/*
 * 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;

import static org.apache.hadoop.hbase.io.hfile.HFileBlock.FILL_HEADER;

import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.HashSet;
import java.util.Map;
import java.util.NavigableMap;
import java.util.NavigableSet;
import java.util.Set;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.concurrent.ConcurrentSkipListSet;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.metrics.impl.FastLongHistogram;
import org.apache.hadoop.hbase.nio.ByteBuff;
import org.apache.hadoop.hbase.regionserver.HRegion;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.hbase.util.ChecksumType;
import org.apache.hadoop.hbase.util.GsonUtil;
import org.apache.yetus.audience.InterfaceAudience;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import org.apache.hbase.thirdparty.com.google.gson.Gson;
import org.apache.hbase.thirdparty.com.google.gson.TypeAdapter;
import org.apache.hbase.thirdparty.com.google.gson.stream.JsonReader;
import org.apache.hbase.thirdparty.com.google.gson.stream.JsonWriter;

/**
 * Utilty for aggregating counts in CachedBlocks and toString/toJSON CachedBlocks and BlockCaches.
 * No attempt has been made at making this thread safe.
 */
@InterfaceAudience.Private
public class BlockCacheUtil {

  private static final Logger LOG = LoggerFactory.getLogger(BlockCacheUtil.class);

  public static final long NANOS_PER_SECOND = 1000000000;

  /**
   * Needed generating JSON.
   */
  private static final Gson GSON = GsonUtil.createGson()
    .registerTypeAdapter(FastLongHistogram.class, new TypeAdapter<FastLongHistogram>() {

      @Override
      public void write(JsonWriter out, FastLongHistogram value) throws IOException {
        AgeSnapshot snapshot = new AgeSnapshot(value);
        out.beginObject();
        out.name("mean").value(snapshot.getMean());
        out.name("min").value(snapshot.getMin());
        out.name("max").value(snapshot.getMax());
        out.name("75thPercentile").value(snapshot.get75thPercentile());
        out.name("95thPercentile").value(snapshot.get95thPercentile());
        out.name("98thPercentile").value(snapshot.get98thPercentile());
        out.name("99thPercentile").value(snapshot.get99thPercentile());
        out.name("999thPercentile").value(snapshot.get999thPercentile());
        out.endObject();
      }

      @Override
      public FastLongHistogram read(JsonReader in) throws IOException {
        throw new UnsupportedOperationException();
      }
    }).setPrettyPrinting().create();

  /** Returns The block content as String. */
  public static String toString(final CachedBlock cb, final long now) {
    return "filename=" + cb.getFilename() + ", " + toStringMinusFileName(cb, now);
  }

  /**
   * Little data structure to hold counts for a file. Used doing a toJSON.
   */
  static class CachedBlockCountsPerFile {
    private int count = 0;
    private long size = 0;
    private int countData = 0;
    private long sizeData = 0;
    private final String filename;

    CachedBlockCountsPerFile(final String filename) {
      this.filename = filename;
    }

    public int getCount() {
      return count;
    }

    public long getSize() {
      return size;
    }

    public int getCountData() {
      return countData;
    }

    public long getSizeData() {
      return sizeData;
    }

    public String getFilename() {
      return filename;
    }
  }

  /** Returns A JSON String of <code>filename</code> and counts of <code>blocks</code> */
  public static String toJSON(String filename, NavigableSet<CachedBlock> blocks)
    throws IOException {
    CachedBlockCountsPerFile counts = new CachedBlockCountsPerFile(filename);
    for (CachedBlock cb : blocks) {
      counts.count++;
      counts.size += cb.getSize();
      BlockType bt = cb.getBlockType();
      if (bt != null && bt.isData()) {
        counts.countData++;
        counts.sizeData += cb.getSize();
      }
    }
    return GSON.toJson(counts);
  }

  /** Returns JSON string of <code>cbsf</code> aggregated */
  public static String toJSON(CachedBlocksByFile cbsbf) throws IOException {
    return GSON.toJson(cbsbf);
  }

  /** Returns JSON string of <code>bc</code> content. */
  public static String toJSON(BlockCache bc) throws IOException {
    return GSON.toJson(bc);
  }

  /** Returns The block content of <code>bc</code> as a String minus the filename. */
  public static String toStringMinusFileName(final CachedBlock cb, final long now) {
    return "offset=" + cb.getOffset() + ", size=" + cb.getSize() + ", age="
      + (now - cb.getCachedTime()) + ", type=" + cb.getBlockType() + ", priority="
      + cb.getBlockPriority();
  }

  /**
   * Get a {@link CachedBlocksByFile} instance and load it up by iterating content in
   * {@link BlockCache}.
   * @param conf Used to read configurations
   * @param bc   Block Cache to iterate.
   * @return Laoded up instance of CachedBlocksByFile
   */
  public static CachedBlocksByFile getLoadedCachedBlocksByFile(final Configuration conf,
    final BlockCache bc) {
    CachedBlocksByFile cbsbf = new CachedBlocksByFile(conf);
    for (CachedBlock cb : bc) {
      if (cbsbf.update(cb)) break;
    }
    return cbsbf;
  }

  private static int compareCacheBlock(Cacheable left, Cacheable right,
    boolean includeNextBlockMetadata) {
    ByteBuffer l = ByteBuffer.allocate(left.getSerializedLength());
    left.serialize(l, includeNextBlockMetadata);
    ByteBuffer r = ByteBuffer.allocate(right.getSerializedLength());
    right.serialize(r, includeNextBlockMetadata);
    return Bytes.compareTo(l.array(), l.arrayOffset(), l.limit(), r.array(), r.arrayOffset(),
      r.limit());
  }

  /**
   * Validate that the existing and newBlock are the same without including the nextBlockMetadata,
   * if not, throw an exception. If they are the same without the nextBlockMetadata, return the
   * comparison.
   * @param existing block that is existing in the cache.
   * @param newBlock block that is trying to be cached.
   * @param cacheKey the cache key of the blocks.
   * @return comparison of the existing block to the newBlock.
   */
  public static int validateBlockAddition(Cacheable existing, Cacheable newBlock,
    BlockCacheKey cacheKey) {
    int comparison = compareCacheBlock(existing, newBlock, false);
    if (comparison != 0) {
      throw new RuntimeException(
        "Cached block contents differ, which should not have happened." + "cacheKey:" + cacheKey);
    }
    if ((existing instanceof HFileBlock) && (newBlock instanceof HFileBlock)) {
      comparison = ((HFileBlock) existing).getNextBlockOnDiskSize()
        - ((HFileBlock) newBlock).getNextBlockOnDiskSize();
    }
    return comparison;
  }

  /**
   * Because of the region splitting, it's possible that the split key locate in the middle of a
   * block. So it's possible that both the daughter regions load the same block from their parent
   * HFile. When pread, we don't force the read to read all of the next block header. So when two
   * threads try to cache the same block, it's possible that one thread read all of the next block
   * header but the other one didn't. if the already cached block hasn't next block header but the
   * new block to cache has, then we can replace the existing block with the new block for better
   * performance.(HBASE-20447)
   * @param blockCache BlockCache to check
   * @param cacheKey   the block cache key
   * @param newBlock   the new block which try to put into the block cache.
   * @return true means need to replace existing block with new block for the same block cache key.
   *         false means just keep the existing block.
   */
  public static boolean shouldReplaceExistingCacheBlock(BlockCache blockCache,
    BlockCacheKey cacheKey, Cacheable newBlock) {
    // NOTICE: The getBlock has retained the existingBlock inside.
    Cacheable existingBlock = blockCache.getBlock(cacheKey, false, false, false);
    if (existingBlock == null) {
      return true;
    }
    try {
      int comparison = BlockCacheUtil.validateBlockAddition(existingBlock, newBlock, cacheKey);
      if (comparison < 0) {
        LOG.warn("Cached block contents differ by nextBlockOnDiskSize, the new block has "
          + "nextBlockOnDiskSize set. Caching new block.");
        return true;
      } else if (comparison > 0) {
        LOG.warn("Cached block contents differ by nextBlockOnDiskSize, the existing block has "
          + "nextBlockOnDiskSize set, Keeping cached block.");
        return false;
      } else {
        LOG.debug("Caching an already cached block: {}. This is harmless and can happen in rare "
          + "cases (see HBASE-8547)", cacheKey);
        return false;
      }
    } finally {
      // Release this block to decrement the reference count.
      existingBlock.release();
    }
  }

  public static Set<String> listAllFilesNames(Map<String, HRegion> onlineRegions) {
    Set<String> files = new HashSet<>();
    onlineRegions.values().forEach(r -> {
      r.getStores().forEach(s -> {
        s.getStorefiles().forEach(f -> files.add(f.getPath().getName()));
      });
    });
    return files;
  }

  private static final int DEFAULT_MAX = 1000000;

  public static int getMaxCachedBlocksByFile(Configuration conf) {
    return conf == null ? DEFAULT_MAX : conf.getInt("hbase.ui.blockcache.by.file.max", DEFAULT_MAX);
  }

  /**
   * Similarly to HFileBlock.Writer.getBlockForCaching(), creates a HFileBlock instance without
   * checksum for caching. This is needed for when we cache blocks via readers (either prefetch or
   * client read), otherwise we may fail equality comparison when checking against same block that
   * may already have been cached at write time.
   * @param cacheConf the related CacheConfig object.
   * @param block     the HFileBlock instance to be converted.
   * @return the resulting HFileBlock instance without checksum.
   */
  public static HFileBlock getBlockForCaching(CacheConfig cacheConf, HFileBlock block) {
    // Calculate how many bytes we need for checksum on the tail of the block.
    int numBytes = cacheConf.shouldCacheCompressed(block.getBlockType().getCategory())
      ? 0
      : (int) ChecksumUtil.numBytes(block.getOnDiskDataSizeWithHeader(),
        block.getHFileContext().getBytesPerChecksum());
    ByteBuff buff = block.getBufferReadOnly();
    HFileBlockBuilder builder = new HFileBlockBuilder();
    return builder.withBlockType(block.getBlockType())
      .withOnDiskSizeWithoutHeader(block.getOnDiskSizeWithoutHeader())
      .withUncompressedSizeWithoutHeader(block.getUncompressedSizeWithoutHeader())
      .withPrevBlockOffset(block.getPrevBlockOffset()).withByteBuff(buff)
      .withFillHeader(FILL_HEADER).withOffset(block.getOffset()).withNextBlockOnDiskSize(-1)
      .withOnDiskDataSizeWithHeader(block.getOnDiskDataSizeWithHeader() + numBytes)
      .withHFileContext(cloneContext(block.getHFileContext()))
      .withByteBuffAllocator(cacheConf.getByteBuffAllocator()).withShared(!buff.hasArray()).build();
  }

  public static HFileContext cloneContext(HFileContext context) {
    HFileContext newContext = new HFileContextBuilder().withBlockSize(context.getBlocksize())
      .withBytesPerCheckSum(0).withChecksumType(ChecksumType.NULL) // no checksums in cached data
      .withCompression(context.getCompression())
      .withDataBlockEncoding(context.getDataBlockEncoding())
      .withHBaseCheckSum(context.isUseHBaseChecksum()).withCompressTags(context.isCompressTags())
      .withIncludesMvcc(context.isIncludesMvcc()).withIncludesTags(context.isIncludesTags())
      .withColumnFamily(context.getColumnFamily()).withTableName(context.getTableName()).build();
    return newContext;
  }

  /**
   * Use one of these to keep a running account of cached blocks by file. Throw it away when done.
   * This is different than metrics in that it is stats on current state of a cache. See
   * getLoadedCachedBlocksByFile
   */
  public static class CachedBlocksByFile {
    private int count;
    private int dataBlockCount;
    private long size;
    private long dataSize;
    private final long now = System.nanoTime();
    /**
     * How many blocks to look at before we give up. There could be many millions of blocks. We
     * don't want the ui to freeze while we run through 1B blocks... users will think hbase dead. UI
     * displays warning in red when stats are incomplete.
     */
    private final int max;

    CachedBlocksByFile() {
      this(null);
    }

    CachedBlocksByFile(final Configuration c) {
      this.max = getMaxCachedBlocksByFile(c);
    }

    /**
     * Map by filename. use concurent utils because we want our Map and contained blocks sorted.
     */
    private transient NavigableMap<String, NavigableSet<CachedBlock>> cachedBlockByFile =
      new ConcurrentSkipListMap<>();
    FastLongHistogram hist = new FastLongHistogram();

    /** Returns True if full.... if we won't be adding any more. */
    public boolean update(final CachedBlock cb) {
      if (isFull()) return true;
      NavigableSet<CachedBlock> set = this.cachedBlockByFile.get(cb.getFilename());
      if (set == null) {
        set = new ConcurrentSkipListSet<>();
        this.cachedBlockByFile.put(cb.getFilename(), set);
      }
      set.add(cb);
      this.size += cb.getSize();
      this.count++;
      BlockType bt = cb.getBlockType();
      if (bt != null && bt.isData()) {
        this.dataBlockCount++;
        this.dataSize += cb.getSize();
      }
      long age = (this.now - cb.getCachedTime()) / NANOS_PER_SECOND;
      this.hist.add(age, 1);
      return false;
    }

    /**
     * @return True if full; i.e. there are more items in the cache but we only loaded up the
     *         maximum set in configuration <code>hbase.ui.blockcache.by.file.max</code> (Default:
     *         DEFAULT_MAX).
     */
    public boolean isFull() {
      return this.count >= this.max;
    }

    public NavigableMap<String, NavigableSet<CachedBlock>> getCachedBlockStatsByFile() {
      return this.cachedBlockByFile;
    }

    /** Returns count of blocks in the cache */
    public int getCount() {
      return count;
    }

    public int getDataCount() {
      return dataBlockCount;
    }

    /** Returns size of blocks in the cache */
    public long getSize() {
      return size;
    }

    /** Returns Size of data. */
    public long getDataSize() {
      return dataSize;
    }

    public AgeSnapshot getAgeInCacheSnapshot() {
      return new AgeSnapshot(this.hist);
    }

    @Override
    public String toString() {
      AgeSnapshot snapshot = getAgeInCacheSnapshot();
      return "count=" + count + ", dataBlockCount=" + dataBlockCount + ", size=" + size
        + ", dataSize=" + getDataSize() + ", mean age=" + snapshot.getMean() + ", min age="
        + snapshot.getMin() + ", max age=" + snapshot.getMax() + ", 75th percentile age="
        + snapshot.get75thPercentile() + ", 95th percentile age=" + snapshot.get95thPercentile()
        + ", 98th percentile age=" + snapshot.get98thPercentile() + ", 99th percentile age="
        + snapshot.get99thPercentile() + ", 99.9th percentile age=" + snapshot.get99thPercentile();
    }
  }
}