Struct datafusion::datasource::physical_plan::NdJsonExec
source · pub struct NdJsonExec { /* private fields */ }
Expand description
Execution plan for scanning NdJson data source
Implementations§
source§impl NdJsonExec
impl NdJsonExec
sourcepub fn new(
base_config: FileScanConfig,
file_compression_type: FileCompressionType
) -> Self
pub fn new( base_config: FileScanConfig, file_compression_type: FileCompressionType ) -> Self
Create a new JSON reader execution plan provided base configurations
sourcepub fn base_config(&self) -> &FileScanConfig
pub fn base_config(&self) -> &FileScanConfig
Ref to the base configs
Trait Implementations§
source§impl Clone for NdJsonExec
impl Clone for NdJsonExec
source§fn clone(&self) -> NdJsonExec
fn clone(&self) -> NdJsonExec
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl Debug for NdJsonExec
impl Debug for NdJsonExec
source§impl ExecutionPlan for NdJsonExec
impl ExecutionPlan for NdJsonExec
source§fn as_any(&self) -> &dyn Any
fn as_any(&self) -> &dyn Any
Returns the execution plan as
Any
so that it can be
downcast to a specific implementation.source§fn output_partitioning(&self) -> Partitioning
fn output_partitioning(&self) -> Partitioning
Specifies the output partitioning scheme of this plan
source§fn unbounded_output(&self, _: &[bool]) -> Result<bool>
fn unbounded_output(&self, _: &[bool]) -> Result<bool>
Specifies whether this plan generates an infinite stream of records.
If the plan does not support pipelining, but its input(s) are
infinite, returns an error to indicate this.
source§fn output_ordering(&self) -> Option<&[PhysicalSortExpr]>
fn output_ordering(&self) -> Option<&[PhysicalSortExpr]>
If the output of this operator within each partition is sorted,
returns
Some(keys)
with the description of how it was sorted. Read moresource§fn ordering_equivalence_properties(&self) -> OrderingEquivalenceProperties
fn ordering_equivalence_properties(&self) -> OrderingEquivalenceProperties
Get the OrderingEquivalenceProperties within the plan
source§fn children(&self) -> Vec<Arc<dyn ExecutionPlan>>
fn children(&self) -> Vec<Arc<dyn ExecutionPlan>>
Get a list of child execution plans that provide the input for this plan. The returned list
will be empty for leaf nodes, will contain a single value for unary nodes, or two
values for binary nodes (such as joins).
source§fn with_new_children(
self: Arc<Self>,
_: Vec<Arc<dyn ExecutionPlan>>
) -> Result<Arc<dyn ExecutionPlan>>
fn with_new_children( self: Arc<Self>, _: Vec<Arc<dyn ExecutionPlan>> ) -> Result<Arc<dyn ExecutionPlan>>
Returns a new plan where all children were replaced by new plans.
source§fn execute(
&self,
partition: usize,
context: Arc<TaskContext>
) -> Result<SendableRecordBatchStream>
fn execute( &self, partition: usize, context: Arc<TaskContext> ) -> Result<SendableRecordBatchStream>
creates an iterator
source§fn statistics(&self) -> Statistics
fn statistics(&self) -> Statistics
Returns the global output statistics for this
ExecutionPlan
node.source§fn metrics(&self) -> Option<MetricsSet>
fn metrics(&self) -> Option<MetricsSet>
source§fn required_input_distribution(&self) -> Vec<Distribution>
fn required_input_distribution(&self) -> Vec<Distribution>
Specifies the data distribution requirements for all the
children for this operator, By default it’s [Distribution::UnspecifiedDistribution] for each child,
source§fn required_input_ordering(&self) -> Vec<Option<Vec<PhysicalSortRequirement>>>
fn required_input_ordering(&self) -> Vec<Option<Vec<PhysicalSortRequirement>>>
Specifies the ordering requirements for all of the children
For each child, it’s the local ordering requirement within
each partition rather than the global ordering Read more
source§fn maintains_input_order(&self) -> Vec<bool>
fn maintains_input_order(&self) -> Vec<bool>
Returns
false
if this operator’s implementation may reorder
rows within or between partitions. Read moresource§fn benefits_from_input_partitioning(&self) -> bool
fn benefits_from_input_partitioning(&self) -> bool
Returns
true
if this operator would benefit from
partitioning its input (and thus from more parallelism). For
operators that do very little work the overhead of extra
parallelism may outweigh any benefits Read moresource§fn equivalence_properties(&self) -> EquivalenceProperties
fn equivalence_properties(&self) -> EquivalenceProperties
Get the EquivalenceProperties within the plan
Auto Trait Implementations§
impl !RefUnwindSafe for NdJsonExec
impl Send for NdJsonExec
impl Sync for NdJsonExec
impl Unpin for NdJsonExec
impl !UnwindSafe for NdJsonExec
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more