vm时序数据库入门(一)

docker run -it --name vm -v /Users/xxx/data/vm:/victoria-metrics-data -p 8428:8428 victoriametrics/victoria-metrics

启动后，查看运行参数

http://localhost:8428/metrics

http://localhost:8428/debug/pprof/

	
			com.influxdb
			influxdb-client-java
			2.0.0
	

package example;

import com.influxdb.client.InfluxDBClient;
import com.influxdb.client.InfluxDBClientFactory;
import com.influxdb.client.WriteApi;
import com.influxdb.client.domain.WritePrecision;
import com.influxdb.client.write.Point;

import java.time.Instant;


public class Write2VM {

    public static void main(String[] args) {
        String bucket = "flink";
        String org = "galaxy";
        InfluxDBClient client = InfluxDBClientFactory.create("http://localhost:8428");
        Point point = Point
                .measurement("mem")
                .addTag("vm", "pointWay")
                .addField("used_percent", 66)
                .time(Instant.now(), WritePrecision.NS);

        try (WriteApi writeApi = client.getWriteApi()) {
            writeApi.writePoint(bucket, org, point);
        }
    }
}

在grafana中查看数据点

命令行查询 

curl -G 'http://localhost:8428/api/v1/export' -d 'match={__name__=~"mem_used_percent.*"}'

结果：

{"metric":{"__name__":"mem_used_percent","vm":"pointWay"},"values":[66,88],"timestamps":[1634307675617,1634308728583]}

命令行curl写入数据到vm

curl -d 'measurement,tag1=value1,tag2=value2 field1=666,field2=1.23' -X POST 'http://localhost:8428/write'