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Phillip LeBlanc

Phillip LeBlanc

Co-Founder and CTO of Spice AI
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Spice v1.3.0 (May 19, 2025)

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

Announcing the release of Spice v1.3.0! 🏎️

Spice v1.3.0 accelerates data and AI applications with significantly improved query performance, reliability, and expanded Databricks integration. New support for the Databricks SQL Statement Execution API enables direct SQL queries on Databricks SQL Warehouses, complementing Mosaic AI model serving and embeddings (introduced in v1.2.2) and existing Databricks catalog and dataset integrations. This release upgrades to DataFusion v46, optimizes results caching performance, and strengthens security with least-privilege sandboxed improvements.

What's New in v1.3.0​

  • Databricks SQL Statement Execution API Support: Added support for the Databricks SQL Statement Execution API, enabling direct SQL queries against Databricks SQL Warehouses for optimized performance in analytics and reporting workflows.

    Example spicepod.yml configuration:

    datasets:
      - from: databricks:spiceai.datasets.my_awesome_table
        name: my_awesome_table
        params:
          mode: sql_warehouse
          databricks_endpoint: ${env:DATABRICKS_ENDPOINT}
          databricks_sql_warehouse_id: ${env:DATABRICKS_SQL_WAREHOUSE_ID}
          databricks_token: ${env:DATABRICKS_TOKEN}

    For details, see the Databricks Data Connector documentation.

  • Improved Results Cache Performance & Hashing Algorithm: Spice now supports an alternative results cache hashing algorithm, ahash, in addition to siphash, being the default. Configure it via:

    runtime:
      results_cache:
        hashing_algorithm: ahash # or siphash

    The hashing algorithm determines how cache keys are hashed before being stored, impacting both lookup speed and protection against potential DOS attacks.

    Using ahash improves performance for large queries or query plans. Combined with results cache optimizations, it reduces 99th percentile request latency and increases total requests/second for queries with large result sets (100k+ cached rows). The following charts show performance tested against the TPCH Query #17 on a scale factor 5 dataset (30+ million rows, 5GB):

    LatencyReq/sec
    Improvements for the 99th percentile query latency, compared against 1.2.2 with cache key type and hashing algorithm.Improvements for the requests/second, compared against 1.2.2 with cache key type and hashing algorithm.

    Note: ahash was not available in v1.2.2, so it is excluded from comparisons.

    To learn more, refer to the Results Cache Hashing Algorithm documentation.

  • SQL Query Performance: Optimized the critical SQL query path, reducing overhead and improving response times for simple queries by 10-20%.

  • DuckDB Acceleration: Fixed a bug in the DuckDB acceleration engine causing query failures under high concurrency when querying datasets accelerated into multiple DuckDB files.

  • Container Security: The container image now runs as a non-root user with enhanced sandboxing and includes only essential dependencies for a slimmer, more secure image.

DataFusion v46 Highlights​

Spice.ai is built on the DataFusion query engine. The v46 release brings:

  • Faster Performance 🚀: DataFusion 46 introduces significant performance enhancements, including a 2x faster median() function for large datasets without grouping, 10–100% speed improvements in FIRST_VALUE and LAST_VALUE window functions by avoiding sorting, and a 40x faster uuid() function. Additional optimizations, such as a 50% faster repeat() string function, accelerated chr() and to_hex() functions, improved grouping algorithms, and Parquet row group pruning with NOT LIKE filters, further boost overall query efficiency.

  • New range() Table Function: A new table-valued function range(start, stop, step) has been added to make it easy to generate integer sequences — similar to PostgreSQL’s generate_series() or Spark’s range(). Example: SELECT * FROM range(1, 10, 2);

  • UNION [ALL | DISTINCT] BY NAME Support: DataFusion now supports UNION BY NAME and UNION ALL BY NAME, which align columns by name instead of position. This matches functionality found in systems like Spark and DuckDB and simplifies combining heterogeneously ordered result sets.

    Example:

    SELECT col1, col2 FROM t1
    UNION ALL BY NAME
    SELECT col2, col1 FROM t2;

See the DataFusion 46.0.0 release notes for details.

Spice.ai adopts the latest minus one DataFusion release for quality assurance and stability. The upgrade to DataFusion v47 is planned for Spice v1.4.0 in June.

Contributors​

Breaking Changes​

The container image now always runs as a non-root user (UID/GID 65534) with minimal dependencies, resulting in a smaller, more secure image. Standard Linux tools, including bash, are no longer included.

Kubernetes Deployments:

  • Use of the v1.3.0+ Helm chart is required, which includes a securityContext ensuring the sandbox user has required file access.

  • For deployments using a lower version than the v1.3.0 Helm chart, add the following securityContext to the pod specification:

securityContext:
  runAsUser: 65534
  runAsGroup: 65534
  fsGroup: 65534

See the Docker Sandbox Guide for details on how to update custom Docker images to restore the previous behavior.

Cookbook Updates​

  • Added Accelerated Views: Pre-calculate and materialize data derived from one or more underlying datasets.

The Spice Cookbook now includes 67 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.3.0, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.3.0 image:

docker pull spiceai/spiceai:1.3.0

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

What's Changed​

Dependencies​

Changelog​

See the full list of changes at: v1.2.2...v1.3.0

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 v1.1.1 (Apr 7, 2025)

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

Announcing the release of Spice v1.1.1! 📊

Spice v1.1.1 introduces several key updates, including a new Component Metrics System, improved Delta Data Connector performance, improved MCP tool descriptions, and expanded runtime results caching options. This release also adds detailed MySQL connection pool metrics for better observability. Component Metrics are Prometheus-compatible and accessible via the metrics endpoint.

Highlights v1.1.1​

  • Component Metrics System: A new system for monitoring components, starting with MySQL connection pool metrics. These metrics provide insights into MySQL connection performance and can be selectively enabled in the dataset configuration. Metrics are exposed in Prometheus format via the metrics endpoint.

For more details, see the Component Metrics documentation.

  • Results Caching Enhancements: Added a cache_key_type option for runtime results caching. Options include:
    • plan (Default): Uses the query's logical plan as the cache key. Matches semantically equivalent queries but requires query parsing.
    • sql: Uses the raw SQL string as the cache key. Provides faster lookups but requires exact string matches. Use sql for predictable queries without dynamic functions like NOW().

Example spicepod.yaml configuration:

runtime:
  results_cache:
    enabled: true
    cache_max_size: 128MiB
    cache_key_type: sql # Use SQL for the results cache key
    item_ttl: 1s

For more details, see the runtime configuration documentation.

  • Delta Data Connector: Improved scan performance for faster query performance.

  • MCP Tools: Improved descriptions for built-in MCP tools to improve usability.

  • MySQL Component Metrics: Added detailed metrics for monitoring MySQL connections, such as connection count and pool activity.

Example spicepod.yaml configuration:

datasets:
  - from: mysql:my_table
    name: my_dataset
    metrics:
      - name: connection_count
        enabled: true
      - name: connections_in_pool
        enabled: true
      - name: active_wait_requests
        enabled: true
    params:
      mysql_host: localhost
      mysql_tcp_port: 3306
      mysql_user: root
      mysql_pass: ${secrets:MYSQL_PASS}

For more details, see the MySQL Data Connector documentation.

  • spice.js SDK: The spice.js SDK has been updated to v2.0.1 and includes several important security updates.

New Contributors 🎉​

Contributors​

Breaking Changes​

No breaking changes in this release.

Cookbook Updates​

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

Upgrading​

To upgrade to v1.1.1, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.1.1 image:

docker pull spiceai/spiceai:1.1.1

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

What's Changed​

Dependencies​

  • No major dependency changes.

Changelog​

- fix: Testoperator DuckDB, SQLite, Postgres, Spicecloud by [@peasee](https://github.com/peasee) in [#5190](https://github.com/spiceai/spiceai/pull/5190)
- Update Helm Chart and SECURITY.md to v1.1.0 by [@lukekim](https://github.com/lukekim) in [#5223](https://github.com/spiceai/spiceai/pull/5223)
- Update version.txt to v1.1.1-unstable by [@lukekim](https://github.com/lukekim) in [#5224](https://github.com/spiceai/spiceai/pull/5224)
- Update Cargo.lock to v1.1.1-unstable by [@lukekim](https://github.com/lukekim) in [#5225](https://github.com/spiceai/spiceai/pull/5225)
- Add tests for `verify_schema_source_path` in `ListingTableConnector` by [@phillipleblanc](https://github.com/phillipleblanc) in [#5221](https://github.com/spiceai/spiceai/pull/5221)
- Reduce noise from debug logging by [@phillipleblanc](https://github.com/phillipleblanc) in [#5227](https://github.com/spiceai/spiceai/pull/5227)
- Improve `openai_test_chat_messages` integration test reliability by [@Sevenannn](https://github.com/Sevenannn) in [#5222](https://github.com/spiceai/spiceai/pull/5222)
- Verify the checkpoints existence before shutting down runtime in integration tests directly querying checkpoint by [@Sevenannn](https://github.com/Sevenannn) in [#5232](https://github.com/spiceai/spiceai/pull/5232)
- Fix CORS support for json content-type api by [@sgrebnov](https://github.com/sgrebnov) in [#5241](https://github.com/spiceai/spiceai/pull/5241)
- Fix ModelGradedScorer error: The 'metadata' parameter is only allowed when 'store' is enabled. by [@sgrebnov](https://github.com/sgrebnov) in [#5231](https://github.com/spiceai/spiceai/pull/5231)
- fix: Use `pulls-with-spice-action` and switch to `spiceai-macos` runners by [@peasee](https://github.com/peasee) in [#5238](https://github.com/spiceai/spiceai/pull/5238)
- Use v1.0.3 pulls with spice action by [@lukekim](https://github.com/lukekim) in [#5244](https://github.com/spiceai/spiceai/pull/5244)
- feat: Build ODBC binaries, run testoperator on ODBC by [@peasee](https://github.com/peasee) in [#5237](https://github.com/spiceai/spiceai/pull/5237)
- Bump timeout for several integration test runtime load_components & readiness check by [@Sevenannn](https://github.com/Sevenannn) in [#5229](https://github.com/spiceai/spiceai/pull/5229)
- Validate port is available before binding port for docker container in integration tests by [@Sevenannn](https://github.com/Sevenannn) in [#5248](https://github.com/spiceai/spiceai/pull/5248)
- Update datafusion-table-providers to fix the schema for PostgreSQL materialized views by [@ewgenius](https://github.com/ewgenius) in [#5259](https://github.com/spiceai/spiceai/pull/5259)
- Verify flight server is ready for flight integration tests by [@Sevenannn](https://github.com/Sevenannn) in [#5240](https://github.com/spiceai/spiceai/pull/5240)
- fix: Publish to MinIO inside of matrix on build_and_release by [@peasee](https://github.com/peasee) in [#5258](https://github.com/spiceai/spiceai/pull/5258)
- fix: TPCDS on zero results benchmarks by [@peasee](https://github.com/peasee) in [#5263](https://github.com/spiceai/spiceai/pull/5263)
- Use model as a judge scorer for Financebench by [@sgrebnov](https://github.com/sgrebnov) in [#5264](https://github.com/spiceai/spiceai/pull/5264)
- Fix FinanceBench llm scorer secret name by [@sgrebnov](https://github.com/sgrebnov) in [#5276](https://github.com/spiceai/spiceai/pull/5276)
- Implements support for `runtime.results_cache.cache_key_type` by [@phillipleblanc](https://github.com/phillipleblanc) in [#5265](https://github.com/spiceai/spiceai/pull/5265)
- fix: Testoperator MS SQL, query overrides, dispatcher by [@peasee](https://github.com/peasee) in [#5279](https://github.com/spiceai/spiceai/pull/5279)
- refactor: Delete old benchmarks by [@peasee](https://github.com/peasee) in [#5283](https://github.com/spiceai/spiceai/pull/5283)
- Imporve embedding column parsing performance test by [@Sevenannn](https://github.com/Sevenannn) in [#5268](https://github.com/spiceai/spiceai/pull/5268)
- Add Support for AWS Session Token in S3 Data Connector by [@kczimm](https://github.com/kczimm) in [#5243](https://github.com/spiceai/spiceai/pull/5243)
- Implement Component Metrics system + MySQL connection pool metrics by [@phillipleblanc](https://github.com/phillipleblanc) in [#5290](https://github.com/spiceai/spiceai/pull/5290)
- Add default descriptions to built-in MCP tools by [@lukekim](https://github.com/lukekim) in [#5293](https://github.com/spiceai/spiceai/pull/5293)
- fix: Vector search with cased columns by [@peasee](https://github.com/peasee) in [#5295](https://github.com/spiceai/spiceai/pull/5295)
- Run delta kernel scan in a blocking Tokio thread. by [@phillipleblanc](https://github.com/phillipleblanc) in [#5296](https://github.com/spiceai/spiceai/pull/5296)
- Expose the `mysql_pool_min` and `mysql_pool_max` connection pool parameters by [@phillipleblanc](https://github.com/phillipleblanc) in [#5297](https://github.com/spiceai/spiceai/pull/5297)
- use patched pdf-extract by [@kczimm](https://github.com/kczimm) in [#5270](https://github.com/spiceai/spiceai/pull/5270)

Full Changelog: v1.1.0...v1.1.1

Spice v1.0.7 (Mar 26, 2025)

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

Announcing the release of Spice v1.0.7 🏎️

Spice v1.0.7 improves memory usage when using DuckDB, improves schema inference performance when using object-store based data connectors, and fixes a bug in Dremio schema inference.

Highlights in v1.0.7​

  • DuckDB Memory Usage: Memory usage when using DuckDB has been significantly improved for data loads and refreshes through expanded use of zero-copy Arrow and multi-threading for data loads. When a duckdb_memory_limit is specified, disk spilling has been improved for greater-than-memory workloads. In addition, a new temp_directory runtime parameter supports storing temporary files to alternative location than the DuckDB data file for higher throughput. For example, temp_directory could be set to a different high-IOPs IO2 EBS volume that is separate from the duckdb_file_path.

    Automated end-to-end tests for the DuckDB Accelerator coverage has been significantly expanded.

    For configuration details, see the documentation for runtime parameters and the DuckDB Data Accelerator.

  • Schema Inference Performance for Object-Store Data Connectors: Schema inference performance has been improved, especially for large numbers of objects (1M+ objects) when using object-store based data connectors by making the object-listing and selection more efficient.

Performance​

When compared to previous versions, Spice v1.0.7 loads DuckDB accelerated datasets significantly faster. When using the TPCH lineitem dataset at Scale Factor 100 (600M rows):

Without Indexes​

5x faster, 28% less memory usage.

v1.0.6 v1.0.7

VersionLoad TimePeak Memory Usage
v1.0.616m 3s32GB
v1.0.73m 149ms24.4GB

With Indexes​

2.5x faster. Higher memory usage in v1.0.7 is due to better resource utilization to achieve faster load times. Use the duckdb_memory_limit parameter to control memory usage.

VersionLoad TimePeak Memory Usage
v1.0.627m 9s50GB
v1.0.711m 30s77GB

v1.0.6 with indexes v1.0.7 with indexes

Documentation​

  • DuckDB Data Accelerator: Has been expanded with additional resource usage guidance.
  • Memory: A new section for memory considerations has been added to the Reference section.

Contributors​

  • @phillipleblanc
  • @sgrebnov
  • @peasee
  • @Sevenannn

Breaking Changes​

No breaking changes.

Upgrading​

To upgrade to v1.0.7, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.0.7 image:

docker pull spiceai/spiceai:1.0.7

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

What's Changed​

Dependencies​

Changelog​

- fix: Remove on zero results arguments from benchmarks by @peasee in https://github.com/spiceai/spiceai/pull/4533
- Run benchmark tests w/o uploading test results (pending improvements) by @sgrebnov in https://github.com/spiceai/spiceai/pull/4843
- fix: Return BAD_REQUEST when not embeddings are configured by @peasee in https://github.com/spiceai/spiceai/pull/4804
- Fix Dremio schema inference by @phillipleblanc in https://github.com/spiceai/spiceai/pull/5114
- Improve performance of schema inference for object-store data connectors by @sgrebnov in https://github.com/spiceai/spiceai/pull/5124
- Always download spice runtime version matched with spice cli version by @Sevenannn in https://github.com/spiceai/spiceai/pull/4761
- Fix go lint errors by @sgrebnov in https://github.com/spiceai/spiceai/pull/5147
- Make DuckDB acceleration E2E tests more comprehensive by @sgrebnov in https://github.com/spiceai/spiceai/pull/5146
- Enable Spice to load larger than memory datasets into DuckDB accelerations by @phillipleblanc in https://github.com/spiceai/spiceai/pull/5149
- Add `temp_directory` runtime parameter and insert it for DuckDB accelerations by @phillipleblanc in https://github.com/spiceai/spiceai/pull/5152
- Fix Postgres and MySQL installation on macos14-runner (E2E CI) by @sgrebnov in https://github.com/spiceai/spiceai/pull/5155
- Enable E2E for DuckDB full mode acceleration with indexes only in CI by @sgrebnov in https://github.com/spiceai/spiceai/pull/5154

Full Changelog: github.com/spiceai/spiceai/compare/v1.0.6...v1.0.7

Spice v1.0.3 (Feb 10, 2025)

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

Announcing the release of Spice v1.0.3 🛠️

Spice v1.0.3 provides several bug fixes, including a fix for the initial data load period when a retention policy has been set, and a new unsupported_type_action: string parameter to auto-convert unsupported types to strings.

Highlights in v1.0.3​

  • PostgreSQL Data Connector: New unsupported_type_action: string parameter that auto-converts unsupported types such as JSONB to strings.

Contributors​

  • @phillipleblanc
  • @Sevenannn
  • @sgrebnov
  • @peasee
  • @Jeadie
  • @lukekim

Breaking Changes​

No breaking changes.

Cookbook Updates​

Upgrading​

To upgrade to v1.0.3, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.0.3 image:

docker pull spiceai/spiceai:1.0.3

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

What's Changed​

Dependencies​

No major dependency changes.

Changelog​

- For local models, use 'content=""' instead of None by @Jeadie and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4646
- Perplexity Sonar LLM component by @Jeadie and @lukekim in https://github.com/spiceai/spiceai/pull/4673
- Update async openai fork & support reasoning effort parameter by @Sevenannn and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4679
- Web search tool by @Jeadie and @lukekim in https://github.com/spiceai/spiceai/pull/4687
- Setup tpc-extension by @ewgenius and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4690
- fix: Use PostgreSQL interval style for Spice.ai by @peasee and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4716
- Fix spice upgrade command by @Sevenannn and @sgrebnov in https://github.com/spiceai/spiceai/pull/4699
- Fix bug: Ensure refresh only retrieves data within the retention period by @sgrebnov and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4717
- Implement unsupported_type_action: string for Postgres JSONB support by @phillipleblanc in https://github.com/spiceai/spiceai/pull/4719
- Fix the get latest release logic by @Sevenannn and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4721
- add 'accelerated_refresh' to 'spice trace' allowlist by @Jeadie and @phillipleblanc in https://github.com/spiceai/spiceai/pull/4711
- Update version to 1.0.3 by @phillipleblanc in https://github.com/spiceai/spiceai/pull/4731
- Truncate embedding columns within sampling tool by @Jeadie in https://github.com/spiceai/spiceai/pull/4722
- Validate primary key columns during accelerated dataset initialization by @sgrebnov in https://github.com/spiceai/spiceai/pull/4736

**Full Changelog**: https://github.com/spiceai/spiceai/compare/v1.0.2...v1.0.3

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.