Avro Date對象的SerializationException（Date LogicalType）

Question

我有一個接受GenericRecord類的發佈者。

@Override 
public Future<RecordMetadata> publish(GenericRecord genericRecord) { 
    Future<RecordMetadata> recordMetadataFuture = 
      getPublisher().send(new ProducerRecord<>(producerConfiguration.getProperties() 
        .getProperty(ProducerConfiguration.PROPERTY_NAME_TOPIC), "sample.key",genericRecord)); 

    return recordMetadataFuture; 
} 

private KafkaProducer<String, GenericRecord> getPublisher() { 
    return new KafkaProducer<>(producerConfiguration.getProperties()); 
} 

而且我有以下的Avro模式：

{ 
"type" : "record", 
"name" : "SampleDate", 
"namespace": "com.sample.data.generated.avro", 
"doc" : "sample date", 
"fields" : [ 
    { 
     "name" : "sampleDate", 
     "type" : { 
      "type" : "int", 
      "logicalType" : "date" 
     } 
    } 
    ] 
} 

我建立我自己的序列：

日期串行：

@Component 
public class SampleDateSerializer implements Serializer<GenericRecord> { 

private AvroGenericSerializer serializer; 

@Override 
public void configure(Map<String, ?> configs, boolean isKey) { 
    serializer = new AvroGenericSerializer(SampleDate.SCHEMA$); 
} 

@Override 
public byte[] serialize(String topic, GenericRecord data) { 
    return serializer.serialize(data); 
} 

@Override 
public void close() { 

} 

通用串行：

public class AvroGenericSerializer { 
private EncoderFactory avroEncoderFactory; 
private DecoderFactory avroDecoderFactory; 
private GenericDatumWriter<GenericRecord> avroWriter; 
private GenericDatumReader<GenericRecord> avroReader; 

public AvroGenericSerializer(Schema schema) { 
    avroEncoderFactory = EncoderFactory.get(); 
    avroDecoderFactory = DecoderFactory.get(); 
    avroWriter = new GenericDatumWriter<>(schema); 
    avroReader = new GenericDatumReader<>(schema); 
} 

public byte[] serialize(GenericRecord data) { 
    final ByteArrayOutputStream stream = new ByteArrayOutputStream(); 
    final BinaryEncoder binaryEncoder = avroEncoderFactory.binaryEncoder(stream, null); 
    try { 
     avroWriter.write(data, binaryEncoder); 
     binaryEncoder.flush(); 
     stream.close(); 
     return stream.toByteArray(); 
    } catch (IOException e) { 
     throw new RuntimeException("Can't serialize Avro object", e); 
    } 
} 

public GenericRecord deserialize(byte[] bytes) { 
    try { 
     return avroReader.read(null, avroDecoderFactory.binaryDecoder(bytes, null)); 
    } catch (IOException e) { 
     throw new RuntimeException("Can't deserialize Avro object", e); 
    } 
} 
} 

然而，測試我的出版商上課的時候，我遇到了以下錯誤：

org.apache.kafka.common.errors.SerializationException: Can't convert value of class com.sample.data.generated.avro.SampleDate to class com.sample.message.serialize.SampleDateSerializer specified in value.serializer 

調試代碼，我已經發現，調用

當

GenericDatumWriter.write()... 

方法返回null

Conversion conversion = this.getData().getConversionByClass(datum.getClass(), logicalType); 

它被稱爲

org.apache.avro.generic.GenericData 

    public <T> Conversion<T> getConversionByClass(Class<T> datumClass, LogicalType logicalType) { 
    Map conversions = (Map)this.conversionsByClass.get(datumClass); 
    return conversions != null?(Conversion)conversions.get(logicalType.getName()):null; 
} 

在這一點上，是有我來填充

GenericData.conversionsByClass 

地圖，以便它可以返回正確的轉換器用於給定

date logicalType? 

Answer 1

我已經解決辦法它通過在我的GenericDatumWriter中傳遞GenericData對象。

我的通用串行現在看起來是這樣的：

public AvroGenericSerializer(Schema schema) { 
    avroEncoderFactory = EncoderFactory.get(); 
    avroDecoderFactory = DecoderFactory.get(); 
    final GenericData genericData = new GenericData(); 
    genericData.addLogicalTypeConversion(new TimeConversions.DateConversion()); 
    avroWriter = new GenericDatumWriter<>(schema, genericData); 
    avroReader = new GenericDatumReader<>(schema); 
}