70fe091e7a
any other system containers (storlets, dependencies, etc) are still same Change-Id: I002cf5aa7fb0fcf83dee0c955c1d4d24294f2776
117 lines
4.9 KiB
Python
117 lines
4.9 KiB
Python
# Copyright (c) 2010-2016 OpenStack Foundation
|
|
#
|
|
# 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.
|
|
|
|
from swiftclient import client as c
|
|
from tests.functional.java import StorletJavaFunctionalTest
|
|
import unittest
|
|
|
|
|
|
class TestCsvStorlet(StorletJavaFunctionalTest):
|
|
def setUp(self):
|
|
self.storlet_log = 'csvstorlet-1.0.log'
|
|
self.additional_headers = {}
|
|
main_class = 'org.openstack.storlet.csv.CSVStorlet'
|
|
super(TestCsvStorlet, self).setUp('CsvStorlet',
|
|
'csvstorlet-1.0.jar',
|
|
main_class,
|
|
'meter-1MB.csv')
|
|
|
|
def invoke_storlet(self, start, end,
|
|
first_partition, max_record_line,
|
|
columns_selection,
|
|
where_clause):
|
|
headers = {'X-Run-Storlet': self.storlet_name}
|
|
headers.update(self.additional_headers)
|
|
headers['X-Storlet-Range'] = 'bytes=%d-%d' % (start,
|
|
end + max_record_line)
|
|
headers['X-Storlet-Parameter-1'] = '%s:%s' % ('start', start)
|
|
headers['X-Storlet-Parameter-2'] = '%s:%s' % ('end', end)
|
|
headers['X-Storlet-Parameter-3'] = '%s:%s' % ('max_record_line',
|
|
max_record_line)
|
|
headers['X-Storlet-Parameter-4'] = '%s:%s' % ('first_partition',
|
|
first_partition)
|
|
headers['X-Storlet-Parameter-5'] = '%s:%s' % ('selected_columns',
|
|
columns_selection)
|
|
headers['X-Storlet-Parameter-6'] = '%s:%s' % ('where_clause',
|
|
where_clause)
|
|
_, content = c.get_object(
|
|
self.url, self.token, self.container, self.storlet_file,
|
|
response_dict=dict(), headers=headers)
|
|
return content
|
|
|
|
def _test_filter(self):
|
|
content = self.invoke_storlet(120, 1024,
|
|
'false', 512,
|
|
'4,6', '')
|
|
for line in content.split('\n'):
|
|
if line:
|
|
self.assertEqual(len(line.split(',')), 2)
|
|
|
|
def _test_prune(self):
|
|
content = self.invoke_storlet(120, 1024,
|
|
'false', 512,
|
|
'',
|
|
'EqualTo(6,ESP)')
|
|
for line in content.split('\n'):
|
|
if line:
|
|
val = line.split(',')[6]
|
|
self.assertEqual(val, 'ESP')
|
|
|
|
def _test_prune_filter(self):
|
|
content = self.invoke_storlet(120, 1024,
|
|
'false', 512,
|
|
'4,6',
|
|
'EqualTo(6,ESP)')
|
|
for line in content.split('\n'):
|
|
if line:
|
|
val = line.split(',')[1]
|
|
self.assertEqual(val, 'ESP')
|
|
|
|
def _prune_filter_scan_with_count(self, start, stop,
|
|
first, max_len,
|
|
columns, where):
|
|
content = self.invoke_storlet(start, stop,
|
|
first, max_len,
|
|
columns, where)
|
|
count = 0
|
|
for line in content.split('\n'):
|
|
if line:
|
|
self.assertEqual(line.split(',')[1], 'FRA')
|
|
count = count + 1
|
|
return count
|
|
|
|
def test_complete_file(self):
|
|
max_len = 512
|
|
c1 = self._prune_filter_scan_with_count(58, 349557,
|
|
'true', max_len,
|
|
'4,6', 'EqualTo(6,FRA)')
|
|
c2 = self._prune_filter_scan_with_count(349558, 699057,
|
|
'false', max_len,
|
|
'4,6', 'EqualTo(6,FRA)')
|
|
c3 = self._prune_filter_scan_with_count(699058, 1048558,
|
|
'false', max_len,
|
|
'4,6', 'EqualTo(6,FRA)')
|
|
self.assertEqual(c1 + c2 + c3, 1070)
|
|
|
|
|
|
class TestCsvStorletOnProxy(TestCsvStorlet):
|
|
def setUp(self):
|
|
super(TestCsvStorletOnProxy, self).setUp()
|
|
self.additional_headers = {'X-Storlet-Run-On-Proxy': ''}
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|