I've only seen one thread containing information about the topic I've mentioned which is : How to Deserialising Kafka AVRO messages using Apache Beam
However, after trying a few variations of kafkaserializers I still cannot deserialize kafka messages. Here's my code:
public class Readkafka {
private static final Logger LOG = LoggerFactory.getLogger(Readkafka.class);
public static void main(String[] args) throws IOException {
// Create the Pipeline object with the options we defined above.
Pipeline p = Pipeline.create(
PipelineOptionsFactory.fromArgs(args).withValidation().create());
PTransform<PBegin, PCollection<KV<action_states_pkey, String>>> kafka =
KafkaIO.<action_states_pkey, String>read()
.withBootstrapServers("mybootstrapserver")
.withTopic("action_States")
.withKeyDeserializer(MyClassKafkaAvroDeserializer.class)
.withValueDeserializer(StringDeserializer.class)
.updateConsumerProperties(ImmutableMap.of("schema.registry.url", (Object)"schemaregistryurl"))
.withMaxNumRecords(5)
.withoutMetadata();
p.apply(kafka)
.apply(Keys.<action_states_pkey>create())
}
where MyClassKafkaAvroDeserilizer is
public class MyClassKafkaAvroDeserializer extends
AbstractKafkaAvroDeserializer implements Deserializer<action_states_pkey> {
@Override
public void configure(Map<String, ?> configs, boolean isKey) {
configure(new KafkaAvroDeserializerConfig(configs));
}
@Override
public action_states_pkey deserialize(String s, byte[] bytes) {
return (action_states_pkey) this.deserialize(bytes);
}
@Override
public void close() {} }
and the class action_states_pkey is code generated from avro tools using
java -jar pathtoavrotools/avro-tools-1.8.1.jar compile schema pathtoschema/action_states_pkey.avsc destination path
where the action_states_pkey.avsc is literally
{"type":"record","name":"action_states_pkey","namespace":"namespace","fields":[{"name":"ad_id","type":["null","int"]},{"name":"action_id","type":["null","int"]},{"name":"state_id","type":["null","int"]}]}
With this code I'm getting the error :
Caused by: java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot be cast to my.mudah.beam.test.action_states_pkey
at my.mudah.beam.test.MyClassKafkaAvroDeserializer.deserialize(MyClassKafkaAvroDeserializer.java:20)
at my.mudah.beam.test.MyClassKafkaAvroDeserializer.deserialize(MyClassKafkaAvroDeserializer.java:1)
at org.apache.beam.sdk.io.kafka.KafkaUnboundedReader.advance(KafkaUnboundedReader.java:221)
at org.apache.beam.sdk.io.BoundedReadFromUnboundedSource$UnboundedToBoundedSourceAdapter$Reader.advanceWithBackoff(BoundedReadFromUnboundedSource.java:279)
at org.apache.beam.sdk.io.BoundedReadFromUnboundedSource$UnboundedToBoundedSourceAdapter$Reader.start(BoundedReadFromUnboundedSource.java:256)
at com.google.cloud.dataflow.worker.WorkerCustomSources$BoundedReaderIterator.start(WorkerCustomSources.java:592)
... 14 more
It seems there's an error in trying to map the Avro Data to my custom class ?
Alternatively, I've tried the following code :
PTransform<PBegin, PCollection<KV<action_states_pkey, String>>> kafka =
KafkaIO.<action_states_pkey, String>read()
.withBootstrapServers("bootstrapserver")
.withTopic("action_states")
.withKeyDeserializerAndCoder((Class)KafkaAvroDeserializer.class, AvroCoder.of(action_states_pkey.class))
.withValueDeserializer(StringDeserializer.class)
.updateConsumerProperties(ImmutableMap.of("schema.registry.url", (Object)"schemaregistry"))
.withMaxNumRecords(5)
.withoutMetadata();
p.apply(kafka);
.apply(Keys.<action_states_pkey>create())
// .apply("ExtractWords", ParDo.of(new DoFn<action_states_pkey, String>() {
// @ProcessElement
// public void processElement(ProcessContext c) {
// action_states_pkey key = c.element();
// c.output(key.getAdId().toString());
// }
// }));
which does not give me any error until i try to print out the data. I have to verify that I'm succesfully reading the data one way or another so my intent here is to log the data in the console. If I uncomment the commented section i get the same error once again:
SEVERE: 2019-09-13T07:53:56.168Z: java.lang.ClassCastException: org.apache.avro.generic.GenericData$Record cannot be cast to my.mudah.beam.test.action_states_pkey
at my.mudah.beam.test.Readkafka$1.processElement(Readkafka.java:151)
Another thing to note is that if I specify :
.updateConsumerProperties(ImmutableMap.of("specific.avro.reader", (Object)"true"))
always gives me an error of
Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing Avro message for id 443
Caused by: org.apache.kafka.common.errors.SerializationException: Could not find class NAMESPACE.action_states_pkey specified in writer's schema whilst finding reader's schema for a SpecificRecord.
It seems there's something wrong with my approach? If anyone has any experience reading AVRO data from Kafka Streams using Apache Beam, please do help me out. I greatly appreciate it.
Here's a snapshot of my package with the schema and class in it as well: package/working path details
Thanks.
public class MyClassKafkaAvroDeserializer extends AbstractKafkaAvroDeserializer
Your class is extending the AbstractKafkaAvroDeserializer
which returns GenericRecord
.
You need to convert the GenericRecord
to your custom object .
OR
Use SpecificRecord
for this as stated in one of the following answers:
/**
* Extends deserializer to support ReflectData.
*
* @param <V>
* value type
*/
public abstract class ReflectKafkaAvroDeserializer<V> extends KafkaAvroDeserializer {
private Schema readerSchema;
private DecoderFactory decoderFactory = DecoderFactory.get();
protected ReflectKafkaAvroDeserializer(Class<V> type) {
readerSchema = ReflectData.get().getSchema(type);
}
@Override
protected Object deserialize(
boolean includeSchemaAndVersion,
String topic,
Boolean isKey,
byte[] payload,
Schema readerSchemaIgnored) throws SerializationException {
if (payload == null) {
return null;
}
int schemaId = -1;
try {
ByteBuffer buffer = ByteBuffer.wrap(payload);
if (buffer.get() != MAGIC_BYTE) {
throw new SerializationException("Unknown magic byte!");
}
schemaId = buffer.getInt();
Schema writerSchema = schemaRegistry.getByID(schemaId);
int start = buffer.position() + buffer.arrayOffset();
int length = buffer.limit() - 1 - idSize;
DatumReader<Object> reader = new ReflectDatumReader(writerSchema, readerSchema);
BinaryDecoder decoder = decoderFactory.binaryDecoder(buffer.array(), start, length, null);
return reader.read(null, decoder);
} catch (IOException e) {
throw new SerializationException("Error deserializing Avro message for id " + schemaId, e);
} catch (RestClientException e) {
throw new SerializationException("Error retrieving Avro schema for id " + schemaId, e);
}
}
}
The above is copied from https://stackoverflow.com/a/39617120/2534090
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