Comprehensive guide for BlazeMeter Test Data Management, including data entities, parameters, generation, orchestration, and management operations. Use when working with test data for (1) Creating and managing data entities and parameters, (2) Generating synthetic test data with seed lists and functions, (3) Using test data in tests (CSV, Data Entities), (4) Managing test data (backup, import/export, sharing), (5) Using Test Data Orchestration and Profiler, (6) Working with Test Data Pro, or an…
Comprehensive guide for BlazeMeter Test Data Management, including data entities, parameters, generation, orchestration, and management operations.
Use when working with test data for (1) Creating and managing data entities and parameters, (2) Generating synthetic test data with seed lists and functions, (3) Using test data in tests (CSV, Data Entities), (4) Managing test data (backup, import/export, sharing), (5) Using Test Data Orchestration and Profiler, (6) Working with Test Data Pro, or any other Test Data Management tasks.
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SKILL.md
BlazeMeter Test Data Management
Comprehensive guide for creating, managing, and using test data in BlazeMeter tests.
Overview
Test Data Management in BlazeMeter enables data-driven testing with CSV files, Data Entities, synthetic data generation, and orchestration. This skill covers all aspects of test data from basic concepts to advanced management operations.
Quick Start
Core Concepts: Understand Data Entities and Data Parameters
Generation: Create synthetic test data with seed lists and functions
Management: Manage entities, spreadsheets, and parameters
Orchestration: Prepare test environments with Test Data Orchestration
Pro: Use Test Data Pro for AI-driven data generation
MCP Tools Integration
Test Data entities are managed through the BlazeMeter UI, but you can use MCP tools to manage tests that use test data:
Available MCP Tools
Test Management:
- blazemetertests with action read - Read test details including test data configuration - blazemetertests with action list - List all tests in a project - Required args: testid (integer) or projectid (integer) - Returns: Test details including test data entity references
Test Execution:
- blazemeterexecution with action read - Read execution details for tests using test data - blazemeterexecution with action list - List all executions for a test - Required args: executionid (integer) or testid (integer) - Returns: Execution details and results
When to Use MCP Tools
Test Management: Manage tests that use test data programmatically
Execution Monitoring: Monitor test executions using test data
Automation: Integrate test data testing into automation workflows
Reporting: Generate reports on tests using test data
Example Workflow
Managing Tests with Test Data:
Use blazemeter_tests with action list to find tests using test data
Use blazemeter_tests with action read to get test details and test data configuration
Use blazemeter_execution with action read to monitor test execution
Review execution results to verify test data usage
Reference Files
Core Concepts
[core-concepts.md](skill-blazemeter-test-data://references/core-concepts.md): What are Data Entities and Data Parameters, How to Use, Share, How to Parameterize, How to Use Parameters in Tests, Load from Spreadsheets
Management
[management.md](skill-blazemeter-test-data://references/management.md): How to Find Usages, How to Back Up, How to Manage Spreadsheets, How to Manage Data Parameters, How to Manage Entities, How to Configure CSV, How to Troubleshoot, How to Preview, Settings, Share Entities Within Workspace, Share Spreadsheets Within Workspace, Unshare, Import Export, How to Add Entity
Generation
[generation.md](skill-blazemeter-test-data://references/generation.md): Generator Functions Seed Lists, How to Randomize, Variants, Negative Chaos Testing
Orchestration
[orchestration.md](skill-blazemeter-test-data://references/orchestration.md): Test Data Orchestration, Profiler
Pro
[pro.md](skill-blazemeter-test-data://references/pro.md): Test Data Pro, Test Data Pro FAQ
When to Use Each Reference
Core Concepts: When learning about data entities, parameters, and basic usage
Management: When managing, backing up, sharing, or troubleshooting test data
Generation: When creating synthetic test data with functions and seed lists
Orchestration: When preparing test environments or profiling scripts
Pro: When using Test Data Pro for AI-driven data generation