Documentation

Get started writing data

This tutorial walks you through the fundamental of creating line protocol data and writing it to InfluxDB.

InfluxDB provides many different options for ingesting or writing data, including the following:

  • InfluxDB HTTP API (v1 and v2)
  • Telegraf
  • influxctl CLI
  • influx3 data CLI
  • InfluxDB client libraries

If using tools like Telegraf or InfluxDB client libraries, they can build the line protocol for you, but it’s good to understand how line protocol works.

Line protocol

All data written to InfluxDB is written using line protocol, a text-based format that lets you provide the necessary information to write a data point to InfluxDB. This tutorial covers the basics of line protocol, but for detailed information, see the Line protocol reference.

Line protocol elements

Each line of line protocol contains the following elements:

* Required
  • * measurement: A string that identifies the table to store the data in.
  • tag set: Comma-delimited list of key value pairs, each representing a tag. Tag keys and values are unquoted strings. Spaces, commas, and equal characters must be escaped.
  • * field set: Comma-delimited list of key value pairs, each representing a field. Field keys are unquoted strings. Spaces and commas must be escaped. Field values can be strings (quoted), floats, integers, unsigned integers, or booleans.
  • timestamp: Unix timestamp associated with the data. InfluxDB supports up to nanosecond precision. If the precision of the timestamp is not in nanoseconds, you must specify the precision when writing the data to InfluxDB.

Line protocol element parsing

  • measurement: Everything before the first unescaped comma before the first whitespace.
  • tag set: Key-value pairs between the first unescaped comma and the first unescaped whitespace.
  • field set: Key-value pairs between the first and second unescaped whitespaces.
  • timestamp: Integer value after the second unescaped whitespace.
  • Lines are separated by the newline character (\n). Line protocol is whitespace sensitive.

measurement,tag1=val1,tag2=val2 field1="v1",field2=1i 0000000000000000000


For schema design recommendations, see InfluxDB schema design.

Construct line protocol

With a basic understanding of line protocol, you can now construct line protocol and write data to InfluxDB. Consider a use case where you collect data from sensors in your home. Each sensor collects temperature, humidity, and carbon monoxide readings. To collect this data, use the following schema:

  • measurement: home
    • tags
      • room: Living Room or Kitchen
    • fields
      • temp: temperature in °C (float)
      • hum: percent humidity (float)
      • co: carbon monoxide in parts per million (integer)
    • timestamp: Unix timestamp in second precision

The following line protocol sample represents data collected hourly beginning at 2022-01-01T08:00:00Z (UTC) until 2022-01-01T20:00:00Z (UTC).

Home sensor data line protocol
home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641024000
home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000
home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641027600
home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600
home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641031200
home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200
home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641034800
home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800
home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641038400
home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400
home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641042000
home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000
home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641045600
home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600
home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641049200
home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200
home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641052800
home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800
home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641056400
home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400
home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641060000
home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000
home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641063600
home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600
home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641067200
home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200

Write line protocol to InfluxDB

The following examples show how to write the preceding sample data, already in line protocol format, to an InfluxDB Clustered database.

To learn more about available tools and options, see Write data.

Some examples in this getting started tutorial assume your InfluxDB credentials (URL, organization, and token) are provided by environment variables.

Use the influxctl write command to write the home sensor sample data to your InfluxDB cluster. Provide the following:

influxctl write \
  --database 
get-started
\
--token $INFLUX_TOKEN \ --precision s \ 'home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641024000 home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000 home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641027600 home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600 home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641031200 home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200 home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641034800 home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800 home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641038400 home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400 home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641042000 home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000 home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641045600 home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600 home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641049200 home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200 home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641052800 home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800 home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641056400 home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400 home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641060000 home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000 home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641063600 home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600 home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641067200 home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200'

If successful, the output is the success message; otherwise, error details and the failure message.

Use Telegraf to consume line protocol, and then write it to InfluxDB Clustered.

  1. If you haven’t already, follow the instructions to download and install Telegraf.

  2. Copy and save the home sensor data sample to a file on your local system–for example, home.lp.

    cat <<- EOF > home.lp
    home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641024000
    home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000
    home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641027600
    home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600
    home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641031200
    home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200
    home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641034800
    home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800
    home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641038400
    home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400
    home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641042000
    home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000
    home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641045600
    home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600
    home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641049200
    home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200
    home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641052800
    home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800
    home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641056400
    home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400
    home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641060000
    home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000
    home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641063600
    home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600
    home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641067200
    home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200
    EOF
    
  3. Run the following command to generate a Telegraf configuration file (telegraf.conf) that enables the inputs.file and outputs.influxdb_v2 plugins:

    mkdir -p iot-project \
    && telegraf --sample-config \
      --input-filter file \
      --output-filter influxdb_v2 \
      > iot-project/telegraf.conf
    
  4. In your editor, open iot-project/telegraf.conf and configure the following:

    • file input plugin: In the [[inputs.file]].files list, replace "/tmp/metrics.out" with your sample data filename. If Telegraf can’t find a file when started, it stops processing and exits.

      [[inputs.file]]
        ## Files to parse each interval.  Accept standard unix glob matching rules,
        ## as well as ** to match recursive files and directories.
        files = ["home.lp"]
        # Set the timestamp precision to the precision in your data.
        influx_timestamp_precision = '1s'
        ## Optionally, use the newer, more efficient line protocol parser
        influx_parser_type = 'upstream' 
      

Write data with your existing workloads that already use the InfluxDB v1 /write API endpoint.

If migrating data from InfluxDB 1.x, see the Migrate data from InfluxDB 1.x to InfluxDB InfluxDB Clustered guide.

To write data to InfluxDB using the InfluxDB v1 HTTP API, send a request to the InfluxDB API /write endpoint using the POST request method.

POST https://cluster-host.com/write

Include the following with your request:

  • Headers:
    • Authorization: Bearer <INFLUX_TOKEN>
    • Content-Type: text/plain; charset=utf-8
    • Accept: application/json
  • Query parameters:
  • Request body: Line protocol as plain text

With the InfluxDB Clustered v1 API /write endpoint, Authorization: Bearer and Authorization: Token are equivalent and you can use either scheme to pass a database token in your request. For more information about HTTP API token schemes, see how to authenticate API requests.

The following example uses cURL and the InfluxDB v1 API to write line protocol to InfluxDB:

response=$(curl --silent --write-out "%{response_code}:-%{errormsg}" \
  "https://cluster-host.com/write?db=get-started&precision=s" \
  --header "Authorization: Bearer 
DATABASE_TOKEN
"
\
--header "Content-type: text/plain; charset=utf-8" \ --header "Accept: application/json" \ --data-binary " home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641024000 home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000 home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641027600 home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600 home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641031200 home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200 home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641034800 home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800 home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641038400 home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400 home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641042000 home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000 home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641045600 home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600 home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641049200 home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200 home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641052800 home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800 home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641056400 home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400 home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641060000 home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000 home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641063600 home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600 home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641067200 home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200 ") # Format the response code and error message output. response_code=${response%%:-*} errormsg=${response#*:-} # Remove leading and trailing whitespace from errormsg errormsg=$(echo "${errormsg}" | tr -d '[:space:]') echo "$response_code" if [[ $errormsg ]]; then echo "$errormsg" fi

Replace the following:

  • DATABASE_TOKEN: a database token with sufficient permissions to the specified database

If successful, the output is an HTTP 204 No Content status code; otherwise, the error status code and failure message.

204

To write data to InfluxDB using the InfluxDB v2 HTTP API, send a request to the InfluxDB API /api/v2/write endpoint using the POST request method.

POST https://cluster-host.com/api/v2/write

Include the following with your request:

  • Headers:
    • Authorization: Bearer <INFLUX_TOKEN>
    • Content-Type: text/plain; charset=utf-8
    • Accept: application/json
  • Query parameters:
  • Request body: Line protocol as plain text

The InfluxDB Clustered v2 API /api/v2/write endpoint supports Bearer and Token authorization schemes and you can use either scheme to pass a database token in your request. For more information about HTTP API token schemes, see how to authenticate API requests.

The following example uses cURL and the InfluxDB v2 API to write line protocol to InfluxDB:

response=$(curl --silent --write-out "%{response_code}:-%{errormsg}" \
  "https://cluster-host.com/api/v2/write?bucket=get-started&precision=s" \
  --header "Authorization: Bearer 
DATABASE_TOKEN
"
\
--header "Content-Type: text/plain; charset=utf-8" \ --header "Accept: application/json" \ --data-binary " home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641024000 home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000 home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641027600 home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600 home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641031200 home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200 home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641034800 home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800 home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641038400 home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400 home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641042000 home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000 home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641045600 home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600 home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641049200 home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200 home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641052800 home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800 home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641056400 home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400 home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641060000 home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000 home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641063600 home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600 home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641067200 home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200 ") # Format the response code and error message output. response_code=${response%%:-*} errormsg=${response#*:-} # Remove leading and trailing whitespace from errormsg errormsg=$(echo "${errormsg}" | tr -d '[:space:]') echo "$response_code" if [[ $errormsg ]]; then echo "$errormsg" fi

Replace the following:

  • DATABASE_TOKEN: a database token with sufficient permissions to the specified database

If successful, the output is an HTTP 204 No Content status code; otherwise, the error status code and failure message.

204

To write data to InfluxDB Clustered using Python, use the influxdb_client_3 module. The following steps include setting up a Python virtual environment to scope dependencies to your current project.

  1. Create a module directory and navigate into it–for example:

    mkdir -p influxdb_py_client && cd influxdb_py_client
    
  2. Setup your Python virtual environment. Inside of your module directory, enter the following command:

    python -m venv envs/virtual-env
    
  3. Activate the virtual environment.

    source ./envs/virtual-env/bin/activate
    
  4. Install the client library package:

    pip install influxdb3-python
    

    The influxdb3-python package provides the influxdb_client_3 module and also installs the pyarrow package for working with Arrow data returned from queries.

  5. In your terminal or editor, create a new file for your code–for example: write.py.

    touch write.py
    
  6. Inside of write.py, enter the following sample code:

    from influxdb_client_3 import InfluxDBClient3
    import os
    
    # INFLUX_TOKEN is an environment variable you assigned to your
    # database WRITE token value.
    token = os.getenv('INFLUX_TOKEN')
    
    # host is the URL hostname without protocol or trailing slash
    client = InfluxDBClient3(
        host='cluster-host.com',
        org='',
        token=token,
        database='get-started'
    )
    
    lines = [
        "home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641024000",
        "home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000",
        "home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641027600",
        "home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600",
        "home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641031200",
        "home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200",
        "home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641034800",
        "home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800",
        "home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641038400",
        "home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400",
        "home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641042000",
        "home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000",
        "home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641045600",
        "home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600",
        "home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641049200",
        "home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200",
        "home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641052800",
        "home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800",
        "home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641056400",
        "home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400",
        "home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641060000",
        "home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000",
        "home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641063600",
        "home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600",
        "home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641067200",
        "home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200"
    ]
    
    client.write(lines,write_precision='s')
    

    The sample does the following:

    1. Imports the InfluxDBClient3 object from the influxdb_client_3 module.

    2. Calls the InfluxDBClient3() constructor to instantiate an InfluxDB client configured with the following credentials:

      • host: InfluxDB cluster hostname (URL without protocol or trailing slash)
      • org: an empty or arbitrary string (InfluxDB ignores this parameter)
      • token: a database token with write access to the specified database. Store this in a secret store or environment variable to avoid exposing the raw token string.
      • database: the name of the InfluxDB Clustered database to write to
    3. Defines a list of line protocol strings where each string represents a data record.

    4. Calls the client.write() method with the line protocol record list and write options.

      Because the timestamps in the sample line protocol are in second precision, the example passes the write_precision='s' option to set the timestamp precision to seconds.

  7. To execute the module and write line protocol to your InfluxDB Clustered database, enter the following command in your terminal:

    python write.py
    

If successful, the output is the success message; otherwise, error details and the failure message.

To write data to InfluxDB Clustered using Go, use the InfluxDB v3 influxdb3-go client library package.

  1. Inside of your project directory, create a new module directory and navigate into it.

    mkdir -p influxdb_go_client && cd influxdb_go_client
    
  2. Initialize a new Go module in the directory.

    go mod init influxdb_go_client
    
  3. In your terminal or editor, create a new file for your code–for example: write.go.

    touch write.go
    
  4. Inside of write.go, enter the following sample code:

    package main
    
    import (
      "context"
      "os"
      "fmt"
      "log"
    
      "github.com/InfluxCommunity/influxdb3-go/influxdb3/v1"
    )
    
    // Write line protocol data to InfluxDB
    func WriteLineProtocol() error {
      // INFLUX_TOKEN is an environment variable you assigned to your
      // database WRITE token value.
      token := os.Getenv("INFLUX_TOKEN")
      database := os.Getenv("INFLUX_DATABASE")
    
      // Initialize a client with URL and token,
      // and set the timestamp precision for writes.
      client, err := influxdb3.New(influxdb3.ClientConfig{
        Host:     "https://cluster-host.com",
        Token:    token,
        Database: database,
        WriteOptions: &influxdb3.WriteOptions{Precision: lineprotocol.Second},
      })
    
      // Close the client when the function returns.
      defer func(client *influxdb3.Client) {
        err := client.Close()
        if err != nil {
          panic(err)
        }
      }(client)
    
      // Define line protocol records to write.
      // Use a raw string literal (denoted by backticks)
      // to preserve backslashes and prevent interpretation
      // of escape sequences--for example, escaped spaces in tag values.
      lines := [...]string{
        `home,room=Living\ Room temp=21.1,hum=35.9,co=0i 1641124000`,
        `home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641124000`,
        `home,room=Living\ Room temp=21.4,hum=35.9,co=0i 1641127600`,
        `home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641127600`,
        `home,room=Living\ Room temp=21.8,hum=36.0,co=0i 1641131200`,
        `home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641131200`,
        `home,room=Living\ Room temp=22.2,hum=36.0,co=0i 1641134800`,
        `home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641134800`,
        `home,room=Living\ Room temp=22.2,hum=35.9,co=0i 1641138400`,
        `home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641138400`,
        `home,room=Living\ Room temp=22.4,hum=36.0,co=0i 1641142000`,
        `home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641142000`,
        `home,room=Living\ Room temp=22.3,hum=36.1,co=0i 1641145600`,
        `home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641145600`,
        `home,room=Living\ Room temp=22.3,hum=36.1,co=1i 1641149200`,
        `home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641149200`,
        `home,room=Living\ Room temp=22.4,hum=36.0,co=4i 1641152800`,
        `home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641152800`,
        `home,room=Living\ Room temp=22.6,hum=35.9,co=5i 1641156400`,
        `home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641156400`,
        `home,room=Living\ Room temp=22.8,hum=36.2,co=9i 1641160000`,
        `home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641160000`,
        `home,room=Living\ Room temp=22.5,hum=36.3,co=14i 1641163600`,
        `home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641163600`,
        `home,room=Living\ Room temp=22.2,hum=36.4,co=17i 1641167200`,
        `home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641167200`,
      }
    
      // Iterate over the lines array and write each line
      // separately to InfluxDB
      for _, record := range lines {
        err = client.Write(context.Background(), []byte(record))
        if err != nil {
          log.Fatalf("Error writing line protocol: %v", err)
        }
      }
    
      if err != nil {
        panic(err)
      }
    
      fmt.Println("Data has been written successfully.")
      return nil
    }
    

    The sample does the following:

    1. Imports required packages.

    2. Defines a WriteLineProtocol() function that does the following:

      1. To instantiate the client, calls the influxdb3.New(influxdb3.ClientConfig) function and passes the following:

        • Host: the InfluxDB cluster URL

        • Database: The name of your InfluxDB Clustered database

        • Token: a database token with write access to the specified database. Store this in a secret store or environment variable to avoid exposing the raw token string.

        • WriteOptions: influxdb3.WriteOptions options for writing to InfluxDB.

          Because the timestamps in the sample line protocol are in second precision, the example passes the Precision: lineprotocol.Second option to set the timestamp precision to seconds.

      2. Defines a deferred function that closes the client when the function returns.

      3. Defines an array of line protocol strings where each string represents a data record.

      4. Iterates through the array of line protocol and calls the write client’s Write() method to write each line of line protocol separately to InfluxDB.

  5. In your editor, create a main.go file and enter the following sample code that calls the WriteLineProtocol() function:

    package main
    
    // Module main function
    func main() {
      WriteLineProtocol()
    }
    
  6. To install dependencies and write the data to your InfluxDB Clustered database, enter the following command into your terminal:

    go mod tidy && go run influxdb_go_client
    

If successful, the output is the success message; otherwise, error details and the failure message.

  1. If you haven’t already, follow the instructions for Downloading and installing Node.js and npm for your system.

  2. In your terminal, enter the following command to create a influxdb_js_client directory for your project:

    mkdir influxdb_js_client && cd influxdb_js_client
    
  3. Inside of influxdb_js_client, enter the following command to initialize a package. This example configures the package to use ECMAScript modules (ESM).

    npm init -y; npm pkg set type="module"
    
  4. Install the @influxdata/influxdb3-client JavaScript client library as a dependency to your project.

    npm install --save @influxdata/influxdb3-client
    
  5. In your terminal or editor, create a write.js file.

    touch write.js
    
  6. Inside of write.js, enter the following sample code:

    // write.js
    import { InfluxDBClient } from '@influxdata/influxdb3-client';
    
    /**
     * Set InfluxDB credentials.
     */
    const host = 'cluster-host.com';
    const database = 'get-started';
    /**
     * INFLUX_TOKEN is an environment variable you assigned to your
     * WRITE token value.
     */
    const token = process.env.INFLUX_TOKEN;
    
    /**
     * Write line protocol to InfluxDB using the JavaScript client library.
     */
    export async function writeLineProtocol() {
      /**
       * Instantiate an InfluxDBClient
       */
      const client = new InfluxDBClient({ host, token });
    
      /**
       * Define line protocol records to write.
       */
      const records = [
        `home,room=Living\\ Room temp=21.1,hum=35.9,co=0i 1641124000`,
        `home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641124000`,
        `home,room=Living\\ Room temp=21.4,hum=35.9,co=0i 1641127600`,
        `home,room=Kitchen temp=23.0,hum=36.2,co=0 1641127600`,
        `home,room=Living\\ Room temp=21.8,hum=36.0,co=0i 1641131200`,
        `home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641131200`,
        `home,room=Living\\ Room temp=22.2,hum=36.0,co=0i 1641134800`,
        `home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641134800`,
        `home,room=Living\\ Room temp=22.2,hum=35.9,co=0i 1641138400`,
        `home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641138400`,
        `home,room=Living\\ Room temp=22.4,hum=36.0,co=0i 1641142000`,
        `home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641142000`,
        `home,room=Living\\ Room temp=22.3,hum=36.1,co=0i 1641145600`,
        `home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641145600`,
        `home,room=Living\\ Room temp=22.3,hum=36.1,co=1i 1641149200`,
        `home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641149200`,
        `home,room=Living\\ Room temp=22.4,hum=36.0,co=4i 1641152800`,
        `home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641152800`,
        `home,room=Living\\ Room temp=22.6,hum=35.9,co=5i 1641156400`,
        `home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641156400`,
        `home,room=Living\\ Room temp=22.8,hum=36.2,co=9i 1641160000`,
        `home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641160000`,
        `home,room=Living\\ Room temp=22.5,hum=36.3,co=14i 1641163600`,
        `home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641163600`,
        `home,room=Living\\ Room temp=22.2,hum=36.4,co=17i 1641167200`,
        `home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641167200`,
      ];
    
      /**
       * Creates an array that contains separate write request promises
       * for all the records.
       */
      const writePromises = records.map((record) => {
        return client.write(record, database, '', { precision: 's' }).then(
          () => `Data has been written successfully: ${record}`,
          () => `Failed writing data: ${record}`
        );
      });
    
      /**
       * Wait for all the write promises to settle, and then output the results.
       */
      const writeResults = await Promise.allSettled(writePromises);
      writeResults.forEach((write) => console.log(write.value));
    
      /** Close the client to release resources. */
      await client.close();
    }
    

    The sample code does the following:

    1. Imports the InfluxDBClient class.

    2. Calls the new InfluxDBClient() constructor and passes a ClientOptions object to instantiate a client configured with InfluxDB credentials.

      • host: your InfluxDB cluster URL
      • token: a database token with write access to the specified database. Store this in a secret store or environment variable to avoid exposing the raw token string.
    3. Defines a list of line protocol strings where each string represents a data record.

    4. Calls the client’s write() method for each record, defines the success or failure message to return, and collects the pending promises into the writePromises array. Each call to write() passes the following arguments:

      • record: the line protocol record
      • database: the name of the InfluxDB Clustered database to write to
      • {precision}: a WriteOptions object that sets the precision value.

      Because the timestamps in the sample line protocol are in second precision, the example passes s as the precision value to set the write timestamp precision to seconds.

    5. Calls Promise.allSettled() with the promises array to pause execution until the promises have completed, and then assigns the array containing success and failure messages to a writeResults constant.

    6. Iterates over and prints the messages in writeResults.

    7. Closes the client to release resources.

  7. In your terminal or editor, create an index.js file.

  8. Inside of index.js, enter the following sample code to import and call writeLineProtocol():

    // index.js
    import { writeLineProtocol } from './write.js';
    
    /**
     * Execute the client functions.
     */
    async function main() {
      /** Write line protocol data to InfluxDB. */
      await writeLineProtocol();
    }
    
    main();
    
  9. In your terminal, execute index.js to write to InfluxDB Clustered:

    node index.js
    

If successful, the output is the success message; otherwise, error details and the failure message.

  1. If you haven’t already, follow the Microsoft.com download instructions to install .NET and the dotnet CLI.

  2. In your terminal, create an executable C# project using the .NET console template.

    dotnet new console --name influxdb_csharp_client
    
  3. Change into the generated influxdb_csharp_client directory.

    cd influxdb_csharp_client
    
  4. Run the following command to install the latest version of the InfluxDB v3 C# client library.

    dotnet add package InfluxDB3.Client
    
  5. In your editor, create a Write.cs file and enter the following sample code:

    // Write.cs
    
    using System;
    using System.Threading.Tasks;
    using InfluxDB3.Client;
    using InfluxDB3.Client.Query;
    
    namespace InfluxDBv3;
    
    public class Write
    {
      /**
        * Writes line protocol to InfluxDB using the C# .NET client
        * library.
        */
      public static async Task WriteLines()
      {
        // Set InfluxDB credentials
        const string host = "https://cluster-host.com";
        string? database = "get-started";
    
        /**
          * INFLUX_TOKEN is an environment variable you assigned to your
          * WRITE token value.
          */
        string? token = System.Environment
            .GetEnvironmentVariable("INFLUX_TOKEN");
    
        // Instantiate the InfluxDB client with credentials.
        using var client = new InfluxDBClient(
            host, token: token, database: database);
    
        /**
          * Define an array of line protocol strings to write.
          * Include an additional backslash to preserve backslashes
          * and prevent interpretation of escape sequences---for example,
          * escaped spaces in tag values.
          */
        string[] lines = new string[] {
              "home,room=Living\\ Room temp=21.1,hum=35.9,co=0i 1641024000",
              "home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000",
              "home,room=Living\\ Room temp=21.4,hum=35.9,co=0i 1641027600",
              "home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600",
              "home,room=Living\\ Room temp=21.8,hum=36.0,co=0i 1641031200",
              "home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200",
              "home,room=Living\\ Room temp=22.2,hum=36.0,co=0i 1641034800",
              "home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800",
              "home,room=Living\\ Room temp=22.2,hum=35.9,co=0i 1641038400",
              "home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400",
              "home,room=Living\\ Room temp=22.4,hum=36.0,co=0i 1641042000",
              "home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000",
              "home,room=Living\\ Room temp=22.3,hum=36.1,co=0i 1641045600",
              "home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600",
              "home,room=Living\\ Room temp=22.3,hum=36.1,co=1i 1641049200",
              "home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200",
              "home,room=Living\\ Room temp=22.4,hum=36.0,co=4i 1641052800",
              "home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800",
              "home,room=Living\\ Room temp=22.6,hum=35.9,co=5i 1641056400",
              "home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400",
              "home,room=Living\\ Room temp=22.8,hum=36.2,co=9i 1641060000",
              "home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000",
              "home,room=Living\\ Room temp=22.5,hum=36.3,co=14i 1641063600",
              "home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600",
              "home,room=Living\\ Room temp=22.2,hum=36.4,co=17i 1641067200",
              "home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200"
        };
    
        // Write each record separately.
        foreach (string line in lines)
        {
          // Write the record to InfluxDB with timestamp precision in seconds.
          await client.WriteRecordAsync(
              record: line, precision: WritePrecision.S);
          Console.WriteLine(
              "Data has been written successfully: {0,-30}", line);
        }
      }
    }
    

    The sample does the following:

    1. Calls the new InfluxDBClient() constructor to instantiate a client configured with InfluxDB credentials.

      • host: your InfluxDB cluster URL
      • database: the name of the InfluxDB Clustered database to write to
      • token: a database token with write access to the specified database. Store this in a secret store or environment variable to avoid exposing the raw token string.

      The using statement ensures that the program disposes of the client when it’s no longer needed.

    2. Defines an array of line protocol strings where each string represents a data record.

    3. Calls the client’s WriteRecordAsync() method to write each line protocol record to InfluxDB.

      Because the timestamps in the sample line protocol are in second precision, the example passes the WritePrecision.S enum value to the precision: option to set thetimestamp precision to seconds.

  6. In your editor, open the Program.cs file and replace its contents with the following:

    // Program.cs
    
    using System;
    using System.Threading.Tasks;
    
    namespace InfluxDBv3;
    
    public class Program
    {
      public static async Task Main()
      {
        await Write.WriteLineProtocol();
      }
    }
    

    The Program class shares the same InfluxDBv3 namespace as the Write class you defined in the preceding step and defines a Main() function that calls Write.WriteLineProtocol(). The dotnet CLI recognizes Program.Main() as the entry point for your program.

  7. To build and execute the program and write the line protocol to your InfluxDB Clustered database, enter the following command in your terminal:

    dotnet run
    

If successful, the output is the success message; otherwise, error details and the failure message.

The tutorial assumes using Maven version 3.9 and Java version >= 15.

  1. If you haven’t already, follow the instructions to download and install the Java JDK and Maven for your system.

  2. In your terminal or editor, use Maven to generate a project–for example:

    mvn org.apache.maven.plugins:maven-archetype-plugin:3.1.2:generate \
    -DarchetypeArtifactId="maven-archetype-quickstart" \
    -DarchetypeGroupId="org.apache.maven.archetypes" -DarchetypeVersion="1.4" \
    -DgroupId="com.influxdbv3" -DartifactId="influxdb_java_client"
    -Dversion="1.0"
    

    Maven creates the <artifactId> directory (./influxdb_java_client) that contains a pom.xml and scaffolding for your com.influxdbv3.influxdb_java_client Java application.

  3. In your terminal or editor, change into the ./influxdb_java_client directory–for example:

    cd ./influxdb_java_client
    
  4. In your editor, open the pom.xml Maven configuration file and add the com.influxdb.influxdb3-java client library into dependencies.

    ...
    <dependencies>
      ...
      <dependency>
      <groupId>com.influxdb</groupId>
      <artifactId>influxdb3-java</artifactId>
      <version>0.1.0</version>
      </dependency>
      ...
    </dependencies>
    
  5. To check your pom.xml for problems, run Maven’s validate command–for example, enter the following in your terminal:

    mvn validate
    
  6. In your editor, navigate to the ./influxdb_java_client/src/main/java/com/influxdbv3 directory and create a Write.java file.

  7. In Write.java, enter the following sample code:

    // Write.java
    package com.influxdbv3;
    
    import java.util.List;
    import com.influxdb.v3.client.InfluxDBClient;
    import com.influxdb.v3.client.write.WriteOptions;
    import com.influxdb.v3.client.write.WritePrecision;
    
    /**
      * Writes line protocol to InfluxDB using the Java client
      * library.
      */
    public final class Write {
        /**
        * Write data to InfluxDB v3.
        */
        private Write() {
            //not called
        }
    
        /**
          * @throws Exception
          */
        public static void writeLineProtocol() throws Exception {
    
            // Set InfluxDB credentials
            final String host = "https://cluster-host.com";
            final String database = "get-started";
    
            /**
              * INFLUX_TOKEN is an environment variable you assigned to your
              * WRITE token value.
              */
            final char[] token = (System.getenv("INFLUX_TOKEN")).
            toCharArray();
    
            // Instantiate the InfluxDB client.
            try (InfluxDBClient client = InfluxDBClient.getInstance(host,
            token, database)) {
                // Create a list of line protocol records.
                final List<String> records = List.of(
                  "home,room=Living\\ Room temp=21.1,hum=35.9,co=0i 1641024000",
                  "home,room=Kitchen temp=21.0,hum=35.9,co=0i 1641024000",
                  "home,room=Living\\ Room temp=21.4,hum=35.9,co=0i 1641027600",
                  "home,room=Kitchen temp=23.0,hum=36.2,co=0i 1641027600",
                  "home,room=Living\\ Room temp=21.8,hum=36.0,co=0i 1641031200",
                  "home,room=Kitchen temp=22.7,hum=36.1,co=0i 1641031200",
                  "home,room=Living\\ Room temp=22.2,hum=36.0,co=0i 1641034800",
                  "home,room=Kitchen temp=22.4,hum=36.0,co=0i 1641034800",
                  "home,room=Living\\ Room temp=22.2,hum=35.9,co=0i 1641038400",
                  "home,room=Kitchen temp=22.5,hum=36.0,co=0i 1641038400",
                  "home,room=Living\\ Room temp=22.4,hum=36.0,co=0i 1641042000",
                  "home,room=Kitchen temp=22.8,hum=36.5,co=1i 1641042000",
                  "home,room=Living\\ Room temp=22.3,hum=36.1,co=0i 1641045600",
                  "home,room=Kitchen temp=22.8,hum=36.3,co=1i 1641045600",
                  "home,room=Living\\ Room temp=22.3,hum=36.1,co=1i 1641049200",
                  "home,room=Kitchen temp=22.7,hum=36.2,co=3i 1641049200",
                  "home,room=Living\\ Room temp=22.4,hum=36.0,co=4i 1641052800",
                  "home,room=Kitchen temp=22.4,hum=36.0,co=7i 1641052800",
                  "home,room=Living\\ Room temp=22.6,hum=35.9,co=5i 1641056400",
                  "home,room=Kitchen temp=22.7,hum=36.0,co=9i 1641056400",
                  "home,room=Living\\ Room temp=22.8,hum=36.2,co=9i 1641060000",
                  "home,room=Kitchen temp=23.3,hum=36.9,co=18i 1641060000",
                  "home,room=Living\\ Room temp=22.5,hum=36.3,co=14i 1641063600",
                  "home,room=Kitchen temp=23.1,hum=36.6,co=22i 1641063600",
                  "home,room=Living\\ Room temp=22.2,hum=36.4,co=17i 1641067200",
                  "home,room=Kitchen temp=22.7,hum=36.5,co=26i 1641067200"
                );
    
                /**
                 * Write each record separately to InfluxDB with timestamp
                 * precision in seconds.
                 * If no error occurs, print a success message.
                 * */
                for (String record : records) {
                    client.writeRecord(record, new WriteOptions(null, null,
                    WritePrecision.S));
                    System.out.printf("Data has been written successfully:
                    %s%n", record);
                }
            }
        }
    }
    

    The sample code does the following:

    1. Imports the following classes:

      • java.util.List;
      • com.influxdb.v3.client.InfluxDBClient
      • com.influxdb.v3.client.write.WriteParameters
      • com.influxdb.v3.client.write.WritePrecision
    2. Calls InfluxDBClient.getInstance() to instantiate a client configured with InfluxDB credentials.

      • host: your InfluxDB cluster URL
      • database: the name of the InfluxDB Clustered database to write to
      • token: a database token with write access to the specified database. Store this in a secret store or environment variable to avoid exposing the raw token string.
    3. Defines a list of line protocol strings where each string represents a data record.

    4. Calls the client’s writeRecord() method to write each record separately to InfluxDB.

      Because the timestamps in the sample line protocol are in second precision, the example passes the WritePrecision.S enum value as the precision argument to set the write timestamp precision to seconds.

  8. In your editor, open the App.java file (created by Maven) and replace its contents with the following sample code:

    // App.java
    
    package com.influxdbv3;
    
    /**
    * Execute the client functions.
    *
    */
    public class App {
    
        /**
        * @param args
        * @throws Exception
        */
        public static void main(final String[] args) throws Exception {
            // Write data to InfluxDB v3.
            Write.writeLineProtocol();
        }
    }
    
    • The App class and Write class are part of the same com.influxdbv3 package (your project groupId).
    • App defines a main() function that calls Write.writeLineProtocol().
  9. In your terminal or editor, use Maven to install dependencies and compile the project code–for example:

    mvn compile
    
  10. In your terminal or editor, execute App.main() to write to InfluxDB–for example, using Maven:

    mvn exec:java -Dexec.mainClass="com.influxdbv3.App"
    

If successful, the output is the success message; otherwise, error details and the failure message.

View the written data

Congratulations! You’ve written data to InfluxDB. Next, learn how to query your data.


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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

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InfluxDB v3 enhancements and InfluxDB Clustered is now generally available

New capabilities, including faster query performance and management tooling advance the InfluxDB v3 product line. InfluxDB Clustered is now generally available.

InfluxDB v3 performance and features

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