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Companies grew faster than tech services could scale-out servers and management shouted "Oh no! This monolithic application will not scale!" Reach out to our Support Team if you have any questions.Ĭnxn = mod.connect("Url= sql = "SELECT Id, Summary FROM Bugs WHERE Creator = etl.Lets see, first came the client/server applications and all was well! Well, not exactly first, but for the purpose of this discussion I'll say client/server came first. Free Trial & More Informationĭownload a free, 30-day trial of the Bugzilla Python Connector to start building Python apps and scripts with connectivity to Bugzilla data. With the CData Python Connector for Bugzilla, you can work with Bugzilla data just like you would with any database, including direct access to data in ETL packages like petl.

In this example, we extract Bugzilla data, sort the data by the Summary column, and load the data into a CSV file. With the query results stored in a DataFrame, we can use petl to extract, transform, and load the Bugzilla data. Sql = "SELECT Id, Summary FROM Bugs WHERE Creator = Transform, and Load the Bugzilla Data In this article, we read data from the Bugs entity. Use SQL to create a statement for querying Bugzilla. Use the connect function for the CData Bugzilla Connector to create a connection for working with Bugzilla data.Ĭnxn = mod.connect("Url= Create a SQL Statement to Query Bugzilla You can now connect with a connection string.

#BUGZILLA GMAIL FULL#

Code snippets follow, but the full source code is available at the end of the article.įirst, be sure to import the modules (including the CData Connector) with the following: Once the required modules and frameworks are installed, we are ready to build our ETL app.

#BUGZILLA GMAIL INSTALL#

Pip install pandas Build an ETL App for Bugzilla Data in Python Use the pip utility to install the required modules and frameworks: pip install petl

ApiKey: API Keys can be generated from the Preferences -> API Keys section of your Bugzilla developer's page.Īfter installing the CData Bugzilla Connector, follow the procedure below to install the other required modules and start accessing Bugzilla through Python objects.

URL: The URL of your Bugzilla developer's page (the Home page).

You can authenticate to your Bugzilla account using two parameters: For this article, you will pass the connection string as a parameter to the create_engine function. Create a connection string using the required connection properties.

#BUGZILLA GMAIL DRIVER#

When you issue complex SQL queries from Bugzilla, the driver pushes supported SQL operations, like filters and aggregations, directly to Bugzilla and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).Ĭonnecting to Bugzilla data looks just like connecting to any relational data source. With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Bugzilla data in Python.

#BUGZILLA GMAIL HOW TO#

This article shows how to connect to Bugzilla with the CData Python Connector and use petl and pandas to extract, transform, and load Bugzilla data. With the CData Python Connector for Bugzilla and the petl framework, you can build Bugzilla-connected applications and pipelines for extracting, transforming, and loading Bugzilla data. The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively.