plan_ms: Option<f64>DataFusion physical-plan creation duration.
execute_plan_ms: Option<f64>DataFusion physical-plan execution and collection duration.
vector_search_ms: Option<f64>Vector search stage duration.
graph_expand_ms: Option<f64>Graph expansion stage duration.
rerank_ms: Option<f64>Reranking stage duration.
neural_rerank_ms: Option<f64>Neural reranker (cross-encoder / API) stage duration.
decode_ms: Option<f64>Secondary record-hydration duration (loading full records from storage after plan execution, separate from the context-assembly step itself). Only set by THINK queries; nil for RECALL and other query types.
assemble_ms: Option<f64>Assembly stage duration. For THINK queries this covers only
assemble_think_context; secondary hydration is in decode_ms.
total_ms: Option<f64>Total query execution time.
records_scanned: Option<usize>Number of records scanned during vector search.
records_returned: Option<usize>Number of records returned after filtering and reranking.
threshold_filtered_count: Option<usize>Number of candidates discarded before record fetch due to thresholding.
competitive_inhibition_count: Option<usize>Number of candidates penalized by competitive inhibition.
truncated_by_limit_count: Option<usize>Number of scored candidates dropped due to the requested limit.
raw_text_redacted_results: Option<usize>Number of returned records whose raw text was redacted by policy.
multivector_fallback_count: Option<usize>Number of times multivector MaxSim failed and recall fell back to composite-only ranking.
neural_rerank_fallback_count: Option<usize>Number of times the neural reranker failed and recall kept composite ordering.
Implementations§
Source§impl QueryDiagnostics
impl QueryDiagnostics
pub fn advanced_retrieval_fallback_summary(&self) -> Option<String>
Trait Implementations§
Source§impl Clone for QueryDiagnostics
impl Clone for QueryDiagnostics
Source§fn clone(&self) -> QueryDiagnostics
fn clone(&self) -> QueryDiagnostics
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for QueryDiagnostics
impl Debug for QueryDiagnostics
Source§impl Default for QueryDiagnostics
impl Default for QueryDiagnostics
Source§fn default() -> QueryDiagnostics
fn default() -> QueryDiagnostics
Auto Trait Implementations§
impl Freeze for QueryDiagnostics
impl RefUnwindSafe for QueryDiagnostics
impl Send for QueryDiagnostics
impl Sync for QueryDiagnostics
impl Unpin for QueryDiagnostics
impl UnsafeUnpin for QueryDiagnostics
impl UnwindSafe for QueryDiagnostics
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