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Flume sink 相关内容

SinkRunner.java 开启线程调用相应的Processor(Policy) , 根据  Policy调用process的返回值来决定线程睡眠时间,每次默认延后1s,最大默认为5s。

public class SinkRunner implements LifecycleAware {

  private static final Logger logger = LoggerFactory
      .getLogger(SinkRunner.class);
  private static final long backoffSleepIncrement = 1000;
  private static final long maxBackoffSleep = 5000;
} @Override
public void start() { SinkProcessor policy = getPolicy(); policy.start(); runner = new PollingRunner(); runner.policy = policy; runner.counterGroup = counterGroup; runner.shouldStop = new AtomicBoolean(); runnerThread = new Thread(runner); runnerThread.setName("SinkRunner-PollingRunner-" + policy.getClass().getSimpleName()); runnerThread.start(); lifecycleState = LifecycleState.START; } public static class PollingRunner implements Runnable { private SinkProcessor policy; private AtomicBoolean shouldStop; private CounterGroup counterGroup; @Override public void run() { logger.debug("Polling sink runner starting"); while (!shouldStop.get()) { try { if (policy.process().equals(Sink.Status.BACKOFF)) { counterGroup.incrementAndGet("runner.backoffs"); Thread.sleep(Math.min( counterGroup.incrementAndGet("runner.backoffs.consecutive") * backoffSleepIncrement, maxBackoffSleep)); } else { counterGroup.set("runner.backoffs.consecutive", 0L); } } catch (InterruptedException e) { logger.debug("Interrupted while processing an event. Exiting."); counterGroup.incrementAndGet("runner.interruptions"); } catch (Exception e) { logger.error("Unable to deliver event. Exception follows.", e); if (e instanceof EventDeliveryException) { counterGroup.incrementAndGet("runner.deliveryErrors"); } else { counterGroup.incrementAndGet("runner.errors"); } try { Thread.sleep(maxBackoffSleep); } catch (InterruptedException ex) { Thread.currentThread().interrupt(); } } } logger.debug("Polling runner exiting. Metrics:{}", counterGroup); } }


HDFSEentSink.java      被SinkRunner 作为processor 使用,调用process来进行处理。维护一个bucketWriter的集合,根据event获得对应的BucketWriter.   并调用他们的append方法。

之后对所有的这次process过程中有任务的bucketWriter    即在writers集合中  遍历,调用他们的flush()。如果Event 数量小于1,那么会返回BACKOFF 状态。sinkRunner会对其进行相应的backoff操作,默认多睡眠1秒。

除此之外还要保证transaction的完整性(未深入阅读)

public Status process() throws EventDeliveryException {
    Channel channel = getChannel();
    Transaction transaction = channel.getTransaction();
    List<BucketWriter> writers = Lists.newArrayList();
    transaction.begin();
    try {
      int txnEventCount = 0;
      for (txnEventCount = 0; txnEventCount < batchSize; txnEventCount++) {
        Event event = channel.take();
        if (event == null) {
          break;
        }

        // reconstruct the path name by substituting place holders
        String realPath = BucketPath.escapeString(filePath, event.getHeaders(),
            timeZone, needRounding, roundUnit, roundValue, useLocalTime);
        String realName = BucketPath.escapeString(fileName, event.getHeaders(),
          timeZone, needRounding, roundUnit, roundValue, useLocalTime);

        String lookupPath = realPath + DIRECTORY_DELIMITER + realName;
        BucketWriter bucketWriter;
        HDFSWriter hdfsWriter = null;
        // Callback to remove the reference to the bucket writer from the
        // sfWriters map so that all buffers used by the HDFS file
        // handles are garbage collected.
        WriterCallback closeCallback = new WriterCallback() {
          @Override
          public void run(String bucketPath) {
            LOG.info("Writer callback called.");
            synchronized (sfWritersLock) {
              sfWriters.remove(bucketPath);
            }
          }
        };
        synchronized (sfWritersLock) {
          bucketWriter = sfWriters.get(lookupPath);
          // we haven‘t seen this file yet, so open it and cache the handle
          if (bucketWriter == null) {
            hdfsWriter = writerFactory.getWriter(fileType);
            bucketWriter = initializeBucketWriter(realPath, realName,
              lookupPath, hdfsWriter, closeCallback);
            sfWriters.put(lookupPath, bucketWriter);
          }
        }

        // track the buckets getting written in this transaction
        if (!writers.contains(bucketWriter)) {
          writers.add(bucketWriter);
        }

        // Write the data to HDFS
        try {
          bucketWriter.append(event);
        } catch (BucketClosedException ex) {
          LOG.info("Bucket was closed while trying to append, " +
            "reinitializing bucket and writing event.");
          hdfsWriter = writerFactory.getWriter(fileType);
          bucketWriter = initializeBucketWriter(realPath, realName,
            lookupPath, hdfsWriter, closeCallback);
          synchronized (sfWritersLock) {
            sfWriters.put(lookupPath, bucketWriter);
          }
          bucketWriter.append(event);
        }
      }

      if (txnEventCount == 0) {
        sinkCounter.incrementBatchEmptyCount();
      } else if (txnEventCount == batchSize) {
        sinkCounter.incrementBatchCompleteCount();
      } else {
        sinkCounter.incrementBatchUnderflowCount();
      }

      // flush all pending buckets before committing the transaction
      for (BucketWriter bucketWriter : writers) {
        bucketWriter.flush();
      }

      transaction.commit();

      if (txnEventCount < 1) {
        return Status.BACKOFF;
      } else {
        sinkCounter.addToEventDrainSuccessCount(txnEventCount);
        return Status.READY;
      }
    } catch (IOException eIO) {
      transaction.rollback();
      LOG.warn("HDFS IO error", eIO);
      return Status.BACKOFF;
    } catch (Throwable th) {
      transaction.rollback();
      LOG.error("process failed", th);
      if (th instanceof Error) {
        throw (Error) th;
      } else {
        throw new EventDeliveryException(th);
      }
    } finally {
      transaction.close();
    }
  }

BucketWriter.java 将对应的文件写到HDFS上,并负责监控是否应该进行rotate操作(count,size,time)等因素。只列出了append函数。

/**
   * Open file handles, write data, update stats, handle file rolling and
   * batching / flushing. <br />
   * If the write fails, the file is implicitly closed and then the IOException
   * is rethrown. <br />
   * We rotate before append, and not after, so that the active file rolling
   * mechanism will never roll an empty file. This also ensures that the file
   * creation time reflects when the first event was written.
   *
   * @throws IOException
   * @throws InterruptedException
   */
  public synchronized void append(final Event event)
          throws IOException, InterruptedException {
    checkAndThrowInterruptedException();
    // If idleFuture is not null, cancel it before we move forward to avoid a
    // close call in the middle of the append.
    if(idleFuture != null) {
      idleFuture.cancel(false);
      // There is still a small race condition - if the idleFuture is already
      // running, interrupting it can cause HDFS close operation to throw -
      // so we cannot interrupt it while running. If the future could not be
      // cancelled, it is already running - wait for it to finish before
      // attempting to write.
      if(!idleFuture.isDone()) {
        try {
          idleFuture.get(callTimeout, TimeUnit.MILLISECONDS);
        } catch (TimeoutException ex) {
          LOG.warn("Timeout while trying to cancel closing of idle file. Idle" +
            " file close may have failed", ex);
        } catch (Exception ex) {
          LOG.warn("Error while trying to cancel closing of idle file. ", ex);
        }
      }
      idleFuture = null;
    }

    // If the bucket writer was closed due to roll timeout or idle timeout,
    // force a new bucket writer to be created. Roll count and roll size will
    // just reuse this one
    if (!isOpen) {
      if (closed) {
        throw new BucketClosedException("This bucket writer was closed and " +
          "this handle is thus no longer valid");
      }
      open();
    }

    // check if it‘s time to rotate the file
    if (shouldRotate()) {
      boolean doRotate = true;

      if (isUnderReplicated) {
        if (maxConsecUnderReplRotations > 0 &&
            consecutiveUnderReplRotateCount >= maxConsecUnderReplRotations) {
          doRotate = false;
          if (consecutiveUnderReplRotateCount == maxConsecUnderReplRotations) {
            LOG.error("Hit max consecutive under-replication rotations ({}); " +
                "will not continue rolling files under this path due to " +
                "under-replication", maxConsecUnderReplRotations);
          }
        } else {
          LOG.warn("Block Under-replication detected. Rotating file.");
        }
        consecutiveUnderReplRotateCount++;
      } else {
        consecutiveUnderReplRotateCount = 0;
      }

      if (doRotate) {
        close();
        open();
      }
    }

    // write the event
    try {
      sinkCounter.incrementEventDrainAttemptCount();
      callWithTimeout(new CallRunner<Void>() {
        @Override
        public Void call() throws Exception {
          writer.append(event); // could block
          return null;
        }
      });
    } catch (IOException e) {
      LOG.warn("Caught IOException writing to HDFSWriter ({}). Closing file (" +
          bucketPath + ") and rethrowing exception.",
          e.getMessage());
      try {
        close(true);
      } catch (IOException e2) {
        LOG.warn("Caught IOException while closing file (" +
             bucketPath + "). Exception follows.", e2);
      }
      throw e;
    }

    // update statistics
    processSize += event.getBody().length;
    eventCounter++;
    batchCounter++;

    if (batchCounter == batchSize) {
      flush();
    }
  }