
From memcached records are read in bulks. But memcache may return less records than asked if the total size of chunk is larger than internal limit. The dump utility should verify number of records and fall back to one-by-ne retrieval if needed. Change-Id: I795790e2b24828bef258aa881f4154a194c0cc1c
69 lines
2.7 KiB
Python
69 lines
2.7 KiB
Python
# Copyright (c) 2014 Mirantis Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import memcache
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import mock
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import testtools
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from stackalytics.processor import dump
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class TestDump(testtools.TestCase):
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def _make_data(self, record_count):
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data = {'record:count': record_count}
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for i in range(record_count):
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data['record:%d' % i] = i
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return data
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def test_export_data_records(self):
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record_count = 153
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data = self._make_data(record_count)
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memcache_inst = mock.Mock(memcache.Client)
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memcache_inst.get = lambda x: data.get(x)
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memcache_inst.get_multi = lambda keys, key_prefix: dict(
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('%s' % n, data.get(key_prefix + '%s' % n)) for n in keys)
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with mock.patch('pickle.dump') as pickle_dump:
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fd = mock.Mock()
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dump.export_data(memcache_inst, fd)
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# self.assertEquals(total, pickle_dump.call_count)
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expected_calls = [mock.call(('record:count', record_count), fd)]
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for i in range(record_count):
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expected_calls.append(mock.call(('record:%d' % i,
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data['record:%d' % i]), fd))
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pickle_dump.assert_has_calls(expected_calls, any_order=True)
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def test_export_data_records_get_multi_truncates_chunk(self):
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record_count = 153
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data = self._make_data(record_count)
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memcache_inst = mock.Mock(memcache.Client)
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memcache_inst.get = lambda x: data.get(x)
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memcache_inst.get_multi = lambda keys, key_prefix: dict(
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('%s' % n, data.get(key_prefix + '%s' % n))
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for n in [k for k, v in zip(keys, range(len(keys) - 1))])
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with mock.patch('pickle.dump') as pickle_dump:
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fd = mock.Mock()
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dump.export_data(memcache_inst, fd)
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# self.assertEquals(total, pickle_dump.call_count)
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expected_calls = [mock.call(('record:count', record_count), fd)]
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for i in range(record_count):
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expected_calls.append(mock.call(('record:%d' % i,
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data['record:%d' % i]), fd))
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pickle_dump.assert_has_calls(expected_calls, any_order=True)
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