2 posts tagged with "connector"

Announcing the release of Spice v1.0-rc.3 🧊

Spice v1.0.0-rc.3 is the third release candidate for the first major version of Spice.ai OSS. This release continues the focus on production readiness and includes new Iceberg Catalog APIs, DuckDB improvements, and a new Iceberg Catalog Connector.

Highlights in v1.0-rc.3​

• Iceberg Catalog APIs: Spice now functions as an Iceberg Catalog provider, implementing a core subset of the Iceberg Catalog APIs. This enables Iceberg Catalog clients native discovery of datasets and schemas through Spice APIs.

• GET /v1/namespaces - List all catalogs registered in Spice.

• GET /v1/namespaces?parent=catalog - List schemas registered under a given catalog.

• GET /v1/namespaces/:catalog_schema/tables - List tables registered under a given schema.

• GET /v1/namespaces/:catalog_schema/tables/:table - Get the schema of a given table.

• Iceberg Catalog Connector: The Iceberg Catalog Connector is a new integration to discover and query datasets from a remote Iceberg Catalog.

Example connecting to a remote Iceberg Catalog with tables stored in S3:

catalogs:
  - from: iceberg:https://my-iceberg-catalog.com/v1/namespaces
    name: ice
    params:
      iceberg_s3_access_key_id: ${secrets:ICEBERG_S3_ACCESS_KEY_ID}
      iceberg_s3_secret_access_key: ${secrets:ICEBERG_S3_SECRET_ACCESS_KEY}
      iceberg_s3_region: us-east-1

View the Iceberg Catalog Connector documentation for more details.

• DuckDB Improvements: Added cosine_distance support for DuckDB-backed vector search, improved unnest nested type handling for array_element and lists, and optimized query performance.

• SQLite Data Accelerator: Graduated to Release Candidate (RC).

• File Data Accelerator: Graduated to Release Candidate (RC).

The v0.12.1-alpha release introduces a new Snowflake data connector, support for UUID and TimestampTZ types in the PostgreSQL connector, and improved error messages across all data connectors. The Clickhouse data connector enables data streaming by default. The public SQL interface now restricts DML and DDL queries. Additionally, accelerated tables now fully support NULL values, and issues with schema conversion in these tables have been resolved.

Highlights​

• Snowflake Data Connector: Initial support for Snowflake as a data source.

• Clickhouse Data Streaming: Enables data streaming by default, eliminating in-memory result collection.

• Read-only SQL Interface: Disables DML (INSERT/UPDATE/DELETE) and DDL (CREATE/ALTER TABLE) queries for improved data source security.

• Error Message Improvements: Improved the error messages for commonly encountered issues with data connectors.

• Accelerated Tables: Supports NULL values across all data types and fixes schema conversion errors for consistent type handling.