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How to query an SQLite database using Constellab?

Feb 12, 2024

Co-authors : 
BM
Benjamin M

In this article, we show how to use a simple Python live code to query an SQLite database using Pandas into Constellab.




Input data


The input data is a SQLite db file with a table named demo


Live code


The following Python live code select the table demo and converts it to a Pandas DataFrame. This DataFrame is sent to the output the task and can be displayed in a table.


import sqlite3
import pandas as pd
from gws_core import Table
def load_table_into_dataframe(db_file, table_name):
    # Connect to the SQLite database
    conn = sqlite3.connect(db_file)
    
    # Create a pandas DataFrame by fetching the entire table from the database
    query = f"SELECT * FROM {table_name};"
    df = pd.read_sql_query(query, conn)
    
    # Close the database connection
    conn.close()
    
    return df
# The name of the table to select
table_name = 'demo'
# Load the table into a pandas DataFrame
df = load_table_into_dataframe(sources[0].path, table_name)
targets = [Table(df)]

Parameters


No parameters are used.


Results


This is the content of the selected table demo rendered as a table