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Version: devel

dlt.destinations.impl.lancedb.schema

Utilities for creating arrow schemas from table schemas.

NULL_SCHEMA

Empty pyarrow Schema with no fields.

make_arrow_field_schema

def make_arrow_field_schema(column_name: str, column: TColumnSchema,
type_mapper: DataTypeMapper) -> TArrowField

View source on GitHub

Creates a PyArrow field from a dlt column schema.

make_arrow_table_schema

def make_arrow_table_schema(
table_name: str,
schema: Schema,
type_mapper: DataTypeMapper,
vector_field_name: Optional[str] = None,
embedding_fields: Optional[List[str]] = None,
embedding_model_func: Optional[TextEmbeddingFunction] = None,
embedding_model_dimensions: Optional[int] = None) -> TArrowSchema

View source on GitHub

Creates a PyArrow schema from a dlt schema.

add_vector_column

def add_vector_column(records: TArrowData, table_schema: TArrowSchema,
vector_column: str) -> TArrowData

View source on GitHub

Inserts a null vector_column at the index the table holds it at, when records omit it.

A merge matches the payload schema against the table by name, order and type.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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