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Datum

Source code in docs_src/capo_timestream_query/types/datum.py
class Datum(TypedDict, closed=True):
    scalar_value: NotRequired["capo_timestream_query.types.scalar_value.ScalarValue"]
    """<p> Indicates if the data point is a scalar value such as integer, string, double, or Boolean. </p>"""
    time_series_value: NotRequired[
        "capo_timestream_query.types.time_series_data_point_list.TimeSeriesDataPointList"
    ]
    """<p> Indicates if the data point is a timeseries data type. </p>"""
    array_value: NotRequired["capo_timestream_query.types.datum_list.DatumList"]
    """<p> Indicates if the data point is an array. </p>"""
    row_value: NotRequired["capo_timestream_query.types.row.Row"]
    """<p> Indicates if the data point is a row. </p>"""
    null_value: NotRequired[
        "capo_timestream_query.types.nullable_boolean.NullableBoolean"
    ]
    """<p> Indicates if the data point is null. </p>"""

array_value instance-attribute

array_value: NotRequired[DatumList]

Indicates if the data point is an array.

null_value instance-attribute

null_value: NotRequired[NullableBoolean]

Indicates if the data point is null.

row_value instance-attribute

row_value: NotRequired[Row]

Indicates if the data point is a row.

scalar_value instance-attribute

scalar_value: NotRequired[ScalarValue]

Indicates if the data point is a scalar value such as integer, string, double, or Boolean.

time_series_value instance-attribute

time_series_value: NotRequired[TimeSeriesDataPointList]

Indicates if the data point is a timeseries data type.