org.apache.flink.table.planner.plan.nodes.calcite.LogicalLegacySink.scala Maven / Gradle / Ivy
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This module bridges Table/SQL API and runtime. It contains
all resources that are required during pre-flight and runtime
phase. The content of this module is work-in-progress. It will
replace flink-table-planner once it is stable. See FLINK-11439
and FLIP-32 for more details.
/*
* 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.calcite
import org.apache.flink.table.catalog.CatalogTable
import org.apache.flink.table.sinks.TableSink
import org.apache.calcite.plan.{Convention, RelOptCluster, RelTraitSet}
import org.apache.calcite.rel.RelNode
import java.util
import scala.collection.JavaConversions._
/**
* Sub-class of [[LegacySink]] that is a relational expression
* which writes out data of input node into a [[TableSink]].
* This class corresponds to Calcite logical rel.
*/
final class LogicalLegacySink(
cluster: RelOptCluster,
traitSet: RelTraitSet,
input: RelNode,
sink: TableSink[_],
sinkName: String,
val catalogTable: CatalogTable,
val staticPartitions: Map[String, String])
extends LegacySink(cluster, traitSet, input, sink, sinkName) {
override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = {
new LogicalLegacySink(
cluster, traitSet, inputs.head, sink, sinkName, catalogTable, staticPartitions)
}
}
object LogicalLegacySink {
def create(input: RelNode,
sink: TableSink[_],
sinkName: String,
catalogTable: CatalogTable = null,
staticPartitions: Map[String, String] = Map()): LogicalLegacySink = {
val traits = input.getCluster.traitSetOf(Convention.NONE)
new LogicalLegacySink(
input.getCluster, traits, input, sink, sinkName, catalogTable, staticPartitions)
}
}