/*
 * 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.io.hfile.bucket;

import static org.apache.hadoop.hbase.io.hfile.BlockCacheFactory.BLOCKCACHE_STATS_PERIODS;
import static org.apache.hadoop.hbase.io.hfile.BlockCacheFactory.BLOCKCACHE_STATS_PERIOD_MINUTES_KEY;
import static org.apache.hadoop.hbase.io.hfile.BlockCacheFactory.DEFAULT_BLOCKCACHE_STATS_PERIODS;
import static org.apache.hadoop.hbase.io.hfile.BlockCacheFactory.DEFAULT_BLOCKCACHE_STATS_PERIOD_MINUTES;
import static org.apache.hadoop.hbase.io.hfile.CacheConfig.BUCKETCACHE_PERSIST_INTERVAL_KEY;

import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.NavigableSet;
import java.util.Optional;
import java.util.PriorityQueue;
import java.util.Set;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentSkipListSet;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.LongAdder;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import java.util.function.Consumer;
import java.util.function.Function;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HBaseIOException;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.io.ByteBuffAllocator;
import org.apache.hadoop.hbase.io.ByteBuffAllocator.Recycler;
import org.apache.hadoop.hbase.io.HeapSize;
import org.apache.hadoop.hbase.io.hfile.BlockCache;
import org.apache.hadoop.hbase.io.hfile.BlockCacheKey;
import org.apache.hadoop.hbase.io.hfile.BlockCacheUtil;
import org.apache.hadoop.hbase.io.hfile.BlockPriority;
import org.apache.hadoop.hbase.io.hfile.BlockType;
import org.apache.hadoop.hbase.io.hfile.CacheConfig;
import org.apache.hadoop.hbase.io.hfile.CacheStats;
import org.apache.hadoop.hbase.io.hfile.Cacheable;
import org.apache.hadoop.hbase.io.hfile.CachedBlock;
import org.apache.hadoop.hbase.io.hfile.CombinedBlockCache;
import org.apache.hadoop.hbase.io.hfile.HFileBlock;
import org.apache.hadoop.hbase.io.hfile.HFileContext;
import org.apache.hadoop.hbase.io.hfile.HFileInfo;
import org.apache.hadoop.hbase.nio.ByteBuff;
import org.apache.hadoop.hbase.nio.RefCnt;
import org.apache.hadoop.hbase.protobuf.ProtobufMagic;
import org.apache.hadoop.hbase.regionserver.DataTieringManager;
import org.apache.hadoop.hbase.regionserver.HRegion;
import org.apache.hadoop.hbase.regionserver.StoreFileInfo;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.hbase.util.EnvironmentEdgeManager;
import org.apache.hadoop.hbase.util.IdReadWriteLock;
import org.apache.hadoop.hbase.util.IdReadWriteLockStrongRef;
import org.apache.hadoop.hbase.util.IdReadWriteLockWithObjectPool;
import org.apache.hadoop.hbase.util.IdReadWriteLockWithObjectPool.ReferenceType;
import org.apache.hadoop.hbase.util.Pair;
import org.apache.hadoop.hbase.util.Threads;
import org.apache.hadoop.util.StringUtils;
import org.apache.yetus.audience.InterfaceAudience;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import org.apache.hbase.thirdparty.com.google.common.base.Preconditions;
import org.apache.hbase.thirdparty.com.google.common.util.concurrent.ThreadFactoryBuilder;

import org.apache.hadoop.hbase.shaded.protobuf.generated.BucketCacheProtos;

/**
 * BucketCache uses {@link BucketAllocator} to allocate/free blocks, and uses BucketCache#ramCache
 * and BucketCache#backingMap in order to determine if a given element is in the cache. The bucket
 * cache can use off-heap memory {@link ByteBufferIOEngine} or mmap
 * {@link ExclusiveMemoryMmapIOEngine} or pmem {@link SharedMemoryMmapIOEngine} or local files
 * {@link FileIOEngine} to store/read the block data.
 * <p>
 * Eviction is via a similar algorithm as used in
 * {@link org.apache.hadoop.hbase.io.hfile.LruBlockCache}
 * <p>
 * BucketCache can be used as mainly a block cache (see
 * {@link org.apache.hadoop.hbase.io.hfile.CombinedBlockCache}), combined with a BlockCache to
 * decrease CMS GC and heap fragmentation.
 * <p>
 * It also can be used as a secondary cache (e.g. using a file on ssd/fusionio to store blocks) to
 * enlarge cache space via a victim cache.
 */
@InterfaceAudience.Private
public class BucketCache implements BlockCache, HeapSize {
  private static final Logger LOG = LoggerFactory.getLogger(BucketCache.class);

  /** Priority buckets config */
  static final String SINGLE_FACTOR_CONFIG_NAME = "hbase.bucketcache.single.factor";
  static final String MULTI_FACTOR_CONFIG_NAME = "hbase.bucketcache.multi.factor";
  static final String MEMORY_FACTOR_CONFIG_NAME = "hbase.bucketcache.memory.factor";
  static final String EXTRA_FREE_FACTOR_CONFIG_NAME = "hbase.bucketcache.extrafreefactor";
  static final String ACCEPT_FACTOR_CONFIG_NAME = "hbase.bucketcache.acceptfactor";
  static final String MIN_FACTOR_CONFIG_NAME = "hbase.bucketcache.minfactor";
  static final String BACKING_MAP_PERSISTENCE_CHUNK_SIZE =
    "hbase.bucketcache.persistence.chunksize";

  /** Use strong reference for offsetLock or not */
  private static final String STRONG_REF_KEY = "hbase.bucketcache.offsetlock.usestrongref";
  private static final boolean STRONG_REF_DEFAULT = false;

  /** The cache age of blocks to check if the related file is present on any online regions. */
  static final String BLOCK_ORPHAN_GRACE_PERIOD =
    "hbase.bucketcache.block.orphan.evictgraceperiod.seconds";

  static final long BLOCK_ORPHAN_GRACE_PERIOD_DEFAULT = 24 * 60 * 60 * 1000L;

  /** Priority buckets */
  static final float DEFAULT_SINGLE_FACTOR = 0.25f;
  static final float DEFAULT_MULTI_FACTOR = 0.50f;
  static final float DEFAULT_MEMORY_FACTOR = 0.25f;
  static final float DEFAULT_MIN_FACTOR = 0.85f;

  static final float DEFAULT_EXTRA_FREE_FACTOR = 0.10f;
  static final float DEFAULT_ACCEPT_FACTOR = 0.95f;

  // Number of blocks to clear for each of the bucket size that is full
  static final int DEFAULT_FREE_ENTIRE_BLOCK_FACTOR = 2;

  /** Statistics thread */
  private static final int statThreadPeriod = 5 * 60;

  final static int DEFAULT_WRITER_THREADS = 3;
  final static int DEFAULT_WRITER_QUEUE_ITEMS = 64;

  final static long DEFAULT_BACKING_MAP_PERSISTENCE_CHUNK_SIZE = 10000;

  // Store/read block data
  transient final IOEngine ioEngine;

  // Store the block in this map before writing it to cache
  transient final RAMCache ramCache;

  // In this map, store the block's meta data like offset, length
  transient Map<BlockCacheKey, BucketEntry> backingMap;

  private AtomicBoolean backingMapValidated = new AtomicBoolean(false);

  /**
   * Map of hFile -> Region -> File size. This map is used to track all files completed prefetch,
   * together with the region those belong to and the total cached size for the
   * region.TestBlockEvictionOnRegionMovement
   */
  transient final Map<String, Pair<String, Long>> fullyCachedFiles = new ConcurrentHashMap<>();
  /**
   * Map of region -> total size of the region prefetched on this region server. This is the total
   * size of hFiles for this region prefetched on this region server
   */
  final Map<String, Long> regionCachedSize = new ConcurrentHashMap<>();

  private transient BucketCachePersister cachePersister;

  /**
   * Enum to represent the state of cache
   */
  protected enum CacheState {
    // Initializing: State when the cache is being initialised from persistence.
    INITIALIZING,
    // Enabled: State when cache is initialised and is ready.
    ENABLED,
    // Disabled: State when the cache is disabled.
    DISABLED
  }

  /**
   * Flag if the cache is enabled or not... We shut it off if there are IO errors for some time, so
   * that Bucket IO exceptions/errors don't bring down the HBase server.
   */
  private volatile CacheState cacheState;

  /** The single cleanup thread shared by disable and explicit shutdown calls. */
  private volatile Thread cacheCleanupThread;

  /** The thread restoring the persistent cache index during initialization. */
  private volatile Thread persistenceRetrieverThread;

  /**
   * A list of writer queues. We have a queue per {@link WriterThread} we have running. In other
   * words, the work adding blocks to the BucketCache is divided up amongst the running
   * WriterThreads. Its done by taking hash of the cache key modulo queue count. WriterThread when
   * it runs takes whatever has been recently added and 'drains' the entries to the BucketCache. It
   * then updates the ramCache and backingMap accordingly.
   */
  transient final ArrayList<BlockingQueue<RAMQueueEntry>> writerQueues = new ArrayList<>();
  transient final WriterThread[] writerThreads;

  /** Volatile boolean to track if free space is in process or not */
  private volatile boolean freeInProgress = false;
  private transient final Lock freeSpaceLock = new ReentrantLock();

  private final LongAdder realCacheSize = new LongAdder();
  private final LongAdder heapSize = new LongAdder();
  /** Current number of cached elements */
  private final LongAdder blockNumber = new LongAdder();

  /** Cache access count (sequential ID) */
  private final AtomicLong accessCount = new AtomicLong();

  private final BucketCacheStats cacheStats;
  private final String persistencePath;
  static AtomicBoolean isCacheInconsistent = new AtomicBoolean(false);
  private final long cacheCapacity;
  /** Approximate block size */
  private final long blockSize;

  /** Duration of IO errors tolerated before we disable cache, 1 min as default */
  private final int ioErrorsTolerationDuration;
  // 1 min
  public static final int DEFAULT_ERROR_TOLERATION_DURATION = 60 * 1000;

  // Start time of first IO error when reading or writing IO Engine, it will be
  // reset after a successful read/write.
  private volatile long ioErrorStartTime = -1;

  private transient Configuration conf;

  /**
   * A ReentrantReadWriteLock to lock on a particular block identified by offset. The purpose of
   * this is to avoid freeing the block which is being read.
   * <p>
   */
  transient final IdReadWriteLock<Long> offsetLock;

  transient NavigableSet<BlockCacheKey> blocksByHFile = new ConcurrentSkipListSet<>(
    Comparator.comparing(BlockCacheKey::getHfileName).thenComparingLong(BlockCacheKey::getOffset));

  /** Statistics thread schedule pool (for heavy debugging, could remove) */
  private transient final ScheduledExecutorService scheduleThreadPool =
    Executors.newScheduledThreadPool(1,
      new ThreadFactoryBuilder().setNameFormat("BucketCacheStatsExecutor").setDaemon(true).build());

  // Allocate or free space for the block
  private transient BucketAllocator bucketAllocator;

  /** Acceptable size of cache (no evictions if size < acceptable) */
  private float acceptableFactor;

  /** Minimum threshold of cache (when evicting, evict until size < min) */
  private float minFactor;

  /**
   * Free this floating point factor of extra blocks when evicting. For example free the number of
   * blocks requested * (1 + extraFreeFactor)
   */
  private float extraFreeFactor;

  /** Single access bucket size */
  private float singleFactor;

  /** Multiple access bucket size */
  private float multiFactor;

  /** In-memory bucket size */
  private float memoryFactor;

  private long bucketcachePersistInterval;

  private static final String FILE_VERIFY_ALGORITHM =
    "hbase.bucketcache.persistent.file.integrity.check.algorithm";
  private static final String DEFAULT_FILE_VERIFY_ALGORITHM = "MD5";

  static final String QUEUE_ADDITION_WAIT_TIME = "hbase.bucketcache.queue.addition.waittime";
  private static final long DEFAULT_QUEUE_ADDITION_WAIT_TIME = 0;
  private long queueAdditionWaitTime;
  /**
   * Use {@link java.security.MessageDigest} class's encryption algorithms to check persistent file
   * integrity, default algorithm is MD5
   */
  private String algorithm;

  private long persistenceChunkSize;

  /* Tracing failed Bucket Cache allocations. */
  private long allocFailLogPrevTs; // time of previous log event for allocation failure.
  private static final int ALLOCATION_FAIL_LOG_TIME_PERIOD = 60000; // Default 1 minute.

  private transient Map<String, HRegion> onlineRegions;

  private long orphanBlockGracePeriod = 0;

  public BucketCache(String ioEngineName, long capacity, int blockSize, int[] bucketSizes,
    int writerThreadNum, int writerQLen, String persistencePath) throws IOException {
    this(ioEngineName, capacity, blockSize, bucketSizes, writerThreadNum, writerQLen,
      persistencePath, DEFAULT_ERROR_TOLERATION_DURATION, HBaseConfiguration.create());
  }

  public BucketCache(String ioEngineName, long capacity, int blockSize, int[] bucketSizes,
    int writerThreadNum, int writerQLen, String persistencePath, int ioErrorsTolerationDuration,
    Configuration conf) throws IOException {
    this(ioEngineName, capacity, blockSize, bucketSizes, writerThreadNum, writerQLen,
      persistencePath, ioErrorsTolerationDuration, conf, null);
  }

  public BucketCache(String ioEngineName, long capacity, int blockSize, int[] bucketSizes,
    int writerThreadNum, int writerQLen, String persistencePath, int ioErrorsTolerationDuration,
    Configuration conf, Map<String, HRegion> onlineRegions) throws IOException {
    Preconditions.checkArgument(blockSize > 0,
      "BucketCache capacity is set to " + blockSize + ", can not be less than 0");
    boolean useStrongRef = conf.getBoolean(STRONG_REF_KEY, STRONG_REF_DEFAULT);
    if (useStrongRef) {
      this.offsetLock = new IdReadWriteLockStrongRef<>();
    } else {
      this.offsetLock = new IdReadWriteLockWithObjectPool<>(ReferenceType.SOFT);
    }
    this.conf = conf;
    this.algorithm = conf.get(FILE_VERIFY_ALGORITHM, DEFAULT_FILE_VERIFY_ALGORITHM);
    this.ioEngine = getIOEngineFromName(ioEngineName, capacity, persistencePath);
    this.writerThreads = new WriterThread[writerThreadNum];
    this.onlineRegions = onlineRegions;
    this.orphanBlockGracePeriod =
      conf.getLong(BLOCK_ORPHAN_GRACE_PERIOD, BLOCK_ORPHAN_GRACE_PERIOD_DEFAULT);
    long blockNumCapacity = capacity / blockSize;
    if (blockNumCapacity >= Integer.MAX_VALUE) {
      // Enough for about 32TB of cache!
      throw new IllegalArgumentException("Cache capacity is too large, only support 32TB now");
    }

    // these sets the dynamic configs
    this.onConfigurationChange(conf);
    this.cacheStats =
      new BucketCacheStats(conf.getInt(BLOCKCACHE_STATS_PERIODS, DEFAULT_BLOCKCACHE_STATS_PERIODS),
        conf.getInt(BLOCKCACHE_STATS_PERIOD_MINUTES_KEY, DEFAULT_BLOCKCACHE_STATS_PERIOD_MINUTES));

    LOG.info("Instantiating BucketCache with acceptableFactor: " + acceptableFactor
      + ", minFactor: " + minFactor + ", extraFreeFactor: " + extraFreeFactor + ", singleFactor: "
      + singleFactor + ", multiFactor: " + multiFactor + ", memoryFactor: " + memoryFactor
      + ", useStrongRef: " + useStrongRef);

    this.cacheCapacity = capacity;
    this.persistencePath = persistencePath;
    this.blockSize = blockSize;
    this.ioErrorsTolerationDuration = ioErrorsTolerationDuration;
    this.cacheState = CacheState.INITIALIZING;

    this.allocFailLogPrevTs = 0;

    for (int i = 0; i < writerThreads.length; ++i) {
      writerQueues.add(new ArrayBlockingQueue<>(writerQLen));
    }

    assert writerQueues.size() == writerThreads.length;
    this.ramCache = new RAMCache();

    this.backingMap = new ConcurrentHashMap<>((int) blockNumCapacity);
    instantiateWriterThreads();

    if (isCachePersistent()) {
      if (ioEngine instanceof FileIOEngine) {
        startBucketCachePersisterThread();
      }
      startPersistenceRetriever(bucketSizes, capacity);
    } else {
      bucketAllocator = new BucketAllocator(capacity, bucketSizes);
      this.cacheState = CacheState.ENABLED;
      startWriterThreads();
    }

    // Run the statistics thread periodically to print the cache statistics log
    // TODO: Add means of turning this off. Bit obnoxious running thread just to make a log
    // every five minutes.
    this.scheduleThreadPool.scheduleAtFixedRate(new StatisticsThread(this), statThreadPeriod,
      statThreadPeriod, TimeUnit.SECONDS);
    LOG.info("Started bucket cache; ioengine=" + ioEngineName + ", capacity="
      + StringUtils.byteDesc(capacity) + ", blockSize=" + StringUtils.byteDesc(blockSize)
      + ", writerThreadNum=" + writerThreadNum + ", writerQLen=" + writerQLen + ", persistencePath="
      + persistencePath + ", bucketAllocator=" + BucketAllocator.class.getName());
  }

  private void startPersistenceRetriever(int[] bucketSizes, long capacity) {
    Runnable persistentCacheRetriever = () -> {
      try {
        retrieveFromFile(bucketSizes);
        LOG.info("Persistent bucket cache recovery from {} is complete.", persistencePath);
      } catch (Throwable ex) {
        LOG.warn("Can't restore from file[{}]. The bucket cache will be reset and rebuilt."
          + " Exception seen: ", persistencePath, ex);
        backingMap.clear();
        fullyCachedFiles.clear();
        backingMapValidated.set(true);
        regionCachedSize.clear();
        try {
          bucketAllocator = new BucketAllocator(capacity, bucketSizes);
        } catch (BucketAllocatorException allocatorException) {
          LOG.error("Exception during Bucket Allocation", allocatorException);
        }
      } finally {
        synchronized (BucketCache.this) {
          if (cacheState == CacheState.INITIALIZING) {
            cacheState = CacheState.ENABLED;
            startWriterThreads();
          }
        }
      }
    };
    persistenceRetrieverThread = new Thread(persistentCacheRetriever,
      "BucketCachePersistenceRetriever-" + System.identityHashCode(this));
    persistenceRetrieverThread.start();
  }

  private void sanityCheckConfigs() {
    Preconditions.checkArgument(acceptableFactor <= 1 && acceptableFactor >= 0,
      ACCEPT_FACTOR_CONFIG_NAME + " must be between 0.0 and 1.0");
    Preconditions.checkArgument(minFactor <= 1 && minFactor >= 0,
      MIN_FACTOR_CONFIG_NAME + " must be between 0.0 and 1.0");
    Preconditions.checkArgument(minFactor <= acceptableFactor,
      MIN_FACTOR_CONFIG_NAME + " must be <= " + ACCEPT_FACTOR_CONFIG_NAME);
    Preconditions.checkArgument(extraFreeFactor >= 0,
      EXTRA_FREE_FACTOR_CONFIG_NAME + " must be greater than 0.0");
    Preconditions.checkArgument(singleFactor <= 1 && singleFactor >= 0,
      SINGLE_FACTOR_CONFIG_NAME + " must be between 0.0 and 1.0");
    Preconditions.checkArgument(multiFactor <= 1 && multiFactor >= 0,
      MULTI_FACTOR_CONFIG_NAME + " must be between 0.0 and 1.0");
    Preconditions.checkArgument(memoryFactor <= 1 && memoryFactor >= 0,
      MEMORY_FACTOR_CONFIG_NAME + " must be between 0.0 and 1.0");
    Preconditions.checkArgument((singleFactor + multiFactor + memoryFactor) == 1,
      SINGLE_FACTOR_CONFIG_NAME + ", " + MULTI_FACTOR_CONFIG_NAME + ", and "
        + MEMORY_FACTOR_CONFIG_NAME + " segments must add up to 1.0");
    if (this.persistenceChunkSize <= 0) {
      persistenceChunkSize = DEFAULT_BACKING_MAP_PERSISTENCE_CHUNK_SIZE;
    }
  }

  /**
   * Called by the constructor to instantiate the writer threads.
   */
  private void instantiateWriterThreads() {
    final String threadName = Thread.currentThread().getName();
    for (int i = 0; i < this.writerThreads.length; ++i) {
      this.writerThreads[i] = new WriterThread(this.writerQueues.get(i));
      this.writerThreads[i].setName(threadName + "-BucketCacheWriter-" + i);
      this.writerThreads[i].setDaemon(true);
    }
  }

  /**
   * Called by the constructor to start the writer threads. Used by tests that need to override
   * starting the threads.
   */
  protected void startWriterThreads() {
    for (WriterThread thread : writerThreads) {
      thread.start();
    }
  }

  void startBucketCachePersisterThread() {
    LOG.info("Starting BucketCachePersisterThread");
    cachePersister = new BucketCachePersister(this, bucketcachePersistInterval);
    cachePersister.setDaemon(true);
    cachePersister.start();
  }

  @Override
  public boolean isCacheEnabled() {
    return this.cacheState == CacheState.ENABLED;
  }

  @Override
  public long getMaxSize() {
    return this.cacheCapacity;
  }

  public String getIoEngine() {
    return ioEngine.toString();
  }

  /**
   * Get the IOEngine from the IO engine name
   * @return the IOEngine
   */
  private IOEngine getIOEngineFromName(String ioEngineName, long capacity, String persistencePath)
    throws IOException {
    if (ioEngineName.startsWith("file:") || ioEngineName.startsWith("files:")) {
      // In order to make the usage simple, we only need the prefix 'files:' in
      // document whether one or multiple file(s), but also support 'file:' for
      // the compatibility
      String[] filePaths =
        ioEngineName.substring(ioEngineName.indexOf(":") + 1).split(FileIOEngine.FILE_DELIMITER);
      return new FileIOEngine(capacity, persistencePath != null, filePaths);
    } else if (ioEngineName.startsWith("offheap")) {
      return new ByteBufferIOEngine(capacity);
    } else if (ioEngineName.startsWith("mmap:")) {
      return new ExclusiveMemoryMmapIOEngine(ioEngineName.substring(5), capacity);
    } else if (ioEngineName.startsWith("pmem:")) {
      // This mode of bucket cache creates an IOEngine over a file on the persistent memory
      // device. Since the persistent memory device has its own address space the contents
      // mapped to this address space does not get swapped out like in the case of mmapping
      // on to DRAM. Hence the cells created out of the hfile blocks in the pmem bucket cache
      // can be directly referred to without having to copy them onheap. Once the RPC is done,
      // the blocks can be returned back as in case of ByteBufferIOEngine.
      return new SharedMemoryMmapIOEngine(ioEngineName.substring(5), capacity);
    } else {
      throw new IllegalArgumentException(
        "Don't understand io engine name for cache- prefix with file:, files:, mmap: or offheap");
    }
  }

  public boolean isCachePersistenceEnabled() {
    return persistencePath != null;
  }

  /**
   * Cache the block with the specified name and buffer.
   * @param cacheKey block's cache key
   * @param buf      block buffer
   */
  @Override
  public void cacheBlock(BlockCacheKey cacheKey, Cacheable buf) {
    cacheBlock(cacheKey, buf, false);
  }

  /**
   * Cache the block with the specified name and buffer.
   * @param cacheKey   block's cache key
   * @param cachedItem block buffer
   * @param inMemory   if block is in-memory
   */
  @Override
  public void cacheBlock(BlockCacheKey cacheKey, Cacheable cachedItem, boolean inMemory) {
    cacheBlockWithWait(cacheKey, cachedItem, inMemory, false);
  }

  /**
   * Cache the block with the specified name and buffer.
   * @param cacheKey   block's cache key
   * @param cachedItem block buffer
   * @param inMemory   if block is in-memory
   */
  @Override
  public void cacheBlock(BlockCacheKey cacheKey, Cacheable cachedItem, boolean inMemory,
    boolean waitWhenCache) {
    cacheBlockWithWait(cacheKey, cachedItem, inMemory, waitWhenCache && queueAdditionWaitTime > 0);
  }

  /**
   * Cache the block to ramCache
   * @param cacheKey   block's cache key
   * @param cachedItem block buffer
   * @param inMemory   if block is in-memory
   * @param wait       if true, blocking wait when queue is full
   */
  public void cacheBlockWithWait(BlockCacheKey cacheKey, Cacheable cachedItem, boolean inMemory,
    boolean wait) {
    if (isCacheEnabled()) {
      if (backingMap.containsKey(cacheKey) || ramCache.containsKey(cacheKey)) {
        if (shouldReplaceExistingCacheBlock(cacheKey, cachedItem)) {
          BucketEntry bucketEntry = backingMap.get(cacheKey);
          if (bucketEntry != null && bucketEntry.isRpcRef()) {
            // avoid replace when there are RPC refs for the bucket entry in bucket cache
            return;
          }
          cacheBlockWithWaitInternal(cacheKey, cachedItem, inMemory, wait);
        }
      } else {
        cacheBlockWithWaitInternal(cacheKey, cachedItem, inMemory, wait);
      }
    }
  }

  protected boolean shouldReplaceExistingCacheBlock(BlockCacheKey cacheKey, Cacheable newBlock) {
    return BlockCacheUtil.shouldReplaceExistingCacheBlock(this, cacheKey, newBlock);
  }

  protected void cacheBlockWithWaitInternal(BlockCacheKey cacheKey, Cacheable cachedItem,
    boolean inMemory, boolean wait) {
    if (!isCacheEnabled()) {
      return;
    }
    if (cacheKey.getBlockType() == null && cachedItem.getBlockType() != null) {
      cacheKey.setBlockType(cachedItem.getBlockType());
    }
    LOG.debug("Caching key={}, item={}, key heap size={}", cacheKey, cachedItem,
      cacheKey.heapSize());
    // Stuff the entry into the RAM cache so it can get drained to the persistent store
    RAMQueueEntry re = new RAMQueueEntry(cacheKey, cachedItem, accessCount.incrementAndGet(),
      inMemory, isCachePersistent() && ioEngine instanceof FileIOEngine, wait);
    /**
     * Don't use ramCache.put(cacheKey, re) here. because there may be a existing entry with same
     * key in ramCache, the heap size of bucket cache need to update if replacing entry from
     * ramCache. But WriterThread will also remove entry from ramCache and update heap size, if
     * using ramCache.put(), It's possible that the removed entry in WriterThread is not the correct
     * one, then the heap size will mess up (HBASE-20789)
     */
    if (ramCache.putIfAbsent(cacheKey, re) != null) {
      return;
    }
    int queueNum = (cacheKey.hashCode() & 0x7FFFFFFF) % writerQueues.size();
    BlockingQueue<RAMQueueEntry> bq = writerQueues.get(queueNum);
    boolean successfulAddition = false;
    if (wait) {
      try {
        successfulAddition = bq.offer(re, queueAdditionWaitTime, TimeUnit.MILLISECONDS);
      } catch (InterruptedException e) {
        LOG.error("Thread interrupted: ", e);
        Thread.currentThread().interrupt();
      }
    } else {
      successfulAddition = bq.offer(re);
    }
    if (!successfulAddition) {
      LOG.debug("Failed to insert block {} into the cache writers queue", cacheKey);
      ramCache.remove(cacheKey);
      cacheStats.failInsert();
    } else {
      this.blockNumber.increment();
      this.heapSize.add(cachedItem.heapSize());
    }
  }

  /**
   * If the passed cache key relates to a reference (&lt;hfile&gt;.&lt;parentEncRegion&gt;), this
   * method looks for the block from the referred file, in the cache. If present in the cache, the
   * block for the referred file is returned, otherwise, this method returns null. It will also
   * return null if the passed cache key doesn't relate to a reference.
   * @param key the BlockCacheKey instance to look for in the cache.
   * @return the cached block from the referred file, null if there's no such block in the cache or
   *         the passed key doesn't relate to a reference.
   */
  public BucketEntry getBlockForReference(BlockCacheKey key) {
    BlockCacheKey referredKey = getBlockKeyForReference(key);
    BucketEntry foundEntry = referredKey != null ? backingMap.get(referredKey) : null;
    if (referredKey != null) {
      LOG.debug("Got a link/ref: {}. Related cacheKey: {}. Found entry: {}", key.getHfileName(),
        referredKey, foundEntry);
    }
    return foundEntry;
  }

  private BlockCacheKey getBlockKeyForReference(BlockCacheKey key) {
    if (!StoreFileInfo.isReference(key.getHfileName())) {
      return null;
    }
    String referredFileName =
      StoreFileInfo.getReferredToRegionAndFile(key.getHfileName()).getSecond();
    return referredFileName != null ? new BlockCacheKey(referredFileName, key.getOffset()) : null;
  }

  /**
   * Get the buffer of the block with the specified key.
   * @param key                block's cache key
   * @param caching            true if the caller caches blocks on cache misses
   * @param repeat             Whether this is a repeat lookup for the same block
   * @param updateCacheMetrics Whether we should update cache metrics or not
   * @return buffer of specified cache key, or null if not in cache
   */
  @Override
  public Cacheable getBlock(BlockCacheKey key, boolean caching, boolean repeat,
    boolean updateCacheMetrics) {
    if (!isCacheEnabled()) {
      cacheStats.miss(caching, key.isPrimary(), key.getBlockType());
      return null;
    }
    RAMQueueEntry re = ramCache.get(key);
    if (re != null) {
      if (updateCacheMetrics) {
        cacheStats.hit(caching, key.isPrimary(), key.getBlockType());
      }
      re.access(accessCount.incrementAndGet());
      return re.getData();
    }
    BlockCacheKey backingMapLookupKey = key;
    BucketEntry bucketEntry = backingMap.get(backingMapLookupKey);
    LOG.debug("bucket entry for key {}: {}", key,
      bucketEntry == null ? null : bucketEntry.offset());
    if (bucketEntry == null) {
      backingMapLookupKey = getBlockKeyForReference(key);
      if (backingMapLookupKey != null) {
        bucketEntry = backingMap.get(backingMapLookupKey);
        LOG.debug("Got a link/ref: {}. Related cacheKey: {}. Found entry: {}", key.getHfileName(),
          backingMapLookupKey, bucketEntry);
      }
    }
    if (bucketEntry != null) {
      long start = System.nanoTime();
      ReentrantReadWriteLock lock = offsetLock.getLock(bucketEntry.offset());
      boolean inconsistentEntry = false;
      try {
        lock.readLock().lock();
        // We can not read here even if backingMap does contain the given key because its offset
        // maybe changed. If we lock BlockCacheKey instead of offset, then we can only check
        // existence here.
        if (bucketEntry.equals(backingMap.get(backingMapLookupKey))) {
          // Read the block from IOEngine based on the bucketEntry's offset and length, NOTICE: the
          // block will use the refCnt of bucketEntry, which means if two HFileBlock mapping to
          // the same BucketEntry, then all of the three will share the same refCnt.
          Cacheable cachedBlock = ioEngine.read(bucketEntry);
          if (ioEngine.usesSharedMemory()) {
            // If IOEngine use shared memory, cachedBlock and BucketEntry will share the
            // same RefCnt, do retain here, in order to count the number of RPC references
            cachedBlock.retain();
          }
          // Update the cache statistics.
          if (updateCacheMetrics) {
            cacheStats.hit(caching, key.isPrimary(), key.getBlockType());
            cacheStats.ioHit(System.nanoTime() - start);
          }
          bucketEntry.access(accessCount.incrementAndGet());
          if (this.ioErrorStartTime > 0) {
            ioErrorStartTime = -1;
          }
          return cachedBlock;
        }
      } catch (HBaseIOException hioex) {
        // FileIOEngine throws this when its cached time differs from the persisted index. A plain
        // IOException still follows the configured tolerance policy below.
        inconsistentEntry = true;
        LOG.debug("Failed to fetch block for cache key: {}.", key, hioex);
      } catch (IOException ioex) {
        LOG.error("Failed reading block " + key + " from bucket cache", ioex);
        checkIOErrorIsTolerated();
      } finally {
        lock.readLock().unlock();
      }
      if (inconsistentEntry) {
        evictInconsistentEntry(backingMapLookupKey, bucketEntry);
      }
    }
    if (!repeat && updateCacheMetrics) {
      cacheStats.miss(caching, key.isPrimary(), key.getBlockType());
    }
    return null;
  }

  private void evictInconsistentEntry(BlockCacheKey lookupKey, BucketEntry bucketEntry) {
    BlockCacheKey storedKey = blocksByHFile.ceiling(lookupKey);
    if (storedKey == null || !storedKey.equals(lookupKey)) {
      return;
    }
    bucketEntry.withWriteLock(offsetLock, () -> {
      if (backingMap.remove(storedKey, bucketEntry)) {
        blockEvicted(storedKey, bucketEntry, true, false);
      }
      return null;
    });
  }

  /**
   * This method is invoked after the bucketEntry is removed from {@link BucketCache#backingMap}
   */
  void blockEvicted(BlockCacheKey cacheKey, BucketEntry bucketEntry, boolean decrementBlockNumber,
    boolean evictedByEvictionProcess) {
    bucketEntry.markAsEvicted();
    blocksByHFile.remove(cacheKey);
    if (decrementBlockNumber) {
      this.blockNumber.decrement();
      if (ioEngine.isPersistent()) {
        fileNotFullyCached(cacheKey, bucketEntry);
      }
    }
    if (evictedByEvictionProcess) {
      cacheStats.evicted(bucketEntry.getCachedTime(), cacheKey.isPrimary());
    }
    if (ioEngine.isPersistent()) {
      setCacheInconsistent(true);
    }
  }

  private void fileNotFullyCached(BlockCacheKey key, BucketEntry entry) {
    // Update the updateRegionCachedSize before removing the file from fullyCachedFiles.
    // This computation should happen even if the file is not in fullyCachedFiles map.
    updateRegionCachedSize(key, (entry.getLength() * -1));
    fullyCachedFiles.remove(key.getHfileName());
  }

  public void fileCacheCompleted(Path filePath, long size) {
    Pair<String, Long> pair = new Pair<>();
    // sets the region name
    String regionName = filePath.getParent().getParent().getName();
    pair.setFirst(regionName);
    pair.setSecond(size);
    fullyCachedFiles.put(filePath.getName(), pair);
  }

  private void updateRegionCachedSize(BlockCacheKey key, long cachedSize) {
    if (key.getRegionName() != null) {
      if (key.isArchived()) {
        LOG.trace("Skipping region cached size update for archived file:{} from region: {}",
          key.getHfileName(), key.getRegionName());
      } else {
        String regionName = key.getRegionName();
        regionCachedSize.merge(regionName, cachedSize,
          (previousSize, newBlockSize) -> previousSize + newBlockSize);
        // If all the blocks for a region are evicted from the cache,
        // remove the entry for that region from regionCachedSize map.
        if (regionCachedSize.getOrDefault(regionName, 0L) <= 0) {
          regionCachedSize.remove(regionName);
        }
      }
    }
  }

  /**
   * Free the {{@link BucketEntry} actually,which could only be invoked when the
   * {@link BucketEntry#refCnt} becoming 0.
   */
  void freeBucketEntry(BucketEntry bucketEntry) {
    bucketAllocator.freeBlock(bucketEntry.offset(), bucketEntry.getLength());
    realCacheSize.add(-1 * bucketEntry.getLength());
  }

  /**
   * Try to evict the block from {@link BlockCache} by force. We'll call this in few cases:<br>
   * 1. Close an HFile, and clear all cached blocks. <br>
   * 2. Call {@link Admin#clearBlockCache(TableName)} to clear all blocks for a given table.<br>
   * <p>
   * Firstly, we'll try to remove the block from RAMCache,and then try to evict from backingMap.
   * Here we evict the block from backingMap immediately, but only free the reference from bucket
   * cache by calling {@link BucketEntry#markedAsEvicted}. If there're still some RPC referring this
   * block, block can only be de-allocated when all of them release the block.
   * <p>
   * NOTICE: we need to grab the write offset lock firstly before releasing the reference from
   * bucket cache. if we don't, we may read an {@link BucketEntry} with refCnt = 0 when
   * {@link BucketCache#getBlock(BlockCacheKey, boolean, boolean, boolean)}, it's a memory leak.
   * @param cacheKey Block to evict
   * @return true to indicate whether we've evicted successfully or not.
   */
  @Override
  public boolean evictBlock(BlockCacheKey cacheKey) {
    return doEvictBlock(cacheKey, null, false);
  }

  /**
   * Evict the {@link BlockCacheKey} and {@link BucketEntry} from {@link BucketCache#backingMap} and
   * {@link BucketCache#ramCache}. <br/>
   * NOTE:When Evict from {@link BucketCache#backingMap},only the matched {@link BlockCacheKey} and
   * {@link BucketEntry} could be removed.
   * @param cacheKey    {@link BlockCacheKey} to evict.
   * @param bucketEntry {@link BucketEntry} matched {@link BlockCacheKey} to evict.
   * @return true to indicate whether we've evicted successfully or not.
   */
  private boolean doEvictBlock(BlockCacheKey cacheKey, BucketEntry bucketEntry,
    boolean evictedByEvictionProcess) {
    if (!isCacheEnabled()) {
      return false;
    }
    boolean existedInRamCache = removeFromRamCache(cacheKey);
    if (bucketEntry == null) {
      bucketEntry = backingMap.get(cacheKey);
    }
    final BucketEntry bucketEntryToUse = bucketEntry;

    if (bucketEntryToUse == null) {
      if (existedInRamCache && evictedByEvictionProcess) {
        cacheStats.evicted(0, cacheKey.isPrimary());
      }
      return existedInRamCache;
    } else {
      return bucketEntryToUse.withWriteLock(offsetLock, () -> {
        if (backingMap.remove(cacheKey, bucketEntryToUse)) {
          LOG.debug("removed key {} from back map with offset lock {} in the evict process",
            cacheKey, bucketEntryToUse.offset());
          blockEvicted(cacheKey, bucketEntryToUse, !existedInRamCache, evictedByEvictionProcess);
          return true;
        }
        return false;
      });
    }
  }

  /**
   * <pre>
   * Create the {@link Recycler} for {@link BucketEntry#refCnt},which would be used as
   * {@link RefCnt#recycler} of {@link HFileBlock#buf} returned from {@link BucketCache#getBlock}.
   * NOTE: for {@link BucketCache#getBlock},the {@link RefCnt#recycler} of {@link HFileBlock#buf}
   * from {@link BucketCache#backingMap} and {@link BucketCache#ramCache} are different:
   * 1.For {@link RefCnt#recycler} of {@link HFileBlock#buf} from {@link BucketCache#backingMap},
   *   it is the return value of current {@link BucketCache#createRecycler} method.
   *
   * 2.For {@link RefCnt#recycler} of {@link HFileBlock#buf} from {@link BucketCache#ramCache},
   *   it is {@link ByteBuffAllocator#putbackBuffer}.
   * </pre>
   */
  public Recycler createRecycler(final BucketEntry bucketEntry) {
    return () -> {
      freeBucketEntry(bucketEntry);
      return;
    };
  }

  /**
   * NOTE: This method is only for test.
   */
  public boolean evictBlockIfNoRpcReferenced(BlockCacheKey blockCacheKey) {
    BucketEntry bucketEntry = backingMap.get(blockCacheKey);
    if (bucketEntry == null) {
      return false;
    }
    return evictBucketEntryIfNoRpcReferenced(blockCacheKey, bucketEntry);
  }

  /**
   * Evict {@link BlockCacheKey} and its corresponding {@link BucketEntry} only if
   * {@link BucketEntry#isRpcRef} is false. <br/>
   * NOTE:When evict from {@link BucketCache#backingMap},only the matched {@link BlockCacheKey} and
   * {@link BucketEntry} could be removed.
   * @param blockCacheKey {@link BlockCacheKey} to evict.
   * @param bucketEntry   {@link BucketEntry} matched {@link BlockCacheKey} to evict.
   * @return true to indicate whether we've evicted successfully or not.
   */
  boolean evictBucketEntryIfNoRpcReferenced(BlockCacheKey blockCacheKey, BucketEntry bucketEntry) {
    if (!bucketEntry.isRpcRef()) {
      return doEvictBlock(blockCacheKey, bucketEntry, true);
    }
    return false;
  }

  /**
   * Since HBASE-29249, the following properties governin freeSpace behaviour and block priorities
   * were made dynamically configurable: - hbase.bucketcache.acceptfactor -
   * hbase.bucketcache.minfactor - hbase.bucketcache.extrafreefactor -
   * hbase.bucketcache.single.factor - hbase.bucketcache.multi.factor -
   * hbase.bucketcache.multi.factor - hbase.bucketcache.memory.factor The
   * hbase.bucketcache.queue.addition.waittime property allows for introducing a delay in the
   * publishing of blocks for the cache writer threads during prefetch reads only (client reads
   * wouldn't get delayed). It has also been made dynamic configurable since HBASE-29249. The
   * hbase.bucketcache.persist.intervalinmillis propperty determines the frequency for saving the
   * persistent cache, and it has also been made dynamically configurable since HBASE-29249. The
   * hbase.bucketcache.persistence.chunksize property determines the size of the persistent file
   * splits (due to the limitation of maximum allowed protobuff size), and it has also been made
   * dynamically configurable since HBASE-29249.
   * @param config the new configuration to be updated.
   */
  @Override
  public void onConfigurationChange(Configuration config) {
    this.acceptableFactor = conf.getFloat(ACCEPT_FACTOR_CONFIG_NAME, DEFAULT_ACCEPT_FACTOR);
    this.minFactor = conf.getFloat(MIN_FACTOR_CONFIG_NAME, DEFAULT_MIN_FACTOR);
    this.extraFreeFactor = conf.getFloat(EXTRA_FREE_FACTOR_CONFIG_NAME, DEFAULT_EXTRA_FREE_FACTOR);
    this.singleFactor = conf.getFloat(SINGLE_FACTOR_CONFIG_NAME, DEFAULT_SINGLE_FACTOR);
    this.multiFactor = conf.getFloat(MULTI_FACTOR_CONFIG_NAME, DEFAULT_MULTI_FACTOR);
    this.memoryFactor = conf.getFloat(MEMORY_FACTOR_CONFIG_NAME, DEFAULT_MEMORY_FACTOR);
    this.queueAdditionWaitTime =
      conf.getLong(QUEUE_ADDITION_WAIT_TIME, DEFAULT_QUEUE_ADDITION_WAIT_TIME);
    this.bucketcachePersistInterval = conf.getLong(BUCKETCACHE_PERSIST_INTERVAL_KEY, 1000);
    this.persistenceChunkSize =
      conf.getLong(BACKING_MAP_PERSISTENCE_CHUNK_SIZE, DEFAULT_BACKING_MAP_PERSISTENCE_CHUNK_SIZE);
    sanityCheckConfigs();
  }

  protected boolean removeFromRamCache(BlockCacheKey cacheKey) {
    return ramCache.remove(cacheKey, re -> {
      if (re != null) {
        this.blockNumber.decrement();
        this.heapSize.add(-1 * re.getData().heapSize());
      }
    });
  }

  public boolean isCacheInconsistent() {
    return isCacheInconsistent.get();
  }

  public void setCacheInconsistent(boolean setCacheInconsistent) {
    isCacheInconsistent.set(setCacheInconsistent);
  }

  protected void setCacheState(CacheState state) {
    cacheState = state;
  }

  /*
   * Statistics thread. Periodically output cache statistics to the log.
   */
  private static class StatisticsThread extends Thread {
    private final BucketCache bucketCache;

    public StatisticsThread(BucketCache bucketCache) {
      super("BucketCacheStatsThread");
      setDaemon(true);
      this.bucketCache = bucketCache;
    }

    @Override
    public void run() {
      bucketCache.logStats();
    }
  }

  public void logStats() {
    if (!isCacheInitialized("BucketCache::logStats")) {
      return;
    }

    long totalSize = bucketAllocator.getTotalSize();
    long usedSize = bucketAllocator.getUsedSize();
    long freeSize = totalSize - usedSize;
    long cacheSize = getRealCacheSize();
    LOG.info("failedBlockAdditions=" + cacheStats.getFailedInserts() + ", " + "totalSize="
      + StringUtils.byteDesc(totalSize) + ", " + "freeSize=" + StringUtils.byteDesc(freeSize) + ", "
      + "usedSize=" + StringUtils.byteDesc(usedSize) + ", " + "cacheSize="
      + StringUtils.byteDesc(cacheSize) + ", " + "accesses=" + cacheStats.getRequestCount() + ", "
      + "hits=" + cacheStats.getHitCount() + ", " + "IOhitsPerSecond="
      + cacheStats.getIOHitsPerSecond() + ", " + "IOTimePerHit="
      + String.format("%.2f", cacheStats.getIOTimePerHit()) + ", " + "hitRatio="
      + (cacheStats.getHitCount() == 0
        ? "0,"
        : (StringUtils.formatPercent(cacheStats.getHitRatio(), 2) + ", "))
      + "cachingAccesses=" + cacheStats.getRequestCachingCount() + ", " + "cachingHits="
      + cacheStats.getHitCachingCount() + ", " + "cachingHitsRatio="
      + (cacheStats.getHitCachingCount() == 0
        ? "0,"
        : (StringUtils.formatPercent(cacheStats.getHitCachingRatio(), 2) + ", "))
      + "evictions=" + cacheStats.getEvictionCount() + ", " + "evicted="
      + cacheStats.getEvictedCount() + ", " + "evictedPerRun=" + cacheStats.evictedPerEviction()
      + ", " + "allocationFailCount=" + cacheStats.getAllocationFailCount() + ", blocksCount="
      + backingMap.size());
    cacheStats.reset();

    bucketAllocator.logDebugStatistics();
  }

  public long getRealCacheSize() {
    return this.realCacheSize.sum();
  }

  public long acceptableSize() {
    if (!isCacheInitialized("BucketCache::acceptableSize")) {
      return 0;
    }
    return (long) Math.floor(bucketAllocator.getTotalSize() * acceptableFactor);
  }

  long getPartitionSize(float partitionFactor) {
    if (!isCacheInitialized("BucketCache::getPartitionSize")) {
      return 0;
    }

    return (long) Math.floor(bucketAllocator.getTotalSize() * partitionFactor * minFactor);
  }

  /**
   * Return the count of bucketSizeinfos still need free space
   */
  private int bucketSizesAboveThresholdCount(float minFactor) {
    if (!isCacheInitialized("BucketCache::bucketSizesAboveThresholdCount")) {
      return 0;
    }

    BucketAllocator.IndexStatistics[] stats = bucketAllocator.getIndexStatistics();
    int fullCount = 0;
    for (int i = 0; i < stats.length; i++) {
      long freeGoal = (long) Math.floor(stats[i].totalCount() * (1 - minFactor));
      freeGoal = Math.max(freeGoal, 1);
      if (stats[i].freeCount() < freeGoal) {
        fullCount++;
      }
    }
    return fullCount;
  }

  /**
   * This method will find the buckets that are minimally occupied and are not reference counted and
   * will free them completely without any constraint on the access times of the elements, and as a
   * process will completely free at most the number of buckets passed, sometimes it might not due
   * to changing refCounts
   * @param completelyFreeBucketsNeeded number of buckets to free
   **/
  private void freeEntireBuckets(int completelyFreeBucketsNeeded) {
    if (!isCacheInitialized("BucketCache::freeEntireBuckets")) {
      return;
    }

    if (completelyFreeBucketsNeeded != 0) {
      // First we will build a set where the offsets are reference counted, usually
      // this set is small around O(Handler Count) unless something else is wrong
      Set<Integer> inUseBuckets = new HashSet<>();
      backingMap.forEach((k, be) -> {
        if (be.isRpcRef()) {
          inUseBuckets.add(bucketAllocator.getBucketIndex(be.offset()));
        }
      });
      Set<Integer> candidateBuckets =
        bucketAllocator.getLeastFilledBuckets(inUseBuckets, completelyFreeBucketsNeeded);
      for (Map.Entry<BlockCacheKey, BucketEntry> entry : backingMap.entrySet()) {
        if (candidateBuckets.contains(bucketAllocator.getBucketIndex(entry.getValue().offset()))) {
          evictBucketEntryIfNoRpcReferenced(entry.getKey(), entry.getValue());
        }
      }
    }
  }

  private long calculateBytesToFree(StringBuilder msgBuffer) {
    long bytesToFreeWithoutExtra = 0;
    BucketAllocator.IndexStatistics[] stats = bucketAllocator.getIndexStatistics();
    long[] bytesToFreeForBucket = new long[stats.length];
    for (int i = 0; i < stats.length; i++) {
      bytesToFreeForBucket[i] = 0;
      long freeGoal = (long) Math.floor(stats[i].totalCount() * (1 - minFactor));
      freeGoal = Math.max(freeGoal, 1);
      if (stats[i].freeCount() < freeGoal) {
        bytesToFreeForBucket[i] = stats[i].itemSize() * (freeGoal - stats[i].freeCount());
        bytesToFreeWithoutExtra += bytesToFreeForBucket[i];
        if (msgBuffer != null) {
          msgBuffer.append("Free for bucketSize(" + stats[i].itemSize() + ")="
            + StringUtils.byteDesc(bytesToFreeForBucket[i]) + ", ");
        }
      }
    }
    if (msgBuffer != null) {
      msgBuffer.append("Free for total=" + StringUtils.byteDesc(bytesToFreeWithoutExtra) + ", ");
    }
    return bytesToFreeWithoutExtra;
  }

  /**
   * Free the space if the used size reaches acceptableSize() or one size block couldn't be
   * allocated. When freeing the space, we use the LRU algorithm and ensure there must be some
   * blocks evicted
   * @param why Why we are being called
   */
  void freeSpace(final String why) {
    if (!isCacheInitialized("BucketCache::freeSpace")) {
      return;
    }
    // Ensure only one freeSpace progress at a time
    if (!freeSpaceLock.tryLock()) {
      return;
    }
    try {
      freeInProgress = true;
      StringBuilder msgBuffer = LOG.isDebugEnabled() ? new StringBuilder() : null;
      long bytesToFreeWithoutExtra = calculateBytesToFree(msgBuffer);
      if (bytesToFreeWithoutExtra <= 0) {
        return;
      }
      long currentSize = bucketAllocator.getUsedSize();
      long totalSize = bucketAllocator.getTotalSize();
      if (LOG.isDebugEnabled() && msgBuffer != null) {
        LOG.debug("Free started because \"" + why + "\"; " + msgBuffer + " of current used="
          + StringUtils.byteDesc(currentSize) + ", actual cacheSize="
          + StringUtils.byteDesc(realCacheSize.sum()) + ", total="
          + StringUtils.byteDesc(totalSize));
      }
      long bytesToFreeWithExtra =
        (long) Math.floor(bytesToFreeWithoutExtra * (1 + extraFreeFactor));
      // Instantiate priority buckets
      BucketEntryGroup bucketSingle =
        new BucketEntryGroup(bytesToFreeWithExtra, blockSize, getPartitionSize(singleFactor));
      BucketEntryGroup bucketMulti =
        new BucketEntryGroup(bytesToFreeWithExtra, blockSize, getPartitionSize(multiFactor));
      BucketEntryGroup bucketMemory =
        new BucketEntryGroup(bytesToFreeWithExtra, blockSize, getPartitionSize(memoryFactor));

      Set<String> allValidFiles = null;
      // We need the region/stores/files tree, in order to figure out if a block is "orphan" or not.
      // See further comments below for more details.
      if (onlineRegions != null) {
        allValidFiles = BlockCacheUtil.listAllFilesNames(onlineRegions);
      }
      // the cached time is recored in nanos, so we need to convert the grace period accordingly
      long orphanGracePeriodNanos = orphanBlockGracePeriod * 1000000;
      long bytesFreed = 0;
      // Check the list of files to determine the cold files which can be readily evicted.
      Map<String, String> coldFiles = null;

      DataTieringManager dataTieringManager = DataTieringManager.getInstance();
      if (dataTieringManager != null) {
        coldFiles = dataTieringManager.getColdFilesList();
      }
      // Scan entire map putting bucket entry into appropriate bucket entry
      // group
      for (Map.Entry<BlockCacheKey, BucketEntry> bucketEntryWithKey : backingMap.entrySet()) {
        BlockCacheKey key = bucketEntryWithKey.getKey();
        BucketEntry entry = bucketEntryWithKey.getValue();
        // Under certain conditions, blocks for regions not on the current region server might
        // be hanging on the cache. For example, when using the persistent cache feature, if the
        // RS crashes, then if not the same regions are assigned back once its online again, blocks
        // for the previous online regions would be recovered and stay in the cache. These would be
        // "orphan" blocks, as the files these blocks belong to are not in any of the online
        // regions.
        // "Orphan" blocks are a pure waste of cache space and should be evicted first during
        // the freespace run.
        // Compactions and Flushes may cache blocks before its files are completely written. In
        // these cases the file won't be found in any of the online regions stores, but the block
        // shouldn't be evicted. To avoid this, we defined this
        // hbase.bucketcache.block.orphan.evictgraceperiod property, to account for a grace
        // period (default 24 hours) where a block should be checked if it's an orphan block.
        if (
          allValidFiles != null
            && entry.getCachedTime() < (System.nanoTime() - orphanGracePeriodNanos)
        ) {
          if (!allValidFiles.contains(key.getHfileName())) {
            if (evictBucketEntryIfNoRpcReferenced(key, entry)) {
              // We calculate the freed bytes, but we don't stop if the goal was reached because
              // these are orphan blocks anyway, so let's leverage this run of freeSpace
              // to get rid of all orphans at once.
              bytesFreed += entry.getLength();
              continue;
            }
          }
        }

        if (
          bytesFreed < bytesToFreeWithExtra && coldFiles != null
            && coldFiles.containsKey(bucketEntryWithKey.getKey().getHfileName())
        ) {
          int freedBlockSize = bucketEntryWithKey.getValue().getLength();
          if (evictBlockIfNoRpcReferenced(bucketEntryWithKey.getKey())) {
            bytesFreed += freedBlockSize;
          }
          continue;
        }

        switch (entry.getPriority()) {
          case SINGLE: {
            bucketSingle.add(bucketEntryWithKey);
            break;
          }
          case MULTI: {
            bucketMulti.add(bucketEntryWithKey);
            break;
          }
          case MEMORY: {
            bucketMemory.add(bucketEntryWithKey);
            break;
          }
        }
      }

      // Check if the cold file eviction is sufficient to create enough space.
      bytesToFreeWithExtra -= bytesFreed;
      if (bytesToFreeWithExtra <= 0) {
        LOG.debug("Bucket cache free space completed; freed space : {} bytes of cold data blocks.",
          StringUtils.byteDesc(bytesFreed));
        return;
      }

      if (LOG.isDebugEnabled()) {
        LOG.debug(
          "Bucket cache free space completed; freed space : {} "
            + "bytes of cold data blocks. {} more bytes required to be freed.",
          StringUtils.byteDesc(bytesFreed), bytesToFreeWithExtra);
      }

      PriorityQueue<BucketEntryGroup> bucketQueue =
        new PriorityQueue<>(3, Comparator.comparingLong(BucketEntryGroup::overflow));

      bucketQueue.add(bucketSingle);
      bucketQueue.add(bucketMulti);
      bucketQueue.add(bucketMemory);

      int remainingBuckets = bucketQueue.size();
      BucketEntryGroup bucketGroup;
      while ((bucketGroup = bucketQueue.poll()) != null) {
        long overflow = bucketGroup.overflow();
        if (overflow > 0) {
          long bucketBytesToFree =
            Math.min(overflow, (bytesToFreeWithoutExtra - bytesFreed) / remainingBuckets);
          bytesFreed += bucketGroup.free(bucketBytesToFree);
        }
        remainingBuckets--;
      }

      // Check and free if there are buckets that still need freeing of space
      if (bucketSizesAboveThresholdCount(minFactor) > 0) {
        bucketQueue.clear();
        remainingBuckets = 3;
        bucketQueue.add(bucketSingle);
        bucketQueue.add(bucketMulti);
        bucketQueue.add(bucketMemory);
        while ((bucketGroup = bucketQueue.poll()) != null) {
          long bucketBytesToFree = (bytesToFreeWithExtra - bytesFreed) / remainingBuckets;
          bytesFreed += bucketGroup.free(bucketBytesToFree);
          remainingBuckets--;
        }
      }
      // Even after the above free we might still need freeing because of the
      // De-fragmentation of the buckets (also called Slab Calcification problem), i.e
      // there might be some buckets where the occupancy is very sparse and thus are not
      // yielding the free for the other bucket sizes, the fix for this to evict some
      // of the buckets, we do this by evicting the buckets that are least fulled
      freeEntireBuckets(DEFAULT_FREE_ENTIRE_BLOCK_FACTOR * bucketSizesAboveThresholdCount(1.0f));

      if (LOG.isDebugEnabled()) {
        long single = bucketSingle.totalSize();
        long multi = bucketMulti.totalSize();
        long memory = bucketMemory.totalSize();
        if (LOG.isDebugEnabled()) {
          LOG.debug("Bucket cache free space completed; " + "freed="
            + StringUtils.byteDesc(bytesFreed) + ", " + "total=" + StringUtils.byteDesc(totalSize)
            + ", " + "single=" + StringUtils.byteDesc(single) + ", " + "multi="
            + StringUtils.byteDesc(multi) + ", " + "memory=" + StringUtils.byteDesc(memory));
        }
      }
    } catch (Throwable t) {
      LOG.warn("Failed freeing space", t);
    } finally {
      cacheStats.evict();
      freeInProgress = false;
      freeSpaceLock.unlock();
    }
  }

  // This handles flushing the RAM cache to IOEngine.
  class WriterThread extends Thread {
    private final BlockingQueue<RAMQueueEntry> inputQueue;
    private volatile boolean writerEnabled = true;
    private final ByteBuffer metaBuff = ByteBuffer.allocate(HFileBlock.BLOCK_METADATA_SPACE);

    WriterThread(BlockingQueue<RAMQueueEntry> queue) {
      super("BucketCacheWriterThread");
      this.inputQueue = queue;
    }

    // Used for test
    void disableWriter() {
      this.writerEnabled = false;
    }

    @Override
    public void run() {
      List<RAMQueueEntry> entries = new ArrayList<>();
      try {
        while (isCacheEnabled() && writerEnabled) {
          try {
            try {
              // Blocks
              entries = getRAMQueueEntries(inputQueue, entries);
            } catch (InterruptedException ie) {
              if (!isCacheEnabled() || !writerEnabled) {
                break;
              }
            }
            doDrain(entries, metaBuff);
          } catch (Exception ioe) {
            LOG.error("WriterThread encountered error", ioe);
          }
        }
      } catch (Throwable t) {
        LOG.warn("Failed doing drain", t);
      }
      LOG.info(this.getName() + " exiting, cacheEnabled=" + isCacheEnabled());
    }
  }

  /**
   * Put the new bucket entry into backingMap. Notice that we are allowed to replace the existing
   * cache with a new block for the same cache key. there's a corner case: one thread cache a block
   * in ramCache, copy to io-engine and add a bucket entry to backingMap. Caching another new block
   * with the same cache key do the same thing for the same cache key, so if not evict the previous
   * bucket entry, then memory leak happen because the previous bucketEntry is gone but the
   * bucketAllocator do not free its memory.
   * @see BlockCacheUtil#shouldReplaceExistingCacheBlock(BlockCache blockCache,BlockCacheKey
   *      cacheKey, Cacheable newBlock)
   * @param key         Block cache key
   * @param bucketEntry Bucket entry to put into backingMap.
   */
  protected void putIntoBackingMap(BlockCacheKey key, BucketEntry bucketEntry) {
    BucketEntry previousEntry = backingMap.put(key, bucketEntry);
    updateRegionCachedSize(key, bucketEntry.getLength());
    if (previousEntry != null && previousEntry != bucketEntry) {
      previousEntry.withWriteLock(offsetLock, () -> {
        blockEvicted(key, previousEntry, false, false);
        return null;
      });
    }
    bucketEntry.withWriteLock(offsetLock, () -> {
      if (backingMap.get(key) == bucketEntry) {
        blocksByHFile.add(key);
      }
      return null;
    });
  }

  /**
   * Prepare and return a warning message for Bucket Allocator Exception
   * @param fle The exception
   * @param re  The RAMQueueEntry for which the exception was thrown.
   * @return A warning message created from the input RAMQueueEntry object.
   */
  private static String getAllocationFailWarningMessage(final BucketAllocatorException fle,
    final RAMQueueEntry re) {
    final StringBuilder sb = new StringBuilder();
    sb.append("Most recent failed allocation after ");
    sb.append(ALLOCATION_FAIL_LOG_TIME_PERIOD);
    sb.append(" ms;");
    if (re != null) {
      if (re.getData() instanceof HFileBlock) {
        final HFileContext fileContext = ((HFileBlock) re.getData()).getHFileContext();
        final String columnFamily = Bytes.toString(fileContext.getColumnFamily());
        final String tableName = Bytes.toString(fileContext.getTableName());
        if (tableName != null) {
          sb.append(" Table: ");
          sb.append(tableName);
        }
        if (columnFamily != null) {
          sb.append(" CF: ");
          sb.append(columnFamily);
        }
        sb.append(" HFile: ");
        if (fileContext.getHFileName() != null) {
          sb.append(fileContext.getHFileName());
        } else {
          sb.append(re.getKey());
        }
      } else {
        sb.append(" HFile: ");
        sb.append(re.getKey());
      }
    }
    sb.append(" Message: ");
    sb.append(fle.getMessage());
    return sb.toString();
  }

  /**
   * Flush the entries in ramCache to IOEngine and add bucket entry to backingMap. Process all that
   * are passed in even if failure being sure to remove from ramCache else we'll never undo the
   * references and we'll OOME.
   * @param entries Presumes list passed in here will be processed by this invocation only. No
   *                interference expected.
   */
  void doDrain(final List<RAMQueueEntry> entries, ByteBuffer metaBuff) throws InterruptedException {
    if (entries.isEmpty()) {
      return;
    }
    // This method is a little hard to follow. We run through the passed in entries and for each
    // successful add, we add a non-null BucketEntry to the below bucketEntries. Later we must
    // do cleanup making sure we've cleared ramCache of all entries regardless of whether we
    // successfully added the item to the bucketcache; if we don't do the cleanup, we'll OOME by
    // filling ramCache. We do the clean up by again running through the passed in entries
    // doing extra work when we find a non-null bucketEntries corresponding entry.
    final int size = entries.size();
    BucketEntry[] bucketEntries = new BucketEntry[size];
    // Index updated inside loop if success or if we can't succeed. We retry if cache is full
    // when we go to add an entry by going around the loop again without upping the index.
    int index = 0;
    while (isCacheEnabled() && index < size) {
      RAMQueueEntry re = null;
      try {
        re = entries.get(index);
        if (re == null) {
          LOG.warn("Couldn't get entry or changed on us; who else is messing with it?");
          index++;
          continue;
        }
        // Reset the position for reuse.
        // It should be guaranteed that the data in the metaBuff has been transferred to the
        // ioEngine safely. Otherwise, this reuse is problematic. Fortunately, the data is already
        // transferred with our current IOEngines. Should take care, when we have new kinds of
        // IOEngine in the future.
        metaBuff.clear();
        BucketEntry bucketEntry = re.writeToCache(ioEngine, bucketAllocator, realCacheSize,
          this::createRecycler, metaBuff, acceptableSize());
        // Successfully added. Up index and add bucketEntry. Clear io exceptions.
        bucketEntries[index] = bucketEntry;
        if (ioErrorStartTime > 0) {
          ioErrorStartTime = -1;
        }
        index++;
      } catch (BucketAllocatorException fle) {
        long currTs = EnvironmentEdgeManager.currentTime();
        cacheStats.allocationFailed(); // Record the warning.
        if (
          allocFailLogPrevTs == 0 || (currTs - allocFailLogPrevTs) > ALLOCATION_FAIL_LOG_TIME_PERIOD
        ) {
          LOG.warn(getAllocationFailWarningMessage(fle, re));
          allocFailLogPrevTs = currTs;
        }
        // Presume can't add. Too big? Move index on. Entry will be cleared from ramCache below.
        bucketEntries[index] = null;
        index++;
      } catch (CacheFullException cfe) {
        // Cache full when we tried to add. Try freeing space and then retrying (don't up index)
        if (!freeInProgress && !re.isPrefetch()) {
          freeSpace("Full!");
        } else if (re.isPrefetch()) {
          bucketEntries[index] = null;
          index++;
        } else {
          Thread.sleep(50);
        }
      } catch (IOException ioex) {
        // Hopefully transient. Retry. checkIOErrorIsTolerated disables cache if problem.
        LOG.error("Failed writing to bucket cache", ioex);
        checkIOErrorIsTolerated();
      }
    }

    // Make sure data pages are written on media before we update maps.
    try {
      ioEngine.sync();
    } catch (IOException ioex) {
      LOG.error("Failed syncing IO engine", ioex);
      checkIOErrorIsTolerated();
      // Since we failed sync, free the blocks in bucket allocator
      for (int i = 0; i < entries.size(); ++i) {
        BucketEntry bucketEntry = bucketEntries[i];
        if (bucketEntry != null) {
          bucketAllocator.freeBlock(bucketEntry.offset(), bucketEntry.getLength());
          bucketEntries[i] = null;
        }
      }
    }

    // Now add to backingMap if successfully added to bucket cache. Remove from ramCache if
    // success or error.
    for (int i = 0; i < size; ++i) {
      BlockCacheKey key = entries.get(i).getKey();
      // Only add if non-null entry.
      if (bucketEntries[i] != null) {
        putIntoBackingMap(key, bucketEntries[i]);
        if (ioEngine.isPersistent()) {
          setCacheInconsistent(true);
        }
      }
      // Always remove from ramCache even if we failed adding it to the block cache above.
      boolean existed = ramCache.remove(key, re -> {
        if (re != null) {
          heapSize.add(-1 * re.getData().heapSize());
        }
      });
      if (!existed && bucketEntries[i] != null) {
        // Block should have already been evicted. Remove it and free space.
        final BucketEntry bucketEntry = bucketEntries[i];
        bucketEntry.withWriteLock(offsetLock, () -> {
          if (backingMap.remove(key, bucketEntry)) {
            blockEvicted(key, bucketEntry, false, false);
          }
          return null;
        });
      }
      long used = bucketAllocator.getUsedSize();
      if (!entries.get(i).isPrefetch() && used > acceptableSize()) {
        LOG.debug("Calling freeSpace for block: {}", entries.get(i).getKey());
        freeSpace("Used=" + used + " > acceptable=" + acceptableSize());
      }
    }

  }

  /**
   * Blocks until elements available in {@code q} then tries to grab as many as possible before
   * returning.
   * @param receptacle Where to stash the elements taken from queue. We clear before we use it just
   *                   in case.
   * @param q          The queue to take from.
   * @return {@code receptacle} laden with elements taken from the queue or empty if none found.
   */
  static List<RAMQueueEntry> getRAMQueueEntries(BlockingQueue<RAMQueueEntry> q,
    List<RAMQueueEntry> receptacle) throws InterruptedException {
    // Clear sets all entries to null and sets size to 0. We retain allocations. Presume it
    // ok even if list grew to accommodate thousands.
    receptacle.clear();
    receptacle.add(q.take());
    q.drainTo(receptacle);
    return receptacle;
  }

  /**
   * @see #retrieveFromFile(int[])
   */
  @edu.umd.cs.findbugs.annotations.SuppressWarnings(value = "OBL_UNSATISFIED_OBLIGATION",
      justification = "false positive, try-with-resources ensures close is called.")
  void persistToFile() throws IOException {
    persistToFile(entry -> {
    });
  }

  private void persistToFile(Consumer<Map.Entry<BlockCacheKey, BucketEntry>> entryCopiedAction)
    throws IOException {
    LOG.debug("Thread {} started persisting bucket cache to file",
      Thread.currentThread().getName());
    if (!isCachePersistent()) {
      throw new IOException("Attempt to persist non-persistent cache mappings!");
    }
    File tempPersistencePath = new File(persistencePath + EnvironmentEdgeManager.currentTime());
    try (FileOutputStream fos = new FileOutputStream(tempPersistencePath, false)) {
      LOG.debug("Persist in new chunked persistence format.");

      persistChunkedBackingMap(fos, entryCopiedAction);

      LOG.debug(
        "PersistToFile: after persisting backing map size: {}, fullycachedFiles size: {},"
          + " file name: {}",
        backingMap.size(), fullyCachedFiles.size(), tempPersistencePath.getName());
    } catch (IOException e) {
      LOG.error("Failed to persist bucket cache to file", e);
      throw e;
    } catch (Throwable e) {
      LOG.error("Failed during persist bucket cache to file: ", e);
      throw e;
    }
    LOG.debug("Thread {} finished persisting bucket cache to file, renaming",
      Thread.currentThread().getName());
    if (!tempPersistencePath.renameTo(new File(persistencePath))) {
      LOG.warn("Failed to commit cache persistent file. We might lose cached blocks if "
        + "RS crashes/restarts before we successfully checkpoint again.");
    }
  }

  public boolean isCachePersistent() {
    return ioEngine.isPersistent() && persistencePath != null;
  }

  @Override
  public Optional<Map<String, Long>> getRegionCachedInfo() {
    return Optional.of(Collections.unmodifiableMap(regionCachedSize));
  }

  /**
   * @see #persistToFile()
   */
  private void retrieveFromFile(int[] bucketSizes) throws IOException {
    LOG.info("Started retrieving bucket cache from file");
    File persistenceFile = new File(persistencePath);
    if (!persistenceFile.exists()) {
      LOG.warn("Persistence file missing! "
        + "It's ok if it's first run after enabling persistent cache.");
      bucketAllocator = new BucketAllocator(cacheCapacity, bucketSizes, backingMap, realCacheSize);
      blockNumber.add(backingMap.size());
      backingMapValidated.set(true);
      return;
    }
    assert !isCacheEnabled();

    try (FileInputStream in = new FileInputStream(persistenceFile)) {
      int pblen = ProtobufMagic.lengthOfPBMagic();
      byte[] pbuf = new byte[pblen];
      IOUtils.readFully(in, pbuf, 0, pblen);

      if (ProtobufMagic.isPBMagicPrefix(pbuf)) {
        LOG.info("Reading old format of persistence.");
        // The old non-chunked version of backing map persistence.
        BucketCacheProtos.BucketCacheEntry cacheEntry =
          BucketCacheProtos.BucketCacheEntry.parseDelimitedFrom(in);
        if (cacheEntry == null) {
          throw new IOException(
            "Failed to parse cache entry from persistence file: " + persistencePath);
        }
        parsePB(cacheEntry);
      } else if (Arrays.equals(pbuf, BucketProtoUtils.PB_MAGIC_V2)) {
        // The new persistence format of chunked persistence.
        LOG.info("Reading new chunked format of persistence.");
        retrieveChunkedBackingMap(in);
      } else {
        // In 3.0 we have enough flexibility to dump the old cache data.
        // TODO: In 2.x line, this might need to be filled in to support reading the old format
        throw new IOException(
          "Persistence file does not start with protobuf magic number. " + persistencePath);
      }
      bucketAllocator = new BucketAllocator(cacheCapacity, bucketSizes, backingMap, realCacheSize);
      blockNumber.add(backingMap.size());
      LOG.info("Bucket cache retrieved from file successfully with size: {}", backingMap.size());
    }
  }

  private void updateRegionSizeMapWhileRetrievingFromFile() {
    // Update the regionCachedSize with the region size while restarting the region server
    if (LOG.isDebugEnabled()) {
      LOG.debug("Updating region size map after retrieving cached file list");
      dumpPrefetchList();
    }
    regionCachedSize.clear();
    backingMap.forEach((k, v) -> updateRegionCachedSize(k, v.getLength()));
  }

  private void dumpPrefetchList() {
    for (Map.Entry<String, Pair<String, Long>> outerEntry : fullyCachedFiles.entrySet()) {
      LOG.debug("Cached File Entry:<{},<{},{}>>", outerEntry.getKey(),
        outerEntry.getValue().getFirst(), outerEntry.getValue().getSecond());
    }
  }

  private void verifyCapacityAndClasses(long capacitySize, String ioclass, String mapclass)
    throws IOException {
    if (capacitySize != cacheCapacity) {
      throw new IOException("Mismatched cache capacity:" + StringUtils.byteDesc(capacitySize)
        + ", expected: " + StringUtils.byteDesc(cacheCapacity));
    }
    if (!ioEngine.getClass().getName().equals(ioclass)) {
      throw new IOException("Class name for IO engine mismatch: " + ioclass + ", expected:"
        + ioEngine.getClass().getName());
    }
    if (!backingMap.getClass().getName().equals(mapclass)) {
      throw new IOException("Class name for cache map mismatch: " + mapclass + ", expected:"
        + backingMap.getClass().getName());
    }
  }

  private void verifyFileIntegrity(BucketCacheProtos.BucketCacheEntry proto) {
    try {
      if (proto.hasChecksum()) {
        ((PersistentIOEngine) ioEngine).verifyFileIntegrity(proto.getChecksum().toByteArray(),
          algorithm);
      }
      backingMapValidated.set(true);
    } catch (IOException e) {
      LOG.warn("Checksum for cache file failed. "
        + "We need to validate each cache key in the backing map. "
        + "This may take some time, so we'll do it in a background thread,");

      Runnable cacheValidator = () -> {
        while (bucketAllocator == null) {
          try {
            Thread.sleep(50);
          } catch (InterruptedException ex) {
            throw new RuntimeException(ex);
          }
        }
        long startTime = EnvironmentEdgeManager.currentTime();
        int totalKeysOriginally = backingMap.size();
        for (Map.Entry<BlockCacheKey, BucketEntry> keyEntry : backingMap.entrySet()) {
          try {
            ((FileIOEngine) ioEngine).checkCacheTime(keyEntry.getValue());
          } catch (IOException e1) {
            LOG.debug("Check for key {} failed. Evicting.", keyEntry.getKey());
            evictBlock(keyEntry.getKey());
            fileNotFullyCached(keyEntry.getKey(), keyEntry.getValue());
          }
        }
        backingMapValidated.set(true);
        LOG.info("Finished validating {} keys in the backing map. Recovered: {}. This took {}ms.",
          totalKeysOriginally, backingMap.size(),
          (EnvironmentEdgeManager.currentTime() - startTime));
      };
      Thread t = new Thread(cacheValidator);
      t.setDaemon(true);
      t.start();
    }
  }

  private void updateCacheIndex(BucketCacheProtos.BackingMap chunk,
    java.util.Map<java.lang.Integer, java.lang.String> deserializer) throws IOException {
    Pair<ConcurrentHashMap<BlockCacheKey, BucketEntry>, NavigableSet<BlockCacheKey>> pair2 =
      BucketProtoUtils.fromPB(deserializer, chunk, this::createRecycler);
    pair2.getFirst().forEach((k, v) -> {
      backingMap.put(k, v);
      updateRegionCachedSize(k, v.getLength());
    });
    blocksByHFile.addAll(pair2.getSecond());
  }

  private void parsePB(BucketCacheProtos.BucketCacheEntry proto) throws IOException {
    Pair<ConcurrentHashMap<BlockCacheKey, BucketEntry>, NavigableSet<BlockCacheKey>> pair =
      BucketProtoUtils.fromPB(proto.getDeserializersMap(), proto.getBackingMap(),
        this::createRecycler);
    backingMap = pair.getFirst();
    blocksByHFile = pair.getSecond();
    fullyCachedFiles.clear();
    fullyCachedFiles.putAll(BucketProtoUtils.fromPB(proto.getCachedFilesMap()));

    LOG.info("After retrieval Backing map size: {}, fullyCachedFiles size: {}", backingMap.size(),
      fullyCachedFiles.size());

    verifyFileIntegrity(proto);
    updateRegionSizeMapWhileRetrievingFromFile();
    verifyCapacityAndClasses(proto.getCacheCapacity(), proto.getIoClass(), proto.getMapClass());
  }

  private void persistChunkedBackingMap(FileOutputStream fos,
    Consumer<Map.Entry<BlockCacheKey, BucketEntry>> entryCopiedAction) throws IOException {
    LOG.debug(
      "persistToFile: before persisting backing map size: {}, "
        + "fullycachedFiles size: {}, chunkSize: {}",
      backingMap.size(), fullyCachedFiles.size(), persistenceChunkSize);

    BucketProtoUtils.serializeAsPB(this, fos, persistenceChunkSize, entryCopiedAction);

    LOG.debug(
      "persistToFile: after persisting backing map size: {}, " + "fullycachedFiles size: {}",
      backingMap.size(), fullyCachedFiles.size());
  }

  private void retrieveChunkedBackingMap(FileInputStream in) throws IOException {
    // Read the first chunk that has all the details.
    BucketCacheProtos.BucketCacheEntry cacheEntry =
      BucketCacheProtos.BucketCacheEntry.parseDelimitedFrom(in);

    // HBASE-29857: Handle case where persistence file is empty.
    // parseDelimitedFrom() returns null when there's no data to read.
    // Note: Corrupted files would throw InvalidProtocolBufferException (subclass of IOException).
    if (cacheEntry == null) {
      throw new IOException("Failed to read cache entry from persistence file (file is empty)");
    }

    fullyCachedFiles.clear();
    fullyCachedFiles.putAll(BucketProtoUtils.fromPB(cacheEntry.getCachedFilesMap()));

    backingMap.clear();
    blocksByHFile.clear();
    regionCachedSize.clear();

    // Read the backing map entries in batches.
    int numChunks = 0;
    while (in.available() > 0) {
      updateCacheIndex(BucketCacheProtos.BackingMap.parseDelimitedFrom(in),
        cacheEntry.getDeserializersMap());
      numChunks++;
    }

    LOG.info("Retrieved {} of chunks with blockCount = {}.", numChunks, backingMap.size());
    verifyFileIntegrity(cacheEntry);
    verifyCapacityAndClasses(cacheEntry.getCacheCapacity(), cacheEntry.getIoClass(),
      cacheEntry.getMapClass());
  }

  /**
   * Check whether we tolerate IO error this time. If the duration of IOEngine throwing errors
   * exceeds ioErrorsDurationTimeTolerated, we will disable the cache
   */
  private void checkIOErrorIsTolerated() {
    long now = EnvironmentEdgeManager.currentTime();
    // Do a single read to a local variable to avoid timing issue - HBASE-24454
    long ioErrorStartTimeTmp = this.ioErrorStartTime;
    if (ioErrorStartTimeTmp > 0) {
      if (isCacheEnabled() && (now - ioErrorStartTimeTmp) > this.ioErrorsTolerationDuration) {
        LOG.error("IO errors duration time has exceeded " + ioErrorsTolerationDuration
          + "ms, disabling cache, please check your IOEngine");
        disableCache();
      }
    } else {
      this.ioErrorStartTime = now;
    }
  }

  /**
   * Used to shut down the cache -or- turn it off in the case of something broken.
   * @return whether explicit shutdown should wait for cleanup
   */
  private synchronized boolean disableCache() {
    if (cacheState == CacheState.DISABLED) {
      return false;
    }
    boolean waitForCleanup = cacheState == CacheState.ENABLED && isCachePersistent();
    LOG.info("Disabling cache");
    cacheState = CacheState.DISABLED;
    this.scheduleThreadPool.shutdown();
    for (WriterThread writerThread : writerThreads) {
      writerThread.interrupt();
    }
    // Closing the IO engine helps unblock an in-flight writer before the cleanup thread joins it.
    // FileIOEngine can reopen a channel, so cleanup closes the engine again after writers stop.
    ioEngine.shutdown();
    if (cacheStats.getMetricsRollerScheduler() != null) {
      cacheStats.getMetricsRollerScheduler().shutdownNow();
    }
    cacheCleanupThread = Threads.setDaemonThreadRunning(new Thread(this::cleanupCache),
      "BucketCacheCleanup-" + System.identityHashCode(this), Threads.LOGGING_EXCEPTION_HANDLER);
    return waitForCleanup;
  }

  private void cleanupCache() {
    try {
      Threads.shutdown(persistenceRetrieverThread);
      for (WriterThread writerThread : writerThreads) {
        Threads.shutdown(writerThread);
      }
      for (BlockingQueue<RAMQueueEntry> writerQueue : writerQueues) {
        writerQueue.clear();
      }
      ramCache.clear();
      if (cachePersister != null) {
        LOG.info("Shutting down cache persister thread.");
        cachePersister.shutdown();
        Threads.shutdown(cachePersister);
      }
      if (isCachePersistent()) {
        try {
          // The serializer already visits every entry. Release owner references in the same pass.
          persistToFile(this::cleanupBackingMapEntry);
        } catch (IOException ex) {
          LOG.error("Unable to persist data on exit: " + ex.toString(), ex);
        }
      }
    } finally {
      try {
        cleanupCacheIndex();
      } finally {
        ioEngine.shutdown();
      }
    }
  }

  private void cleanupCacheIndex() {
    // A successful persistent cleanup emptied the map during serialization. Avoid creating a
    // second iterator over a large ConcurrentHashMap in that case.
    if (!backingMap.isEmpty()) {
      for (Map.Entry<BlockCacheKey, BucketEntry> entry : backingMap.entrySet()) {
        cleanupBackingMapEntry(entry);
      }
    }
    blocksByHFile.clear();
    fullyCachedFiles.clear();
    regionCachedSize.clear();
  }

  private void cleanupBackingMapEntry(Map.Entry<BlockCacheKey, BucketEntry> entry) {
    BlockCacheKey cacheKey = entry.getKey();
    BucketEntry bucketEntry = entry.getValue();
    bucketEntry.withWriteLock(offsetLock, () -> {
      if (backingMap.remove(cacheKey, bucketEntry)) {
        bucketEntry.markAsEvicted();
      }
      return null;
    });
  }

  private void waitForCacheCleanup() throws InterruptedException {
    Thread cleanupThread = cacheCleanupThread;
    if (cleanupThread == null || cleanupThread == Thread.currentThread()) {
      return;
    }
    cleanupThread.join();
  }

  @Override
  public void shutdown() {
    if (disableCache()) {
      try {
        waitForCacheCleanup();
      } catch (InterruptedException e) {
        Thread.currentThread().interrupt();
        LOG.warn("Interrupted while waiting for bucket cache cleanup", e);
      }
    }
    LOG.info("Shutdown bucket cache: IO persistent=" + ioEngine.isPersistent() + "; path to write="
      + persistencePath);
  }

  /**
   * Needed mostly for UTs that might run in the same VM and create different BucketCache instances
   * on different UT methods.
   */
  @Override
  protected void finalize() {
    if (cachePersister != null && !cachePersister.isInterrupted()) {
      cachePersister.interrupt();
    }
  }

  @Override
  public CacheStats getStats() {
    return cacheStats;
  }

  public BucketAllocator getAllocator() {
    return this.bucketAllocator;
  }

  @Override
  public long heapSize() {
    return this.heapSize.sum();
  }

  @Override
  public long size() {
    return this.realCacheSize.sum();
  }

  @Override
  public long getCurrentDataSize() {
    return size();
  }

  @Override
  public long getFreeSize() {
    if (!isCacheInitialized("BucketCache:getFreeSize")) {
      return 0;
    }
    return this.bucketAllocator.getFreeSize();
  }

  @Override
  public long getBlockCount() {
    return this.blockNumber.sum();
  }

  @Override
  public long getDataBlockCount() {
    return getBlockCount();
  }

  @Override
  public long getCurrentSize() {
    if (!isCacheInitialized("BucketCache::getCurrentSize")) {
      return 0;
    }
    return this.bucketAllocator.getUsedSize();
  }

  protected String getAlgorithm() {
    return algorithm;
  }

  /**
   * Evicts all blocks for a specific HFile.
   * <p>
   * This is used for evict-on-close to remove all blocks of a specific HFile.
   * @return the number of blocks evicted
   */
  @Override
  public int evictBlocksByHfileName(String hfileName) {
    return evictBlocksRangeByHfileName(hfileName, 0, Long.MAX_VALUE);
  }

  @Override
  public int evictBlocksRangeByHfileName(String hfileName, long initOffset, long endOffset) {
    Set<BlockCacheKey> keySet = getAllCacheKeysForFile(hfileName, initOffset, endOffset);
    // We need to make sure whether we are evicting all blocks for this given file. In case of
    // split references, we might be evicting just half of the blocks
    LOG.debug("found {} blocks for file {}, starting offset: {}, end offset: {}", keySet.size(),
      hfileName, initOffset, endOffset);
    return evictBlockSet(keySet);
  }

  private int evictBlockSet(Set<BlockCacheKey> keySet) {
    int numEvicted = 0;
    for (BlockCacheKey key : keySet) {
      if (evictBlock(key)) {
        ++numEvicted;
      }
    }
    return numEvicted;
  }

  private Set<BlockCacheKey> getAllCacheKeysForFile(String hfileName, long init, long end) {
    Set<BlockCacheKey> cacheKeys = new HashSet<>();
    // At this moment, Some Bucket Entries may be in the WriterThread queue, and not yet put into
    // the backingMap. So, when executing this method, we should check both the RAMCache and
    // backingMap to ensure all CacheKeys are obtained.
    // For more details, please refer to HBASE-29862.
    Set<BlockCacheKey> ramCacheKeySet = ramCache.getRamBlockCacheKeysForHFile(hfileName);
    for (BlockCacheKey key : ramCacheKeySet) {
      if (key.getOffset() >= init && key.getOffset() <= end) {
        cacheKeys.add(key);
      }
    }

    // These keys are just for comparison and are short lived, so we need only file name and offset
    cacheKeys.addAll(blocksByHFile.subSet(new BlockCacheKey(hfileName, init), true,
      new BlockCacheKey(hfileName, end), true));
    return cacheKeys;
  }

  /**
   * Used to group bucket entries into priority buckets. There will be a BucketEntryGroup for each
   * priority (single, multi, memory). Once bucketed, the eviction algorithm takes the appropriate
   * number of elements out of each according to configuration parameters and their relative sizes.
   */
  private class BucketEntryGroup {

    private CachedEntryQueue queue;
    private long totalSize = 0;
    private long bucketSize;

    public BucketEntryGroup(long bytesToFree, long blockSize, long bucketSize) {
      this.bucketSize = bucketSize;
      queue = new CachedEntryQueue(bytesToFree, blockSize);
      totalSize = 0;
    }

    public void add(Map.Entry<BlockCacheKey, BucketEntry> block) {
      totalSize += block.getValue().getLength();
      queue.add(block);
    }

    public long free(long toFree) {
      Map.Entry<BlockCacheKey, BucketEntry> entry;
      long freedBytes = 0;
      // TODO avoid a cycling siutation. We find no block which is not in use and so no way to free
      // What to do then? Caching attempt fail? Need some changes in cacheBlock API?
      while ((entry = queue.pollLast()) != null) {
        BlockCacheKey blockCacheKey = entry.getKey();
        BucketEntry be = entry.getValue();
        if (evictBucketEntryIfNoRpcReferenced(blockCacheKey, be)) {
          freedBytes += be.getLength();
        }
        if (freedBytes >= toFree) {
          return freedBytes;
        }
      }
      return freedBytes;
    }

    public long overflow() {
      return totalSize - bucketSize;
    }

    public long totalSize() {
      return totalSize;
    }
  }

  /**
   * Block Entry stored in the memory with key,data and so on
   */
  static class RAMQueueEntry {
    private final BlockCacheKey key;
    private final Cacheable data;
    private long accessCounter;
    private boolean inMemory;
    private boolean isCachePersistent;

    private boolean isPrefetch;

    RAMQueueEntry(BlockCacheKey bck, Cacheable data, long accessCounter, boolean inMemory,
      boolean isCachePersistent, boolean isPrefetch) {
      this.key = bck;
      this.data = data;
      this.accessCounter = accessCounter;
      this.inMemory = inMemory;
      this.isCachePersistent = isCachePersistent;
      this.isPrefetch = isPrefetch;
    }

    public Cacheable getData() {
      return data;
    }

    public BlockCacheKey getKey() {
      return key;
    }

    public boolean isPrefetch() {
      return isPrefetch;
    }

    public void access(long accessCounter) {
      this.accessCounter = accessCounter;
    }

    private ByteBuffAllocator getByteBuffAllocator() {
      if (data instanceof HFileBlock) {
        return ((HFileBlock) data).getByteBuffAllocator();
      }
      return ByteBuffAllocator.HEAP;
    }

    public BucketEntry writeToCache(final IOEngine ioEngine, final BucketAllocator alloc,
      final LongAdder realCacheSize, Function<BucketEntry, Recycler> createRecycler,
      ByteBuffer metaBuff, final Long acceptableSize) throws IOException {
      int len = data.getSerializedLength();
      // This cacheable thing can't be serialized
      if (len == 0) {
        return null;
      }
      if (isCachePersistent && data instanceof HFileBlock) {
        len += Long.BYTES; // we need to record the cache time for consistency check in case of
                           // recovery
      }
      long offset = alloc.allocateBlock(len);
      // In the case of prefetch, we want to avoid freeSpace runs when the cache is full.
      // this makes the cache allocation more predictable, and is particularly important
      // when persistent cache is enabled, as it won't trigger evictions of the recovered blocks,
      // which are likely the most accessed and relevant blocks in the cache.
      if (isPrefetch() && alloc.getUsedSize() > acceptableSize) {
        alloc.freeBlock(offset, len);
        return null;
      }
      boolean succ = false;
      BucketEntry bucketEntry = null;
      try {
        int diskSizeWithHeader = (data instanceof HFileBlock)
          ? ((HFileBlock) data).getOnDiskSizeWithHeader()
          : data.getSerializedLength();
        bucketEntry = new BucketEntry(offset, len, diskSizeWithHeader, accessCounter, inMemory,
          createRecycler, getByteBuffAllocator());
        bucketEntry.setDeserializerReference(data.getDeserializer());
        if (data instanceof HFileBlock) {
          // If an instance of HFileBlock, save on some allocations.
          HFileBlock block = (HFileBlock) data;
          ByteBuff sliceBuf = block.getBufferReadOnly();
          block.getMetaData(metaBuff);
          // adds the cache time prior to the block and metadata part
          if (isCachePersistent) {
            ByteBuffer buffer = ByteBuffer.allocate(Long.BYTES);
            buffer.putLong(bucketEntry.getCachedTime());
            buffer.rewind();
            ioEngine.write(buffer, offset);
            ioEngine.write(sliceBuf, (offset + Long.BYTES));
          } else {
            ioEngine.write(sliceBuf, offset);
          }
          ioEngine.write(metaBuff, offset + len - metaBuff.limit());
        } else {
          // Only used for testing.
          ByteBuffer bb = ByteBuffer.allocate(len);
          data.serialize(bb, true);
          ioEngine.write(bb, offset);
        }
        succ = true;
      } finally {
        if (!succ) {
          alloc.freeBlock(offset, len);
        }
      }
      realCacheSize.add(len);
      return bucketEntry;
    }
  }

  /**
   * Only used in test
   */
  void stopWriterThreads() throws InterruptedException {
    for (WriterThread writerThread : writerThreads) {
      writerThread.disableWriter();
      writerThread.interrupt();
      writerThread.join();
    }
  }

  @Override
  public Iterator<CachedBlock> iterator() {
    // Don't bother with ramcache since stuff is in here only a little while.
    final Iterator<Map.Entry<BlockCacheKey, BucketEntry>> i = this.backingMap.entrySet().iterator();
    return new Iterator<CachedBlock>() {
      private final long now = System.nanoTime();

      @Override
      public boolean hasNext() {
        return i.hasNext();
      }

      @Override
      public CachedBlock next() {
        final Map.Entry<BlockCacheKey, BucketEntry> e = i.next();
        return new CachedBlock() {
          @Override
          public String toString() {
            return BlockCacheUtil.toString(this, now);
          }

          @Override
          public BlockPriority getBlockPriority() {
            return e.getValue().getPriority();
          }

          @Override
          public BlockType getBlockType() {
            // Not held by BucketEntry. Could add it if wanted on BucketEntry creation.
            return null;
          }

          @Override
          public long getOffset() {
            return e.getKey().getOffset();
          }

          @Override
          public long getSize() {
            return e.getValue().getLength();
          }

          @Override
          public long getCachedTime() {
            return e.getValue().getCachedTime();
          }

          @Override
          public String getFilename() {
            return e.getKey().getHfileName();
          }

          @Override
          public int compareTo(CachedBlock other) {
            int diff = this.getFilename().compareTo(other.getFilename());
            if (diff != 0) return diff;

            diff = Long.compare(this.getOffset(), other.getOffset());
            if (diff != 0) return diff;
            if (other.getCachedTime() < 0 || this.getCachedTime() < 0) {
              throw new IllegalStateException(
                "" + this.getCachedTime() + ", " + other.getCachedTime());
            }
            return Long.compare(other.getCachedTime(), this.getCachedTime());
          }

          @Override
          public int hashCode() {
            return e.getKey().hashCode();
          }

          @Override
          public boolean equals(Object obj) {
            if (obj instanceof CachedBlock) {
              CachedBlock cb = (CachedBlock) obj;
              return compareTo(cb) == 0;
            } else {
              return false;
            }
          }
        };
      }

      @Override
      public void remove() {
        throw new UnsupportedOperationException();
      }
    };
  }

  @Override
  public BlockCache[] getBlockCaches() {
    return null;
  }

  public int getRpcRefCount(BlockCacheKey cacheKey) {
    BucketEntry bucketEntry = backingMap.get(cacheKey);
    if (bucketEntry != null) {
      return bucketEntry.refCnt() - (bucketEntry.markedAsEvicted.get() ? 0 : 1);
    }
    return 0;
  }

  float getAcceptableFactor() {
    return acceptableFactor;
  }

  float getMinFactor() {
    return minFactor;
  }

  float getExtraFreeFactor() {
    return extraFreeFactor;
  }

  float getSingleFactor() {
    return singleFactor;
  }

  float getMultiFactor() {
    return multiFactor;
  }

  float getMemoryFactor() {
    return memoryFactor;
  }

  long getQueueAdditionWaitTime() {
    return queueAdditionWaitTime;
  }

  long getPersistenceChunkSize() {
    return persistenceChunkSize;
  }

  long getBucketcachePersistInterval() {
    return bucketcachePersistInterval;
  }

  public String getPersistencePath() {
    return persistencePath;
  }

  /**
   * Wrapped the delegate ConcurrentMap with maintaining its block's reference count.
   */
  static class RAMCache {
    /**
     * Defined the map as {@link ConcurrentHashMap} explicitly here, because in
     * {@link RAMCache#get(BlockCacheKey)} and
     * {@link RAMCache#putIfAbsent(BlockCacheKey, BucketCache.RAMQueueEntry)} , we need to guarantee
     * the atomicity of map#computeIfPresent(key, func) and map#putIfAbsent(key, func). Besides, the
     * func method can execute exactly once only when the key is present(or absent) and under the
     * lock context. Otherwise, the reference count of block will be messed up. Notice that the
     * {@link java.util.concurrent.ConcurrentSkipListMap} can not guarantee that.
     */
    final ConcurrentHashMap<BlockCacheKey, RAMQueueEntry> delegate = new ConcurrentHashMap<>();

    public boolean containsKey(BlockCacheKey key) {
      return delegate.containsKey(key);
    }

    public RAMQueueEntry get(BlockCacheKey key) {
      return delegate.computeIfPresent(key, (k, re) -> {
        // It'll be referenced by RPC, so retain atomically here. if the get and retain is not
        // atomic, another thread may remove and release the block, when retaining in this thread we
        // may retain a block with refCnt=0 which is disallowed. (see HBASE-22422)
        re.getData().retain();
        return re;
      });
    }

    /**
     * Return the previous associated value, or null if absent. It has the same meaning as
     * {@link ConcurrentMap#putIfAbsent(Object, Object)}
     */
    public RAMQueueEntry putIfAbsent(BlockCacheKey key, RAMQueueEntry entry) {
      AtomicBoolean absent = new AtomicBoolean(false);
      RAMQueueEntry re = delegate.computeIfAbsent(key, k -> {
        // The RAMCache reference to this entry, so reference count should be increment.
        entry.getData().retain();
        absent.set(true);
        return entry;
      });
      return absent.get() ? null : re;
    }

    public boolean remove(BlockCacheKey key) {
      return remove(key, re -> {
      });
    }

    /**
     * Defined an {@link Consumer} here, because once the removed entry release its reference count,
     * then it's ByteBuffers may be recycled and accessing it outside this method will be thrown an
     * exception. the consumer will access entry to remove before release its reference count.
     * Notice, don't change its reference count in the {@link Consumer}
     */
    public boolean remove(BlockCacheKey key, Consumer<RAMQueueEntry> action) {
      RAMQueueEntry previous = delegate.remove(key);
      action.accept(previous);
      if (previous != null) {
        previous.getData().release();
      }
      return previous != null;
    }

    public boolean isEmpty() {
      return delegate.isEmpty();
    }

    public void clear() {
      Iterator<Map.Entry<BlockCacheKey, RAMQueueEntry>> it = delegate.entrySet().iterator();
      while (it.hasNext()) {
        RAMQueueEntry re = it.next().getValue();
        it.remove();
        re.getData().release();
      }
    }

    public boolean hasBlocksForFile(String fileName) {
      return delegate.keySet().stream().filter(key -> key.getHfileName().equals(fileName))
        .findFirst().isPresent();
    }

    public Set<BlockCacheKey> getRamBlockCacheKeysForHFile(String fileName) {
      Set<BlockCacheKey> ramCacheKeySet = new HashSet<>();
      for (BlockCacheKey blockCacheKey : delegate.keySet()) {
        if (blockCacheKey.getHfileName().equals(fileName)) {
          ramCacheKeySet.add(blockCacheKey);
        }
      }
      return ramCacheKeySet;
    }
  }

  public Map<BlockCacheKey, BucketEntry> getBackingMap() {
    return backingMap;
  }

  public AtomicBoolean getBackingMapValidated() {
    return backingMapValidated;
  }

  @Override
  public Optional<Map<String, Pair<String, Long>>> getFullyCachedFiles() {
    return Optional.of(fullyCachedFiles);
  }

  public static Optional<BucketCache> getBucketCacheFromCacheConfig(CacheConfig cacheConf) {
    if (cacheConf.getBlockCache().isPresent()) {
      BlockCache bc = cacheConf.getBlockCache().get();
      if (bc instanceof CombinedBlockCache) {
        BlockCache l2 = ((CombinedBlockCache) bc).getSecondLevelCache();
        if (l2 instanceof BucketCache) {
          return Optional.of((BucketCache) l2);
        }
      } else if (bc instanceof BucketCache) {
        return Optional.of((BucketCache) bc);
      }
    }
    return Optional.empty();
  }

  private int countBlocksForFile(Path fileName, List<ReentrantReadWriteLock> locks) {
    LOG.debug("iterating over {} entries in the backing map", backingMap.size());
    Set<BlockCacheKey> result = getAllCacheKeysForFile(fileName.getName(), 0, Long.MAX_VALUE);
    if (result.isEmpty() && StoreFileInfo.isReference(fileName)) {
      result = getAllCacheKeysForFile(
        StoreFileInfo.getReferredToRegionAndFile(fileName.getName()).getSecond(), 0,
        Long.MAX_VALUE);
    }
    int count = 0;
    for (BlockCacheKey entry : result) {
      LOG.debug("found block for file {} in the backing map. Acquiring read lock for offset {}",
        fileName.getName(), entry.getOffset());
      ReentrantReadWriteLock lock = offsetLock.getLock(entry.getOffset());
      lock.readLock().lock();
      locks.add(lock);
      if (backingMap.containsKey(entry) && entry.getBlockType().isData()) {
        count++;
      }
    }
    return count;
  }

  private void releaseAllLocks(List<ReentrantReadWriteLock> locks) {
    for (ReentrantReadWriteLock lock : locks) {
      lock.readLock().unlock();
    }
  }

  @Override
  public void notifyFileCachingCompleted(Path fileName, int totalBlockCount, int dataBlockCount,
    long size) {
    // block eviction may be happening in the background as prefetch runs,
    // so we need to count all blocks for this file in the backing map under
    // a read lock for the block offset
    final List<ReentrantReadWriteLock> locks = new ArrayList<>();
    LOG.debug("Notifying caching completed for file {}, with total blocks {}, and data blocks {}",
      fileName, totalBlockCount, dataBlockCount);
    try {
      boolean lastTry = false;
      for (;;) {
        int count = countBlocksForFile(fileName, locks);
        // BucketCache would only have data blocks
        if (dataBlockCount == count) {
          LOG.debug("File {} has now been fully cached.", fileName);
          fileCacheCompleted(fileName, size);
          break;
        }
        if (lastTry) {
          LOG.info(
            "The total block count was {}. We found only {} data blocks cached from "
              + "a total of {} data blocks for file {}, "
              + "but no blocks pending caching. Maybe cache is full or evictions "
              + "happened concurrently to cache prefetch.",
            totalBlockCount, count, dataBlockCount, fileName);
          break;
        }
        if (ramCache.hasBlocksForFile(fileName.getName())) {
          releaseAllLocks(locks);
          locks.clear();
          LOG.debug("There are still blocks pending caching for file {}. Will sleep 100ms "
            + "and try the verification again.", fileName);
          Thread.sleep(100);
        } else {
          // there are no pending blocks, so count for the last time, if we still can not get enough
          // data blocks, quit
          LOG.debug("There are no blocks pending cache for file {}. Will try the verification "
            + "for the last time.");
          lastTry = true;
        }
      }
    } catch (InterruptedException e) {
      throw new RuntimeException(e);
    } finally {
      releaseAllLocks(locks);
    }
  }

  @Override
  public Optional<Boolean> blockFitsIntoTheCache(HFileBlock block) {
    if (!isCacheInitialized("blockFitsIntoTheCache")) {
      return Optional.of(false);
    }

    long currentUsed = bucketAllocator.getUsedSize();
    boolean result = (currentUsed + block.getOnDiskSizeWithHeader()) < acceptableSize();
    return Optional.of(result);
  }

  @Override
  public Optional<Boolean> shouldCacheFile(HFileInfo hFileInfo, Configuration conf) {
    String fileName = hFileInfo.getHFileContext().getHFileName();
    DataTieringManager dataTieringManager = DataTieringManager.getInstance();
    if (dataTieringManager != null && !dataTieringManager.isHotData(hFileInfo, conf)) {
      LOG.debug("Custom tiering is enabled for file: '{}' and it is not hot data", fileName);
      // If custom tiering has been just enabled for a file that was cached, we now need
      // to evict it.
      Set<BlockCacheKey> keySet =
        getAllCacheKeysForFile(hFileInfo.getHFileContext().getHFileName(), 0, Long.MAX_VALUE);
      int evictedBlocks = evictBlockSet(keySet);
      if (evictedBlocks > 0) {
        LOG.debug(
          "Evicted {} blocks for file {} as it is now considered cold by DataTieringManager",
          evictedBlocks, fileName);
      }
      return Optional.of(false);
    }
    // if we don't have the file in fullyCachedFiles, we should cache it
    return Optional.of(!fullyCachedFiles.containsKey(fileName));
  }

  @Override
  public Optional<Boolean> shouldCacheBlock(BlockCacheKey key, long maxTimestamp,
    Configuration conf) {
    DataTieringManager dataTieringManager = DataTieringManager.getInstance();
    if (dataTieringManager != null && !dataTieringManager.isHotData(maxTimestamp, conf)) {
      LOG.debug("Data tiering is enabled for file: '{}' and it is not hot data",
        key.getHfileName());
      return Optional.of(false);
    }
    return Optional.of(true);
  }

  @Override
  public Optional<Boolean> isAlreadyCached(BlockCacheKey key) {
    boolean foundKey = backingMap.containsKey(key);
    // if there's no entry for the key itself, we need to check if this key is for a reference,
    // and if so, look for a block from the referenced file using this getBlockForReference method.
    return Optional.of(foundKey ? true : getBlockForReference(key) != null);
  }

  @Override
  public Optional<Integer> getBlockSize(BlockCacheKey key) {
    BucketEntry entry = backingMap.get(key);
    if (entry == null) {
      // the key might be for a reference tha we had found the block from the referenced file in
      // the cache when we first tried to cache it.
      entry = getBlockForReference(key);
      return entry == null ? Optional.empty() : Optional.of(entry.getOnDiskSizeWithHeader());
    } else {
      return Optional.of(entry.getOnDiskSizeWithHeader());
    }

  }

  boolean isCacheInitialized(String api) {
    if (cacheState == CacheState.INITIALIZING) {
      LOG.warn("Bucket initialisation pending at {}", api);
      return false;
    }
    return true;
  }

  @Override
  public boolean waitForCacheInitialization(long timeout) {
    while (cacheState == CacheState.INITIALIZING) {
      if (timeout <= 0) {
        break;
      }
      try {
        Thread.sleep(100);
      } catch (InterruptedException e) {
        LOG.warn("Interrupted while waiting for cache initialization", e);
        Thread.currentThread().interrupt();
        break;
      }
      timeout -= 100;
    }
    return isCacheEnabled();
  }
}