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How can I calculate the exact memory a Node.js step consuming?
How can I calculate the exact memory a Node.js step consuming?
To calculate the exact memory consumption of a Node.js step in a Pipedream workflow, you can use the process.memoryUsage() function within your code step. Here’s an example: ```
export default defineComponent({ async run({ steps, $ }) { // Your code here const memoryUsage = process.memoryUsage(); console.log(“Memory usage:”, memoryUsage); return memoryUsage; }, });
How can I see the results in MB?
To display the memory usage in MB, you can modify the example I provided earlier to convert the memory usage from bytes to megabytes: ```
export default defineComponent({ async run({ steps, $ }) { // Your code here const memoryUsage = process.memoryUsage(); const memoryUsageMB = { rss: (memoryUsage.rss / (1024 ** 1024)).toFixed(2), heapTotal: (memoryUsage.heapTotal / (1024 ** 1024)).toFixed(2), heapUsed: (memoryUsage.heapUsed / (1024 ** 1024)).toFixed(2), external: (memoryUsage.external / (1024 ** 1024)).toFixed(2), }; console.log(“Memory usage (MB):”, memoryUsageMB); return memoryUsageMB; }, });
What are all the parameters there?
The process.memoryUsage() function returns an object with the following properties: 1. rss: Resident Set Size, the portion of the process’s memory held in RAM. 2. heapTotal: Total size of the allocated heap in bytes. 3. heapUsed: Amount of memory used by the heap in bytes. 4. external: Memory used by external resources like C++ objects bound to JavaScript objects. These properties represent memory usage in bytes. In the previous example, I showed you how to convert these values to megabytes for easier readability.
So which parameter is the most important part?
The most important parameter in the memory usage object depends on your specific use case and what aspect of memory consumption you’re most interested in. However, in most cases, heapUsed is the most relevant parameter, as it represents the actual memory used by your Node.js step in the heap. This can help you understand how much memory your code is consuming and if there are any potential memory leaks or inefficiencies.
And if I want to calculate the whole Workflow memory then how can I do this?
Calculating the total memory usage for an entire workflow isn’t directly possible within the workflow itself, as memory usage is specific to each individual step. However, you can monitor the memory usage of each step separately using the process.memoryUsage() method I mentioned earlier. By analyzing the memory usage of each step, you can get an idea of the overall memory consumption of your workflow. Keep in mind that the memory usage might vary between executions depending on the input data and processing requirements.
Thanks
You’re welcome! If you have any more questions or need further assistance, feel free to ask.
It would be pretty awesome if Pipedream surfaced this somewhere for each invocation. It would greatly help with optimization (e.g. finding which steps consume the most memory).
It’s easy to blindly increase the memory for a workflow (when it runs out), but it would be good to understand exactly why we have to do so (and how close we are to running out, before it happens).
In the product would be good, but it might be even better to make the data available for external analysis (e.g. so that we could sync it in Snowflake).
That way, we could monitor trends over time, detect when memory is about to run out, etc.
Even for Pipedream themselves, aggregated customer data could help to identify steps which consume high amounts of memory (in order to optimize them).
Which I assume they are already doing in some form.
Tracking this here! Separately, we do plan to expose the event data in a way that can be programmatically consumed, e.g. webhooks and an API that exposes an OpenTelemetry feed of all executions
Tracking that here: https://github.com/PipedreamHQ/pipedream/issues/188