636
630
size = trans.put_file('index', stream)
637
631
return btree_index.BTreeGraphIndex(trans, 'index', size)
633
def test_clear_cache(self):
634
nodes = self.make_nodes(160, 2, 2)
635
index = self.make_index(ref_lists=2, key_elements=2, nodes=nodes)
636
self.assertEqual(1, len(list(index.iter_entries([nodes[30][0]]))))
637
self.assertEqual([1, 4], index._row_lengths)
638
self.assertIsNot(None, index._root_node)
639
internal_node_pre_clear = index._internal_node_cache.keys()
640
self.assertTrue(len(index._leaf_node_cache) > 0)
642
# We don't touch _root_node or _internal_node_cache, both should be
643
# small, and can save a round trip or two
644
self.assertIsNot(None, index._root_node)
645
# NOTE: We don't want to affect the _internal_node_cache, as we expect
646
# it will be small, and if we ever do touch this index again, it
647
# will save round-trips. This assertion isn't very strong,
648
# becuase without a 3-level index, we don't have any internal
650
self.assertEqual(internal_node_pre_clear,
651
index._internal_node_cache.keys())
652
self.assertEqual(0, len(index._leaf_node_cache))
639
654
def test_trivial_constructor(self):
640
655
transport = get_transport('trace+' + self.get_url(''))
641
656
index = btree_index.BTreeGraphIndex(transport, 'index', None)
981
996
self.assertEqual(set([]), index.external_references(0))
998
def test__find_ancestors_one_page(self):
1001
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1002
(key1, 'value', ([key2],)),
1003
(key2, 'value', ([],)),
1006
missing_keys = set()
1007
search_keys = index._find_ancestors([key1], 0, parent_map, missing_keys)
1008
self.assertEqual({key1: (key2,), key2: ()}, parent_map)
1009
self.assertEqual(set(), missing_keys)
1010
self.assertEqual(set(), search_keys)
1012
def test__find_ancestors_one_page_w_missing(self):
1016
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1017
(key1, 'value', ([key2],)),
1018
(key2, 'value', ([],)),
1021
missing_keys = set()
1022
search_keys = index._find_ancestors([key2, key3], 0, parent_map,
1024
self.assertEqual({key2: ()}, parent_map)
1025
# we know that key3 is missing because we read the page that it would
1027
self.assertEqual(set([key3]), missing_keys)
1028
self.assertEqual(set(), search_keys)
1030
def test__find_ancestors_one_parent_missing(self):
1034
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1035
(key1, 'value', ([key2],)),
1036
(key2, 'value', ([key3],)),
1039
missing_keys = set()
1040
search_keys = index._find_ancestors([key1], 0, parent_map,
1042
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1043
self.assertEqual(set(), missing_keys)
1044
# all we know is that key3 wasn't present on the page we were reading
1045
# but if you look, the last key is key2 which comes before key3, so we
1046
# don't know whether key3 would land on this page or not.
1047
self.assertEqual(set([key3]), search_keys)
1048
search_keys = index._find_ancestors(search_keys, 0, parent_map,
1050
# passing it back in, we are sure it is 'missing'
1051
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1052
self.assertEqual(set([key3]), missing_keys)
1053
self.assertEqual(set([]), search_keys)
1055
def test__find_ancestors_dont_search_known(self):
1059
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1060
(key1, 'value', ([key2],)),
1061
(key2, 'value', ([key3],)),
1062
(key3, 'value', ([],)),
1064
# We already know about key2, so we won't try to search for key3
1065
parent_map = {key2: (key3,)}
1066
missing_keys = set()
1067
search_keys = index._find_ancestors([key1], 0, parent_map,
1069
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1070
self.assertEqual(set(), missing_keys)
1071
self.assertEqual(set(), search_keys)
1073
def test__find_ancestors_multiple_pages(self):
1074
# We need to use enough keys that we actually cause a split
1075
start_time = 1249671539
1076
email = "joebob@example.com"
1080
for i in xrange(400):
1081
rev_id = '%s-%s-%s' % (email,
1082
osutils.compact_date(start_time + i),
1083
osutils.rand_chars(16))
1085
nodes.append((rev_key, 'value', ref_lists))
1086
# We have a ref 'list' of length 1, with a list of parents, with 1
1087
# parent which is a key
1088
ref_lists = ((rev_key,),)
1089
rev_keys.append(rev_key)
1090
index = self.make_index(ref_lists=1, key_elements=1, nodes=nodes)
1091
self.assertEqual(400, index.key_count())
1092
self.assertEqual(3, len(index._row_offsets))
1093
nodes = dict(index._read_nodes([1, 2]))
1096
min_l2_key = l2.min_key
1097
max_l1_key = l1.max_key
1098
self.assertTrue(max_l1_key < min_l2_key)
1099
parents_min_l2_key = l2.keys[min_l2_key][1][0]
1100
self.assertEqual((l1.max_key,), parents_min_l2_key)
1101
# Now, whatever key we select that would fall on the second page,
1102
# should give us all the parents until the page break
1103
key_idx = rev_keys.index(min_l2_key)
1104
next_key = rev_keys[key_idx+1]
1105
# So now when we get the parent map, we should get the key we are
1106
# looking for, min_l2_key, and then a reference to go look for the
1107
# parent of that key
1109
missing_keys = set()
1110
search_keys = index._find_ancestors([next_key], 0, parent_map,
1112
self.assertEqual([min_l2_key, next_key], sorted(parent_map))
1113
self.assertEqual(set(), missing_keys)
1114
self.assertEqual(set([max_l1_key]), search_keys)
1116
search_keys = index._find_ancestors([max_l1_key], 0, parent_map,
1118
self.assertEqual(sorted(l1.keys), sorted(parent_map))
1119
self.assertEqual(set(), missing_keys)
1120
self.assertEqual(set(), search_keys)
1122
def test__find_ancestors_empty_index(self):
1123
index = self.make_index(ref_lists=1, key_elements=1, nodes=[])
1125
missing_keys = set()
1126
search_keys = index._find_ancestors([('one',), ('two',)], 0, parent_map,
1128
self.assertEqual(set(), search_keys)
1129
self.assertEqual({}, parent_map)
1130
self.assertEqual(set([('one',), ('two',)]), missing_keys)
1132
def test_supports_unlimited_cache(self):
1133
builder = btree_index.BTreeBuilder(reference_lists=0, key_elements=1)
1134
# We need enough nodes to cause a page split (so we have both an
1135
# internal node and a couple leaf nodes. 500 seems to be enough.)
1136
nodes = self.make_nodes(500, 1, 0)
1138
builder.add_node(*node)
1139
stream = builder.finish()
1140
trans = get_transport(self.get_url())
1141
size = trans.put_file('index', stream)
1142
index = btree_index.BTreeGraphIndex(trans, 'index', size)
1143
self.assertEqual(500, index.key_count())
1144
# We have an internal node
1145
self.assertEqual(2, len(index._row_lengths))
1146
# We have at least 2 leaf nodes
1147
self.assertTrue(index._row_lengths[-1] >= 2)
1148
self.assertIsInstance(index._leaf_node_cache, lru_cache.LRUCache)
1149
self.assertEqual(btree_index._NODE_CACHE_SIZE,
1150
index._leaf_node_cache._max_cache)
1151
self.assertIsInstance(index._internal_node_cache, fifo_cache.FIFOCache)
1152
self.assertEqual(100, index._internal_node_cache._max_cache)
1153
# No change if unlimited_cache=False is passed
1154
index = btree_index.BTreeGraphIndex(trans, 'index', size,
1155
unlimited_cache=False)
1156
self.assertIsInstance(index._leaf_node_cache, lru_cache.LRUCache)
1157
self.assertEqual(btree_index._NODE_CACHE_SIZE,
1158
index._leaf_node_cache._max_cache)
1159
self.assertIsInstance(index._internal_node_cache, fifo_cache.FIFOCache)
1160
self.assertEqual(100, index._internal_node_cache._max_cache)
1161
index = btree_index.BTreeGraphIndex(trans, 'index', size,
1162
unlimited_cache=True)
1163
self.assertIsInstance(index._leaf_node_cache, dict)
1164
self.assertIs(type(index._internal_node_cache), dict)
1165
# Exercise the lookup code
1166
entries = set(index.iter_entries([n[0] for n in nodes]))
1167
self.assertEqual(500, len(entries))
984
1170
class TestBTreeNodes(BTreeTestCase):