Python Flight client
Apache Arrow Python bindings integrate with Python scripts and applications to query data stored in InfluxDB.
Use InfluxDB 3 client libraries
We recommend using the influxdb3-python Python client library for integrating InfluxDB 3 with your Python application code.
InfluxDB 3 client libraries wrap Apache Arrow Flight clients and provide convenient methods for writing, querying, and processing data stored in InfluxDB 3 Enterprise. Client libraries can query using SQL or InfluxQL.
The following examples show how to use the pyarrow.flight and pandas Python modules to query and format data stored in an InfluxDB 3 Enterprise database:
# Using pyarrow>=12.0.0 FlightClient
from pyarrow.flight import FlightClient, Ticket, FlightCallOptions
import json
import pandas
import tabulate
# Downsampling query groups data into 2-hour bins
sql="""
SELECT DATE_BIN(INTERVAL '2 hours', time) AS time,
room,
selector_max(temp, time)['value'] AS 'max temp',
selector_min(temp, time)['value'] AS 'min temp',
avg(temp) AS 'average temp'
FROM home
GROUP BY
1,
room
ORDER BY room, 1"""
flight_ticket = Ticket(json.dumps({
"namespace_name": "DATABASE_NAME",
"sql_query": sql,
"query_type": "sql"
}))
token = (b"authorization", bytes(f"Bearer DATABASE_TOKEN".encode('utf-8')))
options = FlightCallOptions(headers=[token])
client = FlightClient(f"grpc+tls://localhost:8181:443")
reader = client.do_get(flight_ticket, options)
arrow_table = reader.read_all()
# Use pyarrow and pandas to view and analyze data
data_frame = arrow_table.to_pandas()
print(data_frame.to_markdown())# Using pyarrow>=12.0.0 FlightClient
from pyarrow.flight import FlightClient, Ticket, FlightCallOptions
import json
import pandas
import tabulate
# Downsampling query groups data into 2-hour bins
influxql="""
SELECT FIRST(temp)
FROM home
WHERE room = 'kitchen'
AND time >= now() - 100d
AND time <= now() - 10d
GROUP BY time(2h)"""
flight_ticket = Ticket(json.dumps({
"namespace_name": "DATABASE_NAME",
"sql_query": influxql,
"query_type": "influxql"
}))
token = (b"authorization", bytes(f"Bearer DATABASE_TOKEN".encode('utf-8')))
options = FlightCallOptions(headers=[token])
client = FlightClient(f"grpc+tls://localhost:8181:443")
reader = client.do_get(flight_ticket, options)
arrow_table = reader.read_all()
# Use pyarrow and pandas to view and analyze data
data_frame = arrow_table.to_pandas()
print(data_frame.to_markdown())Replace the following:
DATABASE_NAME: your InfluxDB 3 Enterprise databaseDATABASE_TOKEN: a database token with sufficient permissions to the specified database
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Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB 3 Enterprise and this documentation. To find support, use the following resources:
Customers with an annual or support contract can contact InfluxData Support. Customers using a trial license can email trial@influxdata.com for assistance.