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https://issues.apache.org/jira/browse/BEAM-3342?focusedWorklogId=462149&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-462149
]
ASF GitHub Bot logged work on BEAM-3342:
----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Jul/20 17:02
Start Date: 22/Jul/20 17:02
Worklog Time Spent: 10m
Work Description: chamikaramj commented on a change in pull request
#11295:
URL: https://github.com/apache/beam/pull/11295#discussion_r458937989
##########
File path: sdks/python/apache_beam/io/gcp/bigtableio.py
##########
@@ -1,151 +0,0 @@
-#
-# 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.
-#
-
-"""BigTable connector
-
-This module implements writing to BigTable tables.
Review comment:
Unfortunately we forgot to mark this as experimental. So we'll have to
leave the sink here and add the new source to "experimental/bigtableio.py" for
backwards compatibility. When we are confident about the performance of the
source we can move it her. For example, I think we need to add support for
dynamic work rebalancing similar to Java BigTable source (can be in a future
PR).
##########
File path:
sdks/python/apache_beam/io/gcp/experimental/bigtableio_read_it_test.py
##########
@@ -0,0 +1,169 @@
+#
+# 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.
+#
+
+""" Integration test for GC Bigtable connector [read]."""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import argparse
+import logging
+import unittest
+
+from nose.plugins.attrib import attr
+
+import apache_beam as beam
+from apache_beam.io.gcp.experimental.bigtableio import ReadFromBigtable
+from apache_beam.metrics.metric import MetricsFilter
+from apache_beam.options.pipeline_options import PipelineOptions
+from apache_beam.options.pipeline_options import SetupOptions
+from apache_beam.runners.runner import PipelineState
+
+try:
+ from google.cloud.bigtable import Client
+except ImportError:
+ Client = None
+
+
[email protected](Client is None, 'GC Bigtable dependencies are not installed')
+class BigtableReadTest(unittest.TestCase):
+ """ Bigtable Read Connector Test
+
+ This tests the ReadFromBigtable connector class via reading rows from
+ a Bigtable table and comparing the `Rows Read` metrics with the row
+ count known a priori.
+ """
+ def setUp(self):
+ self.options = parse_commane_line_arguments()
+
+ logging.info('\nProject ID: %s', self.options['project'])
+ logging.info('\nInstance ID: %s', self.options['instance'])
+ logging.info('\nTable ID: %s', self.options['table'])
+
+ self._p_options = PipelineOptions(**self.options)
+ self._p_options.view_as(SetupOptions).save_main_session = True
+
+ logging.getLogger().setLevel(self.options['log_level'])
+
+ # [OPTIONAL] Uncomment to save logs into a file
+ # self._setup_log_file()
+
+ # [OPTIONAL] Uncomment this to allow logging the pipeline options
+ # for key, value in self.p_options.get_all_options().items():
+ # logging.info('Pipeline option {:32s} : {}'.format(key, value))
+
+ def _setup_log_file(self):
+ if self.options['log_directory']:
+ # logging.basicConfig(
+ # filename='{}{}.log'.format(
+ # options['log_directory'], options['table']
+ # ),
+ # filemode='w',
+ # level=logging.DEBUG
+ # )
+
+ # Forward all the logs to a file
+ fh = logging.FileHandler(
+ filename='{}test_log_{}_RUNNER={}.log'.format(
+ self.options['log_directory'],
+ self.options['table'][-15:],
+ self.options['runner']))
+ fh.setLevel(logging.DEBUG)
+ logging.getLogger().addHandler(fh)
+
+ @attr('IT')
+ def test_bigtable_read(self):
+ logging.info(
+ 'Reading table "%s" of %d rows...',
+ self.options['table'],
+ self.options['row_count'] or 0)
+
+ p = beam.Pipeline(options=self._p_options)
+ _ = (
+ p | 'Read Test' >> ReadFromBigtable(
+ project_id=self.options['project'],
+ instance_id=self.options['instance'],
+ table_id=self.options['table'],
+ filter_=self.options['filter']))
+ self.result = p.run()
+ self.result.wait_until_finish()
+ assert self.result.state == PipelineState.DONE
+
+ query_result = self.result.metrics().query(
+ MetricsFilter().with_name('Rows Read'))
+
+ if query_result['counters']:
+ read_counter = query_result['counters'][0]
+ final_count = read_counter.committed
+ assert final_count == self.options['row_count']
+ logging.info(
+ '%d out of %d rows were read successfully.',
+ final_count,
+ self.options['row_count'])
+
+ logging.info('DONE!')
+
+
+def parse_commane_line_arguments():
+ parser = argparse.ArgumentParser()
+
Review comment:
You do not need to set these up manually. Please see the way our other
integration tests are setup. You can either configure a new Jenkins test suite
or add integration tests to existing Python post-commit tests. Latter might be
easier.
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Issue Time Tracking
-------------------
Worklog Id: (was: 462149)
Time Spent: 49.5h (was: 49h 20m)
> Create a Cloud Bigtable IO connector for Python
> -----------------------------------------------
>
> Key: BEAM-3342
> URL: https://issues.apache.org/jira/browse/BEAM-3342
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Solomon Duskis
> Priority: P2
> Time Spent: 49.5h
> Remaining Estimate: 0h
>
> I would like to create a Cloud Bigtable python connector.
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