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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.hudi.common.engine;

import org.apache.hudi.common.data.HoodieAccumulator;
import org.apache.hudi.common.data.HoodieData;
import org.apache.hudi.common.data.HoodieData.HoodieDataCacheKey;
import org.apache.hudi.common.function.SerializableBiFunction;
import org.apache.hudi.common.function.SerializableConsumer;
import org.apache.hudi.common.function.SerializableFunction;
import org.apache.hudi.common.function.SerializablePairFlatMapFunction;
import org.apache.hudi.common.function.SerializablePairFunction;
import org.apache.hudi.common.util.Functions;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.common.util.collection.ImmutablePair;
import org.apache.hudi.common.util.collection.Pair;
import org.apache.hudi.storage.StorageConfiguration;

import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.stream.Stream;

/**
 * Base class contains the context information needed by the engine at runtime. It will be extended by different
 * engine implementation if needed.
 */
public abstract class HoodieEngineContext {

  /**
   * A wrapped hadoop configuration which can be serialized.
   */
  private StorageConfiguration storageConf;

  protected TaskContextSupplier taskContextSupplier;

  public HoodieEngineContext(StorageConfiguration storageConf, TaskContextSupplier taskContextSupplier) {
    this.storageConf = storageConf;
    this.taskContextSupplier = taskContextSupplier;
  }

  public StorageConfiguration getStorageConf() {
    return storageConf;
  }

  public TaskContextSupplier getTaskContextSupplier() {
    return taskContextSupplier;
  }

  public abstract HoodieAccumulator newAccumulator();

  public abstract  HoodieData emptyHoodieData();

  public  HoodieData parallelize(List data) {
    if (data.isEmpty()) {
      return emptyHoodieData();
    } else {
      return parallelize(data, data.size());
    }
  }

  public abstract  HoodieData parallelize(List data, int parallelism);

  public abstract  List map(List data, SerializableFunction func, int parallelism);

  public abstract  List mapToPairAndReduceByKey(
      List data, SerializablePairFunction mapToPairFunc, SerializableBiFunction reduceFunc, int parallelism);

  public abstract  Stream> mapPartitionsToPairAndReduceByKey(
      Stream data, SerializablePairFlatMapFunction, K, V> flatMapToPairFunc,
      SerializableBiFunction reduceFunc, int parallelism);

  public abstract  List reduceByKey(
      List> data, SerializableBiFunction reduceFunc, int parallelism);

  public abstract  List flatMap(List data, SerializableFunction> func, int parallelism);

  public abstract  void foreach(List data, SerializableConsumer consumer, int parallelism);

  public abstract  Map mapToPair(List data, SerializablePairFunction func, Integer parallelism);

  public abstract void setProperty(EngineProperty key, String value);

  public abstract Option getProperty(EngineProperty key);

  public abstract void setJobStatus(String activeModule, String activityDescription);

  public abstract void putCachedDataIds(HoodieDataCacheKey cacheKey, int... ids);

  public abstract List getCachedDataIds(HoodieDataCacheKey cacheKey);

  public abstract List removeCachedDataIds(HoodieDataCacheKey cacheKey);

  public abstract void cancelJob(String jobId);

  public abstract void cancelAllJobs();

  /**
   * Aggregate the elements of each partition, and then the results for all the partitions, using given combine functions and a neutral "zero value".
   *
   * @param data
   * @param zeroValue the initial value for the accumulated result of each partition for the seqOp operator
   * @param seqOp     function to aggregate the elements of each partition
   * @param combOp    function to combine results from different partitions
   * @param        input object type
   * @param        output object type
   * @return the result of the aggregation
   */
  public abstract  O aggregate(HoodieData data, O zeroValue, Functions.Function2 seqOp, Functions.Function2 combOp);
}