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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.flink.api.java;

import java.util.Arrays;

import org.apache.commons.lang3.Validate;
import org.apache.flink.api.common.InvalidProgramException;
import org.apache.flink.api.common.aggregators.Aggregator;
import org.apache.flink.api.common.aggregators.AggregatorRegistry;
import org.apache.flink.api.java.operators.Keys;
import org.apache.flink.types.TypeInformation;

/**
 * The DeltaIteration represents the start of a delta iteration. It is created from the DataSet that
 * represents the initial solution set via the {@link DataSet#iterateDelta(DataSet, int, int...)} method.
 * 
 * @param  The data type of the solution set.
 * @param  The data type of the workset (the feedback data set).
 *
 * @see DataSet#iterateDelta(DataSet, int, int...)
 * @see DataSet#iterateDelta(DataSet, int, int[])
 */
public class DeltaIteration {
	
	private final AggregatorRegistry aggregators = new AggregatorRegistry();
	
	private final DataSet initialSolutionSet;
	private final DataSet initialWorkset;
	
	private final SolutionSetPlaceHolder solutionSetPlaceholder;
	private final WorksetPlaceHolder worksetPlaceholder;

	private final Keys keys;
	
	private final int maxIterations;
	
	private String name;
	
	private int parallelism = -1;
	

	DeltaIteration(ExecutionEnvironment context, TypeInformation type, DataSet solutionSet, DataSet workset, Keys keys, int maxIterations) {
		initialSolutionSet = solutionSet;
		initialWorkset = workset;
		solutionSetPlaceholder = new SolutionSetPlaceHolder(context, solutionSet.getType(), this);
		worksetPlaceholder = new WorksetPlaceHolder(context, workset.getType());
		this.keys = keys;
		this.maxIterations = maxIterations;
	}

	// --------------------------------------------------------------------------------------------
	
	/**
	 * Closes the delta iteration. This method defines the end of the delta iteration's function.
	 * 
	 * @param solutionSetDelta The delta for the solution set. The delta will be merged into the solution set at the end of
	 *                         each iteration.
	 * @param newWorkset The new workset (feedback data set) that will be fed back to the next iteration.
	 * @return The DataSet that represents the result of the iteration, after the computation has terminated.
	 * 
	 * @see DataSet#iterateDelta(DataSet, int, int...)
	 */
	public DataSet closeWith(DataSet solutionSetDelta, DataSet newWorkset) {
		return new DeltaIterationResultSet(initialSolutionSet.getExecutionEnvironment(),
				initialSolutionSet.getType(), initialWorkset.getType(), this, solutionSetDelta, newWorkset, keys, maxIterations);
	}

	/**
	 * Gets the initial solution set. This is the data set on which the delta iteration was started.
	 * 

* Consider the following example: *

	 * {@code
	 * DataSet solutionSetData = ...;
	 * DataSet worksetData = ...;
	 * 
	 * DeltaIteration iteration = solutionSetData.iteratorDelta(worksetData, 10, ...);
	 * }
	 * 
* The solutionSetData would be the data set returned by {@code iteration.getInitialSolutionSet();}. * * @return The data set that forms the initial solution set. */ public DataSet getInitialSolutionSet() { return initialSolutionSet; } /** * Gets the initial workset. This is the data set passed to the method that starts the delta * iteration. *

* Consider the following example: *

	 * {@code
	 * DataSet solutionSetData = ...;
	 * DataSet worksetData = ...;
	 * 
	 * DeltaIteration iteration = solutionSetData.iteratorDelta(worksetData, 10, ...);
	 * }
	 * 
* The worksetData would be the data set returned by {@code iteration.getInitialWorkset();}. * * @return The data set that forms the initial workset. */ public DataSet getInitialWorkset() { return initialWorkset; } /** * Gets the solution set of the delta iteration. The solution set represents the state that is kept across iterations. * * @return The solution set of the delta iteration. */ public SolutionSetPlaceHolder getSolutionSet() { return solutionSetPlaceholder; } /** * Gets the working set of the delta iteration. The working set is constructed by the previous iteration. * * @return The working set of the delta iteration. */ public WorksetPlaceHolder getWorkset() { return worksetPlaceholder; } /** * Sets the name for the iteration. The name is displayed in logs and messages. * * @param name The name for the iteration. * @return The iteration object, for function call chaining. */ public DeltaIteration name(String name) { this.name = name; return this; } /** * Gets the name from this iteration. * * @return The name of the iteration. */ public String getName() { return name; } /** * Sets the degree of parallelism for the iteration. * * @param parallelism The degree of parallelism. * @return The iteration object, for function call chaining. */ public DeltaIteration parallelism(int parallelism) { Validate.isTrue(parallelism > 0 || parallelism == -1, "The degree of parallelism must be positive, or -1 (use default)."); this.parallelism = parallelism; return this; } /** * Gets the iteration's degree of parallelism. * * @return The iterations parallelism, or -1, if not set. */ public int getParallelism() { return parallelism; } /** * Registers an {@link Aggregator} for the iteration. Aggregators can be used to maintain simple statistics during the * iteration, such as number of elements processed. The aggregators compute global aggregates: After each iteration step, * the values are globally aggregated to produce one aggregate that represents statistics across all parallel instances. * The value of an aggregator can be accessed in the next iteration. *

* Aggregators can be accessed inside a function via the * {@link org.apache.flink.api.common.functions.AbstractRichFunction#getIterationRuntimeContext()} method. * * @param name The name under which the aggregator is registered. * @param aggregator The aggregator class. * * @return The DeltaIteration itself, to allow chaining function calls. */ public DeltaIteration registerAggregator(String name, Aggregator aggregator) { this.aggregators.registerAggregator(name, aggregator); return this; } /** * Gets the registry for aggregators for the iteration. * * @return The registry with all aggregators. */ public AggregatorRegistry getAggregators() { return this.aggregators; } /** * A {@link DataSet} that acts as a placeholder for the solution set during the iteration. * * @param The type of the elements in the solution set. */ public static class SolutionSetPlaceHolder extends DataSet{ private final DeltaIteration deltaIteration; private SolutionSetPlaceHolder(ExecutionEnvironment context, TypeInformation type, DeltaIteration deltaIteration) { super(context, type); this.deltaIteration = deltaIteration; } public void checkJoinKeyFields(int[] keyFields) { int[] ssKeys = deltaIteration.keys.computeLogicalKeyPositions(); if (!Arrays.equals(ssKeys, keyFields)) { throw new InvalidProgramException("The solution can only be joined/co-grouped with the same keys as the elements are identified with (here: " + Arrays.toString(ssKeys) + ")."); } } } /** * A {@link DataSet} that acts as a placeholder for the workset during the iteration. * * @param The data type of the elements in the workset. */ public static class WorksetPlaceHolder extends DataSet{ private WorksetPlaceHolder(ExecutionEnvironment context, TypeInformation type) { super(context, type); } } }





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