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I have often been asked, “What is the most memorable bug that you have encountered in your testing career?” For me, it is hands down a bug that happened quite a few years ago. I was leading an Engineering Productivity team that supported Google App Engine. At that time App Engine was still in its early stages, and there were many challenges associated with testing rapidly evolving features. Our testing frameworks and processes were also evolving, so it was an exciting time to be on the team.
What makes this bug so memorable is that I spent so much time developing a comprehensive suite of test scenarios, yet a failure occurred during such an obvious use case that it left me shaking my head and wondering how I had missed it. Even with many years of testing experience it can be very humbling to construct scenarios that adequately mirror what will happen in the field.
I’ll try to provide enough background for the reader to play along and see if they can determine the anomalous scenario. As a further hint, the problem resulted from the interaction of two App Engine features, so I like calling this story A Tale of Two Features.
Google App Engine was released 13 years ago as Google’s first Cloud product. It allowed users to build and deploy highly scalable web applications in the Cloud. To support this, it had its own scalable database called the Datastore. An administration console allowed users to manage the application and its Datastore through a web interface. Users wrote applications that consisted of request handlers that App Engine invoked according to the URL that was specified. The handlers could call App Engine services like Datastore through a remote procedure call (RPC) mechanism. Figure 1 illustrates this flow.
The first feature in this Tale of Two Features resided in the administration console, providing the ability to back up, restore, and delete selected or all of an application’s entities in the Datastore. It was implemented in a clever way that incorporated it directly into the application, rather than as an independent utility. As part of the application it could freely operate on the Datastore and incur the same billing charges as other datastore operations within the application. When the feature was invoked, traffic would be sent to its handler and the application would process it. Figure 2 illustrates this request flow.
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