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StreamsIngest.java
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StreamsIngest.java
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/*
* Copyright 2017 Confluent Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.confluent.examples.connectandstreams.jdbcgenericavro;
import java.util.Properties;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.KeyValue;
import org.apache.kafka.streams.kstream.Printed;
import org.apache.kafka.streams.kstream.Serialized;
import org.apache.kafka.streams.kstream.Materialized;
import org.apache.kafka.common.utils.Bytes;
import org.apache.kafka.streams.state.KeyValueStore;
import org.apache.avro.generic.GenericRecord;
import io.confluent.kafka.serializers.AbstractKafkaAvroSerDeConfig;
import io.confluent.kafka.streams.serdes.avro.GenericAvroSerde;
import io.confluent.examples.connectandstreams.avro.Location;
public class StreamsIngest {
static final String INPUT_TOPIC = "jdbcgenericavro-locations";
static final String DEFAULT_BOOTSTRAP_SERVERS = "localhost:9092";
static final String DEFAULT_SCHEMA_REGISTRY_URL = "http://localhost:8081";
static final String KEYS_STORE = "jdbcgenericavro-count-keys";
static final String SALES_STORE = "jdbcgenericavro-aggregate-sales";
public static void main(String[] args) throws Exception {
if (args.length > 2) {
throw new IllegalArgumentException("usage: ... " +
"[<bootstrap.servers> (optional, default: " + DEFAULT_BOOTSTRAP_SERVERS + ")] " +
"[<schema.registry.url> (optional, default: " + DEFAULT_SCHEMA_REGISTRY_URL + ")] ");
}
final String bootstrapServers = args.length > 0 ? args[0] : DEFAULT_BOOTSTRAP_SERVERS;
final String SCHEMA_REGISTRY_URL = args.length > 1 ? args[1] : DEFAULT_SCHEMA_REGISTRY_URL;
System.out.println("Connecting to Kafka cluster via bootstrap servers " + bootstrapServers);
System.out.println("Connecting to Confluent schema registry at " + SCHEMA_REGISTRY_URL);
final StreamsBuilder builder = new StreamsBuilder();
Properties streamsConfiguration = new Properties();
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "jdbcgenericavro");
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 1000);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 0);
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, GenericAvroSerde.class);
streamsConfiguration.put(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, SCHEMA_REGISTRY_URL);
KStream<String, GenericRecord> locationsGeneric = builder.stream(INPUT_TOPIC);
locationsGeneric.print(Printed.toSysOut());
KStream<Long, Location> locations = locationsGeneric.map((k, v) -> new KeyValue<Long, Location>((Long) v.get("id"), new Location ((Long) v.get("id"), (String) v.get("name").toString(), Long.valueOf((Integer)v.get("sale")))));
locations.print(Printed.toSysOut());
KStream<Long,Long> sales = locations.map((k, v) -> new KeyValue<Long, Long>(k, v.getSale()));
// Count occurrences of each key
KStream<Long, Long> countKeys = sales.groupByKey(Serialized.with(Serdes.Long(), Serdes.Long()))
.count(Materialized.<Long, Long, KeyValueStore<Bytes, byte[]>>as(KEYS_STORE).withValueSerde(Serdes.Long()))
.toStream();
countKeys.print(Printed.toSysOut());
// Aggregate values by key
KStream<Long,Long> salesAgg = sales.groupByKey(Serialized.with(Serdes.Long(), Serdes.Long()))
.reduce(
(aggValue, newValue) -> aggValue + newValue)
.toStream();
salesAgg.print(Printed.toSysOut());
KafkaStreams streams = new KafkaStreams(builder.build(), streamsConfiguration);
streams.start();
// Add shutdown hook to respond to SIGTERM and gracefully close Kafka Streams
Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
}
}