/*
 * 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;

import org.apache.beam.sdk.options.ApplicationNameOptions;
import org.apache.beam.sdk.options.Default;
import org.apache.beam.sdk.options.DefaultValueFactory;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.StreamingOptions;



/**
 * Spark runner {@link PipelineOptions} handles Spark execution-related configurations,
 * such as the master address, batch-interval, and other user-related knobs.
 */
public interface SparkPipelineOptions
    extends PipelineOptions, StreamingOptions, ApplicationNameOptions {

  @Description("The url of the spark master to connect to, (e.g. spark://host:port, local[4]).")
  @Default.String("local[4]")
  String getSparkMaster();
  void setSparkMaster(String master);

  @Description("Batch interval for Spark streaming in milliseconds.")
  @Default.Long(500)
  Long getBatchIntervalMillis();
  void setBatchIntervalMillis(Long batchInterval);

  @Description("Batch default storage level")
  @Default.String("MEMORY_ONLY")
  String getStorageLevel();
  void setStorageLevel(String storageLevel);

  @Description("Minimum time to spend on read, for each micro-batch.")
  @Default.Long(200)
  Long getMinReadTimeMillis();
  void setMinReadTimeMillis(Long minReadTimeMillis);

  @Description("Max records per micro-batch. For streaming sources only.")
  @Default.Long(-1)
  Long getMaxRecordsPerBatch();
  void setMaxRecordsPerBatch(Long maxRecordsPerBatch);

  @Description("A value between 0-1 to describe the percentage of a micro-batch dedicated "
      + "to reading from UnboundedSource.")
  @Default.Double(0.1)
  Double getReadTimePercentage();
  void setReadTimePercentage(Double readTimePercentage);

  @Description("A checkpoint directory for streaming resilience, ignored in batch. "
      + "For durability, a reliable filesystem such as HDFS/S3/GS is necessary.")
  @Default.InstanceFactory(TmpCheckpointDirFactory.class)
  String getCheckpointDir();
  void setCheckpointDir(String checkpointDir);

  /**
   * Returns the default checkpoint directory of /tmp/${job.name}.
   * For testing purposes only. Production applications should use a reliable
   * filesystem such as HDFS/S3/GS.
   */
  class TmpCheckpointDirFactory implements DefaultValueFactory<String> {
    @Override
    public String create(PipelineOptions options) {
      return "/tmp/" + options.as(SparkPipelineOptions.class).getJobName();
    }
  }

  @Description("The period to checkpoint (in Millis). If not set, Spark will default "
      + "to Max(slideDuration, Seconds(10)). This PipelineOptions default (-1) will end-up "
          + "with the described Spark default.")
  @Default.Long(-1)
  Long getCheckpointDurationMillis();
  void setCheckpointDurationMillis(Long durationMillis);

  @Description("Enable/disable sending aggregator values to Spark's metric sinks")
  @Default.Boolean(true)
  Boolean getEnableSparkMetricSinks();
  void setEnableSparkMetricSinks(Boolean enableSparkMetricSinks);

  @Description("If the spark runner will be initialized with a provided Spark Context. "
      + "The Spark Context should be provided with SparkContextOptions.")
  @Default.Boolean(false)
  boolean getUsesProvidedSparkContext();
  void setUsesProvidedSparkContext(boolean value);

}