Springboot集成influxDB实现基本操作

本文提供简单的Springboot集成influxDB，实现基础的增删改查

package com.sinochem.it.influx.config;

import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import org.influxdb.InfluxDB;
import org.influxdb.InfluxDB.ConsistencyLevel;
import org.influxdb.InfluxDBFactory;
import org.influxdb.dto.BatchPoints;
import org.influxdb.dto.Point;
import org.influxdb.dto.Point.Builder;
import org.influxdb.dto.Pong;
import org.influxdb.dto.Query;
import org.influxdb.dto.QueryResult;

public class InfluxDBConnection {

    // 用户名
    private String username;
    // 密码
    private String password;
    // 连接地址
    private String openurl;
    // 数据库
    private String database;
    // 保留策略
    private String retentionPolicy;

    private InfluxDB influxDB;

    public InfluxDBConnection(String username, String password, String openurl, String database,
                              String retentionPolicy) {
        this.username = username;
        this.password = password;
        this.openurl = openurl;
        this.database = database;
        this.retentionPolicy = retentionPolicy == null || retentionPolicy.equals("") ? "autogen" : retentionPolicy;
        influxDbBuild();
    }
    /**
     * 创建数据库
     *
     * @param dbName
     */
    @SuppressWarnings("deprecation")
    public void createDB(String dbName) {
        influxDB.createDatabase(dbName);
    }
    /**
     * 删除数据库
     *
     * @param dbName
     */
    @SuppressWarnings("deprecation")
    public void deleteDB(String dbName) {
        influxDB.deleteDatabase(dbName);
    }
    /**
     * 测试连接是否正常
     *
     * @return true 正常
     */
    public boolean ping() {
        boolean isConnected = false;
        Pong pong;
        try {
            pong = influxDB.ping();
            if (pong != null) {
                isConnected = true;
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
        return isConnected;
    }

    /**
     * 连接时序数据库 ，若不存在则创建
     *
     * @return
     */
    public InfluxDB influxDbBuild() {
        if (influxDB == null) {
            influxDB = InfluxDBFactory.connect(openurl, username, password);
        }
        try {
            // if (!influxDB.databaseExists(database)) {
            // influxDB.createDatabase(database);
            // }
        } catch (Exception e) {
            // 该数据库可能设置动态代理，不支持创建数据库
            // e.printStackTrace();
        } finally {
            influxDB.setRetentionPolicy(retentionPolicy);
        }
        influxDB.setLogLevel(InfluxDB.LogLevel.NONE);
        return influxDB;
    }

    /**
     * 创建自定义保留策略
     *
     * @param policyName
     * 策略名
     * @param duration
     * 保存天数
     * @param replication
     * 保存副本数量
     * @param isDefault
     * 是否设为默认保留策略
     */
    public void createRetentionPolicy(String policyName, String duration, int replication, Boolean isDefault) {
        String sql = String.format("CREATE RETENTION POLICY \"%s\" ON \"%s\" DURATION %s REPLICATION %s ", policyName,
                database, duration, replication);
        if (isDefault) {
            sql = sql + " DEFAULT";
        }
        this.query(sql);
    }
    /**
     * 创建默认的保留策略
     *
     * @param 策略名：default，保存天数：30天，保存副本数量：1
     * 设为默认保留策略
     */
    public void createDefaultRetentionPolicy() {
        String command = String.format("CREATE RETENTION POLICY \"%s\" ON \"%s\" DURATION %s REPLICATION %s DEFAULT",
                "default", database, "30d", 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));
    }

    /**
     * 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,
                       TimeUnit timeUnit) {
        Builder builder = Point.measurement(measurement);
        builder.tag(tags);
        builder.fields(fields);
        if (0 != time) {
            builder.time(time, timeUnit);
        }
        influxDB.write(database, retentionPolicy, builder.build());
    }

    public void insert(String measurement, Map<String, String> tags, Map<String, Object> fields) {
        Builder builder = Point.measurement(measurement);
        builder.tag(tags);
        builder.fields(fields);

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

    /**
     * 批量写入测点
     *
     * @param batchPoints
     */
    public void batchInsert(BatchPoints batchPoints) {
        influxDB.write(batchPoints);
        // influxDB.enableGzip();
        // influxDB.enableBatch(2000,100,TimeUnit.MILLISECONDS);
        // influxDB.disableGzip();
        // influxDB.disableBatch();
    }
    /**
     * 批量写入数据
     *
     * @param database
     * 数据库
     * @param retentionPolicy
     * 保存策略
     * @param consistency
     * 一致性
     * @param records
     * 要保存的数据（调用BatchPoints.lineProtocol()可得到一条record）
     */
    public void batchInsert(final String database, final String retentionPolicy, final ConsistencyLevel consistency,
                            final List<String> records) {
        influxDB.write(database, retentionPolicy, consistency, records);
    }
    /**
     * 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();
    }

    /**
     * 关闭数据库
     */
    public void close() {
        influxDB.close();
    }

    /**
     * 构建Point
     *
     * @param measurement
     * @param time
     * @param fields
     * @return
     */
    public Point pointBuilder(String measurement, long time, Map<String, String> tags, Map<String, Object> fields) {
        Point point = Point.measurement(measurement).time(time, TimeUnit.MILLISECONDS).tag(tags).fields(fields).build();
        return point;
    }


}

测试类

package com.sinochem.it.influx;

import com.sinochem.it.influx.config.InfluxDBConnection;
import org.influxdb.dto.QueryResult;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;

@SpringBootTest
class ZhnyInfluxApplicationTests {

    @Test
    void contextLoads() {
        InfluxDBConnection influxDBConnection = new InfluxDBConnection("root", "SX&Root2021@ZHNY#.M", "http://10.156.130.234:39100", "testDB", "");

        for (int i = 0; i <1000 ; i++) {
            HashMap<String, String> targs = new HashMap<>();
            targs.put("host","serverB");

            HashMap<String, Object> fields = new HashMap<>();
            fields.put("region","us_wwww");
            fields.put("time",System.currentTimeMillis());
            fields.put("value",System.currentTimeMillis());
            fields.put("f1","0.8118");
            fields.put("f2","0.8118");

            influxDBConnection.insert("cpu",targs,fields);
        }




        QueryResult results = influxDBConnection
                .query("SELECT count(1) FROM cpu");
        //results.getResults()是同时查询多条SQL语句的返回值，此处我们只有一条SQL，所以只取第一个结果集即可。
        QueryResult.Result oneResult = results.getResults().get(0);
        if (oneResult.getSeries() != null) {
            List<List<Object>> valueList = oneResult.getSeries().stream().map(QueryResult.Series::getValues)
                    .collect(Collectors.toList()).get(0);
            if (valueList != null && valueList.size() > 0) {
                for (List<Object> value : valueList) {
                    Map<String, String> map = new HashMap<String, String>();
                    // 数据库中字段1取值
                    String field1 = value.get(0) == null ? null : value.get(0).toString();
                    // 数据库中字段2取值
                    String field2 = value.get(1) == null ? null : value.get(1).toString();
                    // TODO 用取出的字段做你自己的业务逻辑……
                }
            }
        }

    }

}