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/*
 * 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.calcite.adapter.csv;

import org.apache.calcite.adapter.enumerable.EnumerableConvention;
import org.apache.calcite.adapter.enumerable.EnumerableRel;
import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor;
import org.apache.calcite.adapter.enumerable.PhysType;
import org.apache.calcite.adapter.enumerable.PhysTypeImpl;
import org.apache.calcite.linq4j.tree.Blocks;
import org.apache.calcite.linq4j.tree.Expressions;
import org.apache.calcite.linq4j.tree.Primitive;
import org.apache.calcite.plan.RelOptCluster;
import org.apache.calcite.plan.RelOptCost;
import org.apache.calcite.plan.RelOptPlanner;
import org.apache.calcite.plan.RelOptTable;
import org.apache.calcite.plan.RelTraitSet;
import org.apache.calcite.rel.RelNode;
import org.apache.calcite.rel.RelWriter;
import org.apache.calcite.rel.core.TableScan;
import org.apache.calcite.rel.metadata.RelMetadataQuery;
import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rel.type.RelDataTypeFactory;
import org.apache.calcite.rel.type.RelDataTypeField;

import java.util.List;

/**
 * Relational expression representing a scan of a CSV file.
 *
 * 

Like any table scan, it serves as a leaf node of a query tree.

*/ public class CsvTableScan extends TableScan implements EnumerableRel { final CsvTranslatableTable csvTable; final int[] fields; protected CsvTableScan(RelOptCluster cluster, RelOptTable table, CsvTranslatableTable csvTable, int[] fields) { super(cluster, cluster.traitSetOf(EnumerableConvention.INSTANCE), table); this.csvTable = csvTable; this.fields = fields; assert csvTable != null; } @Override public RelNode copy(RelTraitSet traitSet, List inputs) { assert inputs.isEmpty(); return new CsvTableScan(getCluster(), table, csvTable, fields); } @Override public RelWriter explainTerms(RelWriter pw) { return super.explainTerms(pw) .item("fields", Primitive.asList(fields)); } @Override public RelDataType deriveRowType() { final List fieldList = table.getRowType().getFieldList(); final RelDataTypeFactory.Builder builder = getCluster().getTypeFactory().builder(); for (int field : fields) { builder.add(fieldList.get(field)); } return builder.build(); } @Override public void register(RelOptPlanner planner) { planner.addRule(CsvProjectTableScanRule.INSTANCE); } @Override public RelOptCost computeSelfCost(RelOptPlanner planner, RelMetadataQuery mq) { // Multiply the cost by a factor that makes a scan more attractive if it // has significantly fewer fields than the original scan. // // The "+ 2D" on top and bottom keeps the function fairly smooth. // // For example, if table has 3 fields, project has 1 field, // then factor = (1 + 2) / (3 + 2) = 0.6 return super.computeSelfCost(planner, mq) .multiplyBy(((double) fields.length + 2D) / ((double) table.getRowType().getFieldCount() + 2D)); } public Result implement(EnumerableRelImplementor implementor, Prefer pref) { PhysType physType = PhysTypeImpl.of( implementor.getTypeFactory(), getRowType(), pref.preferArray()); if (table instanceof JsonTable) { return implementor.result( physType, Blocks.toBlock( Expressions.call(table.getExpression(JsonTable.class), "enumerable"))); } return implementor.result( physType, Blocks.toBlock( Expressions.call(table.getExpression(CsvTranslatableTable.class), "project", implementor.getRootExpression(), Expressions.constant(fields)))); } } // End CsvTableScan.java




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