1

zhang

8 天以前 3cf258f4eff5e5c197a3026398281b2e63ccb002

 component/component-Influxdb/src/main/java/com/zy/influxdb/service/InfluxDBService.java

@@ -1,7 +1,15 @@
package com.zy.influxdb.service;

import com.influxdb.annotations.Column;
import com.influxdb.annotations.Measurement;
import com.influxdb.client.InfluxDBClient;
import com.influxdb.client.WriteApiBlocking;
import com.influxdb.client.domain.WritePrecision;
import com.influxdb.client.write.Point;
import com.influxdb.query.FluxTable;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.time.Instant;
@@ -17,12 +25,11 @@

    private static final Logger logger = LoggerFactory.getLogger(InfluxDBService.class);

    private final InfluxDBClient influxDBClient;
    @Autowired
    private InfluxDBClient influxDBClient;

    // 构造函数注入客户端
    public InfluxDBService(InfluxDBClient  influxDBClient  ) {
        this.influxDBClient =  influxDBClient  ;
    }



    /**
@@ -32,12 +39,13 @@
     * @param fields 字段
     */
    public void writeData(String measurement, Map<String,String> tags,Map<String,Object> fields) {
        WriteApiBlocking writeApiBlocking = influxDBClient.getWriteApiBlocking();
        Point point = Point.measurement(measurement)
                .setTags(tags)
                .setFields(fields)
                .setTimestamp(Instant.now().minusSeconds(10));
                .addTags(tags)
                .addFields(fields)
                .time(Instant.now().toEpochMilli(), WritePrecision.MS);
        try {
            influxDBClient.writePoint(point);
            writeApiBlocking.writePoint(point);
            System.out.println("Data written to the database.");
        }
        catch (Exception e) {
@@ -50,21 +58,10 @@
     * @param sql sql语句
     * @return 查询结果列表
     */
    public List<Map<String, Object>> queryData(String sql) {

    public  List<FluxTable> queryData(String sql) {
        try {
            // 执行查询
            Stream<Object[]> query = influxDBClient.query(sql);
            // 转换为 Map 列表（便于后续处理）
            List<Map<String, Object>> collect = query.map(record -> {
                        Map<String, Object> map = new LinkedHashMap<>();
                        for (int i = 0; i < record.length; i += 2) {
                            map.put((String) record[i], record[i + 1]);
                        }
                        return map;
                    })
                    .collect(Collectors.toList());
            return collect;
            return influxDBClient.getQueryApi().query(sql);
        } catch (Exception e) {
            System.err.println("Failed to query data from the database.");
            e.printStackTrace();
@@ -72,4 +69,37 @@
        return null;
    }


    /**
     * 查询数据
     * @param sql sql语句
     * @return 查询结果列表
     */
    public  <T>  List<T> queryData(String sql,T t) {
        try {
            // 执行查询
            List<T> temperatures = influxDBClient.getQueryApi().q(sql, t.getClass());


        } catch (Exception e) {
            System.err.println("Failed to query data from the database.");
            e.printStackTrace();
        }
        return null;
    }

    //POJO类定义如下：
    @Measurement(name = "temperature")//表名
    public static class Temperature {

        @Column(tag = true)//tag
        String location;

        @Column//field
        Double value;

        @Column(timestamp = true)//timestamp
        Instant time;

    }
}