org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalLegacyTableSourceScan.scala Maven / Gradle / Ivy
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package org.apache.flink.table.planner.plan.nodes.physical.batch
import org.apache.flink.table.planner.calcite.FlinkTypeFactory
import org.apache.flink.table.planner.plan.nodes.exec.ExecNode
import org.apache.flink.table.planner.plan.nodes.exec.batch.BatchExecLegacyTableSourceScan
import org.apache.flink.table.planner.plan.nodes.physical.common.CommonPhysicalLegacyTableSourceScan
import org.apache.flink.table.planner.plan.schema.LegacyTableSourceTable
import org.apache.flink.table.sources.StreamTableSource
import org.apache.calcite.plan._
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.hint.RelHint
import org.apache.calcite.rel.metadata.RelMetadataQuery
import java.util
/**
* Batch physical RelNode to read data from an external source defined by a
* bounded [[StreamTableSource]].
*/
class BatchPhysicalLegacyTableSourceScan(
cluster: RelOptCluster,
traitSet: RelTraitSet,
hints: util.List[RelHint],
tableSourceTable: LegacyTableSourceTable[_])
extends CommonPhysicalLegacyTableSourceScan(cluster, traitSet, hints, tableSourceTable)
with BatchPhysicalRel {
override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = {
new BatchPhysicalLegacyTableSourceScan(cluster, traitSet, getHints, tableSourceTable)
}
override def computeSelfCost(planner: RelOptPlanner, mq: RelMetadataQuery): RelOptCost = {
val rowCnt = mq.getRowCount(this)
if (rowCnt == null) {
return null
}
val cpu = 0
val rowSize = mq.getAverageRowSize(this)
val size = rowCnt * rowSize
planner.getCostFactory.makeCost(rowCnt, cpu, size)
}
override def translateToExecNode(): ExecNode[_] = {
new BatchExecLegacyTableSourceScan(
tableSource,
getTable.getQualifiedName,
FlinkTypeFactory.toLogicalRowType(getRowType),
getRelDetailedDescription)
}
}