聊聊storm的ack机制

亦凉 2021-04-25 15:43 534阅读 0赞

## 序 ##

本文主要研究一下storm的ack机制  
![3045140093-5bcc6a68ce712_articlex][]

## 实例 ##

### SentenceSpout ###

public class AckSentenceSpout extends BaseRichSpout {
    
        private ConcurrentHashMap<UUID, Values> pending;
    
        private SpoutOutputCollector collector;
    
        private int index = 0;
    
        private String[] sentences = {
                "my dog has fleas",
                "i like cold beverages",
                "the dog ate my homework",
                "don't have a cow man",
                "i don't think i like fleas"
        };
    
        @Override
        public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
            this.collector = collector;
            this.pending = new ConcurrentHashMap<UUID, Values>();
        }
    
        @Override
        public void nextTuple() {
            Values values = new Values(sentences[index]);
            UUID msgId = UUID.randomUUID();
            this.pending.put(msgId, values);
    //        this.collector.emit(values);
            //NOTE 这里要传入msgId
            this.collector.emit(values, msgId);
            index++;
            if (index >= sentences.length) {
                index = 0;
            }
            Utils.sleep(100);
        }
    
        @Override
        public void declareOutputFields(OutputFieldsDeclarer declarer) {
            declarer.declare(new Fields("sentence"));
        }
    
        @Override
        public void ack(Object msgId) {
            this.pending.remove(msgId);
        }
    
        //NOTE 对于ack是失败的，要重新发送
        @Override
        public void fail(Object msgId) {
            this.collector.emit(this.pending.get(msgId), msgId);
        }
    }

*  对spout来说，需要在emit的时候要指定msgId，然后需要缓存数据，在ack时删除，在fail的时候重新发送进行重试

### AckWordCountBolt ###

public class AckWordCountBolt extends BaseRichBolt {
        private static final Logger LOGGER = LoggerFactory.getLogger(AckWordCountBolt.class);
        private OutputCollector collector;
        private HashMap<String, Long> counts = null;
    
        public void prepare(Map config, TopologyContext context, OutputCollector collector) {
            this.collector = collector;
            this.counts = new HashMap<String, Long>();
        }
    
        public void execute(Tuple tuple) {
            try{
                String word = tuple.getStringByField("word");
                Long count = this.counts.get(word);
                if(count == null){
                    count = 0L;
                }
                count++;
                this.counts.put(word, count);
    
                //NOTE 传入当前处理的tuple作为anchor
                this.collector.emit(tuple, new Values(word, count));
    
                //NOTE 这里要自己ack
                this.collector.ack(tuple);
            }catch (Exception e){
                LOGGER.error(e.getMessage(),e);
                //NOTE 处理异常要fail
                this.collector.fail(tuple);
            }
        }
    
        public void declareOutputFields(OutputFieldsDeclarer declarer) {
            declarer.declare(new Fields("word", "count"));
        }
    }

*  对于bolt来说，要做两件事情，一是要anchor，在emit的时候把输入及输出tuple连接起来，构建tuple tree；而要对处理完的tuple进行ack，失败进行fail操作

## 源码解析 ##

### SpoutOutputCollectorImpl.emit ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/executor/spout/SpoutOutputCollectorImpl.java

@Override
        public List<Integer> emit(String streamId, List<Object> tuple, Object messageId) {
            try {
                return sendSpoutMsg(streamId, tuple, messageId, null);
            } catch (InterruptedException e) {
                LOG.warn("Spout thread interrupted during emit().");
                throw new RuntimeException(e);
            }
        }
    
        private List<Integer> sendSpoutMsg(String stream, List<Object> values, Object messageId, Integer outTaskId) throws
            InterruptedException {
            emittedCount.increment();
    
            List<Integer> outTasks;
            if (outTaskId != null) {
                outTasks = taskData.getOutgoingTasks(outTaskId, stream, values);
            } else {
                outTasks = taskData.getOutgoingTasks(stream, values);
            }
    
            final boolean needAck = (messageId != null) && hasAckers;
    
            final List<Long> ackSeq = needAck ? new ArrayList<>() : null;
    
            final long rootId = needAck ? MessageId.generateId(random) : 0;
    
            for (int i = 0; i < outTasks.size(); i++) { // perf critical path. don't use iterators.
                Integer t = outTasks.get(i);
                MessageId msgId;
                if (needAck) {
                    long as = MessageId.generateId(random);
                    msgId = MessageId.makeRootId(rootId, as);
                    ackSeq.add(as);
                } else {
                    msgId = MessageId.makeUnanchored();
                }
    
                final TupleImpl tuple =
                    new TupleImpl(executor.getWorkerTopologyContext(), values, executor.getComponentId(), this.taskId, stream, msgId);
                AddressedTuple adrTuple = new AddressedTuple(t, tuple);
                executor.getExecutorTransfer().tryTransfer(adrTuple, executor.getPendingEmits());
            }
            if (isEventLoggers) {
                taskData.sendToEventLogger(executor, values, executor.getComponentId(), messageId, random, executor.getPendingEmits());
            }
    
            if (needAck) {
                boolean sample = executor.samplerCheck();
                TupleInfo info = new TupleInfo();
                info.setTaskId(this.taskId);
                info.setStream(stream);
                info.setMessageId(messageId);
                if (isDebug) {
                    info.setValues(values);
                }
                if (sample) {
                    info.setTimestamp(System.currentTimeMillis());
                }
    
                pending.put(rootId, info);
                List<Object> ackInitTuple = new Values(rootId, Utils.bitXorVals(ackSeq), this.taskId);
                taskData.sendUnanchored(Acker.ACKER_INIT_STREAM_ID, ackInitTuple, executor.getExecutorTransfer(), executor.getPendingEmits());
            } else if (messageId != null) {
                // Reusing TupleInfo object as we directly call executor.ackSpoutMsg() & are not sending msgs. perf critical
                if (isDebug) {
                    if (spoutExecutorThdId != Thread.currentThread().getId()) {
                        throw new RuntimeException("Detected background thread emitting tuples for the spout. " +
                                                   "Spout Output Collector should only emit from the main spout executor thread.");
                    }
                }
                globalTupleInfo.clear();
                globalTupleInfo.setStream(stream);
                globalTupleInfo.setValues(values);
                globalTupleInfo.setMessageId(messageId);
                globalTupleInfo.setTimestamp(0);
                globalTupleInfo.setId("0:");
                Long timeDelta = 0L;
                executor.ackSpoutMsg(executor, taskData, timeDelta, globalTupleInfo);
            }
            return outTasks;
        }

*  对于needAck的，首先创建rootId，然后调用ackSeq.add(as)，之后触发taskData.sendUnanchored(Acker.ACKER\_INIT\_STREAM\_ID, ackInitTuple, executor.getExecutorTransfer(), executor.getPendingEmits())操作

### BoltOutputCollectorImpl.ack&fail ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/executor/bolt/BoltOutputCollectorImpl.java

@Override
        public void ack(Tuple input) {
            if (!ackingEnabled) {
                return;
            }
            long ackValue = ((TupleImpl) input).getAckVal();
            Map<Long, Long> anchorsToIds = input.getMessageId().getAnchorsToIds();
            for (Map.Entry<Long, Long> entry : anchorsToIds.entrySet()) {
                task.sendUnanchored(Acker.ACKER_ACK_STREAM_ID,
                                    new Values(entry.getKey(), Utils.bitXor(entry.getValue(), ackValue)),
                                    executor.getExecutorTransfer(), executor.getPendingEmits());
            }
            long delta = tupleTimeDelta((TupleImpl) input);
            if (isDebug) {
                LOG.info("BOLT ack TASK: {} TIME: {} TUPLE: {}", taskId, delta, input);
            }
    
            if (!task.getUserContext().getHooks().isEmpty()) {
                BoltAckInfo boltAckInfo = new BoltAckInfo(input, taskId, delta);
                boltAckInfo.applyOn(task.getUserContext());
            }
            if (delta >= 0) {
                executor.getStats().boltAckedTuple(input.getSourceComponent(), input.getSourceStreamId(), delta,
                                                   task.getTaskMetrics().getAcked(input.getSourceStreamId()));
            }
        }
    
        @Override
        public void fail(Tuple input) {
            if (!ackingEnabled) {
                return;
            }
            Set<Long> roots = input.getMessageId().getAnchors();
            for (Long root : roots) {
                task.sendUnanchored(Acker.ACKER_FAIL_STREAM_ID,
                                    new Values(root), executor.getExecutorTransfer(), executor.getPendingEmits());
            }
            long delta = tupleTimeDelta((TupleImpl) input);
            if (isDebug) {
                LOG.info("BOLT fail TASK: {} TIME: {} TUPLE: {}", taskId, delta, input);
            }
            BoltFailInfo boltFailInfo = new BoltFailInfo(input, taskId, delta);
            boltFailInfo.applyOn(task.getUserContext());
            if (delta >= 0) {
                executor.getStats().boltFailedTuple(input.getSourceComponent(), input.getSourceStreamId(), delta,
                                                    task.getTaskMetrics().getFailed(input.getSourceStreamId()));
            }
        }

*  BoltOutputCollectorImpl的ack及fail均是调用task.sendUnanchored操作
 *  ack发送到Acker.ACKER\_ACK\_STREAM\_ID，fail发送到Acker.ACKER\_FAIL\_STREAM\_ID

### Task.sendUnanchored ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/daemon/Task.java

// Non Blocking call. If cannot emit to destination immediately, such tuples will be added to `pendingEmits` argument
        public void sendUnanchored(String stream, List<Object> values, ExecutorTransfer transfer, Queue<AddressedTuple> pendingEmits) {
            Tuple tuple = getTuple(stream, values);
            List<Integer> tasks = getOutgoingTasks(stream, values);
            for (Integer t : tasks) {
                AddressedTuple addressedTuple = new AddressedTuple(t, tuple);
                transfer.tryTransfer(addressedTuple, pendingEmits);
            }
        }

*  这里调用了ExecutorTransfer.tryTransfer

### ExecutorTransfer.tryTransfer ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/executor/ExecutorTransfer.java

// adds addressedTuple to destination Q if it is not full. else adds to pendingEmits (if its not null)
        public boolean tryTransfer(AddressedTuple addressedTuple, Queue<AddressedTuple> pendingEmits) {
            if (isDebug) {
                LOG.info("TRANSFERRING tuple {}", addressedTuple);
            }
    
            JCQueue localQueue = getLocalQueue(addressedTuple);
            if (localQueue != null) {
                return tryTransferLocal(addressedTuple, localQueue, pendingEmits);
            }
            return workerData.tryTransferRemote(addressedTuple, pendingEmits, serializer);
        }
    
        /**
         * Adds tuple to localQueue (if overflow is empty). If localQueue is full adds to pendingEmits instead. pendingEmits can be null.
         * Returns false if unable to add to localQueue.
         */
        public boolean tryTransferLocal(AddressedTuple tuple, JCQueue localQueue, Queue<AddressedTuple> pendingEmits) {
            workerData.checkSerialize(serializer, tuple);
            if (pendingEmits != null) {
                if (pendingEmits.isEmpty() && localQueue.tryPublish(tuple)) {
                    queuesToFlush.set(tuple.dest - indexingBase, localQueue);
                    return true;
                } else {
                    pendingEmits.add(tuple);
                    return false;
                }
            } else {
                return localQueue.tryPublish(tuple);
            }
        }

*  这里先根据addressedTuple判断目标队列是否是本地，是的话，调用tryTransferLocal；不是的话，则调用workerData.tryTransferRemote
 *  tryTransferLocal操作，执行的localQueue.tryPublish，就是将数据放到JCQueue的recvQueue队列中
 *  workerData.tryTransferRemote的话，是通过WorkerTransfer将数据放到TransferDrainer，在flush的时候传输到远程的node节点

### StormCommon.systemTopology ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/daemon/StormCommon.java

public static StormTopology systemTopology(Map<String, Object> topoConf, StormTopology topology) throws InvalidTopologyException {
            return _instance.systemTopologyImpl(topoConf, topology);
        }
    
        protected StormTopology systemTopologyImpl(Map<String, Object> topoConf, StormTopology topology) throws InvalidTopologyException {
            validateBasic(topology);
    
            StormTopology ret = topology.deepCopy();
            addAcker(topoConf, ret);
            if (hasEventLoggers(topoConf)) {
                addEventLogger(topoConf, ret);
            }
            addMetricComponents(topoConf, ret);
            addSystemComponents(topoConf, ret);
            addMetricStreams(ret);
            addSystemStreams(ret);
    
            validateStructure(ret);
    
            return ret;
        }
    
        public static void addAcker(Map<String, Object> conf, StormTopology topology) {
            int ackerNum =
                ObjectReader.getInt(conf.get(Config.TOPOLOGY_ACKER_EXECUTORS), ObjectReader.getInt(conf.get(Config.TOPOLOGY_WORKERS)));
            Map<GlobalStreamId, Grouping> inputs = ackerInputs(topology);
    
            Map<String, StreamInfo> outputStreams = new HashMap<String, StreamInfo>();
            outputStreams.put(Acker.ACKER_ACK_STREAM_ID, Thrift.directOutputFields(Arrays.asList("id", "time-delta-ms")));
            outputStreams.put(Acker.ACKER_FAIL_STREAM_ID, Thrift.directOutputFields(Arrays.asList("id", "time-delta-ms")));
            outputStreams.put(Acker.ACKER_RESET_TIMEOUT_STREAM_ID, Thrift.directOutputFields(Arrays.asList("id", "time-delta-ms")));
    
            Map<String, Object> ackerConf = new HashMap<>();
            ackerConf.put(Config.TOPOLOGY_TASKS, ackerNum);
            ackerConf.put(Config.TOPOLOGY_TICK_TUPLE_FREQ_SECS, ObjectReader.getInt(conf.get(Config.TOPOLOGY_MESSAGE_TIMEOUT_SECS)));
    
            Bolt acker = Thrift.prepareSerializedBoltDetails(inputs, makeAckerBolt(), outputStreams, ackerNum, ackerConf);
    
            for (Bolt bolt : topology.get_bolts().values()) {
                ComponentCommon common = bolt.get_common();
                common.put_to_streams(Acker.ACKER_ACK_STREAM_ID, Thrift.outputFields(Arrays.asList("id", "ack-val")));
                common.put_to_streams(Acker.ACKER_FAIL_STREAM_ID, Thrift.outputFields(Arrays.asList("id")));
                common.put_to_streams(Acker.ACKER_RESET_TIMEOUT_STREAM_ID, Thrift.outputFields(Arrays.asList("id")));
            }
    
            for (SpoutSpec spout : topology.get_spouts().values()) {
                ComponentCommon common = spout.get_common();
                Map<String, Object> spoutConf = componentConf(spout);
                spoutConf.put(Config.TOPOLOGY_TICK_TUPLE_FREQ_SECS,
                              ObjectReader.getInt(conf.get(Config.TOPOLOGY_MESSAGE_TIMEOUT_SECS)));
                common.set_json_conf(JSONValue.toJSONString(spoutConf));
                common.put_to_streams(Acker.ACKER_INIT_STREAM_ID,
                                      Thrift.outputFields(Arrays.asList("id", "init-val", "spout-task")));
                common.put_to_inputs(Utils.getGlobalStreamId(Acker.ACKER_COMPONENT_ID, Acker.ACKER_ACK_STREAM_ID),
                                     Thrift.prepareDirectGrouping());
                common.put_to_inputs(Utils.getGlobalStreamId(Acker.ACKER_COMPONENT_ID, Acker.ACKER_FAIL_STREAM_ID),
                                     Thrift.prepareDirectGrouping());
                common.put_to_inputs(Utils.getGlobalStreamId(Acker.ACKER_COMPONENT_ID, Acker.ACKER_RESET_TIMEOUT_STREAM_ID),
                                     Thrift.prepareDirectGrouping());
            }
    
            topology.put_to_bolts(Acker.ACKER_COMPONENT_ID, acker);
        }
    
        public static Map<GlobalStreamId, Grouping> ackerInputs(StormTopology topology) {
            Map<GlobalStreamId, Grouping> inputs = new HashMap<>();
            Set<String> boltIds = topology.get_bolts().keySet();
            Set<String> spoutIds = topology.get_spouts().keySet();
    
            for (String id : spoutIds) {
                inputs.put(Utils.getGlobalStreamId(id, Acker.ACKER_INIT_STREAM_ID),
                           Thrift.prepareFieldsGrouping(Arrays.asList("id")));
            }
    
            for (String id : boltIds) {
                inputs.put(Utils.getGlobalStreamId(id, Acker.ACKER_ACK_STREAM_ID),
                           Thrift.prepareFieldsGrouping(Arrays.asList("id")));
                inputs.put(Utils.getGlobalStreamId(id, Acker.ACKER_FAIL_STREAM_ID),
                           Thrift.prepareFieldsGrouping(Arrays.asList("id")));
                inputs.put(Utils.getGlobalStreamId(id, Acker.ACKER_RESET_TIMEOUT_STREAM_ID),
                           Thrift.prepareFieldsGrouping(Arrays.asList("id")));
            }
            return inputs;
        }
    
        public static IBolt makeAckerBolt() {
            return _instance.makeAckerBoltImpl();
        }
    
        public IBolt makeAckerBoltImpl() {
            return new Acker();
        }

*  WorkerState构造器里头调用了systemTopology方法，添加了一些系统的组件，比如Acker、MetricsConsumerBolt、SystemBolt
 *  addAcker执行了创建ack的逻辑，ackerNum为ObjectReader.getInt(conf.get(Config.TOPOLOGY\_ACKER\_EXECUTORS), ObjectReader.getInt(conf.get(Config.TOPOLOGY\_WORKERS)))，即如果Config.TOPOLOGY\_ACKER\_EXECUTORS没有配置，则取Config.TOPOLOGY\_WORKERS的值
 *  这里对ack配置了Config.TOPOLOGY\_TICK\_TUPLE\_FREQ\_SECS，值为ObjectReader.getInt(conf.get(Config.TOPOLOGY\_MESSAGE\_TIMEOUT\_SECS))，也就是Acker配置了tickTuple，Config.TOPOLOGY\_MESSAGE\_TIMEOUT\_SECS的时候触发超时操作
 *  Thrift.prepareSerializedBoltDetails传入参数的时候，调用makeAckerBolt()方法，创建Acker
 *  ack里头对input及output配置了Acker.ACKER\_ACK\_STREAM\_ID、Acker.ACKER\_FAIL\_STREAM\_ID
 *  addAcker对spout配置了Config.TOPOLOGY\_TICK\_TUPLE\_FREQ\_SECS，Acker.ACKER\_ACK\_STREAM\_ID、Acker.ACKER\_FAIL\_STREAM\_ID、Acker.ACKER\_RESET\_TIMEOUT\_STREAM\_ID

### Acker ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/daemon/Acker.java

public class Acker implements IBolt {
        public static final String ACKER_COMPONENT_ID = "__acker";
        public static final String ACKER_INIT_STREAM_ID = "__ack_init";
        public static final String ACKER_ACK_STREAM_ID = "__ack_ack";
        public static final String ACKER_FAIL_STREAM_ID = "__ack_fail";
        public static final String ACKER_RESET_TIMEOUT_STREAM_ID = "__ack_reset_timeout";
        public static final int TIMEOUT_BUCKET_NUM = 3;
        private static final Logger LOG = LoggerFactory.getLogger(Acker.class);
        private static final long serialVersionUID = 4430906880683183091L;
        private OutputCollector collector;
        private RotatingMap<Object, AckObject> pending;
    
        @Override
        public void prepare(Map<String, Object> topoConf, TopologyContext context, OutputCollector collector) {
            this.collector = collector;
            this.pending = new RotatingMap<>(TIMEOUT_BUCKET_NUM);
        }
    
        @Override
        public void execute(Tuple input) {
            if (TupleUtils.isTick(input)) {
                Map<Object, AckObject> tmp = pending.rotate();
                LOG.debug("Number of timeout tuples:{}", tmp.size());
                return;
            }
    
            boolean resetTimeout = false;
            String streamId = input.getSourceStreamId();
            Object id = input.getValue(0);
            AckObject curr = pending.get(id);
            if (ACKER_INIT_STREAM_ID.equals(streamId)) {
                if (curr == null) {
                    curr = new AckObject();
                    pending.put(id, curr);
                }
                curr.updateAck(input.getLong(1));
                curr.spoutTask = input.getInteger(2);
            } else if (ACKER_ACK_STREAM_ID.equals(streamId)) {
                if (curr == null) {
                    curr = new AckObject();
                    pending.put(id, curr);
                }
                curr.updateAck(input.getLong(1));
            } else if (ACKER_FAIL_STREAM_ID.equals(streamId)) {
                // For the case that ack_fail message arrives before ack_init
                if (curr == null) {
                    curr = new AckObject();
                }
                curr.failed = true;
                pending.put(id, curr);
            } else if (ACKER_RESET_TIMEOUT_STREAM_ID.equals(streamId)) {
                resetTimeout = true;
                if (curr != null) {
                    pending.put(id, curr);
                } //else if it has not been added yet, there is no reason time it out later on
            } else if (Constants.SYSTEM_FLUSH_STREAM_ID.equals(streamId)) {
                collector.flush();
                return;
            } else {
                LOG.warn("Unknown source stream {} from task-{}", streamId, input.getSourceTask());
                return;
            }
    
            int task = curr.spoutTask;
            if (task >= 0 && (curr.val == 0 || curr.failed || resetTimeout)) {
                Values tuple = new Values(id, getTimeDeltaMillis(curr.startTime));
                if (curr.val == 0) {
                    pending.remove(id);
                    collector.emitDirect(task, ACKER_ACK_STREAM_ID, tuple);
                } else if (curr.failed) {
                    pending.remove(id);
                    collector.emitDirect(task, ACKER_FAIL_STREAM_ID, tuple);
                } else if (resetTimeout) {
                    collector.emitDirect(task, ACKER_RESET_TIMEOUT_STREAM_ID, tuple);
                } else {
                    throw new IllegalStateException("The checks are inconsistent we reach what should be unreachable code.");
                }
            }
    
            collector.ack(input);
        }
    
        @Override
        public void cleanup() {
            LOG.info("Acker: cleanup successfully");
        }
    
        private long getTimeDeltaMillis(long startTimeMillis) {
            return Time.currentTimeMillis() - startTimeMillis;
        }
    
        private static class AckObject {
            public long val = 0L;
            public long startTime = Time.currentTimeMillis();
            public int spoutTask = -1;
            public boolean failed = false;
    
            // val xor value
            public void updateAck(Long value) {
                val = Utils.bitXor(val, value);
            }
        }
    }

*  对于tickTuple，执行RotatingMap.rotate操作
 *  对于成功则调用AckObject的updateAck操作，对于失败的重新放回pending中
 *  最后判断，如果AckObject的val为0的话，表示整个tuple tree都操作成功，则往ACKER\_ACK\_STREAM\_ID通知；如果是failed的则往ACKER\_FAIL\_STREAM\_ID通知；如果是resetTimeout的则往ACKER\_RESET\_TIMEOUT\_STREAM\_ID通知

### SpoutExecutor ###

storm-2.0.0/storm-client/src/jvm/org/apache/storm/executor/spout/SpoutExecutor.java

public class SpoutExecutor extends Executor {
        //......
        @Override
        public void tupleActionFn(int taskId, TupleImpl tuple) throws Exception {
            String streamId = tuple.getSourceStreamId();
            if (Constants.SYSTEM_FLUSH_STREAM_ID.equals(streamId)) {
                spoutOutputCollector.flush();
            } else if (streamId.equals(Constants.SYSTEM_TICK_STREAM_ID)) {
                pending.rotate();
            } else if (streamId.equals(Constants.METRICS_TICK_STREAM_ID)) {
                metricsTick(idToTask.get(taskId - idToTaskBase), tuple);
            } else if (streamId.equals(Constants.CREDENTIALS_CHANGED_STREAM_ID)) {
                Object spoutObj = idToTask.get(taskId - idToTaskBase).getTaskObject();
                if (spoutObj instanceof ICredentialsListener) {
                    ((ICredentialsListener) spoutObj).setCredentials((Map<String, String>) tuple.getValue(0));
                }
            } else if (streamId.equals(Acker.ACKER_RESET_TIMEOUT_STREAM_ID)) {
                Long id = (Long) tuple.getValue(0);
                TupleInfo pendingForId = pending.get(id);
                if (pendingForId != null) {
                    pending.put(id, pendingForId);
                }
            } else {
                Long id = (Long) tuple.getValue(0);
                Long timeDeltaMs = (Long) tuple.getValue(1);
                TupleInfo tupleInfo = pending.remove(id);
                if (tupleInfo != null && tupleInfo.getMessageId() != null) {
                    if (taskId != tupleInfo.getTaskId()) {
                        throw new RuntimeException("Fatal error, mismatched task ids: " + taskId + " " + tupleInfo.getTaskId());
                    }
                    Long timeDelta = null;
                    if (hasAckers) {
                        long startTimeMs = tupleInfo.getTimestamp();
                        if (startTimeMs != 0) {
                            timeDelta = timeDeltaMs;
                        }
                    }
                    if (streamId.equals(Acker.ACKER_ACK_STREAM_ID)) {
                        ackSpoutMsg(this, idToTask.get(taskId - idToTaskBase), timeDelta, tupleInfo);
                    } else if (streamId.equals(Acker.ACKER_FAIL_STREAM_ID)) {
                        failSpoutMsg(this, idToTask.get(taskId - idToTaskBase), timeDelta, tupleInfo, "FAIL-STREAM");
                    }
                }
            }
        }
    
        public void ackSpoutMsg(SpoutExecutor executor, Task taskData, Long timeDelta, TupleInfo tupleInfo) {
            try {
                ISpout spout = (ISpout) taskData.getTaskObject();
                int taskId = taskData.getTaskId();
                if (executor.getIsDebug()) {
                    LOG.info("SPOUT Acking message {} {}", tupleInfo.getId(), tupleInfo.getMessageId());
                }
                spout.ack(tupleInfo.getMessageId());
                if (!taskData.getUserContext().getHooks().isEmpty()) { // avoid allocating SpoutAckInfo obj if not necessary
                    new SpoutAckInfo(tupleInfo.getMessageId(), taskId, timeDelta).applyOn(taskData.getUserContext());
                }
                if (hasAckers && timeDelta != null) {
                    executor.getStats().spoutAckedTuple(tupleInfo.getStream(), timeDelta,
                                                        taskData.getTaskMetrics().getAcked(tupleInfo.getStream()));
                }
            } catch (Exception e) {
                throw Utils.wrapInRuntime(e);
            }
        }
    
        public void failSpoutMsg(SpoutExecutor executor, Task taskData, Long timeDelta, TupleInfo tupleInfo, String reason) {
            try {
                ISpout spout = (ISpout) taskData.getTaskObject();
                int taskId = taskData.getTaskId();
                if (executor.getIsDebug()) {
                    LOG.info("SPOUT Failing {} : {} REASON: {}", tupleInfo.getId(), tupleInfo, reason);
                }
                spout.fail(tupleInfo.getMessageId());
                new SpoutFailInfo(tupleInfo.getMessageId(), taskId, timeDelta).applyOn(taskData.getUserContext());
                if (timeDelta != null) {
                    executor.getStats().spoutFailedTuple(tupleInfo.getStream(), timeDelta,
                                                         taskData.getTaskMetrics().getFailed(tupleInfo.getStream()));
                }
            } catch (Exception e) {
                throw Utils.wrapInRuntime(e);
            }
        }
    }

*  SpoutExecutor在tupleActionFn里头，如果接收到ACKER\_ACK\_STREAM\_ID，则进行ackSpoutMsg操作；如果接收到ACKER\_FAIL\_STREAM\_ID，则进行failSpoutMsg操作
 *  SpoutExecutor的ackSpoutMsg及failSpoutMsg里头分别调用了具体spout的ack及fail方法，将ack的结果通知到原始的spout

## 小结 ##

*  storm通过ack机制保证least once processing的语义
 *  storm在WorkerState构造器里头调用了systemTopology方法，对提交的topology添加了一些系统的组件，比如Acker、MetricsConsumerBolt、SystemBolt；addAcker里头添加了acker，也对spout进行了ack相关的配置
 *  spout的emit方法如果带messageId的话，则表示需要ack，然后会触发taskData.sendUnanchored(Acker.ACKER\_INIT\_STREAM\_ID, ackInitTuple, executor.getExecutorTransfer(), executor.getPendingEmits())操作
 *  bolt通过BoltOutputCollectorImpl的ack或fail方法将ack信息发送出去，里头调用了task.sendUnanchored操作，而该操作是调用ExecutorTransfer.tryTransfer，将addressedTuple发送到目标队列(`如果是远程node则会远程进行远程调用`)，发送到的stream为Acker.ACKER\_ACK\_STREAM\_ID或者Acker.ACKER\_FAIL\_STREAM\_ID
 *  acker接收到Acker.ACKER\_ACK\_STREAM\_ID调用AckObject的updateAck操作，对于Acker.ACKER\_FAIL\_STREAM\_ID则重新放回pending中，然后对AckObject的val进行判断，如果为0的话，表示整个tuple tree都操作成功，则emitDirect往ACKER\_ACK\_STREAM\_ID通知；如果是failed的则emitDirect往ACKER\_FAIL\_STREAM\_ID通知对应的task；如果是resetTimeout的则往ACKER\_RESET\_TIMEOUT\_STREAM\_ID通知对应的task
 *  SpoutExecutor接收到接收到ACKER\_ACK\_STREAM\_ID，则进行ackSpoutMsg操作；接收到ACKER\_FAIL\_STREAM\_ID，则进行failSpoutMsg操作；ackSpoutMsg及failSpoutMsg里头分别调用了具体spout的ack及fail方法，将ack的结果通知到原始的spout

[3045140093-5bcc6a68ce712_articlex]: /images/20210425/1619365375589.png