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See https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/AUTHORING_GUIDE.md
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See https://github.com/GoogleCloudPlatform/python-docs-samples/blob/main/CONTRIBUTING.md
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[//]: # "This README.md file is auto-generated, all changes to this file will be lost."
[//]: # "To regenerate it, use `python -m synthtool`."

## Python Samples for Cloud Bigtable

This directory contains samples for Cloud Bigtable, which may be used as a refererence for how to use this product.

## Additional Information

You can read the documentation for more details on API usage and use GitHub
to <a href="https://github.com/googleapis/python-bigtable">browse the source</a> and [report issues][issues].

### Contributing
View the [contributing guidelines][contrib_guide], the [Python style guide][py_style] for more information.

[authentication]: https://cloud.google.com/docs/authentication/getting-started
[enable_billing]:https://cloud.google.com/apis/docs/getting-started#enabling_billing
[client_library_python]: https://googlecloudplatform.github.io/google-cloud-python/
[issues]: https://github.com/GoogleCloudPlatform/google-cloud-python/issues
[contrib_guide]: https://github.com/googleapis/google-cloud-python/blob/main/CONTRIBUTING.rst
[py_style]: http://google.github.io/styleguide/pyguide.html
[cloud_sdk]: https://cloud.google.com/sdk/docs
[gcloud_shell]: https://cloud.google.com/shell/docs
[gcloud_shell]: https://cloud.google.com/shell/docs
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# Copyright 2020 Google Inc.
#
# Licensed 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.
import datetime

import apache_beam as beam
from apache_beam.io.gcp.bigtableio import WriteToBigTable
from apache_beam.options.pipeline_options import PipelineOptions

from google.cloud.bigtable import row


class BigtableOptions(PipelineOptions):
@classmethod
def _add_argparse_args(cls, parser):
parser.add_argument(
"--bigtable-project",
help="The Bigtable project ID, this can be different than your "
"Dataflow project",
default="bigtable-project",
)
parser.add_argument(
"--bigtable-instance",
help="The Bigtable instance ID",
default="bigtable-instance",
)
parser.add_argument(
"--bigtable-table",
help="The Bigtable table ID in the instance.",
default="bigtable-table",
)


class CreateRowFn(beam.DoFn):
def process(self, key):
direct_row = row.DirectRow(row_key=key)
direct_row.set_cell(
"stats_summary", b"os_build", b"android", datetime.datetime.now()
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)
return [direct_row]


def run(argv=None):
"""Build and run the pipeline."""
options = BigtableOptions(argv)
with beam.Pipeline(options=options) as p:
(
p
| beam.Create(["phone#4c410523#20190501", "phone#4c410523#20190502"])
| beam.ParDo(CreateRowFn())
| WriteToBigTable(
project_id=options.bigtable_project,
instance_id=options.bigtable_instance,
table_id=options.bigtable_table,
)
)


if __name__ == "__main__":
run()
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# Copyright 2020 Google Inc.
#
# Licensed 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.
import os
import uuid

import pytest

from ..utils import create_table_cm
from . import hello_world_write

PROJECT = os.environ["GOOGLE_CLOUD_PROJECT"]
BIGTABLE_INSTANCE = os.environ["BIGTABLE_INSTANCE"]
TABLE_ID = f"mobile-time-series-beam-{str(uuid.uuid4())[:16]}"


@pytest.fixture(scope="module", autouse=True)
def table():
with create_table_cm(
PROJECT, BIGTABLE_INSTANCE, TABLE_ID, {"stats_summary": None}
) as table:
yield table


def test_hello_world_write(table):
hello_world_write.run(
[
"--bigtable-project=%s" % PROJECT,
"--bigtable-instance=%s" % BIGTABLE_INSTANCE,
"--bigtable-table=%s" % TABLE_ID,
]
)

rows = table.read_rows()
count = 0
for _ in rows:
count += 1
assert count == 2
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