polars_lazy::prelude

Enum DslPlan

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pub enum DslPlan {
Show 17 variants Filter { input: Arc<DslPlan>, predicate: Expr, }, Cache { input: Arc<DslPlan>, id: usize, }, Scan { sources: ScanSources, file_info: Option<FileInfo>, file_options: FileScanOptions, scan_type: FileScan, cached_ir: Arc<Mutex<Option<IR>>>, }, DataFrameScan { df: Arc<DataFrame>, schema: Arc<Schema<DataType>>, }, Select { expr: Vec<Expr>, input: Arc<DslPlan>, options: ProjectionOptions, }, GroupBy { input: Arc<DslPlan>, keys: Vec<Expr>, aggs: Vec<Expr>, apply: Option<(Arc<dyn DataFrameUdf>, Arc<Schema<DataType>>)>, maintain_order: bool, options: Arc<GroupbyOptions>, }, Join { input_left: Arc<DslPlan>, input_right: Arc<DslPlan>, left_on: Vec<Expr>, right_on: Vec<Expr>, predicates: Vec<Expr>, options: Arc<JoinOptions>, }, HStack { input: Arc<DslPlan>, exprs: Vec<Expr>, options: ProjectionOptions, }, Distinct { input: Arc<DslPlan>, options: DistinctOptionsDSL, }, Sort { input: Arc<DslPlan>, by_column: Vec<Expr>, slice: Option<(i64, usize)>, sort_options: SortMultipleOptions, }, Slice { input: Arc<DslPlan>, offset: i64, len: u64, }, MapFunction { input: Arc<DslPlan>, function: DslFunction, }, Union { inputs: Vec<DslPlan>, args: UnionArgs, }, HConcat { inputs: Vec<DslPlan>, options: HConcatOptions, }, ExtContext { input: Arc<DslPlan>, contexts: Vec<DslPlan>, }, Sink { input: Arc<DslPlan>, payload: SinkType, }, IR { node: Option<Node>, version: u32, dsl: Arc<DslPlan>, },
}

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Filter

Filter on a boolean mask

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§input: Arc<DslPlan>
§predicate: Expr
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Cache

Cache the input at this point in the LP

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§input: Arc<DslPlan>
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Scan

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§sources: ScanSources
§file_info: Option<FileInfo>

Materialized at IR except for AnonymousScan.

§file_options: FileScanOptions
§scan_type: FileScan
§cached_ir: Arc<Mutex<Option<IR>>>

Local use cases often repeatedly collect the same LazyFrame (e.g. in interactive notebook use-cases), so we cache the IR conversion here, as the path expansion can be quite slow (especially for cloud paths).

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DataFrameScan

In memory DataFrame

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Select

Polars’ select operation, this can mean projection, but also full data access.

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§expr: Vec<Expr>
§input: Arc<DslPlan>
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GroupBy

Groupby aggregation

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§input: Arc<DslPlan>
§keys: Vec<Expr>
§aggs: Vec<Expr>
§maintain_order: bool
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Join

Join operation

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§input_left: Arc<DslPlan>
§input_right: Arc<DslPlan>
§left_on: Vec<Expr>
§right_on: Vec<Expr>
§predicates: Vec<Expr>
§options: Arc<JoinOptions>
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HStack

Adding columns to the table without a Join

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§input: Arc<DslPlan>
§exprs: Vec<Expr>
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Distinct

Remove duplicates from the table

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§input: Arc<DslPlan>
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Sort

Sort the table

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§input: Arc<DslPlan>
§by_column: Vec<Expr>
§slice: Option<(i64, usize)>
§sort_options: SortMultipleOptions
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Slice

Slice the table

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§input: Arc<DslPlan>
§offset: i64
§len: u64
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MapFunction

A (User Defined) Function

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§input: Arc<DslPlan>
§function: DslFunction
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Union

Vertical concatenation

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§inputs: Vec<DslPlan>
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HConcat

Horizontal concatenation of multiple plans

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§inputs: Vec<DslPlan>
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ExtContext

This allows expressions to access other tables

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§input: Arc<DslPlan>
§contexts: Vec<DslPlan>
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Sink

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§input: Arc<DslPlan>
§payload: SinkType
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IR

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§node: Option<Node>
§version: u32

Implementations§

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impl DslPlan

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pub fn compute_schema(&self) -> Result<Arc<Schema<DataType>>, PolarsError>

Compute the schema. This requires conversion to IR and type-resolving.

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impl DslPlan

Trait Implementations§

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impl Clone for DslPlan

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fn clone(&self) -> DslPlan

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Default for DslPlan

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fn default() -> DslPlan

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for DslPlan

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fn deserialize<__D>( __deserializer: __D, ) -> Result<DslPlan, <__D as Deserializer<'de>>::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl From<DslPlan> for LazyFrame

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fn from(plan: DslPlan) -> Self

Converts to this type from the input type.
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impl Serialize for DslPlan

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fn serialize<__S>( &self, __serializer: __S, ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more

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