questdb 2.0.4

QuestDB client library for Python

This is the official Python client library for QuestDB.

This client library implements QuestDB’s variant of the InfluxDB Line Protocol (ILP) over HTTP and TCP.

ILP provides the fastest way to insert data into QuestDB.

This implementation supports authentication and full-connection encryption with TLS.

Quickstart

The latest version of the library is 2.0.3 (changelog).

python3 -m pip install -U questdb[dataframe]

Please start by setting up QuestDB . Once set up, you can use this library to insert data.

The most common way to insert data is from a Pandas dataframe.

import pandas as pd
from questdb.ingress import Sender

df = pd.DataFrame({
    'symbol': pd.Categorical(['ETH-USD', 'BTC-USD']),
    'side': pd.Categorical(['sell', 'sell']),
    'price': [2615.54, 39269.98],
    'amount': [0.00044, 0.001],
    'timestamp': pd.to_datetime(['2021-01-01', '2021-01-02'])})

conf = f'http::addr=localhost:9000;'
with Sender.from_conf(conf) as sender:
    sender.dataframe(df, table_name='trades', at='timestamp')

You can also send individual rows. This only requires a more minimal installation:

python3 -m pip install -U questdb

from questdb.ingress import Sender, TimestampNanos

conf = f'http::addr=localhost:9000;'
with Sender.from_conf(conf) as sender:
    sender.row(
        'trades',
        symbols={'symbol': 'ETH-USD', 'side': 'sell'},
        columns={'price': 2615.54, 'amount': 0.00044},
        at=TimestampNanos.now())
    sender.flush()

To connect via the older TCP protocol, set the configuration string to:

conf = f'tcp::addr=localhost:9009;'
with Sender.from_conf(conf) as sender:
    ...

You can continue by reading the Sending Data Over ILP guide.

Links

• Core database documentation

• Python library documentation

• GitHub repository

• Package on PyPI

Community

Stop by our Community Forum to chat with the QuestDB team.

You can also sign up to our mailing list to get notified of new releases.

License

The code is released under the Apache License 2.0.