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Version: 0.5.4 (latest)

common.libs.deltalake

ensure_delta_compatible_arrow_schema

def ensure_delta_compatible_arrow_schema(schema: pa.Schema) -> pa.Schema

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Returns Arrow schema compatible with Delta table format.

Casts schema to replace data types not supported by Delta.

ensure_delta_compatible_arrow_data

def ensure_delta_compatible_arrow_data(
data: Union[pa.Table, pa.RecordBatchReader]
) -> Union[pa.Table, pa.RecordBatchReader]

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Returns Arrow data compatible with Delta table format.

Casts data schema to replace data types not supported by Delta.

get_delta_write_mode

def get_delta_write_mode(write_disposition: TWriteDisposition) -> str

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Translates dlt write disposition to Delta write mode.

write_delta_table

def write_delta_table(
table_or_uri: Union[str, Path, DeltaTable],
data: Union[pa.Table, pa.RecordBatchReader],
write_disposition: TWriteDisposition,
partition_by: Optional[Union[List[str], str]] = None,
storage_options: Optional[Dict[str, str]] = None) -> None

[view_source]

Writes in-memory Arrow data to on-disk Delta table.

Thin wrapper around deltalake.write_deltalake.

merge_delta_table

def merge_delta_table(table: DeltaTable, data: Union[pa.Table,
pa.RecordBatchReader],
schema: TTableSchema) -> None

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Merges in-memory Arrow data into on-disk Delta table.

get_delta_tables

def get_delta_tables(pipeline: Pipeline,
*tables: str,
schema_name: str = None) -> Dict[str, DeltaTable]

[view_source]

Returns Delta tables in pipeline.default_schema (default) as deltalake.DeltaTable objects.

Returned object is a dictionary with table names as keys and DeltaTable objects as values. Optionally filters dictionary by table names specified as *tables*. Raises ValueError if table name specified as *tables is not found. You may try to switch to other schemas via schema_name argument.

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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