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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.wayang.basic.operators;
import org.apache.commons.lang3.Validate;
import org.apache.wayang.basic.data.Record;
import org.apache.wayang.basic.function.ProjectionDescriptor;
import org.apache.wayang.basic.types.RecordType;
import org.apache.wayang.core.api.Configuration;
import org.apache.wayang.core.function.FunctionDescriptor;
import org.apache.wayang.core.function.TransformationDescriptor;
import org.apache.wayang.core.optimizer.cardinality.CardinalityEstimator;
import org.apache.wayang.core.optimizer.cardinality.DefaultCardinalityEstimator;
import org.apache.wayang.core.plan.wayangplan.UnaryToUnaryOperator;
import org.apache.wayang.core.types.DataSetType;
import java.util.Optional;
/**
* A map operator represents semantics as they are known from frameworks, such as Spark and Flink. It pulls each
* available element from the input slot, applies a function to it, and pushes that element to the output slot.
*/
public class MapOperator<InputType, OutputType> extends UnaryToUnaryOperator<InputType, OutputType> {
/**
* Function that this operator applies to the input elements.
*/
protected final TransformationDescriptor<InputType, OutputType> functionDescriptor;
/**
* Creates a new instance.
*/
public MapOperator(FunctionDescriptor.SerializableFunction<InputType, OutputType> function,
Class<InputType> inputTypeClass,
Class<OutputType> outputTypeClass) {
this(new TransformationDescriptor<>(function, inputTypeClass, outputTypeClass));
}
/**
* Creates a new instance.
*/
public MapOperator(TransformationDescriptor<InputType, OutputType> functionDescriptor) {
this(functionDescriptor,
DataSetType.createDefault(functionDescriptor.getInputType()),
DataSetType.createDefault(functionDescriptor.getOutputType()));
}
/**
* Creates a new instance.
*/
public MapOperator(TransformationDescriptor<InputType, OutputType> functionDescriptor, DataSetType<InputType> inputType, DataSetType<OutputType> outputType) {
super(inputType, outputType, true);
this.functionDescriptor = functionDescriptor;
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public MapOperator(MapOperator<InputType, OutputType> that) {
super(that);
this.functionDescriptor = that.getFunctionDescriptor();
}
/**
* Creates a new instance that projects the given fields.
*
* @param fieldNames the field names for the projected fields
* @return the new instance
*/
public static <Input, Output> MapOperator<Input, Output> createProjection(
Class<Input> inputClass,
Class<Output> outputClass,
String... fieldNames) {
return new MapOperator<>(new ProjectionDescriptor<>(inputClass, outputClass, fieldNames));
}
/**
* Creates a new instance that projects the given fields of {@link Record}s.
*
* @param fieldNames the field names for the projected fields
* @return the new instance
*/
public static MapOperator<Record, Record> createProjection(
RecordType inputType,
String... fieldNames) {
return new MapOperator<>(ProjectionDescriptor.createForRecords(inputType, fieldNames));
}
public TransformationDescriptor<InputType, OutputType> getFunctionDescriptor() {
return this.functionDescriptor;
}
@Override
public Optional<CardinalityEstimator> createCardinalityEstimator(
final int outputIndex,
final Configuration configuration) {
Validate.inclusiveBetween(0, this.getNumOutputs() - 1, outputIndex);
return Optional.of(new DefaultCardinalityEstimator(1d, 1, this.isSupportingBroadcastInputs(),
inputCards -> inputCards[0]));
}
}