Struct TermQuery 

pub struct TermQuery {
    pub field: Field,
    pub term: Vec<u8>,
    /* private fields */
}

Term query - matches documents containing a specific term

Fields

field: Field

term: Vec<u8>

Implementations

impl TermQuery

pub fn new(field: Field, term: impl Into<Vec<u8>>) -> Self

pub fn text(field: Field, text: &str) -> Self

pub fn with_wand_data( field: Field, field_name: &str, term: &str, wand_data: Arc<WandData>, ) -> Self

Create a term query with pre-computed WAND data for collection-wide IDF

This enables more accurate scoring when querying across multiple segments, as the IDF values are computed from the entire collection rather than per-segment.

pub fn set_wand_data(&mut self, field_name: &str, wand_data: Arc<WandData>)

Set WAND data for this query

Trait Implementations

impl Clone for TermQuery

fn clone(&self) -> TermQuery

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TermQuery

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

Formats the value using the given formatter.

impl Query for TermQuery

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

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

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

Estimated number of matching documents in a segment (async)