| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| """A job that write Entries into Datastore. |
| |
| The pipelines behave in the steps below. |
| |
| 1. Create and write Entities to Datastore |
| 2. (Optional) If read limit was provided, |
| read it and confirm that the expected Entities were read. |
| 3. Query the written Entities and verify result. |
| 4. Delete Entries. |
| 5. Query the written Entities, verify no results. |
| """ |
| |
| from __future__ import absolute_import |
| |
| import argparse |
| import hashlib |
| import logging |
| import uuid |
| |
| import apache_beam as beam |
| from apache_beam.io.gcp.datastore.v1.datastoreio import DeleteFromDatastore |
| from apache_beam.io.gcp.datastore.v1.datastoreio import ReadFromDatastore |
| from apache_beam.io.gcp.datastore.v1.datastoreio import WriteToDatastore |
| from apache_beam.options.pipeline_options import GoogleCloudOptions |
| from apache_beam.options.pipeline_options import PipelineOptions |
| from apache_beam.testing.test_pipeline import TestPipeline |
| from apache_beam.testing.util import assert_that |
| from apache_beam.testing.util import equal_to |
| |
| # Protect against environments where Datastore library is not available. |
| # pylint: disable=wrong-import-order, wrong-import-position |
| try: |
| from google.cloud.proto.datastore.v1 import entity_pb2 |
| from google.cloud.proto.datastore.v1 import query_pb2 |
| from googledatastore import helper as datastore_helper |
| from googledatastore import PropertyFilter |
| except ImportError: |
| pass |
| # pylint: enable=wrong-import-order, wrong-import-position |
| # pylint: enable=ungrouped-imports |
| |
| |
| _LOGGER = logging.getLogger(__name__) |
| |
| |
| def new_pipeline_with_job_name(pipeline_options, job_name, suffix): |
| """Create a pipeline with the given job_name and a suffix.""" |
| gcp_options = pipeline_options.view_as(GoogleCloudOptions) |
| # DirectRunner doesn't have a job name. |
| if job_name: |
| gcp_options.job_name = job_name + suffix |
| |
| return TestPipeline(options=pipeline_options) |
| |
| |
| class EntityWrapper(object): |
| """Create a Cloud Datastore entity from the given string.""" |
| |
| def __init__(self, kind, namespace, ancestor): |
| self._kind = kind |
| self._namespace = namespace |
| self._ancestor = ancestor |
| |
| def make_entity(self, content): |
| """Create entity from given string.""" |
| entity = entity_pb2.Entity() |
| if self._namespace is not None: |
| entity.key.partition_id.namespace_id = self._namespace |
| |
| # All entities created will have the same ancestor |
| datastore_helper.add_key_path(entity.key, self._kind, self._ancestor, |
| self._kind, hashlib.sha1(content).hexdigest()) |
| |
| datastore_helper.add_properties(entity, {'content': str(content)}) |
| return entity |
| |
| |
| def make_ancestor_query(kind, namespace, ancestor): |
| """Creates a Cloud Datastore ancestor query.""" |
| ancestor_key = entity_pb2.Key() |
| datastore_helper.add_key_path(ancestor_key, kind, ancestor) |
| if namespace is not None: |
| ancestor_key.partition_id.namespace_id = namespace |
| |
| query = query_pb2.Query() |
| query.kind.add().name = kind |
| |
| datastore_helper.set_property_filter( |
| query.filter, '__key__', PropertyFilter.HAS_ANCESTOR, ancestor_key) |
| |
| return query |
| |
| |
| def run(argv=None): |
| """Main entry point.""" |
| |
| parser = argparse.ArgumentParser() |
| |
| parser.add_argument('--kind', |
| dest='kind', |
| default='writereadtest', |
| help='Datastore Kind') |
| parser.add_argument('--num_entities', |
| dest='num_entities', |
| type=int, |
| required=True, |
| help='Number of entities to write') |
| parser.add_argument('--limit', |
| dest='limit', |
| type=int, |
| help='Limit of number of entities to write') |
| |
| known_args, pipeline_args = parser.parse_known_args(argv) |
| pipeline_options = PipelineOptions(pipeline_args) |
| gcloud_options = pipeline_options.view_as(GoogleCloudOptions) |
| job_name = gcloud_options.job_name |
| kind = known_args.kind |
| num_entities = known_args.num_entities |
| project = gcloud_options.project |
| # a random ancesor key |
| ancestor = str(uuid.uuid4()) |
| query = make_ancestor_query(kind, None, ancestor) |
| |
| # Pipeline 1: Create and write the specified number of Entities to the |
| # Cloud Datastore. |
| _LOGGER.info('Writing %s entities to %s', num_entities, project) |
| p = new_pipeline_with_job_name(pipeline_options, job_name, '-write') |
| |
| # pylint: disable=expression-not-assigned |
| (p |
| | 'Input' >> beam.Create(list(range(known_args.num_entities))) |
| | 'To String' >> beam.Map(str) |
| | 'To Entity' >> beam.Map(EntityWrapper(kind, None, ancestor).make_entity) |
| | 'Write to Datastore' >> WriteToDatastore(project)) |
| |
| p.run() |
| |
| # Optional Pipeline 2: If a read limit was provided, read it and confirm |
| # that the expected entities were read. |
| if known_args.limit is not None: |
| _LOGGER.info('Querying a limited set of %s entities and verifying count.', |
| known_args.limit) |
| p = new_pipeline_with_job_name(pipeline_options, job_name, '-verify-limit') |
| query_with_limit = query_pb2.Query() |
| query_with_limit.CopyFrom(query) |
| query_with_limit.limit.value = known_args.limit |
| entities = p | 'read from datastore' >> ReadFromDatastore(project, |
| query_with_limit) |
| assert_that( |
| entities | beam.combiners.Count.Globally(), |
| equal_to([known_args.limit])) |
| |
| p.run() |
| |
| # Pipeline 3: Query the written Entities and verify result. |
| _LOGGER.info('Querying entities, asserting they match.') |
| p = new_pipeline_with_job_name(pipeline_options, job_name, '-verify') |
| entities = p | 'read from datastore' >> ReadFromDatastore(project, query) |
| |
| assert_that( |
| entities | beam.combiners.Count.Globally(), |
| equal_to([num_entities])) |
| |
| p.run() |
| |
| # Pipeline 4: Delete Entities. |
| _LOGGER.info('Deleting entities.') |
| p = new_pipeline_with_job_name(pipeline_options, job_name, '-delete') |
| entities = p | 'read from datastore' >> ReadFromDatastore(project, query) |
| # pylint: disable=expression-not-assigned |
| (entities |
| | 'To Keys' >> beam.Map(lambda entity: entity.key) |
| | 'Delete keys' >> DeleteFromDatastore(project)) |
| |
| p.run() |
| |
| # Pipeline 5: Query the written Entities, verify no results. |
| _LOGGER.info('Querying for the entities to make sure there are none present.') |
| p = new_pipeline_with_job_name(pipeline_options, job_name, '-verify-deleted') |
| entities = p | 'read from datastore' >> ReadFromDatastore(project, query) |
| |
| assert_that( |
| entities | beam.combiners.Count.Globally(), |
| equal_to([0])) |
| |
| p.run() |
| |
| |
| if __name__ == '__main__': |
| logging.getLogger().setLevel(logging.INFO) |
| run() |