java influx DB工具类

配置

application-properties:

spring.influxdb.url=${influxdb_host:127.0.0.1}
spring.influxdb.port=${influxdb_port:8086}
spring.influxdb.username=${influxdb_username:root}
spring.influxdb.password=${influxdb_password:root}
spring.influxdb.database=${influxdb_database:test}

InfluxDBConfig

import com....utils.InfluxDBConnect;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;


@ConfigurationProperties("application.properties")
@Configuration
public class InfluxDBConfig {

    @Value("${spring.influxdb.username}")
    private String username;
    @Value("${spring.influxdb.password}")
    private String password;
    @Value("${spring.influxdb.url}")
    private String url;
    @Value("${spring.influxdb.port}")
    private String port;
    @Value("${spring.influxdb.database}")
    private String database;

    @Bean
    public InfluxDBConnect getInfluxDBConnect(){
        InfluxDBConnect influxDB = new InfluxDBConnect(username, password, "http://"+url+":"+port, database);

        influxDB.influxDbBuild();

        influxDB.createRetentionPolicy();
        return influxDB;
    }

}

工具类

influxDBConnect类：

import lombok.Data;
import org.influxdb.InfluxDB;
import org.influxdb.InfluxDBFactory;
import org.influxdb.dto.BatchPoints;
import org.influxdb.dto.Point;
import org.influxdb.dto.Query;
import org.influxdb.dto.QueryResult;

import java.util.Map;
import java.util.concurrent.TimeUnit;



@Data
public class InfluxDBConnect {
    private String username;// 用户名
    private String password;// 密码
    private String openurl;// 连接地址
    private String database;// 数据库

    private InfluxDB influxDB;



    public InfluxDBConnect(String username, String password, String openurl, String database) {
        this.username = username;
        this.password = password;
        this.openurl = openurl;
        this.database = database;
    }

    /** 连接时序数据库；获得InfluxDB **/
    public InfluxDB influxDbBuild() {
        if (influxDB == null) {
            influxDB = InfluxDBFactory.connect(openurl, username, password);
            influxDB.createDatabase(database);

        }
        return influxDB;
    }

    /**
     * 设置数据保存策略 defalut 策略名 /database 数据库名/ 30d 数据保存时限30天/ 1 副本个数为1/ 结尾DEFAULT
     * 表示 设为默认的策略
     */
    public void createRetentionPolicy() {
        String command = String.format("CREATE RETENTION POLICY "%s" ON "%s" DURATION %s REPLICATION %s DEFAULT",
                "defalut", database, "7200d", 1);
        this.query(command);
    }

    /**
     * 查询
     *
     * @param command 查询语句
     * @return
     */
    public QueryResult query(String command) {
        return influxDB.query(new Query(command, database));
    }
    public QueryResult query(String command, TimeUnit unit) {
        return influxDB.query(new Query(command, database),unit);
    }

    /**
     * 插入
     * @param measurement 表
     * @param tags 标签
     * @param fields 字段
     */
    public void insert(String measurement, Map<String, String> tags, Map<String, Object> fields, long time) {
        Point.Builder builder = Point.measurement(measurement);
        builder.time(time, TimeUnit.MILLISECONDS);
        builder.tag(tags);
        builder.fields(fields);
        influxDB.write(database, "", builder.build());
    }

    /**
     * 插入
      * @param measurement 表
       * @param tags 标签
       * @param fields 字段
        */
     public void insert(String measurement, Map<String, String> tags, Map<String, Object> fields){
         Point.Builder builder = Point.measurement(measurement);
         builder.tag(tags);
         builder.fields(fields);

         influxDB.write(database, "", builder.build());
     }


    /**
     * 插入
     * @param batchPoints 批量插入
     */
    public void batchInsert(BatchPoints batchPoints){
        influxDB.write(batchPoints);
    }

    /**
     * 删除
     * @param command 删除语句
     * @return 返回错误信息
     */
    public String deleteMeasurementData(String command) {
        QueryResult result = influxDB.query(new Query(command, database));
        return result.getError();
    }

    /**
     * 创建数据库
     * @param dbName
     */
    public void createDB(String dbName) {
        influxDB.createDatabase(dbName);
    }

    /**
     * 删除数据库
     *
     * @param dbName
     */
    public void deleteDB(String dbName) {
        influxDB.deleteDatabase(dbName);
    }

}

 查询返回值包的层数很多，可以预处理

import lombok.extern.slf4j.Slf4j;
import org.influxdb.dto.QueryResult;

import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;



@Slf4j
public class InfluxdbUtil {

    public static List<Object> queryInfluxdb(String query_sql, String table_type, InfluxDBConnect influxDB) {
        long starttime = System.currentTimeMillis();
        QueryResult result = influxDB.query(query_sql.toString(), TimeUnit.MILLISECONDS);
        long endtime = System.currentTimeMillis();

        List<Object> influx_data_list = getInfluxData(result.getResults().get(0), table_type);

        return influx_data_list;

    }
    public static List<Object> getInfluxData(QueryResult.Result result, String table_type) {
        List<Object> influx_data_list = null;
        if (null != result) {
            influx_data_list = new ArrayList<>();

            List<QueryResult.Series> series = result.getSeries();
            if (null != series && series.size() > 0) {
                for (QueryResult.Series serie : series) {
                    List<List<Object>> values = serie.getValues();

                    List<Object> result_list = getInfluxDataAndBuild(values, serie, table_type);

                    influx_data_list.addAll(result_list);
                }
            }
        }

        return influx_data_list;
    }

    public static  List<Object> getInfluxDataAndBuild(List<List<Object>> values, QueryResult.Series
            serie, String table_type) {
        List<Object> influx_data_list = new ArrayList<>();
        List<String> influx_cloumns = serie.getColumns();
        Map<String, String> influx_tags = serie.getTags();

        Map<String, Object> build_maps;

        if (values.size() > 0) {

            for (int i = 0; i < values.size(); i++) {
                build_maps = new LinkedHashMap<>();
                if (null != influx_tags) {

                    for (Map.Entry<String, String> entry : influx_tags.entrySet()) {
                        String entry_key = entry.getKey();
                        if (entry_key.contains("tag_")) {
                            entry_key = entry_key.substring(4);
                        }
                        build_maps.put(entry_key, entry.getValue());
                    }
                }
                Object[] influx_Obj = values.get(i).toArray();

                for (int j = 0; j < influx_Obj.length; j++) {
                    String build_maps_key = influx_cloumns.get(j);
                    if (build_maps_key.equals("time")) {
                        if (table_type.equals("normal")) {
                            BigDecimal bd = new BigDecimal(String.valueOf(influx_Obj[j]));
                            build_maps.put("timestamp",  bd.toPlainString());
                        } else if (table_type.equals("polymerize")) {
                            //  build_maps.put("timestamp", DateUtil.dateToStampAndAddMinute(String.valueOf(influx_Obj[j])));
                        }
                    } else {
                        if (build_maps_key.contains("tag_")) {
                            build_maps_key = build_maps_key.substring(4);
                        }

                        build_maps.put(build_maps_key, influx_Obj[j]);
                    }
                }

                influx_data_list.add(build_maps);
            }
        }
        return influx_data_list;
    }
}