Java Code Examples for org.apache.kafka.streams.TopologyTestDriver#readOutput()
The following examples show how to use
org.apache.kafka.streams.TopologyTestDriver#readOutput() .
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Example 1
Source File: SplitStreamTest.java From kafka-tutorials with Apache License 2.0 | 6 votes |
private List<ActingEvent> readOutputTopic(TopologyTestDriver testDriver, String topic, Deserializer<String> keyDeserializer, SpecificAvroDeserializer<ActingEvent> valueDeserializer) { List<ActingEvent> results = new ArrayList<>(); while (true) { ProducerRecord<String, ActingEvent> record = testDriver.readOutput(topic, keyDeserializer, valueDeserializer); if (record != null) { results.add(record.value()); } else { break; } } return results; }
Example 2
Source File: JoinStreamToTableTest.java From kafka-tutorials with Apache License 2.0 | 6 votes |
private List<RatedMovie> readOutputTopic(TopologyTestDriver testDriver, String topic, Deserializer<String> keyDeserializer, SpecificAvroDeserializer<RatedMovie> makeRatedMovieDeserializer) { List<RatedMovie> results = new ArrayList<>(); while (true) { ProducerRecord<String, RatedMovie> record = testDriver.readOutput(topic, keyDeserializer, makeRatedMovieDeserializer); if (record != null) { results.add(record.value()); } else { break; } } return results; }
Example 3
Source File: TumblingWindowTest.java From kafka-tutorials with Apache License 2.0 | 6 votes |
private List<RatingCount> readOutputTopic(TopologyTestDriver testDriver, String outputTopic, Deserializer<String> keyDeserializer, Deserializer<String> valueDeserializer) { List<RatingCount> results = new ArrayList<>(); while(true) { ProducerRecord<String, String> record = testDriver.readOutput(outputTopic, keyDeserializer, valueDeserializer); if (record != null) { results.add(new RatingCount(record.key().toString(), record.value())); } else { break; } } return results; }
Example 4
Source File: TransformStreamTest.java From kafka-tutorials with Apache License 2.0 | 6 votes |
private List<Movie> readOutputTopic(TopologyTestDriver testDriver, String topic, Deserializer<String> keyDeserializer, SpecificAvroDeserializer<Movie> valueDeserializer) { List<Movie> results = new ArrayList<>(); while (true) { ProducerRecord<String, Movie> record = testDriver.readOutput(topic, keyDeserializer, valueDeserializer); if (record != null) { results.add(record.value()); } else { break; } } return results; }
Example 5
Source File: TestTopologyReceiver.java From simplesource with Apache License 2.0 | 6 votes |
TestTopologyReceiver(BiConsumer<K, V> updateTarget, TopologyTestDriver driver, ReceiverSpec<K, V> spec) { getDriverOutput = () -> { int count = 0; while (true) { ProducerRecord<String, V> record = driver.readOutput(spec.topicName, Serdes.String().deserializer(), spec.valueSerde.deserializer()); if (record == null) break; count++; K key = spec.keyConverter.apply(record.key()); updateTarget.accept(key, record.value()); } return count; }; }
Example 6
Source File: SpanAggregationTopologyTest.java From zipkin-storage-kafka with Apache License 2.0 | 4 votes |
@Test void should_aggregateSpans_and_mapDependencies() { // Given: configuration Duration traceTimeout = Duration.ofSeconds(1); SpansSerde spansSerde = new SpansSerde(); DependencyLinkSerde dependencyLinkSerde = new DependencyLinkSerde(); // When: topology built Topology topology = new SpanAggregationTopology( spansTopic, traceTopic, dependencyTopic, traceTimeout, true).get(); TopologyDescription description = topology.describe(); // Then: single threaded topology assertThat(description.subtopologies()).hasSize(1); // Given: test driver TopologyTestDriver testDriver = new TopologyTestDriver(topology, props); // When: two related spans coming on the same Session window ConsumerRecordFactory<String, List<Span>> factory = new ConsumerRecordFactory<>(spansTopic, new StringSerializer(), spansSerde.serializer()); Span a = Span.newBuilder().traceId("a").id("a").name("op_a").kind(Span.Kind.CLIENT) .localEndpoint(Endpoint.newBuilder().serviceName("svc_a").build()) .build(); Span b = Span.newBuilder().traceId("a").id("b").name("op_b").kind(Span.Kind.SERVER) .localEndpoint(Endpoint.newBuilder().serviceName("svc_b").build()) .build(); testDriver.pipeInput( factory.create(spansTopic, a.traceId(), Collections.singletonList(a), 0L)); testDriver.pipeInput( factory.create(spansTopic, b.traceId(), Collections.singletonList(b), 0L)); // When: and new record arrive, moving the event clock further than inactivity gap Span c = Span.newBuilder().traceId("c").id("c").build(); testDriver.pipeInput(factory.create(spansTopic, c.traceId(), Collections.singletonList(c), traceTimeout.toMillis() + 1)); // Then: a trace is aggregated.1 ProducerRecord<String, List<Span>> trace = testDriver.readOutput(traceTopic, new StringDeserializer(), spansSerde.deserializer()); assertThat(trace).isNotNull(); OutputVerifier.compareKeyValue(trace, a.traceId(), Arrays.asList(a, b)); // Then: a dependency link is created ProducerRecord<String, DependencyLink> linkRecord = testDriver.readOutput(dependencyTopic, new StringDeserializer(), dependencyLinkSerde.deserializer()); assertThat(linkRecord).isNotNull(); DependencyLink link = DependencyLink.newBuilder() .parent("svc_a").child("svc_b").callCount(1).errorCount(0) .build(); OutputVerifier.compareKeyValue(linkRecord, "svc_a:svc_b", link); //Finally close resources testDriver.close(); spansSerde.close(); dependencyLinkSerde.close(); }
Example 7
Source File: FindDistinctEventsTest.java From kafka-tutorials with Apache License 2.0 | 4 votes |
@Test public void shouldFilterDistinctEvents() throws IOException, RestClientException { final FindDistinctEvents distinctifier = new FindDistinctEvents(); String inputTopic = envProps.getProperty("input.topic.name"); String outputTopic = envProps.getProperty("output.topic.name"); final SpecificAvroSerde<Click> clickSerde = makeSerializer(envProps); Topology topology = distinctifier.buildTopology(envProps, clickSerde); TopologyTestDriver testDriver = new TopologyTestDriver(topology, streamProps); Serializer<String> keySerializer = Serdes.String().serializer(); ConsumerRecordFactory<String, Click> inputFactory = new ConsumerRecordFactory<>( keySerializer, clickSerde.serializer()); final List<Click> clicks = asList( new Click("10.0.0.1", "https://docs.confluent.io/current/tutorials/examples/kubernetes/gke-base/docs/index.html", "2019-09-16T14:53:43+00:00"), new Click("10.0.0.2", "https://www.confluent.io/hub/confluentinc/kafka-connect-datagen", "2019-09-16T14:53:43+00:01"), new Click("10.0.0.3", "https://www.confluent.io/hub/confluentinc/kafka-connect-datagen", "2019-09-16T14:53:43+00:03"), new Click("10.0.0.1", "https://docs.confluent.io/current/tutorials/examples/kubernetes/gke-base/docs/index.html", "2019-09-16T14:53:43+00:00"), new Click("10.0.0.2", "https://www.confluent.io/hub/confluentinc/kafka-connect-datagen", "2019-09-16T14:53:43+00:01"), new Click("10.0.0.3", "https://www.confluent.io/hub/confluentinc/kafka-connect-datagen", "2019-09-16T14:53:43+00:03")); final List<Click> expectedOutput = asList(clicks.get(0),clicks.get(1),clicks.get(2)); for (Click clk : clicks) { testDriver.pipeInput(inputFactory.create(inputTopic, clk.getIp(), clk)); } Deserializer<String> keyDeserializer = Serdes.String().deserializer(); List<Click> actualOutput = new ArrayList<>(); while (true) { ProducerRecord<String, Click> record = testDriver.readOutput(outputTopic, keyDeserializer, clickSerde.deserializer()); if (record != null) { actualOutput.add(record.value()); } else { break; } } Assert.assertEquals(expectedOutput, actualOutput); }
Example 8
Source File: AggregatingSumTest.java From kafka-tutorials with Apache License 2.0 | 4 votes |
@Test public void shouldSumTicketSales() throws IOException, RestClientException { AggregatingSum aggSum = new AggregatingSum(); Properties envProps = aggSum.loadEnvProperties(TEST_CONFIG_FILE); Properties streamProps = aggSum.buildStreamsProperties(envProps); String inputTopic = envProps.getProperty("input.topic.name"); String outputTopic = envProps.getProperty("output.topic.name"); final SpecificAvroSerde<TicketSale> ticketSaleSpecificAvroSerde = makeSerializer(envProps); Topology topology = aggSum.buildTopology(envProps, ticketSaleSpecificAvroSerde); TopologyTestDriver testDriver = new TopologyTestDriver(topology, streamProps); Serializer<String> keySerializer = Serdes.String().serializer(); Deserializer<String> keyDeserializer = Serdes.String().deserializer(); ConsumerRecordFactory<String, TicketSale> inputFactory = new ConsumerRecordFactory<>(keySerializer, ticketSaleSpecificAvroSerde.serializer()); final List<TicketSale> input = asList( new TicketSale("Die Hard", "2019-07-18T10:00:00Z", 12), new TicketSale("Die Hard", "2019-07-18T10:01:00Z", 12), new TicketSale("The Godfather", "2019-07-18T10:01:31Z", 12), new TicketSale("Die Hard", "2019-07-18T10:01:36Z", 24), new TicketSale("The Godfather", "2019-07-18T10:02:00Z", 18), new TicketSale("The Big Lebowski", "2019-07-18T11:03:21Z", 12), new TicketSale("The Big Lebowski", "2019-07-18T11:03:50Z", 12), new TicketSale("The Godfather", "2019-07-18T11:40:00Z", 36), new TicketSale("The Godfather", "2019-07-18T11:40:09Z", 18) ); List<Integer> expectedOutput = new ArrayList<Integer>(Arrays.asList(12, 24, 12, 48, 30, 12, 24, 66, 84)); for (TicketSale ticketSale : input) { testDriver.pipeInput(inputFactory.create(inputTopic, "", ticketSale)); } List<Integer> actualOutput = new ArrayList<>(); while (true) { ProducerRecord<String, Integer> record = testDriver.readOutput(outputTopic, keyDeserializer, Serdes.Integer().deserializer()); if (record != null) { actualOutput.add(record.value()); } else { break; } } System.out.println(actualOutput); Assert.assertEquals(expectedOutput, actualOutput); }
Example 9
Source File: AggregatingCountTest.java From kafka-tutorials with Apache License 2.0 | 4 votes |
@Test public void shouldCountTicketSales() throws IOException, RestClientException { AggregatingCount aggCount = new AggregatingCount(); Properties envProps = aggCount.loadEnvProperties(TEST_CONFIG_FILE); Properties streamProps = aggCount.buildStreamsProperties(envProps); String inputTopic = envProps.getProperty("input.topic.name"); String outputTopic = envProps.getProperty("output.topic.name"); final SpecificAvroSerde<TicketSale> ticketSaleSpecificAvroSerde = makeSerializer(envProps); Topology topology = aggCount.buildTopology(envProps, ticketSaleSpecificAvroSerde); TopologyTestDriver testDriver = new TopologyTestDriver(topology, streamProps); Serializer<String> keySerializer = Serdes.String().serializer(); Deserializer<String> keyDeserializer = Serdes.String().deserializer(); ConsumerRecordFactory<String, TicketSale> inputFactory = new ConsumerRecordFactory<>(keySerializer, ticketSaleSpecificAvroSerde.serializer()); final List<TicketSale> input = asList( new TicketSale("Die Hard", "2019-07-18T10:00:00Z", 12), new TicketSale("Die Hard", "2019-07-18T10:01:00Z", 12), new TicketSale("The Godfather", "2019-07-18T10:01:31Z", 12), new TicketSale("Die Hard", "2019-07-18T10:01:36Z", 24), new TicketSale("The Godfather", "2019-07-18T10:02:00Z", 18), new TicketSale("The Big Lebowski", "2019-07-18T11:03:21Z", 12), new TicketSale("The Big Lebowski", "2019-07-18T11:03:50Z", 12), new TicketSale("The Godfather", "2019-07-18T11:40:00Z", 36), new TicketSale("The Godfather", "2019-07-18T11:40:09Z", 18) ); List<Long> expectedOutput = new ArrayList<Long>(Arrays.asList(1L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 4L)); for (TicketSale ticketSale : input) { testDriver.pipeInput(inputFactory.create(inputTopic, "", ticketSale)); } List<Long> actualOutput = new ArrayList<>(); while (true) { ProducerRecord<String, Long> record = testDriver.readOutput(outputTopic, keyDeserializer, Serdes.Long().deserializer()); if (record != null) { actualOutput.add(record.value()); } else { break; } } System.out.println(actualOutput); Assert.assertEquals(expectedOutput, actualOutput); }
Example 10
Source File: StreamsIngestTest.java From kafka-tutorials with Apache License 2.0 | 4 votes |
@Test public void shouldCreateKeyedStream() throws IOException, RestClientException { StreamsIngest si = new StreamsIngest(); Properties envProps = si.loadEnvProperties(TEST_CONFIG_FILE); Properties streamProps = si.buildStreamsProperties(envProps); String inputTopic = envProps.getProperty("input.topic.name"); String outputTopic = envProps.getProperty("output.topic.name"); final SpecificAvroSerde<City> citySpecificAvroSerde = makeSerializer(envProps); Topology topology = si.buildTopology(envProps, citySpecificAvroSerde); TopologyTestDriver testDriver = new TopologyTestDriver(topology, streamProps); Serializer<String> keySerializer = Serdes.String().serializer(); Deserializer<Long> keyDeserializer = Serdes.Long().deserializer(); ConsumerRecordFactory<String, City> inputFactory = new ConsumerRecordFactory<>(keySerializer, citySpecificAvroSerde.serializer()); // Fixture City c1 = new City(1L, "Raleigh", "NC"); City c2 = new City(2L, "Mountain View", "CA"); City c3 = new City(3L, "Knoxville", "TN"); City c4 = new City(4L, "Houston", "TX"); City c5 = new City(5L, "Olympia", "WA"); City c6 = new City(6L, "Bismarck", "ND"); // end Fixture final List<City> input = asList(c1, c2, c3, c4, c5, c6); final List<Long> expectedOutput = asList(1L, 2L, 3L, 4L, 5L, 6L); for (City city : input) { testDriver.pipeInput(inputFactory.create(inputTopic, null, city)); } List<Long> actualOutput = new ArrayList<>(); while (true) { ProducerRecord<Long, City> record = testDriver.readOutput(outputTopic, keyDeserializer, citySpecificAvroSerde.deserializer()); if (record != null) { actualOutput.add(record.key()); } else { break; } } Assert.assertEquals(expectedOutput, actualOutput); }
Example 11
Source File: FilterEventsTest.java From kafka-tutorials with Apache License 2.0 | 4 votes |
@Test public void shouldFilterGRRMartinsBooks() throws IOException, RestClientException { FilterEvents fe = new FilterEvents(); Properties envProps = fe.loadEnvProperties(TEST_CONFIG_FILE); Properties streamProps = fe.buildStreamsProperties(envProps); String inputTopic = envProps.getProperty("input.topic.name"); String outputTopic = envProps.getProperty("output.topic.name"); final SpecificAvroSerde<Publication> publicationSpecificAvroSerde = makeSerializer(envProps); Topology topology = fe.buildTopology(envProps, publicationSpecificAvroSerde); TopologyTestDriver testDriver = new TopologyTestDriver(topology, streamProps); Serializer<String> keySerializer = Serdes.String().serializer(); Deserializer<String> keyDeserializer = Serdes.String().deserializer(); ConsumerRecordFactory<String, Publication> inputFactory = new ConsumerRecordFactory<>(keySerializer, publicationSpecificAvroSerde.serializer()); // Fixture Publication iceAndFire = new Publication("George R. R. Martin", "A Song of Ice and Fire"); Publication silverChair = new Publication("C.S. Lewis", "The Silver Chair"); Publication perelandra = new Publication("C.S. Lewis", "Perelandra"); Publication fireAndBlood = new Publication("George R. R. Martin", "Fire & Blood"); Publication theHobbit = new Publication("J. R. R. Tolkien", "The Hobbit"); Publication lotr = new Publication("J. R. R. Tolkien", "The Lord of the Rings"); Publication dreamOfSpring = new Publication("George R. R. Martin", "A Dream of Spring"); Publication fellowship = new Publication("J. R. R. Tolkien", "The Fellowship of the Ring"); Publication iceDragon = new Publication("George R. R. Martin", "The Ice Dragon"); // end Fixture final List<Publication> input = asList(iceAndFire, silverChair, perelandra, fireAndBlood, theHobbit, lotr, dreamOfSpring, fellowship, iceDragon); final List<Publication> expectedOutput = asList(iceAndFire, fireAndBlood, dreamOfSpring, iceDragon); for (Publication publication : input) { testDriver.pipeInput(inputFactory.create(inputTopic, publication.getName(), publication)); } List<Publication> actualOutput = new ArrayList<>(); while (true) { ProducerRecord<String, Publication> record = testDriver.readOutput(outputTopic, keyDeserializer, publicationSpecificAvroSerde.deserializer()); if (record != null) { actualOutput.add(record.value()); } else { break; } } Assert.assertEquals(expectedOutput, actualOutput); }
Example 12
Source File: KafkaAnomalyDetectorMapperTest.java From adaptive-alerting with Apache License 2.0 | 4 votes |
private void nullOnDeserException(TopologyTestDriver driver) { driver.pipeInput(stringFactory.create(INPUT_TOPIC, KAFKA_KEY, INVALID_INPUT_VALUE)); val record = driver.readOutput(DEFAULT_OUTPUT_TOPIC, stringDeser, mmdDeser); Assert.assertNull(record); }