Optimize Entity Query output for ForEach loop processing

Summary

The Entity Query node's output is optimized for use with the ForEach loop node, enabling efficient batch processing of query results.

Business Value

• Enables batch processing workflows with minimal configuration
• Provides consistent data structure for iteration
• Supports both lightweight (IDs only) and full entity processing
• Optimizes memory usage for large result sets

Results Array Structure

Each item in the results array contains:

• id: Entity ID
• uuid: Entity UUID
• label: Entity label/title
• bundle: Entity bundle (content type)
• entity_type: Entity type (when load_entities=false)
• entity: Full serialized entity (when load_entities=true)

Processing Patterns

• Lightweight: Query IDs only, load entities individually in loop for memory efficiency
• Bulk: Load all entities upfront for faster processing of smaller sets
• Paginated: Use offset/limit with has_more flag for processing large datasets

Example Workflow Pattern

1. Entity Query node queries articles modified in last 24 hours
2. ForEach loop iterates over results array
3. Inside loop: process, transform, or validate each entity
4. Entity Save node persists changes