[
https://issues.apache.org/jira/browse/BEAM-5148?focusedWorklogId=259232&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-259232
]
ASF GitHub Bot logged work on BEAM-5148:
----------------------------------------
Author: ASF GitHub Bot
Created on: 13/Jun/19 03:06
Start Date: 13/Jun/19 03:06
Worklog Time Spent: 10m
Work Description: chamikaramj commented on pull request #8826:
[BEAM-5148] Implement MongoDB IO for Python SDK
URL: https://github.com/apache/beam/pull/8826#discussion_r293189953
##########
File path: sdks/python/apache_beam/io/mongodbio_test.py
##########
@@ -0,0 +1,171 @@
+# 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.
+#
+
+from __future__ import absolute_import
+
+import logging
+import unittest
+
+import mock
+
+import apache_beam as beam
+from apache_beam.io import ReadFromMongoDB
+from apache_beam.io import WriteToMongoDB
+from apache_beam.io.mongodbio import _BoundedMongoSource
+from apache_beam.io.mongodbio import _GenerateObjectIdFn
+from apache_beam.io.mongodbio import _MongoSink
+from apache_beam.io.mongodbio import _WriteMongoFn
+from apache_beam.testing.test_pipeline import TestPipeline
+from apache_beam.testing.util import assert_that
+from apache_beam.testing.util import equal_to
+
+
+class Test_BoundedMongoSource(unittest.TestCase):
+ @mock.patch('apache_beam.io.mongodbio._BoundedMongoSource'
+ '._get_document_count')
+ @mock.patch('apache_beam.io.mongodbio._BoundedMongoSource'
+ '._get_avg_document_size')
+ def setUp(self, mock_size, mock_count):
+ mock_size.return_value = 10
+ mock_count.return_value = 30
+ self.mongo_source = _BoundedMongoSource('mongodb://test', 'testdb',
+ 'testcoll')
+
+ def test_estimate_size(self):
+ self.assertEqual(self.mongo_source.estimate_size(), 300)
+
+ def test_split(self):
+ # desired bundle size is 3 times of avg doc size, each bundle contains 3
+ # documents
+ for bundle in self.mongo_source.split(start_position=0,
+ stop_position=30,
+ desired_bundle_size=30):
+ self.assertEqual(3, bundle.weight)
+
+ # expect 4 documents in first 7 bundles and 2 document in last bundle
+ for bundle in self.mongo_source.split(40):
+ self.assertIn(bundle.weight, [4, 2])
+
+ @mock.patch('apache_beam.io.mongodbio.OffsetRangeTracker')
+ def test_get_range_tracker(self, mock_tracker):
+ self.mongo_source.get_range_tracker(None, None)
+ mock_tracker.assert_called_with(0, 30)
+ self.mongo_source.get_range_tracker(10, 20)
+ mock_tracker.assert_called_with(10, 20)
+
+ @mock.patch('apache_beam.io.mongodbio.MongoClient')
+ def test_read(self, mock_client):
+ mock_tracker = mock.MagicMock()
+ mock_tracker.try_claim.return_value = True
+ mock_tracker.start_position.return_value = 0
+ mock_tracker.stop_position.return_value = 2
+
+ mock_client.return_value.__enter__.return_value.__getitem__.return_value \
+ .__getitem__.return_value.find.return_value = [{'x': 1}, {'x': 2}]
+
+ result = []
+ for i in self.mongo_source.read(mock_tracker):
+ result.append(i)
+ self.assertListEqual([{'x': 1}, {'x': 2}], result)
+
+ def test_display_data(self):
+ data = self.mongo_source.display_data()
+ self.assertTrue('uri' in data)
+ self.assertTrue('database' in data)
+ self.assertTrue('collection' in data)
+
+ @mock.patch('apache_beam.io.mongodbio.MongoClient')
+ def test__get_avg_document_size(self, mock_client):
+ mock_client.return_value.__enter__.return_value.__getitem__ \
+ .return_value.command.return_value = {'avgObjSize': 5}
+ self.assertEqual(5, self.mongo_source._get_avg_document_size())
+
+ @mock.patch('apache_beam.io.mongodbio.MongoClient')
+ def test_get_document_count(self, mock_client):
+ mock_client.return_value.__enter__.return_value.__getitem__ \
+ .return_value.__getitem__.return_value.count_documents.return_value = 10
+
+ self.assertEqual(10, self.mongo_source._get_document_count())
+
+
+class TestReadFromMongoDB(unittest.TestCase):
Review comment:
ReadFromMongDBTest (following convention of other tests)
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
Issue Time Tracking
-------------------
Worklog Id: (was: 259232)
Time Spent: 2h 10m (was: 2h)
> Implement MongoDB IO for Python SDK
> -----------------------------------
>
> Key: BEAM-5148
> URL: https://issues.apache.org/jira/browse/BEAM-5148
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Affects Versions: 3.0.0
> Reporter: Pascal Gula
> Assignee: Yichi Zhang
> Priority: Major
> Fix For: Not applicable
>
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> Currently Java SDK has MongoDB support but Python SDK does not. With current
> portability efforts other runners may soon be able to use Python SDK. Having
> mongoDB support will allow these runners to execute large scale jobs using it.
> Since we need this IO components @ Peat, we started working on a PyPi package
> available at this repository: [https://github.com/PEAT-AI/beam-extended]
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
