Cloud Functions Gen2 with Golang - Instance lifecycle and BigQuery insertion safety without waiting for jobs to complete

php editor Apple brings you an article about Cloud Functions Gen2 using Golang. This article will focus on instance lifecycle and security of BigQuery inserts, and how to do this without waiting for jobs to complete. By reading this article, you will learn how to optimize and improve the performance and security of your applications. Let’s explore this exciting topic together!

Question content

I am using a Google Cloud Function (Gen2) written in Golang, which is triggered by an HTTP request. My use case requires storing some data in BigQuery and I want to avoid waiting for the job to complete before responding to the HTTP request.

However, I am concerned about the behavior of the Cloud Function instance after returning from the function:

How long does an instance remain active after sending an HTTP response? Is it safe not to wait for BigQuery jobs to complete? Do I risk losing data if I terminate the instance before the job completes? Any insights or best practices regarding this scenario would be greatly appreciated.

Solution

This approach is discouraged. Please refer to the following documentation:

Function execution timeline

A function can only access its allocated resources (memory and CPU) during function execution. Code running outside of the execution cycle is not guaranteed to execute and can be stopped at any time. Therefore, you should always properly signal the end of function execution and avoid running any code beyond the scope of function execution.

Do not start background activities

Background activity refers to anything that happens after the function terminates. A function call completes once the function returns or otherwise signals completion, such as by calling the callback parameter in a Node.js event-driven function. Any code running after a graceful termination will not have access to the CPU and will not make any progress.

Additionally, when subsequent calls are made in the same environment, your background activity will resume, interfering with the new calls. This can lead to unexpected behavior and errors that are difficult to diagnose. Accessing the network after the function terminates will usually cause the connection to be reset (ECONNRESET error code).

Background activity can usually be detected in the logs of individual calls by looking for anything logged after the call completion line. Background activities can sometimes be buried deeper in the code, especially when there are asynchronous operations such as callbacks or timers. Check your code to ensure that all asynchronous operations are completed before terminating the function.

Another solution is to implement it as an event-driven function (see Types of Cloud Functions). Then specify a Pub/Sub trigger and Pub/Sub topic for this function (see Pub/Sub Triggers). The client must be rewritten to publish events to this topic.

If the client cannot be overridden, the workaround is to keep both the HTTP function and the event-driven function, and have the HTTP function offload the work to the event-driven function by publishing events to the topic. Depending on the size of the event and the execution time of the BigQuery job, maybe it won't make the client wait less. And I think this approach adds significant cost.

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