To utilize the polars library in Python to read data from an MS SQL server, you can follow these steps:
pip install pyodbc pandas polars
import polars as pl
import pandas as pd
import pyodbc
server = '<server_name>.<domain_name>.com'
database = '<database_name>'
username = '<username>'
password = '<password>'
connection_string = f'DRIVER={{ODBC Driver 17 for SQL Server}};' \
f'SERVER={server};DATABASE={database};UID={username};PWD={password};'
cnxn = pyodbc.connect(connection_string, autocommit=True)
query = "SELECT * FROM <table_name>"
df = pd.read_sql(query, cnxn)
pl_df = pl.from_pandas(df)
Now, you can use all the Polars DataFrame methods to manipulate and analyze the data from the MS SQL server.
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Asked: 2023-05-30 22:05:58 +0000
Seen: 10 times
Last updated: May 30 '23
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