| /* |
| * 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.dataset |
| |
| import org.apache.calcite.plan._ |
| import org.apache.calcite.rel.RelNode |
| import org.apache.calcite.rel.`type`.RelDataType |
| import org.apache.calcite.rel.core.TableScan |
| import org.apache.calcite.rel.metadata.RelMetadataQuery |
| import org.apache.flink.api.java.DataSet |
| import org.apache.flink.table.api.{BatchQueryConfig, BatchTableEnvironment} |
| import org.apache.flink.table.plan.schema.{DataSetTable, RowSchema} |
| import org.apache.flink.types.Row |
| |
| /** |
| * Flink RelNode which matches along with DataSource. |
| * It ensures that types without deterministic field order (e.g. POJOs) are not part of |
| * the plan translation. |
| */ |
| class DataSetScan( |
| cluster: RelOptCluster, |
| traitSet: RelTraitSet, |
| table: RelOptTable, |
| rowRelDataType: RelDataType) |
| extends TableScan(cluster, traitSet, table) |
| with BatchScan { |
| |
| val dataSetTable: DataSetTable[Any] = getTable.unwrap(classOf[DataSetTable[Any]]) |
| |
| override def deriveRowType(): RelDataType = rowRelDataType |
| |
| override def computeSelfCost(planner: RelOptPlanner, metadata: RelMetadataQuery): RelOptCost = { |
| val rowCnt = metadata.getRowCount(this) |
| planner.getCostFactory.makeCost(rowCnt, rowCnt, 0) |
| } |
| |
| override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]): RelNode = { |
| new DataSetScan( |
| cluster, |
| traitSet, |
| getTable, |
| getRowType |
| ) |
| } |
| |
| override def translateToPlan( |
| tableEnv: BatchTableEnvironment, |
| queryConfig: BatchQueryConfig): DataSet[Row] = { |
| val schema = new RowSchema(rowRelDataType) |
| val inputDataSet: DataSet[Any] = dataSetTable.dataSet |
| val fieldIdxs = dataSetTable.fieldIndexes |
| val config = tableEnv.getConfig |
| convertToInternalRow(schema, inputDataSet, fieldIdxs, config, None) |
| } |
| |
| } |