@Override
public Data process(Data data) {
Data item = DataFactory.create();
item.put("time", LocalDateTime.now().toString());
String[] evKeys = {"@stream"};
for (String key : evKeys) {
if (data.containsKey(key)) {
item.put(key, data.get(key));
}
}
// add objects by specified keys to data item
for (String key : keys) {
item.put(key, data.get(key));
}
try {
if (writeBlock && !firstLine) {
bw.write(",");
}
bw.write(gson.toJson(item));
bw.newLine();
bw.flush();
firstLine = false;
} catch (IOException ioex) {
ioex.printStackTrace();
}
return data;
}
/**
* This class implements a single-threaded consumer for a Kafka topic. It will subscribe to a given
* topic and consume messages from all partitions.
*
* @author Christian Bockermann
*/
public class SingleTopicStream extends AbstractStream {
static Logger log = LoggerFactory.getLogger(SingleTopicStream.class);
final Data endOfStream = DataFactory.create();
@Parameter(required = true, description = "Zookeeper servers to connect to.")
String zookeeper;
@Parameter(required = true, description = "Brokers to connect to.")
String broker;
@Parameter(required = true, description = "The topic to which this stream subscribes.")
String topic;
@Parameter(
required = false,
description =
"The group id of the consumer - if not provided, a random identified will be generated.")
String group;
KafkaConsumer<byte[], byte[]> consumer;
StringObjectDecoder keyCodec = new StringObjectDecoder();
Codec<Data> valueCodec;
final LinkedBlockingQueue<Data> queue = new LinkedBlockingQueue<Data>();
Thread pollThread = null;
final AtomicBoolean running = new AtomicBoolean(true);
boolean closed = false;
/** @see stream.io.AbstractStream#init() */
@Override
public void init() throws Exception {
super.init();
if (group == null) {
group = UUID.randomUUID().toString();
}
Properties props = new Properties();
props.put("zookeeper.connect", zookeeper);
props.put("metadata.broker.list", broker);
props.put("bootstrap.servers", broker);
props.put("group.id", group);
props.put("value.deserializer", "org.apache.kafka.common.serialization.ByteArrayDeserializer");
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("enable.auto.commit", "true");
props.put("auto.commit.interval.ms", "10000");
log.debug("Creating kafka consumer...");
final KafkaConsumer<byte[], byte[]> kc = new KafkaConsumer<byte[], byte[]>(props);
consumer = kc;
log.info("Subscribing to topic '{}'", topic);
consumer.subscribe(Arrays.asList(topic));
log.info("Using codec {}", valueCodec);
List<PartitionInfo> partitionInfo = consumer.partitionsFor(topic);
log.debug("topic '{}' has {} partitions", topic, partitionInfo.size());
pollThread =
new Thread() {
public void run() {
try {
running.set(true);
while (running.get()) {
ConsumerRecords<byte[], byte[]> messages = consumer.poll(100L);
log.debug("Polled new messages: {}", messages);
while (messages == null || messages.count() < 1) {
messages = consumer.poll(1000L);
log.debug("Polled new messages: {}", messages);
}
if (messages != null) {
Iterator<ConsumerRecord<byte[], byte[]>> it = messages.iterator();
while (it.hasNext()) {
ConsumerRecord<byte[], byte[]> record = it.next();
Object key = record.key();
byte[] data = record.value();
Data item = null;
if (valueCodec != null) {
log.debug("de-serializing item using {}", valueCodec);
item = valueCodec.decode(data);
} else {
item = DataFactory.create();
if (key != null) {
item.put("@kafka:key", (Serializable) key);
}
item.put("@kafka:value", data);
}
item.put("@kafka:topic", record.topic());
item.put("@kafka:partition", record.partition());
queue.add(item);
}
}
}
} catch (Exception e) {
e.printStackTrace();
} finally {
log.info("Closing topic-stream reader...");
queue.add(endOfStream);
}
}
};
pollThread.setDaemon(true);
pollThread.start();
Signals.register(
new Hook() {
@Override
public void signal(int flags) {
log.info("Received shutdown-signal!");
running.set(false);
pollThread.interrupt();
log.info("Adding EOF to queue...");
queue.add(endOfStream);
}
});
}
/** @see stream.io.AbstractStream#readNext() */
@Override
public synchronized Data readNext() throws Exception {
if (pollThread == null) {
init();
}
if (closed) {
return null;
}
Data item = queue.take();
if (item == endOfStream) {
closed = true;
return null;
}
return item;
}
@Parameter(
required = false,
description =
"Codec to de-serialize Data item from message bytes, by default message bytes are stored in a new item in key '@kafka:value'.")
public void setCodec(String codec) {
if (codec != null) {
try {
this.valueCodec = CodecUtils.create(codec);
} catch (Exception e) {
e.printStackTrace();
throw new RuntimeException(
"Failed to create codec from '" + codec + "': " + e.getMessage());
}
}
}
}