636
618
size = trans.put_file('index', stream)
637
619
return btree_index.BTreeGraphIndex(trans, 'index', size)
621
def test_clear_cache(self):
622
nodes = self.make_nodes(160, 2, 2)
623
index = self.make_index(ref_lists=2, key_elements=2, nodes=nodes)
624
self.assertEqual(1, len(list(index.iter_entries([nodes[30][0]]))))
625
self.assertEqual([1, 4], index._row_lengths)
626
self.assertIsNot(None, index._root_node)
627
internal_node_pre_clear = index._internal_node_cache.keys()
628
self.assertTrue(len(index._leaf_node_cache) > 0)
630
# We don't touch _root_node or _internal_node_cache, both should be
631
# small, and can save a round trip or two
632
self.assertIsNot(None, index._root_node)
633
# NOTE: We don't want to affect the _internal_node_cache, as we expect
634
# it will be small, and if we ever do touch this index again, it
635
# will save round-trips. This assertion isn't very strong,
636
# becuase without a 3-level index, we don't have any internal
638
self.assertEqual(internal_node_pre_clear,
639
index._internal_node_cache.keys())
640
self.assertEqual(0, len(index._leaf_node_cache))
639
642
def test_trivial_constructor(self):
640
643
transport = get_transport('trace+' + self.get_url(''))
641
644
index = btree_index.BTreeGraphIndex(transport, 'index', None)
981
984
self.assertEqual(set([]), index.external_references(0))
986
def test__find_ancestors_one_page(self):
989
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
990
(key1, 'value', ([key2],)),
991
(key2, 'value', ([],)),
995
search_keys = index._find_ancestors([key1], 0, parent_map, missing_keys)
996
self.assertEqual({key1: (key2,), key2: ()}, parent_map)
997
self.assertEqual(set(), missing_keys)
998
self.assertEqual(set(), search_keys)
1000
def test__find_ancestors_one_page_w_missing(self):
1004
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1005
(key1, 'value', ([key2],)),
1006
(key2, 'value', ([],)),
1009
missing_keys = set()
1010
search_keys = index._find_ancestors([key2, key3], 0, parent_map,
1012
self.assertEqual({key2: ()}, parent_map)
1013
# we know that key3 is missing because we read the page that it would
1015
self.assertEqual(set([key3]), missing_keys)
1016
self.assertEqual(set(), search_keys)
1018
def test__find_ancestors_one_parent_missing(self):
1022
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1023
(key1, 'value', ([key2],)),
1024
(key2, 'value', ([key3],)),
1027
missing_keys = set()
1028
search_keys = index._find_ancestors([key1], 0, parent_map,
1030
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1031
self.assertEqual(set(), missing_keys)
1032
# all we know is that key3 wasn't present on the page we were reading
1033
# but if you look, the last key is key2 which comes before key3, so we
1034
# don't know whether key3 would land on this page or not.
1035
self.assertEqual(set([key3]), search_keys)
1036
search_keys = index._find_ancestors(search_keys, 0, parent_map,
1038
# passing it back in, we are sure it is 'missing'
1039
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1040
self.assertEqual(set([key3]), missing_keys)
1041
self.assertEqual(set([]), search_keys)
1043
def test__find_ancestors_dont_search_known(self):
1047
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1048
(key1, 'value', ([key2],)),
1049
(key2, 'value', ([key3],)),
1050
(key3, 'value', ([],)),
1052
# We already know about key2, so we won't try to search for key3
1053
parent_map = {key2: (key3,)}
1054
missing_keys = set()
1055
search_keys = index._find_ancestors([key1], 0, parent_map,
1057
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1058
self.assertEqual(set(), missing_keys)
1059
self.assertEqual(set(), search_keys)
1061
def test__find_ancestors_multiple_pages(self):
1062
# We need to use enough keys that we actually cause a split
1063
start_time = 1249671539
1064
email = "joebob@example.com"
1068
for i in xrange(400):
1069
rev_id = '%s-%s-%s' % (email,
1070
osutils.compact_date(start_time + i),
1071
osutils.rand_chars(16))
1073
nodes.append((rev_key, 'value', ref_lists))
1074
# We have a ref 'list' of length 1, with a list of parents, with 1
1075
# parent which is a key
1076
ref_lists = ((rev_key,),)
1077
rev_keys.append(rev_key)
1078
index = self.make_index(ref_lists=1, key_elements=1, nodes=nodes)
1079
self.assertEqual(400, index.key_count())
1080
self.assertEqual(3, len(index._row_offsets))
1081
nodes = dict(index._read_nodes([1, 2]))
1084
min_l2_key = l2.min_key
1085
max_l1_key = l1.max_key
1086
self.assertTrue(max_l1_key < min_l2_key)
1087
parents_min_l2_key = l2.keys[min_l2_key][1][0]
1088
self.assertEqual((l1.max_key,), parents_min_l2_key)
1089
# Now, whatever key we select that would fall on the second page,
1090
# should give us all the parents until the page break
1091
key_idx = rev_keys.index(min_l2_key)
1092
next_key = rev_keys[key_idx+1]
1093
# So now when we get the parent map, we should get the key we are
1094
# looking for, min_l2_key, and then a reference to go look for the
1095
# parent of that key
1097
missing_keys = set()
1098
search_keys = index._find_ancestors([next_key], 0, parent_map,
1100
self.assertEqual([min_l2_key, next_key], sorted(parent_map))
1101
self.assertEqual(set(), missing_keys)
1102
self.assertEqual(set([max_l1_key]), search_keys)
1104
search_keys = index._find_ancestors([max_l1_key], 0, parent_map,
1106
self.assertEqual(sorted(l1.keys), sorted(parent_map))
1107
self.assertEqual(set(), missing_keys)
1108
self.assertEqual(set(), search_keys)
1110
def test__find_ancestors_empty_index(self):
1111
index = self.make_index(ref_lists=1, key_elements=1, nodes=[])
1113
missing_keys = set()
1114
search_keys = index._find_ancestors([('one',), ('two',)], 0, parent_map,
1116
self.assertEqual(set(), search_keys)
1117
self.assertEqual({}, parent_map)
1118
self.assertEqual(set([('one',), ('two',)]), missing_keys)
1120
def test_supports_unlimited_cache(self):
1121
builder = btree_index.BTreeBuilder(reference_lists=0, key_elements=1)
1122
# We need enough nodes to cause a page split (so we have both an
1123
# internal node and a couple leaf nodes. 500 seems to be enough.)
1124
nodes = self.make_nodes(500, 1, 0)
1126
builder.add_node(*node)
1127
stream = builder.finish()
1128
trans = get_transport(self.get_url())
1129
size = trans.put_file('index', stream)
1130
index = btree_index.BTreeGraphIndex(trans, 'index', size)
1131
self.assertEqual(500, index.key_count())
1132
# We have an internal node
1133
self.assertEqual(2, len(index._row_lengths))
1134
# We have at least 2 leaf nodes
1135
self.assertTrue(index._row_lengths[-1] >= 2)
1136
self.assertIsInstance(index._leaf_node_cache, lru_cache.LRUCache)
1137
self.assertEqual(btree_index._NODE_CACHE_SIZE,
1138
index._leaf_node_cache._max_cache)
1139
self.assertIsInstance(index._internal_node_cache, fifo_cache.FIFOCache)
1140
self.assertEqual(100, index._internal_node_cache._max_cache)
1141
# No change if unlimited_cache=False is passed
1142
index = btree_index.BTreeGraphIndex(trans, 'index', size,
1143
unlimited_cache=False)
1144
self.assertIsInstance(index._leaf_node_cache, lru_cache.LRUCache)
1145
self.assertEqual(btree_index._NODE_CACHE_SIZE,
1146
index._leaf_node_cache._max_cache)
1147
self.assertIsInstance(index._internal_node_cache, fifo_cache.FIFOCache)
1148
self.assertEqual(100, index._internal_node_cache._max_cache)
1149
index = btree_index.BTreeGraphIndex(trans, 'index', size,
1150
unlimited_cache=True)
1151
self.assertIsInstance(index._leaf_node_cache, dict)
1152
self.assertIs(type(index._internal_node_cache), dict)
1153
# Exercise the lookup code
1154
entries = set(index.iter_entries([n[0] for n in nodes]))
1155
self.assertEqual(500, len(entries))
984
1158
class TestBTreeNodes(BTreeTestCase):