Struct AnalyticsLiveSketches 

pub struct AnalyticsLiveSketches {
    pub enabled: bool,
    pub freshness_target_ms: u64,
}

Live in-process sketches config (DW-092, analytics.live_sketches).

The sketches are maintained inside the embedded analytics runtime and updated on every record() call — a per-route rolling window (size = freshness_target_ms) with request/error counts and a capped latency-sample vector. Percentiles are computed at snapshot time (sort-and-pick, O(n log n) with n capped at 1000), never on the hot path. No new dependencies: the sketches are hand-rolled with atomics and a short mutex, the same approach as the load-generator’s histogram.

Fields

enabled: bool

Whether live sketches are maintained (default true when the block is present). Setting false disables the in-process sketches while keeping the block present (a no-op shape that reads as coverage).

freshness_target_ms: u64

The rolling window size in milliseconds (default 500). Also the freshness target: a snapshot reflects at most this much staleness. Validated to [100, 5000] — below 100 is timer churn, above 5000 is no longer “live”.

Trait Implementations

impl Clone for AnalyticsLiveSketches

fn clone(&self) -> AnalyticsLiveSketches

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnalyticsLiveSketches

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for AnalyticsLiveSketches

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for AnalyticsLiveSketches

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

The name of the generated JSON Schema.

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

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

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.

impl PartialEq for AnalyticsLiveSketches

fn eq(&self, other: &AnalyticsLiveSketches) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for AnalyticsLiveSketches

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for AnalyticsLiveSketches