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Spice v0.15.1-alpha (July 8, 2024)

ยท 4 min read
Luke Kim
Founder and CEO of Spice AI

The v0.15.1-alpha minor release focuses on enhancing stability, performance, and usability. Memory usage has been significantly improved for the postgres and duckdb acceleration engines which now use stream processing. A new Delta Lake Data Connector has been added, sharing a delta-kernel-rs based implementation with the Databricks Data Connector supporting deletion vectors.

Highlightsโ€‹

Improved memory usage for PostgreSQL and DuckDB acceleration engines: Large dataset acceleration with PostgreSQL and DuckDB engines has reduced memory consumption by streaming data directly to the accelerated table as it is read from the source.

Delta Lake Data Connector: A new Delta Lake Data Connector has been added for using Delta Lake outside of Databricks.

ODBC Data Connector Streaming: The ODBC Data Connector now streams results, reducing memory usage, and improving performance.

GraphQL Object Unnesting: The GraphQL Data Connector can automatically unnest objects from GraphQL queries using the unnest_depth parameter.

Breaking Changesโ€‹

None.

Contributorsโ€‹

What's Changedโ€‹

Dependenciesโ€‹

The MySQL, PostgreSQL, SQLite and DuckDB DataFusion TableProviders developed by Spice AI have been donated to the datafusion-contrib/datafusion-table-providers community repository.

From the v0.15.1-alpha release, a new dependency is taken on datafusion-contrib/datafusion-table-providers

Commitsโ€‹

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.15.0-alpha...v0.15.1-alpha

Resourcesโ€‹

Communityโ€‹

Spice.ai started with the vision to make AI easy for developers. We are building Spice.ai in the open and with the community. Reach out on Discord or by email to get involved.

Spice v0.14.1-alpha (June 24, 2024)

ยท 4 min read
Luke Kim
Founder and CEO of Spice AI

The v0.14.1-alpha release is focused on quality, stability, and type support with improvements in PostgreSQL, DuckDB, and GraphQL data connectors.

Highlightsโ€‹

  • PostgreSQL acceleration and data connector: Support for Composite Types and UUID data types.
  • DuckDB acceleration and data connector: Support for LargeUTF8 and DuckDB functions.
  • GraphQL data connector: Improved error handling on invalid query syntax.
  • Refresh SQL: Improved stability when overwriting STRUCT data types.

Breaking Changesโ€‹

None.

New Contributorsโ€‹

Contributorsโ€‹

  • @lukekim
  • @y-f-u
  • @ewgenius
  • @phillipleblanc
  • @Jeadie
  • @sgrebnov
  • @gloomweaver
  • @phungleson
  • @peasee
  • @digadeesh

What's Changedโ€‹

Dependenciesโ€‹

No major dependency updates.

Commitsโ€‹

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.14.0-alpha...v0.14.1-alpha

Resourcesโ€‹

Communityโ€‹

Spice.ai started with the vision to make AI easy for developers. We are building Spice.ai in the open and with the community. Reach out on Discord or by email to get involved.

Spice.ai v0.7-alpha

ยท 2 min read
Phillip LeBlanc
Co-Founder and CTO of Spice AI

Announcing the release of Spice v0.7-alpha! ๐Ÿน

Spice v0.7-alpha is an all new implementation of Spice written in Rust. The Spice v0.7 runtime provides developers with a unified SQL query interface to locally accelerate and query data tables sourced from any database, data warehouse, or data lake.

Learn more and get started in minutes with the updated Quickstart in the repository README!

Highlights in v0.7-alphaโ€‹

DataFusion SQL Query Engine: Spice v0.7 leverages the Apache DataFusion query engine to provide very fast, high quality SQL query across one or more local or remote data sources.

Data tables can be locally accelerated using Apache Arrow in-memory or by DuckDB.

New in this releaseโ€‹

  • Adds runtime rewritten in Rust for high-performance.
  • Adds Apache DataFusion SQL query engine.
  • Adds The Spice.ai platform as a data source.
  • Adds Dremio as a data source.
  • Adds OpenTelemetry (OTEL) collector.
  • Adds local data table acceleration.
  • Adds DuckDB file or in-memory as a data table acceleration engine.
  • Adds In-memory Apache Arrow as a data table acceleration engine.
  • Removes the built-in AI training engine; now cloud-based and provided by the Spice.ai platform.
  • Removes the built-in dashboard and web-interface; now cloud-based and provided by the Spice.ai platform.

Resourcesโ€‹

Communityโ€‹

Spice.ai started with the vision to make AI easy for developers. We are building Spice.ai in the open and with the community. Reach out on Discord or by email to get involved.