StartImportTaskInput ¶

class StartImportTaskInput(TypedDict, closed=True):
    import_options: NotRequired["capo_neptune_graph.types.import_options.ImportOptions"]
    fail_on_error: NotRequired["bool"]
    """<p>If set to true, the task halts when an import error is encountered. If set to false, the task skips the data that caused the error and continues if possible.</p>"""
    source: "str"
    """<p>A URL identifying the location of the data to be imported. This can be an Amazon S3 path, or can point to a Neptune database endpoint or snapshot.</p>"""
    format: NotRequired["capo_neptune_graph.types.format.Format"]
    """<p>Specifies the format of Amazon S3 data to be imported. Valid values are CSV, which identifies the Gremlin CSV format or OPENCYPHER, which identifies the openCypher load format.</p>"""
    parquet_type: NotRequired["capo_neptune_graph.types.parquet_type.ParquetType"]
    """<p>The parquet type of the import task.</p>"""
    blank_node_handling: NotRequired[
        "capo_neptune_graph.types.blank_node_handling.BlankNodeHandling"
    ]
    """<p>The method to handle blank nodes in the dataset. Currently, only <code>convertToIri</code> is supported, meaning blank nodes are converted to unique IRIs at load time. Must be provided when format is <code>ntriples</code>. For more information, see <a href="https://docs.aws.amazon.com/neptune-analytics/latest/userguide/using-rdf-data.html#rdf-handling">Handling RDF values</a>.</p>"""
    graph_identifier: "capo_neptune_graph.types.graph_identifier.GraphIdentifier"
    """<p>The unique identifier of the Neptune Analytics graph.</p>"""
    role_arn: "capo_neptune_graph.types.role_arn.RoleArn"
    """<p>The ARN of the IAM role that will allow access to the data that is to be imported.</p>"""