Export: Spark

Converts the data contract into a Spark StructType schema. The returned value is Python code representing the model schemas.

{/* AUTOGENERATED EXAMPLE: do not edit by hand; regenerate with the update script. */}

datacontract export spark orders.odcs.yaml

Running this against the example orders contract produces (excerpt):

orders = StructType([
    StructField("order_id",
        StringType(),
        False,
        {"comment": "Unique identifier of the order."}
    ),
    StructField("order_timestamp",
        TimestampType(),
        False,
        {"comment": "Timestamp when the order was placed."}
    ),
    StructField("customer_id",
        StringType(),
        False,
        {"comment": "Reference to the customer who placed the order."}
    ),
    StructField("order_total",
        DecimalType(10, 0),
        False,
        {"comment": "Total amount of the order in cents."}
    ),
    StructField("status",
        StringType(),
        False,
        {"comment": "Current fulfilment status of the order."}
    )
])

line_items = StructType([
    StructField("line_item_id",
        StringType(),
        False,
        {"comment": "Unique identifier of the line item."}
    ),
# …

{/* END AUTOGENERATED EXAMPLE */}

For Spark data types, see the Spark documentation.

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