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Example 36 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project hbase by apache.

the class CacheTestUtils method testCacheMultiThreaded.

public static void testCacheMultiThreaded(final BlockCache toBeTested, final int blockSize, final int numThreads, final int numQueries, final double passingScore) throws Exception {
    Configuration conf = new Configuration();
    MultithreadedTestUtil.TestContext ctx = new MultithreadedTestUtil.TestContext(conf);
    final AtomicInteger totalQueries = new AtomicInteger();
    final ConcurrentLinkedQueue<HFileBlockPair> blocksToTest = new ConcurrentLinkedQueue<>();
    final AtomicInteger hits = new AtomicInteger();
    final AtomicInteger miss = new AtomicInteger();
    HFileBlockPair[] blocks = generateHFileBlocks(numQueries, blockSize);
    blocksToTest.addAll(Arrays.asList(blocks));
    for (int i = 0; i < numThreads; i++) {
        TestThread t = new MultithreadedTestUtil.RepeatingTestThread(ctx) {

            @Override
            public void doAnAction() throws Exception {
                if (!blocksToTest.isEmpty()) {
                    HFileBlockPair ourBlock = blocksToTest.poll();
                    // if we run out of blocks to test, then we should stop the tests.
                    if (ourBlock == null) {
                        ctx.setStopFlag(true);
                        return;
                    }
                    toBeTested.cacheBlock(ourBlock.blockName, ourBlock.block);
                    Cacheable retrievedBlock = toBeTested.getBlock(ourBlock.blockName, false, false, true);
                    if (retrievedBlock != null) {
                        assertEquals(ourBlock.block, retrievedBlock);
                        toBeTested.evictBlock(ourBlock.blockName);
                        hits.incrementAndGet();
                        assertNull(toBeTested.getBlock(ourBlock.blockName, false, false, true));
                    } else {
                        miss.incrementAndGet();
                    }
                    totalQueries.incrementAndGet();
                }
            }
        };
        t.setDaemon(true);
        ctx.addThread(t);
    }
    ctx.startThreads();
    while (!blocksToTest.isEmpty() && ctx.shouldRun()) {
        Thread.sleep(10);
    }
    ctx.stop();
    if (hits.get() / ((double) hits.get() + (double) miss.get()) < passingScore) {
        fail("Too many nulls returned. Hits: " + hits.get() + " Misses: " + miss.get());
    }
}
Also used : Configuration(org.apache.hadoop.conf.Configuration) TestThread(org.apache.hadoop.hbase.MultithreadedTestUtil.TestThread) AtomicInteger(java.util.concurrent.atomic.AtomicInteger) MultithreadedTestUtil(org.apache.hadoop.hbase.MultithreadedTestUtil) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue)

Example 37 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project hive by apache.

the class HiveMetaStoreChecker method checkPartitionDirs.

private void checkPartitionDirs(final ExecutorService executor, final Path basePath, final Set<Path> result, final FileSystem fs, final int maxDepth) throws HiveException {
    try {
        Queue<Future<Path>> futures = new LinkedList<Future<Path>>();
        ConcurrentLinkedQueue<PathDepthInfo> nextLevel = new ConcurrentLinkedQueue<>();
        nextLevel.add(new PathDepthInfo(basePath, 0));
        //not done right
        while (!nextLevel.isEmpty()) {
            ConcurrentLinkedQueue<PathDepthInfo> tempQueue = new ConcurrentLinkedQueue<>();
            //process each level in parallel
            while (!nextLevel.isEmpty()) {
                futures.add(executor.submit(new PathDepthInfoCallable(nextLevel.poll(), maxDepth, fs, tempQueue)));
            }
            while (!futures.isEmpty()) {
                Path p = futures.poll().get();
                if (p != null) {
                    result.add(p);
                }
            }
            //update the nextlevel with newly discovered sub-directories from the above
            nextLevel = tempQueue;
        }
    } catch (InterruptedException | ExecutionException e) {
        LOG.error(e.getMessage());
        executor.shutdownNow();
        throw new HiveException(e.getCause());
    }
}
Also used : Path(org.apache.hadoop.fs.Path) Future(java.util.concurrent.Future) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) ExecutionException(java.util.concurrent.ExecutionException) LinkedList(java.util.LinkedList)

Example 38 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project tomcat by apache.

the class ConcurrentMessageDigest method init.

/**
     * Ensures that {@link #digest(String, byte[][])} will support the specified
     * algorithm. This method <b>must</b> be called and return successfully
     * before using {@link #digest(String, byte[][])}.
     *
     * @param algorithm The message digest algorithm to be supported
     *
     * @throws NoSuchAlgorithmException If the algorithm is not supported by the
     *                                  JVM
     */
public static void init(String algorithm) throws NoSuchAlgorithmException {
    synchronized (queues) {
        if (!queues.containsKey(algorithm)) {
            MessageDigest md = MessageDigest.getInstance(algorithm);
            Queue<MessageDigest> queue = new ConcurrentLinkedQueue<>();
            queue.add(md);
            queues.put(algorithm, queue);
        }
    }
}
Also used : MessageDigest(java.security.MessageDigest) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue)

Example 39 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project tomcat by apache.

the class TestOrderInterceptor method testOrder2.

@Test
public void testOrder2() throws Exception {
    final Member[] dest = channels[0].getMembers();
    final AtomicInteger value = new AtomicInteger(0);
    final Queue<Exception> exceptionQueue = new ConcurrentLinkedQueue<>();
    Runnable run = new Runnable() {

        @Override
        public void run() {
            for (int i = 0; i < 100; i++) {
                try {
                    synchronized (channels[0]) {
                        channels[0].send(dest, Integer.valueOf(value.getAndAdd(1)), 0);
                    }
                } catch (Exception x) {
                    exceptionQueue.add(x);
                }
            }
        }
    };
    Thread[] threads = new Thread[5];
    for (int i = 0; i < threads.length; i++) {
        threads[i] = new Thread(run);
    }
    for (int i = 0; i < threads.length; i++) {
        threads[i].start();
    }
    for (int i = 0; i < threads.length; i++) {
        threads[i].join();
    }
    if (!exceptionQueue.isEmpty()) {
        fail("Exception while sending in threads: " + exceptionQueue.remove().toString());
    }
    Thread.sleep(5000);
    for (int i = 0; i < test.length; i++) {
        assertFalse(test[i].fail);
    }
}
Also used : AtomicInteger(java.util.concurrent.atomic.AtomicInteger) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Member(org.apache.catalina.tribes.Member) ChannelException(org.apache.catalina.tribes.ChannelException) Test(org.junit.Test)

Example 40 with ConcurrentLinkedQueue

use of java.util.concurrent.ConcurrentLinkedQueue in project druid by druid-io.

the class CachingClusteredClient method run.

@Override
public Sequence<T> run(final Query<T> query, final Map<String, Object> responseContext) {
    final QueryToolChest<T, Query<T>> toolChest = warehouse.getToolChest(query);
    final CacheStrategy<T, Object, Query<T>> strategy = toolChest.getCacheStrategy(query);
    final Map<DruidServer, List<SegmentDescriptor>> serverSegments = Maps.newTreeMap();
    final List<Pair<Interval, byte[]>> cachedResults = Lists.newArrayList();
    final Map<String, CachePopulator> cachePopulatorMap = Maps.newHashMap();
    final boolean useCache = CacheUtil.useCacheOnBrokers(query, strategy, cacheConfig);
    final boolean populateCache = CacheUtil.populateCacheOnBrokers(query, strategy, cacheConfig);
    final boolean isBySegment = BaseQuery.getContextBySegment(query, false);
    final ImmutableMap.Builder<String, Object> contextBuilder = new ImmutableMap.Builder<>();
    final int priority = BaseQuery.getContextPriority(query, 0);
    contextBuilder.put("priority", priority);
    if (populateCache) {
        // prevent down-stream nodes from caching results as well if we are populating the cache
        contextBuilder.put(CacheConfig.POPULATE_CACHE, false);
        contextBuilder.put("bySegment", true);
    }
    TimelineLookup<String, ServerSelector> timeline = serverView.getTimeline(query.getDataSource());
    if (timeline == null) {
        return Sequences.empty();
    }
    // build set of segments to query
    Set<Pair<ServerSelector, SegmentDescriptor>> segments = Sets.newLinkedHashSet();
    List<TimelineObjectHolder<String, ServerSelector>> serversLookup = Lists.newLinkedList();
    // Note that enabling this leads to putting uncovered intervals information in the response headers
    // and might blow up in some cases https://github.com/druid-io/druid/issues/2108
    int uncoveredIntervalsLimit = BaseQuery.getContextUncoveredIntervalsLimit(query, 0);
    if (uncoveredIntervalsLimit > 0) {
        List<Interval> uncoveredIntervals = Lists.newArrayListWithCapacity(uncoveredIntervalsLimit);
        boolean uncoveredIntervalsOverflowed = false;
        for (Interval interval : query.getIntervals()) {
            Iterable<TimelineObjectHolder<String, ServerSelector>> lookup = timeline.lookup(interval);
            long startMillis = interval.getStartMillis();
            long endMillis = interval.getEndMillis();
            for (TimelineObjectHolder<String, ServerSelector> holder : lookup) {
                Interval holderInterval = holder.getInterval();
                long intervalStart = holderInterval.getStartMillis();
                if (!uncoveredIntervalsOverflowed && startMillis != intervalStart) {
                    if (uncoveredIntervalsLimit > uncoveredIntervals.size()) {
                        uncoveredIntervals.add(new Interval(startMillis, intervalStart));
                    } else {
                        uncoveredIntervalsOverflowed = true;
                    }
                }
                startMillis = holderInterval.getEndMillis();
                serversLookup.add(holder);
            }
            if (!uncoveredIntervalsOverflowed && startMillis < endMillis) {
                if (uncoveredIntervalsLimit > uncoveredIntervals.size()) {
                    uncoveredIntervals.add(new Interval(startMillis, endMillis));
                } else {
                    uncoveredIntervalsOverflowed = true;
                }
            }
        }
        if (!uncoveredIntervals.isEmpty()) {
            // This returns intervals for which NO segment is present.
            // Which is not necessarily an indication that the data doesn't exist or is
            // incomplete. The data could exist and just not be loaded yet.  In either
            // case, though, this query will not include any data from the identified intervals.
            responseContext.put("uncoveredIntervals", uncoveredIntervals);
            responseContext.put("uncoveredIntervalsOverflowed", uncoveredIntervalsOverflowed);
        }
    } else {
        for (Interval interval : query.getIntervals()) {
            Iterables.addAll(serversLookup, timeline.lookup(interval));
        }
    }
    // Let tool chest filter out unneeded segments
    final List<TimelineObjectHolder<String, ServerSelector>> filteredServersLookup = toolChest.filterSegments(query, serversLookup);
    Map<String, Optional<RangeSet<String>>> dimensionRangeCache = Maps.newHashMap();
    // Filter unneeded chunks based on partition dimension
    for (TimelineObjectHolder<String, ServerSelector> holder : filteredServersLookup) {
        final Set<PartitionChunk<ServerSelector>> filteredChunks = DimFilterUtils.filterShards(query.getFilter(), holder.getObject(), new Function<PartitionChunk<ServerSelector>, ShardSpec>() {

            @Override
            public ShardSpec apply(PartitionChunk<ServerSelector> input) {
                return input.getObject().getSegment().getShardSpec();
            }
        }, dimensionRangeCache);
        for (PartitionChunk<ServerSelector> chunk : filteredChunks) {
            ServerSelector selector = chunk.getObject();
            final SegmentDescriptor descriptor = new SegmentDescriptor(holder.getInterval(), holder.getVersion(), chunk.getChunkNumber());
            segments.add(Pair.of(selector, descriptor));
        }
    }
    final byte[] queryCacheKey;
    if (// implies strategy != null
    (populateCache || useCache) && // explicit bySegment queries are never cached
    !isBySegment) {
        queryCacheKey = strategy.computeCacheKey(query);
    } else {
        queryCacheKey = null;
    }
    if (query.getContext().get(QueryResource.HDR_IF_NONE_MATCH) != null) {
        String prevEtag = (String) query.getContext().get(QueryResource.HDR_IF_NONE_MATCH);
        //compute current Etag
        Hasher hasher = Hashing.sha1().newHasher();
        boolean hasOnlyHistoricalSegments = true;
        for (Pair<ServerSelector, SegmentDescriptor> p : segments) {
            if (!p.lhs.pick().getServer().isAssignable()) {
                hasOnlyHistoricalSegments = false;
                break;
            }
            hasher.putString(p.lhs.getSegment().getIdentifier(), Charsets.UTF_8);
        }
        if (hasOnlyHistoricalSegments) {
            hasher.putBytes(queryCacheKey == null ? strategy.computeCacheKey(query) : queryCacheKey);
            String currEtag = Base64.encodeBase64String(hasher.hash().asBytes());
            responseContext.put(QueryResource.HDR_ETAG, currEtag);
            if (prevEtag.equals(currEtag)) {
                return Sequences.empty();
            }
        }
    }
    if (queryCacheKey != null) {
        // cachKeys map must preserve segment ordering, in order for shards to always be combined in the same order
        Map<Pair<ServerSelector, SegmentDescriptor>, Cache.NamedKey> cacheKeys = Maps.newLinkedHashMap();
        for (Pair<ServerSelector, SegmentDescriptor> segment : segments) {
            final Cache.NamedKey segmentCacheKey = CacheUtil.computeSegmentCacheKey(segment.lhs.getSegment().getIdentifier(), segment.rhs, queryCacheKey);
            cacheKeys.put(segment, segmentCacheKey);
        }
        // Pull cached segments from cache and remove from set of segments to query
        final Map<Cache.NamedKey, byte[]> cachedValues;
        if (useCache) {
            cachedValues = cache.getBulk(Iterables.limit(cacheKeys.values(), cacheConfig.getCacheBulkMergeLimit()));
        } else {
            cachedValues = ImmutableMap.of();
        }
        for (Map.Entry<Pair<ServerSelector, SegmentDescriptor>, Cache.NamedKey> entry : cacheKeys.entrySet()) {
            Pair<ServerSelector, SegmentDescriptor> segment = entry.getKey();
            Cache.NamedKey segmentCacheKey = entry.getValue();
            final Interval segmentQueryInterval = segment.rhs.getInterval();
            final byte[] cachedValue = cachedValues.get(segmentCacheKey);
            if (cachedValue != null) {
                // remove cached segment from set of segments to query
                segments.remove(segment);
                cachedResults.add(Pair.of(segmentQueryInterval, cachedValue));
            } else if (populateCache) {
                // otherwise, if populating cache, add segment to list of segments to cache
                final String segmentIdentifier = segment.lhs.getSegment().getIdentifier();
                cachePopulatorMap.put(String.format("%s_%s", segmentIdentifier, segmentQueryInterval), new CachePopulator(cache, objectMapper, segmentCacheKey));
            }
        }
    }
    // Compile list of all segments not pulled from cache
    for (Pair<ServerSelector, SegmentDescriptor> segment : segments) {
        final QueryableDruidServer queryableDruidServer = segment.lhs.pick();
        if (queryableDruidServer == null) {
            log.makeAlert("No servers found for SegmentDescriptor[%s] for DataSource[%s]?! How can this be?!", segment.rhs, query.getDataSource()).emit();
        } else {
            final DruidServer server = queryableDruidServer.getServer();
            List<SegmentDescriptor> descriptors = serverSegments.get(server);
            if (descriptors == null) {
                descriptors = Lists.newArrayList();
                serverSegments.put(server, descriptors);
            }
            descriptors.add(segment.rhs);
        }
    }
    return new LazySequence<>(new Supplier<Sequence<T>>() {

        @Override
        public Sequence<T> get() {
            ArrayList<Sequence<T>> sequencesByInterval = Lists.newArrayList();
            addSequencesFromCache(sequencesByInterval);
            addSequencesFromServer(sequencesByInterval);
            return mergeCachedAndUncachedSequences(query, sequencesByInterval);
        }

        private void addSequencesFromCache(ArrayList<Sequence<T>> listOfSequences) {
            if (strategy == null) {
                return;
            }
            final Function<Object, T> pullFromCacheFunction = strategy.pullFromCache();
            final TypeReference<Object> cacheObjectClazz = strategy.getCacheObjectClazz();
            for (Pair<Interval, byte[]> cachedResultPair : cachedResults) {
                final byte[] cachedResult = cachedResultPair.rhs;
                Sequence<Object> cachedSequence = new BaseSequence<>(new BaseSequence.IteratorMaker<Object, Iterator<Object>>() {

                    @Override
                    public Iterator<Object> make() {
                        try {
                            if (cachedResult.length == 0) {
                                return Iterators.emptyIterator();
                            }
                            return objectMapper.readValues(objectMapper.getFactory().createParser(cachedResult), cacheObjectClazz);
                        } catch (IOException e) {
                            throw Throwables.propagate(e);
                        }
                    }

                    @Override
                    public void cleanup(Iterator<Object> iterFromMake) {
                    }
                });
                listOfSequences.add(Sequences.map(cachedSequence, pullFromCacheFunction));
            }
        }

        private void addSequencesFromServer(ArrayList<Sequence<T>> listOfSequences) {
            listOfSequences.ensureCapacity(listOfSequences.size() + serverSegments.size());
            final Query<T> rewrittenQuery = query.withOverriddenContext(contextBuilder.build());
            // The data gets handled as a Future and parsed in the long Sequence chain in the resultSeqToAdd setter.
            for (Map.Entry<DruidServer, List<SegmentDescriptor>> entry : serverSegments.entrySet()) {
                final DruidServer server = entry.getKey();
                final List<SegmentDescriptor> descriptors = entry.getValue();
                final QueryRunner clientQueryable = serverView.getQueryRunner(server);
                if (clientQueryable == null) {
                    log.error("WTF!? server[%s] doesn't have a client Queryable?", server);
                    continue;
                }
                final MultipleSpecificSegmentSpec segmentSpec = new MultipleSpecificSegmentSpec(descriptors);
                final Sequence<T> resultSeqToAdd;
                if (!server.isAssignable() || !populateCache || isBySegment) {
                    // Direct server queryable
                    if (!isBySegment) {
                        resultSeqToAdd = clientQueryable.run(query.withQuerySegmentSpec(segmentSpec), responseContext);
                    } else {
                        // bySegment queries need to be de-serialized, see DirectDruidClient.run()
                        @SuppressWarnings("unchecked") final Query<Result<BySegmentResultValueClass<T>>> bySegmentQuery = (Query<Result<BySegmentResultValueClass<T>>>) ((Query) query);
                        @SuppressWarnings("unchecked") final Sequence<Result<BySegmentResultValueClass<T>>> resultSequence = clientQueryable.run(bySegmentQuery.withQuerySegmentSpec(segmentSpec), responseContext);
                        resultSeqToAdd = (Sequence) Sequences.map(resultSequence, new Function<Result<BySegmentResultValueClass<T>>, Result<BySegmentResultValueClass<T>>>() {

                            @Override
                            public Result<BySegmentResultValueClass<T>> apply(Result<BySegmentResultValueClass<T>> input) {
                                final BySegmentResultValueClass<T> bySegmentValue = input.getValue();
                                return new Result<>(input.getTimestamp(), new BySegmentResultValueClass<T>(Lists.transform(bySegmentValue.getResults(), toolChest.makePreComputeManipulatorFn(query, MetricManipulatorFns.deserializing())), bySegmentValue.getSegmentId(), bySegmentValue.getInterval()));
                            }
                        });
                    }
                } else {
                    // Requires some manipulation on broker side
                    @SuppressWarnings("unchecked") final Sequence<Result<BySegmentResultValueClass<T>>> runningSequence = clientQueryable.run(rewrittenQuery.withQuerySegmentSpec(segmentSpec), responseContext);
                    resultSeqToAdd = new MergeSequence(query.getResultOrdering(), Sequences.<Result<BySegmentResultValueClass<T>>, Sequence<T>>map(runningSequence, new Function<Result<BySegmentResultValueClass<T>>, Sequence<T>>() {

                        private final Function<T, Object> cacheFn = strategy.prepareForCache();

                        // Acctually do something with the results
                        @Override
                        public Sequence<T> apply(Result<BySegmentResultValueClass<T>> input) {
                            final BySegmentResultValueClass<T> value = input.getValue();
                            final CachePopulator cachePopulator = cachePopulatorMap.get(String.format("%s_%s", value.getSegmentId(), value.getInterval()));
                            final Queue<ListenableFuture<Object>> cacheFutures = new ConcurrentLinkedQueue<>();
                            return Sequences.<T>withEffect(Sequences.<T, T>map(Sequences.<T, T>map(Sequences.<T>simple(value.getResults()), new Function<T, T>() {

                                @Override
                                public T apply(final T input) {
                                    if (cachePopulator != null) {
                                        // only compute cache data if populating cache
                                        cacheFutures.add(backgroundExecutorService.submit(new Callable<Object>() {

                                            @Override
                                            public Object call() {
                                                return cacheFn.apply(input);
                                            }
                                        }));
                                    }
                                    return input;
                                }
                            }), toolChest.makePreComputeManipulatorFn(// This casting is sub-optimal, but hasn't caused any major problems yet...
                            (Query) rewrittenQuery, MetricManipulatorFns.deserializing())), new Runnable() {

                                @Override
                                public void run() {
                                    if (cachePopulator != null) {
                                        Futures.addCallback(Futures.allAsList(cacheFutures), new FutureCallback<List<Object>>() {

                                            @Override
                                            public void onSuccess(List<Object> cacheData) {
                                                cachePopulator.populate(cacheData);
                                                // Help out GC by making sure all references are gone
                                                cacheFutures.clear();
                                            }

                                            @Override
                                            public void onFailure(Throwable throwable) {
                                                log.error(throwable, "Background caching failed");
                                            }
                                        }, backgroundExecutorService);
                                    }
                                }
                            }, MoreExecutors.sameThreadExecutor());
                        // End withEffect
                        }
                    }));
                }
                listOfSequences.add(resultSeqToAdd);
            }
        }
    });
}
Also used : BaseQuery(io.druid.query.BaseQuery) Query(io.druid.query.Query) ArrayList(java.util.ArrayList) ShardSpec(io.druid.timeline.partition.ShardSpec) QueryableDruidServer(io.druid.client.selector.QueryableDruidServer) Result(io.druid.query.Result) ServerSelector(io.druid.client.selector.ServerSelector) List(java.util.List) ArrayList(java.util.ArrayList) FutureCallback(com.google.common.util.concurrent.FutureCallback) Optional(com.google.common.base.Optional) QueryableDruidServer(io.druid.client.selector.QueryableDruidServer) BySegmentResultValueClass(io.druid.query.BySegmentResultValueClass) LazySequence(io.druid.java.util.common.guava.LazySequence) BaseSequence(io.druid.java.util.common.guava.BaseSequence) Sequence(io.druid.java.util.common.guava.Sequence) MergeSequence(io.druid.java.util.common.guava.MergeSequence) ImmutableMap(com.google.common.collect.ImmutableMap) TimelineObjectHolder(io.druid.timeline.TimelineObjectHolder) Hasher(com.google.common.hash.Hasher) ConcurrentLinkedQueue(java.util.concurrent.ConcurrentLinkedQueue) Map(java.util.Map) ImmutableMap(com.google.common.collect.ImmutableMap) Interval(org.joda.time.Interval) Cache(io.druid.client.cache.Cache) MultipleSpecificSegmentSpec(io.druid.query.spec.MultipleSpecificSegmentSpec) Function(com.google.common.base.Function) MergeSequence(io.druid.java.util.common.guava.MergeSequence) SegmentDescriptor(io.druid.query.SegmentDescriptor) Iterator(java.util.Iterator) PartitionChunk(io.druid.timeline.partition.PartitionChunk) TypeReference(com.fasterxml.jackson.core.type.TypeReference) Pair(io.druid.java.util.common.Pair) IOException(java.io.IOException) QueryRunner(io.druid.query.QueryRunner) ListenableFuture(com.google.common.util.concurrent.ListenableFuture) LazySequence(io.druid.java.util.common.guava.LazySequence)

Aggregations

ConcurrentLinkedQueue (java.util.concurrent.ConcurrentLinkedQueue)236 Test (org.junit.Test)102 AtomicInteger (java.util.concurrent.atomic.AtomicInteger)56 Watermark (org.apache.flink.streaming.api.watermark.Watermark)52 KeyedOneInputStreamOperatorTestHarness (org.apache.flink.streaming.util.KeyedOneInputStreamOperatorTestHarness)43 ExecutionConfig (org.apache.flink.api.common.ExecutionConfig)40 Tuple2 (org.apache.flink.api.java.tuple.Tuple2)40 CountDownLatch (java.util.concurrent.CountDownLatch)37 ArrayList (java.util.ArrayList)31 TimeWindow (org.apache.flink.streaming.api.windowing.windows.TimeWindow)28 ListStateDescriptor (org.apache.flink.api.common.state.ListStateDescriptor)18 ReducingStateDescriptor (org.apache.flink.api.common.state.ReducingStateDescriptor)17 IOException (java.io.IOException)15 Tuple3 (org.apache.flink.api.java.tuple.Tuple3)15 StreamRecord (org.apache.flink.streaming.runtime.streamrecord.StreamRecord)14 ExecutionException (java.util.concurrent.ExecutionException)13 ExecutorService (java.util.concurrent.ExecutorService)13 Map (java.util.Map)12 OperatorStateHandles (org.apache.flink.streaming.runtime.tasks.OperatorStateHandles)12 Iterator (java.util.Iterator)11