date: 2025-12-23 title: 'Spice v1.10.2 (Dec 22, 2025)' type: blog authors: [sgrebnov] tags: [release, caching, snapshots, dynamodb, kafka, sqlite]
Announcing the release of Spice v1.10.2! 🔥
v1.10.2 introduces Tiered Caching Acceleration with Localpod for multi-layer acceleration architectures, Periodic Acceleration Snapshots with configurable intervals, DynamoDB JSON Nesting for column consolidation, and Kafka/Debezium Batching for faster data ingestion. This release also includes fixes for SQLite accelerator decimal/date handling and real-time status reporting for the /v1/datasets and /v1/models API endpoints.
Multi-Layer Acceleration Architecture: The Localpod connector now supports caching refresh mode, enabling tiered acceleration where a persistent cache (e.g., file-mode DuckDB) feeds a fast in-memory cache (e.g., Arrow, memory-mode DuckDB).
Key Features:
Example spicepod.yaml configuration:
For more details, refer to the Localpod Data Connector Documentation.
Configurable Snapshot Intervals: A new snapshots_create_interval parameter enables periodic snapshot creation for accelerated datasets across all refresh modes. This provides better control over snapshot frequency and ensures consistent recovery points for accelerated data.
Example spicepod.yaml configuration:
For more details, refer to the Data Acceleration Documentation.
Consolidate Columns into JSON: The DynamoDB Data Connector now supports consolidating columns into a single JSON column using the json_object: "*" metadata option. This is useful when only a few columns are needed as discrete fields while the rest can be accessed as nested JSON.
Example spicepod.yaml configuration:
Example Output: Given a DynamoDB table with columns PK, SK, name, email, and status, the resulting table schema consolidates all non-specified columns into the data_json column:
| PK | SK | data_json |
|---|---|---|
| pk_1 | sort_1 | {"name": "Alice", "email": "alice@example.com", "status": "active"} |
| pk_2 | sort_2 | {"name": "Bob", "email": "bob@example.com", "status": "inactive"} |
For more details, refer to the DynamoDB JSON Nesting Documentation.
Faster Data Ingestion: Configure message batching for Kafka and Debezium connectors to improve data ingestion throughput. Batching reduces processing overhead by grouping multiple messages together before insertion.
Key Features:
Example spicepod.yaml configuration:
For more details, refer to the Kafka Data Connector Documentation and Debezium Data Connector Documentation.
/v1/datasets and /v1/models API endpoints.security.protocol is set to PLAINTEXT.No breaking changes.
New Cayenne Data Accelerator Recipe: New recipe demonstrating how to accelerate a local copy of the taxi trips dataset using Cayenne as the data accelerator engine. See Cayenne Data Accelerator Recipe for details.
New Dataset Partitioning Recipe: New recipe demonstrating how to partition accelerated datasets to improve query performance. See Dataset Partitioning for details.
The Spice Cookbook includes 84 recipes to help you get started with Spice quickly and easily.
To upgrade to v1.10.2, use one of the following methods:
CLI:
Homebrew:
Docker:
Pull the spiceai/spiceai:1.10.2 image:
For available tags, see DockerHub.
Helm:
AWS Marketplace:
🎉 Spice is now available in the AWS Marketplace!
security.protocol is set to PLAINTEXT by @krinart in #8587clippy::too_many_lines lint by @phillipleblanc in #8549