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Submitted URL: https://www.influxdata.com/
Effective URL: https://www.influxdata.com/
Submission: On September 17 via api from US — Scanned from DE

Form analysis 4 forms found in the DOM

GET https://www.influxdata.com/search/r/

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CODE IN THE LANGUAGES YOU LOVE

Tap into our custom client libraries, powerful APIs and tools

Read
Write

JavaScript Python Go PHP C#

const {InfluxDB, flux} = require('@influxdata/influxdb-client')

// const url = "https://us-west-2-1.aws.cloud2.influxdata.com";
const url = "http://localhost:9999";
const token = 'my-token'
const org = 'my-org'
const bucket = 'my-bucket'

const client = new InfluxDB({url: url, token: token})
const queryApi = client.getQueryApi(org)

const query = flux`from(bucket: "${bucket}") 
  |> range(start: -1d)
  |> filter(fn: (r) => r._measurement == "weatherstation")`
queryApi.queryRows(query, {
    next(row, tableMeta) {
        const o = tableMeta.toObject(row)
        console.log(`${o._time} ${o._measurement}: ${o._field}=${o._value}`)
    },
    error(error) {
        console.error(error)
        console.log('Finished ERROR')
    },
    complete() {
        console.log('Finished SUCCESS')
    },
})

Copy

c

const { InfluxDB, Point } = require("@influxdata/influxdb-client");

// const url = "https://us-west-2-1.aws.cloud2.influxdata.com";
const url = "http://localhost:9999";
const token = "my-token";
const org = "my-org";
const bucket = "my-bucket";

const client = new InfluxDB({ url: url, token: token });
const writeApi = client.getWriteApi(org, bucket);
const point = new Point("weatherstation")
  .tag("location", "San Francisco")
  .floatField("temperature", 23.4)
  .timestamp(new Date());

writeApi.writePoint(point);

writeApi
  .close()
  .then(() => {
    console.log("FINISHED");
  })
  .catch((e) => {
    console.error(e);
    console.log("Finished ERROR");
  });

Copy

c

from influxdb_client import InfluxDBClient

url = 'https://us-west-2-1.aws.cloud2.influxdata.com'
token = 'my-token'
org = 'my-org'
bucket = 'my-bucket'

with InfluxDBClient(url=url, token=token, org=org) as client:
    query_api = client.query_api()

    tables = query_api.query('from(bucket: "my-bucket") |> range(start: -1d)')

    for table in tables:
        for record in table.records:
            print(str(record["_time"]) + " - " + record.get_measurement()
                  + " " + record.get_field() + "=" + str(record.get_value()))

Copy

c

from datetime import datetime

from influxdb_client import WritePrecision, InfluxDBClient, Point
from influxdb_client.client.write_api import SYNCHRONOUS

url = 'https://us-west-2-1.aws.cloud2.influxdata.com'
token = 'my-token'
org = 'my-org'
bucket = 'my-bucket'

with InfluxDBClient(url=url, token=token, org=org) as client:
    p = Point("weatherstation") \
        .tag("location", "San Francisco") \
        .field("temperature", 25.9) \
        .time(datetime.utcnow(), WritePrecision.MS)

    with client.write_api(write_options=SYNCHRONOUS) as write_api:
        write_api.write(bucket=bucket, record=p)

Copy

c

package main

import (
	"context"
	"fmt"

	influxdb2 "github.com/influxdata/influxdb-client-go/v2"
)

func main() {
	url := "https://us-west-2-1.aws.cloud2.influxdata.com"
	token := "my-token"
	org := "my-org"
	bucket := "my-bucket"

	client := influxdb2.NewClient(url, token)
	queryAPI := client.QueryAPI(org)
	query := fmt.Sprintf(`from(bucket: "%v") |> range(start: -1d)`, bucket)
	result, err := queryAPI.Query(context.Background(), query)
	if err != nil {
		panic(err)
	}
	for result.Next() {
		record := result.Record()
		fmt.Printf("%v %v: %v=%v\n", record.Time(), record.Measurement(), record.Field(), record.Value())
	}
	client.Close()
}

Copy

c

package main

import (
	"context"
	"time"

	influxdb2 "github.com/influxdata/influxdb-client-go/v2"
)

func main() {
	url := "https://us-west-2-1.aws.cloud2.influxdata.com"
	token := "my-token"
	org := "my-org"
	bucket := "my-bucket"

	client := influxdb2.NewClient(url, token)
	writeAPI := client.WriteAPIBlocking(org, bucket)
	p := influxdb2.NewPointWithMeasurement("weatherstation").
		AddTag("location", "San Francisco").
		AddField("temperature", 25.7).
		SetTime(time.Now())

	err := writeAPI.WritePoint(context.Background(), p)
	if err != nil {
		panic(err)
	}
	client.Close()
}

Copy

c

<?php

require __DIR__ . '/vendor/autoload.php';

use InfluxDB2\Client;
use InfluxDB2\Model\WritePrecision;

$url =  "https://us-west-2-1.aws.cloud2.influxdata.com";
$token = "my-token";
$org = "my-org";
$bucket = "my-bucket";

$client = new Client(["url" => $url, "token" => $token, "org" => $org, "precision" => WritePrecision::S]);

$queryApi = $client->createQueryApi();
$query = "from(bucket: \"$bucket\") |> range(start: -1d)";
$result = $queryApi->query($query);

foreach ($result as $table) {
    foreach ($table->records as $record) {
        $measurement = $record->getMeasurement();
        $field = $record->getField();
        $time = $record->getTime();
        $value = $record->getValue();
        print "$time $measurement: $field=$value\n";
    }
}

$client->close();

Copy

c

<?php

require __DIR__ . '/vendor/autoload.php';

use InfluxDB2\Client;
use InfluxDB2\Model\WritePrecision;
use InfluxDB2\Point;

$url = "https://us-west-2-1.aws.cloud2.influxdata.com";
$token = "my-token";
$org = "my-org";
$bucket = "my-bucket";

$client = new Client(["url" => $url, "token" => $token, "org" => $org,
    "bucket" => $bucket, "precision" => WritePrecision::S]);

$writeApi = $client->createWriteApi();

$point = Point::measurement("weatherstation")
    ->addTag("location", "San Francisco")
    ->addField("temperature", 25.1)
    ->time(time(), WritePrecision::S);

$writeApi->write($point);
$client->close();

Copy

c

using System;
using System.Threading.Tasks;
using InfluxDB.Client;

namespace Examples
{
    public class QueryExample
    {
        public static async Task Main(string[] args)
        {
            var url = "https://us-west-2-1.aws.cloud2.influxdata.com";
            var token = "my-token";
            var org = "my-org";
            var bucket = "my-bucket";

            using var client = InfluxDBClientFactory.Create(url, token);

            var queryApi = client.GetQueryApi();
            var query = $"from(bucket:\"{bucket}\") |> range(start: -1d)";
            var tables = await queryApi.QueryAsync(query, org);
            tables.ForEach(table =>
            {
                table.Records.ForEach(record =>
                {
                    Console.WriteLine(
                        $"{record.GetTime()} {record.GetMeasurement()}: {record.GetField()}={record.GetValue()}");
                });
            });
        }
    }
}

Copy

c

using System;
using System.Threading.Tasks;
using InfluxDB.Client;
using InfluxDB.Client.Api.Domain;
using InfluxDB.Client.Writes;

namespace Examples
{
    public class WriteExample
    {
        public static async Task Main(string[] args)
        {
            var url = "https://us-west-2-1.aws.cloud2.influxdata.com";
            var token = "my-token";
            var org = "my-org";
            var bucket = "bucket";

            using var client = InfluxDBClientFactory.Create(url, token);
            var writeApi = client.GetWriteApiAsync();

            var point = PointData.Measurement("weatherstation")
                .Tag("location", "San Francisco")
                .Field("temperature", 25.5)
                .Timestamp(DateTime.UtcNow, WritePrecision.Ns);

             await writeApi.WritePointAsync(point, bucket, org);
        }
    }
}

Copy

c




 * 1
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TRUSTED BY DEVELOPERS,
FROM STARTUPS TO ENTERPRISES



“InfluxDB has a very awesome stack, which gave us everything we needed when
constructing the system.”
Read success story
Allison Wang
Software Engineer, Robinhood
“InfluxDB is a high-speed read and write database. So think of it. The data is
being written in real time, you can read in real time, and when you’re reading
it, you can apply your machine learning model. So, in real time, you can
forecast, and you can detect anomalies.”
Read success story
Rajeev Tomer
Sr. Manager of Data Engineering, Capital One
“We didn’t have a great way to figure out and quickly diagnose what endpoint was
driving that problem… That’s how we started thinking about monitoring APIs. And
that’s what led us down this journey with InfluxData.”
Read success story
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MuleSoft Anypoint Monitoring
“As Wayfair has grown and matured its software development and data center
operations over the past decade, and particularly over the last five years, we
have embraced the principle of providing maximum visibility into our processes
and systems.”
Read success story
Jim Hagan
Manager, Wayfair
“InfluxDB has become our go-to database choice. Often if we are using a
different tool, we figure out how to get data out of the tool into InfluxDB.
It’s easier to use, performs better, and is cheaper.”
Read success story
Jack Tench
Senior Software Engineer, Vonage
“InfluxDB is the most powerful technology to fit the moment. We can store a lot
of metrics and manipulate them in real time.”
Read success story
Hans Gustavson
Senior Director, Site Reliability Engineering, Coupa Software



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