devart-bigquery-connector 1.3.0

New level of functionality and performance in data access via Python

Python Connector for Google BigQuery

Python Connector for Google BigQuery is a connectivity solution for accessing the Google BigQuery data warehouse from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows and Windows Server.

GoogleSQL for BigQuery

The connector fully supports the BigQuery SQL dialects, data types, and query syntax, including functions, operators, and conditional expressions. Examples of supported BigQuery functions:

Connecting

To establish a connection to Google BigQuery, import the connector and use the connect() method with your connection parameters.

Import the connector

First, import the BigQuery connector module:

import devart.bigquery as bigquery

Establish a connection

Call the connect() method with the connection parameters for your BigQuery server and obtain a connection object.

response = bigquery.signin()
my_connection = bigquery.connect(
    ProjectId="your_project_id",
    DataSetId="your_dataset_id",
    RefreshToken=response["Refresh Token"]
)

Replace the example values with your actual connection values.

Querying data

Once connected, you can execute SQL queries to retrieve data from your BigQuery datasets.

Execute a query

Create a cursor object using the cursor() connection method.

my_cursor = my_connection.cursor()

Execute a SQL query using the execute() cursor method.

my_cursor.execute("SELECT * FROM employees")

Retrieve results using one of the fetch*() methods.

for row in my_cursor.fetchall():
    print(row)

Parameterized queries

You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.

Pass parameters as a list or tuple to the execute() method:

query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "[e-mail]"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
    print(row)

Each placeholder ? in the query is replaced with a corresponding value from the parameter list.

Ordering and activating the license

You can purchase a license for the connector on the ordering page:
https://www.devart.com/python/bigquery/ordering.html

To activate the license, follow the instructions in the documentation:
https://docs.devart.com/python/bigquery/activate-a-license.htm

What's new

Python Connector for Google BigQuery 1.3

• Added support for Python 3.14