1c-query-optimization

Optimize 1C:Enterprise queries with temporary tables, joins, and virtual tables.

151|20|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/Jefest9988/1c-ai-development-kit --skill 1c-query-optimization-jefest9988
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 1c-query-optimization
Source: https://github.com/Jefest9988/1c-ai-development-kit/tree/main/.cursor/skills/1c-query-optimization
Command: npx skills add https://github.com/Jefest9988/1c-ai-development-kit --skill 1c-query-optimization-jefest9988

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses performance bottlenecks in 1C:Enterprise queries by providing advanced optimization patterns, helping developers write more efficient and faster data retrieval logic.

Core Features & Use Cases

  • Advanced Query Patterns: Demonstrates best practices for temporary tables, joins, and virtual table usage.
  • DCS Optimization: Offers strategies for optimizing Data Composition System queries.
  • ITS Standards: Adheres to 1C:Enterprise technical standards for query writing.
  • Use Case: When a complex report is running too slowly, this skill can guide you to rewrite the underlying query using temporary tables and optimized joins to significantly improve execution speed.

Quick Start

Apply the 1c-query-optimization skill to refactor the provided slow query into a more performant version.

Frequently Asked Questions about 1c-query-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize slow 1C:Enterprise queries with temporary tables and joins?

To optimize slow 1C:Enterprise queries, apply advanced patterns for temporary tables, joins, and virtual tables. This approach refactors complex data retrieval logic to significantly improve execution speed and adhere to ITS standards.

What is the best way to optimize DCS reports in 1C?

Optimizing DCS reports in 1C involves applying specific query language constructs and strategies tailored for the Data Composition System. This reduces performance bottlenecks in complex reports and accelerates large dataset processing.

Why does my 1C virtual table query perform poorly on large datasets?

1C virtual table queries perform poorly on large datasets due to inefficient data retrieval logic. Refactoring these queries using advanced temporary table patterns and optimized joins resolves performance bottlenecks.

Can I use this approach to fix any slow 1C query?

Yes, you can use this approach to fix slow 1C queries. It addresses performance issues in complex data retrieval, DCS reports, and large dataset processing by adhering to 1C:Enterprise ITS technical standards.

When do I need temporary tables in 1C query optimization?

You need temporary tables in 1C query optimization when dealing with complex data retrieval and large datasets. Using them with optimized joins and virtual tables significantly improves execution speed and reduces bottlenecks.