Connect an application

The following tutorial creates a basic Python application that connects to a YugabyteDB cluster using the aiopg database adapter, performs a few basic database operations — creating a table, inserting data, and running a SQL query — and prints the results to the screen.


Before you start using Aiopg, ensure you have the following:

  • YugabyteDB up and running. If you are new to YugabyteDB, follow the steps in Quick start to have YugabyteDB up and running in minutes.

  • Python 3, or later, is installed.

  • aiopg package is installed. Install the package using the following command:

    pip3 install aiopg

    For details about using this database adapter, see aiopg documentation.

Create the sample Python application

Create a file and copy the following code:

import asyncio
import aiopg

dsn = 'dbname=yugabyte user=yugabyte password=yugabyte host= port=5433'

async def go():
    async with aiopg.create_pool(dsn) as pool:
        async with pool.acquire() as conn:
            # Open a cursor to perform database operations.
            async with conn.cursor() as cur:
                await cur.execute(f"""
                  DROP TABLE IF EXISTS employee;
                  CREATE TABLE employee (id int PRIMARY KEY,
                             name varchar,
                             age int,
                             language varchar);
                print("Created table employee")
                # Insert a row.
                await cur.execute("INSERT INTO employee (id, name, age, language) VALUES (%s, %s, %s, %s)",
                                  (1, 'John', 35, 'Python'))
                print("Inserted (id, name, age, language) = (1, 'John', 35, 'Python')")

                # Query the row.
                await cur.execute("SELECT name, age, language FROM employee WHERE id = 1")
                async for row in cur:
                    print("Query returned: %s, %s, %s" % (row[0], row[1], row[2]))

loop = asyncio.get_event_loop()

Run the application

To use the application, run the following Python script:


You should see the following output:

Created table employee
Inserted (id, name, age, language) = (1, 'John', 35, 'Python')
Query returned: John, 35, Python