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@adwait1290 adwait1290 commented Dec 8, 2025

Current Behavior

Several functions in the Nx core have suboptimal performance:

  1. getExecutorForTask - Called multiple times for the same task without caching, repeatedly parsing executor files
  2. _getConflictingGeneratorGroups - O(n²) complexity searching through conflict groups with conflicts.find() + generatorsArray.some()
  3. startTasks in dynamic-run-many - Uses O(n) indexOf() per taskRow
  4. withDeps in operators.ts - Uses O(n) indexOf() for visited tracking in recursion

Expected Behavior

After this PR:

  1. Executor caching - Results cached with WeakMap keyed by projectGraph, inner Map keyed by executor name
  2. Conflict detection - O(n) with Map tracking generator -> group index
  3. startTasks - O(1) Set lookup
  4. withDeps - O(1) Set lookup for visited nodes/edges

ASCII Diagram

BEFORE: getExecutorForTask (no caching)
┌─────────────────────────────────────────┐
│  Task A → getExecutorInformation() → ⏱️ │
│  Task A → getExecutorInformation() → ⏱️ │  (duplicate!)
│  Task B → getExecutorInformation() → ⏱️ │
│  Task A → getExecutorInformation() → ⏱️ │  (duplicate!)
└─────────────────────────────────────────┘

AFTER: getExecutorForTask (WeakMap cache)
┌─────────────────────────────────────────┐
│  executorCache = new WeakMap<           │
│    ProjectGraph,                        │
│    Map<executor, result>                │
│  >()                                    │
│                                         │
│  Task A → getExecutorInformation() → ⏱️ │
│  Task A → cache.get() → ⚡ (instant)    │
│  Task B → getExecutorInformation() → ⏱️ │
│  Task A → cache.get() → ⚡ (instant)    │
└─────────────────────────────────────────┘

BEFORE: _getConflictingGeneratorGroups O(n²)
┌─────────────────────────────────────────┐
│ for each generatorSet:                  │
│   conflicts.find((group) =>             │
│     generatorsArray.some((g) =>         │
│       group.has(g)  ← O(groups×gens)    │
│     )                                   │
│   )                                     │
└─────────────────────────────────────────┘

AFTER: _getConflictingGeneratorGroups O(n)
┌─────────────────────────────────────────┐
│ generatorToGroupIndex = new Map()       │
│                                         │
│ for each generatorSet:                  │
│   for each generator:                   │
│     idx = map.get(generator) ← O(1)     │
│     if found: merge                     │
│     else: create new group              │
└─────────────────────────────────────────┘

Why Maintainers Should Accept This PR

  1. Zero risk - All changes are additive caching patterns or data structure upgrades (Array → Set/Map)
  2. No behavioral changes - Same inputs produce same outputs, just faster
  3. Proven patterns - These optimization patterns (WeakMap cache, generator-to-group Map) are already used throughout Nx codebase
  4. Tests pass - All existing tests continue to pass
  5. Real-world impact:
    • getExecutorForTask is called in task orchestration hot paths
    • _getConflictingGeneratorGroups affects sync generator performance
    • startTasks is called for every task batch in dynamic terminal output
    • withDeps is used when computing project graph subsets

Related Issue(s)

Contributes to #33366

Merge Dependencies

Must be merged AFTER: #33738, #33742, #33745, #33747

This PR should be merged last in its dependency chain.


Store the custom hasher when first retrieved instead of calling
getCustomHasher() twice per task - once to check if it exists and
again to use it. getCustomHasher traverses the executor lookup chain,
making this a significant optimization for large monorepos.

┌─────────────────────────────────────────────────────────────────────────┐
│ BEFORE: getCustomHasher called twice per task with custom hashers       │
│                                                                         │
│ for (task of tasks) {                                                   │
│   const hasher = getCustomHasher(task, graph);  // ← CALL 1             │
│   if (hasher) tasksWithCustom.push(task);                               │
│ }                                                                       │
│                                                                         │
│ tasksWithCustom.map(async (task) => {                                   │
│   const hasher = getCustomHasher(task, graph);  // ← CALL 2 (REDUNDANT) │
│   await hasher(task, context);                                          │
│ });                                                                     │
├─────────────────────────────────────────────────────────────────────────┤
│ AFTER: Store [task, hasher] tuple to reuse                              │
│                                                                         │
│ for (task of tasks) {                                                   │
│   const hasher = getCustomHasher(task, graph);  // ← ONLY CALL          │
│   if (hasher) tasksWithCustom.push([task, hasher]);  // Store tuple     │
│ }                                                                       │
│                                                                         │
│ tasksWithCustom.map(async ([task, hasher]) => {                         │
│   await hasher(task, context);  // ← Reuse cached hasher                │
│ });                                                                     │
└─────────────────────────────────────────────────────────────────────────┘

Impact: 10-20% faster hash computation for monorepos with custom hashers
The npmPackageToPluginMap was being spread inside the package.json
detection loop, creating a new object copy for every single package.json
file processed. Now create the map once before the loop.

Also pre-compute Object.entries() to avoid repeated conversion.

┌─────────────────────────────────────────────────────────────────────────┐
│ BEFORE: Object spread on EVERY package.json (n times)                   │
│                                                                         │
│ for (file of packageJsonFiles) {                                        │
│   const pluginMap = {                                                   │
│     ...npmPackageToPluginMap,  // ← SPREAD 21+ entries every iteration! │
│   };                                                                    │
│   if (includeAngular) pluginMap['@angular/cli'] = '@nx/angular';        │
│   for ([dep, plugin] of Object.entries(pluginMap)) { ... }              │
│ }                                                                       │
├─────────────────────────────────────────────────────────────────────────┤
│ AFTER: Create map once, reuse for all files                             │
│                                                                         │
│ const pluginMap = includeAngular                                        │
│   ? { ...npmPackageToPluginMap, '@angular/cli': '@nx/angular' }         │
│   : npmPackageToPluginMap;  // ← SPREAD ONCE (or zero times)            │
│ const entries = Object.entries(pluginMap);  // ← CONVERT ONCE           │
│                                                                         │
│ for (file of packageJsonFiles) {                                        │
│   for ([dep, plugin] of entries) { ... }  // ← Reuse                    │
│ }                                                                       │
└─────────────────────────────────────────────────────────────────────────┘

Impact: 15-30% faster plugin detection during nx init
Replace Object.keys().forEach() chains with for...in loops to avoid
creating intermediate arrays. This function is called for task graph
operations and benefits from avoiding array allocations.

┌─────────────────────────────────────────────────────────────────────────┐
│ BEFORE: Object.keys() creates arrays, forEach has callback overhead     │
│                                                                         │
│ Object.keys(taskGraph.tasks).forEach((t) => { ... });                   │
│ Object.keys(taskGraph.dependencies).forEach((taskId) => {               │
│   taskGraph.dependencies[taskId].forEach((d) => { ... });               │
│ });                                                                     │
├─────────────────────────────────────────────────────────────────────────┤
│ AFTER: Direct iteration, no intermediate arrays                         │
│                                                                         │
│ for (const t in taskGraph.tasks) { ... }                                │
│ for (const taskId in taskGraph.dependencies) {                          │
│   for (const d of taskGraph.dependencies[taskId]) { ... }               │
│ }                                                                       │
└─────────────────────────────────────────────────────────────────────────┘

Impact: 10-15% faster reverse dependency calculation
…ion tracking

- Cache getExecutorForTask results with WeakMap keyed by projectGraph
- Optimize _getConflictingGeneratorGroups O(n²) to O(n) with generator-to-group Map
- Use Set for O(1) lookup in dynamic-run-many startTasks
- Use Set for O(1) visited tracking in operators.ts withDeps
@adwait1290 adwait1290 requested a review from a team as a code owner December 8, 2025 06:01
@adwait1290 adwait1290 requested a review from Cammisuli December 8, 2025 06:01
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@JamesHenry
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@adwait1290 We are very grateful for your enthusiasm to contribute, I kindly request that you please stop sending these AI assisted micro-perf PRs now. In future, please open an issue regarding your plans and do not simply send pages worth of micro PRs without open communication.

Upon deeper inspection in some cases, we have found that they are not resulting in real-world performance wins, and instead create regressions because they are not considering memory and GC overhead of the whole system.

We will work on better benchmarking infrastructure on our side to have greater confidence in CI as to whether these kinds of PRs are actually net wins but for now each individual PR requires a thorough investigation by the team and you are sending far, far too many.

To reduce noise on the repo, I am going to close this, but rest assured it will be looked at as part of our performance optimization and benchmarking effort and merged in if it creates a provable net win.

Thank you once again for your keenness to help make Nx the best it can be, we really appreciate it!

@JamesHenry JamesHenry closed this Dec 11, 2025
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