Python read Cassandra data into pandas

Author: ragesz

What is the proper and fastest way to read Cassandra data into pandas? Now I use the following code but it's very slow...

import pandas as pd

from cassandra.cluster import Cluster
from cassandra.auth import PlainTextAuthProvider
from cassandra.query import dict_factory

auth_provider = PlainTextAuthProvider(username=CASSANDRA_USER, password=CASSANDRA_PASS)
cluster = Cluster(contact_points=[CASSANDRA_HOST], port=CASSANDRA_PORT,

session = cluster.connect(CASSANDRA_DB)
session.row_factory = dict_factory

sql_query = "SELECT * FROM {}.{};".format(CASSANDRA_DB, CASSANDRA_TABLE)

df = pd.DataFrame()

for row in session.execute(sql_query):
    df = df.append(pd.DataFrame(row, index=[0]))

df = df.reset_index(drop=True).fillna(

Reading 1000 rows takes 1 minute, and I have a "bit more"... If I run the same query eg. in DBeaver, I get the whole results (~40k rows) within a minute.

Thank you!!!

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