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node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

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Languages

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GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
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node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
Skip to content

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node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
Skip to content

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node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
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node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
Skip to content

Repository files navigation

node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

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6 stars

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
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node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - dhlolo/node-memwatch: A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks. · GitHub
Skip to content

Repository files navigation

node-memwatch: Leak Detection and Heap Diffing for Node.JS

node-memwatch is here to help you detect and find memory leaks in Node.JS code. It provides:

  • A stats event, emitted on full MarkSweepCompact GCs giving you data describing your heap usage and trends over time.

  • A HeapDiff class that lets you compare the state of your heap between two points in time, telling you what has been allocated, and what has been released.

Installation

  • npm install @airbnb/node-memwatch

Description

There are a growing number of tools for debugging and profiling memory usage in Node.JS applications, but there is still a need for a platform-independent native module that requires no special instrumentation. This module attempts to satisfy that need.

To get started, import node-memwatch like so:

varmemwatch=require('@airbnb/node-memwatch');

Leak Detection

Currently unsupported while we explore heuristics

Heap Usage

The best way to evaluate your memory footprint is to look at heap usage right after V8 performs garbage collection. memwatch does exactly this - it checks heap usage only after GC to give you a stable baseline of your actual memory usage.

When V8 performs a garbage collection (technically, we're talking about a full GC with heap compaction), memwatch will emit a stats event.

memwatch.on('stats',function(stats){ ... });

The stats data will look something like this:

{gcScavengeCount: 1,gcScavengeTime: 1100880,// nsgcMarkSweepCompactCount: 2,gcMarkSweepCompactTime: 21157231,// nsgcIncrementalMarkingCount: 0,gcIncrementalMarkingTime: 0,//nsgcProcessWeakCallbacksCount: 0,gcProcessWeakCallbacksTime: 0,// nstotal_heap_size: 16097280,// bytestotal_heap_size_executable: 3670016,// bytestotal_physical_size: 10741880,// bytestotal_available_size: 1487689928,// bytesused_heap_size: 5691584,// bytesheap_size_limit: 1501560832,// bytesmalloced_memory: 8192,peak_malloced_memory: 1185464,gc_time: 4587251// ns}

V8 has its own idea of when it's best to perform a GC, and under a heavy load, it may defer this action for some time. To aid in speedier debugging, memwatch provides a gc() method to force V8 to do a full GC and heap compaction.

Heap Diffing

For leak isolation, it provides a HeapDiff class that takes two snapshots and computes a diff between them. For example:

// Take first snapshotvarhd=newmemwatch.HeapDiff();// do some things ...// Take the second snapshot and compute the diffvardiff=hd.end();

The contents of diff will look something like:

{"before": {"nodes": 11625,"size_bytes": 1869904,"size": "1.78 mb"},"after": {"nodes": 21435,"size_bytes": 2119136,"size": "2.02 mb"},"change": {"size_bytes": 249232,"size": "243.39 kb","freed_nodes": 197,"allocated_nodes": 10007,"details": [{"what": "String","size_bytes": -2120,"size": "-2.07 kb","+": 3,"-": 62},{"what": "Array","size_bytes": 66687,"size": "65.13 kb","+": 4,"-": 78},{"what": "LeakingClass","size_bytes": 239952,"size": "234.33 kb","+": 9998,"-": 0}]}}

The diff shows that during the sample period, the total number of allocated String and Array classes decreased, but Leaking Class grew by 9998 allocations. Hmmm.

You can use HeapDiff in your on('stats') callback; even though it takes a memory snapshot, which triggers a V8 GC, it will not trigger the stats event itself. Because that would be silly.

Future Work

Please see the Issues to share suggestions and contribute!

License

http://wtfpl.net

About

A NodeJS library to keep an eye on your memory usage, and discover and isolate leaks.

Resources

Stars

6 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors

Languages