Examples with Grouping org.apache.storm.generated.Grouping used on opensource projects

Example 6 with Grouping

use of org.apache.storm.generated.Grouping in project storm by apache.

the class GeneralTopologyContext method getTargets.

/**
     * Gets information about who is consuming the outputs of the specified component,
     * and how.
     *
     * @return Map from stream id to component id to the Grouping used.
     */
public Map<String, Map<String, Grouping>> getTargets(String componentId) {
    Map<String, Map<String, Grouping>> ret = new HashMap<>();
    for (String otherComponentId : getComponentIds()) {
        Map<GlobalStreamId, Grouping> inputs = getComponentCommon(otherComponentId).get_inputs();
        for (Map.Entry<GlobalStreamId, Grouping> entry : inputs.entrySet()) {
            GlobalStreamId id = entry.getKey();
            if (id.get_componentId().equals(componentId)) {
                Map<String, Grouping> curr = ret.get(id.get_streamId());
                if (curr == null)
                    curr = new HashMap<>();
                curr.put(otherComponentId, entry.getValue());
                ret.put(id.get_streamId(), curr);
            }
        }
    }
    return ret;
}

Example 7 with Grouping

use of org.apache.storm.generated.Grouping in project storm by apache.

the class StreamBuilderTest method testBranch.

@Test
public void testBranch() throws Exception {
    Stream<Tuple> stream = streamBuilder.newStream(newSpout(Utils.DEFAULT_STREAM_ID));
    Stream<Tuple>[] streams = stream.branch(x -> true);
    StormTopology topology = streamBuilder.build();
    assertEquals(1, topology.get_spouts_size());
    assertEquals(1, topology.get_bolts_size());
    Map<GlobalStreamId, Grouping> expected = new HashMap<>();
    String spoutId = topology.get_spouts().keySet().iterator().next();
    expected.put(new GlobalStreamId(spoutId, "default"), Grouping.shuffle(new NullStruct()));
    assertEquals(expected, topology.get_bolts().values().iterator().next().get_common().get_inputs());
    assertEquals(1, streams.length);
    assertEquals(1, streams[0].node.getOutputStreams().size());
    String parentStream = streams[0].node.getOutputStreams().iterator().next() + "-branch";
    assertEquals(1, streams[0].node.getParents(parentStream).size());
    Node processorNdoe = streams[0].node.getParents(parentStream).iterator().next();
    assertTrue(processorNdoe instanceof ProcessorNode);
    assertTrue(((ProcessorNode) processorNdoe).getProcessor() instanceof BranchProcessor);
    assertTrue(processorNdoe.getParents("default").iterator().next() instanceof SpoutNode);
}

Example 8 with Grouping

use of org.apache.storm.generated.Grouping in project storm by apache.

the class StreamBuilderTest method testMultiPartitionByKeyWithRepartition.

@Test
public void testMultiPartitionByKeyWithRepartition() {
    TopologyContext mockContext = Mockito.mock(TopologyContext.class);
    OutputCollector mockCollector = Mockito.mock(OutputCollector.class);
    Map<GlobalStreamId, Grouping> expected = new HashMap<>();
    expected.put(new GlobalStreamId("bolt2", "s3"), Grouping.fields(Collections.singletonList("key")));
    expected.put(new GlobalStreamId("bolt2", "s3__punctuation"), Grouping.all(new NullStruct()));
    Stream<Integer> stream = streamBuilder.newStream(newSpout(Utils.DEFAULT_STREAM_ID), new ValueMapper<>(0));
    stream.mapToPair(x -> Pair.of(x, x)).window(TumblingWindows.of(BaseWindowedBolt.Count.of(10))).reduceByKey((x, y) -> x + y).repartition(10).reduceByKey((x, y) -> 0).print();
    StormTopology topology = streamBuilder.build();
    assertEquals(3, topology.get_bolts_size());
    assertEquals(expected, topology.get_bolts().get("bolt3").get_common().get_inputs());
}

Example 9 with Grouping

use of org.apache.storm.generated.Grouping in project storm by apache.

the class WindowedBoltExecutorTest method getTopologyContext.

private TopologyContext getTopologyContext() {
    TopologyContext context = Mockito.mock(TopologyContext.class);
    Map<GlobalStreamId, Grouping> sources = Collections.singletonMap(new GlobalStreamId("s1", "default"), null);
    Mockito.when(context.getThisSources()).thenReturn(sources);
    return context;
}

Example 10 with Grouping

use of org.apache.storm.generated.Grouping in project flink by apache.

the class FlinkTopology method translateTopology.

/**
	 * Creates a Flink program that uses the specified spouts and bolts.
	 */
private void translateTopology() {
    unprocessdInputsPerBolt.clear();
    outputStreams.clear();
    declarers.clear();
    availableInputs.clear();
    // Storm defaults to parallelism 1
    env.setParallelism(1);
    for (final Entry<String, IRichSpout> spout : spouts.entrySet()) {
        final String spoutId = spout.getKey();
        final IRichSpout userSpout = spout.getValue();
        final FlinkOutputFieldsDeclarer declarer = new FlinkOutputFieldsDeclarer();
        userSpout.declareOutputFields(declarer);
        final HashMap<String, Fields> sourceStreams = declarer.outputStreams;
        this.outputStreams.put(spoutId, sourceStreams);
        declarers.put(spoutId, declarer);
        final HashMap<String, DataStream<Tuple>> outputStreams = new HashMap<String, DataStream<Tuple>>();
        final DataStreamSource<?> source;
        if (sourceStreams.size() == 1) {
            final SpoutWrapper<Tuple> spoutWrapperSingleOutput = new SpoutWrapper<Tuple>(userSpout, spoutId, null, null);
            spoutWrapperSingleOutput.setStormTopology(stormTopology);
            final String outputStreamId = (String) sourceStreams.keySet().toArray()[0];
            DataStreamSource<Tuple> src = env.addSource(spoutWrapperSingleOutput, spoutId, declarer.getOutputType(outputStreamId));
            outputStreams.put(outputStreamId, src);
            source = src;
        } else {
            final SpoutWrapper<SplitStreamType<Tuple>> spoutWrapperMultipleOutputs = new SpoutWrapper<SplitStreamType<Tuple>>(userSpout, spoutId, null, null);
            spoutWrapperMultipleOutputs.setStormTopology(stormTopology);
            @SuppressWarnings({ "unchecked", "rawtypes" }) DataStreamSource<SplitStreamType<Tuple>> multiSource = env.addSource(spoutWrapperMultipleOutputs, spoutId, (TypeInformation) TypeExtractor.getForClass(SplitStreamType.class));
            SplitStream<SplitStreamType<Tuple>> splitSource = multiSource.split(new StormStreamSelector<Tuple>());
            for (String streamId : sourceStreams.keySet()) {
                SingleOutputStreamOperator<Tuple> outStream = splitSource.select(streamId).map(new SplitStreamMapper<Tuple>());
                outStream.getTransformation().setOutputType(declarer.getOutputType(streamId));
                outputStreams.put(streamId, outStream);
            }
            source = multiSource;
        }
        availableInputs.put(spoutId, outputStreams);
        final ComponentCommon common = stormTopology.get_spouts().get(spoutId).get_common();
        if (common.is_set_parallelism_hint()) {
            int dop = common.get_parallelism_hint();
            source.setParallelism(dop);
        } else {
            common.set_parallelism_hint(1);
        }
    }
    /**
		 * 1. Connect all spout streams with bolts streams
		 * 2. Then proceed with the bolts stream already connected
		 *
		 *  Because we do not know the order in which an iterator steps over a set, we might process a consumer before
		 * its producer
		 * ->thus, we might need to repeat multiple times
		 */
    boolean makeProgress = true;
    while (bolts.size() > 0) {
        if (!makeProgress) {
            StringBuilder strBld = new StringBuilder();
            strBld.append("Unable to build Topology. Could not connect the following bolts:");
            for (String boltId : bolts.keySet()) {
                strBld.append("\n  ");
                strBld.append(boltId);
                strBld.append(": missing input streams [");
                for (Entry<GlobalStreamId, Grouping> streams : unprocessdInputsPerBolt.get(boltId)) {
                    strBld.append("'");
                    strBld.append(streams.getKey().get_streamId());
                    strBld.append("' from '");
                    strBld.append(streams.getKey().get_componentId());
                    strBld.append("'; ");
                }
                strBld.append("]");
            }
            throw new RuntimeException(strBld.toString());
        }
        makeProgress = false;
        final Iterator<Entry<String, IRichBolt>> boltsIterator = bolts.entrySet().iterator();
        while (boltsIterator.hasNext()) {
            final Entry<String, IRichBolt> bolt = boltsIterator.next();
            final String boltId = bolt.getKey();
            final IRichBolt userBolt = copyObject(bolt.getValue());
            final ComponentCommon common = stormTopology.get_bolts().get(boltId).get_common();
            Set<Entry<GlobalStreamId, Grouping>> unprocessedBoltInputs = unprocessdInputsPerBolt.get(boltId);
            if (unprocessedBoltInputs == null) {
                unprocessedBoltInputs = new HashSet<>();
                unprocessedBoltInputs.addAll(common.get_inputs().entrySet());
                unprocessdInputsPerBolt.put(boltId, unprocessedBoltInputs);
            }
            // check if all inputs are available
            final int numberOfInputs = unprocessedBoltInputs.size();
            int inputsAvailable = 0;
            for (Entry<GlobalStreamId, Grouping> entry : unprocessedBoltInputs) {
                final String producerId = entry.getKey().get_componentId();
                final String streamId = entry.getKey().get_streamId();
                final HashMap<String, DataStream<Tuple>> streams = availableInputs.get(producerId);
                if (streams != null && streams.get(streamId) != null) {
                    inputsAvailable++;
                }
            }
            if (inputsAvailable != numberOfInputs) {
                // traverse other bolts first until inputs are available
                continue;
            } else {
                makeProgress = true;
                boltsIterator.remove();
            }
            final Map<GlobalStreamId, DataStream<Tuple>> inputStreams = new HashMap<>(numberOfInputs);
            for (Entry<GlobalStreamId, Grouping> input : unprocessedBoltInputs) {
                final GlobalStreamId streamId = input.getKey();
                final Grouping grouping = input.getValue();
                final String producerId = streamId.get_componentId();
                final Map<String, DataStream<Tuple>> producer = availableInputs.get(producerId);
                inputStreams.put(streamId, processInput(boltId, userBolt, streamId, grouping, producer));
            }
            final SingleOutputStreamOperator<?> outputStream = createOutput(boltId, userBolt, inputStreams);
            if (common.is_set_parallelism_hint()) {
                int dop = common.get_parallelism_hint();
                outputStream.setParallelism(dop);
            } else {
                common.set_parallelism_hint(1);
            }
        }
    }
}