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/*
 * Copyright (c) 2008-2019, Hazelcast, Inc. All Rights Reserved.
 *
 * Licensed 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 com.hazelcast.mapreduce;

import java.util.List;
import java.util.Map;

/**
 * 
 * This interface describes a reducing mapreduce Job.

 * For further information {@link Job}.
 * 
 *
 * @param  type of the original input key
 * @param     type of key used as input key type
 * @param   type of value used as input value type
 * @see com.hazelcast.mapreduce.Job
 * @since 3.2
 * @deprecated MapReduce is deprecated and will be removed in 4.0.
 * For map aggregations, you can use {@link com.hazelcast.aggregation.Aggregator} on IMap.
 * For general data processing, it is superseded by Hazelcast Jet.
 */
@Deprecated
public interface ReducingJob {

    /**
     * Defines keys to execute the mapper and a possibly defined reducer against. If keys are known before submitting
     * the task setting them can improve execution speed.
     *
     * @param keys keys to be executed against
     * @return instance of this Job with generics changed on usage
     */
    ReducingJob onKeys(Iterable keys);

    /**
     * Defines keys to execute the mapper and a possibly defined reducer against. If keys are known before submitting
     * the task setting them can improve execution speed.
     *
     * @param keys keys to be executed against
     * @return instance of this Job with generics changed on usage
     */
    ReducingJob onKeys(EntryKey... keys);

    /**
     * Defines the {@link KeyPredicate} implementation to preselect keys the MapReduce task will be executed on.
     * Preselecting keys can speed up the job massively.

     * This method can be used in conjunction with {@link #onKeys(Iterable)} or {@link #onKeys(Object...)} to define a
     * range of known and evaluated keys.
     *
     * @param predicate predicate implementation to be used to evaluate keys
     * @return instance of this Job with generics changed on usage
     */
    ReducingJob keyPredicate(KeyPredicate predicate);

    /**
     * Defines the number of elements per chunk. Whenever the chunk size is reached and a
     * {@link com.hazelcast.mapreduce.ReducerFactory} is defined the chunk will be send to the nodes that
     * is responsible for the emitted keys.

     * Please note, that chunks are deactivated when no ReducerFactory is defined
     *
     * @param chunkSize the number of elements per chunk
     * @return instance of this Job with generics changed on usage
     */
    ReducingJob chunkSize(int chunkSize);

    /**
     * Defines the strategy to handle topology changes while executing the map reduce job. For further
     * information see {@link com.hazelcast.mapreduce.TopologyChangedStrategy}.
     *
     * @param topologyChangedStrategy strategy to use
     * @return instance of this Job with generics changed on usage
     */
    ReducingJob topologyChangedStrategy(TopologyChangedStrategy topologyChangedStrategy);

    /**
     * Defines the {@link ReducerFactory} for this task. This method is not idempotent and is callable only one time. Further
     * calls result in an {@link IllegalStateException} to be thrown telling you to not change the internal state.
     *
     * @param reducerFactory ReducerFactory to build Reducers
     * @param      type of the reduced value
     * @return instance of this Job with generics changed on usage
     */
     ReducingSubmittableJob reducer(ReducerFactory reducerFactory);

    /**
     * Submits the task to Hazelcast and executes the defined mapper and reducer on all cluster nodes
     *
     * @return JobCompletableFuture to wait for mapped and possibly reduced result
     */
    JobCompletableFuture>> submit();

    /**
     * Submits the task to Hazelcast and executes the defined mapper and reducer on all cluster nodes and executes the
     * collator before returning the final result.
     *
     * @param collator   collator to use after map and reduce
     * @param  type of the collated value
     * @return JobCompletableFuture to wait for mapped and possibly reduced result
     */
     JobCompletableFuture submit(Collator>, ValueOut> collator);

}