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Optimize loop operations

n8n-io/n8n
Based on 5 comments
Typescript

Avoid repeated computations and object creation in loops or high-frequency operations. Move invariant calculations outside the loop and reuse objects rather than creating new instances on each iteration. This reduces CPU overhead, memory churn, and improves performance in critical code paths.

Performance Optimization Typescript

Reviewer Prompt

Avoid repeated computations and object creation in loops or high-frequency operations. Move invariant calculations outside the loop and reuse objects rather than creating new instances on each iteration. This reduces CPU overhead, memory churn, and improves performance in critical code paths.

Key practices:

  1. Pre-calculate values that don’t change between iterations
  2. Initialize objects before loops when they can be reused
  3. Cache expensive operation results rather than recalculating
  4. Avoid unnecessary object creation with spreads or concatenations

Example - Before:

const searchByName = (query: string, limit: number = 20): NodeSearchResult[] => {
  const normalizedQuery = query.toLowerCase();
  const results: NodeSearchResult[] = [];

  for (const nodeType of this.nodeTypes) {
    // Name is lowercased on every iteration
    if (nodeType.name.toLowerCase().includes(normalizedQuery)) {
      // Score calculation logic...
    }
  }
  // ...
};

After:

// Pre-calculate lowercase names when loading node types
const initNodeTypes = (types) => {
  return types.map(type => ({
    ...type,
    nameLower: type.name.toLowerCase(),
  }));
};

const searchByName = (query: string, limit: number = 20): NodeSearchResult[] => {
  const normalizedQuery = query.toLowerCase();
  const results: NodeSearchResult[] = [];

  for (const nodeType of this.nodeTypes) {
    // Use pre-calculated lowercase name
    if (nodeType.nameLower.includes(normalizedQuery)) {
      // Score calculation logic...
    }
  }
  // ...
};
5
Comments Analyzed
Typescript
Primary Language
Performance Optimization
Category

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