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
计算
安全
数据库
网络和加速
企业服务
<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@EqualsAndHashCodepublic class Foo { @Nullable private String field1; @Nullable private String field2; private int field3;}@Data@ToString@EqualsAndHashCodepublic 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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原文链接：https://my.oschina.net/apachepulsar/blog/4466692
