Kafka消息的磁盤存儲

  • 發送到Kafka的消息最終都是要落盤存儲到磁盤上;
  • 本章涉及到的類:
    1. OffsetIndex;
    2. LogSegment;

OffsetIndex類
  • 所在文件: core/src/main/scala/kafka/log/OffsetIndex.scala
  • 作用: 我們知道所有發送到kafka的消息都是以Record的結構(Kafka中Message存儲相關類大揭密)寫入到本地文件, 有寫就要有讀,讀取時一般是從給定的offset開始讀取,這個offset是邏輯offset, 需要轉換成文件的實際偏移量, 為了加速這個轉換, kafka針對每個log文件,提供了index文件, index文件采用稀疏索引的方式, 只記錄部分log offset到file position的轉換, 然后還需要在log文件中進行少量的順序遍歷, 來精確定位到需要的Record;
  • index文件結構: 文件里存的是一條條的log offset與file position的映射, 每條記錄8個字節,前4個字節是log offset, 后4個字節是file position, 這樣的每一條映射信息我們可以稱為是一個slot
  • 讀寫方式: 為了加速index文件的讀寫, 采用了文件內存映射的方式:
    /* initialize the memory mapping for this index */
    private var mmap: MappedByteBuffer = 
    {
      val newlyCreated = file.createNewFile()
      val raf = new RandomAccessFile(file, "rw")
      try {
        /* pre-allocate the file if necessary */
        if(newlyCreated) {
          if(maxIndexSize < 8)
            throw new IllegalArgumentException("Invalid max index size: " + maxIndexSize)
          raf.setLength(roundToExactMultiple(maxIndexSize, 8))
        }
          
        /* memory-map the file */
        val len = raf.length()
        val idx = raf.getChannel.map(FileChannel.MapMode.READ_WRITE, 0, len)
          
        /* set the position in the index for the next entry */
        if(newlyCreated)
          idx.position(0)
        else
          // if this is a pre-existing index, assume it is all valid and set position to last entry
          idx.position(roundToExactMultiple(idx.limit, 8))
        idx
      } finally {
        CoreUtils.swallow(raf.close())
      }
    }

  • 主要方法:
    1. def lookup(targetOffset: Long): OffsetPosition: 查找小于或等于targetOffset的最大Offset;
 maybeLock(lock) {
      val idx = mmap.duplicate
      val slot = indexSlotFor(idx, targetOffset)
      if(slot == -1)
        OffsetPosition(baseOffset, 0)
      else
        OffsetPosition(baseOffset + relativeOffset(idx, slot), physical(idx, slot))
      }
  1. private def indexSlotFor(idx: ByteBuffer, targetOffset: Long): Int:采用二分法查找到對于targetOffset在index文件中的slot
   // binary search for the entry 二分查找法
    var lo = 0
    var hi = entries-1
    while(lo < hi) {
      val mid = ceil(hi/2.0 + lo/2.0).toInt
      val found = relativeOffset(idx, mid)
      if(found == relOffset)
        return mid
      else if(found < relOffset)
        lo = mid
      else
        hi = mid - 1
    }
  1. def append(offset: Long, position: Int): 向index文件中追加一個offset/location的映射信息
  2. def truncateTo(offset: Long): 按給定的offset,找到對應的slot, 然后截斷
  3. def resize(newSize: Int): 重新設置index文件size, 但保持當前mmap的position不變
      inLock(lock) {
      val raf = new RandomAccessFile(file, "rw")
      val roundedNewSize = roundToExactMultiple(newSize, 8)
      val position = this.mmap.position
      
      /* Windows won't let us modify the file length while the file is mmapped :-( */
      if(Os.isWindows)
        forceUnmap(this.mmap)
      try {
        raf.setLength(roundedNewSize)
        this.mmap = raf.getChannel().map(FileChannel.MapMode.READ_WRITE, 0, roundedNewSize)
        this.maxEntries = this.mmap.limit / 8
        this.mmap.position(position)
      } finally {
        CoreUtils.swallow(raf.close())
      }
    }
LogSegment
  • 所在文件: core/src/main/scala/kafka/log/LogSegment.scala
  • 作用: 封裝對消息落地后的log和index文件的所有操作
  • 類定義:
      class LogSegment(val log: FileMessageSet, 
                 val index: OffsetIndex, 
                 val baseOffset: Long, 
                 val indexIntervalBytes: Int,
                 val rollJitterMs: Long,
                 time: Time) extends Loggin

可以看到使用FileMessageSet來操作Log文件, 使用OffsetIndex來操作Index文件

  • 主要方法:
    1. def size: Long = log.sizeInBytes() : 返回當前log文件的大小
    2. def append(offset: Long, messages: ByteBufferMessageSet):追加msg到log文件尾部,必要時更新index文件
 if (messages.sizeInBytes > 0) {
      // append an entry to the index (if needed)
      // index采用的是稀疏索引, 所以先判斷是否需要寫入
      if(bytesSinceLastIndexEntry > indexIntervalBytes) {
        index.append(offset, log.sizeInBytes())
        this.bytesSinceLastIndexEntry = 0
      }
      // append the messages
      log.append(messages)  //追加msg到log文件尾部
      this.bytesSinceLastIndexEntry += messages.sizeInBytes
    }
  1. def read(startOffset: Long, maxOffset: Option[Long], maxSize: Int, maxPosition: Long = size): FetchDataInfo: 根據給定的offset信息等讀取相應的msg 和offset信息,構成FetchDataInfo返回
 val offsetMetadata = new LogOffsetMetadata(startOffset, this.baseOffset, startPosition.position)

    // if the size is zero, still return a log segment but with zero size
    if(maxSize == 0)
      return FetchDataInfo(offsetMetadata, MessageSet.Empty)

    // calculate the length of the message set to read based on whether or not they gave us a maxOffset
    val length = 
      maxOffset match {
        case None =>
          // no max offset, just read until the max position
          min((maxPosition - startPosition.position).toInt, maxSize)
        case Some(offset) => {
          // there is a max offset, translate it to a file position and use that to calculate the max read size
          if(offset < startOffset)
            throw new IllegalArgumentException("Attempt to read with a maximum offset (%d) less than the start offset (%d).".format(offset, startOffset))
          val mapping = translateOffset(offset, startPosition.position)
          val endPosition = 
            if(mapping == null)
              logSize // the max offset is off the end of the log, use the end of the file
            else
              mapping.position
          min(min(maxPosition, endPosition) - startPosition.position, maxSize).toInt
        }
      }
    FetchDataInfo(offsetMetadata, log.read(startPosition.position, length))

實際上最終是調用FileMessageSetread方法讀取

  1. def recover(maxMessageSize: Int): Int :讀取當前的log文件內容,重新構建index文件
//逐條讀取log里的msg, 然后構建index文件
val iter = log.iterator(maxMessageSize)
   try {
     while(iter.hasNext) {
       val entry = iter.next
       entry.message.ensureValid()
       if(validBytes - lastIndexEntry > indexIntervalBytes) {
         // we need to decompress the message, if required, to get the offset of the first uncompressed message
         val startOffset =
           entry.message.compressionCodec match {
             case NoCompressionCodec =>
               entry.offset
             case _ =>
               ByteBufferMessageSet.deepIterator(entry.message).next().offset
         }
         index.append(startOffset, validBytes)
         lastIndexEntry = validBytes
       }
       validBytes += MessageSet.entrySize(entry.message)
     }
   } catch {
     case e: InvalidMessageException => 
       logger.warn("Found invalid messages in log segment %s at byte offset %d: %s.".format(log.file.getAbsolutePath, validBytes, e.getMessage))
   }
  1. def truncateTo(offset: Long): Int: 根據給定的offset截斷log和index文件
 val mapping = translateOffset(offset)
    if(mapping == null)
      return 0
    index.truncateTo(offset)
    // after truncation, reset and allocate more space for the (new currently  active) index
    index.resize(index.maxIndexSize)
    val bytesTruncated = log.truncateTo(mapping.position)
    if(log.sizeInBytes == 0)
      created = time.milliseconds
    bytesSinceLastIndexEntry = 0
    bytesTruncated
  1. def nextOffset(): Long : 獲取下一個offset值, 其實就是當前最大的offset + 1
val ms = read(index.lastOffset, None, log.sizeInBytes)
    if(ms == null) {
      baseOffset
    } else {
      ms.messageSet.lastOption match {
        case None => baseOffset
        case Some(last) => last.nextOffset
      }
    }

Kafka源碼分析-匯總

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