Struct TransformStep 

#[non_exhaustive]
pub struct TransformStep {
    pub import_table_step: Option<ImportTableOperation>,
    pub project_step: Option<ProjectOperation>,
    pub filters_step: Option<FiltersOperation>,
    pub create_columns_step: Option<CreateColumnsOperation>,
    pub rename_columns_step: Option<RenameColumnsOperation>,
    pub cast_column_types_step: Option<CastColumnTypesOperation>,
    pub join_step: Option<JoinOperation>,
    pub aggregate_step: Option<AggregateOperation>,
    pub pivot_step: Option<PivotOperation>,
    pub unpivot_step: Option<UnpivotOperation>,
    pub append_step: Option<AppendOperation>,
}

A step in data preparation that performs a specific operation on the data.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

import_table_step: Option<ImportTableOperation>

A transform step that brings data from a source table.

project_step: Option<ProjectOperation>

A transform operation that projects columns. Operations that come after a projection can only refer to projected columns.

filters_step: Option<FiltersOperation>

A transform step that applies filter conditions.

create_columns_step: Option<CreateColumnsOperation>

A transform operation that creates calculated columns. Columns created in one such operation form a lexical closure.

rename_columns_step: Option<RenameColumnsOperation>

A transform step that changes the names of one or more columns.

cast_column_types_step: Option<CastColumnTypesOperation>

A transform step that changes the data types of one or more columns.

join_step: Option<JoinOperation>

A transform step that combines data from two sources based on specified join conditions.

aggregate_step: Option<AggregateOperation>

A transform step that groups data and applies aggregation functions to calculate summary values.

pivot_step: Option<PivotOperation>

A transform step that converts row values into columns to reshape the data structure.

unpivot_step: Option<UnpivotOperation>

A transform step that converts columns into rows to normalize the data structure.

append_step: Option<AppendOperation>

A transform step that combines rows from multiple sources by stacking them vertically.

Implementations

impl TransformStep

pub fn import_table_step(&self) -> Option<&ImportTableOperation>

A transform step that brings data from a source table.

pub fn project_step(&self) -> Option<&ProjectOperation>

A transform operation that projects columns. Operations that come after a projection can only refer to projected columns.

pub fn filters_step(&self) -> Option<&FiltersOperation>

A transform step that applies filter conditions.

pub fn create_columns_step(&self) -> Option<&CreateColumnsOperation>

A transform operation that creates calculated columns. Columns created in one such operation form a lexical closure.

pub fn rename_columns_step(&self) -> Option<&RenameColumnsOperation>

A transform step that changes the names of one or more columns.

pub fn cast_column_types_step(&self) -> Option<&CastColumnTypesOperation>

A transform step that changes the data types of one or more columns.

pub fn join_step(&self) -> Option<&JoinOperation>

A transform step that combines data from two sources based on specified join conditions.

pub fn aggregate_step(&self) -> Option<&AggregateOperation>

A transform step that groups data and applies aggregation functions to calculate summary values.

pub fn pivot_step(&self) -> Option<&PivotOperation>

A transform step that converts row values into columns to reshape the data structure.

pub fn unpivot_step(&self) -> Option<&UnpivotOperation>

A transform step that converts columns into rows to normalize the data structure.

pub fn append_step(&self) -> Option<&AppendOperation>

A transform step that combines rows from multiple sources by stacking them vertically.

impl TransformStep

pub fn builder() -> TransformStepBuilder

Creates a new builder-style object to manufacture TransformStep.

Trait Implementations

impl Clone for TransformStep

fn clone(&self) -> TransformStep

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for TransformStep

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

Formats the value using the given formatter.

impl PartialEq for TransformStep

fn eq(&self, other: &TransformStep) -> 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 StructuralPartialEq for TransformStep