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 Serverless 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 Serverless.
InfluxDB v3 supports many different tools for writing and querying data. Compare tools you can use to interact with InfluxDB Cloud Serverless.
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:
-
Install the InfluxDB Python library:
pip install influxdb-client
-
InfluxDB Cloud Serverless region URL using the HTTPS protocol–for example: https://cloud2.influxdata.com.
-
InfluxDB organization ID.
-
Name of the bucket to write to.
-
InfluxDB API token with permission to write to the bucket. 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 Serverless bucket.
-
In your editor, create a file for your Python program–for example:
write.py
. -
In the file, import the InfluxDB client library.
import influxdb_client from influxdb_client.client.write_api import SYNCHRONOUS import os
-
Define variables for your bucket name, organization, and token.
bucket = "BUCKET_NAME" org = "INFLUX_ORG" # INFLUX_TOKEN is an environment variable you created for your API WRITE token token = os.getenv('INFLUX_TOKEN') url="https://cloud2.influxdata.com"
-
To instantiate the client, call the
influxdb_client.InfluxDBClient()
method with the following keyword arguments:url
,org
, andtoken
.client = influxdb_client.InfluxDBClient( url=url, token=token, org=org )
The
InfluxDBClient
object has awrite_api
method used for configuration. -
Instantiate a write client by calling the
client.write_api()
method with write configuration options.write_api = client.write_api(write_options=SYNCHRONOUS)
-
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
, andrecord
.p = influxdb_client.Point("my_measurement").tag("location", "Prague").field("temperature", 25.3) write_api.write(bucket=bucket, org=org, record=p)
Complete example write script
import influxdb_client
from influxdb_client.client.write_api import SYNCHRONOUS
import os
bucket = "BUCKET_NAME"
org = "INFLUX_ORG"
# INFLUX_TOKEN is an environment variable you created for your API WRITE token
token = os.getenv('INFLUX_TOKEN')
url="https://cloud2.influxdata.com"
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=bucket, org=org, record=p)
Query data from InfluxDB with Python
To query your InfluxDB Cloud Serverless bucket, use the Python client library for InfluxDB v3.
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