Kafka遇到30042ms has passed since batch creation plus linger time at org.apache.kafka.clients.producer...
时间: 2024-05-23 21:15:52 浏览: 10
这个问题出现的原因是Kafka生产者在等待发送消息的批次中的消息数量达到一定数量或等待时间超过了设定的linger时间,但是在等待期间没有新的消息加入批次中,导致批次中的消息没有被发送出去。这可能是由于生产者的发送速度过慢或者服务器负载过高造成的。
解决这个问题的方法是可以通过增加producer的batch.size参数或者减小linger.ms参数来减少批次中消息的数量或等待时间,或者优化生产者的发送速度,同时也可以考虑增加Kafka集群的吞吐量以支持更高的负载。
相关问题
请给出kafka的producer和consumer代码
好的,以下是Kafka的Producer和Consumer代码示例(使用Java语言):
Producer代码示例:
```java
import org.apache.kafka.clients.producer.*;
import java.util.Properties;
public class KafkaProducerExample {
public static void main(String[] args) {
String topicName = "test-topic"; // 指定topic名称
Properties props = new Properties(); // 创建Properties对象
props.put("bootstrap.servers", "localhost:9092"); // 指定Kafka Broker地址
props.put("acks", "all"); // 指定Producer写入的确认方式
props.put("retries", 0); // 如果发送失败,Producer重新发送的次数
props.put("batch.size", 16384); // 批处理大小
props.put("linger.ms", 1); // 等待时间,如果数据达到batch.size就不等待
props.put("buffer.memory", 33554432); // 缓冲区大小
// 创建Producer对象
Producer<String, String> producer = new KafkaProducer<>(props);
// 发送数据
for (int i = 0; i < 10; i++)
producer.send(new ProducerRecord<>(topicName, Integer.toString(i), Integer.toString(i)));
System.out.println("Message sent successfully");
producer.close();
}
}
```
Consumer代码示例:
```java
import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.common.TopicPartition;
import java.util.Arrays;
import java.util.Properties;
public class KafkaConsumerExample {
public static void main(String[] args) {
String topicName = "test-topic"; // 指定topic名称
String groupName = "test-group"; // 指定consumer group名称
Properties props = new Properties(); // 创建Properties对象
props.put("bootstrap.servers", "localhost:9092"); // 指定Kafka Broker地址
props.put("group.id", groupName); // 指定consumer group
props.put("enable.auto.commit", "true"); // 是否自动提交offset
props.put("auto.commit.interval.ms", "1000"); // 自动提交offset的时间间隔
props.put("session.timeout.ms", "30000"); // session超时设置
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); // key反序列化器
props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); // value反序列化器
// 创建Consumer对象
KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(props);
// 订阅topic
consumer.subscribe(Arrays.asList(topicName));
// 循环读取消息
while (true) {
ConsumerRecords<String, String> records = consumer.poll(100);
for (ConsumerRecord<String, String> record : records) {
System.out.println("offset = " + record.offset() + ", key = " + record.key() + ", value = " + record.value());
// 手动提交offset
TopicPartition tp = new TopicPartition(record.topic(), record.partition());
OffsetAndMetadata oam = new OffsetAndMetadata(record.offset(), "no metadata");
consumer.commitSync(Arrays.asList(new OffsetCommitRequest.TopicAndPartition[]{new OffsetCommitRequest.TopicAndPartition(tp, oam)}));
}
}
}
}
```
希望这个代码示例对您有所帮助!
项目集成ons-client和kafka-clients
集成ons-client和kafka-clients的过程如下:
1. 在项目的pom.xml文件中添加ons-client和kafka-clients的依赖:
```xml
<dependencies>
<dependency>
<groupId>com.aliyun.openservices</groupId>
<artifactId>ons-client</artifactId>
<version>1.0.0</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>2.2.1</version>
</dependency>
</dependencies>
```
2. 在项目中编写ons-client和kafka-clients的配置文件,例如在resources目录下新建ons.properties和kafka.properties文件:
ons.properties文件:
```properties
accessKey=<your_access_key>
secretKey=<your_secret_key>
onsAddr=<your_ons_address>
```
kafka.properties文件:
```properties
bootstrap.servers=<your_kafka_bootstrap_servers>
acks=all
retries=0
batch.size=16384
linger.ms=1
buffer.memory=33554432
key.serializer=org.apache.kafka.common.serialization.StringSerializer
value.serializer=org.apache.kafka.common.serialization.StringSerializer
key.deserializer=org.apache.kafka.common.serialization.StringDeserializer
value.deserializer=org.apache.kafka.common.serialization.StringDeserializer
```
3. 在代码中使用ons-client和kafka-clients发送和接收消息,例如:
使用ons-client发送消息:
```java
Properties properties = new Properties();
properties.load(this.getClass().getClassLoader().getResourceAsStream("ons.properties"));
Producer producer = ONSFactory.createProducer(properties);
Message message = new Message("topic_test", "tag_test", "Hello, ONS!".getBytes());
SendResult sendResult = producer.send(message);
```
使用kafka-clients发送消息:
```java
Properties properties = new Properties();
properties.load(this.getClass().getClassLoader().getResourceAsStream("kafka.properties"));
Producer<String, String> producer = new KafkaProducer<>(properties);
ProducerRecord<String, String> record = new ProducerRecord<>("topic_test", "Hello, Kafka!");
producer.send(record);
```
使用ons-client接收消息:
```java
Properties properties = new Properties();
properties.load(this.getClass().getClassLoader().getResourceAsStream("ons.properties"));
Consumer consumer = ONSFactory.createConsumer(properties);
consumer.subscribe("topic_test", "*", new MessageListener() {
@Override
public Action consume(Message message, ConsumeContext context) {
System.out.println("Received message: " + new String(message.getBody()));
return Action.CommitMessage;
}
});
consumer.start();
```
使用kafka-clients接收消息:
```java
Properties properties = new Properties();
properties.load(this.getClass().getClassLoader().getResourceAsStream("kafka.properties"));
Consumer<String, String> consumer = new KafkaConsumer<>(properties);
consumer.subscribe(Collections.singletonList("topic_test"));
while (true) {
ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));
for (ConsumerRecord<String, String> record : records) {
System.out.println("Received message: " + record.value());
}
}
```