Struct RangeQuery 

pub struct RangeQuery {
    pub field: Field,
    pub bound: RangeBound,
}

Fast-field range query.

Scans all documents in a segment and yields those whose fast-field value falls within [min, max] (inclusive). Score is always 1.0.

Fields

field: Field

bound: RangeBound

Implementations

impl RangeQuery

pub fn new(field: Field, bound: RangeBound) -> Self

pub fn u64_range(field: Field, min: Option<u64>, max: Option<u64>) -> Self

Convenience: u64 range

pub fn i64_range(field: Field, min: Option<i64>, max: Option<i64>) -> Self

Convenience: i64 range

pub fn f64_range(field: Field, min: Option<f64>, max: Option<f64>) -> Self

Convenience: f64 range

Trait Implementations

impl Clone for RangeQuery

fn clone(&self) -> RangeQuery

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RangeQuery

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

Formats the value using the given formatter.

impl Display for RangeQuery

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

Formats the value using the given formatter.

impl Query for RangeQuery

fn scorer<'a>( &self, reader: &'a SegmentReader, _limit: usize, ) -> ScorerFuture<'a>

Create a scorer for this query against a single segment (async)

fn scorer_sync<'a>( &self, reader: &'a SegmentReader, _limit: usize, ) -> Result<Box<dyn Scorer + 'a>>

Create a scorer synchronously (mmap/RAM only).

fn count_estimate<'a>(&self, reader: &'a SegmentReader) -> CountFuture<'a>

Estimated number of matching documents in a segment (async)

fn is_filter(&self) -> bool

True if this query is a pure filter (always scores 1.0, no positions). Used by the planner to convert non-selective MUST filters into predicates.

fn as_doc_predicate<'a>( &self, reader: &'a SegmentReader, ) -> Option<DocPredicate<'a>>

For filter queries: return a cheap per-doc predicate against a segment. The predicate does O(1) work per doc (e.g., fast-field lookup).

fn as_term_query_info(&self) -> Option<TermQueryInfo>

Return term info if this is a simple term query eligible for MaxScore optimization

fn as_sparse_term_query_info(&self) -> Option<SparseTermQueryInfo>

Return sparse term info if this is a single-dimension sparse query eligible for MaxScore optimization