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SQL queries and database management

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Spice v1.1.2 (Apr 14, 2025)

· 3 min read
Phillip LeBlanc
Phillip LeBlanc
Co-Founder and CTO of Spice AI

Announcing the release of Spice v1.1.2! 🔗

Spice v1.1.2 improves Delta Lake Data Connector performance, introduces new Accept headers for the /v1/sql and /v1/nsql endpoints to include query metadata with results, and resolves an issue with the Snowflake Data Connector when handling wide tables (>600 columns).

The official Tableau Connector for Spice.ai v0.1 has been released, making it easy to connect to both self-hosted Spice.ai and Spice Cloud instances using Tableau.

What's New in v1.1.2​

Query Spice.ai using Tableau

  • Delta Lake Data Connector: Upgraded delta_kernel to v0.9, and optimized scan operations, reducing query execution time by up to 20% on large datasets.

  • Snowflake Data Connector: Fixed a bug that caused failures when loading tables with more than 600 columns.

  • Query Metadata (SQL and NSQL): Added support for the application/vnd.spiceai.sql.v1+json Accept header on the /v1/sql endpoint, and the application/vnd.spiceai.nsql.v1+json Accept header on the /v1/nsql endpoint, enabling responses to include metadata such as the executed SQL query and schema alongside results.

Example:

curl -XPOST "http://localhost:8090/v1/nsql" \
  -H "Content-Type: application/json" \
  -H "Accept: application/vnd.spiceai.nsql.v1+json" \
  -d '{
    "query": "What’s the highest tip any passenger gave?"
  }' | jq

Example response:

{
  "row_count": 1,
  "schema": {
    "fields": [
      {
        "name": "highest_tip",
        "data_type": "Float64",
        "nullable": true,
        "dict_id": 0,
        "dict_is_ordered": false,
        "metadata": {}
      }
    ],
    "metadata": {}
  },
  "data": [
    {
      "highest_tip": 428.0
    }
  ],
  "sql": "SELECT MAX(\"tip_amount\") AS \"highest_tip\"\nFROM \"spice\".\"public\".\"taxi_trips\""
}

For details, see the SQL Query API and NSQL API documentation.

Contributors​

Breaking Changes​

No breaking changes in this release.

Cookbook Updates​

No major cookbook additions.

The Spice Cookbook now includes 65 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.1.2, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.1.2 image:

docker pull spiceai/spiceai:1.1.2

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

What's Changed​

Dependencies​

Changelog​

  • Backport - Fix schema inference for Snowflake tables with large number of columns #5348 by @ewgenius in #5350
  • Upgrade delta_kernel to 0.9 (#5343) by @phillipleblanc in #5356
  • Add basic support for application/vnd.spiceai.sql.v1+json format (#5333) by @sgrebnov in #5333
  • Convert DataFusion filters to Delta Kernel predicates by @phillipleblanc in #5362
  • revert to previous pdf-extract; remove test for encrypted pdf support by @kczimm in #5355
  • Turn off delta_kernel::log_segment logging and refactor log filtering by @phillipleblanc in #5367
  • Extend application/vnd.spiceai.sql.v1+json with schema and row_count fields by @sgrebnov in #5365
  • Make separate vnd.spiceai.sql.v1+json and vnd.spiceai.nsql.v1+json MIME types by @sgrebnov in #5382

Full Changelog: v1.1.1...v1.1.2

Spice v0.13-alpha (May 20, 2024)

· 4 min read
Jack Eadie
Jack Eadie
Token Plumber at Spice AI

The v0.13.0-alpha release significantly improves federated query performance and efficiency with Query Push-Down. Query push-down allows SQL queries to be directly executed by underlying data sources, such as joining tables using the same data connector. Query push-down is supported for all SQL-based and Arrow Flight data connectors. Additionally, runtime metrics, including query duration, collected and accessed in the spice.runtime.metrics table. This release also includes a new FTP/SFTP data connector and improved CSV support for the S3 data connector.

Highlights​

  • Federated Query Push-Down (#1394): All SQL and Arrow Flight data connectors support federated query push-down.

  • Runtime Metrics (#1361): Runtime metric collection can be enabled using the --metrics flag and accessed by the spice.runtime.metrics table.

  • FTP & SFTP data connector (#1355) (#1399): Added support for using FTP and SFTP as data sources.

  • Improved CSV support (#1411) (#1414): S3/FTP/SFTP data connectors support CSV files with expanded CSV options.

Contributors​

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

What's Changed​

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.12.2-alpha...v0.13.0-alpha

Resources​

Community​

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 v0.12.1-alpha (May 6, 2024)

· 4 min read
Phillip LeBlanc
Phillip LeBlanc
Co-Founder and CTO of Spice AI

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.

Contributors​

  • @ahirner
  • @y-f-u
  • @sgrebnov
  • @ewgenius
  • @Jeadie
  • @gloomweaver
  • @Sevenannn
  • @digadeesh
  • @phillipleblanc

What's Changed​

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.12.0-alpha...v0.12.1-alpha

Resources​

Community​

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 v0.11-alpha (April 15, 2024)

· 4 min read
Sergei Grebnov
Sergei Grebnov
Senior Software Engineer at Spice AI

The Spice v0.11-alpha release significantly improves the Databricks data connector with Databricks Connect (Spark Connect) support, adds the DuckDB data connector, and adds the AWS Secrets Manager secret store. In addition, enhanced control over accelerated dataset refreshes, improved SSL security for MySQL and PostgreSQL connections, and overall stability improvements have been added.

Highlights in v0.11-alpha​

DuckDB data connector: Use DuckDB databases or connections as a data source.

AWS Secrets Manager Secret Store: Use AWS Secrets Managers as a secret store.

Custom Refresh SQL: Specify a custom SQL query for dataset refresh using refresh_sql.

Dataset Refresh API: Trigger a dataset refresh using the new CLI command spice refresh or via API.

Expanded SSL support for Postgres: SSL mode now supports disable, require, prefer, verify-ca, verify-full options with the default mode changed to require. Added pg_sslrootcert parameter for setting a custom root certificate and the pg_insecure parameter is no longer supported.

Databricks Connect: Choose between using Spark Connect or Delta Lake when using the Databricks data connector for improved performance.

Improved SSL support for Postgres: ssl mode now supports disable, require, prefer, verify-ca, verify-full options with default mode changed to require. Added pg_sslrootcert parameter to allow setting custom root cert for postgres connector, pg_insecure parameter is no longer supported as redundant.

Internal architecture refactor: The internal architecture of spiced was refactored to simplify the creation data components and to improve alignment with DataFusion concepts.

New Contributors​

@edmondop's first contribution github.com/spiceai/spiceai/pull/1110!

Contributors​

  • @phillipleblanc
  • @Jeadie
  • @ewgenius
  • @sgrebnov
  • @y-f-u
  • @lukekim
  • @digadeesh
  • @Sevenannn
  • @gloomweaver
  • @ahirner

New in this release​

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.10.2-alpha...v0.11.0-alpha

Resources​

Community​

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.