Use InfluxDB client libraries to write data

1. Install Go 1.13 or later.

2. Create a directory for your Go module and change to the directory–for example:

   mkdir iot-starter-go && cd $_
   

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3. Initialize a Go module–for example:

   go mod init iot-starter
   

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1. Install Node.js.

2. Create a directory for your JavaScript project and change to the directory–for example:

   mkdir -p iot-starter-js && cd $_
   

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3. Initialize a project–for example, using npm:

   npm init
   

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1. Install Python

2. Inside of your project directory, create a directory for your Python module and change to the module directory–for example:

   mkdir -p iot-starter-py && cd $_
   

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3. Optional, but recommended: Use venv or conda to activate a virtual environment for installing and executing code–for example, enter the following command using venv to create and activate a virtual environment for the project:

   python3 -m venv envs/iot-starter && source ./envs/iot-starter/bin/activate
   

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Add the InfluxDB 3 C# client library to your project using the dotnet CLI or by adding the package to your project file–for example:

dotnet add package InfluxDB3.Client

Add the InfluxDB 3 Go client library to your project using the go get command–for example:

go mod init path/to/project/dir && cd $_
go get github.com/InfluxCommunity/influxdb3-go/v2/influxdb3

Add the InfluxDB 3 Java client library to your project dependencies using the Maven Gradle build tools.

For example, to add the library to a Maven project, add the following dependency to your pom.xml file:

<dependency>
  <groupId>com.influxdb</groupId>
  <artifactId>influxdb3-java</artifactId>
  <version>1.1.0</version>
</dependency>

To add the library to a Gradle project, add the following dependency to your build.gradle file:

dependencies {
  implementation 'com.influxdb:influxdb3-java:1.1.0'
}

For a Node.js project, use @influxdata/influxdb3-client, which provides main (CommonJS), module (ESM), and browser (UMD) exports. Add the InfluxDB 3 JavaScript client library using your preferred package manager–for example, using npm:

npm install --save @influxdata/influxdb3-client

Install the InfluxDB 3 Python client library using pip. To use Pandas features, such as to_pandas(), provided by the Python client library, you must also install the pandas package.

pip install influxdb3-python pandas

1. Create a file for your module–for example: main.go.

2. In main.go, enter the following sample code:

   package main
   
   import (
    "context"
    "os"
    "fmt"
    "time"
    "github.com/InfluxCommunity/influxdb3-go/v2/influxdb3"
    "github.com/influxdata/line-protocol/v2/lineprotocol"
   )
   
   func Write() error {
     url := os.Getenv("INFLUX_HOST")
     token := os.Getenv("INFLUX_TOKEN")
     database := os.Getenv("INFLUX_DATABASE")
   
     // To instantiate a client, call New() with InfluxDB credentials.
     client, err := influxdb3.New(influxdb3.ClientConfig{
      Host: url,
      Token: token,
      Database: database,
     })
   
     /** Use a deferred function to ensure the client is closed when the
       * function returns.
      **/
     defer func (client *influxdb3.Client)  {
      err = client.Close()
      if err != nil {
        panic(err)
      }
     }(client)
   
     /** Use the NewPoint method to construct a point.
       * NewPoint(measurement, tags map, fields map, time)
      **/
     point := influxdb3.NewPoint("home",
        map[string]string{
          "room": "Living Room",
        },
        map[string]any{
          "temp": 24.5,
          "hum":  40.5,
          "co":   15i},
        time.Now(),
      )
   
     /** Use the NewPointWithMeasurement method to construct a point with
       * method chaining.
      **/
     point2 := influxdb3.NewPointWithMeasurement("home").
      SetTag("room", "Living Room").
      SetField("temp", 23.5).
      SetField("hum", 38.0).
      SetField("co",  16i).
      SetTimestamp(time.Now())
   
     fmt.Println("Writing points")
     points := []*influxdb3.Point{point, point2}
   
     /** Write points to InfluxDB.
       * You can specify WriteOptions, such as Gzip threshold,
       * default tags, and timestamp precision. Default precision is lineprotocol.Nanosecond
      **/
     err = client.WritePoints(context.Background(), points,
       influxdb3.WithPrecision(lineprotocol.Second))
     return nil
   }
   
   func main() {
     Write()
   }
   

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3. To run the module and write the data to your InfluxDB 3 Enterprise database, enter the following command in your terminal:

   go run main.go
   

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1. Create a file for your module–for example: write-points.js.

2. In write-points.js, enter the following sample code:

   // write-points.js
   import { InfluxDBClient, Point } from '@influxdata/influxdb3-client';
   
   /**
    * Set InfluxDB credentials.
    */
   const host = process.env.INFLUX_HOST ?? '';
   const database = process.env.INFLUX_DATABASE;
   const token = process.env.INFLUX_TOKEN;
   
   /**
    * Write line protocol to InfluxDB using the JavaScript client library.
    */
   export async function writePoints() {
     /**
      * Instantiate an InfluxDBClient.
      * Provide the host URL and the database token.
      */
     const client = new InfluxDBClient({ host, token });
   
     /** Use the fluent interface with chained methods to construct Points. */
     const point = Point.measurement('home')
       .setTag('room', 'Living Room')
       .setFloatField('temp', 22.2)
       .setFloatField('hum', 35.5)
       .setIntegerField('co', 7)
       .setTimestamp(new Date().getTime() / 1000);
   
     const point2 = Point.measurement('home')
       .setTag('room', 'Kitchen')
       .setFloatField('temp', 21.0)
       .setFloatField('hum', 35.9)
       .setIntegerField('co', 0)
       .setTimestamp(new Date().getTime() / 1000);
   
     /** Write points to InfluxDB.
      * The write method accepts an array of points, the target database, and
      * an optional configuration object.
      * You can specify WriteOptions, such as Gzip threshold, default tags,
      * and timestamp precision. Default precision is lineprotocol.Nanosecond
      **/
   
     try {
       await client.write([point, point2], database, '', { precision: 's' });
       console.log('Data has been written successfully!');
     } catch (error) {
       console.error(`Error writing data to InfluxDB: ${error.body}`);
     }
   
     client.close();
   }
   
   writePoints();
   

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3. To run the module and write the data to your {{< product-name >}} database, enter the following command in your terminal:

   node writePoints.js
   

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1. Create a file for your module–for example: write-points.py.

2. In write-points.py, enter the following sample code to write data in batching mode:

   import os
   from influxdb_client_3 import (
     InfluxDBClient3, InfluxDBError, Point, WritePrecision,
     WriteOptions, write_client_options)
   
   host = os.getenv('INFLUX_HOST')
   token = os.getenv('INFLUX_TOKEN')
   database = os.getenv('INFLUX_DATABASE')
   
   # Create an array of points with tags and fields.
   points = [Point("home")
               .tag("room", "Kitchen")
               .field("temp", 25.3)
               .field('hum', 20.2)
               .field('co', 9)]
   
   # With batching mode, define callbacks to execute after a successful or
   # failed write request.
   # Callback methods receive the configuration and data sent in the request.
   def success(self, data: str):
       print(f"Successfully wrote batch: data: {data}")
   
   def error(self, data: str, exception: InfluxDBError):
       print(f"Failed writing batch: config: {self}, data: {data} due: {exception}")
   
   def retry(self, data: str, exception: InfluxDBError):
       print(f"Failed retry writing batch: config: {self}, data: {data} retry: {exception}")
   
   # Configure options for batch writing.
   write_options = WriteOptions(batch_size=500,
                                       flush_interval=10_000,
                                       jitter_interval=2_000,
                                       retry_interval=5_000,
                                       max_retries=5,
                                       max_retry_delay=30_000,
                                       exponential_base=2)
   
   # Create an options dict that sets callbacks and WriteOptions.
   wco = write_client_options(success_callback=success,
                             error_callback=error,
                             retry_callback=retry,
                             write_options=write_options)
   
   # Instantiate a synchronous instance of the client with your
   # InfluxDB credentials and write options, such as Gzip threshold, default tags,
   # and timestamp precision. Default precision is nanosecond ('ns').
   with InfluxDBClient3(host=host,
                           token=token,
                           database=database,
                           write_client_options=wco) as client:
   
         client.write(points, write_precision='s')
   

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3. To run the module and write the data to your InfluxDB 3 Enterprise database, enter the following command in your terminal:

   python write-points.py
   

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