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dhis2-query-optimization

Official

Optimize large DHIS2 queries with safe chunking.

Data & Analytics#scalability#api#data-analytics#query-optimization#chunking#retry#dhis2
AuthorBLSQ
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps teams avoid failed DHIS2 queries by chunking requests and estimating complexity.

Core Features & Use Cases

  • Adaptive chunking: split large analytics requests by org units, periods, or data elements to stay within server limits.
  • URL length handling and timeout resilience: automatically detect long URLs and apply safe fallbacks and retries.
  • Practical workflows: use when querying large datasets, using children=True, or when queries fail with timeouts.

Quick Start

Configure your Python DHIS2 client and run an adaptive analytics example with a large set of org units, periods, and data elements to observe dynamic chunking.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: dhis2-query-optimization
Download link: https://github.com/BLSQ/mcp_servers/archive/main.zip#dhis2-query-optimization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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