4 posts tagged with "s3"

🎉 After 47 releases, Spice.ai OSS has reached production readiness with the 1.0-stable milestone!

The core runtime and features such as query federation, query acceleration, catalog integration, search and AI-inference have all graduated to stable status along with key component graduations across data connectors, data accelerators, catalog connectors, and AI model providers.

Highlights in v1.0-stable​

• Stable Data Connectors: The following data connectors have graduated to Stable:

  • Delta Lake
  • MySQL
  • Dremio
  • PostgreSQL
  • Databricks (mode: delta_lake)
  • DuckDB
  • S3

• Stable Data Accelerators: The following data accelerators have graduated to Stable:

  • DuckDB
  • Arrow

• Unity Catalog Connector: Graduated to Stable.

• Databricks (mode: spark_connect) Data Connector: Graduated to Beta.

• Beta Catalog Connectors: The Iceberg and Databricks catalog connectors graduated to Beta.

• OpenAI Model & Embeddings Provider: Graduated to Release Candidate (RC).

• Alpha Model Providers: The Anthropic and xAI (Grok) model providers graduated to Alpha.

Breaking Changes​

• Default Runtime Version: The CLI will install the GPU accelerated AI-capable Runtime by default (if supported), when running spice install or spice run. To force-install the non-GPU version, run spice install ai --cpu.

• Default OpenAI Model: The default OpenAI model has updated to gpt-4o-mini.

• Identifier Normalization: Unquoted identifiers such as table names are no longer normalized to lowercase. Identifiers will now retain their exact case as provided.

• Sandboxed Docker Image: The Runtime Docker Image now runs the spiced process as the nobody user in a minimal chroot sandbox.

• Insecure S3 and ABFS endpoints: The S3 and ABFS connectors now enforce insecure endpoint checks, preventing HTTP endpoints unless allow_http is explicitly enabled. Refer to the documentation for details.

Announcing the release of Spice v0.20-beta 🧩

Spice v0.20.0-beta improves federated query performance with column pruning and adds support for Metal (Apple Silicon) and CUDA (NVidia) accelerators. The S3, PostgreSQL, MySQL, and GitHub Data Connectors have graduated from Beta to Release Candidates. The Arrow, DuckDB, and SQLite Data Accelerators have graduated from Alpha to Beta.

Highlights in v0.20.0-beta​

Data Connectors: The S3, PostgreSQL, MySQL, and GitHub Data Connectors have graduated from beta to release candidate.

Data Accelerators: The Arrow, DuckDB, and SQLite Data Accelerators have graduated from alpha to beta.

Metal and CUDA Support: Added support for Metal (Apple Silicon) and CUDA (NVidia) for AI/ML workloads including embeddings and local LLM inference.

For instructions on compiling a Meta or CUDA binary, see the Installation Docs.

Announcing the release of Spice v0.18-beta.

The v0.18.0-beta release adds new Sharepoint and File data connectors, introduces AWS Identity and Access Management (IAM) support for the S3 Data Connector, improves performance of the GitHub connector, and increases the overall reliability of all data accelerators. The /ready API endpoint was enhanced to report as ready only when all components, including loaded data, have successfully reported readiness.

Highlights in v0.18.0-beta​

Sharepoint Data Connector: Use from: sharepoint: to access and accelerate documents stored in Microsoft 365 OneDrive for Business (Sharepoint). The CLI also includes a new spice login sharepoint to aid in local development and testing.

Example spicepod.yml:

datasets:
  - from: sharepoint:drive:Documents/path:/important_documents/
    name: important_documents
    params:
      sharepoint_client_id: ${secrets:SPICE_SHAREPOINT_CLIENT_ID}
      sharepoint_tenant_id: ${secrets:SPICE_SHAREPOINT_TENANT_ID}
      sharepoint_client_secret: ${secrets:SPICE_SHAREPOINT_CLIENT_SECRET}

See the Sharepoint Data Connector documentation.

AWS Identity and Access Management (IAM) for S3: A new s3_auth parameter for the s3 data connector to configure the authentication method to use when connecting to S3. Supported values are public, key, and iam_role. Use s3_auth: iam_role to assume the instance IAM role.

Example spicepod.yml:

datasets:
  - from: s3://my-bucket
    name: bucket
    params:
      s3_auth: iam_role # Assume IAM role of instance

See the S3 Data Connector documentation.

File Data Connector Use from: file: to query files stored by locally accessible filesystems.

Example spicepod.yml:

datasets:
  - from: file://path/to/customer.parquet
    name: customer
    params:
      file_format: parquet

See the File Data Connector documentation.

Improved /ready Api Now includes the initial data load for accelerated datasets in addition to component readiness to ensure readiness is only reported when data has loaded and can be successfully queried.

Announcing the release of Spice v0.10-alpha! 🧙‍♂️

The Spice.ai v0.10-alpha release focused on additions and updates to improve stability, usability, and the overall Spice developer experience.

Highlights in v0.10-alpha​

Public Bucket Support for S3 Data Connector: The S3 Data Connector now supports public buckets in addition to buckets requiring an access id and key.

JDBC-Client Connectivity: Improved connectivity for JDBC clients, like Tableau.

User Experience Improvements:

• Friendlier error messages across the board to make debugging and development better.
• Added a spice login postgres command, streamlining the process for connecting to PostgreSQL databases.
• Added PostgreSQL connection verification and connection string support, enhancing usability for PostgreSQL users.

Grafana Dashboard: Improving the ability to monitor Spice deployments, a standard Grafana dashboard is now available.