What Are the Differences Between External Tables and Native Tables?
Native table: A table stored in DLC-managed storage (defaulting to Iceberg format). Using native tables eliminates the need to manage underlying Iceberg files and provides data optimization capabilities to help build your data lake.
External table: A table resides in your own COS buckets or third-party storage. DLC can directly establish external tables to analyze without loading data.
Does DLC Support Data Scheduling?
Does DLC Support Self-Service Upload of JAR Packages to Define Custom Spark Functions?
Yes. It is supported.
Do Metadata-Accelerated Buckets Support CDN?
Accelerated buckets are not supported, but standard buckets are supported.
What Is the Difference Between Metadata-Accelerated Buckets and Standard COS Buckets?
The difference is that metadata-accelerated buckets deliver significant performance improvements for common file operations like RENAME and LIST in big data analysis scenarios.
Does Data Storage Require Binding Engine Permissions?
Metadata-accelerated buckets require binding engine permissions, while standard COS buckets do not.
Can a Single COS Buckets Be Bound to Multiple DLC Data Engines?
Yes.