Documentation

Python client library

Use InfluxDB v3 clients

The /api/v2/query API endpoint and associated tooling, such as InfluxDB v2 client libraries and the influx CLI, can’t query an InfluxDB Cloud Dedicated cluster.

InfluxDB v3 client libraries and Flight SQL clients are available that integrate with your code to write and query data stored in InfluxDB Cloud Dedicated.

InfluxDB v3 supports many different tools for writing and querying data. Compare tools you can use to interact with InfluxDB Cloud Dedicated.

Use the InfluxDB Python client library to integrate InfluxDB into Python scripts and applications.

This guide presumes some familiarity with Python and InfluxDB. If just getting started, see Get started with InfluxDB.

Before you begin

You’ll need the following prerequisites:

  1. Install the InfluxDB Python library:

    pip install influxdb-client
    
  2. InfluxDB Cloud Dedicated cluster URL using the HTTPS protocol–for example:

    https://cluster-id.influxdb.io
    
  3. Name of the database to write to.

  4. InfluxDB database token with permission to write to the database. For security reasons, we recommend setting an environment variable to store your token and avoid exposing the raw token value in your script.

Write data to InfluxDB with Python

Follow the steps to write line protocol data to an InfluxDB Cloud Dedicated database.

  1. In your editor, create a file for your Python program–for example: write.py.

  2. In the file, import the InfluxDB client library.

    import influxdb_client
    from influxdb_client.client.write_api import SYNCHRONOUS
    import os
    
  3. Define variables for your database name, organization (required, but ignored), and database token.

    database = "DATABASE_NAME"
    org = "ignored"
    # INFLUX_TOKEN is an environment variable you created for your database WRITE token
    token = os.getenv('INFLUX_TOKEN')
    url="https://cluster-id.influxdb.io"
    
  4. To instantiate the client, call the influxdb_client.InfluxDBClient() method with the following keyword arguments: url, org, and token.

    client = influxdb_client.InfluxDBClient(
       url=url,
       token=token,
       org=org
    )
    

    The InfluxDBClient object has a write_api method used for configuration.

  5. Instantiate a write client by calling the client.write_api() method with write configuration options.

    write_api = client.write_api(write_options=SYNCHRONOUS)
    
  6. Create a point object and write it to InfluxDB using the write method of the API writer object. The write method requires three parameters: bucket, org, and record.

    p = influxdb_client.Point("my_measurement").tag("location", "Prague").field("temperature", 25.3)
    write_api.write(bucket=database, org=org, record=p)
    

Complete example write script

import influxdb_client
from influxdb_client.client.write_api import SYNCHRONOUS
import os

database = "DATABASE_NAME"
org = "ignored"
# INFLUX_TOKEN is an environment variable you created for your database WRITE token
token = os.getenv('INFLUX_TOKEN')
url="https://cluster-id.influxdb.io"

client = influxdb_client.InfluxDBClient(
    url=url,
    token=token,
    org=org
)

# Write script
write_api = client.write_api(write_options=SYNCHRONOUS)

p = influxdb_client.Point("my_measurement").tag("location", "Prague").field("temperature", 25.3)
write_api.write(bucket=database, org=org, record=p)

Query data from InfluxDB with Python

The InfluxDB v2 Python client can’t query InfluxDB Cloud Dedicated. To query your dedicated instance, use a Python Flight SQL client with gRPC.


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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.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: