| /* |
| * 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.plan.nodes.logical |
| |
| import org.apache.flink.table.plan.metadata.FlinkRelMetadataQuery |
| import org.apache.flink.table.plan.nodes.FlinkConventions |
| import org.apache.flink.table.plan.schema.DataStreamTable |
| |
| import com.google.common.collect.ImmutableList |
| import org.apache.calcite.plan._ |
| import org.apache.calcite.rel.convert.ConverterRule |
| import org.apache.calcite.rel.core.TableScan |
| import org.apache.calcite.rel.logical.LogicalTableScan |
| import org.apache.calcite.rel.metadata.RelMetadataQuery |
| import org.apache.calcite.rel.{RelCollation, RelCollationTraitDef, RelNode} |
| import org.apache.calcite.schema.Table |
| |
| import java.util |
| import java.util.function.Supplier |
| |
| class FlinkLogicalNativeTableScan ( |
| cluster: RelOptCluster, |
| traitSet: RelTraitSet, |
| table: RelOptTable) |
| extends TableScan(cluster, traitSet, table) |
| with FlinkLogicalRel { |
| |
| override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = { |
| new FlinkLogicalNativeTableScan(cluster, traitSet, getTable) |
| } |
| |
| override def computeSelfCost(planner: RelOptPlanner, mq: RelMetadataQuery): RelOptCost = { |
| val rowCnt = mq.getRowCount(this) |
| val rowSize = mq.getAverageRowSize(this) |
| planner.getCostFactory.makeCost(rowCnt, rowCnt, rowCnt * rowSize) |
| } |
| |
| override def isDeterministic: Boolean = true |
| } |
| |
| class FlinkLogicalNativeTableScanConverter |
| extends ConverterRule( |
| classOf[LogicalTableScan], |
| Convention.NONE, |
| FlinkConventions.LOGICAL, |
| "FlinkLogicalNativeTableScanConverter") { |
| |
| override def matches(call: RelOptRuleCall): Boolean = { |
| val scan = call.rel[TableScan](0) |
| FlinkLogicalNativeTableScan.isLogicalNativeTableScan(scan) |
| } |
| |
| def convert(rel: RelNode): RelNode = { |
| val scan = rel.asInstanceOf[TableScan] |
| FlinkLogicalNativeTableScan.create(rel.getCluster, scan.getTable) |
| } |
| } |
| |
| object FlinkLogicalNativeTableScan { |
| val CONVERTER = new FlinkLogicalNativeTableScanConverter |
| |
| def isLogicalNativeTableScan(scan: TableScan): Boolean = { |
| val dataStreamTable = scan.getTable.unwrap(classOf[DataStreamTable[_]]) |
| dataStreamTable != null |
| } |
| |
| def create(cluster: RelOptCluster, relOptTable: RelOptTable): FlinkLogicalNativeTableScan = { |
| val table = relOptTable.unwrap(classOf[Table]) |
| val traitSet = cluster.traitSetOf(Convention.NONE).replaceIfs( |
| RelCollationTraitDef.INSTANCE, new Supplier[util.List[RelCollation]]() { |
| def get: util.List[RelCollation] = { |
| if (table != null) { |
| table.getStatistic.getCollations |
| } else { |
| ImmutableList.of[RelCollation] |
| } |
| } |
| }) |
| // FIXME: FlinkRelMdDistribution requires the current RelNode to compute |
| // the distribution trait, so we have to create FlinkLogicalNativeTableScan to |
| // calculate the distribution trait |
| val scan = new FlinkLogicalNativeTableScan(cluster, traitSet, relOptTable) |
| val newTraitSet = FlinkRelMetadataQuery.traitSet(scan) |
| .replace(FlinkConventions.LOGICAL).simplify() |
| scan.copy(newTraitSet, scan.getInputs).asInstanceOf[FlinkLogicalNativeTableScan] |
| } |
| } |