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https://issues.apache.org/jira/browse/BEAM-3342?focusedWorklogId=186571&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-186571
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ASF GitHub Bot logged work on BEAM-3342:
----------------------------------------
Author: ASF GitHub Bot
Created on: 17/Jan/19 21:56
Start Date: 17/Jan/19 21:56
Worklog Time Spent: 10m
Work Description: juan-rael commented on pull request #7367: [BEAM-3342]
Create a Cloud Bigtable Python connector Write
URL: https://github.com/apache/beam/pull/7367#discussion_r248856413
##########
File path: sdks/python/apache_beam/io/gcp/bigtable_io.py
##########
@@ -0,0 +1,120 @@
+#
+# 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.
+The default mode is to set row data to write to BigTable tables.
+The syntax supported is described here:
+https://cloud.google.com/bigtable/docs/quickstart-cbt
+
+BigTable connector can be used as main outputs. A main output
+(common case) is expected to be massive and will be split into
+manageable chunks and processed in parallel. In the example below
+we created a list of rows then passed to the GeneratedDirectRows
+DoFn to set the Cells and then we call the WriteToBigtable to insert
+those generated rows in the table.
+
+ main_table = (p
+ | 'Generate Direct Rows' >> GenerateDirectRows(number)
+ | 'Write to BT' >> beam.ParDo(WriteToBigtable(config)))
+"""
+from __future__ import absolute_import
+
+import apache_beam as beam
+from apache_beam.metrics import Metrics
+from apache_beam.options.pipeline_options import PipelineOptions
+from apache_beam.transforms.display import DisplayDataItem
+
+try:
+ from google.cloud.bigtable import Client
+ from google.cloud.bigtable.batcher import MutationsBatcher
+except ImportError:
+ pass
+
+
+class WriteToBigtable(beam.DoFn):
+ """ Creates the connector can call and add_row to the batcher using each
+ row in beam pipe line
+
+ :type beam_options: class:`~bigtable_configuration.BigtableConfiguration`
+ :param beam_options: class `~bigtable_configuration.BigtableConfiguration`
+ """
+
+ def __init__(self, beam_options):
+ super(WriteToBigtable, self).__init__(beam_options)
+ self.beam_options = beam_options
+ self.table = None
+ self.batcher = None
+ self.written = Metrics.counter(self.__class__, 'Written Row')
+
+ def start_bundle(self):
+ if self.table is None:
+ client = Client(project=self.beam_options.project_id)
+ instance = client.instance(self.beam_options.instance_id)
+ self.table = instance.table(self.beam_options.table_id)
+ self.batcher = MutationsBatcher(self.table)
+
+ def process(self, row):
+ self.written.inc()
+ self.batcher.mutate(row)
+
+ def finish_bundle(self):
+ result = self.batcher.flush()
+ self.batcher = None
+ return result
+
+ def display_data(self):
+ return {'projectId': DisplayDataItem(self.beam_options.project_id,
+ label='Bigtable Project Id'),
+ 'instanceId': DisplayDataItem(self.beam_options.instance_id,
+ label='Bigtable Instance Id'),
+ 'tableId': DisplayDataItem(self.beam_options.table_id,
+ label='Bigtable Table Id')
+ }
+
+
+class BigtableConfiguration(object):
+ """ Bigtable configuration variables.
+
+ :type project_id: :class:`str` or :func:`unicode <unicode>`
+ :param project_id: (Optional) The ID of the project which owns the
+ instances, tables and data. If not provided, will
+ attempt to determine from the environment.
+
+ :type instance_id: str
+ :param instance_id: The ID of the instance.
+
+ :type table_id: str
+ :param table_id: The ID of the table.
+ """
+
+ def __init__(self, project_id, instance_id, table_id):
+ self.project_id = project_id
+ self.instance_id = instance_id
+ self.table_id = table_id
+
+
+class WriteBigtableOptions(PipelineOptions):
Review comment:
Right now, We going to set that class as a PipelineOptions, but, It is not
necessary, so, I will delete it, because, We only need the project_id,
instance_id and table_id in the pipeline.
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Issue Time Tracking
-------------------
Worklog Id: (was: 186571)
Time Spent: 10h 20m (was: 10h 10m)
> Create a Cloud Bigtable Python connector
> ----------------------------------------
>
> Key: BEAM-3342
> URL: https://issues.apache.org/jira/browse/BEAM-3342
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Solomon Duskis
> Assignee: Solomon Duskis
> Priority: Major
> Time Spent: 10h 20m
> Remaining Estimate: 0h
>
> I would like to create a Cloud Bigtable python connector.
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