http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/jobtracker/HadoopJobTracker.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/jobtracker/HadoopJobTracker.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/jobtracker/HadoopJobTracker.java new file mode 100644 index 0000000..39f42b2 --- /dev/null +++ b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/jobtracker/HadoopJobTracker.java @@ -0,0 +1,1626 @@ +/* + * 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.ignite.internal.processors.hadoop.jobtracker; + +import org.apache.ignite.*; +import org.apache.ignite.events.*; +import org.apache.ignite.events.EventType; +import org.apache.ignite.internal.*; +import org.apache.ignite.internal.managers.eventstorage.*; +import org.apache.ignite.internal.processors.cache.*; +import org.apache.ignite.internal.processors.hadoop.*; +import org.apache.ignite.internal.processors.hadoop.counter.*; +import org.apache.ignite.internal.processors.hadoop.counter.HadoopCounters; +import org.apache.ignite.internal.processors.hadoop.taskexecutor.*; +import org.apache.ignite.internal.processors.hadoop.taskexecutor.external.*; +import org.apache.ignite.internal.util.*; +import org.apache.ignite.internal.util.future.*; +import org.apache.ignite.internal.util.typedef.*; +import org.apache.ignite.internal.util.typedef.internal.*; +import org.apache.ignite.lang.*; +import org.jdk8.backport.*; +import org.jetbrains.annotations.*; + +import javax.cache.event.*; +import javax.cache.expiry.*; +import javax.cache.processor.*; +import java.io.*; +import java.util.*; +import java.util.concurrent.*; +import java.util.concurrent.atomic.*; + +import static java.util.concurrent.TimeUnit.*; +import static org.apache.ignite.internal.processors.hadoop.HadoopJobPhase.*; +import static org.apache.ignite.internal.processors.hadoop.HadoopTaskType.*; +import static org.apache.ignite.internal.processors.hadoop.taskexecutor.HadoopTaskState.*; + +/** + * Hadoop job tracker. + */ +public class HadoopJobTracker extends HadoopComponent { + /** */ + private final GridMutex mux = new GridMutex(); + + /** */ + private volatile GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> jobMetaPrj; + + /** Projection with expiry policy for finished job updates. */ + private volatile GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> finishedJobMetaPrj; + + /** Map-reduce execution planner. */ + @SuppressWarnings("FieldAccessedSynchronizedAndUnsynchronized") + private HadoopMapReducePlanner mrPlanner; + + /** All the known jobs. */ + private final ConcurrentMap<HadoopJobId, GridFutureAdapterEx<HadoopJob>> jobs = new ConcurrentHashMap8<>(); + + /** Locally active jobs. */ + private final ConcurrentMap<HadoopJobId, JobLocalState> activeJobs = new ConcurrentHashMap8<>(); + + /** Locally requested finish futures. */ + private final ConcurrentMap<HadoopJobId, GridFutureAdapter<HadoopJobId>> activeFinishFuts = + new ConcurrentHashMap8<>(); + + /** Event processing service. */ + private ExecutorService evtProcSvc; + + /** Component busy lock. */ + private GridSpinReadWriteLock busyLock; + + /** Closure to check result of async transform of system cache. */ + private final IgniteInClosure<IgniteInternalFuture<?>> failsLog = new CI1<IgniteInternalFuture<?>>() { + @Override public void apply(IgniteInternalFuture<?> gridFut) { + try { + gridFut.get(); + } + catch (IgniteCheckedException e) { + U.error(log, "Failed to transform system cache.", e); + } + } + }; + + /** {@inheritDoc} */ + @Override public void start(HadoopContext ctx) throws IgniteCheckedException { + super.start(ctx); + + busyLock = new GridSpinReadWriteLock(); + + evtProcSvc = Executors.newFixedThreadPool(1); + } + + /** + * @return Job meta projection. + */ + @SuppressWarnings("NonPrivateFieldAccessedInSynchronizedContext") + private GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> jobMetaCache() { + GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> prj = jobMetaPrj; + + if (prj == null) { + synchronized (mux) { + if ((prj = jobMetaPrj) == null) { + CacheProjection<Object, Object> sysCache = ctx.kernalContext().cache() + .cache(CU.SYS_CACHE_HADOOP_MR); + + assert sysCache != null; + + mrPlanner = ctx.planner(); + + try { + ctx.kernalContext().resource().injectGeneric(mrPlanner); + } + catch (IgniteCheckedException e) { // Must not happen. + U.error(log, "Failed to inject resources.", e); + + throw new IllegalStateException(e); + } + + jobMetaPrj = prj = (GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata>) + sysCache.projection(HadoopJobId.class, HadoopJobMetadata.class); + + if (ctx.configuration().getFinishedJobInfoTtl() > 0) { + ExpiryPolicy finishedJobPlc = new ModifiedExpiryPolicy( + new Duration(MILLISECONDS, ctx.configuration().getFinishedJobInfoTtl())); + + finishedJobMetaPrj = prj.withExpiryPolicy(finishedJobPlc); + } + else + finishedJobMetaPrj = jobMetaPrj; + } + } + } + + return prj; + } + + /** + * @return Projection with expiry policy for finished job updates. + */ + private GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> finishedJobMetaCache() { + GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> prj = finishedJobMetaPrj; + + if (prj == null) { + jobMetaCache(); + + prj = finishedJobMetaPrj; + + assert prj != null; + } + + return prj; + } + + /** {@inheritDoc} */ + @SuppressWarnings("deprecation") + @Override public void onKernalStart() throws IgniteCheckedException { + super.onKernalStart(); + + jobMetaCache().context().continuousQueries().executeInternalQuery( + new CacheEntryUpdatedListener<HadoopJobId, HadoopJobMetadata>() { + @Override public void onUpdated(final Iterable<CacheEntryEvent<? extends HadoopJobId, + ? extends HadoopJobMetadata>> evts) { + if (!busyLock.tryReadLock()) + return; + + try { + // Must process query callback in a separate thread to avoid deadlocks. + evtProcSvc.submit(new EventHandler() { + @Override protected void body() throws IgniteCheckedException { + processJobMetadataUpdates(evts); + } + }); + } + finally { + busyLock.readUnlock(); + } + } + }, + null, + true, + true + ); + + ctx.kernalContext().event().addLocalEventListener(new GridLocalEventListener() { + @Override public void onEvent(final Event evt) { + if (!busyLock.tryReadLock()) + return; + + try { + // Must process discovery callback in a separate thread to avoid deadlock. + evtProcSvc.submit(new EventHandler() { + @Override protected void body() { + processNodeLeft((DiscoveryEvent)evt); + } + }); + } + finally { + busyLock.readUnlock(); + } + } + }, EventType.EVT_NODE_FAILED, EventType.EVT_NODE_LEFT); + } + + /** {@inheritDoc} */ + @Override public void onKernalStop(boolean cancel) { + super.onKernalStop(cancel); + + busyLock.writeLock(); + + evtProcSvc.shutdown(); + + // Fail all pending futures. + for (GridFutureAdapter<HadoopJobId> fut : activeFinishFuts.values()) + fut.onDone(new IgniteCheckedException("Failed to execute Hadoop map-reduce job (grid is stopping).")); + } + + /** + * Submits execution of Hadoop job to grid. + * + * @param jobId Job ID. + * @param info Job info. + * @return Job completion future. + */ + @SuppressWarnings("unchecked") + public IgniteInternalFuture<HadoopJobId> submit(HadoopJobId jobId, HadoopJobInfo info) { + if (!busyLock.tryReadLock()) { + return new GridFinishedFutureEx<>(new IgniteCheckedException("Failed to execute map-reduce job " + + "(grid is stopping): " + info)); + } + + try { + long jobPrepare = U.currentTimeMillis(); + + if (jobs.containsKey(jobId) || jobMetaCache().containsKey(jobId)) + throw new IgniteCheckedException("Failed to submit job. Job with the same ID already exists: " + jobId); + + HadoopJob job = job(jobId, info); + + HadoopMapReducePlan mrPlan = mrPlanner.preparePlan(job, ctx.nodes(), null); + + HadoopJobMetadata meta = new HadoopJobMetadata(ctx.localNodeId(), jobId, info); + + meta.mapReducePlan(mrPlan); + + meta.pendingSplits(allSplits(mrPlan)); + meta.pendingReducers(allReducers(mrPlan)); + + GridFutureAdapter<HadoopJobId> completeFut = new GridFutureAdapter<>(); + + GridFutureAdapter<HadoopJobId> old = activeFinishFuts.put(jobId, completeFut); + + assert old == null : "Duplicate completion future [jobId=" + jobId + ", old=" + old + ']'; + + if (log.isDebugEnabled()) + log.debug("Submitting job metadata [jobId=" + jobId + ", meta=" + meta + ']'); + + long jobStart = U.currentTimeMillis(); + + HadoopPerformanceCounter perfCntr = HadoopPerformanceCounter.getCounter(meta.counters(), + ctx.localNodeId()); + + perfCntr.clientSubmissionEvents(info); + perfCntr.onJobPrepare(jobPrepare); + perfCntr.onJobStart(jobStart); + + if (jobMetaCache().putIfAbsent(jobId, meta) != null) + throw new IgniteCheckedException("Failed to submit job. Job with the same ID already exists: " + jobId); + + return completeFut; + } + catch (IgniteCheckedException e) { + U.error(log, "Failed to submit job: " + jobId, e); + + return new GridFinishedFutureEx<>(e); + } + finally { + busyLock.readUnlock(); + } + } + + /** + * Convert Hadoop job metadata to job status. + * + * @param meta Metadata. + * @return Status. + */ + @SuppressWarnings("ThrowableResultOfMethodCallIgnored") + public static HadoopJobStatus status(HadoopJobMetadata meta) { + HadoopJobInfo jobInfo = meta.jobInfo(); + + return new HadoopJobStatus( + meta.jobId(), + jobInfo.jobName(), + jobInfo.user(), + meta.pendingSplits() != null ? meta.pendingSplits().size() : 0, + meta.pendingReducers() != null ? meta.pendingReducers().size() : 0, + meta.mapReducePlan().mappers(), + meta.mapReducePlan().reducers(), + meta.phase(), + meta.failCause() != null, + meta.version() + ); + } + + /** + * Gets hadoop job status for given job ID. + * + * @param jobId Job ID to get status for. + * @return Job status for given job ID or {@code null} if job was not found. + */ + @Nullable public HadoopJobStatus status(HadoopJobId jobId) throws IgniteCheckedException { + if (!busyLock.tryReadLock()) + return null; // Grid is stopping. + + try { + HadoopJobMetadata meta = jobMetaCache().get(jobId); + + return meta != null ? status(meta) : null; + } + finally { + busyLock.readUnlock(); + } + } + + /** + * Gets job finish future. + * + * @param jobId Job ID. + * @return Finish future or {@code null}. + * @throws IgniteCheckedException If failed. + */ + @Nullable public IgniteInternalFuture<?> finishFuture(HadoopJobId jobId) throws IgniteCheckedException { + if (!busyLock.tryReadLock()) + return null; // Grid is stopping. + + try { + HadoopJobMetadata meta = jobMetaCache().get(jobId); + + if (meta == null) + return null; + + if (log.isTraceEnabled()) + log.trace("Got job metadata for status check [locNodeId=" + ctx.localNodeId() + ", meta=" + meta + ']'); + + if (meta.phase() == PHASE_COMPLETE) { + if (log.isTraceEnabled()) + log.trace("Job is complete, returning finished future: " + jobId); + + return new GridFinishedFutureEx<>(jobId, meta.failCause()); + } + + GridFutureAdapter<HadoopJobId> fut = F.addIfAbsent(activeFinishFuts, jobId, + new GridFutureAdapter<HadoopJobId>()); + + // Get meta from cache one more time to close the window. + meta = jobMetaCache().get(jobId); + + if (log.isTraceEnabled()) + log.trace("Re-checking job metadata [locNodeId=" + ctx.localNodeId() + ", meta=" + meta + ']'); + + if (meta == null) { + fut.onDone(); + + activeFinishFuts.remove(jobId , fut); + } + else if (meta.phase() == PHASE_COMPLETE) { + fut.onDone(jobId, meta.failCause()); + + activeFinishFuts.remove(jobId , fut); + } + + return fut; + } + finally { + busyLock.readUnlock(); + } + } + + /** + * Gets job plan by job ID. + * + * @param jobId Job ID. + * @return Job plan. + * @throws IgniteCheckedException If failed. + */ + public HadoopMapReducePlan plan(HadoopJobId jobId) throws IgniteCheckedException { + if (!busyLock.tryReadLock()) + return null; + + try { + HadoopJobMetadata meta = jobMetaCache().get(jobId); + + if (meta != null) + return meta.mapReducePlan(); + + return null; + } + finally { + busyLock.readUnlock(); + } + } + + /** + * Callback from task executor invoked when a task has been finished. + * + * @param info Task info. + * @param status Task status. + */ + @SuppressWarnings({"ConstantConditions", "ThrowableResultOfMethodCallIgnored"}) + public void onTaskFinished(HadoopTaskInfo info, HadoopTaskStatus status) { + if (!busyLock.tryReadLock()) + return; + + try { + assert status.state() != RUNNING; + + if (log.isDebugEnabled()) + log.debug("Received task finished callback [info=" + info + ", status=" + status + ']'); + + JobLocalState state = activeJobs.get(info.jobId()); + + // Task CRASHes with null fail cause. + assert (status.state() != FAILED) || status.failCause() != null : + "Invalid task status [info=" + info + ", status=" + status + ']'; + + assert state != null || (ctx.jobUpdateLeader() && (info.type() == COMMIT || info.type() == ABORT)): + "Missing local state for finished task [info=" + info + ", status=" + status + ']'; + + StackedProcessor incrCntrs = null; + + if (status.state() == COMPLETED) + incrCntrs = new IncrementCountersProcessor(null, status.counters()); + + switch (info.type()) { + case SETUP: { + state.onSetupFinished(info, status, incrCntrs); + + break; + } + + case MAP: { + state.onMapFinished(info, status, incrCntrs); + + break; + } + + case REDUCE: { + state.onReduceFinished(info, status, incrCntrs); + + break; + } + + case COMBINE: { + state.onCombineFinished(info, status, incrCntrs); + + break; + } + + case COMMIT: + case ABORT: { + GridCacheProjectionEx<HadoopJobId, HadoopJobMetadata> cache = finishedJobMetaCache(); + + cache.invokeAsync(info.jobId(), new UpdatePhaseProcessor(incrCntrs, PHASE_COMPLETE)). + listenAsync(failsLog); + + break; + } + } + } + finally { + busyLock.readUnlock(); + } + } + + /** + * @param jobId Job id. + * @param c Closure of operation. + */ + private void transform(HadoopJobId jobId, EntryProcessor<HadoopJobId, HadoopJobMetadata, Void> c) { + jobMetaCache().invokeAsync(jobId, c).listenAsync(failsLog); + } + + /** + * Callback from task executor called when process is ready to received shuffle messages. + * + * @param jobId Job ID. + * @param reducers Reducers. + * @param desc Process descriptor. + */ + public void onExternalMappersInitialized(HadoopJobId jobId, Collection<Integer> reducers, + HadoopProcessDescriptor desc) { + transform(jobId, new InitializeReducersProcessor(null, reducers, desc)); + } + + /** + * Gets all input splits for given hadoop map-reduce plan. + * + * @param plan Map-reduce plan. + * @return Collection of all input splits that should be processed. + */ + @SuppressWarnings("ConstantConditions") + private Map<HadoopInputSplit, Integer> allSplits(HadoopMapReducePlan plan) { + Map<HadoopInputSplit, Integer> res = new HashMap<>(); + + int taskNum = 0; + + for (UUID nodeId : plan.mapperNodeIds()) { + for (HadoopInputSplit split : plan.mappers(nodeId)) { + if (res.put(split, taskNum++) != null) + throw new IllegalStateException("Split duplicate."); + } + } + + return res; + } + + /** + * Gets all reducers for this job. + * + * @param plan Map-reduce plan. + * @return Collection of reducers. + */ + private Collection<Integer> allReducers(HadoopMapReducePlan plan) { + Collection<Integer> res = new HashSet<>(); + + for (int i = 0; i < plan.reducers(); i++) + res.add(i); + + return res; + } + + /** + * Processes node leave (or fail) event. + * + * @param evt Discovery event. + */ + @SuppressWarnings("ConstantConditions") + private void processNodeLeft(DiscoveryEvent evt) { + if (log.isDebugEnabled()) + log.debug("Processing discovery event [locNodeId=" + ctx.localNodeId() + ", evt=" + evt + ']'); + + // Check only if this node is responsible for job status updates. + if (ctx.jobUpdateLeader()) { + boolean checkSetup = evt.eventNode().order() < ctx.localNodeOrder(); + + // Iteration over all local entries is correct since system cache is REPLICATED. + for (Object metaObj : jobMetaCache().values()) { + HadoopJobMetadata meta = (HadoopJobMetadata)metaObj; + + HadoopJobId jobId = meta.jobId(); + + HadoopMapReducePlan plan = meta.mapReducePlan(); + + HadoopJobPhase phase = meta.phase(); + + try { + if (checkSetup && phase == PHASE_SETUP && !activeJobs.containsKey(jobId)) { + // Failover setup task. + HadoopJob job = job(jobId, meta.jobInfo()); + + Collection<HadoopTaskInfo> setupTask = setupTask(jobId); + + assert setupTask != null; + + ctx.taskExecutor().run(job, setupTask); + } + else if (phase == PHASE_MAP || phase == PHASE_REDUCE) { + // Must check all nodes, even that are not event node ID due to + // multiple node failure possibility. + Collection<HadoopInputSplit> cancelSplits = null; + + for (UUID nodeId : plan.mapperNodeIds()) { + if (ctx.kernalContext().discovery().node(nodeId) == null) { + // Node has left the grid. + Collection<HadoopInputSplit> mappers = plan.mappers(nodeId); + + if (cancelSplits == null) + cancelSplits = new HashSet<>(); + + cancelSplits.addAll(mappers); + } + } + + Collection<Integer> cancelReducers = null; + + for (UUID nodeId : plan.reducerNodeIds()) { + if (ctx.kernalContext().discovery().node(nodeId) == null) { + // Node has left the grid. + int[] reducers = plan.reducers(nodeId); + + if (cancelReducers == null) + cancelReducers = new HashSet<>(); + + for (int rdc : reducers) + cancelReducers.add(rdc); + } + } + + if (cancelSplits != null || cancelReducers != null) + jobMetaCache().invoke(meta.jobId(), new CancelJobProcessor(null, new IgniteCheckedException( + "One or more nodes participating in map-reduce job execution failed."), cancelSplits, + cancelReducers)); + } + } + catch (IgniteCheckedException e) { + U.error(log, "Failed to cancel job: " + meta, e); + } + } + } + } + + /** + * @param updated Updated cache entries. + * @throws IgniteCheckedException If failed. + */ + private void processJobMetadataUpdates( + Iterable<CacheEntryEvent<? extends HadoopJobId, ? extends HadoopJobMetadata>> updated) + throws IgniteCheckedException { + UUID locNodeId = ctx.localNodeId(); + + for (CacheEntryEvent<? extends HadoopJobId, ? extends HadoopJobMetadata> entry : updated) { + HadoopJobId jobId = entry.getKey(); + HadoopJobMetadata meta = entry.getValue(); + + if (meta == null || !ctx.isParticipating(meta)) + continue; + + if (log.isDebugEnabled()) + log.debug("Processing job metadata update callback [locNodeId=" + locNodeId + + ", meta=" + meta + ']'); + + try { + ctx.taskExecutor().onJobStateChanged(meta); + } + catch (IgniteCheckedException e) { + U.error(log, "Failed to process job state changed callback (will fail the job) " + + "[locNodeId=" + locNodeId + ", jobId=" + jobId + ", meta=" + meta + ']', e); + + transform(jobId, new CancelJobProcessor(null, e)); + + continue; + } + + processJobMetaUpdate(jobId, meta, locNodeId); + } + } + + /** + * @param jobId Job ID. + * @param plan Map-reduce plan. + */ + private void printPlan(HadoopJobId jobId, HadoopMapReducePlan plan) { + log.info("Plan for " + jobId); + + SB b = new SB(); + + b.a(" Map: "); + + for (UUID nodeId : plan.mapperNodeIds()) + b.a(nodeId).a("=").a(plan.mappers(nodeId).size()).a(' '); + + log.info(b.toString()); + + b = new SB(); + + b.a(" Reduce: "); + + for (UUID nodeId : plan.reducerNodeIds()) + b.a(nodeId).a("=").a(Arrays.toString(plan.reducers(nodeId))).a(' '); + + log.info(b.toString()); + } + + /** + * @param jobId Job ID. + * @param meta Job metadata. + * @param locNodeId Local node ID. + * @throws IgniteCheckedException If failed. + */ + private void processJobMetaUpdate(HadoopJobId jobId, HadoopJobMetadata meta, UUID locNodeId) + throws IgniteCheckedException { + JobLocalState state = activeJobs.get(jobId); + + HadoopJob job = job(jobId, meta.jobInfo()); + + HadoopMapReducePlan plan = meta.mapReducePlan(); + + switch (meta.phase()) { + case PHASE_SETUP: { + if (ctx.jobUpdateLeader()) { + Collection<HadoopTaskInfo> setupTask = setupTask(jobId); + + if (setupTask != null) + ctx.taskExecutor().run(job, setupTask); + } + + break; + } + + case PHASE_MAP: { + // Check if we should initiate new task on local node. + Collection<HadoopTaskInfo> tasks = mapperTasks(plan.mappers(locNodeId), meta); + + if (tasks != null) + ctx.taskExecutor().run(job, tasks); + + break; + } + + case PHASE_REDUCE: { + if (meta.pendingReducers().isEmpty() && ctx.jobUpdateLeader()) { + HadoopTaskInfo info = new HadoopTaskInfo(COMMIT, jobId, 0, 0, null); + + if (log.isDebugEnabled()) + log.debug("Submitting COMMIT task for execution [locNodeId=" + locNodeId + + ", jobId=" + jobId + ']'); + + ctx.taskExecutor().run(job, Collections.singletonList(info)); + + break; + } + + Collection<HadoopTaskInfo> tasks = reducerTasks(plan.reducers(locNodeId), job); + + if (tasks != null) + ctx.taskExecutor().run(job, tasks); + + break; + } + + case PHASE_CANCELLING: { + // Prevent multiple task executor notification. + if (state != null && state.onCancel()) { + if (log.isDebugEnabled()) + log.debug("Cancelling local task execution for job: " + meta); + + ctx.taskExecutor().cancelTasks(jobId); + } + + if (meta.pendingSplits().isEmpty() && meta.pendingReducers().isEmpty()) { + if (ctx.jobUpdateLeader()) { + if (state == null) + state = initState(jobId); + + // Prevent running multiple abort tasks. + if (state.onAborted()) { + HadoopTaskInfo info = new HadoopTaskInfo(ABORT, jobId, 0, 0, null); + + if (log.isDebugEnabled()) + log.debug("Submitting ABORT task for execution [locNodeId=" + locNodeId + + ", jobId=" + jobId + ']'); + + ctx.taskExecutor().run(job, Collections.singletonList(info)); + } + } + + break; + } + else { + // Check if there are unscheduled mappers or reducers. + Collection<HadoopInputSplit> cancelMappers = new ArrayList<>(); + Collection<Integer> cancelReducers = new ArrayList<>(); + + Collection<HadoopInputSplit> mappers = plan.mappers(ctx.localNodeId()); + + if (mappers != null) { + for (HadoopInputSplit b : mappers) { + if (state == null || !state.mapperScheduled(b)) + cancelMappers.add(b); + } + } + + int[] rdc = plan.reducers(ctx.localNodeId()); + + if (rdc != null) { + for (int r : rdc) { + if (state == null || !state.reducerScheduled(r)) + cancelReducers.add(r); + } + } + + if (!cancelMappers.isEmpty() || !cancelReducers.isEmpty()) + transform(jobId, new CancelJobProcessor(null, cancelMappers, cancelReducers)); + } + + break; + } + + case PHASE_COMPLETE: { + if (log.isDebugEnabled()) + log.debug("Job execution is complete, will remove local state from active jobs " + + "[jobId=" + jobId + ", meta=" + meta + ']'); + + if (state != null) { + state = activeJobs.remove(jobId); + + assert state != null; + + ctx.shuffle().jobFinished(jobId); + } + + GridFutureAdapter<HadoopJobId> finishFut = activeFinishFuts.remove(jobId); + + if (finishFut != null) { + if (log.isDebugEnabled()) + log.debug("Completing job future [locNodeId=" + locNodeId + ", meta=" + meta + ']'); + + finishFut.onDone(jobId, meta.failCause()); + } + + if (ctx.jobUpdateLeader()) + job.cleanupStagingDirectory(); + + jobs.remove(jobId); + + job.dispose(false); + + if (ctx.jobUpdateLeader()) { + ClassLoader ldr = job.getClass().getClassLoader(); + + try { + String statWriterClsName = job.info().property(HadoopUtils.JOB_COUNTER_WRITER_PROPERTY); + + if (statWriterClsName != null) { + Class<?> cls = ldr.loadClass(statWriterClsName); + + HadoopCounterWriter writer = (HadoopCounterWriter)cls.newInstance(); + + HadoopCounters cntrs = meta.counters(); + + writer.write(job.info(), jobId, cntrs); + } + } + catch (Exception e) { + log.error("Can't write statistic due to: ", e); + } + } + + break; + } + + default: + throw new IllegalStateException("Unknown phase: " + meta.phase()); + } + } + + /** + * Creates setup task based on job information. + * + * @param jobId Job ID. + * @return Setup task wrapped in collection. + */ + @Nullable private Collection<HadoopTaskInfo> setupTask(HadoopJobId jobId) { + if (activeJobs.containsKey(jobId)) + return null; + else { + initState(jobId); + + return Collections.singleton(new HadoopTaskInfo(SETUP, jobId, 0, 0, null)); + } + } + + /** + * Creates mapper tasks based on job information. + * + * @param mappers Mapper blocks. + * @param meta Job metadata. + * @return Collection of created task infos or {@code null} if no mapper tasks scheduled for local node. + */ + private Collection<HadoopTaskInfo> mapperTasks(Iterable<HadoopInputSplit> mappers, HadoopJobMetadata meta) { + UUID locNodeId = ctx.localNodeId(); + HadoopJobId jobId = meta.jobId(); + + JobLocalState state = activeJobs.get(jobId); + + Collection<HadoopTaskInfo> tasks = null; + + if (mappers != null) { + if (state == null) + state = initState(jobId); + + for (HadoopInputSplit split : mappers) { + if (state.addMapper(split)) { + if (log.isDebugEnabled()) + log.debug("Submitting MAP task for execution [locNodeId=" + locNodeId + + ", split=" + split + ']'); + + HadoopTaskInfo taskInfo = new HadoopTaskInfo(MAP, jobId, meta.taskNumber(split), 0, split); + + if (tasks == null) + tasks = new ArrayList<>(); + + tasks.add(taskInfo); + } + } + } + + return tasks; + } + + /** + * Creates reducer tasks based on job information. + * + * @param reducers Reducers (may be {@code null}). + * @param job Job instance. + * @return Collection of task infos. + */ + private Collection<HadoopTaskInfo> reducerTasks(int[] reducers, HadoopJob job) { + UUID locNodeId = ctx.localNodeId(); + HadoopJobId jobId = job.id(); + + JobLocalState state = activeJobs.get(jobId); + + Collection<HadoopTaskInfo> tasks = null; + + if (reducers != null) { + if (state == null) + state = initState(job.id()); + + for (int rdc : reducers) { + if (state.addReducer(rdc)) { + if (log.isDebugEnabled()) + log.debug("Submitting REDUCE task for execution [locNodeId=" + locNodeId + + ", rdc=" + rdc + ']'); + + HadoopTaskInfo taskInfo = new HadoopTaskInfo(REDUCE, jobId, rdc, 0, null); + + if (tasks == null) + tasks = new ArrayList<>(); + + tasks.add(taskInfo); + } + } + } + + return tasks; + } + + /** + * Initializes local state for given job metadata. + * + * @param jobId Job ID. + * @return Local state. + */ + private JobLocalState initState(HadoopJobId jobId) { + return F.addIfAbsent(activeJobs, jobId, new JobLocalState()); + } + + /** + * Gets or creates job instance. + * + * @param jobId Job ID. + * @param jobInfo Job info. + * @return Job. + * @throws IgniteCheckedException If failed. + */ + @Nullable public HadoopJob job(HadoopJobId jobId, @Nullable HadoopJobInfo jobInfo) throws IgniteCheckedException { + GridFutureAdapterEx<HadoopJob> fut = jobs.get(jobId); + + if (fut != null || (fut = jobs.putIfAbsent(jobId, new GridFutureAdapterEx<HadoopJob>())) != null) + return fut.get(); + + fut = jobs.get(jobId); + + HadoopJob job = null; + + try { + if (jobInfo == null) { + HadoopJobMetadata meta = jobMetaCache().get(jobId); + + if (meta == null) + throw new IgniteCheckedException("Failed to find job metadata for ID: " + jobId); + + jobInfo = meta.jobInfo(); + } + + job = jobInfo.createJob(jobId, log); + + job.initialize(false, ctx.localNodeId()); + + fut.onDone(job); + + return job; + } + catch (IgniteCheckedException e) { + fut.onDone(e); + + jobs.remove(jobId, fut); + + if (job != null) { + try { + job.dispose(false); + } + catch (IgniteCheckedException e0) { + U.error(log, "Failed to dispose job: " + jobId, e0); + } + } + + throw e; + } + } + + /** + * Kills job. + * + * @param jobId Job ID. + * @return {@code True} if job was killed. + * @throws IgniteCheckedException If failed. + */ + public boolean killJob(HadoopJobId jobId) throws IgniteCheckedException { + if (!busyLock.tryReadLock()) + return false; // Grid is stopping. + + try { + HadoopJobMetadata meta = jobMetaCache().get(jobId); + + if (meta != null && meta.phase() != PHASE_COMPLETE && meta.phase() != PHASE_CANCELLING) { + HadoopTaskCancelledException err = new HadoopTaskCancelledException("Job cancelled."); + + jobMetaCache().invoke(jobId, new CancelJobProcessor(null, err)); + } + } + finally { + busyLock.readUnlock(); + } + + IgniteInternalFuture<?> fut = finishFuture(jobId); + + if (fut != null) { + try { + fut.get(); + } + catch (Throwable e) { + if (e.getCause() instanceof HadoopTaskCancelledException) + return true; + } + } + + return false; + } + + /** + * Returns job counters. + * + * @param jobId Job identifier. + * @return Job counters or {@code null} if job cannot be found. + * @throws IgniteCheckedException If failed. + */ + @Nullable public HadoopCounters jobCounters(HadoopJobId jobId) throws IgniteCheckedException { + if (!busyLock.tryReadLock()) + return null; + + try { + final HadoopJobMetadata meta = jobMetaCache().get(jobId); + + return meta != null ? meta.counters() : null; + } + finally { + busyLock.readUnlock(); + } + } + + /** + * Event handler protected by busy lock. + */ + private abstract class EventHandler implements Runnable { + /** {@inheritDoc} */ + @Override public void run() { + if (!busyLock.tryReadLock()) + return; + + try { + body(); + } + catch (Throwable e) { + U.error(log, "Unhandled exception while processing event.", e); + } + finally { + busyLock.readUnlock(); + } + } + + /** + * Handler body. + */ + protected abstract void body() throws Exception; + } + + /** + * + */ + private class JobLocalState { + /** Mappers. */ + private final Collection<HadoopInputSplit> currMappers = new HashSet<>(); + + /** Reducers. */ + private final Collection<Integer> currReducers = new HashSet<>(); + + /** Number of completed mappers. */ + private final AtomicInteger completedMappersCnt = new AtomicInteger(); + + /** Cancelled flag. */ + private boolean cancelled; + + /** Aborted flag. */ + private boolean aborted; + + /** + * @param mapSplit Map split to add. + * @return {@code True} if mapper was added. + */ + private boolean addMapper(HadoopInputSplit mapSplit) { + return currMappers.add(mapSplit); + } + + /** + * @param rdc Reducer number to add. + * @return {@code True} if reducer was added. + */ + private boolean addReducer(int rdc) { + return currReducers.add(rdc); + } + + /** + * Checks whether this split was scheduled for given attempt. + * + * @param mapSplit Map split to check. + * @return {@code True} if mapper was scheduled. + */ + public boolean mapperScheduled(HadoopInputSplit mapSplit) { + return currMappers.contains(mapSplit); + } + + /** + * Checks whether this split was scheduled for given attempt. + * + * @param rdc Reducer number to check. + * @return {@code True} if reducer was scheduled. + */ + public boolean reducerScheduled(int rdc) { + return currReducers.contains(rdc); + } + + /** + * @param taskInfo Task info. + * @param status Task status. + * @param prev Previous closure. + */ + private void onSetupFinished(final HadoopTaskInfo taskInfo, HadoopTaskStatus status, StackedProcessor prev) { + final HadoopJobId jobId = taskInfo.jobId(); + + if (status.state() == FAILED || status.state() == CRASHED) + transform(jobId, new CancelJobProcessor(prev, status.failCause())); + else + transform(jobId, new UpdatePhaseProcessor(prev, PHASE_MAP)); + } + + /** + * @param taskInfo Task info. + * @param status Task status. + * @param prev Previous closure. + */ + private void onMapFinished(final HadoopTaskInfo taskInfo, HadoopTaskStatus status, + final StackedProcessor prev) { + final HadoopJobId jobId = taskInfo.jobId(); + + boolean lastMapperFinished = completedMappersCnt.incrementAndGet() == currMappers.size(); + + if (status.state() == FAILED || status.state() == CRASHED) { + // Fail the whole job. + transform(jobId, new RemoveMappersProcessor(prev, taskInfo.inputSplit(), status.failCause())); + + return; + } + + IgniteInClosure<IgniteInternalFuture<?>> cacheUpdater = new CIX1<IgniteInternalFuture<?>>() { + @Override public void applyx(IgniteInternalFuture<?> f) { + Throwable err = null; + + if (f != null) { + try { + f.get(); + } + catch (IgniteCheckedException e) { + err = e; + } + } + + transform(jobId, new RemoveMappersProcessor(prev, taskInfo.inputSplit(), err)); + } + }; + + if (lastMapperFinished) + ctx.shuffle().flush(jobId).listenAsync(cacheUpdater); + else + cacheUpdater.apply(null); + } + + /** + * @param taskInfo Task info. + * @param status Task status. + * @param prev Previous closure. + */ + private void onReduceFinished(HadoopTaskInfo taskInfo, HadoopTaskStatus status, StackedProcessor prev) { + HadoopJobId jobId = taskInfo.jobId(); + if (status.state() == FAILED || status.state() == CRASHED) + // Fail the whole job. + transform(jobId, new RemoveReducerProcessor(prev, taskInfo.taskNumber(), status.failCause())); + else + transform(jobId, new RemoveReducerProcessor(prev, taskInfo.taskNumber())); + } + + /** + * @param taskInfo Task info. + * @param status Task status. + * @param prev Previous closure. + */ + private void onCombineFinished(HadoopTaskInfo taskInfo, HadoopTaskStatus status, + final StackedProcessor prev) { + final HadoopJobId jobId = taskInfo.jobId(); + + if (status.state() == FAILED || status.state() == CRASHED) + // Fail the whole job. + transform(jobId, new RemoveMappersProcessor(prev, currMappers, status.failCause())); + else { + ctx.shuffle().flush(jobId).listenAsync(new CIX1<IgniteInternalFuture<?>>() { + @Override public void applyx(IgniteInternalFuture<?> f) { + Throwable err = null; + + if (f != null) { + try { + f.get(); + } + catch (IgniteCheckedException e) { + err = e; + } + } + + transform(jobId, new RemoveMappersProcessor(prev, currMappers, err)); + } + }); + } + } + + /** + * @return {@code True} if job was cancelled by this (first) call. + */ + public boolean onCancel() { + if (!cancelled && !aborted) { + cancelled = true; + + return true; + } + + return false; + } + + /** + * @return {@code True} if job was aborted this (first) call. + */ + public boolean onAborted() { + if (!aborted) { + aborted = true; + + return true; + } + + return false; + } + } + + /** + * Update job phase transform closure. + */ + private static class UpdatePhaseProcessor extends StackedProcessor { + /** */ + private static final long serialVersionUID = 0L; + + /** Phase to update. */ + private final HadoopJobPhase phase; + + /** + * @param prev Previous closure. + * @param phase Phase to update. + */ + private UpdatePhaseProcessor(@Nullable StackedProcessor prev, HadoopJobPhase phase) { + super(prev); + + this.phase = phase; + } + + /** {@inheritDoc} */ + @Override protected void update(HadoopJobMetadata meta, HadoopJobMetadata cp) { + cp.phase(phase); + } + } + + /** + * Remove mapper transform closure. + */ + private static class RemoveMappersProcessor extends StackedProcessor { + /** */ + private static final long serialVersionUID = 0L; + + /** Mapper split to remove. */ + private final Collection<HadoopInputSplit> splits; + + /** Error. */ + private final Throwable err; + + /** + * @param prev Previous closure. + * @param split Mapper split to remove. + * @param err Error. + */ + private RemoveMappersProcessor(@Nullable StackedProcessor prev, HadoopInputSplit split, Throwable err) { + this(prev, Collections.singletonList(split), err); + } + + /** + * @param prev Previous closure. + * @param splits Mapper splits to remove. + * @param err Error. + */ + private RemoveMappersProcessor(@Nullable StackedProcessor prev, Collection<HadoopInputSplit> splits, + Throwable err) { + super(prev); + + this.splits = splits; + this.err = err; + } + + /** {@inheritDoc} */ + @Override protected void update(HadoopJobMetadata meta, HadoopJobMetadata cp) { + Map<HadoopInputSplit, Integer> splitsCp = new HashMap<>(cp.pendingSplits()); + + for (HadoopInputSplit s : splits) + splitsCp.remove(s); + + cp.pendingSplits(splitsCp); + + if (cp.phase() != PHASE_CANCELLING && err != null) + cp.failCause(err); + + if (err != null) + cp.phase(PHASE_CANCELLING); + + if (splitsCp.isEmpty()) { + if (cp.phase() != PHASE_CANCELLING) + cp.phase(PHASE_REDUCE); + } + } + } + + /** + * Remove reducer transform closure. + */ + private static class RemoveReducerProcessor extends StackedProcessor { + /** */ + private static final long serialVersionUID = 0L; + + /** Mapper split to remove. */ + private final int rdc; + + /** Error. */ + private Throwable err; + + /** + * @param prev Previous closure. + * @param rdc Reducer to remove. + */ + private RemoveReducerProcessor(@Nullable StackedProcessor prev, int rdc) { + super(prev); + + this.rdc = rdc; + } + + /** + * @param prev Previous closure. + * @param rdc Reducer to remove. + * @param err Error. + */ + private RemoveReducerProcessor(@Nullable StackedProcessor prev, int rdc, Throwable err) { + super(prev); + + this.rdc = rdc; + this.err = err; + } + + /** {@inheritDoc} */ + @Override protected void update(HadoopJobMetadata meta, HadoopJobMetadata cp) { + Collection<Integer> rdcCp = new HashSet<>(cp.pendingReducers()); + + rdcCp.remove(rdc); + + cp.pendingReducers(rdcCp); + + if (err != null) { + cp.phase(PHASE_CANCELLING); + cp.failCause(err); + } + } + } + + /** + * Initialize reducers. + */ + private static class InitializeReducersProcessor extends StackedProcessor { + /** */ + private static final long serialVersionUID = 0L; + + /** Reducers. */ + private final Collection<Integer> rdc; + + /** Process descriptor for reducers. */ + private final HadoopProcessDescriptor desc; + + /** + * @param prev Previous closure. + * @param rdc Reducers to initialize. + * @param desc External process descriptor. + */ + private InitializeReducersProcessor(@Nullable StackedProcessor prev, + Collection<Integer> rdc, + HadoopProcessDescriptor desc) { + super(prev); + + assert !F.isEmpty(rdc); + assert desc != null; + + this.rdc = rdc; + this.desc = desc; + } + + /** {@inheritDoc} */ + @Override protected void update(HadoopJobMetadata meta, HadoopJobMetadata cp) { + Map<Integer, HadoopProcessDescriptor> oldMap = meta.reducersAddresses(); + + Map<Integer, HadoopProcessDescriptor> rdcMap = oldMap == null ? + new HashMap<Integer, HadoopProcessDescriptor>() : new HashMap<>(oldMap); + + for (Integer r : rdc) + rdcMap.put(r, desc); + + cp.reducersAddresses(rdcMap); + } + } + + /** + * Remove reducer transform closure. + */ + private static class CancelJobProcessor extends StackedProcessor { + /** */ + private static final long serialVersionUID = 0L; + + /** Mapper split to remove. */ + private final Collection<HadoopInputSplit> splits; + + /** Reducers to remove. */ + private final Collection<Integer> rdc; + + /** Error. */ + private final Throwable err; + + /** + * @param prev Previous closure. + * @param err Fail cause. + */ + private CancelJobProcessor(@Nullable StackedProcessor prev, Throwable err) { + this(prev, err, null, null); + } + + /** + * @param prev Previous closure. + * @param splits Splits to remove. + * @param rdc Reducers to remove. + */ + private CancelJobProcessor(@Nullable StackedProcessor prev, + Collection<HadoopInputSplit> splits, + Collection<Integer> rdc) { + this(prev, null, splits, rdc); + } + + /** + * @param prev Previous closure. + * @param err Error. + * @param splits Splits to remove. + * @param rdc Reducers to remove. + */ + private CancelJobProcessor(@Nullable StackedProcessor prev, + Throwable err, + Collection<HadoopInputSplit> splits, + Collection<Integer> rdc) { + super(prev); + + this.splits = splits; + this.rdc = rdc; + this.err = err; + } + + /** {@inheritDoc} */ + @Override protected void update(HadoopJobMetadata meta, HadoopJobMetadata cp) { + assert meta.phase() == PHASE_CANCELLING || err != null: "Invalid phase for cancel: " + meta; + + Collection<Integer> rdcCp = new HashSet<>(cp.pendingReducers()); + + if (rdc != null) + rdcCp.removeAll(rdc); + + cp.pendingReducers(rdcCp); + + Map<HadoopInputSplit, Integer> splitsCp = new HashMap<>(cp.pendingSplits()); + + if (splits != null) { + for (HadoopInputSplit s : splits) + splitsCp.remove(s); + } + + cp.pendingSplits(splitsCp); + + cp.phase(PHASE_CANCELLING); + + if (err != null) + cp.failCause(err); + } + } + + /** + * Increment counter values closure. + */ + private static class IncrementCountersProcessor extends StackedProcessor { + /** */ + private static final long serialVersionUID = 0L; + + /** */ + private final HadoopCounters counters; + + /** + * @param prev Previous closure. + * @param counters Task counters to add into job counters. + */ + private IncrementCountersProcessor(@Nullable StackedProcessor prev, HadoopCounters counters) { + super(prev); + + assert counters != null; + + this.counters = counters; + } + + /** {@inheritDoc} */ + @Override protected void update(HadoopJobMetadata meta, HadoopJobMetadata cp) { + HadoopCounters cntrs = new HadoopCountersImpl(cp.counters()); + + cntrs.merge(counters); + + cp.counters(cntrs); + } + } + + /** + * Abstract stacked closure. + */ + private abstract static class StackedProcessor implements + EntryProcessor<HadoopJobId, HadoopJobMetadata, Void>, Serializable { + /** */ + private static final long serialVersionUID = 0L; + + /** */ + private final StackedProcessor prev; + + /** + * @param prev Previous closure. + */ + private StackedProcessor(@Nullable StackedProcessor prev) { + this.prev = prev; + } + + /** {@inheritDoc} */ + @Override public Void process(MutableEntry<HadoopJobId, HadoopJobMetadata> e, Object... args) { + HadoopJobMetadata val = apply(e.getValue()); + + if (val != null) + e.setValue(val); + else + e.remove();; + + return null; + } + + /** + * @param meta Old value. + * @return New value. + */ + private HadoopJobMetadata apply(HadoopJobMetadata meta) { + if (meta == null) + return null; + + HadoopJobMetadata cp = prev != null ? prev.apply(meta) : new HadoopJobMetadata(meta); + + update(meta, cp); + + return cp; + } + + /** + * Update given job metadata object. + * + * @param meta Initial job metadata. + * @param cp Copy. + */ + protected abstract void update(HadoopJobMetadata meta, HadoopJobMetadata cp); + } +}
http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/GridHadoopMessage.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/GridHadoopMessage.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/GridHadoopMessage.java deleted file mode 100644 index 1670a8a..0000000 --- a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/GridHadoopMessage.java +++ /dev/null @@ -1,27 +0,0 @@ -/* - * 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.ignite.internal.processors.hadoop.message; - -import java.io.*; - -/** - * Marker interface for all hadoop messages. - */ -public interface GridHadoopMessage extends Externalizable { - // No-op. -} http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/HadoopMessage.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/HadoopMessage.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/HadoopMessage.java new file mode 100644 index 0000000..cab6138 --- /dev/null +++ b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/message/HadoopMessage.java @@ -0,0 +1,27 @@ +/* + * 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.ignite.internal.processors.hadoop.message; + +import java.io.*; + +/** + * Marker interface for all hadoop messages. + */ +public interface HadoopMessage extends Externalizable { + // No-op. +} http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlan.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlan.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlan.java deleted file mode 100644 index 7988403..0000000 --- a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlan.java +++ /dev/null @@ -1,107 +0,0 @@ -/* - * 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.ignite.internal.processors.hadoop.planner; - -import org.apache.ignite.internal.processors.hadoop.*; -import org.jetbrains.annotations.*; - -import java.util.*; - -/** - * Map-reduce plan. - */ -public class GridHadoopDefaultMapReducePlan implements GridHadoopMapReducePlan { - /** */ - private static final long serialVersionUID = 0L; - - /** Mappers map. */ - private Map<UUID, Collection<GridHadoopInputSplit>> mappers; - - /** Reducers map. */ - private Map<UUID, int[]> reducers; - - /** Mappers count. */ - private int mappersCnt; - - /** Reducers count. */ - private int reducersCnt; - - /** - * @param mappers Mappers map. - * @param reducers Reducers map. - */ - public GridHadoopDefaultMapReducePlan(Map<UUID, Collection<GridHadoopInputSplit>> mappers, - Map<UUID, int[]> reducers) { - this.mappers = mappers; - this.reducers = reducers; - - if (mappers != null) { - for (Collection<GridHadoopInputSplit> splits : mappers.values()) - mappersCnt += splits.size(); - } - - if (reducers != null) { - for (int[] rdcrs : reducers.values()) - reducersCnt += rdcrs.length; - } - } - - /** {@inheritDoc} */ - @Override public int mappers() { - return mappersCnt; - } - - /** {@inheritDoc} */ - @Override public int reducers() { - return reducersCnt; - } - - /** {@inheritDoc} */ - @Override public UUID nodeForReducer(int reducer) { - assert reducer >= 0 && reducer < reducersCnt : reducer; - - for (Map.Entry<UUID, int[]> entry : reducers.entrySet()) { - for (int r : entry.getValue()) { - if (r == reducer) - return entry.getKey(); - } - } - - throw new IllegalStateException("Not found reducer index: " + reducer); - } - - /** {@inheritDoc} */ - @Override @Nullable public Collection<GridHadoopInputSplit> mappers(UUID nodeId) { - return mappers.get(nodeId); - } - - /** {@inheritDoc} */ - @Override @Nullable public int[] reducers(UUID nodeId) { - return reducers.get(nodeId); - } - - /** {@inheritDoc} */ - @Override public Collection<UUID> mapperNodeIds() { - return mappers.keySet(); - } - - /** {@inheritDoc} */ - @Override public Collection<UUID> reducerNodeIds() { - return reducers.keySet(); - } -} http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlanner.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlanner.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlanner.java deleted file mode 100644 index 342cbab..0000000 --- a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/GridHadoopDefaultMapReducePlanner.java +++ /dev/null @@ -1,434 +0,0 @@ -/* - * 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.ignite.internal.processors.hadoop.planner; - -import org.apache.ignite.*; -import org.apache.ignite.cluster.*; -import org.apache.ignite.igfs.*; -import org.apache.ignite.internal.*; -import org.apache.ignite.internal.igfs.hadoop.*; -import org.apache.ignite.internal.processors.igfs.*; -import org.apache.ignite.internal.processors.hadoop.*; -import org.apache.ignite.internal.util.typedef.*; -import org.apache.ignite.internal.util.typedef.internal.*; -import org.apache.ignite.resources.*; -import org.jetbrains.annotations.*; - -import java.util.*; - -import static org.apache.ignite.IgniteFs.*; - -/** - * Default map-reduce planner implementation. - */ -public class GridHadoopDefaultMapReducePlanner implements GridHadoopMapReducePlanner { - /** Injected grid. */ - @IgniteInstanceResource - private Ignite ignite; - - /** Logger. */ - @SuppressWarnings("UnusedDeclaration") - @LoggerResource - private IgniteLogger log; - - /** {@inheritDoc} */ - @Override public GridHadoopMapReducePlan preparePlan(GridHadoopJob job, Collection<ClusterNode> top, - @Nullable GridHadoopMapReducePlan oldPlan) throws IgniteCheckedException { - // Convert collection of topology nodes to collection of topology node IDs. - Collection<UUID> topIds = new HashSet<>(top.size(), 1.0f); - - for (ClusterNode topNode : top) - topIds.add(topNode.id()); - - Map<UUID, Collection<GridHadoopInputSplit>> mappers = mappers(top, topIds, job.input()); - - int rdcCnt = job.info().reducers(); - - if (rdcCnt < 0) - throw new IgniteCheckedException("Number of reducers must be non-negative, actual: " + rdcCnt); - - Map<UUID, int[]> reducers = reducers(top, mappers, rdcCnt); - - return new GridHadoopDefaultMapReducePlan(mappers, reducers); - } - - /** - * Create plan for mappers. - * - * @param top Topology nodes. - * @param topIds Topology node IDs. - * @param splits Splits. - * @return Mappers map. - * @throws IgniteCheckedException If failed. - */ - private Map<UUID, Collection<GridHadoopInputSplit>> mappers(Collection<ClusterNode> top, Collection<UUID> topIds, - Iterable<GridHadoopInputSplit> splits) throws IgniteCheckedException { - Map<UUID, Collection<GridHadoopInputSplit>> mappers = new HashMap<>(); - - Map<String, Collection<UUID>> nodes = hosts(top); - - Map<UUID, Integer> nodeLoads = new HashMap<>(top.size(), 1.0f); // Track node load. - - for (UUID nodeId : topIds) - nodeLoads.put(nodeId, 0); - - for (GridHadoopInputSplit split : splits) { - UUID nodeId = nodeForSplit(split, topIds, nodes, nodeLoads); - - if (log.isDebugEnabled()) - log.debug("Mapped split to node [split=" + split + ", nodeId=" + nodeId + ']'); - - Collection<GridHadoopInputSplit> nodeSplits = mappers.get(nodeId); - - if (nodeSplits == null) { - nodeSplits = new ArrayList<>(); - - mappers.put(nodeId, nodeSplits); - } - - nodeSplits.add(split); - - // Updated node load. - nodeLoads.put(nodeId, nodeLoads.get(nodeId) + 1); - } - - return mappers; - } - - /** - * Groups nodes by host names. - * - * @param top Topology to group. - * @return Map. - */ - private static Map<String, Collection<UUID>> hosts(Collection<ClusterNode> top) { - Map<String, Collection<UUID>> grouped = U.newHashMap(top.size()); - - for (ClusterNode node : top) { - for (String host : node.hostNames()) { - Collection<UUID> nodeIds = grouped.get(host); - - if (nodeIds == null) { - // Expecting 1-2 nodes per host. - nodeIds = new ArrayList<>(2); - - grouped.put(host, nodeIds); - } - - nodeIds.add(node.id()); - } - } - - return grouped; - } - - /** - * Determine the best node for this split. - * - * @param split Split. - * @param topIds Topology node IDs. - * @param nodes Nodes. - * @param nodeLoads Node load tracker. - * @return Node ID. - */ - @SuppressWarnings("unchecked") - private UUID nodeForSplit(GridHadoopInputSplit split, Collection<UUID> topIds, Map<String, Collection<UUID>> nodes, - Map<UUID, Integer> nodeLoads) throws IgniteCheckedException { - if (split instanceof GridHadoopFileBlock) { - GridHadoopFileBlock split0 = (GridHadoopFileBlock)split; - - if (IGFS_SCHEME.equalsIgnoreCase(split0.file().getScheme())) { - IgfsHadoopEndpoint endpoint = new IgfsHadoopEndpoint(split0.file().getAuthority()); - - IgfsEx igfs = null; - - if (F.eq(ignite.name(), endpoint.grid())) - igfs = (IgfsEx)((IgniteEx)ignite).igfsx(endpoint.igfs()); - - if (igfs != null && !igfs.isProxy(split0.file())) { - Collection<IgfsBlockLocation> blocks; - - try { - blocks = igfs.affinity(new IgfsPath(split0.file()), split0.start(), split0.length()); - } - catch (IgniteException e) { - throw new IgniteCheckedException(e); - } - - assert blocks != null; - - if (blocks.size() == 1) - // Fast-path, split consists of one IGFS block (as in most cases). - return bestNode(blocks.iterator().next().nodeIds(), topIds, nodeLoads, false); - else { - // Slow-path, file consists of multiple IGFS blocks. First, find the most co-located nodes. - Map<UUID, Long> nodeMap = new HashMap<>(); - - List<UUID> bestNodeIds = null; - long bestLen = -1L; - - for (IgfsBlockLocation block : blocks) { - for (UUID blockNodeId : block.nodeIds()) { - if (topIds.contains(blockNodeId)) { - Long oldLen = nodeMap.get(blockNodeId); - long newLen = oldLen == null ? block.length() : oldLen + block.length(); - - nodeMap.put(blockNodeId, newLen); - - if (bestNodeIds == null || bestLen < newLen) { - bestNodeIds = new ArrayList<>(1); - - bestNodeIds.add(blockNodeId); - - bestLen = newLen; - } - else if (bestLen == newLen) { - assert !F.isEmpty(bestNodeIds); - - bestNodeIds.add(blockNodeId); - } - } - } - } - - if (bestNodeIds != null) { - return bestNodeIds.size() == 1 ? bestNodeIds.get(0) : - bestNode(bestNodeIds, topIds, nodeLoads, true); - } - } - } - } - } - - // Cannot use local IGFS for some reason, try selecting the node by host. - Collection<UUID> blockNodes = null; - - for (String host : split.hosts()) { - Collection<UUID> hostNodes = nodes.get(host); - - if (!F.isEmpty(hostNodes)) { - if (blockNodes == null) - blockNodes = new ArrayList<>(hostNodes); - else - blockNodes.addAll(hostNodes); - } - } - - return bestNode(blockNodes, topIds, nodeLoads, false); - } - - /** - * Finds the best (the least loaded) node among the candidates. - * - * @param candidates Candidates. - * @param topIds Topology node IDs. - * @param nodeLoads Known node loads. - * @param skipTopCheck Whether to skip topology check. - * @return The best node. - */ - private UUID bestNode(@Nullable Collection<UUID> candidates, Collection<UUID> topIds, Map<UUID, Integer> nodeLoads, - boolean skipTopCheck) { - UUID bestNode = null; - int bestLoad = Integer.MAX_VALUE; - - if (candidates != null) { - for (UUID candidate : candidates) { - if (skipTopCheck || topIds.contains(candidate)) { - int load = nodeLoads.get(candidate); - - if (bestNode == null || bestLoad > load) { - bestNode = candidate; - bestLoad = load; - - if (bestLoad == 0) - break; // Minimum load possible, no need for further iterations. - } - } - } - } - - if (bestNode == null) { - // Blocks are located on nodes which are not Hadoop-enabled, assign to the least loaded one. - bestLoad = Integer.MAX_VALUE; - - for (UUID nodeId : topIds) { - int load = nodeLoads.get(nodeId); - - if (bestNode == null || bestLoad > load) { - bestNode = nodeId; - bestLoad = load; - - if (bestLoad == 0) - break; // Minimum load possible, no need for further iterations. - } - } - } - - assert bestNode != null; - - return bestNode; - } - - /** - * Create plan for reducers. - * - * @param top Topology. - * @param mappers Mappers map. - * @param reducerCnt Reducers count. - * @return Reducers map. - */ - private Map<UUID, int[]> reducers(Collection<ClusterNode> top, - Map<UUID, Collection<GridHadoopInputSplit>> mappers, int reducerCnt) { - // Determine initial node weights. - int totalWeight = 0; - - List<WeightedNode> nodes = new ArrayList<>(top.size()); - - for (ClusterNode node : top) { - Collection<GridHadoopInputSplit> split = mappers.get(node.id()); - - int weight = reducerNodeWeight(node, split != null ? split.size() : 0); - - nodes.add(new WeightedNode(node.id(), weight, weight)); - - totalWeight += weight; - } - - // Adjust weights. - int totalAdjustedWeight = 0; - - for (WeightedNode node : nodes) { - node.floatWeight = ((float)node.weight * reducerCnt) / totalWeight; - - node.weight = Math.round(node.floatWeight); - - totalAdjustedWeight += node.weight; - } - - // Apply redundant/lost reducers. - Collections.sort(nodes); - - if (totalAdjustedWeight > reducerCnt) { - // Too much reducers set. - ListIterator<WeightedNode> iter = nodes.listIterator(nodes.size() - 1); - - while (totalAdjustedWeight != reducerCnt) { - if (!iter.hasPrevious()) - iter = nodes.listIterator(nodes.size() - 1); - - WeightedNode node = iter.previous(); - - if (node.weight > 0) { - node.weight -= 1; - - totalAdjustedWeight--; - } - } - } - else if (totalAdjustedWeight < reducerCnt) { - // Not enough reducers set. - ListIterator<WeightedNode> iter = nodes.listIterator(0); - - while (totalAdjustedWeight != reducerCnt) { - if (!iter.hasNext()) - iter = nodes.listIterator(0); - - WeightedNode node = iter.next(); - - if (node.floatWeight > 0.0f) { - node.weight += 1; - - totalAdjustedWeight++; - } - } - } - - int idx = 0; - - Map<UUID, int[]> reducers = new HashMap<>(nodes.size(), 1.0f); - - for (WeightedNode node : nodes) { - if (node.weight > 0) { - int[] arr = new int[node.weight]; - - for (int i = 0; i < arr.length; i++) - arr[i] = idx++; - - reducers.put(node.nodeId, arr); - } - } - - return reducers; - } - - /** - * Calculate node weight based on node metrics and data co-location. - * - * @param node Node. - * @param splitCnt Splits mapped to this node. - * @return Node weight. - */ - @SuppressWarnings("UnusedParameters") - protected int reducerNodeWeight(ClusterNode node, int splitCnt) { - return splitCnt; - } - - /** - * Weighted node. - */ - private static class WeightedNode implements Comparable<WeightedNode> { - /** Node ID. */ - private final UUID nodeId; - - /** Weight. */ - private int weight; - - /** Floating point weight. */ - private float floatWeight; - - /** - * Constructor. - * - * @param nodeId Node ID. - * @param weight Weight. - * @param floatWeight Floating point weight. - */ - private WeightedNode(UUID nodeId, int weight, float floatWeight) { - this.nodeId = nodeId; - this.weight = weight; - this.floatWeight = floatWeight; - } - - /** {@inheritDoc} */ - @Override public boolean equals(Object obj) { - return obj != null && obj instanceof WeightedNode && F.eq(nodeId, ((WeightedNode)obj).nodeId); - } - - /** {@inheritDoc} */ - @Override public int hashCode() { - return nodeId.hashCode(); - } - - /** {@inheritDoc} */ - @Override public int compareTo(@NotNull WeightedNode other) { - float res = other.floatWeight - floatWeight; - - return res > 0.0f ? 1 : res < 0.0f ? -1 : nodeId.compareTo(other.nodeId); - } - } -} http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/HadoopDefaultMapReducePlan.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/HadoopDefaultMapReducePlan.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/HadoopDefaultMapReducePlan.java new file mode 100644 index 0000000..1413612 --- /dev/null +++ b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/planner/HadoopDefaultMapReducePlan.java @@ -0,0 +1,107 @@ +/* + * 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.ignite.internal.processors.hadoop.planner; + +import org.apache.ignite.internal.processors.hadoop.*; +import org.jetbrains.annotations.*; + +import java.util.*; + +/** + * Map-reduce plan. + */ +public class HadoopDefaultMapReducePlan implements HadoopMapReducePlan { + /** */ + private static final long serialVersionUID = 0L; + + /** Mappers map. */ + private Map<UUID, Collection<HadoopInputSplit>> mappers; + + /** Reducers map. */ + private Map<UUID, int[]> reducers; + + /** Mappers count. */ + private int mappersCnt; + + /** Reducers count. */ + private int reducersCnt; + + /** + * @param mappers Mappers map. + * @param reducers Reducers map. + */ + public HadoopDefaultMapReducePlan(Map<UUID, Collection<HadoopInputSplit>> mappers, + Map<UUID, int[]> reducers) { + this.mappers = mappers; + this.reducers = reducers; + + if (mappers != null) { + for (Collection<HadoopInputSplit> splits : mappers.values()) + mappersCnt += splits.size(); + } + + if (reducers != null) { + for (int[] rdcrs : reducers.values()) + reducersCnt += rdcrs.length; + } + } + + /** {@inheritDoc} */ + @Override public int mappers() { + return mappersCnt; + } + + /** {@inheritDoc} */ + @Override public int reducers() { + return reducersCnt; + } + + /** {@inheritDoc} */ + @Override public UUID nodeForReducer(int reducer) { + assert reducer >= 0 && reducer < reducersCnt : reducer; + + for (Map.Entry<UUID, int[]> entry : reducers.entrySet()) { + for (int r : entry.getValue()) { + if (r == reducer) + return entry.getKey(); + } + } + + throw new IllegalStateException("Not found reducer index: " + reducer); + } + + /** {@inheritDoc} */ + @Override @Nullable public Collection<HadoopInputSplit> mappers(UUID nodeId) { + return mappers.get(nodeId); + } + + /** {@inheritDoc} */ + @Override @Nullable public int[] reducers(UUID nodeId) { + return reducers.get(nodeId); + } + + /** {@inheritDoc} */ + @Override public Collection<UUID> mapperNodeIds() { + return mappers.keySet(); + } + + /** {@inheritDoc} */ + @Override public Collection<UUID> reducerNodeIds() { + return reducers.keySet(); + } +} http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobCountersTask.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobCountersTask.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobCountersTask.java deleted file mode 100644 index 37073d9..0000000 --- a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobCountersTask.java +++ /dev/null @@ -1,45 +0,0 @@ -/* - * 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.ignite.internal.processors.hadoop.proto; - -import org.apache.ignite.*; -import org.apache.ignite.compute.*; -import org.apache.ignite.internal.processors.hadoop.*; - -import java.util.*; - -/** - * Task to get job counters. - */ -public class GridHadoopProtocolJobCountersTask extends GridHadoopProtocolTaskAdapter<GridHadoopCounters> { - /** */ - private static final long serialVersionUID = 0L; - - /** {@inheritDoc} */ - @Override public GridHadoopCounters run(ComputeJobContext jobCtx, GridHadoop hadoop, - GridHadoopProtocolTaskArguments args) throws IgniteCheckedException { - - UUID nodeId = UUID.fromString(args.<String>get(0)); - Integer id = args.get(1); - - assert nodeId != null; - assert id != null; - - return hadoop.counters(new GridHadoopJobId(nodeId, id)); - } -} http://git-wip-us.apache.org/repos/asf/incubator-ignite/blob/6423cf02/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobStatusTask.java ---------------------------------------------------------------------- diff --git a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobStatusTask.java b/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobStatusTask.java deleted file mode 100644 index de4f89c..0000000 --- a/modules/hadoop/src/main/java/org/apache/ignite/internal/processors/hadoop/proto/GridHadoopProtocolJobStatusTask.java +++ /dev/null @@ -1,81 +0,0 @@ -/* - * 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.ignite.internal.processors.hadoop.proto; - -import org.apache.ignite.*; -import org.apache.ignite.compute.*; -import org.apache.ignite.internal.*; -import org.apache.ignite.internal.processors.hadoop.*; -import org.apache.ignite.internal.util.typedef.*; -import org.apache.ignite.lang.*; - -import java.util.*; - -/** - * Job status task. - */ -public class GridHadoopProtocolJobStatusTask extends GridHadoopProtocolTaskAdapter<GridHadoopJobStatus> { - /** */ - private static final long serialVersionUID = 0L; - - /** Default poll delay */ - private static final long DFLT_POLL_DELAY = 100L; - - /** Attribute for held status. */ - private static final String ATTR_HELD = "held"; - - /** {@inheritDoc} */ - @Override public GridHadoopJobStatus run(final ComputeJobContext jobCtx, GridHadoop hadoop, - GridHadoopProtocolTaskArguments args) throws IgniteCheckedException { - UUID nodeId = UUID.fromString(args.<String>get(0)); - Integer id = args.get(1); - Long pollDelay = args.get(2); - - assert nodeId != null; - assert id != null; - - GridHadoopJobId jobId = new GridHadoopJobId(nodeId, id); - - if (pollDelay == null) - pollDelay = DFLT_POLL_DELAY; - - if (pollDelay > 0) { - IgniteInternalFuture<?> fut = hadoop.finishFuture(jobId); - - if (fut != null) { - if (fut.isDone() || F.eq(jobCtx.getAttribute(ATTR_HELD), true)) - return hadoop.status(jobId); - else { - fut.listenAsync(new IgniteInClosure<IgniteInternalFuture<?>>() { - @Override public void apply(IgniteInternalFuture<?> fut0) { - jobCtx.callcc(); - } - }); - - jobCtx.setAttribute(ATTR_HELD, true); - - return jobCtx.holdcc(pollDelay); - } - } - else - return null; - } - else - return hadoop.status(jobId); - } -}
