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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.hadoop.hbase.regionserver.wal;

import static org.apache.hadoop.hbase.regionserver.wal.WALActionsListener.RollRequestReason.ERROR;
import static org.apache.hadoop.hbase.regionserver.wal.WALActionsListener.RollRequestReason.SIZE;
import static org.apache.hadoop.hbase.util.FutureUtils.addListener;

import com.lmax.disruptor.RingBuffer;
import com.lmax.disruptor.Sequence;
import com.lmax.disruptor.Sequencer;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.ArrayDeque;
import java.util.Comparator;
import java.util.Deque;
import java.util.Iterator;
import java.util.List;
import java.util.Queue;
import java.util.SortedSet;
import java.util.TreeSet;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.function.Supplier;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.Abortable;
import org.apache.hadoop.hbase.HBaseInterfaceAudience;
import org.apache.hadoop.hbase.client.RegionInfo;
import org.apache.hadoop.hbase.io.asyncfs.AsyncFSOutput;
import org.apache.hadoop.hbase.io.asyncfs.monitor.StreamSlowMonitor;
import org.apache.hadoop.hbase.wal.AsyncFSWALProvider;
import org.apache.hadoop.hbase.wal.WALEdit;
import org.apache.hadoop.hbase.wal.WALKeyImpl;
import org.apache.hadoop.hbase.wal.WALProvider.AsyncWriter;
import org.apache.hadoop.hdfs.protocol.DatanodeInfo;
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.hbase.thirdparty.io.netty.channel.Channel;
import org.apache.hbase.thirdparty.io.netty.channel.EventLoop;
import org.apache.hbase.thirdparty.io.netty.channel.EventLoopGroup;
import org.apache.hbase.thirdparty.io.netty.util.concurrent.SingleThreadEventExecutor;

/**
 * An asynchronous implementation of FSWAL.
 * 

* Here 'waitingConsumePayloads' acts as the RingBuffer in FSHLog. *

* For append, we process it as follow: *

    *
  1. In the caller thread(typically, in the rpc handler thread): *
      *
    1. Insert the entry into 'waitingConsumePayloads'. Use ringbuffer sequence as txid.
    2. *
    3. Schedule the consumer task if needed. See {@link #shouldScheduleConsumer()} for more details. *
    4. *
    *
  2. *
  3. In the consumer task(executed in a single threaded thread pool) *
      *
    1. Poll the entry from {@link #waitingConsumePayloads} and insert it into * {@link #toWriteAppends}
    2. *
    3. Poll the entry from {@link #toWriteAppends}, append it to the AsyncWriter, and insert it into * {@link #unackedAppends}
    4. *
    5. If the buffered size reaches {@link #batchSize}, or there is a sync request, then we call * sync on the AsyncWriter.
    6. *
    7. In the callback methods: *
        *
      • If succeeded, poll the entry from {@link #unackedAppends} and drop it.
      • *
      • If failed, add all the entries in {@link #unackedAppends} back to {@link #toWriteAppends} and * wait for writing them again.
      • *
      *
    8. *
    *
  4. *
* For sync, the processing stages are almost same. And different from FSHLog, we will open a new * writer and rewrite unacked entries to the new writer and sync again if we hit a sync error. *

* Here we only describe the logic of doReplaceWriter. The main logic of rollWriter is same with * FSHLog.
* For a normal roll request(for example, we have reached the log roll size): *

    *
  1. In the log roller thread, we will set {@link #waitingRoll} to true and * {@link #readyForRolling} to false, and then wait on {@link #readyForRolling}(see * {@link #waitForSafePoint()}).
  2. *
  3. In the consumer thread, we will stop polling entries from {@link #waitingConsumePayloads} if * {@link #waitingRoll} is true, and also stop writing the entries in {@link #toWriteAppends} out. *
  4. *
  5. If there are unflush data in the writer, sync them.
  6. *
  7. When all out-going sync request is finished, i.e, the {@link #unackedAppends} is empty, * signal the {@link #readyForRollingCond}.
  8. *
  9. Back to the log roller thread, now we can confirm that there are no out-going entries, i.e., * we reach a safe point. So it is safe to replace old writer with new writer now.
  10. *
  11. Set {@link #writerBroken} and {@link #waitingRoll} to false.
  12. *
  13. Schedule the consumer task.
  14. *
  15. Schedule a background task to close the old writer.
  16. *
* For a broken writer roll request, the only difference is that we can bypass the wait for safe * point stage. */ @InterfaceAudience.LimitedPrivate(HBaseInterfaceAudience.CONFIG) public class AsyncFSWAL extends AbstractFSWAL { private static final Logger LOG = LoggerFactory.getLogger(AsyncFSWAL.class); private static final Comparator SEQ_COMPARATOR = Comparator.comparingLong(SyncFuture::getTxid).thenComparingInt(System::identityHashCode); public static final String WAL_BATCH_SIZE = "hbase.wal.batch.size"; public static final long DEFAULT_WAL_BATCH_SIZE = 64L * 1024; public static final String ASYNC_WAL_USE_SHARED_EVENT_LOOP = "hbase.wal.async.use-shared-event-loop"; public static final boolean DEFAULT_ASYNC_WAL_USE_SHARED_EVENT_LOOP = false; public static final String ASYNC_WAL_WAIT_ON_SHUTDOWN_IN_SECONDS = "hbase.wal.async.wait.on.shutdown.seconds"; public static final int DEFAULT_ASYNC_WAL_WAIT_ON_SHUTDOWN_IN_SECONDS = 5; private final EventLoopGroup eventLoopGroup; private final ExecutorService consumeExecutor; private final Class channelClass; private final Lock consumeLock = new ReentrantLock(); private final Runnable consumer = this::consume; // check if there is already a consumer task in the event loop's task queue private final Supplier hasConsumerTask; private static final int MAX_EPOCH = 0x3FFFFFFF; // the lowest bit is waitingRoll, which means new writer is created, and we are waiting for old // writer to be closed. // the second-lowest bit is writerBroken which means the current writer is broken and rollWriter // is needed. // all other bits are the epoch number of the current writer, this is used to detect whether the // writer is still the one when you issue the sync. // notice that, modification to this field is only allowed under the protection of consumeLock. private volatile int epochAndState; private boolean readyForRolling; private final Condition readyForRollingCond = consumeLock.newCondition(); private final RingBuffer waitingConsumePayloads; private final Sequence waitingConsumePayloadsGatingSequence; private final AtomicBoolean consumerScheduled = new AtomicBoolean(false); private final long batchSize; private volatile AsyncFSOutput fsOut; private final Deque toWriteAppends = new ArrayDeque<>(); private final Deque unackedAppends = new ArrayDeque<>(); private final SortedSet syncFutures = new TreeSet<>(SEQ_COMPARATOR); // the highest txid of WAL entries being processed private long highestProcessedAppendTxid; // file length when we issue last sync request on the writer private long fileLengthAtLastSync; private long highestProcessedAppendTxidAtLastSync; private final int waitOnShutdownInSeconds; private final StreamSlowMonitor streamSlowMonitor; public AsyncFSWAL(FileSystem fs, Path rootDir, String logDir, String archiveDir, Configuration conf, List listeners, boolean failIfWALExists, String prefix, String suffix, EventLoopGroup eventLoopGroup, Class channelClass) throws FailedLogCloseException, IOException { this(fs, null, rootDir, logDir, archiveDir, conf, listeners, failIfWALExists, prefix, suffix, eventLoopGroup, channelClass, StreamSlowMonitor.create(conf, "monitorForSuffix")); } public AsyncFSWAL(FileSystem fs, Abortable abortable, Path rootDir, String logDir, String archiveDir, Configuration conf, List listeners, boolean failIfWALExists, String prefix, String suffix, EventLoopGroup eventLoopGroup, Class channelClass, StreamSlowMonitor monitor) throws FailedLogCloseException, IOException { super(fs, abortable, rootDir, logDir, archiveDir, conf, listeners, failIfWALExists, prefix, suffix); this.eventLoopGroup = eventLoopGroup; this.channelClass = channelClass; this.streamSlowMonitor = monitor; Supplier hasConsumerTask; if (conf.getBoolean(ASYNC_WAL_USE_SHARED_EVENT_LOOP, DEFAULT_ASYNC_WAL_USE_SHARED_EVENT_LOOP)) { this.consumeExecutor = eventLoopGroup.next(); if (consumeExecutor instanceof SingleThreadEventExecutor) { try { Field field = SingleThreadEventExecutor.class.getDeclaredField("taskQueue"); field.setAccessible(true); Queue queue = (Queue) field.get(consumeExecutor); hasConsumerTask = () -> queue.peek() == consumer; } catch (Exception e) { LOG.warn("Can not get task queue of " + consumeExecutor + ", this is not necessary, just give up", e); hasConsumerTask = () -> false; } } else { hasConsumerTask = () -> false; } } else { ThreadPoolExecutor threadPool = new ThreadPoolExecutor(1, 1, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue(), new ThreadFactoryBuilder() .setNameFormat("AsyncFSWAL-%d-" + rootDir.toString()).setDaemon(true).build()); hasConsumerTask = () -> threadPool.getQueue().peek() == consumer; this.consumeExecutor = threadPool; } this.hasConsumerTask = hasConsumerTask; int preallocatedEventCount = conf.getInt("hbase.regionserver.wal.disruptor.event.count", 1024 * 16); waitingConsumePayloads = RingBuffer.createMultiProducer(RingBufferTruck::new, preallocatedEventCount); waitingConsumePayloadsGatingSequence = new Sequence(Sequencer.INITIAL_CURSOR_VALUE); waitingConsumePayloads.addGatingSequences(waitingConsumePayloadsGatingSequence); // inrease the ringbuffer sequence so our txid is start from 1 waitingConsumePayloads.publish(waitingConsumePayloads.next()); waitingConsumePayloadsGatingSequence.set(waitingConsumePayloads.getCursor()); batchSize = conf.getLong(WAL_BATCH_SIZE, DEFAULT_WAL_BATCH_SIZE); waitOnShutdownInSeconds = conf.getInt(ASYNC_WAL_WAIT_ON_SHUTDOWN_IN_SECONDS, DEFAULT_ASYNC_WAL_WAIT_ON_SHUTDOWN_IN_SECONDS); } /** * Helper that marks the future as DONE and offers it back to the cache. */ private void markFutureDoneAndOffer(SyncFuture future, long txid, Throwable t) { future.done(txid, t); syncFutureCache.offer(future); } private static boolean waitingRoll(int epochAndState) { return (epochAndState & 1) != 0; } private static boolean writerBroken(int epochAndState) { return ((epochAndState >>> 1) & 1) != 0; } private static int epoch(int epochAndState) { return epochAndState >>> 2; } // return whether we have successfully set readyForRolling to true. private boolean trySetReadyForRolling() { // Check without holding lock first. Usually we will just return here. // waitingRoll is volatile and unacedEntries is only accessed inside event loop, so it is safe // to check them outside the consumeLock. if (!waitingRoll(epochAndState) || !unackedAppends.isEmpty()) { return false; } consumeLock.lock(); try { // 1. a roll is requested // 2. all out-going entries have been acked(we have confirmed above). if (waitingRoll(epochAndState)) { readyForRolling = true; readyForRollingCond.signalAll(); return true; } else { return false; } } finally { consumeLock.unlock(); } } private void syncFailed(long epochWhenSync, Throwable error) { LOG.warn("sync failed", error); boolean shouldRequestLogRoll = true; consumeLock.lock(); try { int currentEpochAndState = epochAndState; if (epoch(currentEpochAndState) != epochWhenSync || writerBroken(currentEpochAndState)) { // this is not the previous writer which means we have already rolled the writer. // or this is still the current writer, but we have already marked it as broken and request // a roll. return; } this.epochAndState = currentEpochAndState | 0b10; if (waitingRoll(currentEpochAndState)) { readyForRolling = true; readyForRollingCond.signalAll(); // this means we have already in the middle of a rollWriter so just tell the roller thread // that you can continue without requesting an extra log roll. shouldRequestLogRoll = false; } } finally { consumeLock.unlock(); } for (Iterator iter = unackedAppends.descendingIterator(); iter.hasNext();) { toWriteAppends.addFirst(iter.next()); } highestUnsyncedTxid = highestSyncedTxid.get(); if (shouldRequestLogRoll) { // request a roll. requestLogRoll(ERROR); } } private void syncCompleted(long epochWhenSync, AsyncWriter writer, long processedTxid, long startTimeNs) { // Please see the last several comments on HBASE-22761, it is possible that we get a // syncCompleted which acks a previous sync request after we received a syncFailed on the same // writer. So here we will also check on the epoch and state, if the epoch has already been // changed, i.e, we have already rolled the writer, or the writer is already broken, we should // just skip here, to avoid mess up the state or accidentally release some WAL entries and // cause data corruption. // The syncCompleted call is on the critical write path, so we should try our best to make it // fast. So here we do not hold consumeLock, for increasing performance. It is safe because // there are only 3 possible situations: // 1. For normal case, the only place where we change epochAndState is when rolling the writer. // Before rolling actually happen, we will only change the state to waitingRoll which is another // bit than writerBroken, and when we actually change the epoch, we can make sure that there is // no outgoing sync request. So we will always pass the check here and there is no problem. // 2. The writer is broken, but we have not called syncFailed yet. In this case, since // syncFailed and syncCompleted are executed in the same thread, we will just face the same // situation with #1. // 3. The writer is broken, and syncFailed has been called. Then when we arrive here, there are // only 2 possible situations: // a. we arrive before we actually roll the writer, then we will find out the writer is broken // and give up. // b. we arrive after we actually roll the writer, then we will find out the epoch is changed // and give up. // For both #a and #b, we do not need to hold the consumeLock as we will always update the // epochAndState as a whole. // So in general, for all the cases above, we do not need to hold the consumeLock. int epochAndState = this.epochAndState; if (epoch(epochAndState) != epochWhenSync || writerBroken(epochAndState)) { LOG.warn("Got a sync complete call after the writer is broken, skip"); return; } highestSyncedTxid.set(processedTxid); for (Iterator iter = unackedAppends.iterator(); iter.hasNext();) { FSWALEntry entry = iter.next(); if (entry.getTxid() <= processedTxid) { entry.release(); iter.remove(); } else { break; } } postSync(System.nanoTime() - startTimeNs, finishSync()); if (trySetReadyForRolling()) { // we have just finished a roll, then do not need to check for log rolling, the writer will be // closed soon. return; } // If we haven't already requested a roll, check if we have exceeded logrollsize if (!isLogRollRequested() && writer.getLength() > logrollsize) { if (LOG.isDebugEnabled()) { LOG.debug("Requesting log roll because of file size threshold; length=" + writer.getLength() + ", logrollsize=" + logrollsize); } requestLogRoll(SIZE); } } // find all the sync futures between these two txids to see if we need to issue a hsync, if no // sync futures then just use the default one. private boolean isHsync(long beginTxid, long endTxid) { SortedSet futures = syncFutures.subSet(new SyncFuture().reset(beginTxid, false), new SyncFuture().reset(endTxid + 1, false)); if (futures.isEmpty()) { return useHsync; } for (SyncFuture future : futures) { if (future.isForceSync()) { return true; } } return false; } private void sync(AsyncWriter writer) { fileLengthAtLastSync = writer.getLength(); long currentHighestProcessedAppendTxid = highestProcessedAppendTxid; boolean shouldUseHsync = isHsync(highestProcessedAppendTxidAtLastSync, currentHighestProcessedAppendTxid); highestProcessedAppendTxidAtLastSync = currentHighestProcessedAppendTxid; final long startTimeNs = System.nanoTime(); final long epoch = (long) epochAndState >>> 2L; addListener(writer.sync(shouldUseHsync), (result, error) -> { if (error != null) { syncFailed(epoch, error); } else { syncCompleted(epoch, writer, currentHighestProcessedAppendTxid, startTimeNs); } }, consumeExecutor); } private int finishSyncLowerThanTxid(long txid) { int finished = 0; for (Iterator iter = syncFutures.iterator(); iter.hasNext();) { SyncFuture sync = iter.next(); if (sync.getTxid() <= txid) { markFutureDoneAndOffer(sync, txid, null); iter.remove(); finished++; } else { break; } } return finished; } // try advancing the highestSyncedTxid as much as possible private int finishSync() { if (unackedAppends.isEmpty()) { // All outstanding appends have been acked. if (toWriteAppends.isEmpty()) { // Also no appends that wait to be written out, then just finished all pending syncs. long maxSyncTxid = highestSyncedTxid.get(); for (SyncFuture sync : syncFutures) { maxSyncTxid = Math.max(maxSyncTxid, sync.getTxid()); sync.done(maxSyncTxid, null); } highestSyncedTxid.set(maxSyncTxid); int finished = syncFutures.size(); syncFutures.clear(); return finished; } else { // There is no append between highestProcessedAppendTxid and lowestUnprocessedAppendTxid, so // if highestSyncedTxid >= highestProcessedAppendTxid, then all syncs whose txid are between // highestProcessedAppendTxid and lowestUnprocessedAppendTxid can be finished. long lowestUnprocessedAppendTxid = toWriteAppends.peek().getTxid(); assert lowestUnprocessedAppendTxid > highestProcessedAppendTxid; long doneTxid = lowestUnprocessedAppendTxid - 1; highestSyncedTxid.set(doneTxid); return finishSyncLowerThanTxid(doneTxid); } } else { // There are still unacked appends. So let's move the highestSyncedTxid to the txid of the // first unacked append minus 1. long lowestUnackedAppendTxid = unackedAppends.peek().getTxid(); long doneTxid = Math.max(lowestUnackedAppendTxid - 1, highestSyncedTxid.get()); highestSyncedTxid.set(doneTxid); return finishSyncLowerThanTxid(doneTxid); } } // confirm non-empty before calling private static long getLastTxid(Deque queue) { return queue.peekLast().getTxid(); } private void appendAndSync() { final AsyncWriter writer = this.writer; // maybe a sync request is not queued when we issue a sync, so check here to see if we could // finish some. finishSync(); long newHighestProcessedAppendTxid = -1L; // this is used to avoid calling peedLast every time on unackedAppends, appendAndAsync is single // threaded, this could save us some cycles boolean addedToUnackedAppends = false; for (Iterator iter = toWriteAppends.iterator(); iter.hasNext();) { FSWALEntry entry = iter.next(); boolean appended; try { appended = appendEntry(writer, entry); } catch (IOException e) { throw new AssertionError("should not happen", e); } newHighestProcessedAppendTxid = entry.getTxid(); iter.remove(); if (appended) { // This is possible, when we fail to sync, we will add the unackedAppends back to // toWriteAppends, so here we may get an entry which is already in the unackedAppends. if ( addedToUnackedAppends || unackedAppends.isEmpty() || getLastTxid(unackedAppends) < entry.getTxid() ) { unackedAppends.addLast(entry); addedToUnackedAppends = true; } // See HBASE-25905, here we need to make sure that, we will always write all the entries in // unackedAppends out. As the code in the consume method will assume that, the entries in // unackedAppends have all been sent out so if there is roll request and unackedAppends is // not empty, we could just return as later there will be a syncCompleted call to clear the // unackedAppends, or a syncFailed to lead us to another state. // There could be other ways to fix, such as changing the logic in the consume method, but // it will break the assumption and then (may) lead to a big refactoring. So here let's use // this way to fix first, can optimize later. if ( writer.getLength() - fileLengthAtLastSync >= batchSize && (addedToUnackedAppends || entry.getTxid() >= getLastTxid(unackedAppends)) ) { break; } } } // if we have a newer transaction id, update it. // otherwise, use the previous transaction id. if (newHighestProcessedAppendTxid > 0) { highestProcessedAppendTxid = newHighestProcessedAppendTxid; } else { newHighestProcessedAppendTxid = highestProcessedAppendTxid; } if (writer.getLength() - fileLengthAtLastSync >= batchSize) { // sync because buffer size limit. sync(writer); return; } if (writer.getLength() == fileLengthAtLastSync) { // we haven't written anything out, just advance the highestSyncedSequence since we may only // stamp some region sequence id. if (unackedAppends.isEmpty()) { highestSyncedTxid.set(highestProcessedAppendTxid); finishSync(); trySetReadyForRolling(); } return; } // reach here means that we have some unsynced data but haven't reached the batch size yet, // but we will not issue a sync directly here even if there are sync requests because we may // have some new data in the ringbuffer, so let's just return here and delay the decision of // whether to issue a sync in the caller method. } private void consume() { consumeLock.lock(); try { int currentEpochAndState = epochAndState; if (writerBroken(currentEpochAndState)) { return; } if (waitingRoll(currentEpochAndState)) { if (writer.getLength() > fileLengthAtLastSync) { // issue a sync sync(writer); } else { if (unackedAppends.isEmpty()) { readyForRolling = true; readyForRollingCond.signalAll(); } } return; } } finally { consumeLock.unlock(); } long nextCursor = waitingConsumePayloadsGatingSequence.get() + 1; for (long cursorBound = waitingConsumePayloads.getCursor(); nextCursor <= cursorBound; nextCursor++) { if (!waitingConsumePayloads.isPublished(nextCursor)) { break; } RingBufferTruck truck = waitingConsumePayloads.get(nextCursor); switch (truck.type()) { case APPEND: toWriteAppends.addLast(truck.unloadAppend()); break; case SYNC: syncFutures.add(truck.unloadSync()); break; default: LOG.warn("RingBufferTruck with unexpected type: " + truck.type()); break; } waitingConsumePayloadsGatingSequence.set(nextCursor); } appendAndSync(); if (hasConsumerTask.get()) { return; } if (toWriteAppends.isEmpty()) { if (waitingConsumePayloadsGatingSequence.get() == waitingConsumePayloads.getCursor()) { consumerScheduled.set(false); // recheck here since in append and sync we do not hold the consumeLock. Thing may // happen like // 1. we check cursor, no new entry // 2. someone publishes a new entry to ringbuffer and the consumerScheduled is true and // give up scheduling the consumer task. // 3. we set consumerScheduled to false and also give up scheduling consumer task. if (waitingConsumePayloadsGatingSequence.get() == waitingConsumePayloads.getCursor()) { // we will give up consuming so if there are some unsynced data we need to issue a sync. if ( writer.getLength() > fileLengthAtLastSync && !syncFutures.isEmpty() && syncFutures.last().getTxid() > highestProcessedAppendTxidAtLastSync ) { // no new data in the ringbuffer and we have at least one sync request sync(writer); } return; } else { // maybe someone has grabbed this before us if (!consumerScheduled.compareAndSet(false, true)) { return; } } } } // reschedule if we still have something to write. consumeExecutor.execute(consumer); } private boolean shouldScheduleConsumer() { int currentEpochAndState = epochAndState; if (writerBroken(currentEpochAndState) || waitingRoll(currentEpochAndState)) { return false; } return consumerScheduled.compareAndSet(false, true); } @Override protected long append(RegionInfo hri, WALKeyImpl key, WALEdit edits, boolean inMemstore) throws IOException { long txid = stampSequenceIdAndPublishToRingBuffer(hri, key, edits, inMemstore, waitingConsumePayloads); if (shouldScheduleConsumer()) { consumeExecutor.execute(consumer); } return txid; } @Override protected void doSync(boolean forceSync) throws IOException { long txid = waitingConsumePayloads.next(); SyncFuture future; try { future = getSyncFuture(txid, forceSync); RingBufferTruck truck = waitingConsumePayloads.get(txid); truck.load(future); } finally { waitingConsumePayloads.publish(txid); } if (shouldScheduleConsumer()) { consumeExecutor.execute(consumer); } blockOnSync(future); } @Override protected void doSync(long txid, boolean forceSync) throws IOException { if (highestSyncedTxid.get() >= txid) { return; } // here we do not use ring buffer sequence as txid long sequence = waitingConsumePayloads.next(); SyncFuture future; try { future = getSyncFuture(txid, forceSync); RingBufferTruck truck = waitingConsumePayloads.get(sequence); truck.load(future); } finally { waitingConsumePayloads.publish(sequence); } if (shouldScheduleConsumer()) { consumeExecutor.execute(consumer); } blockOnSync(future); } @Override protected AsyncWriter createWriterInstance(Path path) throws IOException { return AsyncFSWALProvider.createAsyncWriter(conf, fs, path, false, this.blocksize, eventLoopGroup, channelClass, streamSlowMonitor); } private void waitForSafePoint() { consumeLock.lock(); try { int currentEpochAndState = epochAndState; if (writerBroken(currentEpochAndState) || this.writer == null) { return; } consumerScheduled.set(true); epochAndState = currentEpochAndState | 1; readyForRolling = false; consumeExecutor.execute(consumer); while (!readyForRolling) { readyForRollingCond.awaitUninterruptibly(); } } finally { consumeLock.unlock(); } } private void closeWriter(AsyncWriter writer, Path path) { inflightWALClosures.put(path.getName(), writer); closeExecutor.execute(() -> { try { writer.close(); } catch (IOException e) { LOG.warn("close old writer failed", e); } finally { // call this even if the above close fails, as there is no other chance we can set closed to // true, it will not cause big problems. markClosedAndClean(path); inflightWALClosures.remove(path.getName()); } }); } @Override protected void doReplaceWriter(Path oldPath, Path newPath, AsyncWriter nextWriter) throws IOException { Preconditions.checkNotNull(nextWriter); waitForSafePoint(); // we will call rollWriter in init method, where we want to create the first writer and // obviously the previous writer is null, so here we need this null check. And why we must call // logRollAndSetupWalProps before closeWriter is that, we will call markClosedAndClean after // closing the writer asynchronously, we need to make sure the WALProps is put into // walFile2Props before we call markClosedAndClean if (writer != null) { long oldFileLen = writer.getLength(); logRollAndSetupWalProps(oldPath, newPath, oldFileLen); closeWriter(writer, oldPath); } else { logRollAndSetupWalProps(oldPath, newPath, 0); } this.writer = nextWriter; if (nextWriter instanceof AsyncProtobufLogWriter) { this.fsOut = ((AsyncProtobufLogWriter) nextWriter).getOutput(); } this.fileLengthAtLastSync = nextWriter.getLength(); this.highestProcessedAppendTxidAtLastSync = 0L; consumeLock.lock(); try { consumerScheduled.set(true); int currentEpoch = epochAndState >>> 2; int nextEpoch = currentEpoch == MAX_EPOCH ? 0 : currentEpoch + 1; // set a new epoch and also clear waitingRoll and writerBroken this.epochAndState = nextEpoch << 2; // Reset rollRequested status rollRequested.set(false); consumeExecutor.execute(consumer); } finally { consumeLock.unlock(); } } @Override protected void doShutdown() throws IOException { waitForSafePoint(); closeWriter(this.writer, getOldPath()); this.writer = null; closeExecutor.shutdown(); try { if (!closeExecutor.awaitTermination(waitOnShutdownInSeconds, TimeUnit.SECONDS)) { LOG.error("We have waited " + waitOnShutdownInSeconds + " seconds but" + " the close of async writer doesn't complete." + "Please check the status of underlying filesystem" + " or increase the wait time by the config \"" + ASYNC_WAL_WAIT_ON_SHUTDOWN_IN_SECONDS + "\""); } } catch (InterruptedException e) { LOG.error("The wait for close of async writer is interrupted"); Thread.currentThread().interrupt(); } IOException error = new IOException("WAL has been closed"); long nextCursor = waitingConsumePayloadsGatingSequence.get() + 1; // drain all the pending sync requests for (long cursorBound = waitingConsumePayloads.getCursor(); nextCursor <= cursorBound; nextCursor++) { if (!waitingConsumePayloads.isPublished(nextCursor)) { break; } RingBufferTruck truck = waitingConsumePayloads.get(nextCursor); switch (truck.type()) { case SYNC: syncFutures.add(truck.unloadSync()); break; default: break; } } // and fail them syncFutures.forEach(f -> markFutureDoneAndOffer(f, f.getTxid(), error)); if (!(consumeExecutor instanceof EventLoop)) { consumeExecutor.shutdown(); } } @Override protected void doAppend(AsyncWriter writer, FSWALEntry entry) { writer.append(entry); } @Override DatanodeInfo[] getPipeline() { AsyncFSOutput output = this.fsOut; return output != null ? output.getPipeline() : new DatanodeInfo[0]; } @Override int getLogReplication() { return getPipeline().length; } @Override protected boolean doCheckLogLowReplication() { // not like FSHLog, AsyncFSOutput will fail immediately if there are errors writing to DNs, so // typically there is no 'low replication' state, only a 'broken' state. AsyncFSOutput output = this.fsOut; return output != null && output.isBroken(); } }




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