/*
 * 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.examples.spark;

import org.apache.hudi.client.SparkRDDWriteClient;
import org.apache.hudi.client.WriteStatus;
import org.apache.hudi.client.common.HoodieSparkEngineContext;
import org.apache.hudi.common.fs.FSUtils;
import org.apache.hudi.common.model.HoodieAvroPayload;
import org.apache.hudi.common.model.HoodieKey;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.model.HoodieTableType;
import org.apache.hudi.common.table.HoodieTableMetaClient;
import org.apache.hudi.common.table.timeline.HoodieTimeline;
import org.apache.hudi.common.util.Option;
import org.apache.hudi.config.HoodieCompactionConfig;
import org.apache.hudi.config.HoodieIndexConfig;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.examples.common.HoodieExampleDataGenerator;
import org.apache.hudi.examples.common.HoodieExampleSparkUtils;
import org.apache.hudi.index.HoodieIndex;

import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;

import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * Simple examples of #{@link SparkRDDWriteClient}.
 *
 * To run this example, you should
 * <pre>
 *   1. For running in IDE, set VM options `-Dspark.master=local[2]`;
 *   2. For running in shell, using `spark-submit`.
 *</pre>
 *
 * Usage: HoodieWriteClientExample <tablePath> <tableName>
 * <tablePath> and <tableName> describe root path of hudi and table name
 * for example, `HoodieWriteClientExample file:///tmp/hoodie/sample-table hoodie_rt`
 */
public class HoodieWriteClientExample {

  private static final Logger LOG = LogManager.getLogger(HoodieWriteClientExample.class);

  private static String tableType = HoodieTableType.COPY_ON_WRITE.name();

  public static void main(String[] args) throws Exception {
    if (args.length < 2) {
      System.err.println("Usage: HoodieWriteClientExample <tablePath> <tableName>");
      System.exit(1);
    }
    String tablePath = args[0];
    String tableName = args[1];
    SparkConf sparkConf = HoodieExampleSparkUtils.defaultSparkConf("hoodie-client-example");

    try (JavaSparkContext jsc = new JavaSparkContext(sparkConf)) {

      // Generator of some records to be loaded in.
      HoodieExampleDataGenerator<HoodieAvroPayload> dataGen = new HoodieExampleDataGenerator<>();

      // initialize the table, if not done already
      Path path = new Path(tablePath);
      FileSystem fs = FSUtils.getFs(tablePath, jsc.hadoopConfiguration());
      if (!fs.exists(path)) {
        HoodieTableMetaClient.withPropertyBuilder()
          .setTableType(tableType)
          .setTableName(tableName)
          .setPayloadClass(HoodieAvroPayload.class)
          .initTable(jsc.hadoopConfiguration(), tablePath);
      }

      // Create the write client to write some records in
      HoodieWriteConfig cfg = HoodieWriteConfig.newBuilder().withPath(tablePath)
              .withSchema(HoodieExampleDataGenerator.TRIP_EXAMPLE_SCHEMA).withParallelism(2, 2)
              .withDeleteParallelism(2).forTable(tableName)
              .withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(HoodieIndex.IndexType.BLOOM).build())
              .withCompactionConfig(HoodieCompactionConfig.newBuilder().archiveCommitsWith(20, 30).build()).build();
      SparkRDDWriteClient<HoodieAvroPayload> client = new SparkRDDWriteClient<>(new HoodieSparkEngineContext(jsc), cfg);

      // inserts
      String newCommitTime = client.startCommit();
      LOG.info("Starting commit " + newCommitTime);

      List<HoodieRecord<HoodieAvroPayload>> records = dataGen.generateInserts(newCommitTime, 10);
      List<HoodieRecord<HoodieAvroPayload>> recordsSoFar = new ArrayList<>(records);
      JavaRDD<HoodieRecord<HoodieAvroPayload>> writeRecords = jsc.parallelize(records, 1);
      client.insert(writeRecords, newCommitTime);

      // updates
      newCommitTime = client.startCommit();
      LOG.info("Starting commit " + newCommitTime);
      List<HoodieRecord<HoodieAvroPayload>> toBeUpdated = dataGen.generateUpdates(newCommitTime, 2);
      records.addAll(toBeUpdated);
      recordsSoFar.addAll(toBeUpdated);
      writeRecords = jsc.parallelize(records, 1);
      client.upsert(writeRecords, newCommitTime);

      // Delete
      newCommitTime = client.startCommit();
      LOG.info("Starting commit " + newCommitTime);
      // just delete half of the records
      int numToDelete = recordsSoFar.size() / 2;
      List<HoodieKey> toBeDeleted = recordsSoFar.stream().map(HoodieRecord::getKey).limit(numToDelete).collect(Collectors.toList());
      JavaRDD<HoodieKey> deleteRecords = jsc.parallelize(toBeDeleted, 1);
      client.delete(deleteRecords, newCommitTime);

      // Delete by partition
      newCommitTime = client.startCommit();
      client.startCommitWithTime(newCommitTime, HoodieTimeline.REPLACE_COMMIT_ACTION);
      LOG.info("Starting commit " + newCommitTime);
      // The partition where the data needs to be deleted
      List<String> partitionList = toBeDeleted.stream().map(s -> s.getPartitionPath()).distinct().collect(Collectors.toList());
      List<String> deleteList = recordsSoFar.stream().filter(f -> !partitionList.contains(f.getPartitionPath()))
          .map(m -> m.getKey().getPartitionPath()).distinct().collect(Collectors.toList());
      client.deletePartitions(deleteList, newCommitTime);

      // compaction
      if (HoodieTableType.valueOf(tableType) == HoodieTableType.MERGE_ON_READ) {
        Option<String> instant = client.scheduleCompaction(Option.empty());
        JavaRDD<WriteStatus> writeStatues = client.compact(instant.get());
        client.commitCompaction(instant.get(), writeStatues, Option.empty());
      }

    }
  }

}
