本篇文章给大家分享的是有关怎么进行Pulsar Kafka Client的简单分析,小编觉得挺实用的,因此分享给大家学习,希望大家阅读完这篇文章后可以有所收获,话不多说,跟着小编一起来看看吧。
⌨️ 引入依赖
<dependency> <groupId>org.apache.pulsar</groupId> <artifactId>pulsar-client-kafka</artifactId> <version>{project.version}</version></dependency>
⌨️ 使用 Kafka Schema
>>> 添加生产者代码
String topic = "persistent://public/default/test";
Properties props = new Properties();
props.put("bootstrap.servers", "pulsar://localhost:6650");
props.put("key.serializer", IntegerSerializer.class.getName());
props.put("value.serializer", StringSerializer.class.getName());
Producer<Integer, String> producer = new KafkaProducer<>(props);
for (int i = 0; i < 10; i++) {
producer.send(new ProducerRecord<Integer, String>(topic, i, Integer.toString(i)));
}
producer.close();
>>> 添加消费者代码
String topic = "persistent://public/default/test";
Properties props = new Properties();
props.put("bootstrap.servers", "pulsar://localhost:6650");
props.put("group.id", "my-subscription-name");
props.put("enable.auto.commit", "false");
props.put("key.deserializer", IntegerDeserializer.class.getName());
props.put("value.deserializer", StringDeserializer.class.getName());
@SuppressWarnings("resource")
Consumer<Integer, String> consumer = new KafkaConsumer<>(props);
consumer.subscribe(Arrays.asList(topic));
while (true) {
ConsumerRecords<Integer, String> records = consumer.poll(100);
records.forEach(record -> {
log.info("Received record: {}", record);
});
// Commit last offset
consumer.commitSync();
}
⌨️ 使用 Pulsar Schema
@Data
@ToString
@EqualsAndHashCode
public class Foo {
@Nullable
private String field1;
@Nullable
private String field2;
private int field3;
}
@Data
@ToString
@EqualsAndHashCode
public class Bar {
private boolean field1;
}
>>> 生产者端代码
String topic = "persistent://public/default/test-avro";
Properties props = new Properties();
props.put("bootstrap.servers", "pulsar://localhost:6650");
props.put("key.serializer", IntegerSerializer.class.getName());
props.put("value.serializer", StringSerializer.class.getName());
AvroSchema<Bar> barSchema = AvroSchema.of(SchemaDefinition.<Bar>builder().withPojo(Bar.class).build());
AvroSchema<Foo> fooSchema = AvroSchema.of(SchemaDefinition.<Foo>builder().withPojo(Foo.class).build());
Bar bar = new Bar();
bar.setField1(true);
Foo foo = new Foo();
foo.setField1("field1");
foo.setField2("field2");
foo.setField3(3);
Producer<Foo, Bar> producer = new KafkaProducer<>(props, fooSchema, barSchema);
for (int i = 0; i < 10; i++) {
producer.send(new ProducerRecord<Foo, Bar>(topic, i, foo, bar));
log.info("Message {} sent successfully", i);
}
producer.close();
>>> 消费者端代码
String topic = "persistent://public/default/test-avro";
Properties props = new Properties();
props.put("bootstrap.servers", "pulsar://localhost:6650");
props.put("group.id", "my-subscription-name");
props.put("enable.auto.commit", "false");
props.put("key.deserializer", IntegerDeserializer.class.getName());
props.put("value.deserializer", StringDeserializer.class.getName());
AvroSchema<Bar> barSchema = AvroSchema.of(SchemaDefinition.<Bar>builder().withPojo(Bar.class).build());
AvroSchema<Foo> fooSchema = AvroSchema.of(SchemaDefinition.<Foo>builder().withPojo(Foo.class).build());
Bar bar = new Bar();
bar.setField1(true);
Foo foo = new Foo();
foo.setField1("field1");
foo.setField2("field2");
foo.setField3(3);
@SuppressWarnings("resource")
Consumer<Foo, Bar> consumer = new PulsarKafkaConsumer<>(props, fooSchema, barSchema);
consumer.subscribe(Arrays.asList(topic));
while (true) {
ConsumerRecords<Foo, Bar> records = consumer.poll(100);
records.forEach(record -> {
log.info("Received record: {}", record);
});
// Commit last offset
consumer.commitSync();
}
以上就是怎么进行Pulsar Kafka Client的简单分析,小编相信有部分知识点可能是我们日常工作会见到或用到的。希望你能通过这篇文章学到更多知识。更多详情敬请关注亿速云行业资讯频道。
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