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  1. Features
  2. Data Acceleration

SQLite Data Accelerator

Last updated 5 months ago

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To use SQLite as Data Accelerator, specify sqlite as the engine for acceleration.

datasets:
  - from: spice.ai:path.to.my_dataset
    name: my_dataset
    acceleration:
      engine: sqlite

Configuration

The connection to SQLite can be configured by providing the following params:

  • busy_timeout: Optional. Specifies the duration for the SQLite when connecting to the database file. Default: 5000 ms.

Configuration params are provided in the acceleration section of a dataset. Other common acceleration fields can be configured for sqlite, see see .

LIMITATIONS

  • The SQLite accelerator doesn't support advanced grouping features such as ROLLUP and GROUPING.

  • In SQLite, CAST(value AS DECIMAL) doesn't convert an integer to a floating-point value if the casted value is an integer. Operations like CAST(1 AS DECIMAL) / CAST(2 AS DECIMAL) will be treated as integer division, resulting in 0 instead of the expected 0.5. Use FLOAT to ensure conversion to a floating-point value: CAST(1 AS FLOAT) / CAST(2 AS FLOAT).

  • Updating a dataset with SQLite acceleration while the Spice Runtime is running (hot-reload) will cause SQLite accelerator query federation to disable until the Runtime is restarted.

  • The SQLite accelerator doesn't support arrow Interval types, as doesn't have a native interval type.

  • The SQLite accelerator only supports arrow List types of primitive data types; lists with structs are not supported.

MEMORY CONSIDERATIONS

When accelerating a dataset using mode: memory (the default), some or all of the dataset is loaded into memory. Ensure sufficient memory is available, including overhead for queries and the runtime, especially with concurrent queries.

busy timeout
datasets
SQLite