/**
    *
    * 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.hadoop.hbase.regionserver.compactions;
  
  import java.io.IOException;
  import java.util.ArrayList;
  import java.util.Collection;
  import java.util.List;
  
  import org.apache.commons.logging.Log;
  import org.apache.commons.logging.LogFactory;
  import org.apache.hadoop.conf.Configuration;
  import org.apache.hadoop.hbase.classification.InterfaceAudience;
  import org.apache.hadoop.hbase.regionserver.StoreConfigInformation;
  import org.apache.hadoop.hbase.regionserver.StoreFile;
  import org.apache.hadoop.hbase.regionserver.StoreUtils;
  import org.apache.hadoop.hbase.util.EnvironmentEdgeManager;
  
  /**
   * 
   * FIFO compaction policy selects only files which have all cells expired. 
   * The column family MUST have non-default TTL. One of the use cases for this 
   * policy is when we need to store raw data which will be post-processed later 
   * and discarded completely after quite short period of time. Raw time-series vs. 
   * time-based roll up aggregates and compacted time-series. We collect raw time-series
   * and store them into CF with FIFO compaction policy, periodically we run task 
   * which creates roll up aggregates and compacts time-series, the original raw data 
   * can be discarded after that.
   * 
   */
  @InterfaceAudience.Private
  public class FIFOCompactionPolicy extends ExploringCompactionPolicy {
    
    private static final Log LOG = LogFactory.getLog(FIFOCompactionPolicy.class);
  
  
    public FIFOCompactionPolicy(Configuration conf, StoreConfigInformation storeConfigInfo) {
      super(conf, storeConfigInfo);
    }
  
    @Override
    public CompactionRequest selectCompaction(Collection<StoreFile> candidateFiles,
        List<StoreFile> filesCompacting, boolean isUserCompaction, boolean mayUseOffPeak,
        boolean forceMajor) throws IOException {
      
      if(forceMajor){
        LOG.warn("Major compaction is not supported for FIFO compaction policy. Ignore the flag.");
      }
      boolean isAfterSplit = StoreUtils.hasReferences(candidateFiles);
      if(isAfterSplit){
        LOG.info("Split detected, delegate selection to the parent policy.");
        return super.selectCompaction(candidateFiles, filesCompacting, isUserCompaction, 
          mayUseOffPeak, forceMajor);
      }
      
      // Nothing to compact
      Collection<StoreFile> toCompact = getExpiredStores(candidateFiles, filesCompacting);
      CompactionRequest result = new CompactionRequest(toCompact);
      return result;
    }
  
    @Override
    public boolean shouldPerformMajorCompaction(Collection<StoreFile> filesToCompact)
      throws IOException {
      boolean isAfterSplit = StoreUtils.hasReferences(filesToCompact);
      if(isAfterSplit){
        LOG.info("Split detected, delegate to the parent policy.");
        return super.shouldPerformMajorCompaction(filesToCompact);
      }
      return false;
    }
  
    @Override
    public boolean needsCompaction(Collection<StoreFile> storeFiles, 
        List<StoreFile> filesCompacting) {  
      boolean isAfterSplit = StoreUtils.hasReferences(storeFiles);
      if(isAfterSplit){
        LOG.info("Split detected, delegate to the parent policy.");
        return super.needsCompaction(storeFiles, filesCompacting);
      }
      return hasExpiredStores(storeFiles);
    }
  
   /**
    * The FIFOCompactionPolicy only choose the TTL expired store files as the compaction candidates.
    * If all the store files are TTL expired, then the compaction will generate a new empty file.
    * While its max timestamp will be Long.MAX_VALUE. If not considered separately, the store file
    * will never be archived because its TTL will be never expired. So we'll check the empty store
    * file separately (See HBASE-21504).
    */
   private boolean isEmptyStoreFile(StoreFile sf) {
     return sf.getReader().getEntries() == 0;
   }
 
   private boolean hasExpiredStores(Collection<StoreFile> files) {
     long currentTime = EnvironmentEdgeManager.currentTime();
     for (StoreFile sf : files) {
       if (isEmptyStoreFile(sf)) {
         return true;
       }
       // Check MIN_VERSIONS is in HStore removeUnneededFiles
       long maxTs = sf.getReader().getMaxTimestamp();
       long maxTtl = storeConfigInfo.getStoreFileTtl();
       if (maxTtl == Long.MAX_VALUE || currentTime - maxTtl < maxTs) {
         continue;
       } else {
         return true;
       }
     }
     return false;
   }
 
   private  Collection<StoreFile> getExpiredStores(Collection<StoreFile> files,
       Collection<StoreFile> filesCompacting) {
     long currentTime = EnvironmentEdgeManager.currentTime();
     Collection<StoreFile> expiredStores = new ArrayList<StoreFile>();
     for (StoreFile sf : files) {
       if (isEmptyStoreFile(sf) && !filesCompacting.contains(sf)) {
         expiredStores.add(sf);
         continue;
       }
       // Check MIN_VERSIONS is in HStore removeUnneededFiles
       long maxTs = sf.getReader().getMaxTimestamp();
       long maxTtl = storeConfigInfo.getStoreFileTtl();
       if (maxTtl == Long.MAX_VALUE || (currentTime - maxTtl < maxTs)) {
         continue;
       } else if (filesCompacting == null || !filesCompacting.contains(sf)) {
         expiredStores.add(sf);
       }
     }
     return expiredStores;
   }
 }