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Spice v0.12-alpha (April 29, 2024)

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

The v0.12-alpha release introduces Clickhouse and Apache Spark data connectors, adds support for limiting refresh data periods for temporal datasets, and includes upgraded Spice Client SDKs compatible with Spice OSS.

Highlights​

  • Clickhouse data connector: Use Clickhouse as a data source with the clickhouse: scheme.

  • Apache Spark Connect data connector: Use Apache Spark Connect connections as a data source using the spark: scheme.

  • Refresh data window: Limit accelerated dataset data refreshes to the specified window, as a duration from now configuration setting, for faster and more efficient refreshes.

  • ODBC data connector: Use ODBC connections as a data source using the odbc: scheme. The ODBC data connector is currently optional and not included in default builds. It can be conditionally compiled using the odbc cargo feature when building from source.

  • Spice Client SDK Support: The official Spice SDKs have been upgraded with support for Spice OSS.

Breaking Changes​

  • Refresh interval: The refresh_interval acceleration setting and been changed to refresh_check_interval to make it clearer it is the check versus the data interval.

Contributors​

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

New Contributors​

What's Changed​

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.11.1-alpha...v0.12.0-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 v0.11.1-alpha (April 22, 2024)

· 3 min read
Luke Kim
Luke Kim
Founder and CEO of Spice AI

The v0.11.1-alpha release introduces retention policies for accelerated datasets, native Windows installation support, and integration of catalog and schema settings for the Databricks Spark connector. Several bugs have also been fixed for improved stability.

Highlights​

  • Retention Policies for Accelerated Datasets: Automatic eviction of data from accelerated time-series datasets when a specified temporal column exceeds the retention period, optimizing resource utilization.

  • Windows Installation Support: Native Windows installation support, including upgrades.

  • Databricks Spark Connect Catalog and Schema Settings: Improved translation between DataFusion and Spark, providing better Spark Catalog support.

Contributors​

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

New in this release​

What's Changed​

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.11.0-alpha...v0.11.1-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.

Spice.ai v0.10.2-alpha

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

Announcing the release of Spice v0.10.2-alpha (Apr 9, 2024)! 🔥

The v0.10.2-alpha release adds the MySQL data connector and makes external data connections more robust on initialization.

Highlights in v0.10.2-alpha​

  • MySQL data connector: Connect to any MySQL server, including SSL support.

  • Data connections verified at initialization: Verify endpoints and authorization for external data connections (e.g. databricks, spice.ai) at initialization.

New Contributors​

Contributors​

  • @phillipleblanc
  • @y-f-u
  • @ewgenius
  • @sgrebnov
  • @lukekim
  • @digadeesh
  • @jeadie

New in this release​

Full Changelog: https://github.com/spiceai/spiceai/compare/v0.10.1-alpha...v0.10.2-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.ai v0.10.1-alpha

· 2 min read
Luke Kim
Luke Kim
Founder and CEO of Spice AI

Announcing the release of Spice v0.10.1-alpha! 🔥

The v0.10.1-alpha release focuses on stability, bug fixes, and usability by improving error messages when using SQLite data accelerators, improving the PostgreSQL support, and adding a basic Helm chart.

Highlights in v0.10.1-alpha​

Improved PostgreSQL support for Data Connectors TLS is now supported with PostgreSQL Data Connectors and there is improved VARCHAR and BPCHAR conversions through Spice.

Improved Error messages Simplified error messages from Spice when propagating errors from Data Connectors and Accelerator Engines.

Spice Pods Command The spice pods command can give you quick statistics about models, dependencies, and datasets that are loaded by the Spice runtime.

Kubernetes Helm Deployment​

Spice.ai can be deployed to Kubernetes using Helm. Here's a quick guide to get started:

Step 1. (Optional) Start a local kind cluster:

go install sigs.k8s.io/[email protected]
kind create cluster

Step 2. Install Spice in your Kubernetes cluster using Helm:

helm repo add spiceai https://helm.spiceai.org
helm install spiceai spiceai/spiceai

Step 3. Verify that the Spice pods are running:

kubectl get pods
kubectl logs deploy/spiceai

Step 4. Run the Spice SQL REPL inside the running pod:

kubectl exec -it deploy/spiceai -- spiced --repl

Learn more about deploying Spice.ai to Kubernetes

Contributors​

  • @phillipleblanc
  • @mitchdevenport
  • @ewgenius
  • @sgrebnov
  • @lukekim
  • @digadeesh

New in this release​

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.