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ASF GitHub Bot logged work on BEAM-13734: ----------------------------------------- Author: ASF GitHub Bot Created on: 28/Jan/22 23:42 Start Date: 28/Jan/22 23:42 Worklog Time Spent: 10m Work Description: KevinGG commented on a change in pull request #16601: URL: https://github.com/apache/beam/pull/16601#discussion_r794949408 ########## File path: sdks/python/apache_beam/runners/interactive/interactive_environment.py ########## @@ -357,19 +363,47 @@ def get_cache_manager(self, pipeline, create_if_absent=False): given pipeline. If the pipeline is absent from the environment while create_if_absent is True, creates and returns a new file based cache manager for the pipeline.""" + if self._is_in_ipython: + warnings.filterwarnings( + 'ignore', + 'options is deprecated since First stable release. References to ' + '<pipeline>.options will not be supported', + category=DeprecationWarning) + cache_manager = self._cache_managers.get(str(id(pipeline)), None) + if isinstance(pipeline, Pipeline): + if hasattr(pipeline.runner, '_underlying_runner'): Review comment: can this be replaced with isinstance(pipeline.runner, InteractiveRunner)? ########## File path: sdks/python/apache_beam/runners/interactive/utils.py ########## @@ -427,3 +436,30 @@ def create_var_in_main(name: str, from apache_beam.runners.interactive import interactive_environment as ie ie.current_env().watch({name: value}) return name, value + + +def assert_bucket_exists(bucket_name): + # type: (str) -> None + + """Asserts whether the specified GCS bucket with the name + bucket_name exists. + + Logs an error and raises a ValueError if the bucket does not exist. + + Logs a warning if the bucket cannot be verified to exist. + """ + try: Review comment: You can make it something like: ``` try: from apitools.base.py.exceptions import HttpError storage_client = ... ... storage_client.buckets.Get(request) except HttpError as e: if ... ... else: _LOGGER.warning( 'HttpError - unable to verify whether bucket %s exists', bucket_name) except ImportError as e: _LOGGER.warning( 'ImportError - unable to verify whether bucket %s exists', bucket_name) ``` ########## File path: sdks/python/apache_beam/runners/interactive/interactive_environment.py ########## @@ -357,19 +363,47 @@ def get_cache_manager(self, pipeline, create_if_absent=False): given pipeline. If the pipeline is absent from the environment while create_if_absent is True, creates and returns a new file based cache manager for the pipeline.""" + if self._is_in_ipython: + warnings.filterwarnings( + 'ignore', + 'options is deprecated since First stable release. References to ' + '<pipeline>.options will not be supported', + category=DeprecationWarning) + cache_manager = self._cache_managers.get(str(id(pipeline)), None) + if isinstance(pipeline, Pipeline): + if hasattr(pipeline.runner, '_underlying_runner'): + pipeline_runner = pipeline.runner._underlying_runner + else: + pipeline_runner = pipeline.runner + else: + pipeline_runner = None if not cache_manager and create_if_absent: - from apache_beam.runners.interactive import interactive_beam as ib - if ib.options.cache_root: - #TODO(victorhc): Handle the case when the path starts with "gs://" - if ib.options.cache_root.startswith("gs://"): - raise ValueError("GCS paths are not currently supported.") - cache_dir = tempfile.mkdtemp(dir=ib.options.cache_root) + cache_root = self.options.cache_root + if cache_root: + if cache_root.startswith('gs://'): + cache_dir = self._get_gcs_cache_dir(pipeline, cache_root) + else: + cache_dir = tempfile.mkdtemp(dir=cache_root) + if not isinstance(pipeline_runner, direct_runner.DirectRunner): + _LOGGER.warning( + 'A local cache directory has been specified while ' + 'not using DirectRunner. It is recommended to cache into a ' + 'GCS bucket instead.') else: - cache_dir = tempfile.mkdtemp( - suffix=str(id(pipeline)), - prefix='it-', - dir=os.environ.get('TEST_TMPDIR', None)) + staging_location = pipeline.options.get_all_options( + )['staging_location'] + if isinstance(pipeline_runner, DataflowRunner) and staging_location: + cache_dir = self._get_gcs_cache_dir(pipeline, staging_location) + _LOGGER.warning( + 'No cache_root detected. ' + 'Defaulting to temp_location %s for cache location.', Review comment: staging_location ########## File path: sdks/python/apache_beam/runners/interactive/utils.py ########## @@ -32,13 +32,22 @@ import apache_beam as beam from apache_beam.dataframe.convert import to_pcollection from apache_beam.dataframe.frame_base import DeferredBase +from apache_beam.internal.gcp import auth +from apache_beam.internal.http_client import get_new_http +from apache_beam.io.gcp.internal.clients import storage from apache_beam.portability.api.beam_runner_api_pb2 import TestStreamPayload from apache_beam.runners.interactive.caching.cacheable import Cacheable from apache_beam.runners.interactive.caching.cacheable import CacheKey from apache_beam.runners.interactive.caching.expression_cache import ExpressionCache from apache_beam.testing.test_stream import WindowedValueHolder from apache_beam.typehints.schemas import named_fields_from_element_type +# Protect against environments where apitools library is not available. +try: + from apitools.base.py.exceptions import HttpError +except ImportError: Review comment: This doesn't seem right. You should probably merge the import in the try-except block in the `assert_bucket_exists ` function and add an except block for `ImportError` and log a similar warning. I'll put the suggestion in place below. ########## File path: sdks/python/apache_beam/runners/interactive/interactive_environment.py ########## @@ -357,19 +363,47 @@ def get_cache_manager(self, pipeline, create_if_absent=False): given pipeline. If the pipeline is absent from the environment while create_if_absent is True, creates and returns a new file based cache manager for the pipeline.""" + if self._is_in_ipython: + warnings.filterwarnings( + 'ignore', + 'options is deprecated since First stable release. References to ' + '<pipeline>.options will not be supported', + category=DeprecationWarning) + cache_manager = self._cache_managers.get(str(id(pipeline)), None) + if isinstance(pipeline, Pipeline): + if hasattr(pipeline.runner, '_underlying_runner'): + pipeline_runner = pipeline.runner._underlying_runner + else: + pipeline_runner = pipeline.runner + else: + pipeline_runner = None if not cache_manager and create_if_absent: - from apache_beam.runners.interactive import interactive_beam as ib - if ib.options.cache_root: - #TODO(victorhc): Handle the case when the path starts with "gs://" - if ib.options.cache_root.startswith("gs://"): - raise ValueError("GCS paths are not currently supported.") - cache_dir = tempfile.mkdtemp(dir=ib.options.cache_root) + cache_root = self.options.cache_root + if cache_root: + if cache_root.startswith('gs://'): + cache_dir = self._get_gcs_cache_dir(pipeline, cache_root) + else: + cache_dir = tempfile.mkdtemp(dir=cache_root) + if not isinstance(pipeline_runner, direct_runner.DirectRunner): + _LOGGER.warning( + 'A local cache directory has been specified while ' + 'not using DirectRunner. It is recommended to cache into a ' + 'GCS bucket instead.') else: - cache_dir = tempfile.mkdtemp( - suffix=str(id(pipeline)), - prefix='it-', - dir=os.environ.get('TEST_TMPDIR', None)) + staging_location = pipeline.options.get_all_options( + )['staging_location'] + if isinstance(pipeline_runner, DataflowRunner) and staging_location: + cache_dir = self._get_gcs_cache_dir(pipeline, staging_location) + _LOGGER.warning( Review comment: Maybe make this info level. ########## File path: sdks/python/apache_beam/runners/interactive/utils_test.py ########## @@ -42,6 +42,30 @@ from apache_beam.utils.timestamp import Timestamp from apache_beam.utils.windowed_value import WindowedValue +# Protect against environments where apitools library is not available. +try: Review comment: You can skip tests when there is an ImportError. For example: https://github.com/apache/beam/blob/70d9e2a08cc32192790cd9c98ffa15a756877a73/sdks/python/apache_beam/runners/interactive/display/pcoll_visualization_test.py#L47 And https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/interactive/testing/integration/screen_diff.py#L129 ########## File path: sdks/python/apache_beam/runners/interactive/utils_test.py ########## @@ -42,6 +42,30 @@ from apache_beam.utils.timestamp import Timestamp from apache_beam.utils.windowed_value import WindowedValue +# Protect against environments where apitools library is not available. +try: + from apitools.base.py.exceptions import HttpError + from apitools.base.py.exceptions import HttpNotFoundError +except ImportError: Review comment: ``` except ImportError: _http_error_imported = False HttpError = ValueError HttpNotFoundError = ValueError else: _http_error_imported = True @unittest.skipIf( not _http_error_imported, 'http errors are not imported.') class GCSUtilsTest... ``` -- This is an automated message from the Apache Git Service. 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To unsubscribe, e-mail: github-unsubscr...@beam.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 717375) Time Spent: 11h (was: 10h 50m) > Support cache directories that use GCS buckets > ---------------------------------------------- > > Key: BEAM-13734 > URL: https://issues.apache.org/jira/browse/BEAM-13734 > Project: Beam > Issue Type: New Feature > Components: runner-py-interactive > Reporter: Victor Chen > Assignee: Victor Chen > Priority: P2 > Time Spent: 11h > Remaining Estimate: 0h > > * Builds off of the work accomplished under BEAM-13685 > * Modified interactive_environment.py to support caching to a bucket on GCS > for batch processing pipelines > * If a specified bucket does not exist, the pipeline will terminate and > return an error specifying that the bucket does not exist > * Added cleanup() functionality to cache_manager.py, to enable the > FileBasedCacheManager class to automatically delete cached values on GCS when > a bucket path is specified > * Added docstring to interactive_beam.py with an example of GCS path > assignment > * Cached files on GCS will be stored under a directory represented by the > value of id(pipeline). > ** Example cached path: gs://my-gcs-bucket/cache/dir/id(pipeline) -- This message was sent by Atlassian Jira (v8.20.1#820001)