Your SPA probably leaks memory. Your Playwright suite can catch it
[soak] drawer — 80 iterations base heap 2.83MB nodes 675 listeners 163 docs 1 @ 40 heap 3.50MB nodes 5675 listeners 163 docs 1 @ 80 heap 4.18MB nodes 10675 listeners 163 docs 1 delta heap +1.36MB nodes +10000 listeners +0 docs +0 per-iteration heap 17.35KB nodes 125.00 nodes ++++++++ +10000 total, biggest stretch 13% of it (spread out, so accumulating) That's a memory leak failing a CI build.…
Playwright, a widely used framework for end-to-end testing of web applications, can inadvertently miss memory leaks in SPAs (Single Page Applications). These leaks can go unnoticed during development, as developers typically reload the page or restart the server frequently. However, once deployed, a memory leak can manifest as a slow performance issue that may be difficult to diagnose.
To address this challenge, playwright-soak, a newly developed package, offers an automated solution to detect memory leaks within Playwright test suites.
The principle behind playwright-soak is simple, yet powerful. It runs a specific flow, such as opening and closing a drawer in a web application, a large number of times – typically hundreds – with forced garbage collection in between. If the memory usage continues to increase during this process, the test fails, indicating a memory leak. This approach is similar to soak tests used in hardware testing, where a system is subjected to extreme conditions for an extended period to reveal any potential issues.
By integrating Playwright with playwright-soak, developers can seamlessly incorporate memory leak detection into their existing CI (Continuous Integration) pipelines. The package can be installed using the command `npm install -D playwright-soak`. Once installed, developers can import the necessary modules and define a test flow, such as opening and closing a drawer, which is then repeated multiple times with memory usage monitored.
The key to effective memory leak detection lies in the careful analysis of memory usage patterns. A one-time allocation, such as a cache filling up on first use or a global listener registered on first interaction, will not lead to a memory leak. However, a memory leak typically involves a subscriber being recreated on every interaction or a listener being added without a corresponding removal. These issues accumulate over time, leading to increasingly high memory usage that can be detected by playwright-soak.
The package provides detailed reports on the different types of memory leaks it detects. These include DOM nodes that are detached but kept alive by closures, cache entries that grow indefinitely, and documents (such as iframes) that are mounted and unmounted per interaction. The most critical indicator of a memory leak is the heap usage, as it accumulates over time and reveals the true extent of the leak.
An important consideration when using playwright-soak is the potential for false positives. A test may flag a healthy application as leaking memory due to legitimate allocations that occur once and remain in memory. Similarly, the browser's own behavior can introduce false alarms, such as registering an extra listener around the middle of a test run and then removing it later.
To mitigate these issues, playwright-soak analyzes memory usage trends over the entire test run, rather than relying solely on the final memory measurement. This approach helps to distinguish between genuine leaks and normal application behavior.
In addition to detecting memory leaks, playwright-soak also accounts for the browser's inherent memory usage. For example, each time a text-editing gesture occurs, Chromium allocates approximately one DOM node. If a test flow involves typing a five-letter word multiple times, playwright-soak will factor in this browser overhead to ensure that memory usage is accurately measured.
To summarize, playwright-soak is an invaluable tool for identifying and preventing memory leaks in SPAs. By integrating this package into existing Playwright test suites, developers can ensure that their applications remain performant and stable over time. The package provides a simple yet effective method for detecting memory leaks that might otherwise go unnoticed, ultimately leading to a more reliable and optimized web application.
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