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read

laktory.dlt.read ยค

read(*args, **kwargs)

When is_debug() is True read table from storage, else read table from pipeline with native Databricks dlt.read

RETURNS DESCRIPTION
SparkDataFrame

Ouput dataframe

Examples:

from laktory import dlt

dlt.spark = spark

def define_table():
    @dlt.table(name="slv_stock_prices")
    def get_df():
        df = dlt.read("dev.finance.brz_stock_prices")
        return df

    return get_df

define_table()
Source code in laktory/dlt/__init__.py 
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def read(*args, **kwargs) -> SparkDataFrame:
    """
    When `is_debug()` is `True` read table from storage, else read table from
    pipeline with native Databricks `dlt.read`

    Returns
    -------
    :
        Ouput dataframe

    Examples
    --------
    ```py
    from laktory import dlt

    dlt.spark = spark

    def define_table():
        @dlt.table(name="slv_stock_prices")
        def get_df():
            df = dlt.read("dev.finance.brz_stock_prices")
            return df

        return get_df

    define_table()
    ```
    """
    if is_debug():
        return spark.read.table(args[0])
    else:
        # Remove catalog and schema from naming space
        args = list(args)
        args[0] = args[0].split(".")[-1]
        return _read(*args, **kwargs)