pub struct PlanRoot<P> {
pub plan: PlanRef,
_phase: PhantomData<P>,
required_dist: RequiredDist,
required_order: Order,
out_fields: FixedBitSet,
out_names: Vec<String>,
}
Expand description
PlanRoot
is used to describe a plan. planner will construct a PlanRoot
with LogicalNode
.
and required distribution and order. And PlanRoot
can generate corresponding streaming or
batch plan with optimization. the required Order and Distribution columns might be more than the
output columns. for example:
select v1 from t order by id;
the plan will return two columns (id, v1), and the required order column is id. the id column is required in optimization, but the final generated plan will remove the unnecessary column in the result.
Fields§
§plan: PlanRef
§_phase: PhantomData<P>
§required_dist: RequiredDist
§required_order: Order
§out_fields: FixedBitSet
§out_names: Vec<String>
Implementations§
Source§impl PlanRoot<PlanPhaseLogical>
impl PlanRoot<PlanPhaseLogical>
pub fn new_with_logical_plan( plan: PlanRef, required_dist: RequiredDist, required_order: Order, out_fields: FixedBitSet, out_names: Vec<String>, ) -> Self
Source§impl PlanRoot<PlanPhaseBatch>
impl PlanRoot<PlanPhaseBatch>
pub fn new_with_batch_plan( plan: PlanRef, required_dist: RequiredDist, required_order: Order, out_fields: FixedBitSet, out_names: Vec<String>, ) -> Self
Source§impl<P: PlanPhase> PlanRoot<P>
impl<P: PlanPhase> PlanRoot<P>
fn new_inner( plan: PlanRef, required_dist: RequiredDist, required_order: Order, out_fields: FixedBitSet, out_names: Vec<String>, ) -> Self
fn into_phase<P2: PlanPhase>(self) -> PlanRoot<P2>
Source§impl PlanRoot<PlanPhaseLogical>
impl PlanRoot<PlanPhaseLogical>
Sourcepub fn into_unordered_subplan(self) -> PlanRef
pub fn into_unordered_subplan(self) -> PlanRef
Sourcepub fn into_array_agg(self) -> Result<PlanRef, RwError>
pub fn into_array_agg(self) -> Result<PlanRef, RwError>
Sourcepub fn gen_optimized_logical_plan_for_stream(
self,
) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
pub fn gen_optimized_logical_plan_for_stream( self, ) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
Apply logical optimization to the plan for stream.
Sourcepub fn gen_optimized_logical_plan_for_batch(
self,
) -> Result<BatchOptimizedLogicalPlanRoot, RwError>
pub fn gen_optimized_logical_plan_for_batch( self, ) -> Result<BatchOptimizedLogicalPlanRoot, RwError>
Apply logical optimization to the plan for batch.
pub fn gen_batch_plan(self) -> Result<BatchPlanRoot, RwError>
Source§impl PlanRoot<PlanPhaseBatchOptimizedLogical>
impl PlanRoot<PlanPhaseBatchOptimizedLogical>
Sourcepub fn gen_batch_plan(self) -> Result<BatchPlanRoot, RwError>
pub fn gen_batch_plan(self) -> Result<BatchPlanRoot, RwError>
Optimize and generate a singleton batch physical plan without exchange nodes.
Source§impl PlanRoot<PlanPhaseBatch>
impl PlanRoot<PlanPhaseBatch>
Sourcepub fn gen_batch_distributed_plan(self) -> Result<PlanRef, RwError>
pub fn gen_batch_distributed_plan(self) -> Result<PlanRef, RwError>
Optimize and generate a batch query plan for distributed execution.
Sourcepub fn gen_batch_local_plan(self) -> Result<PlanRef, RwError>
pub fn gen_batch_local_plan(self) -> Result<PlanRef, RwError>
Optimize and generate a batch query plan for local execution.
Source§impl PlanRoot<PlanPhaseLogical>
impl PlanRoot<PlanPhaseLogical>
Sourcefn gen_optimized_stream_plan(
self,
emit_on_window_close: bool,
allow_snapshot_backfill: bool,
) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
fn gen_optimized_stream_plan( self, emit_on_window_close: bool, allow_snapshot_backfill: bool, ) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
Generate optimized stream plan
fn gen_optimized_stream_plan_inner( self, emit_on_window_close: bool, stream_scan_type: StreamScanType, ) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
Sourcefn gen_stream_plan(
self,
emit_on_window_close: bool,
stream_scan_type: StreamScanType,
) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
fn gen_stream_plan( self, emit_on_window_close: bool, stream_scan_type: StreamScanType, ) -> Result<StreamOptimizedLogicalPlanRoot, RwError>
Generate create index or create materialize view plan.
Sourcefn compute_cardinality(&self) -> Cardinality
fn compute_cardinality(&self) -> Cardinality
Visit the plan root and compute the cardinality.
Panics if not called on a logical plan.
Sourcepub fn gen_table_plan(
self,
context: OptimizerContextRef,
table_name: String,
database_id: u32,
schema_id: u32,
_: CreateTableInfo,
_: CreateTableProps,
) -> Result<StreamMaterialize, RwError>
pub fn gen_table_plan( self, context: OptimizerContextRef, table_name: String, database_id: u32, schema_id: u32, _: CreateTableInfo, _: CreateTableProps, ) -> Result<StreamMaterialize, RwError>
Optimize and generate a create table plan.
Sourcepub fn gen_materialize_plan(
self,
database_id: u32,
schema_id: u32,
mv_name: String,
definition: String,
emit_on_window_close: bool,
) -> Result<StreamMaterialize, RwError>
pub fn gen_materialize_plan( self, database_id: u32, schema_id: u32, mv_name: String, definition: String, emit_on_window_close: bool, ) -> Result<StreamMaterialize, RwError>
Optimize and generate a create materialized view plan.
Sourcepub fn gen_index_plan(
self,
index_name: String,
database_id: u32,
schema_id: u32,
definition: String,
retention_seconds: Option<NonZeroU32>,
) -> Result<StreamMaterialize, RwError>
pub fn gen_index_plan( self, index_name: String, database_id: u32, schema_id: u32, definition: String, retention_seconds: Option<NonZeroU32>, ) -> Result<StreamMaterialize, RwError>
Optimize and generate a create index plan.
Sourcepub fn gen_sink_plan(
self,
sink_name: String,
definition: String,
properties: WithOptionsSecResolved,
emit_on_window_close: bool,
db_name: String,
sink_from_table_name: String,
format_desc: Option<SinkFormatDesc>,
without_backfill: bool,
target_table: Option<Arc<TableCatalog>>,
partition_info: Option<PartitionComputeInfo>,
user_specified_columns: bool,
) -> Result<StreamSink, RwError>
pub fn gen_sink_plan( self, sink_name: String, definition: String, properties: WithOptionsSecResolved, emit_on_window_close: bool, db_name: String, sink_from_table_name: String, format_desc: Option<SinkFormatDesc>, without_backfill: bool, target_table: Option<Arc<TableCatalog>>, partition_info: Option<PartitionComputeInfo>, user_specified_columns: bool, ) -> Result<StreamSink, RwError>
Optimize and generate a create sink plan.
Source§impl<P: PlanPhase> PlanRoot<P>
impl<P: PlanPhase> PlanRoot<P>
pub fn should_use_arrangement_backfill(&self) -> bool
pub fn should_use_snapshot_backfill(&self) -> bool
Sourcepub fn target_columns_to_plan_mapping(
&self,
tar_cols: &[ColumnCatalog],
user_specified_columns: bool,
) -> Vec<Option<usize>>
pub fn target_columns_to_plan_mapping( &self, tar_cols: &[ColumnCatalog], user_specified_columns: bool, ) -> Vec<Option<usize>>
used when the plan has a target relation such as DML and sink into table, return the mapping from table’s columns to the plan’s schema
Trait Implementations§
Auto Trait Implementations§
impl<P> Freeze for PlanRoot<P>
impl<P> !RefUnwindSafe for PlanRoot<P>
impl<P> !Send for PlanRoot<P>
impl<P> !Sync for PlanRoot<P>
impl<P> Unpin for PlanRoot<P>where
P: Unpin,
impl<P> !UnwindSafe for PlanRoot<P>
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