5 posts tagged with "data accelerator"

Announcing the release of Spice v0.19.4-beta ☘️

Spice v0.19.4-beta introduces a new localpod Data Connector, improvements to accelerator resiliency and control, and a new configuration to control when accelerated datasets are considered ready.

Highlights in v0.19.4​

localpod Connector: Implement a "tiered" acceleration strategy with a new localpod Data Connector that can be used to accelerate datasets from other datasets registered in Spice.

datasets:
  - from: s3://my_bucket/my_dataset
    name: my_dataset
    acceleration:
      enabled: true
      engine: duckdb
      mode: file
      refresh_check_interval: 60s
  - from: localpod:my_dataset
    name: my_localpod_dataset
    acceleration:
      enabled: true

Refreshes on the localpod's parent dataset will automatically be synchronized with the localpod dataset.

Improved Accelerator Resiliency: When Spice is restarted, if the federated source for a dataset configured with a file-based accelerator is not available, the dataset will still load from the existing file data and will attempt to connect to the federated source in the background for future refreshes.

Accelerator Ready State: Control when an accelerated dataset is considered "ready" by the runtime with the new ready_state parameter.

datasets:
  - from: s3://my_bucket/my_dataset
    name: my_dataset
    acceleration:
      enabled: true
      ready_state: on_load # or on_registration

• ready_state: on_load: Default. The dataset is considered ready after the initial load of the accelerated data. For file-based accelerated datasets that have existing data, this means the dataset is ready immediately.
• ready_state: on_registration: The dataset is considered ready when the dataset is registered in Spice. Queries against this dataset before the data is loaded will fallback to the federated source.

Announcing the release of Spice v0.19.3-beta 📈

Spice v0.19.3-beta improves the performance and stability of data connectors and accelerators, including faster queries across multiple federated sources by optimizing how filters are applied. Anthropic has also been added as a LLM model provider.

Highlights in v0.19.3​

DataFusion Fixes: Resolved bugs in DataFusion and DataFusion Table Providers, expanding TPC-DS coverage and correctness.

GitHub Data Connector Beta Milestone: The GitHub Data Connector has graduated to Beta after extensive testing, stability, and performance improvements.

Anthropic Models Provider: Anthropic has been added as an LLM provider, including support for streaming.

Example spicepod.yml:

models:
  - from: anthropic:claude-3-5-sonnet-20240620
    name: claude_3_5_sonnet
    params:
      anthropic_api_key: ${ secrets:SPICE_ANTHROPIC_API_KEY }

Announcing the release of Spice v0.19.2-beta ⚡

Spice v0.19.2-beta continues to improve performance and stability of data connectors and data accelerators, further expands TPC-DS coverage, and includes several bug fixes.

Highlights in v0.19.2​

DataFusion Fixes: Resolved bugs in DataFusion and DataFusion Table Providers, improving TPC-DS query support and correctness.

TPC-DS Snapshots: Extended support for TPC-DS benchmarks with added snapshot tests for validating query plans and result accuracy.

PostgreSQL Accelerator Beta: Postgres Data Accelerator has been promoted to Beta Quality

Announcing the release of Spice v0.17.3-beta.

The v0.17.3-beta release further improves data accelerator robustness and adds a new github data connector that makes accelerating GitHub Issues, Pull Requests, Commits, and Blobs easy.

Highlights in v0.17.3-beta​

Improved benchmarking, testing, and robustness of data accelerators: Continued improvements to benchmarking and testing of data accelerators, leading to more robust and reliable data accelerators.

GitHub Connector (alpha): Connect to GitHub and accelerate Issues, Pull Requests, Commits, and Blobs.

datasets:
  # Fetch all rust and golang files from spiceai/spiceai
  - from: github:github.com/spiceai/spiceai/files/trunk
    name: spiceai.files
    params:
      include: '**/*.rs; **/*.go'
      github_token: ${secrets:GITHUB_TOKEN}

    # Fetch all issues from spiceai/spiceai. Similar for pull requests, commits, and more.
  - from: github:github.com/spiceai/spiceai/issues
    name: spiceai.issues
    params:
      github_token: ${secrets:GITHUB_TOKEN}

Announcing the release of Spice v0.17.2-beta 🏄

The v0.17.2-beta release focuses on improving data accelerator compatibility, stability, and performance. Expanded data type support for DuckDB, SQLite, and PostgreSQL data accelerators (and data connectors) enables significantly more data types to be accelerated. Error handling and logging has also been improved along with several bugs.

Highlights in v0.17.2-beta​

Expanded Data Type Support for Data Accelerators: DuckDB, SQLite, and PostgreSQL Data Accelerators now support a wider range of data types, enabling acceleration of more diverse datasets.

Enhanced Error Handling and Logging: Improvements have been made to aid in troubleshooting and debugging.

Anonymous Usage Telemetry: Optional, anonymous, aggregated telemetry has been added to help improve Spice. This feature can be disabled. For details about collected data, see the telemetry documentation.

To opt out of telemetry:

1. Using the CLI flag:

   spice run -- --telemetry-enabled false
   

2. Add configuration to spicepod.yaml:

   runtime:
     telemetry:
       enabled: false
   

Improved Benchmarking: A suite of performance benchmarking tests have been added to the project, helping to maintain and improve runtime performance; a top priority for the project.