This patch introduces the CSV storlet

The CSV storlet has an functional test, but was also tested in the context of spark-storlets Change-Id: I0442f6158b480aeecd8305ef09e8cc1171f45e5c
2016-09-18 22:44:27 +03:00
parent f9a7fb1611
commit 27c54b3ad0
17 changed files with 11071 additions and 0 deletions
--- a/tests/functional/java/test_csvstorlet.py
+++ b/tests/functional/java/test_csvstorlet.py
@@ -0,0 +1,111 @@
+# 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
+
+
+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,
+                                          'myobjects',
+                                          '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': ''}