content: /*
   * 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.beam.runners.spark.translation;
  
  import java.util.HashMap;
  import java.util.LinkedHashMap;
  import java.util.LinkedHashSet;
  import java.util.Map;
  import java.util.Set;
  import org.apache.beam.runners.core.construction.SerializablePipelineOptions;
  import org.apache.beam.runners.fnexecution.provisioning.JobInfo;
  import org.apache.beam.runners.spark.SparkPipelineOptions;
  import org.apache.beam.sdk.coders.Coder;
  import org.apache.beam.sdk.options.PipelineOptions;
  import org.apache.spark.api.java.JavaSparkContext;
  import org.checkerframework.checker.nullness.qual.Nullable;
  
  /**
   * Translation context used to lazily store Spark data sets during portable pipeline translation and
   * compute them after translation.
   */
  @SuppressWarnings({
    "rawtypes", // TODO(https://github.com/apache/beam/issues/20447)
    "nullness" // TODO(https://github.com/apache/beam/issues/20497)
  })
  public class SparkTranslationContext {
    private final JavaSparkContext jsc;
    final JobInfo jobInfo;
    // Map pCollection IDs to the number of times they are consumed as inputs.
    private final Map<String, Integer> consumptionCount = new HashMap<>();
    private final Map<String, Coder> coderMap = new HashMap<>();
    private final Map<String, Dataset> datasets = new LinkedHashMap<>();
    private final Set<Dataset> leaves = new LinkedHashSet<>();
    final SerializablePipelineOptions serializablePipelineOptions;
    private int sinkId = 0;
  
    public SparkTranslationContext(JavaSparkContext jsc, PipelineOptions options, JobInfo jobInfo) {
      this.jsc = jsc;
      this.serializablePipelineOptions = new SerializablePipelineOptions(options);
      this.jobInfo = jobInfo;
    }
  
    public JavaSparkContext getSparkContext() {
      return jsc;
    }
  
    public SerializablePipelineOptions getSerializableOptions() {
      return serializablePipelineOptions;
    }
  
    /** Add output of transform to context. */
    public void pushDataset(String pCollectionId, Dataset dataset) {
      dataset.setName(pCollectionId);
      SparkPipelineOptions sparkOptions =
          serializablePipelineOptions.get().as(SparkPipelineOptions.class);
      if (!sparkOptions.isCacheDisabled() && consumptionCount.getOrDefault(pCollectionId, 0) > 1) {
        String storageLevel = sparkOptions.getStorageLevel();
        @Nullable Coder coder = coderMap.get(pCollectionId);
        dataset.cache(storageLevel, coder);
      }
      datasets.put(pCollectionId, dataset);
      leaves.add(dataset);
    }
  
    /** Retrieve the dataset for the pCollection id and remove it from the DAG's leaves. */
    public Dataset popDataset(String pCollectionId) {
      Dataset dataset = datasets.get(pCollectionId);
      leaves.remove(dataset);
      return dataset;
    }
  
    /** Compute the outputs for all RDDs that are leaves in the DAG. */
    public void computeOutputs() {
      for (Dataset dataset : leaves) {
        dataset.action(); // force computation.
      }
    }
  
    void incrementConsumptionCountBy(String pCollectionId, int addend) {
      int count = consumptionCount.getOrDefault(pCollectionId, 0);
      consumptionCount.put(pCollectionId, count + addend);
    }
  
    void putCoder(String pCollectionId, Coder coder) {
      coderMap.put(pCollectionId, coder);
    }
  
    /** Generate a unique pCollection id number to identify runner-generated sinks. */
    public int nextSinkId() {
      return sinkId++;
    }
  }
  