org.apache.flink.table.planner.plan.nodes.physical.stream.StreamPhysicalCorrelate.scala Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.flink.table.planner.plan.nodes.physical.stream
import org.apache.flink.table.planner.calcite.FlinkTypeFactory
import org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecCorrelate
import org.apache.flink.table.planner.plan.nodes.exec.{InputProperty, ExecNode}
import org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableFunctionScan
import org.apache.flink.table.planner.plan.utils.JoinTypeUtil
import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.JoinRelType
import org.apache.calcite.rex.{RexCall, RexNode}
/**
* Flink RelNode which matches along with join a Java/Scala user defined table function.
*/
class StreamPhysicalCorrelate(
cluster: RelOptCluster,
traitSet: RelTraitSet,
inputRel: RelNode,
scan: FlinkLogicalTableFunctionScan,
condition: Option[RexNode],
outputRowType: RelDataType,
joinType: JoinRelType)
extends StreamPhysicalCorrelateBase(
cluster,
traitSet,
inputRel,
scan,
condition,
outputRowType,
joinType) {
def copy(
traitSet: RelTraitSet,
newChild: RelNode,
outputType: RelDataType): RelNode = {
new StreamPhysicalCorrelate(
cluster,
traitSet,
newChild,
scan,
condition,
outputType,
joinType)
}
override def translateToExecNode(): ExecNode[_] = {
new StreamExecCorrelate(
JoinTypeUtil.getFlinkJoinType(joinType),
scan.getCall.asInstanceOf[RexCall],
condition.orNull,
InputProperty.DEFAULT,
FlinkTypeFactory.toLogicalRowType(getRowType),
getRelDetailedDescription)
}
}