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Spice v0.18.1-beta (Sep 23, 2024)

ยท 6 min read
Sergei Grebnov
Senior Software Engineer at Spice AI

Announcing the release of Spice v0.18.1-beta. ๐ŸŽ๏ธ

The v0.18.1-beta release continues to improve runtime performance and reliability. Performance for accelerated queries joining multiple datasets has been significantly improved with join push-down support. GraphQL, MySQL, and SharePoint data connectors have better reliability and error handling, and a new Microsoft SQL Server data connector has been introduced. Task History now has fine-grained configuration, including the ability to disable the feature entirely. A new spice search CLI command has been added, enabling development-time embeddings-based searches across datasets.

Highlights in v0.18.1-betaโ€‹

Join push-down for accelerations: Queries to the same accelerator will now push-down joins, significantly improving acceleration performance for queries joining multiple tables.

Microsoft SQL Server Data Connector: Use from: mssql: to access and accelerate Microsoft SQL Server datasets.

Example spicepod.yml:

datasets:
- from: mssql:path.to.my_dataset
name: my_dataset
params:
mssql_connection_string: ${secrets:mssql_connection_string}

See the Microsoft SQL Server Data Connector documentation.

Task History: Task History can be configured in the spicepod.yml, including the ability to include, or truncate outputs such as the results of a SQL query.

Example spicepod.yml:

runtime:
task_history:
enabled: true
captured_output: truncated
retention_period: 8h
retention_check_interval: 15m

See the Task History Spicepod reference for more information on possible values and behaviors.

Search CLI Command Use the spice search CLI command to perform embeddings-based searches across search configure datasets. Note: Search requires the ai feature to be installed.

Refresh on File Changes: File Data Connector data refreshes can be configured to be triggered when the source file is modified through a file system watcher. Enable the watcher by adding file_watcher: enabled to the acceleration parameters.

Example spicepod.yml:

datasets:
- from: file://path/to/my_file.csv
name: my_file
acceleration:
enabled: true
refresh_mode: full
params:
file_watcher: enabled

Spice v0.18-beta (Sep 16, 2024)

ยท 6 min read
Sergei Grebnov
Senior Software Engineer at Spice AI

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-betaโ€‹

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.