Maven依赖

<dependencies><!-- Kafka Client --><dependency><groupId>org.apache.kafka</groupId><artifactId>kafka-clients</artifactId><version>3.4.0</version></dependency><!-- InfluxDB Client --><dependency><groupId>com.influxdb</groupId><artifactId>influxdb-client-java</artifactId><version>6.9.0</version></dependency>
</dependencies>

Kafka 消费者 + InfluxDB 插入逻辑

package com.ruoyi.datainterface;import com.influxdb.client.domain.WritePrecision;
import com.influxdb.client.write.Point;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;
import com.influxdb.client.InfluxDBClient;
import com.influxdb.client.InfluxDBClientFactory;
import com.influxdb.client.WriteApi;
import java.time.Duration;
import java.time.Instant;
import java.util.Collections;
import java.util.Properties;
import java.util.concurrent.TimeUnit;public class KafkaToInfluxDB {// InfluxDB 配置private static final String INFLUX_URL = "http://localhost:8086";private static final String TOKEN = "your-influxdb-token";private static final String ORG = "your-org";private static final String BUCKET = "your-bucket";// Kafka 配置private static final String BOOTSTRAP_SERVERS = "localhost:9092";private static final String TOPIC = "your-kafka-topic";private static final String GROUP_ID = "your-consumer-group";public static void main(String[] args) {// 初始化 InfluxDB 客户端InfluxDBClient influxDBClient = InfluxDBClientFactory.create(INFLUX_URL, TOKEN.toCharArray(), ORG, BUCKET);WriteApi writeApi = influxDBClient.getWriteApi();// 初始化 Kafka 消费者Properties props = new Properties();props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);props.put(ConsumerConfig.GROUP_ID_CONFIG, GROUP_ID);props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);consumer.subscribe(Collections.singletonList(TOPIC));try {while (true) {ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(1000));for (ConsumerRecord<String, String> record : records) {// 解析 Kafka 消息并转换为 Point 对象Point point = parseMessageToPoint(record.value());// 使用 WriteApi 写入数据writeApi.writePoint(point);System.out.println("Inserted: " + point.toLineProtocol());}}} catch (Exception e) {e.printStackTrace();} finally {consumer.close();influxDBClient.close();}}/*** 将 Kafka 消息解析为 InfluxDB Point 对象。* 消息格式为：device001|1633990422|23.5|45.1|78.3*/private static Point parseMessageToPoint(String message) {String[] parts = message.split("\\|");if (parts.length < 3) {throw new IllegalArgumentException("Invalid message format: " + message);}String deviceId = parts[0];  // 设备号作为标签String timestamp = parts[1]; // 构建 Point 对象Point point = Point.measurement("device_data").addTag("device_id", deviceId).addTag("timestamp",timestamp);// 动态添加点位字段for (int i = 2; i < parts.length; i++) {point.addField("point" + (i - 1), Double.parseDouble(parts[i]));}return point;}
}