pub struct RangeManipulate {
start: Millisecond,
end: Millisecond,
interval: Millisecond,
range: Millisecond,
time_index: String,
field_columns: Vec<String>,
input: LogicalPlan,
output_schema: DFSchemaRef,
}
Expand description
Time series manipulator for range function.
This plan will “fold” time index and value columns into RangeArrays, and truncate other columns to the same length with the “folded” RangeArray column.
To pass runtime information to the execution plan (or the range function), This plan will add those extra columns:
- timestamp range with type RangeArray, which is the folded timestamp column.
- end of current range with the same type as the timestamp column. (todo)
Fields§
§start: Millisecond
§end: Millisecond
§interval: Millisecond
§range: Millisecond
§time_index: String
§field_columns: Vec<String>
§input: LogicalPlan
§output_schema: DFSchemaRef
Implementations§
Source§impl RangeManipulate
impl RangeManipulate
pub fn new( start: Millisecond, end: Millisecond, interval: Millisecond, range: Millisecond, time_index: String, field_columns: Vec<String>, input: LogicalPlan, ) -> DataFusionResult<Self>
pub const fn name() -> &'static str
pub fn build_timestamp_range_name(time_index: &str) -> String
pub fn internal_range_end_col_name() -> String
fn range_timestamp_name(&self) -> String
fn calculate_output_schema( input_schema: &DFSchemaRef, time_index: &str, field_columns: &[String], ) -> DataFusionResult<DFSchemaRef>
pub fn to_execution_plan( &self, exec_input: Arc<dyn ExecutionPlan>, ) -> Arc<dyn ExecutionPlan>
pub fn serialize(&self) -> Vec<u8> ⓘ
pub fn deserialize(bytes: &[u8]) -> Result<Self>
Trait Implementations§
Source§impl Debug for RangeManipulate
impl Debug for RangeManipulate
Source§impl Hash for RangeManipulate
impl Hash for RangeManipulate
Source§impl PartialEq for RangeManipulate
impl PartialEq for RangeManipulate
Source§impl PartialOrd for RangeManipulate
impl PartialOrd for RangeManipulate
Source§impl UserDefinedLogicalNodeCore for RangeManipulate
impl UserDefinedLogicalNodeCore for RangeManipulate
Source§fn expressions(&self) -> Vec<Expr>
fn expressions(&self) -> Vec<Expr>
Returns all expressions in the current logical plan node. This
should not include expressions of any inputs (aka
non-recursively). These expressions are used for optimizer
passes and rewrites.
Source§fn fmt_for_explain(&self, f: &mut Formatter<'_>) -> Result
fn fmt_for_explain(&self, f: &mut Formatter<'_>) -> Result
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&self,
_exprs: Vec<Expr>,
inputs: Vec<LogicalPlan>,
) -> DataFusionResult<Self>
fn with_exprs_and_inputs( &self, _exprs: Vec<Expr>, inputs: Vec<LogicalPlan>, ) -> DataFusionResult<Self>
Create a new
UserDefinedLogicalNode
with the specified children
and expressions. This function is used during optimization
when the plan is being rewritten and a new instance of the
UserDefinedLogicalNode
must be created. Read more§fn prevent_predicate_push_down_columns(&self) -> HashSet<String>
fn prevent_predicate_push_down_columns(&self) -> HashSet<String>
A list of output columns (e.g. the names of columns in
self.schema()) for which predicates can not be pushed below
this node without changing the output. Read more
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fn from_template(&self, exprs: &[Expr], inputs: &[LogicalPlan]) -> Self
👎Deprecated since 39.0.0: use with_exprs_and_inputs instead
§fn necessary_children_exprs(
&self,
_output_columns: &[usize],
) -> Option<Vec<Vec<usize>>>
fn necessary_children_exprs( &self, _output_columns: &[usize], ) -> Option<Vec<Vec<usize>>>
Returns the necessary input columns for this node required to compute
the columns in the output schema Read more
§fn supports_limit_pushdown(&self) -> bool
fn supports_limit_pushdown(&self) -> bool
Returns
true
if a limit can be safely pushed down through this
UserDefinedLogicalNode
node. Read moreimpl Eq for RangeManipulate
impl StructuralPartialEq for RangeManipulate
Auto Trait Implementations§
impl Freeze for RangeManipulate
impl !RefUnwindSafe for RangeManipulate
impl Send for RangeManipulate
impl Sync for RangeManipulate
impl Unpin for RangeManipulate
impl !UnwindSafe for RangeManipulate
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