Hi I am new to Storm and Kafka.
I am using storm 1.0.1 and kafka 0.10.0
we have a kafkaspout that would receive java bean from kafka topic.
I have spent several hours digging to find the right approach for that.
Found few articles which are useful but none of the approaches worked for me so far.
Following is my codes:
StormTopology:
public class StormTopology {
public static void main(String[] args) throws Exception {
//Topo test /zkroot test
if (args.length == 4) {
System.out.println("started");
BrokerHosts hosts = new ZkHosts("localhost:2181");
SpoutConfig kafkaConf1 = new SpoutConfig(hosts, args[1], args[2],
args[3]);
kafkaConf1.zkRoot = args[2];
kafkaConf1.useStartOffsetTimeIfOffsetOutOfRange = true;
kafkaConf1.startOffsetTime = kafka.api.OffsetRequest.LatestTime();
kafkaConf1.scheme = new SchemeAsMultiScheme(new KryoScheme());
KafkaSpout kafkaSpout1 = new KafkaSpout(kafkaConf1);
System.out.println("started");
ShuffleBolt shuffleBolt = new ShuffleBolt(args[1]);
AnalysisBolt analysisBolt = new AnalysisBolt(args[1]);
TopologyBuilder topologyBuilder = new TopologyBuilder();
topologyBuilder.setSpout("kafkaspout", kafkaSpout1, 1);
//builder.setBolt("counterbolt2", countbolt2, 3).shuffleGrouping("kafkaspout");
//This is for field grouping in bolt we need two bolt for field grouping or it wont work
topologyBuilder.setBolt("shuffleBolt", shuffleBolt, 3).shuffleGrouping("kafkaspout");
topologyBuilder.setBolt("analysisBolt", analysisBolt, 5).fieldsGrouping("shuffleBolt", new Fields("trip"));
Config config = new Config();
config.registerSerialization(VehicleTrip.class, VehicleTripKyroSerializer.class);
config.setDebug(true);
config.setNumWorkers(1);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology(args[0], config, topologyBuilder.createTopology());
// StormSubmitter.submitTopology(args[0], config,
// builder.createTopology());
} else {
System.out
.println("Insufficent Arguements - topologyName kafkaTopic ZKRoot ID");
}
}
}
I am serializing the data at kafka using kryo
KafkaProducer:
public class StreamKafkaProducer {
private static Producer producer;
private final Properties props = new Properties();
private static final StreamKafkaProducer KAFKA_PRODUCER = new StreamKafkaProducer();
private StreamKafkaProducer(){
props.put("bootstrap.servers", "localhost:9092");
props.put("acks", "all");
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "com.abc.serializer.MySerializer");
producer = new org.apache.kafka.clients.producer.KafkaProducer(props);
}
public static StreamKafkaProducer getStreamKafkaProducer(){
return KAFKA_PRODUCER;
}
public void produce(String topic, VehicleTrip vehicleTrip){
ProducerRecord<String,VehicleTrip> producerRecord = new ProducerRecord<>(topic,vehicleTrip);
producer.send(producerRecord);
//producer.close();
}
public static void closeProducer(){
producer.close();
}
}
Kyro Serializer:
public class DataKyroSerializer extends Serializer<Data> implements Serializable {
#Override
public void write(Kryo kryo, Output output, VehicleTrip vehicleTrip) {
output.writeLong(data.getStartedOn().getTime());
output.writeLong(data.getEndedOn().getTime());
}
#Override
public Data read(Kryo kryo, Input input, Class<VehicleTrip> aClass) {
Data data = new Data();
data.setStartedOn(new Date(input.readLong()));
data.setEndedOn(new Date(input.readLong()));
return data;
}
I need to get the data back to the Data bean.
As per few articles I need to provide with a custom scheme and make it part of topology but till now I have no luck
Code for Bolt and Scheme
Scheme:
public class KryoScheme implements Scheme {
private ThreadLocal<Kryo> kryos = new ThreadLocal<Kryo>() {
protected Kryo initialValue() {
Kryo kryo = new Kryo();
kryo.addDefaultSerializer(Data.class, new DataKyroSerializer());
return kryo;
};
};
#Override
public List<Object> deserialize(ByteBuffer ser) {
return Utils.tuple(kryos.get().readObject(new ByteBufferInput(ser.array()), Data.class));
}
#Override
public Fields getOutputFields( ) {
return new Fields( "data" );
}
}
and bolt:
public class AnalysisBolt implements IBasicBolt {
/**
*
*/
private static final long serialVersionUID = 1L;
private String topicname = null;
public AnalysisBolt(String topicname) {
this.topicname = topicname;
}
public void prepare(Map stormConf, TopologyContext topologyContext) {
System.out.println("prepare");
}
public void execute(Tuple input, BasicOutputCollector collector) {
System.out.println("execute");
Fields fields = input.getFields();
try {
JSONObject eventJson = (JSONObject) JSONSerializer.toJSON((String) input
.getValueByField(fields.get(1)));
String StartTime = (String) eventJson.get("startedOn");
String EndTime = (String) eventJson.get("endedOn");
String Oid = (String) eventJson.get("_id");
int V_id = (Integer) eventJson.get("vehicleId");
//call method getEventForVehicleWithinTime(Long vehicleId, Date startTime, Date endTime)
System.out.println("==========="+Oid+"| "+V_id+"| "+StartTime+"| "+EndTime);
} catch (Exception e) {
e.printStackTrace();
}
}
but if I submit the storm topology i am getting error:
java.lang.IllegalStateException: Spout 'kafkaspout' contains a
non-serializable field of type com.abc.topology.KryoScheme$1, which
was instantiated prior to topology creation.
com.minda.iconnect.topology.KryoScheme$1 should be instantiated within
the prepare method of 'kafkaspout at the earliest.
Appreciate help to debug the issue and guide to right path.
Thanks
Your ThreadLocal is not Serializable. The preferable solution would be to make your serializer both Serializable and threadsafe. If this is not possible, then I see 2 alternatives since there is no prepare method as you would get in a bolt.
Declare it as static, which is inherently transient.
Declare it transient and access it via a private get method. Then you can initialize the variable on first access.
Within the Storm lifecycle, the topology is instantiated and then serialized to byte format to be stored in ZooKeeper, prior to the topology being executed. Within this step, if a spout or bolt within the topology has an initialized unserializable property, serialization will fail.
If there is a need for a field that is unserializable, initialize it within the bolt or spout's prepare method, which is run after the topology is delivered to the worker.
Source: Best Practices for implementing Apache Storm
Related
I have this flow that I am trying to test but nothing works as expected. The flow itself works well but testing seems a bit tricky.
This is my flow:
#Configuration
#RequiredArgsConstructor
public class FileInboundFlow {
private final ThreadPoolTaskExecutor threadPoolTaskExecutor;
private String filePath;
#Bean
public IntegrationFlow fileReaderFlow() {
return IntegrationFlows.from(Files.inboundAdapter(new File(this.filePath))
.filterFunction(...)
.preventDuplicates(false),
endpointConfigurer -> endpointConfigurer.poller(
Pollers.fixedDelay(500)
.taskExecutor(this.threadPoolTaskExecutor)
.maxMessagesPerPoll(15)))
.transform(new UnZipTransformer())
.enrichHeaders(this::headersEnricher)
.transform(Message.class, this::modifyMessagePayload)
.route(Map.class, this::channelsRouter)
.get();
}
private String channelsRouter(Map<String, File> payload) {
boolean isZip = payload.values()
.stream()
.anyMatch(file -> isZipFile(file));
return isZip ? ZIP_CHANNEL : XML_CHANNEL; // ZIP_CHANNEL and XML_CHANNEL are PublishSubscribeChannel
}
#Bean
public SubscribableChannel xmlChannel() {
var channel = new PublishSubscribeChannel(this.threadPoolTaskExecutor);
channel.setBeanName(XML_CHANNEL);
return channel;
}
#Bean
public SubscribableChannel zipChannel() {
var channel = new PublishSubscribeChannel(this.threadPoolTaskExecutor);
channel.setBeanName(ZIP_CHANNEL);
return channel;
}
//There is a #ServiceActivator on each channel
#ServiceActivator(inputChannel = XML_CHANNEL)
public void handleXml(Message<Map<String, File>> message) {
...
}
#ServiceActivator(inputChannel = ZIP_CHANNEL)
public void handleZip(Message<Map<String, File>> message) {
...
}
//Plus an #Transformer on the XML_CHANNEL
#Transformer(inputChannel = XML_CHANNEL, outputChannel = BUS_CHANNEL)
private List<BusData> xmlFileToIngestionMessagePayload(Map<String, File> xmlFilesByName) {
return xmlFilesByName.values()
.stream()
.map(...)
.collect(Collectors.toList());
}
}
I would like to test multiple cases, the first one is checking the message payload published on each channel after the end of fileReaderFlow.
So I defined this test classe:
#SpringBootTest
#SpringIntegrationTest
#ExtendWith(SpringExtension.class)
class FileInboundFlowTest {
#Autowired
private MockIntegrationContext mockIntegrationContext;
#TempDir
static Path localWorkDir;
#BeforeEach
void setUp() {
copyFileToTheFlowDir(); // here I copy a file to trigger the flow
}
#Test
void checkXmlChannelPayloadTest() throws InterruptedException {
Thread.sleep(1000); //waiting for the flow execution
PublishSubscribeChannel xmlChannel = this.getBean(XML_CHANNEL, PublishSubscribeChannel.class); // I extract the channel to listen to the message sent to it.
xmlChannel.subscribe(message -> {
assertThat(message.getPayload()).isInstanceOf(Map.class); // This is never executed
});
}
}
As expected that test does not work because the assertThat(message.getPayload()).isInstanceOf(Map.class); is never executed.
After reading the documentation I didn't find any hint to help me solved that issue. Any help would be appreciated! Thanks a lot
First of all that channel.setBeanName(XML_CHANNEL); does not effect the target bean. You do this on the bean creation phase and dependency injection container knows nothing about this setting: it just does not consult with it. If you really would like to dictate an XML_CHANNEL for bean name, you'd better look into the #Bean(name) attribute.
The problem in the test that you are missing the fact of async logic of the flow. That Files.inboundAdapter() works if fully different thread and emits messages outside of your test method. So, even if you could subscribe to the channel in time, before any message is emitted to it, that doesn't mean your test will work correctly: the assertThat() will be performed on a different thread. Therefore no real JUnit report for your test method context.
So, what I'd suggest to do is:
Have Files.inboundAdapter() stopped in the beginning of the test before any setup you'd like to do in the test. Or at least don't place files into that filePath, so the channel adapter doesn't emit messages.
Take the channel from the application context and if you wish subscribe or use a ChannelInterceptor.
Have an async barrier, e.g. CountDownLatch to pass to that subscriber.
Start the channel adapter or put file into the dir for scanning.
Wait for the async barrier before verifying some value or state.
I'm working on a project where we are polling files from a sftp server and streaming it out into a object on the rabbitmq queue. Now when the rabbitmq is down it still polls and deletes the file from the server and losses the file while sending it on queue when rabbitmq is down. I'm using ExpressionEvaluatingRequestHandlerAdvice to remove the file on successful transformation. My code looks like this:
#Bean
public SessionFactory<ChannelSftp.LsEntry> sftpSessionFactory() {
DefaultSftpSessionFactory factory = new DefaultSftpSessionFactory(true);
factory.setHost(sftpProperties.getSftpHost());
factory.setPort(sftpProperties.getSftpPort());
factory.setUser(sftpProperties.getSftpPathUser());
factory.setPassword(sftpProperties.getSftpPathPassword());
factory.setAllowUnknownKeys(true);
return new CachingSessionFactory<>(factory);
}
#Bean
public SftpRemoteFileTemplate sftpRemoteFileTemplate() {
return new SftpRemoteFileTemplate(sftpSessionFactory());
}
#Bean
#InboundChannelAdapter(channel = TransformerChannel.TRANSFORMER_OUTPUT, autoStartup = "false",
poller = #Poller(value = "customPoller"))
public MessageSource<InputStream> sftpMessageSource() {
SftpStreamingMessageSource messageSource = new SftpStreamingMessageSource(sftpRemoteFileTemplate,
null);
messageSource.setRemoteDirectory(sftpProperties.getSftpDirPath());
messageSource.setFilter(new SftpPersistentAcceptOnceFileListFilter(new SimpleMetadataStore(),
"streaming"));
messageSource.setFilter(new SftpSimplePatternFileListFilter("*.txt"));
return messageSource;
}
#Bean
#Transformer(inputChannel = TransformerChannel.TRANSFORMER_OUTPUT,
outputChannel = SFTPOutputChannel.SFTP_OUTPUT,
adviceChain = "deleteAdvice")
public org.springframework.integration.transformer.Transformer transformer() {
return new SFTPTransformerService("UTF-8");
}
#Bean
public ExpressionEvaluatingRequestHandlerAdvice deleteAdvice() {
ExpressionEvaluatingRequestHandlerAdvice advice = new ExpressionEvaluatingRequestHandlerAdvice();
advice.setOnSuccessExpressionString(
"#sftpRemoteFileTemplate.remove(headers['file_remoteDirectory'] + headers['file_remoteFile'])");
advice.setPropagateEvaluationFailures(false);
return advice;
}
I don't want the files to get removed/polled from the remote sftp server when the rabbitmq server is down. How can i achieve this ?
UPDATE
Apologies for not mentioning that I'm using spring cloud stream rabbit binder. And here is the transformer service:
public class SFTPTransformerService extends StreamTransformer {
public SFTPTransformerService(String charset) {
super(charset);
}
#Override
protected Object doTransform(Message<?> message) throws Exception {
String fileName = message.getHeaders().get("file_remoteFile", String.class);
Object fileContents = super.doTransform(message);
return new customFileDTO(fileName, (String) fileContents);
}
}
UPDATE-2
I added TransactionSynchronizationFactory on the customPoller as suggested. Now it doesn't poll file when rabbit server is down, but when the server is up, it keeps on polling the same file over and over again!! I cannot figure it out why? I guess i cannot use PollerSpec cause im on 4.3.2 version.
#Bean(name = "customPoller")
public PollerMetadata pollerMetadataDTX(StartStopTrigger startStopTrigger,
CustomTriggerAdvice customTriggerAdvice) {
PollerMetadata pollerMetadata = new PollerMetadata();
pollerMetadata.setAdviceChain(Collections.singletonList(customTriggerAdvice));
pollerMetadata.setTrigger(startStopTrigger);
pollerMetadata.setMaxMessagesPerPoll(Long.valueOf(sftpProperties.getMaxMessagePoll()));
ExpressionEvaluatingTransactionSynchronizationProcessor syncProcessor =
new ExpressionEvaluatingTransactionSynchronizationProcessor();
syncProcessor.setBeanFactory(applicationContext.getAutowireCapableBeanFactory());
syncProcessor.setBeforeCommitChannel(
applicationContext.getBean(TransformerChannel.TRANSFORMER_OUTPUT, MessageChannel.class));
syncProcessor
.setAfterCommitChannel(
applicationContext.getBean(SFTPOutputChannel.SFTP_OUTPUT, MessageChannel.class));
syncProcessor.setAfterCommitExpression(new SpelExpressionParser().parseExpression(
"#sftpRemoteFileTemplate.remove(headers['file_remoteDirectory'] + headers['file_remoteFile'])"));
DefaultTransactionSynchronizationFactory defaultTransactionSynchronizationFactory =
new DefaultTransactionSynchronizationFactory(syncProcessor);
pollerMetadata.setTransactionSynchronizationFactory(defaultTransactionSynchronizationFactory);
return pollerMetadata;
}
I don't know if you need this info but my CustomTriggerAdvice and StartStopTrigger looks like this :
#Component
public class CustomTriggerAdvice extends AbstractMessageSourceAdvice {
#Autowired private StartStopTrigger startStopTrigger;
#Override
public boolean beforeReceive(MessageSource<?> source) {
return true;
}
#Override
public Message<?> afterReceive(Message<?> result, MessageSource<?> source) {
if (result == null) {
if (startStopTrigger.getStart()) {
startStopTrigger.stop();
}
} else {
if (!startStopTrigger.getStart()) {
startStopTrigger.stop();
}
}
return result;
}
}
public class StartStopTrigger implements Trigger {
private PeriodicTrigger startTrigger;
private boolean start;
public StartStopTrigger(PeriodicTrigger startTrigger, boolean start) {
this.startTrigger = startTrigger;
this.start = start;
}
#Override
public Date nextExecutionTime(TriggerContext triggerContext) {
if (!start) {
return null;
}
start = true;
return startTrigger.nextExecutionTime(triggerContext);
}
public void stop() {
start = false;
}
public void start() {
start = true;
}
public boolean getStart() {
return this.start;
}
}
Well, would be great to see what your SFTPTransformerService and determine how it is possible to perform an onSuccessExpression when there should be an exception in case of down broker.
You also should not only throw an exception do not perform delete, but consider to add a RequestHandlerRetryAdvice to re-send the file to the RabbitMQ: https://docs.spring.io/spring-integration/docs/5.0.6.RELEASE/reference/html/messaging-endpoints-chapter.html#retry-advice
UPDATE
So, well, since Gary guessed that you use Spring Cloud Stream to send message to the Rabbit Binder after your internal process (very sad that you didn't share that information originally), you need to take a look to the Binder error handling on the matter: https://docs.spring.io/spring-cloud-stream/docs/Elmhurst.RELEASE/reference/htmlsingle/#_retry_with_the_rabbitmq_binder
And that is true that ExpressionEvaluatingRequestHandlerAdvice is applied only for the SFTPTransformerService and nothing more. The downstream error (in the Binder) is not included in this process already.
UPDATE 2
Yeah... I think Gary is right, and we don't have choice unless configure a TransactionSynchronizationFactory on the customPoller level instead of that ExpressionEvaluatingRequestHandlerAdvice: ExpressionEvaluatingRequestHandlerAdvice .
The DefaultTransactionSynchronizationFactory can be configured with the ExpressionEvaluatingTransactionSynchronizationProcessor, which has similar goal as the mentioned ExpressionEvaluatingRequestHandlerAdvice, but on the transaction level which will include your process starting with the SFTP Channel Adapter and ending on the Rabbit Binder level with the send to AMQP attempts.
See Reference Manual for more information: https://docs.spring.io/spring-integration/reference/html/transactions.html#transaction-synchronization.
The point with the ExpressionEvaluatingRequestHandlerAdvice (and any AbstractRequestHandlerAdvice) that they have a boundary only around handleRequestMessage() method, therefore only during the component they are declared.
I created a custom class that is based on Apache Flink. The following are some parts of the class definition:
public class StreamData {
private StreamExecutionEnvironment env;
private DataStream<byte[]> data ;
private Properties properties;
public StreamData(){
env = StreamExecutionEnvironment.getExecutionEnvironment();
}
public StreamData(StreamExecutionEnvironment e , DataStream<byte[]> d){
env = e ;
data = d ;
}
public StreamData getDataFromESB(String id, int from) {
final Pattern TOPIC = Pattern.compile(id);
Properties properties = new Properties();
properties.setProperty("bootstrap.servers", "localhost:9092");
properties.setProperty("group.id", Long.toString(System.currentTimeMillis()));
properties.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
properties.setProperty("value.deserializer", "org.apache.kafka.common.serialization.ByteArrayDeserializer");
properties.put("metadata.max.age.ms", 30000);
properties.put("enable.auto.commit", "false");
if (from == 0)
properties.setProperty("auto.offset.reset", "earliest");
else
properties.setProperty("auto.offset.reset", "latest");
StreamExecutionEnvironment e = StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<byte[]> stream = env
.addSource(new FlinkKafkaConsumer011<>(TOPIC, new AbstractDeserializationSchema<byte[]>() {
#Override
public byte[] deserialize(byte[] bytes) {
return bytes;
}
}, properties));
return new StreamData(e, stream);
}
public void print(){
data.print() ;
}
public void execute() throws Exception {
env.execute() ;
}
Using class StreamData, trying to get some data from Apache Kafka and print them in the main function:
StreamData stream = new StreamData();
stream.getDataFromESB("original_data", 0);
stream.print();
stream.execute();
I got the error:
Exception in thread "main" org.apache.flink.api.common.InvalidProgramException: The implementation of the FlinkKafkaConsumer010 is not serializable. The object probably contains or references non serializable fields.
Caused by: java.io.NotSerializableException: StreamData
As mentioned here, I think it's because of some data type in getDataFromESB function is not serializable. But I don't know how to solve the problem!
Your AbstractDeserializationSchema is an anonymous inner class, which as a result contains a reference to the outer StreamData class which isn't serializable. Either let StreamData implement Serializable, or define your schema as a top-level class.
It seems that you are importing FlinkKafkaConsumer010 in your code but using FlinkKafkaConsumer011. Please use the following dependency in your sbt file:
"org.apache.flink" %% "flink-connector-kafka-0.11" % flinkVersion
I am using Hazelcast 3.6.1 to read from a Map. The object class stored in the map is called Schedule.
I have configured a custom serializer on the client side like this.
ClientConfig config = new ClientConfig();
SerializationConfig sc = config.getSerializationConfig();
sc.addSerializerConfig(add(new ScheduleSerializer(), Schedule.class));
...
private SerializerConfig add(Serializer serializer, Class<? extends Serializable> clazz) {
SerializerConfig sc = new SerializerConfig();
sc.setImplementation(serializer).setTypeClass(clazz);
return sc;
}
The map is created like this
private final IMap<String, Schedule> map = client.getMap("schedule");
If I get from the map using schedule id as key, the map returns the correct value e.g.
return map.get("zx81");
If I try to use an SQL predicate e.g.
return new ArrayList<>(map.values(new SqlPredicate("statusActive")));
then I get the following error
Exception in thread "main" com.hazelcast.nio.serialization.HazelcastSerializationException: There is no suitable de-serializer for type 2. This exception is likely to be caused by differences in the serialization configuration between members or between clients and members.
The custom serializer is using Kryo to serialize (based on this blog http://blog.hazelcast.com/comparing-serialization-methods/)
public class ScheduleSerializer extends CommonSerializer<Schedule> {
#Override
public int getTypeId() {
return 2;
}
#Override
protected Class<Schedule> getClassToSerialize() {
return Schedule.class;
}
}
The CommonSerializer is defined as
public abstract class CommonSerializer<T> implements StreamSerializer<T> {
protected abstract Class<T> getClassToSerialize();
#Override
public void write(ObjectDataOutput objectDataOutput, T object) {
Output output = new Output((OutputStream) objectDataOutput);
Kryo kryo = KryoInstances.get();
kryo.writeObject(output, object);
output.flush(); // do not close!
KryoInstances.release(kryo);
}
#Override
public T read(ObjectDataInput objectDataInput) {
Input input = new Input((InputStream) objectDataInput);
Kryo kryo = KryoInstances.get();
T result = kryo.readObject(input, getClassToSerialize());
input.close();
KryoInstances.release(kryo);
return result;
}
#Override
public void destroy() {
// empty
}
}
Do I need to do any configuration on the server side? I thought that the client config would be enough.
I am using Hazelcast client 3.6.1 and have one node/member running.
Queries require the nodes to know about the classes as the bytestream has to be deserialized to access the attributes and query them. This means that when you want to query on objects you have to deploy the model classes (and serializers) on the server side as well.
Whereas when you use key-based access we do not need to look into the values (neither into the keys as we compare the byte-arrays of the key) and just send the result. That way neither model classes nor serializers have to be available on the Hazelcast nodes.
I hope that makes sense.
I am using #RabbitListner annotation to recieve messages from a RabbitMq queue.
Although I have done all steps required to do this (i.e. Add #EnableRabbit annotation in my config class) and declare SimpleRabbitListenerContainerFactory as a bean , still my method is not recieving messages from the queue . Can anybody suggest what I am missing :
I am using Spring Boot to launch my application
My launch class
#Configuration
#EnableAutoConfiguration
#EnableRabbit
#EnableConfigurationProperties
#EntityScan("persistence.mysql.domain")
#EnableJpaRepositories("persistence.mysql.dao")
#ComponentScan(excludeFilters = { #ComponentScan.Filter(type = FilterType.ASSIGNABLE_TYPE, value = ApiAuthenticationFilter.class),#ComponentScan.Filter(type = FilterType.ASSIGNABLE_TYPE, value = ApiVersionValidationFilter.class)},basePackages = {"common", "mqclient","apache", "dispatcher" })
public class Application {
public static void main(final String[] args) {
final SpringApplicationBuilder appBuilder = new SpringApplicationBuilder(
Application.class);
appBuilder.application().setWebEnvironment(false);
appBuilder.profiles("common", "common_mysql_db", "common_rabbitmq")
.run(args);
}
#Bean
#Primary
#ConfigurationProperties(prefix = "spring.datasource")
public DataSource primaryDataSource() {
return DataSourceBuilder.create().build();
}
}
Here is my Bean to define SimpleRabbitListenerContainerFactory inside a component class
#Component(value = "inputQueueManager")
public class InputQueueManagerImpl extends AbstractQueueManagerImpl {
..///..
#Bean(name = "inputListenerContainerFactory")
public SimpleRabbitListenerContainerFactory rabbitListenerContainerFactory()
{
SimpleRabbitListenerContainerFactory factory = new
SimpleRabbitListenerContainerFactory();
factory.setConnectionFactory(this.rabbitConnectionFactory);
factory.setConcurrentConsumers(Integer.parseInt(this.concurrentConsumers));
factory.setMaxConcurrentConsumers(Integer.parseInt(this.maxConcurrentConsumers));
factory.setMessageConverter(new Jackson2JsonMessageConverter());
return factory;
}
}
And finally my Listener inside another Controller component
#Controller
public class RabbitListner{
#RabbitListener(queues = "Storm1", containerFactory = "inputListenerContainerFactory")
#Override
public void processMessage(QueueMessage message) {
String topic = message.getTopic();
String payload = message.getPayload();
dispatcher.bean.EventBean eventBean = new dispatcher.bean.EventBean();
System.out.println("Data read from the queue");
Unfortunately , I am sending the messages to the queue but the code inside processMessage is not getting executed ever.
I am not sure what is the problem here . Can anybody help ??
By default, the Json message converter requires hints in the message properties as to what type of object to create.
If your producer does not set those properties, it won't be able to do the conversion without some help.
You can inject a ClassMapper into the converter.
The framework provides a DefaultClassMapper which can be customized - either to look at a different message property than the default __TypeId__ property.
If you always want to convert the json to the same object, you can simply set the default type:
DefaultClassMapper classMapper = newDefaultClassMapper();
classMapper.setDefaultType(QueueMessage.class);
Jackson2JsonMessageConverter converter = new Jackson2JsonMessageConverter();
converter.setClassMapper(classMapper);
factory.setMessageConverter(new Jackson2JsonMessageConverter());
The documentation already shows how to configure this.