def test_flexrs_cost(self):
pipeline_options = PipelineOptions(
['--flexrs_goal', 'COST_OPTIMIZED',
'--temp_location', 'gs://any-location/temp'])
env = apiclient.Environment([], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(
env.proto.flexResourceSchedulingGoal,
(dataflow.Environment.FlexResourceSchedulingGoalValueValuesEnum.
FLEXRS_COST_OPTIMIZED))
def test_set_subnetwork(self):
pipeline_options = PipelineOptions([
'--subnetwork', '/regions/MY/subnetworks/SUBNETWORK',
'--temp_location', 'gs://any-location/temp'
])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(env.proto.workerPools[0].subnetwork,
'/regions/MY/subnetworks/SUBNETWORK')
def test_harness_override_uses_base_version_in_rc_releases(self):
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming'])
override = ''.join([
'runner_harness_container_image=',
names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY, '/harness:2.2.0'
])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertIn(override, env.proto.experiments)
def test_harness_override_absent_in_released_sdks_with_runner_v2(self):
pipeline_options = PipelineOptions([
'--temp_location', 'gs://any-location/temp', '--streaming',
'--experiments=use_runner_v2'
])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
if env.proto.experiments:
for experiment in env.proto.experiments:
self.assertNotIn('runner_harness_container_image=', experiment)
def test_sdk_harness_container_images_get_set(self):
pipeline_options = PipelineOptions([
'--experiments=beam_fn_api', '--experiments=use_unified_worker',
'--temp_location', 'gs://any-location/temp'
])
pipeline = Pipeline(options=pipeline_options)
pipeline | Create([1, 2, 3]) | ParDo(DoFn()) # pylint:disable=expression-not-assigned
test_environment = DockerEnvironment(
container_image='test_default_image')
proto_pipeline, _ = pipeline.to_runner_api(
return_context=True, default_environment=test_environment)
# We have to manually add environments since Dataflow only sets
# 'sdkHarnessContainerImages' when there are at least two environments.
dummy_env = beam_runner_api_pb2.Environment(
urn=common_urns.environments.DOCKER.urn,
payload=(beam_runner_api_pb2.DockerPayload(
container_image='dummy_image')).SerializeToString())
proto_pipeline.components.environments['dummy_env_id'].CopyFrom(
dummy_env)
dummy_transform = beam_runner_api_pb2.PTransform(
environment_id='dummy_env_id')
proto_pipeline.components.transforms['dummy_transform_id'].CopyFrom(
dummy_transform)
env = apiclient.Environment(
[], # packages
pipeline_options,
'2.0.0', # any environment version
FAKE_PIPELINE_URL,
proto_pipeline,
_sdk_image_overrides={
'.*dummy.*': 'dummy_image',
'.*test.*': 'test_default_image'
})
worker_pool = env.proto.workerPools[0]
# For the test, a third environment get added since actual default
# container image for Dataflow is different from 'test_default_image'
# we've provided above.
self.assertEqual(3, len(worker_pool.sdkHarnessContainerImages))
# Container image should be overridden by a Dataflow specific URL.
self.assertTrue(
str.startswith(
(worker_pool.sdkHarnessContainerImages[0]).containerImage,
'gcr.io/cloud-dataflow/v1beta3/python'))
def test_pinned_worker_harness_image_tag_used_in_dev_sdk(self):
# streaming, fnapi pipeline.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming'])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
if sys.version_info[0] == 3:
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
(names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY +
'/python3-fnapi:' + names.BEAM_FNAPI_CONTAINER_VERSION))
else:
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
(names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY + '/python-fnapi:' +
names.BEAM_FNAPI_CONTAINER_VERSION))
# batch, legacy pipeline.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp'])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
if sys.version_info[0] == 3:
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
(names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY + '/python3:' +
names.BEAM_CONTAINER_VERSION))
else:
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
(names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY + '/python:' +
names.BEAM_CONTAINER_VERSION))
def test_enable_hot_key_logging(self):
# Tests that the enable_hot_key_logging is not set by default.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp'])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertIsNone(env.proto.debugOptions)
# Now test that it is set when given.
pipeline_options = PipelineOptions([
'--enable_hot_key_logging', '--temp_location',
'gs://any-location/temp'
])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(env.proto.debugOptions,
dataflow.DebugOptions(enableHotKeyLogging=True))
def test_worker_harness_override_takes_precedence_over_sdk_defaults(self):
# streaming, fnapi pipeline.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming',
'--worker_harness_container_image=some:image'])
env = apiclient.Environment([], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
'some:image')
# batch, legacy pipeline.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp',
'--worker_harness_container_image=some:image'])
env = apiclient.Environment([], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
'some:image')
def test_harness_override_present_in_dataflow_distributions(self):
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming'])
override = ''.join([
'runner_harness_container_image=',
dependency.DATAFLOW_CONTAINER_IMAGE_REPOSITORY, '/harness:2.2.0'
])
distribution = pkg_resources.Distribution(version='2.2.0')
with mock.patch(
'apache_beam.runners.dataflow.internal.dependency.pkg_resources'
'.get_distribution',
mock.MagicMock(return_value=distribution)):
env = apiclient.Environment([], pipeline_options, '2.2.0')
self.assertIn(override, env.proto.experiments)
def test_worker_harness_image_tag_matches_released_sdk_version(self):
# streaming, fnapi pipeline.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming'])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(env.proto.workerPools[0].workerHarnessContainerImage,
(names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY +
'/python-fnapi:2.2.0'))
# batch, legacy pipeline.
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp'])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(
env.proto.workerPools[0].workerHarnessContainerImage,
(names.DATAFLOW_CONTAINER_IMAGE_REPOSITORY + '/python:2.2.0'))
def test_harness_override_absent_in_unreleased_sdk(self):
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming'])
with mock.patch(
'apache_beam.runners.dataflow.internal.dependency.pkg_resources'
'.get_distribution',
mock.Mock(side_effect=pkg_resources.DistributionNotFound())):
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0') #any environment version
if env.proto.experiments:
for experiment in env.proto.experiments:
self.assertNotIn('runner_harness_container_image=',
experiment)
def test_harness_override_present_in_beam_releases(self):
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp', '--streaming'])
override = ''.join([
'runner_harness_container_image=',
dependency.DATAFLOW_CONTAINER_IMAGE_REPOSITORY, '/harness:2.2.0'
])
with mock.patch(
'apache_beam.runners.dataflow.internal.dependency.pkg_resources'
'.get_distribution',
mock.Mock(side_effect=pkg_resources.DistributionNotFound())):
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0') #any environment version
self.assertIn(override, env.proto.experiments)
def test_default_environment_get_set(self):
pipeline_options = PipelineOptions([
'--experiments=beam_fn_api',
'--experiments=use_unified_worker',
'--temp_location',
'gs://any-location/temp'
])
pipeline = Pipeline(options=pipeline_options)
pipeline | Create([1, 2, 3]) | ParDo(DoFn()) # pylint:disable=expression-not-assigned
test_environment = DockerEnvironment(container_image='test_default_image')
proto_pipeline, _ = pipeline.to_runner_api(
return_context=True, default_environment=test_environment)
dummy_env = beam_runner_api_pb2.Environment(
urn=common_urns.environments.DOCKER.urn,
payload=(
beam_runner_api_pb2.DockerPayload(
container_image='dummy_image')).SerializeToString())
proto_pipeline.components.environments['dummy_env_id'].CopyFrom(dummy_env)
dummy_transform = beam_runner_api_pb2.PTransform(
environment_id='dummy_env_id')
proto_pipeline.components.transforms['dummy_transform_id'].CopyFrom(
dummy_transform)
env = apiclient.Environment(
[], # packages
pipeline_options,
'2.0.0', # any environment version
FAKE_PIPELINE_URL,
proto_pipeline,
_sdk_image_overrides={
'.*dummy.*': 'dummy_image', '.*test.*': 'test_default_image'
})
worker_pool = env.proto.workerPools[0]
self.assertEqual(2, len(worker_pool.sdkHarnessContainerImages))
images_from_proto = [
sdk_info.containerImage
for sdk_info in worker_pool.sdkHarnessContainerImages
]
self.assertIn('test_default_image', images_from_proto)
def test_harness_override_custom_in_released_sdks(self):
pipeline_options = PipelineOptions([
'--temp_location', 'gs://any-location/temp', '--streaming',
'--experiments=runner_harness_container_image=fake_image'
])
env = apiclient.Environment(
[], #packages
pipeline_options,
'2.0.0', #any environment version
FAKE_PIPELINE_URL)
self.assertEqual(
1,
len([
x for x in env.proto.experiments
if x.startswith('runner_harness_container_image=')
]))
self.assertIn('runner_harness_container_image=fake_image',
env.proto.experiments)
def test_get_python_sdk_name(self):
pipeline_options = PipelineOptions([
'--project',
'test_project',
'--job_name',
'test_job_name',
'--temp_location',
'gs://test-location/temp',
'--experiments',
'beam_fn_api',
'--experiments',
'use_multiple_sdk_containers'
])
environment = apiclient.Environment([],
pipeline_options,
1,
FAKE_PIPELINE_URL)
self.assertEqual(
'Apache Beam Python 3.5 SDK', environment._get_python_sdk_name())
def test_default_ip_configuration(self):
pipeline_options = PipelineOptions(
['--temp_location', 'gs://any-location/temp'])
env = apiclient.Environment([], pipeline_options, '2.0.0')
self.assertEqual(env.proto.workerPools[0].ipConfiguration, None)
