Kafka监听器无法消费消息并持久化到HBase表。

要解决"Kafka监听器无法消费消息并持久化到HBase表"的问题，您可以使用Kafka和HBase的Java客户端库来编写代码。以下是一个示例代码，用于创建一个Kafka监听器并将消息持久化到HBase表中：

首先，您需要引入Kafka和HBase的依赖库。在Maven项目中，您可以在pom.xml文件中添加以下依赖项：

<dependencies>
    <dependency>
        <groupId>org.apache.kafka</groupId>
        <artifactId>kafka-clients</artifactId>
        <version>2.8.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-common</artifactId>
        <version>3.3.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hbase</groupId>
        <artifactId>hbase-client</artifactId>
        <version>2.4.5</version>
    </dependency>
</dependencies>

接下来，您可以使用以下代码创建一个Kafka监听器并将消息持久化到HBase表中：

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Collections;
import java.util.Properties;

public class KafkaHBaseListener {
    private static final String TOPIC = "your-kafka-topic";
    private static final String BOOTSTRAP_SERVERS = "your-kafka-bootstrap-servers";
    private static final String ZOOKEEPER_QUORUM = "your-hbase-zookeeper-quorum";
    private static final String HBASE_TABLE = "your-hbase-table";

    public static void main(String[] args) {
        // 创建Kafka消费者配置
        Properties props = new Properties();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "test-consumer-group");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());

        // 创建HBase配置
        Configuration hbaseConfig = HBaseConfiguration.create();
        hbaseConfig.set("hbase.zookeeper.quorum", ZOOKEEPER_QUORUM);

        // 创建Kafka消费者和HBase连接
        try (Consumer<String, String> consumer = new KafkaConsumer<>(props);
             Connection connection = ConnectionFactory.createConnection(hbaseConfig)) {
            // 订阅Kafka主题
            consumer.subscribe(Collections.singletonList(TOPIC));

            // 持续消费和处理消息
            while (true) {
                ConsumerRecords<String, String> records = consumer.poll(100);
                for (ConsumerRecord<String, String> record : records) {
                    // 将消息持久化到HBase表
                    persistToHBase(connection, record.key(), record.value());
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    private static void persistToHBase(Connection connection, String key, String value) throws Exception {
        TableName tableName = TableName.valueOf(HBASE_TABLE);
        Put put = new Put(Bytes.toBytes(key));
        put.addColumn(Bytes.toBytes("cf"), Bytes.toBytes("data"), Bytes.toBytes(value));

        // 通过HBase连接将数据写入表
        connection.getTable(tableName).put(put);
    }
}

请确保将代码中的"your-kafka-topic"，"your-kafka-bootstrap-servers"，"your-hbase-zookeeper-quorum"和"your-hbase-table"替换为实际的Kafka主题，Kafka引导服务器，HBase ZooKeeper地址和HBase表名称。

这个示例代码创建了一个Kafka消费者，订阅指定的Kafka主题。当消费者接收到消息时，它会调用"persistToHBase"方法将消息持久化到HBase表中。"persistToHBase"方法使用