Struct AdaptiveSelector 

pub struct AdaptiveSelector {
    pub sample_size: usize,
}

Adaptive encoding selector.

Uses stratified sampling: divides the column into NUM_STRATA equal segments and samples sample_size / NUM_STRATA values from the start of each segment. This captures data characteristics across the entire column, not just the leading values.

Fields

sample_size: usize

Total number of values to sample (spread across strata).

Implementations

impl AdaptiveSelector

pub fn new() -> Self

Create a new adaptive selector with the default sample size.

pub fn analyze_floats(&self, values: &[f64]) -> FloatPattern

Analyze a float column sample and determine the best encoding.

pub fn analyze_strings(&self, values: &[&str]) -> StringPattern

Analyze a string column sample and determine the best encoding.

pub fn analyze_integers(&self, values: &[i64]) -> IntegerPattern

Analyze an integer column sample and determine the best encoding.

pub fn encode_f64_adaptive(&self, values: &[f64]) -> Result<EncodedBlock>

Encode a float column with adaptive selection.

Uses sample-based trial encoding: trial-encodes only a stratified sample with each candidate encoder to pick the winner, then encodes the full column exactly once with the best encoder.

Errors

Returns an error if encoding fails or the input is empty.

pub fn encode_string_adaptive(&self, values: &[&str]) -> Result<EncodedBlock>

Encode a string column with adaptive selection.

Errors

Returns an error if encoding fails or the input is empty.

Trait Implementations

impl Clone for AdaptiveSelector

fn clone(&self) -> AdaptiveSelector

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdaptiveSelector

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

Formats the value using the given formatter.

impl Default for AdaptiveSelector

fn default() -> Self

Returns the “default value” for a type.