jmeter kafka使用者抛出错误为[classcastexception:[ljava.lang.string;无法转换为java.util.list]

jchrr9hc  于 2021-06-06  发布在  Kafka
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我正在尝试使用jsr223采样器在jmeter中使用kafka消费者来读取kafka消息。我无法理解这个错误
[响应消息:javax.script.scriptexception:javax.script.scriptexception:java.lang.classcastexception:[ljava.lang.string;无法转换为java.util.list]
请帮助我解决这个问题,以便我可以订阅和消费使用Kafka消费者的消息。

import java.util.Properties;
import java.util.Arrays;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.ConsumerRecord;

Properties props = new Properties();
String groupID = "REQUEST_RESPONSE_JOB_GROUP";
String clientID =  "REQUEST_RESPONSE_JOB_CLIENT";
String BSID = "kafka:9092";
String topic = "PROC_REST_EVENTS";
props.put("bootstrap.servers", BSID);
props.put("group.id", groupID);
props.put("client.id", clientID);
props.put("enable.auto.commit", "true");
props.put("auto.commit.interval.ms", "1000");
props.put("session.timeout.ms", "30000");
props.put("key.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
props.put("partition.assignment.strategy","org.apache.kafka.clients.consumer.RangeAssignor");

KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(props);
//Kafka Consumer subscribes list of topics here.
consumer.subscribe(Arrays.asList(topic));
//print the topic name
System.out.println("Subscribed to topic " + topic);

while (true) {
    ConsumerRecords<String, String> records = consumer.poll(100);
    for (ConsumerRecord<String, String> record : records)
        // print the offset,key and value for the consumer records.
        System.out.printf("offset = %d, key = %s, value = %s\n", 
    record.offset(), record.key(), record.value());
    return records;
}
z9zf31ra

z9zf31ra1#

很可能您从kafka主题中得到一个列表,而您的使用者需要一个字符串,您需要修改使用者配置以匹配来自该主题的类型。
尝试下面的groovy代码,它向 test 主题(如果它不存在,您将需要创建它)并在此之后阅读它们。

import org.apache.kafka.clients.consumer.ConsumerConfig
import org.apache.kafka.clients.consumer.KafkaConsumer
import org.apache.kafka.clients.producer.KafkaProducer
import org.apache.kafka.clients.producer.ProducerConfig
import org.apache.kafka.clients.producer.ProducerRecord
import org.apache.kafka.common.serialization.LongDeserializer
import org.apache.kafka.common.serialization.LongSerializer
import org.apache.kafka.common.serialization.StringDeserializer
import org.apache.kafka.common.serialization.StringSerializer

def BOOTSTRAP_SERVERS = 'localhost:9092'
def TOPIC = 'test'
Properties kafkaProps = new Properties()
kafkaProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS)
kafkaProps.put(ProducerConfig.CLIENT_ID_CONFIG, 'KafkaExampleProducer')
kafkaProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, LongSerializer.class.getName())
kafkaProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName())
kafkaProps.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS)
kafkaProps.put(ConsumerConfig.GROUP_ID_CONFIG, 'KafkaExampleConsumer')
kafkaProps.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, LongDeserializer.class.getName())
kafkaProps.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName())
def producer = new KafkaProducer<>(kafkaProps)
def consumer = new KafkaConsumer<>(kafkaProps)
1.upto(3) {
    def record = new ProducerRecord<>(TOPIC, it as long, 'Hello from JMeter ' + it)
    producer.send(record)
    log.info('Sent record(key=' + record.key() + 'value=' + record.value() + ')')
}

consumer.subscribe(Collections.singletonList(TOPIC))
final int giveUp = 100
int noRecordsCount = 0
while (true) {
    def consumerRecords = consumer.poll(1000)
    if (consumerRecords.count() == 0) {
        noRecordsCount++
        if (noRecordsCount > giveUp) break
        else continue
    }
    consumerRecords.each { record ->
        log.info('Received Record:(' + record.key() + ', ' + record.value() + ')')
    }
    consumer.commitAsync()

}
consumer.close()

您应该看到如下输出:

一旦完成,您应该能够使用上面的代码作为您自己的Kafka消息消费测试的基础。有关使用jmeter进行kafka负载测试的更多信息,请参阅apachekafka-how to load test with jmeter文章。

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