Apache Beam支持动态创建disposition的数据流处理，可以在运行时根据计算图中的状态动态确定数据的处理方式。以下是一个示例代码：

import apache_beam as beam

class MyDynamicFn(beam.DoFn):
    def process(self, element):
        status = get_status(element)
        if status == 'success':
            yield beam.utils.windowed_value.WindowedValue(element, beam.core.TimestampedValue(1))
        elif status == 'failure':
            yield beam.utils.windowed_value.WindowedValue(element, beam.core.TimestampedValue(1, 0))
        elif status == 'unknown':
            yield beam.utils.windowed_value.WindowedValue(element, beam.core.TimestampedValue(0, 0))

data = ['1', '2', '3', '4']

with beam.Pipeline() as p:
    result = (
        p
        | beam.Create(data)
        | beam.ParDo(MyDynamicFn())
    )

    # 定义输出的处理方式
    success_output = result[beam.io.WriteFilesResult.OK]
    failure_output = result[beam.io.WriteFilesResult.ERROR]
    unknown_output = result[None]

    # 输出结果
    success_output | 'write_success' >> beam.io.WriteToText('success.txt')
    failure_output | 'write_failure' >> beam.io.WriteToText('failure.txt')
    unknown_output | 'write_unknown' >> beam.io.WriteToText('unknown.txt')

在上述代码中，MyDynamicFn类中的process方法根据元素的状态来动态确定数据的处理方式。处理结果根据不同的状态输出到不同的文件中。

在pipeline中，通过定义不同的输出方式来输出不同的数据。