Apache Flink 从 Kafka 读取 Avro byte[] [英] Apache Flink read Avro byte[] from Kafka
问题描述
在回顾示例时,我看到了很多这样的内容:
In reviewing examples I see alot of this:
FlinkKafkaConsumer08<Event> kafkaConsumer = new FlinkKafkaConsumer08<>("myavrotopic", avroSchema, properties);
我看到他们在这里已经知道架构.
I see that they here already know the schema.
在将 byte[] 读入通用记录之前,我不知道架构然后获取架构.(因为它可能会因记录而异)
I do not know the schema until I read the byte[] into a Generic Record then get the schema. (As it may change from record to record)
有人可以将我指向从 byte[]
读取到映射过滤器的 FlinkKafkaConsumer08
,以便我可以删除一些前导位,然后加载该 byte[]
变成通用记录?
Can someone point me into a FlinkKafkaConsumer08
that reads from byte[]
into a map filter so that I can remove some leading bits, then load that byte[]
into a Generic Record ?
推荐答案
我正在做类似的事情(我正在使用 09 消费者)
I'm doing something similar (I'm using the 09 consumer)
在自定义反序列化器的主要代码中:
In your main code pass in your custom deserializer:
FlinkKafkaConsumer09<Object> kafkaConsumer = new FlinkKafkaConsumer09<>(
parameterTool.getRequired("topic"), new MyDeserializationSchema<>(),
parameterTool.getProperties());
自定义反序列化架构读取字节、计算架构和/或从架构注册表中检索它,反序列化为 GenericRecord 并返回 GenericRecord 对象.
The custom Deserialization Schema reads the bytes, figures out the schema and/or retrieves it from a schema registry, deserializes into a GenericRecord and returns the GenericRecord object.
public class MyDeserializationSchema<T> implements DeserializationSchema<T> {
private final Class<T> avrotype = (Class<T>) org.apache.avro.generic.GenericRecord.class;
@Override
public T deserialize(byte[] arg0) throws IOException {
//do your stuff here, strip off your bytes
//deserialize and create your GenericRecord
return (T) (myavroevent);
}
@Override
public boolean isEndOfStream(T nextElement) {
return false;
}
@Override
public TypeInformation<T> getProducedType() {
return TypeExtractor.getForClass(avrotype);
}
}
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