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Version: devel

dlt.common.libs.pyiceberg

merge_iceberg_table​

def merge_iceberg_table(table: IcebergTable, data: pa.Table,
                        schema: TTableSchema, load_table_name: str) -> None

View source on GitHub

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

get_iceberg_tables​

def get_iceberg_tables(
        pipeline: SupportsPipeline,
        *tables: str,
        schema_name: Optional[str] = None,
        include_dlt_tables: bool = False) -> Dict[str, IcebergTable]

View source on GitHub

Returns Iceberg tables in pipeline.default_schema (default) or schema_name as pyiceberg.Table objects.

Returned object is a dictionary with table names as keys and Tables 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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