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Creating data formats manually

Overview

This guide explains how to create data formats from the ground up in NoCode-X, giving you complete control over your data structure. We'll cover the creation process, configuration options, and troubleshooting steps.

Functionality

Data formats in NoCode-X serve as templates for organizing and structuring your data. They allow you to:

  • Define custom data structures
  • Set required and optional fields
  • Specify data types and validations
  • Create reusable templates

Step-by-Step Guide

Creating a New Data Format​

  1. Navigate to Data Formats
    • Access the "Data Format Overview" section
    • Click the "Create" button
    • Select "Blank" for a new format

Create data format

  1. Define Structure
    • Add necessary fields
    • Specify data types for each field
    • Set required/optional status
    • Configure field validations

Data format attributes

  1. Save and Verify
    • Review all settings
    • Save the configuration
    • Test the format with sample data

Advanced Configuration

Data Format Attributes​

  • Name: Unique identifier for the format
  • Description: Detailed explanation of the format's purpose
  • Version: Format version number
  • Status: Active/Inactive state

Field Properties​

  • Data Types: String, Number, Boolean, Date, etc.
  • Validation Rules: Format, range, pattern matching
  • Default Values: Preset values for fields
  • Dependencies: Relationships between fields

Troubleshooting Guide

Common Issues​

  1. Format Validation Errors

    • Check field type compatibility
    • Verify required fields are properly marked
    • Ensure validation rules are correctly set

  2. Integration Problems

    • Confirm format compatibility
    • Check for missing dependencies
    • Verify field mappings

  3. Performance Issues

    • Optimize complex validations
    • Review field dependencies
    • Check for circular references

Best Practices​

  • Use clear, descriptive names
  • Document format purpose and usage
  • Test with various data scenarios
  • Maintain version control
  • Regular format reviews and updates

Additional Resources

  • More information on data format attributes can be found Data format