BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Aug 3·5 min read
Ingest semi-structured data faster and more efficiently with Variant - Now Generally Available
TL;DR
Databricks has launched the Variant data type, enabling faster ingestion of semi-structured data like JSON and XML without sacrificing query performance. This innovation allows data teams to flexibly manage schema changes and optimize their data pipelines.
✦ Why It Matters
Start using Variant today to streamline your semi-structured data ingestion and improve query performance.
Key Takeaways
- Utilize Variant for flexible ingestion of semi-structured data.
- Leverage Variant Shredding for improved query performance.
- Implement Predictive Optimization to enhance data processing.
- Explore Genie Code for easy pipeline setup.
How It Works
Variant Shredding organizes common fields into columns within Parquet files, allowing for faster queries. Predictive Optimization analyzes user workloads to identify critical fields, improving file skipping and reducing unnecessary data scans.