I`m producing data like:
Key: "Mike", value: {"amount":46,"time":"2021-11-05T07:53:32.005751Z"}
Key: "John", value: {"amount":46,"time":"2021-11-05T07:53:32.005751Z"}
Key: "Mike", value: {"amount":50,"time":"2021-11-05T07:53:32.005751Z"}
Key is String (Names like Alice, John...). For example i need in result:
{"Mike": 2}
{"John": 1}
or
{"key":"Mike", "count": 2}
{"key":"John", "count": 1}
I tried next:
public Topology createTopology(){
StreamsBuilder builder = new StreamsBuilder();
// json Serde
final Serializer<JsonNode> jsonSerializer = new JsonSerializer();
final Deserializer<JsonNode> jsonDeserializer = new JsonDeserializer();
final Serde<JsonNode> jsonSerde = Serdes.serdeFrom(jsonSerializer, jsonDeserializer);
KStream<String, JsonNode> textLines = builder.stream("bank-transactions", Consumed.with(Serdes.String(), jsonSerde));
KTable<String, Long> wordCounts = textLines
.map((k, v) -> new KeyValue<>(k, v.get("amount").asInt()))
.groupByKey(Serialized.with(Serdes.String(), Serdes.Integer()))
.count();
wordCounts.toStream().to("person-transaction-frequency", Produced.with(Serdes.String(), Serdes.Long()));
return builder.build();
}
public static void main(String[] args) {
Properties config = new Properties();
config.put(StreamsConfig.APPLICATION_ID_CONFIG, "bank-favorite-amount-application");
config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "127.0.0.1:29092");
config.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
config.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
config.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
Mc4CalculateFavoriteAmount wordCountApp = new Mc4CalculateFavoriteAmount();
KafkaStreams streams = new KafkaStreams(wordCountApp.createTopology(), config);
streams.start();
// shutdown hook to correctly close the streams application
Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
}
I`m trying to count messages with by names. But i got artifacts in topic:
If you simply want to count the keys, then you can discard the whole value and replace it with a 1
for every key that is seen.
KStream<String, Bytes> textLines = builder.stream("bank-transactions", Consumed.with(Serdes.String(), Serdes.Bytes()));
KTable<String, Long> wordCounts = textLines
.mapValues(v -> 1L)
.groupByKey(Serialized.with(Serdes.String(), Serdes.Long()))
.count();
wordCounts.toStream().to("person-transaction-frequency", Produced.with(Serdes.String(), Serdes.Long()));