org.apache.kafka.connect.json.JsonDeserializer Java Examples
The following examples show how to use
org.apache.kafka.connect.json.JsonDeserializer.
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Example #1
Source File: DebeziumCDCWithKafkaAndJet.java From hazelcast-jet-demos with Apache License 2.0 | 6 votes |
public static void main(String[] args) { JetInstance jet = JetBootstrap.getInstance(); Properties properties = new Properties(); properties.setProperty("group.id", "cdc-demo"); properties.setProperty("bootstrap.servers", "kafka:9092"); properties.setProperty("key.deserializer", JsonDeserializer.class.getCanonicalName()); properties.setProperty("value.deserializer", JsonDeserializer.class.getCanonicalName()); properties.setProperty("auto.offset.reset", "earliest"); Pipeline p = Pipeline.create(); p.readFrom(KafkaSources.kafka(properties, record -> { HazelcastJsonValue key = new HazelcastJsonValue(record.key().toString()); HazelcastJsonValue value = new HazelcastJsonValue(record.value().toString()); return Util.entry(key, value); }, "dbserver1.inventory.customers")) .withoutTimestamps() .peek() .writeTo(Sinks.map("customers")); jet.newJob(p).join(); }
Example #2
Source File: WikipediaStreamDemo.java From hello-kafka-streams with Apache License 2.0 | 5 votes |
private static KafkaStreams createWikipediaStreamsInstance(String bootstrapServers) { final Serializer<JsonNode> jsonSerializer = new JsonSerializer(); final Deserializer<JsonNode> jsonDeserializer = new JsonDeserializer(); final Serde<JsonNode> jsonSerde = Serdes.serdeFrom(jsonSerializer, jsonDeserializer); KStreamBuilder builder = new KStreamBuilder(); Properties props = new Properties(); props.put(StreamsConfig.APPLICATION_ID_CONFIG, "wikipedia-streams"); props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); KStream<JsonNode, JsonNode> wikipediaRaw = builder.stream(jsonSerde, jsonSerde, "wikipedia-raw"); KStream<String, WikipediaMessage> wikipediaParsed = wikipediaRaw.map(WikipediaMessage::parceIRC) .filter(WikipediaMessage::filterNonNull) .through(Serdes.String(), new JsonPOJOSerde<>(WikipediaMessage.class), "wikipedia-parsed"); KTable<String, Long> totalEditsByUser = wikipediaParsed .filter((key, value) -> value.type == WikipediaMessage.Type.EDIT) .countByKey(Serdes.String(), "wikipedia-edits-by-user"); //some print totalEditsByUser.toStream().process(() -> new AbstractProcessor<String, Long>() { @Override public void process(String user, Long numEdits) { System.out.println("USER: " + user + " num.edits: " + numEdits); } }); return new KafkaStreams(builder, props); }