本文整理汇总了Python中google.cloud.dataflow.pipeline.Pipeline.apply方法的典型用法代码示例。如果您正苦于以下问题：Python Pipeline.apply方法的具体用法？Python Pipeline.apply怎么用？Python Pipeline.apply使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类google.cloud.dataflow.pipeline.Pipeline的用法示例。
在下文中一共展示了Pipeline.apply方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_reuse_custom_transform_instance
# 需要导入模块: from google.cloud.dataflow.pipeline import Pipeline [as 别名]
# 或者: from google.cloud.dataflow.pipeline.Pipeline import apply [as 别名]
def test_reuse_custom_transform_instance(self):
pipeline = Pipeline(DirectPipelineRunner())
pcoll1 = pipeline | Create('pcoll1', [1, 2, 3])
pcoll2 = pipeline | Create('pcoll2', [4, 5, 6])
transform = PipelineTest.CustomTransform()
pcoll1 | transform
with self.assertRaises(RuntimeError) as cm:
pipeline.apply(transform, pcoll2)
self.assertEqual(
cm.exception.message,
'Transform with label %s already applied. Please clone the current '
'instance using a new label or alternatively create a new instance. '
'To clone a transform use: transform.clone(\'NEW LABEL\').'
% 'CustomTransform')示例2: test_reuse_custom_transform_instance
# 需要导入模块: from google.cloud.dataflow.pipeline import Pipeline [as 别名]
# 或者: from google.cloud.dataflow.pipeline.Pipeline import apply [as 别名]
def test_reuse_custom_transform_instance(self):
pipeline = Pipeline(DirectPipelineRunner())
pcoll1 = pipeline | Create('pcoll1', [1, 2, 3])
pcoll2 = pipeline | Create('pcoll2', [4, 5, 6])
transform = PipelineTest.CustomTransform()
pcoll1 | transform
with self.assertRaises(RuntimeError) as cm:
pipeline.apply(transform, pcoll2)
self.assertEqual(
cm.exception.message,
'Transform "CustomTransform" does not have a stable unique label. '
'This will prevent updating of pipelines. '
'To clone a transform with a new label use: '
'transform.clone("NEW LABEL").')示例3: test_apply_custom_callable
# 需要导入模块: from google.cloud.dataflow.pipeline import Pipeline [as 别名]
# 或者: from google.cloud.dataflow.pipeline.Pipeline import apply [as 别名]
def test_apply_custom_callable(self):
pipeline = Pipeline('DirectPipelineRunner')
pcoll = pipeline | Create('pcoll', [1, 2, 3])
result = pipeline.apply(PipelineTest.custom_callable, pcoll)
assert_that(result, equal_to([2, 3, 4]))
pipeline.run()