Struct CovarianceSample

pub struct CovarianceSample { /* private fields */ }

Implementations

impl CovarianceSample

pub fn new() -> Self

Trait Implementations

impl AggregateUDFImpl for CovarianceSample

fn as_any(&self) -> &dyn Any

Returns this object as an Any trait object

fn name(&self) -> &str

Returns this function’s name

fn signature(&self) -> &Signature

Returns the function’s Signature for information about what input types are accepted and the function’s Volatility.

fn return_type(&self, arg_types: &[DataType]) -> Result<DataType>

What DataType will be returned by this function, given the types of the arguments

fn state_fields(&self, args: StateFieldsArgs<'_>) -> Result<Vec<Field>>

Return the fields used to store the intermediate state of this accumulator.

fn accumulator( &self, _acc_args: AccumulatorArgs<'_>, ) -> Result<Box<dyn Accumulator>>

Return a new Accumulator that aggregates values for a specific group during query execution.

fn aliases(&self) -> &[String]

Returns any aliases (alternate names) for this function.

fn documentation(&self) -> Option<&Documentation>

Returns the documentation for this Aggregate UDF.

fn is_nullable(&self) -> bool

Whether the aggregate function is nullable.

fn groups_accumulator_supported(&self, _args: AccumulatorArgs<'_>) -> bool

If the aggregate expression has a specialized GroupsAccumulator implementation. If this returns true, [Self::create_groups_accumulator] will be called.

fn create_groups_accumulator( &self, _args: AccumulatorArgs<'_>, ) -> Result<Box<dyn GroupsAccumulator>, DataFusionError>

Return a specialized GroupsAccumulator that manages state for all groups.

fn create_sliding_accumulator( &self, args: AccumulatorArgs<'_>, ) -> Result<Box<dyn Accumulator>, DataFusionError>

Sliding accumulator is an alternative accumulator that can be used for window functions. It has retract method to revert the previous update.

fn with_beneficial_ordering( self: Arc<Self>, _beneficial_ordering: bool, ) -> Result<Option<Arc<dyn AggregateUDFImpl>>, DataFusionError>

Sets the indicator whether ordering requirements of the AggregateUDFImpl is satisfied by its input. If this is not the case, UDFs with order sensitivity AggregateOrderSensitivity::Beneficial can still produce the correct result with possibly more work internally.

fn order_sensitivity(&self) -> AggregateOrderSensitivity

Gets the order sensitivity of the UDF. See AggregateOrderSensitivity for possible options.

fn simplify( &self, ) -> Option<Box<dyn Fn(AggregateFunction, &dyn SimplifyInfo) -> Result<Expr, DataFusionError>>>

Optionally apply per-UDaF simplification / rewrite rules.

fn reverse_expr(&self) -> ReversedUDAF

Returns the reverse expression of the aggregate function.

fn coerce_types( &self, _arg_types: &[DataType], ) -> Result<Vec<DataType>, DataFusionError>

Coerce arguments of a function call to types that the function can evaluate.

fn equals(&self, other: &dyn AggregateUDFImpl) -> bool

Return true if this aggregate UDF is equal to the other.

fn hash_value(&self) -> u64

Returns a hash value for this aggregate UDF.

fn is_descending(&self) -> Option<bool>

If this function is max, return true If the function is min, return false Otherwise return None (the default)

fn value_from_stats( &self, _statistics_args: &StatisticsArgs<'_>, ) -> Option<ScalarValue>

Return the value of this aggregate function if it can be determined entirely from statistics and arguments.

fn default_value( &self, data_type: &DataType, ) -> Result<ScalarValue, DataFusionError>

Returns default value of the function given the input is all null.

impl Debug for CovarianceSample

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

Formats the value using the given formatter.

impl Default for CovarianceSample

fn default() -> Self

Returns the “default value” for a type.