Parquet
Use this contract for Parquet dataset results. It is designed for data engineering and analytics workflows where teams need schema inspection, dataset profiling, lakehouse ingestion, feature extraction, and validation over columnar data.Top-level envelope
Document fields
Universal content/block shape
Every public content record uses the same base shape.
Common record types include
schema_node, column, row_group, row, column_chunk, statistics, key_value_metadata, semantic_tag, and diagnostic.
Warnings
warningsis always present.- Use plain strings.
- Keep warnings human-readable.
- Surface recoverable issues without changing the public shape.
What clients can rely on
- Schema order stays stable.
- Row-group and row order stay stable.
- Raw metadata and summary values remain separate.
- Additive fields do not break older clients.
- The public contract does not expose internal transport or worker details.

