Data Management
Data management components provide advanced data manipulation, updating, and management capabilities for comprehensive data operations.
Update Data
This component dynamically updates or appends data with specified fields.
Usage
Update Data functionality:
Dynamic field addition
Data modification
Field validation
Batch updates
Metadata management
Inputs
old_data
Data
The records to update
number_of_fields
Number of Fields
Number of fields to add (max 15)
text_key
Text Key
Key for text content
text_key_validator
Text Key Validator
Validates text key presence
Outputs
Field Management
The Update Data component provides flexible field management:
Dynamic Fields
Add up to 15 new fields
Configurable field names and values
Type validation
Default value assignment
Field Types
Text Fields: String data
Numeric Fields: Integer and float values
Boolean Fields: True/false values
JSON Fields: Complex structured data
Array Fields: List data structures
Validation Features
Text Key Validation: Ensures required text keys exist
Type Checking: Validates field data types
Range Validation: Numeric range constraints
Pattern Matching: Regular expression validation
Required Fields: Mandatory field enforcement
Usage Examples
Adding User Metadata
Field 1: user_id (Text)
Field 2: timestamp (Text)
Field 3: status (Text)
Field 4: priority (Numeric)Document Processing
Field 1: processed_date (Text)
Field 2: word_count (Numeric)
Field 3: language (Text)
Field 4: confidence_score (Numeric)Data Enrichment
Field 1: enriched_flag (Boolean)
Field 2: source_system (Text)
Field 3: processing_time (Numeric)
Field 4: quality_score (Numeric)Usage Notes
Flexible Updates: Support for various field types and structures
Validation: Built-in validation for data integrity
Batch Operations: Efficient processing of multiple records
Type Safety: Maintains data type consistency
Metadata Preservation: Preserves existing data while adding new fields
Performance Optimized: Efficient field addition and validation
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