Property usedJSHeapSize in Chrome

After doing some research online, I found that the documentation on this topic is quite lacking. I am currently dealing with a significant memory leak in my code and have been using:

window.performance.memory.usedJSHeapSize

However, it seems like the value remains stagnant at 10MB, which is not accurate when compared to the values shown either here:

chrome://memory-internals/

or when looking at the Timeline in devTools where there is a noticeable discrepancy. Has anyone else encountered a similar issue? Do I need to manually update these values (by running commands such as "update" or "measure")?

Further exploring this topic through: Information heap size it appears that this value increases by a specific increment. Is there a way to identify or adjust this increment? Based on my observations, the page initially has about 10MB of memory, which then grows to approximately 400MB after 30 minutes, ultimately causing the page to crash half an hour later... Any suggestions?

(The underlying cause of the memory leak within the code is a separate issue; please focus on helping me utilize this variable for testing purposes).

javascriptperformancegoogle-chromememory-leaks

Answer №1

If you're curious about how memory information is handled on WebPlatform.org, there's a helpful section in their documentation that delves into the details:

To enhance security and protect against potential attacks, memory values are quantized to prevent exposure of private data. However, if Chrome is executed with the --enable-precise-memory-info flag, these values are not quantized.

For more insight, check out the following link:

By default, the displayed number is not fully accurate and only updates every 20 minutes. This might explain why your number appears static. On the other hand, enabling the flag results in precise real-time updates.

The detailed reasoning behind this approach can be found in the WebKit commit message:

A recent patch introduces an option for websites to access quantized and rate-limited memory information. By limiting data retrieval to every 20 minutes and restricting the reporting to 100 unique memory values, the risk of side-channel attacks is significantly reduced. This strategy makes it challenging for malicious entities to interpret minor fluctuations in memory usage.

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