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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
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package net.hydromatic.optiq.impl.spark;

import net.hydromatic.linq4j.expressions.BlockBuilder;
import net.hydromatic.linq4j.expressions.BlockStatement;
import net.hydromatic.linq4j.expressions.Expression;
import net.hydromatic.linq4j.expressions.Expressions;

import net.hydromatic.optiq.impl.java.JavaTypeFactory;
import net.hydromatic.optiq.rules.java.*;

import org.eigenbase.rel.RelNode;
import org.eigenbase.rel.convert.ConverterRelImpl;
import org.eigenbase.relopt.*;

import java.util.List;

/**
 * Relational expression that converts input of
 * {@link net.hydromatic.optiq.impl.spark.SparkRel#CONVENTION Spark convention}
 * into {@link net.hydromatic.optiq.rules.java.EnumerableConvention}.
 *
 * 

Concretely, this means calling the * {@link org.apache.spark.api.java.JavaRDD#collect()} method of an RDD * and converting it to enumerable.

*/ public class SparkToEnumerableConverter extends ConverterRelImpl implements EnumerableRel { protected SparkToEnumerableConverter(RelOptCluster cluster, RelTraitSet traits, RelNode input) { super(cluster, ConventionTraitDef.INSTANCE, traits, input); } @Override public RelNode copy(RelTraitSet traitSet, List inputs) { return new SparkToEnumerableConverter( getCluster(), traitSet, sole(inputs)); } @Override public RelOptCost computeSelfCost(RelOptPlanner planner) { return super.computeSelfCost(planner).multiplyBy(.01); } public Result implement(EnumerableRelImplementor implementor, Prefer pref) { // Generate: // RDD rdd = ...; // return SparkRuntime.asEnumerable(rdd); final BlockBuilder list = new BlockBuilder(); final SparkRel child = (SparkRel) getChild(); final PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), getRowType(), JavaRowFormat.CUSTOM); SparkRel.Implementor sparkImplementor = new SparkImplementorImpl(implementor); final SparkRel.Result result = child.implementSpark(sparkImplementor); final Expression rdd = list.append("rdd", result.block); final Expression enumerable = list.append( "enumerable", Expressions.call( SparkMethod.AS_ENUMERABLE.method, rdd)); list.add( Expressions.return_(null, enumerable)); return implementor.result(physType, list.toBlock()); } /** Implementation of * {@link net.hydromatic.optiq.impl.spark.SparkRel.Implementor}. */ private static class SparkImplementorImpl extends SparkRel.Implementor { private final EnumerableRelImplementor implementor; public SparkImplementorImpl(EnumerableRelImplementor implementor) { super(implementor.getRexBuilder()); this.implementor = implementor; } public SparkRel.Result result(PhysType physType, BlockStatement blockStatement) { return new SparkRel.Result(physType, blockStatement); } SparkRel.Result visitInput(SparkRel parent, int ordinal, SparkRel input) { if (parent != null) { assert input == parent.getInputs().get(ordinal); } createFrame(parent, ordinal, input); return input.implementSpark(this); } public JavaTypeFactory getTypeFactory() { return implementor.getTypeFactory(); } } } // End SparkToEnumerableConverter.java




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