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# Copyright (C) 2008, 2009, 2010 Canonical Ltd
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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"""Tests for btree indices."""
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from bzrlib.tests import (
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TestCaseWithTransport,
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split_suite_by_condition,
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def load_tests(standard_tests, module, loader):
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# parameterise the TestBTreeNodes tests
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node_tests, others = split_suite_by_condition(standard_tests,
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condition_isinstance(TestBTreeNodes))
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import bzrlib._btree_serializer_py as py_module
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scenarios = [('python', {'parse_btree': py_module})]
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if compiled_btreeparser_feature.available():
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scenarios.append(('C', {'parse_btree':
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compiled_btreeparser_feature.module}))
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return multiply_tests(node_tests, scenarios, others)
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compiled_btreeparser_feature = tests.ModuleAvailableFeature(
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'bzrlib._btree_serializer_pyx')
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class BTreeTestCase(TestCaseWithTransport):
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# test names here are suffixed by the key length and reference list count
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TestCaseWithTransport.setUp(self)
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self.overrideAttr(btree_index, '_RESERVED_HEADER_BYTES', 100)
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def make_nodes(self, count, key_elements, reference_lists):
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"""Generate count*key_elements sample nodes."""
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for prefix_pos in range(key_elements):
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prefix = (str(prefix_pos) * 40,)
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for pos in xrange(count):
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# TODO: This creates odd keys. When count == 100,000, it
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# creates a 240 byte key
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key = prefix + (str(pos) * 40,)
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value = "value:%s" % pos
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# generate some references
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for list_pos in range(reference_lists):
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# as many keys in each list as its index + the key depth
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# mod 2 - this generates both 0 length lists and
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# ones slightly longer than the number of lists.
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# It also ensures we have non homogeneous lists.
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for ref_pos in range(list_pos + pos % 2):
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# refer to a nearby key
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refs[-1].append(prefix + ("ref" + str(pos - 1) * 40,))
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# serial of this ref in the ref list
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refs[-1].append(prefix + ("ref" + str(ref_pos) * 40,))
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refs[-1] = tuple(refs[-1])
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keys.append((key, value, refs))
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def shrink_page_size(self):
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"""Shrink the default page size so that less fits in a page."""
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self.overrideAttr(btree_index, '_PAGE_SIZE')
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btree_index._PAGE_SIZE = 2048
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class TestBTreeBuilder(BTreeTestCase):
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def test_clear_cache(self):
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builder = btree_index.BTreeBuilder(reference_lists=0, key_elements=1)
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# This is a no-op, but we need the api to be consistent with other
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# BTreeGraphIndex apis.
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builder.clear_cache()
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def test_empty_1_0(self):
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builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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"B+Tree Graph Index 2\nnode_ref_lists=0\nkey_elements=1\nlen=0\n"
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def test_empty_2_1(self):
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builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=1)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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"B+Tree Graph Index 2\nnode_ref_lists=1\nkey_elements=2\nlen=0\n"
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def test_root_leaf_1_0(self):
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builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
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nodes = self.make_nodes(5, 1, 0)
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builder.add_node(*node)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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self.assertEqual(131, len(content))
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"B+Tree Graph Index 2\nnode_ref_lists=0\nkey_elements=1\nlen=5\n"
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node_content = content[73:]
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node_bytes = zlib.decompress(node_content)
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expected_node = ("type=leaf\n"
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"0000000000000000000000000000000000000000\x00\x00value:0\n"
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"1111111111111111111111111111111111111111\x00\x00value:1\n"
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"2222222222222222222222222222222222222222\x00\x00value:2\n"
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"3333333333333333333333333333333333333333\x00\x00value:3\n"
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"4444444444444444444444444444444444444444\x00\x00value:4\n")
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self.assertEqual(expected_node, node_bytes)
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def test_root_leaf_2_2(self):
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builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
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nodes = self.make_nodes(5, 2, 2)
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builder.add_node(*node)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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self.assertEqual(238, len(content))
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"B+Tree Graph Index 2\nnode_ref_lists=2\nkey_elements=2\nlen=10\n"
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node_content = content[74:]
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node_bytes = zlib.decompress(node_content)
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"0000000000000000000000000000000000000000\x000000000000000000000000000000000000000000\x00\t0000000000000000000000000000000000000000\x00ref0000000000000000000000000000000000000000\x00value:0\n"
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"0000000000000000000000000000000000000000\x001111111111111111111111111111111111111111\x000000000000000000000000000000000000000000\x00ref0000000000000000000000000000000000000000\t0000000000000000000000000000000000000000\x00ref0000000000000000000000000000000000000000\r0000000000000000000000000000000000000000\x00ref0000000000000000000000000000000000000000\x00value:1\n"
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"0000000000000000000000000000000000000000\x002222222222222222222222222222222222222222\x00\t0000000000000000000000000000000000000000\x00ref0000000000000000000000000000000000000000\x00value:2\n"
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"0000000000000000000000000000000000000000\x003333333333333333333333333333333333333333\x000000000000000000000000000000000000000000\x00ref2222222222222222222222222222222222222222\t0000000000000000000000000000000000000000\x00ref2222222222222222222222222222222222222222\r0000000000000000000000000000000000000000\x00ref2222222222222222222222222222222222222222\x00value:3\n"
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"0000000000000000000000000000000000000000\x004444444444444444444444444444444444444444\x00\t0000000000000000000000000000000000000000\x00ref0000000000000000000000000000000000000000\x00value:4\n"
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"1111111111111111111111111111111111111111\x000000000000000000000000000000000000000000\x00\t1111111111111111111111111111111111111111\x00ref0000000000000000000000000000000000000000\x00value:0\n"
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"1111111111111111111111111111111111111111\x001111111111111111111111111111111111111111\x001111111111111111111111111111111111111111\x00ref0000000000000000000000000000000000000000\t1111111111111111111111111111111111111111\x00ref0000000000000000000000000000000000000000\r1111111111111111111111111111111111111111\x00ref0000000000000000000000000000000000000000\x00value:1\n"
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"1111111111111111111111111111111111111111\x002222222222222222222222222222222222222222\x00\t1111111111111111111111111111111111111111\x00ref0000000000000000000000000000000000000000\x00value:2\n"
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"1111111111111111111111111111111111111111\x003333333333333333333333333333333333333333\x001111111111111111111111111111111111111111\x00ref2222222222222222222222222222222222222222\t1111111111111111111111111111111111111111\x00ref2222222222222222222222222222222222222222\r1111111111111111111111111111111111111111\x00ref2222222222222222222222222222222222222222\x00value:3\n"
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"1111111111111111111111111111111111111111\x004444444444444444444444444444444444444444\x00\t1111111111111111111111111111111111111111\x00ref0000000000000000000000000000000000000000\x00value:4\n"
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self.assertEqual(expected_node, node_bytes)
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def test_2_leaves_1_0(self):
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builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
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nodes = self.make_nodes(400, 1, 0)
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builder.add_node(*node)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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self.assertEqual(9283, len(content))
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"B+Tree Graph Index 2\nnode_ref_lists=0\nkey_elements=1\nlen=400\n"
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root = content[77:4096]
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leaf1 = content[4096:8192]
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leaf2 = content[8192:]
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root_bytes = zlib.decompress(root)
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) + ("307" * 40) + "\n"
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self.assertEqual(expected_root, root_bytes)
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# We already know serialisation works for leaves, check key selection:
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leaf1_bytes = zlib.decompress(leaf1)
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sorted_node_keys = sorted(node[0] for node in nodes)
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node = btree_index._LeafNode(leaf1_bytes, 1, 0)
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self.assertEqual(231, len(node.keys))
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self.assertEqual(sorted_node_keys[:231], sorted(node.keys))
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leaf2_bytes = zlib.decompress(leaf2)
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node = btree_index._LeafNode(leaf2_bytes, 1, 0)
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self.assertEqual(400 - 231, len(node.keys))
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self.assertEqual(sorted_node_keys[231:], sorted(node.keys))
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def test_last_page_rounded_1_layer(self):
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builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
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nodes = self.make_nodes(10, 1, 0)
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builder.add_node(*node)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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self.assertEqual(155, len(content))
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"B+Tree Graph Index 2\nnode_ref_lists=0\nkey_elements=1\nlen=10\n"
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# Check thelast page is well formed
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leaf2_bytes = zlib.decompress(leaf2)
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node = btree_index._LeafNode(leaf2_bytes, 1, 0)
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self.assertEqual(10, len(node.keys))
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sorted_node_keys = sorted(node[0] for node in nodes)
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self.assertEqual(sorted_node_keys, sorted(node.keys))
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def test_last_page_not_rounded_2_layer(self):
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builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
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nodes = self.make_nodes(400, 1, 0)
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builder.add_node(*node)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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self.assertEqual(9283, len(content))
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"B+Tree Graph Index 2\nnode_ref_lists=0\nkey_elements=1\nlen=400\n"
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# Check the last page is well formed
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leaf2 = content[8192:]
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leaf2_bytes = zlib.decompress(leaf2)
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node = btree_index._LeafNode(leaf2_bytes, 1, 0)
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self.assertEqual(400 - 231, len(node.keys))
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sorted_node_keys = sorted(node[0] for node in nodes)
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self.assertEqual(sorted_node_keys[231:], sorted(node.keys))
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def test_three_level_tree_details(self):
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# The left most pointer in the second internal node in a row should
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# pointer to the second node that the internal node is for, _not_
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# the first, otherwise the first node overlaps with the last node of
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# the prior internal node on that row.
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self.shrink_page_size()
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builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
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# 40K nodes is enough to create a two internal nodes on the second
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# level, with a 2K page size
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nodes = self.make_nodes(20000, 2, 2)
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builder.add_node(*node)
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t = transport.get_transport('trace+' + self.get_url(''))
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size = t.put_file('index', self.time(builder.finish))
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index = btree_index.BTreeGraphIndex(t, 'index', size)
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# Seed the metadata, we're using internal calls now.
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self.assertEqual(3, len(index._row_lengths),
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"Not enough rows: %r" % index._row_lengths)
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self.assertEqual(4, len(index._row_offsets))
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self.assertEqual(sum(index._row_lengths), index._row_offsets[-1])
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internal_nodes = index._get_internal_nodes([0, 1, 2])
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root_node = internal_nodes[0]
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internal_node1 = internal_nodes[1]
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internal_node2 = internal_nodes[2]
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# The left most node node2 points at should be one after the right most
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# node pointed at by node1.
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self.assertEqual(internal_node2.offset, 1 + len(internal_node1.keys))
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# The left most key of the second node pointed at by internal_node2
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# should be its first key. We can check this by looking for its first key
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# in the second node it points at
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pos = index._row_offsets[2] + internal_node2.offset + 1
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leaf = index._get_leaf_nodes([pos])[pos]
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self.assertTrue(internal_node2.keys[0] in leaf.keys)
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def test_2_leaves_2_2(self):
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builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
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nodes = self.make_nodes(100, 2, 2)
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builder.add_node(*node)
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# NamedTemporaryFile dies on builder.finish().read(). weird.
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temp_file = builder.finish()
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content = temp_file.read()
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self.assertEqual(12643, len(content))
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"B+Tree Graph Index 2\nnode_ref_lists=2\nkey_elements=2\nlen=200\n"
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root = content[77:4096]
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leaf1 = content[4096:8192]
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leaf2 = content[8192:12288]
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leaf3 = content[12288:]
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root_bytes = zlib.decompress(root)
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+ ("0" * 40) + "\x00" + ("91" * 40) + "\n"
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+ ("1" * 40) + "\x00" + ("81" * 40) + "\n"
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self.assertEqual(expected_root, root_bytes)
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# We assume the other leaf nodes have been written correctly - layering
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def test_spill_index_stress_1_1(self):
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builder = btree_index.BTreeBuilder(key_elements=1, spill_at=2)
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nodes = [node[0:2] for node in self.make_nodes(16, 1, 0)]
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builder.add_node(*nodes[0])
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# Test the parts of the index that take up memory are doing so
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self.assertEqual(1, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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builder.add_node(*nodes[1])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(1, len(builder._backing_indices))
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self.assertEqual(2, builder._backing_indices[0].key_count())
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builder.add_node(*nodes[2])
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self.assertEqual(1, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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# And spills to a second backing index combing all
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builder.add_node(*nodes[3])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(2, len(builder._backing_indices))
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self.assertEqual(None, builder._backing_indices[0])
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self.assertEqual(4, builder._backing_indices[1].key_count())
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# The next spills to the 2-len slot
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builder.add_node(*nodes[4])
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builder.add_node(*nodes[5])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(2, len(builder._backing_indices))
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self.assertEqual(2, builder._backing_indices[0].key_count())
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self.assertEqual(4, builder._backing_indices[1].key_count())
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# Next spill combines
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builder.add_node(*nodes[6])
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builder.add_node(*nodes[7])
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self.assertEqual(3, len(builder._backing_indices))
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self.assertEqual(None, builder._backing_indices[0])
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self.assertEqual(None, builder._backing_indices[1])
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self.assertEqual(8, builder._backing_indices[2].key_count())
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# And so forth - counting up in binary.
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builder.add_node(*nodes[8])
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builder.add_node(*nodes[9])
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self.assertEqual(3, len(builder._backing_indices))
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self.assertEqual(2, builder._backing_indices[0].key_count())
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self.assertEqual(None, builder._backing_indices[1])
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self.assertEqual(8, builder._backing_indices[2].key_count())
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builder.add_node(*nodes[10])
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builder.add_node(*nodes[11])
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self.assertEqual(3, len(builder._backing_indices))
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self.assertEqual(None, builder._backing_indices[0])
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self.assertEqual(4, builder._backing_indices[1].key_count())
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self.assertEqual(8, builder._backing_indices[2].key_count())
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builder.add_node(*nodes[12])
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# Test that memory and disk are both used for query methods; and that
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# None is skipped over happily.
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self.assertEqual([(builder,) + node for node in sorted(nodes[:13])],
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list(builder.iter_all_entries()))
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# Two nodes - one memory one disk
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self.assertEqual(set([(builder,) + node for node in nodes[11:13]]),
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set(builder.iter_entries([nodes[12][0], nodes[11][0]])))
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self.assertEqual(13, builder.key_count())
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self.assertEqual(set([(builder,) + node for node in nodes[11:13]]),
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set(builder.iter_entries_prefix([nodes[12][0], nodes[11][0]])))
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builder.add_node(*nodes[13])
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self.assertEqual(3, len(builder._backing_indices))
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self.assertEqual(2, builder._backing_indices[0].key_count())
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self.assertEqual(4, builder._backing_indices[1].key_count())
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self.assertEqual(8, builder._backing_indices[2].key_count())
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builder.add_node(*nodes[14])
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builder.add_node(*nodes[15])
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self.assertEqual(4, len(builder._backing_indices))
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self.assertEqual(None, builder._backing_indices[0])
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self.assertEqual(None, builder._backing_indices[1])
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self.assertEqual(None, builder._backing_indices[2])
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self.assertEqual(16, builder._backing_indices[3].key_count())
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# Now finish, and check we got a correctly ordered tree
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t = self.get_transport('')
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size = t.put_file('index', builder.finish())
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index = btree_index.BTreeGraphIndex(t, 'index', size)
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nodes = list(index.iter_all_entries())
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self.assertEqual(sorted(nodes), nodes)
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self.assertEqual(16, len(nodes))
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def test_spill_index_stress_1_1_no_combine(self):
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builder = btree_index.BTreeBuilder(key_elements=1, spill_at=2)
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builder.set_optimize(for_size=False, combine_backing_indices=False)
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nodes = [node[0:2] for node in self.make_nodes(16, 1, 0)]
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builder.add_node(*nodes[0])
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# Test the parts of the index that take up memory are doing so
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self.assertEqual(1, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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builder.add_node(*nodes[1])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(1, len(builder._backing_indices))
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self.assertEqual(2, builder._backing_indices[0].key_count())
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builder.add_node(*nodes[2])
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self.assertEqual(1, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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# And spills to a second backing index but doesn't combine
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builder.add_node(*nodes[3])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(2, len(builder._backing_indices))
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for backing_index in builder._backing_indices:
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self.assertEqual(2, backing_index.key_count())
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# The next spills to the 3rd slot
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builder.add_node(*nodes[4])
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builder.add_node(*nodes[5])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(3, len(builder._backing_indices))
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for backing_index in builder._backing_indices:
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self.assertEqual(2, backing_index.key_count())
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# Now spill a few more, and check that we don't combine
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builder.add_node(*nodes[6])
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builder.add_node(*nodes[7])
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builder.add_node(*nodes[8])
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builder.add_node(*nodes[9])
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builder.add_node(*nodes[10])
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builder.add_node(*nodes[11])
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builder.add_node(*nodes[12])
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self.assertEqual(6, len(builder._backing_indices))
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for backing_index in builder._backing_indices:
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self.assertEqual(2, backing_index.key_count())
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# Test that memory and disk are both used for query methods; and that
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# None is skipped over happily.
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self.assertEqual([(builder,) + node for node in sorted(nodes[:13])],
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list(builder.iter_all_entries()))
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# Two nodes - one memory one disk
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self.assertEqual(set([(builder,) + node for node in nodes[11:13]]),
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set(builder.iter_entries([nodes[12][0], nodes[11][0]])))
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self.assertEqual(13, builder.key_count())
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self.assertEqual(set([(builder,) + node for node in nodes[11:13]]),
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set(builder.iter_entries_prefix([nodes[12][0], nodes[11][0]])))
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builder.add_node(*nodes[13])
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builder.add_node(*nodes[14])
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builder.add_node(*nodes[15])
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self.assertEqual(8, len(builder._backing_indices))
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for backing_index in builder._backing_indices:
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self.assertEqual(2, backing_index.key_count())
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# Now finish, and check we got a correctly ordered tree
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transport = self.get_transport('')
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size = transport.put_file('index', builder.finish())
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index = btree_index.BTreeGraphIndex(transport, 'index', size)
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nodes = list(index.iter_all_entries())
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self.assertEqual(sorted(nodes), nodes)
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self.assertEqual(16, len(nodes))
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def test_set_optimize(self):
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builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
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builder.set_optimize(for_size=True)
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self.assertTrue(builder._optimize_for_size)
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builder.set_optimize(for_size=False)
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self.assertFalse(builder._optimize_for_size)
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# test that we can set combine_backing_indices without effecting
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builder._optimize_for_size = obj
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builder.set_optimize(combine_backing_indices=False)
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self.assertFalse(builder._combine_backing_indices)
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self.assertIs(obj, builder._optimize_for_size)
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builder.set_optimize(combine_backing_indices=True)
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self.assertTrue(builder._combine_backing_indices)
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self.assertIs(obj, builder._optimize_for_size)
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def test_spill_index_stress_2_2(self):
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# test that references and longer keys don't confuse things.
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builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2,
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nodes = self.make_nodes(16, 2, 2)
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builder.add_node(*nodes[0])
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# Test the parts of the index that take up memory are doing so
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self.assertEqual(1, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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builder.add_node(*nodes[1])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(1, len(builder._backing_indices))
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self.assertEqual(2, builder._backing_indices[0].key_count())
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old = dict(builder._get_nodes_by_key()) #Build up the nodes by key dict
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builder.add_node(*nodes[2])
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self.assertEqual(1, len(builder._nodes))
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self.assertIsNot(None, builder._nodes_by_key)
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self.assertNotEqual({}, builder._nodes_by_key)
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# We should have a new entry
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self.assertNotEqual(old, builder._nodes_by_key)
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# And spills to a second backing index combing all
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builder.add_node(*nodes[3])
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self.assertEqual(0, len(builder._nodes))
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self.assertIs(None, builder._nodes_by_key)
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self.assertEqual(2, len(builder._backing_indices))
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self.assertEqual(None, builder._backing_indices[0])
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self.assertEqual(4, builder._backing_indices[1].key_count())
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# The next spills to the 2-len slot
535
builder.add_node(*nodes[4])
536
builder.add_node(*nodes[5])
537
self.assertEqual(0, len(builder._nodes))
538
self.assertIs(None, builder._nodes_by_key)
539
self.assertEqual(2, len(builder._backing_indices))
540
self.assertEqual(2, builder._backing_indices[0].key_count())
541
self.assertEqual(4, builder._backing_indices[1].key_count())
542
# Next spill combines
543
builder.add_node(*nodes[6])
544
builder.add_node(*nodes[7])
545
self.assertEqual(3, len(builder._backing_indices))
546
self.assertEqual(None, builder._backing_indices[0])
547
self.assertEqual(None, builder._backing_indices[1])
548
self.assertEqual(8, builder._backing_indices[2].key_count())
549
# And so forth - counting up in binary.
550
builder.add_node(*nodes[8])
551
builder.add_node(*nodes[9])
552
self.assertEqual(3, len(builder._backing_indices))
553
self.assertEqual(2, builder._backing_indices[0].key_count())
554
self.assertEqual(None, builder._backing_indices[1])
555
self.assertEqual(8, builder._backing_indices[2].key_count())
556
builder.add_node(*nodes[10])
557
builder.add_node(*nodes[11])
558
self.assertEqual(3, len(builder._backing_indices))
559
self.assertEqual(None, builder._backing_indices[0])
560
self.assertEqual(4, builder._backing_indices[1].key_count())
561
self.assertEqual(8, builder._backing_indices[2].key_count())
562
builder.add_node(*nodes[12])
563
# Test that memory and disk are both used for query methods; and that
564
# None is skipped over happily.
565
self.assertEqual([(builder,) + node for node in sorted(nodes[:13])],
566
list(builder.iter_all_entries()))
567
# Two nodes - one memory one disk
568
self.assertEqual(set([(builder,) + node for node in nodes[11:13]]),
569
set(builder.iter_entries([nodes[12][0], nodes[11][0]])))
570
self.assertEqual(13, builder.key_count())
571
self.assertEqual(set([(builder,) + node for node in nodes[11:13]]),
572
set(builder.iter_entries_prefix([nodes[12][0], nodes[11][0]])))
573
builder.add_node(*nodes[13])
574
self.assertEqual(3, len(builder._backing_indices))
575
self.assertEqual(2, builder._backing_indices[0].key_count())
576
self.assertEqual(4, builder._backing_indices[1].key_count())
577
self.assertEqual(8, builder._backing_indices[2].key_count())
578
builder.add_node(*nodes[14])
579
builder.add_node(*nodes[15])
580
self.assertEqual(4, len(builder._backing_indices))
581
self.assertEqual(None, builder._backing_indices[0])
582
self.assertEqual(None, builder._backing_indices[1])
583
self.assertEqual(None, builder._backing_indices[2])
584
self.assertEqual(16, builder._backing_indices[3].key_count())
585
# Now finish, and check we got a correctly ordered tree
586
transport = self.get_transport('')
587
size = transport.put_file('index', builder.finish())
588
index = btree_index.BTreeGraphIndex(transport, 'index', size)
589
nodes = list(index.iter_all_entries())
590
self.assertEqual(sorted(nodes), nodes)
591
self.assertEqual(16, len(nodes))
593
def test_spill_index_duplicate_key_caught_on_finish(self):
594
builder = btree_index.BTreeBuilder(key_elements=1, spill_at=2)
595
nodes = [node[0:2] for node in self.make_nodes(16, 1, 0)]
596
builder.add_node(*nodes[0])
597
builder.add_node(*nodes[1])
598
builder.add_node(*nodes[0])
599
self.assertRaises(errors.BadIndexDuplicateKey, builder.finish)
602
class TestBTreeIndex(BTreeTestCase):
604
def make_index(self, ref_lists=0, key_elements=1, nodes=[]):
605
builder = btree_index.BTreeBuilder(reference_lists=ref_lists,
606
key_elements=key_elements)
607
for key, value, references in nodes:
608
builder.add_node(key, value, references)
609
stream = builder.finish()
610
trans = transport.get_transport('trace+' + self.get_url())
611
size = trans.put_file('index', stream)
612
return btree_index.BTreeGraphIndex(trans, 'index', size)
614
def make_index_with_offset(self, ref_lists=1, key_elements=1, nodes=[],
616
builder = btree_index.BTreeBuilder(key_elements=key_elements,
617
reference_lists=ref_lists)
618
builder.add_nodes(nodes)
619
transport = self.get_transport('')
620
# NamedTemporaryFile dies on builder.finish().read(). weird.
621
temp_file = builder.finish()
622
content = temp_file.read()
625
transport.put_bytes('index', (' '*offset)+content)
626
return btree_index.BTreeGraphIndex(transport, 'index', size=size,
629
def test_clear_cache(self):
630
nodes = self.make_nodes(160, 2, 2)
631
index = self.make_index(ref_lists=2, key_elements=2, nodes=nodes)
632
self.assertEqual(1, len(list(index.iter_entries([nodes[30][0]]))))
633
self.assertEqual([1, 4], index._row_lengths)
634
self.assertIsNot(None, index._root_node)
635
internal_node_pre_clear = index._internal_node_cache.keys()
636
self.assertTrue(len(index._leaf_node_cache) > 0)
638
# We don't touch _root_node or _internal_node_cache, both should be
639
# small, and can save a round trip or two
640
self.assertIsNot(None, index._root_node)
641
# NOTE: We don't want to affect the _internal_node_cache, as we expect
642
# it will be small, and if we ever do touch this index again, it
643
# will save round-trips. This assertion isn't very strong,
644
# becuase without a 3-level index, we don't have any internal
646
self.assertEqual(internal_node_pre_clear,
647
index._internal_node_cache.keys())
648
self.assertEqual(0, len(index._leaf_node_cache))
650
def test_trivial_constructor(self):
651
t = transport.get_transport('trace+' + self.get_url(''))
652
index = btree_index.BTreeGraphIndex(t, 'index', None)
653
# Checks the page size at load, but that isn't logged yet.
654
self.assertEqual([], t._activity)
656
def test_with_size_constructor(self):
657
t = transport.get_transport('trace+' + self.get_url(''))
658
index = btree_index.BTreeGraphIndex(t, 'index', 1)
659
# Checks the page size at load, but that isn't logged yet.
660
self.assertEqual([], t._activity)
662
def test_empty_key_count_no_size(self):
663
builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
664
t = transport.get_transport('trace+' + self.get_url(''))
665
t.put_file('index', builder.finish())
666
index = btree_index.BTreeGraphIndex(t, 'index', None)
668
self.assertEqual([], t._activity)
669
self.assertEqual(0, index.key_count())
670
# The entire index should have been requested (as we generally have the
671
# size available, and doing many small readvs is inappropriate).
672
# We can't tell how much was actually read here, but - check the code.
673
self.assertEqual([('get', 'index')], t._activity)
675
def test_empty_key_count(self):
676
builder = btree_index.BTreeBuilder(key_elements=1, reference_lists=0)
677
t = transport.get_transport('trace+' + self.get_url(''))
678
size = t.put_file('index', builder.finish())
679
self.assertEqual(72, size)
680
index = btree_index.BTreeGraphIndex(t, 'index', size)
682
self.assertEqual([], t._activity)
683
self.assertEqual(0, index.key_count())
684
# The entire index should have been read, as 4K > size
685
self.assertEqual([('readv', 'index', [(0, 72)], False, None)],
688
def test_non_empty_key_count_2_2(self):
689
builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
690
nodes = self.make_nodes(35, 2, 2)
692
builder.add_node(*node)
693
t = transport.get_transport('trace+' + self.get_url(''))
694
size = t.put_file('index', builder.finish())
695
index = btree_index.BTreeGraphIndex(t, 'index', size)
697
self.assertEqual([], t._activity)
698
self.assertEqual(70, index.key_count())
699
# The entire index should have been read, as it is one page long.
700
self.assertEqual([('readv', 'index', [(0, size)], False, None)],
702
self.assertEqual(1173, size)
704
def test_with_offset_no_size(self):
705
index = self.make_index_with_offset(key_elements=1, ref_lists=1,
707
nodes=self.make_nodes(200, 1, 1))
708
index._size = None # throw away the size info
709
self.assertEqual(200, index.key_count())
711
def test_with_small_offset(self):
712
index = self.make_index_with_offset(key_elements=1, ref_lists=1,
714
nodes=self.make_nodes(200, 1, 1))
715
self.assertEqual(200, index.key_count())
717
def test_with_large_offset(self):
718
index = self.make_index_with_offset(key_elements=1, ref_lists=1,
720
nodes=self.make_nodes(200, 1, 1))
721
self.assertEqual(200, index.key_count())
723
def test__read_nodes_no_size_one_page_reads_once(self):
724
self.make_index(nodes=[(('key',), 'value', ())])
725
trans = transport.get_transport('trace+' + self.get_url())
726
index = btree_index.BTreeGraphIndex(trans, 'index', None)
727
del trans._activity[:]
728
nodes = dict(index._read_nodes([0]))
729
self.assertEqual([0], nodes.keys())
731
self.assertEqual([('key',)], node.keys.keys())
732
self.assertEqual([('get', 'index')], trans._activity)
734
def test__read_nodes_no_size_multiple_pages(self):
735
index = self.make_index(2, 2, nodes=self.make_nodes(160, 2, 2))
737
num_pages = index._row_offsets[-1]
738
# Reopen with a traced transport and no size
739
trans = transport.get_transport('trace+' + self.get_url())
740
index = btree_index.BTreeGraphIndex(trans, 'index', None)
741
del trans._activity[:]
742
nodes = dict(index._read_nodes([0]))
743
self.assertEqual(range(num_pages), nodes.keys())
745
def test_2_levels_key_count_2_2(self):
746
builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
747
nodes = self.make_nodes(160, 2, 2)
749
builder.add_node(*node)
750
t = transport.get_transport('trace+' + self.get_url(''))
751
size = t.put_file('index', builder.finish())
752
self.assertEqual(17692, size)
753
index = btree_index.BTreeGraphIndex(t, 'index', size)
755
self.assertEqual([], t._activity)
756
self.assertEqual(320, index.key_count())
757
# The entire index should not have been read.
758
self.assertEqual([('readv', 'index', [(0, 4096)], False, None)],
761
def test_validate_one_page(self):
762
builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
763
nodes = self.make_nodes(45, 2, 2)
765
builder.add_node(*node)
766
t = transport.get_transport('trace+' + self.get_url(''))
767
size = t.put_file('index', builder.finish())
768
index = btree_index.BTreeGraphIndex(t, 'index', size)
770
self.assertEqual([], t._activity)
772
# The entire index should have been read linearly.
773
self.assertEqual([('readv', 'index', [(0, size)], False, None)],
775
self.assertEqual(1488, size)
777
def test_validate_two_pages(self):
778
builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
779
nodes = self.make_nodes(80, 2, 2)
781
builder.add_node(*node)
782
t = transport.get_transport('trace+' + self.get_url(''))
783
size = t.put_file('index', builder.finish())
784
# Root page, 2 leaf pages
785
self.assertEqual(9339, size)
786
index = btree_index.BTreeGraphIndex(t, 'index', size)
788
self.assertEqual([], t._activity)
790
# The entire index should have been read linearly.
792
[('readv', 'index', [(0, 4096)], False, None),
793
('readv', 'index', [(4096, 4096), (8192, 1147)], False, None)],
795
# XXX: TODO: write some badly-ordered nodes, and some pointers-to-wrong
796
# node and make validate find them.
798
def test_eq_ne(self):
799
# two indices are equal when constructed with the same parameters:
800
t1 = transport.get_transport('trace+' + self.get_url(''))
801
t2 = transport.get_transport(self.get_url(''))
803
btree_index.BTreeGraphIndex(t1, 'index', None) ==
804
btree_index.BTreeGraphIndex(t1, 'index', None))
806
btree_index.BTreeGraphIndex(t1, 'index', 20) ==
807
btree_index.BTreeGraphIndex(t1, 'index', 20))
809
btree_index.BTreeGraphIndex(t1, 'index', 20) ==
810
btree_index.BTreeGraphIndex(t2, 'index', 20))
812
btree_index.BTreeGraphIndex(t1, 'inde1', 20) ==
813
btree_index.BTreeGraphIndex(t1, 'inde2', 20))
815
btree_index.BTreeGraphIndex(t1, 'index', 10) ==
816
btree_index.BTreeGraphIndex(t1, 'index', 20))
818
btree_index.BTreeGraphIndex(t1, 'index', None) !=
819
btree_index.BTreeGraphIndex(t1, 'index', None))
821
btree_index.BTreeGraphIndex(t1, 'index', 20) !=
822
btree_index.BTreeGraphIndex(t1, 'index', 20))
824
btree_index.BTreeGraphIndex(t1, 'index', 20) !=
825
btree_index.BTreeGraphIndex(t2, 'index', 20))
827
btree_index.BTreeGraphIndex(t1, 'inde1', 20) !=
828
btree_index.BTreeGraphIndex(t1, 'inde2', 20))
830
btree_index.BTreeGraphIndex(t1, 'index', 10) !=
831
btree_index.BTreeGraphIndex(t1, 'index', 20))
833
def test_iter_all_only_root_no_size(self):
834
self.make_index(nodes=[(('key',), 'value', ())])
835
t = transport.get_transport('trace+' + self.get_url(''))
836
index = btree_index.BTreeGraphIndex(t, 'index', None)
838
self.assertEqual([(('key',), 'value')],
839
[x[1:] for x in index.iter_all_entries()])
840
self.assertEqual([('get', 'index')], t._activity)
842
def test_iter_all_entries_reads(self):
843
# iterating all entries reads the header, then does a linear
845
self.shrink_page_size()
846
builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
847
# 20k nodes is enough to create a two internal nodes on the second
848
# level, with a 2K page size
849
nodes = self.make_nodes(10000, 2, 2)
851
builder.add_node(*node)
852
t = transport.get_transport('trace+' + self.get_url(''))
853
size = t.put_file('index', builder.finish())
854
self.assertEqual(1303220, size, 'number of expected bytes in the'
856
page_size = btree_index._PAGE_SIZE
858
index = btree_index.BTreeGraphIndex(t, 'index', size)
860
self.assertEqual([], t._activity)
861
found_nodes = self.time(list, index.iter_all_entries())
863
for node in found_nodes:
864
self.assertTrue(node[0] is index)
865
bare_nodes.append(node[1:])
866
self.assertEqual(3, len(index._row_lengths),
867
"Not enough rows: %r" % index._row_lengths)
868
# Should be as long as the nodes we supplied
869
self.assertEqual(20000, len(found_nodes))
870
# Should have the same content
871
self.assertEqual(set(nodes), set(bare_nodes))
872
# Should have done linear scan IO up the index, ignoring
873
# the internal nodes:
874
# The entire index should have been read
875
total_pages = sum(index._row_lengths)
876
self.assertEqual(total_pages, index._row_offsets[-1])
877
self.assertEqual(1303220, size)
878
# The start of the leaves
879
first_byte = index._row_offsets[-2] * page_size
881
for offset in range(first_byte, size, page_size):
882
readv_request.append((offset, page_size))
883
# The last page is truncated
884
readv_request[-1] = (readv_request[-1][0], 1303220 % page_size)
885
expected = [('readv', 'index', [(0, page_size)], False, None),
886
('readv', 'index', readv_request, False, None)]
887
if expected != t._activity:
888
self.assertEqualDiff(pprint.pformat(expected),
889
pprint.pformat(transport._activity))
891
def _test_iter_entries_references_resolved(self):
892
index = self.make_index(1, nodes=[
893
(('name', ), 'data', ([('ref', ), ('ref', )], )),
894
(('ref', ), 'refdata', ([], ))])
895
self.assertEqual(set([(index, ('name', ), 'data', ((('ref',),('ref',)),)),
896
(index, ('ref', ), 'refdata', ((), ))]),
897
set(index.iter_entries([('name',), ('ref',)])))
899
def test_iter_entries_references_2_refs_resolved(self):
900
# iterating some entries reads just the pages needed. For now, to
901
# get it working and start measuring, only 4K pages are read.
902
builder = btree_index.BTreeBuilder(key_elements=2, reference_lists=2)
903
# 80 nodes is enough to create a two-level index.
904
nodes = self.make_nodes(160, 2, 2)
906
builder.add_node(*node)
907
t = transport.get_transport('trace+' + self.get_url(''))
908
size = t.put_file('index', builder.finish())
910
index = btree_index.BTreeGraphIndex(t, 'index', size)
912
self.assertEqual([], t._activity)
914
found_nodes = list(index.iter_entries([nodes[30][0]]))
916
for node in found_nodes:
917
self.assertTrue(node[0] is index)
918
bare_nodes.append(node[1:])
919
# Should be as long as the nodes we supplied
920
self.assertEqual(1, len(found_nodes))
921
# Should have the same content
922
self.assertEqual(nodes[30], bare_nodes[0])
923
# Should have read the root node, then one leaf page:
924
self.assertEqual([('readv', 'index', [(0, 4096)], False, None),
925
('readv', 'index', [(8192, 4096), ], False, None)],
928
def test_iter_key_prefix_1_element_key_None(self):
929
index = self.make_index()
930
self.assertRaises(errors.BadIndexKey, list,
931
index.iter_entries_prefix([(None, )]))
933
def test_iter_key_prefix_wrong_length(self):
934
index = self.make_index()
935
self.assertRaises(errors.BadIndexKey, list,
936
index.iter_entries_prefix([('foo', None)]))
937
index = self.make_index(key_elements=2)
938
self.assertRaises(errors.BadIndexKey, list,
939
index.iter_entries_prefix([('foo', )]))
940
self.assertRaises(errors.BadIndexKey, list,
941
index.iter_entries_prefix([('foo', None, None)]))
943
def test_iter_key_prefix_1_key_element_no_refs(self):
944
index = self.make_index( nodes=[
945
(('name', ), 'data', ()),
946
(('ref', ), 'refdata', ())])
947
self.assertEqual(set([(index, ('name', ), 'data'),
948
(index, ('ref', ), 'refdata')]),
949
set(index.iter_entries_prefix([('name', ), ('ref', )])))
951
def test_iter_key_prefix_1_key_element_refs(self):
952
index = self.make_index(1, nodes=[
953
(('name', ), 'data', ([('ref', )], )),
954
(('ref', ), 'refdata', ([], ))])
955
self.assertEqual(set([(index, ('name', ), 'data', ((('ref',),),)),
956
(index, ('ref', ), 'refdata', ((), ))]),
957
set(index.iter_entries_prefix([('name', ), ('ref', )])))
959
def test_iter_key_prefix_2_key_element_no_refs(self):
960
index = self.make_index(key_elements=2, nodes=[
961
(('name', 'fin1'), 'data', ()),
962
(('name', 'fin2'), 'beta', ()),
963
(('ref', 'erence'), 'refdata', ())])
964
self.assertEqual(set([(index, ('name', 'fin1'), 'data'),
965
(index, ('ref', 'erence'), 'refdata')]),
966
set(index.iter_entries_prefix([('name', 'fin1'), ('ref', 'erence')])))
967
self.assertEqual(set([(index, ('name', 'fin1'), 'data'),
968
(index, ('name', 'fin2'), 'beta')]),
969
set(index.iter_entries_prefix([('name', None)])))
971
def test_iter_key_prefix_2_key_element_refs(self):
972
index = self.make_index(1, key_elements=2, nodes=[
973
(('name', 'fin1'), 'data', ([('ref', 'erence')], )),
974
(('name', 'fin2'), 'beta', ([], )),
975
(('ref', 'erence'), 'refdata', ([], ))])
976
self.assertEqual(set([(index, ('name', 'fin1'), 'data', ((('ref', 'erence'),),)),
977
(index, ('ref', 'erence'), 'refdata', ((), ))]),
978
set(index.iter_entries_prefix([('name', 'fin1'), ('ref', 'erence')])))
979
self.assertEqual(set([(index, ('name', 'fin1'), 'data', ((('ref', 'erence'),),)),
980
(index, ('name', 'fin2'), 'beta', ((), ))]),
981
set(index.iter_entries_prefix([('name', None)])))
983
# XXX: external_references tests are duplicated in test_index. We
984
# probably should have per_graph_index tests...
985
def test_external_references_no_refs(self):
986
index = self.make_index(ref_lists=0, nodes=[])
987
self.assertRaises(ValueError, index.external_references, 0)
989
def test_external_references_no_results(self):
990
index = self.make_index(ref_lists=1, nodes=[
991
(('key',), 'value', ([],))])
992
self.assertEqual(set(), index.external_references(0))
994
def test_external_references_missing_ref(self):
995
missing_key = ('missing',)
996
index = self.make_index(ref_lists=1, nodes=[
997
(('key',), 'value', ([missing_key],))])
998
self.assertEqual(set([missing_key]), index.external_references(0))
1000
def test_external_references_multiple_ref_lists(self):
1001
missing_key = ('missing',)
1002
index = self.make_index(ref_lists=2, nodes=[
1003
(('key',), 'value', ([], [missing_key]))])
1004
self.assertEqual(set([]), index.external_references(0))
1005
self.assertEqual(set([missing_key]), index.external_references(1))
1007
def test_external_references_two_records(self):
1008
index = self.make_index(ref_lists=1, nodes=[
1009
(('key-1',), 'value', ([('key-2',)],)),
1010
(('key-2',), 'value', ([],)),
1012
self.assertEqual(set([]), index.external_references(0))
1014
def test__find_ancestors_one_page(self):
1017
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1018
(key1, 'value', ([key2],)),
1019
(key2, 'value', ([],)),
1022
missing_keys = set()
1023
search_keys = index._find_ancestors([key1], 0, parent_map, missing_keys)
1024
self.assertEqual({key1: (key2,), key2: ()}, parent_map)
1025
self.assertEqual(set(), missing_keys)
1026
self.assertEqual(set(), search_keys)
1028
def test__find_ancestors_one_page_w_missing(self):
1032
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1033
(key1, 'value', ([key2],)),
1034
(key2, 'value', ([],)),
1037
missing_keys = set()
1038
search_keys = index._find_ancestors([key2, key3], 0, parent_map,
1040
self.assertEqual({key2: ()}, parent_map)
1041
# we know that key3 is missing because we read the page that it would
1043
self.assertEqual(set([key3]), missing_keys)
1044
self.assertEqual(set(), search_keys)
1046
def test__find_ancestors_one_parent_missing(self):
1050
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1051
(key1, 'value', ([key2],)),
1052
(key2, 'value', ([key3],)),
1055
missing_keys = set()
1056
search_keys = index._find_ancestors([key1], 0, parent_map,
1058
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1059
self.assertEqual(set(), missing_keys)
1060
# all we know is that key3 wasn't present on the page we were reading
1061
# but if you look, the last key is key2 which comes before key3, so we
1062
# don't know whether key3 would land on this page or not.
1063
self.assertEqual(set([key3]), search_keys)
1064
search_keys = index._find_ancestors(search_keys, 0, parent_map,
1066
# passing it back in, we are sure it is 'missing'
1067
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1068
self.assertEqual(set([key3]), missing_keys)
1069
self.assertEqual(set([]), search_keys)
1071
def test__find_ancestors_dont_search_known(self):
1075
index = self.make_index(ref_lists=1, key_elements=1, nodes=[
1076
(key1, 'value', ([key2],)),
1077
(key2, 'value', ([key3],)),
1078
(key3, 'value', ([],)),
1080
# We already know about key2, so we won't try to search for key3
1081
parent_map = {key2: (key3,)}
1082
missing_keys = set()
1083
search_keys = index._find_ancestors([key1], 0, parent_map,
1085
self.assertEqual({key1: (key2,), key2: (key3,)}, parent_map)
1086
self.assertEqual(set(), missing_keys)
1087
self.assertEqual(set(), search_keys)
1089
def test__find_ancestors_multiple_pages(self):
1090
# We need to use enough keys that we actually cause a split
1091
start_time = 1249671539
1092
email = "joebob@example.com"
1096
for i in xrange(400):
1097
rev_id = '%s-%s-%s' % (email,
1098
osutils.compact_date(start_time + i),
1099
osutils.rand_chars(16))
1101
nodes.append((rev_key, 'value', ref_lists))
1102
# We have a ref 'list' of length 1, with a list of parents, with 1
1103
# parent which is a key
1104
ref_lists = ((rev_key,),)
1105
rev_keys.append(rev_key)
1106
index = self.make_index(ref_lists=1, key_elements=1, nodes=nodes)
1107
self.assertEqual(400, index.key_count())
1108
self.assertEqual(3, len(index._row_offsets))
1109
nodes = dict(index._read_nodes([1, 2]))
1112
min_l2_key = l2.min_key
1113
max_l1_key = l1.max_key
1114
self.assertTrue(max_l1_key < min_l2_key)
1115
parents_min_l2_key = l2.keys[min_l2_key][1][0]
1116
self.assertEqual((l1.max_key,), parents_min_l2_key)
1117
# Now, whatever key we select that would fall on the second page,
1118
# should give us all the parents until the page break
1119
key_idx = rev_keys.index(min_l2_key)
1120
next_key = rev_keys[key_idx+1]
1121
# So now when we get the parent map, we should get the key we are
1122
# looking for, min_l2_key, and then a reference to go look for the
1123
# parent of that key
1125
missing_keys = set()
1126
search_keys = index._find_ancestors([next_key], 0, parent_map,
1128
self.assertEqual([min_l2_key, next_key], sorted(parent_map))
1129
self.assertEqual(set(), missing_keys)
1130
self.assertEqual(set([max_l1_key]), search_keys)
1132
search_keys = index._find_ancestors([max_l1_key], 0, parent_map,
1134
self.assertEqual(sorted(l1.keys), sorted(parent_map))
1135
self.assertEqual(set(), missing_keys)
1136
self.assertEqual(set(), search_keys)
1138
def test__find_ancestors_empty_index(self):
1139
index = self.make_index(ref_lists=1, key_elements=1, nodes=[])
1141
missing_keys = set()
1142
search_keys = index._find_ancestors([('one',), ('two',)], 0, parent_map,
1144
self.assertEqual(set(), search_keys)
1145
self.assertEqual({}, parent_map)
1146
self.assertEqual(set([('one',), ('two',)]), missing_keys)
1148
def test_supports_unlimited_cache(self):
1149
builder = btree_index.BTreeBuilder(reference_lists=0, key_elements=1)
1150
# We need enough nodes to cause a page split (so we have both an
1151
# internal node and a couple leaf nodes. 500 seems to be enough.)
1152
nodes = self.make_nodes(500, 1, 0)
1154
builder.add_node(*node)
1155
stream = builder.finish()
1156
trans = transport.get_transport(self.get_url())
1157
size = trans.put_file('index', stream)
1158
index = btree_index.BTreeGraphIndex(trans, 'index', size)
1159
self.assertEqual(500, index.key_count())
1160
# We have an internal node
1161
self.assertEqual(2, len(index._row_lengths))
1162
# We have at least 2 leaf nodes
1163
self.assertTrue(index._row_lengths[-1] >= 2)
1164
self.assertIsInstance(index._leaf_node_cache, lru_cache.LRUCache)
1165
self.assertEqual(btree_index._NODE_CACHE_SIZE,
1166
index._leaf_node_cache._max_cache)
1167
self.assertIsInstance(index._internal_node_cache, fifo_cache.FIFOCache)
1168
self.assertEqual(100, index._internal_node_cache._max_cache)
1169
# No change if unlimited_cache=False is passed
1170
index = btree_index.BTreeGraphIndex(trans, 'index', size,
1171
unlimited_cache=False)
1172
self.assertIsInstance(index._leaf_node_cache, lru_cache.LRUCache)
1173
self.assertEqual(btree_index._NODE_CACHE_SIZE,
1174
index._leaf_node_cache._max_cache)
1175
self.assertIsInstance(index._internal_node_cache, fifo_cache.FIFOCache)
1176
self.assertEqual(100, index._internal_node_cache._max_cache)
1177
index = btree_index.BTreeGraphIndex(trans, 'index', size,
1178
unlimited_cache=True)
1179
self.assertIsInstance(index._leaf_node_cache, dict)
1180
self.assertIs(type(index._internal_node_cache), dict)
1181
# Exercise the lookup code
1182
entries = set(index.iter_entries([n[0] for n in nodes]))
1183
self.assertEqual(500, len(entries))
1186
class TestBTreeNodes(BTreeTestCase):
1189
BTreeTestCase.setUp(self)
1190
self.overrideAttr(btree_index, '_btree_serializer', self.parse_btree)
1192
def test_LeafNode_1_0(self):
1193
node_bytes = ("type=leaf\n"
1194
"0000000000000000000000000000000000000000\x00\x00value:0\n"
1195
"1111111111111111111111111111111111111111\x00\x00value:1\n"
1196
"2222222222222222222222222222222222222222\x00\x00value:2\n"
1197
"3333333333333333333333333333333333333333\x00\x00value:3\n"
1198
"4444444444444444444444444444444444444444\x00\x00value:4\n")
1199
node = btree_index._LeafNode(node_bytes, 1, 0)
1200
# We do direct access, or don't care about order, to leaf nodes most of
1201
# the time, so a dict is useful:
1203
("0000000000000000000000000000000000000000",): ("value:0", ()),
1204
("1111111111111111111111111111111111111111",): ("value:1", ()),
1205
("2222222222222222222222222222222222222222",): ("value:2", ()),
1206
("3333333333333333333333333333333333333333",): ("value:3", ()),
1207
("4444444444444444444444444444444444444444",): ("value:4", ()),
1210
def test_LeafNode_2_2(self):
1211
node_bytes = ("type=leaf\n"
1212
"00\x0000\x00\t00\x00ref00\x00value:0\n"
1213
"00\x0011\x0000\x00ref00\t00\x00ref00\r01\x00ref01\x00value:1\n"
1214
"11\x0033\x0011\x00ref22\t11\x00ref22\r11\x00ref22\x00value:3\n"
1215
"11\x0044\x00\t11\x00ref00\x00value:4\n"
1218
node = btree_index._LeafNode(node_bytes, 2, 2)
1219
# We do direct access, or don't care about order, to leaf nodes most of
1220
# the time, so a dict is useful:
1222
('00', '00'): ('value:0', ((), (('00', 'ref00'),))),
1223
('00', '11'): ('value:1',
1224
((('00', 'ref00'),), (('00', 'ref00'), ('01', 'ref01')))),
1225
('11', '33'): ('value:3',
1226
((('11', 'ref22'),), (('11', 'ref22'), ('11', 'ref22')))),
1227
('11', '44'): ('value:4', ((), (('11', 'ref00'),)))
1230
def test_InternalNode_1(self):
1231
node_bytes = ("type=internal\n"
1233
"0000000000000000000000000000000000000000\n"
1234
"1111111111111111111111111111111111111111\n"
1235
"2222222222222222222222222222222222222222\n"
1236
"3333333333333333333333333333333333333333\n"
1237
"4444444444444444444444444444444444444444\n"
1239
node = btree_index._InternalNode(node_bytes)
1240
# We want to bisect to find the right children from this node, so a
1241
# vector is most useful.
1243
("0000000000000000000000000000000000000000",),
1244
("1111111111111111111111111111111111111111",),
1245
("2222222222222222222222222222222222222222",),
1246
("3333333333333333333333333333333333333333",),
1247
("4444444444444444444444444444444444444444",),
1249
self.assertEqual(1, node.offset)
1251
def test_LeafNode_2_2(self):
1252
node_bytes = ("type=leaf\n"
1253
"00\x0000\x00\t00\x00ref00\x00value:0\n"
1254
"00\x0011\x0000\x00ref00\t00\x00ref00\r01\x00ref01\x00value:1\n"
1255
"11\x0033\x0011\x00ref22\t11\x00ref22\r11\x00ref22\x00value:3\n"
1256
"11\x0044\x00\t11\x00ref00\x00value:4\n"
1259
node = btree_index._LeafNode(node_bytes, 2, 2)
1260
# We do direct access, or don't care about order, to leaf nodes most of
1261
# the time, so a dict is useful:
1263
('00', '00'): ('value:0', ((), (('00', 'ref00'),))),
1264
('00', '11'): ('value:1',
1265
((('00', 'ref00'),), (('00', 'ref00'), ('01', 'ref01')))),
1266
('11', '33'): ('value:3',
1267
((('11', 'ref22'),), (('11', 'ref22'), ('11', 'ref22')))),
1268
('11', '44'): ('value:4', ((), (('11', 'ref00'),)))
1271
def assertFlattened(self, expected, key, value, refs):
1272
flat_key, flat_line = self.parse_btree._flatten_node(
1273
(None, key, value, refs), bool(refs))
1274
self.assertEqual('\x00'.join(key), flat_key)
1275
self.assertEqual(expected, flat_line)
1277
def test__flatten_node(self):
1278
self.assertFlattened('key\0\0value\n', ('key',), 'value', [])
1279
self.assertFlattened('key\0tuple\0\0value str\n',
1280
('key', 'tuple'), 'value str', [])
1281
self.assertFlattened('key\0tuple\0triple\0\0value str\n',
1282
('key', 'tuple', 'triple'), 'value str', [])
1283
self.assertFlattened('k\0t\0s\0ref\0value str\n',
1284
('k', 't', 's'), 'value str', [[('ref',)]])
1285
self.assertFlattened('key\0tuple\0ref\0key\0value str\n',
1286
('key', 'tuple'), 'value str', [[('ref', 'key')]])
1287
self.assertFlattened("00\x0000\x00\t00\x00ref00\x00value:0\n",
1288
('00', '00'), 'value:0', ((), (('00', 'ref00'),)))
1289
self.assertFlattened(
1290
"00\x0011\x0000\x00ref00\t00\x00ref00\r01\x00ref01\x00value:1\n",
1291
('00', '11'), 'value:1',
1292
((('00', 'ref00'),), (('00', 'ref00'), ('01', 'ref01'))))
1293
self.assertFlattened(
1294
"11\x0033\x0011\x00ref22\t11\x00ref22\r11\x00ref22\x00value:3\n",
1295
('11', '33'), 'value:3',
1296
((('11', 'ref22'),), (('11', 'ref22'), ('11', 'ref22'))))
1297
self.assertFlattened(
1298
"11\x0044\x00\t11\x00ref00\x00value:4\n",
1299
('11', '44'), 'value:4', ((), (('11', 'ref00'),)))
1302
class TestCompiledBtree(tests.TestCase):
1304
def test_exists(self):
1305
# This is just to let the user know if they don't have the feature
1307
self.requireFeature(compiled_btreeparser_feature)
1310
class TestMultiBisectRight(tests.TestCase):
1312
def assertMultiBisectRight(self, offsets, search_keys, fixed_keys):
1313
self.assertEqual(offsets,
1314
btree_index.BTreeGraphIndex._multi_bisect_right(
1315
search_keys, fixed_keys))
1317
def test_after(self):
1318
self.assertMultiBisectRight([(1, ['b'])], ['b'], ['a'])
1319
self.assertMultiBisectRight([(3, ['e', 'f', 'g'])],
1320
['e', 'f', 'g'], ['a', 'b', 'c'])
1322
def test_before(self):
1323
self.assertMultiBisectRight([(0, ['a'])], ['a'], ['b'])
1324
self.assertMultiBisectRight([(0, ['a', 'b', 'c', 'd'])],
1325
['a', 'b', 'c', 'd'], ['e', 'f', 'g'])
1327
def test_exact(self):
1328
self.assertMultiBisectRight([(1, ['a'])], ['a'], ['a'])
1329
self.assertMultiBisectRight([(1, ['a']), (2, ['b'])], ['a', 'b'], ['a', 'b'])
1330
self.assertMultiBisectRight([(1, ['a']), (3, ['c'])],
1331
['a', 'c'], ['a', 'b', 'c'])
1333
def test_inbetween(self):
1334
self.assertMultiBisectRight([(1, ['b'])], ['b'], ['a', 'c'])
1335
self.assertMultiBisectRight([(1, ['b', 'c', 'd']), (2, ['f', 'g'])],
1336
['b', 'c', 'd', 'f', 'g'], ['a', 'e', 'h'])
1338
def test_mixed(self):
1339
self.assertMultiBisectRight([(0, ['a', 'b']), (2, ['d', 'e']),
1341
['a', 'b', 'd', 'e', 'g', 'h'],
1342
['c', 'd', 'f', 'g'])
1345
class TestExpandOffsets(tests.TestCase):
1347
def make_index(self, size, recommended_pages=None):
1348
"""Make an index with a generic size.
1350
This doesn't actually create anything on disk, it just primes a
1351
BTreeGraphIndex with the recommended information.
1353
index = btree_index.BTreeGraphIndex(
1354
transport.get_transport('memory:///'), 'test-index', size=size)
1355
if recommended_pages is not None:
1356
index._recommended_pages = recommended_pages
1359
def set_cached_offsets(self, index, cached_offsets):
1360
"""Monkeypatch to give a canned answer for _get_offsets_for...()."""
1361
def _get_offsets_to_cached_pages():
1362
cached = set(cached_offsets)
1364
index._get_offsets_to_cached_pages = _get_offsets_to_cached_pages
1366
def prepare_index(self, index, node_ref_lists, key_length, key_count,
1367
row_lengths, cached_offsets):
1368
"""Setup the BTreeGraphIndex with some pre-canned information."""
1369
index.node_ref_lists = node_ref_lists
1370
index._key_length = key_length
1371
index._key_count = key_count
1372
index._row_lengths = row_lengths
1373
index._compute_row_offsets()
1374
index._root_node = btree_index._InternalNode('internal\noffset=0\n')
1375
self.set_cached_offsets(index, cached_offsets)
1377
def make_100_node_index(self):
1378
index = self.make_index(4096*100, 6)
1379
# Consider we've already made a single request at the middle
1380
self.prepare_index(index, node_ref_lists=0, key_length=1,
1381
key_count=1000, row_lengths=[1, 99],
1382
cached_offsets=[0, 50])
1385
def make_1000_node_index(self):
1386
index = self.make_index(4096*1000, 6)
1387
# Pretend we've already made a single request in the middle
1388
self.prepare_index(index, node_ref_lists=0, key_length=1,
1389
key_count=90000, row_lengths=[1, 9, 990],
1390
cached_offsets=[0, 5, 500])
1393
def assertNumPages(self, expected_pages, index, size):
1395
self.assertEqual(expected_pages, index._compute_total_pages_in_index())
1397
def assertExpandOffsets(self, expected, index, offsets):
1398
self.assertEqual(expected, index._expand_offsets(offsets),
1399
'We did not get the expected value after expanding'
1402
def test_default_recommended_pages(self):
1403
index = self.make_index(None)
1404
# local transport recommends 4096 byte reads, which is 1 page
1405
self.assertEqual(1, index._recommended_pages)
1407
def test__compute_total_pages_in_index(self):
1408
index = self.make_index(None)
1409
self.assertNumPages(1, index, 1024)
1410
self.assertNumPages(1, index, 4095)
1411
self.assertNumPages(1, index, 4096)
1412
self.assertNumPages(2, index, 4097)
1413
self.assertNumPages(2, index, 8192)
1414
self.assertNumPages(76, index, 4096*75 + 10)
1416
def test__find_layer_start_and_stop(self):
1417
index = self.make_1000_node_index()
1418
self.assertEqual((0, 1), index._find_layer_first_and_end(0))
1419
self.assertEqual((1, 10), index._find_layer_first_and_end(1))
1420
self.assertEqual((1, 10), index._find_layer_first_and_end(9))
1421
self.assertEqual((10, 1000), index._find_layer_first_and_end(10))
1422
self.assertEqual((10, 1000), index._find_layer_first_and_end(99))
1423
self.assertEqual((10, 1000), index._find_layer_first_and_end(999))
1425
def test_unknown_size(self):
1426
# We should not expand if we don't know the file size
1427
index = self.make_index(None, 10)
1428
self.assertExpandOffsets([0], index, [0])
1429
self.assertExpandOffsets([1, 4, 9], index, [1, 4, 9])
1431
def test_more_than_recommended(self):
1432
index = self.make_index(4096*100, 2)
1433
self.assertExpandOffsets([1, 10], index, [1, 10])
1434
self.assertExpandOffsets([1, 10, 20], index, [1, 10, 20])
1436
def test_read_all_from_root(self):
1437
index = self.make_index(4096*10, 20)
1438
self.assertExpandOffsets(range(10), index, [0])
1440
def test_read_all_when_cached(self):
1441
# We've read enough that we can grab all the rest in a single request
1442
index = self.make_index(4096*10, 5)
1443
self.prepare_index(index, node_ref_lists=0, key_length=1,
1444
key_count=1000, row_lengths=[1, 9],
1445
cached_offsets=[0, 1, 2, 5, 6])
1446
# It should fill the remaining nodes, regardless of the one requested
1447
self.assertExpandOffsets([3, 4, 7, 8, 9], index, [3])
1448
self.assertExpandOffsets([3, 4, 7, 8, 9], index, [8])
1449
self.assertExpandOffsets([3, 4, 7, 8, 9], index, [9])
1451
def test_no_root_node(self):
1452
index = self.make_index(4096*10, 5)
1453
self.assertExpandOffsets([0], index, [0])
1455
def test_include_neighbors(self):
1456
index = self.make_100_node_index()
1457
# We expand in both directions, until we have at least 'recommended'
1459
self.assertExpandOffsets([9, 10, 11, 12, 13, 14, 15], index, [12])
1460
self.assertExpandOffsets([88, 89, 90, 91, 92, 93, 94], index, [91])
1461
# If we hit an 'edge' we continue in the other direction
1462
self.assertExpandOffsets([1, 2, 3, 4, 5, 6], index, [2])
1463
self.assertExpandOffsets([94, 95, 96, 97, 98, 99], index, [98])
1465
# Requesting many nodes will expand all locations equally
1466
self.assertExpandOffsets([1, 2, 3, 80, 81, 82], index, [2, 81])
1467
self.assertExpandOffsets([1, 2, 3, 9, 10, 11, 80, 81, 82], index,
1470
def test_stop_at_cached(self):
1471
index = self.make_100_node_index()
1472
self.set_cached_offsets(index, [0, 10, 19])
1473
self.assertExpandOffsets([11, 12, 13, 14, 15, 16], index, [11])
1474
self.assertExpandOffsets([11, 12, 13, 14, 15, 16], index, [12])
1475
self.assertExpandOffsets([12, 13, 14, 15, 16, 17, 18], index, [15])
1476
self.assertExpandOffsets([13, 14, 15, 16, 17, 18], index, [16])
1477
self.assertExpandOffsets([13, 14, 15, 16, 17, 18], index, [17])
1478
self.assertExpandOffsets([13, 14, 15, 16, 17, 18], index, [18])
1480
def test_cannot_fully_expand(self):
1481
index = self.make_100_node_index()
1482
self.set_cached_offsets(index, [0, 10, 12])
1483
# We don't go into an endless loop if we are bound by cached nodes
1484
self.assertExpandOffsets([11], index, [11])
1486
def test_overlap(self):
1487
index = self.make_100_node_index()
1488
self.assertExpandOffsets([10, 11, 12, 13, 14, 15], index, [12, 13])
1489
self.assertExpandOffsets([10, 11, 12, 13, 14, 15], index, [11, 14])
1491
def test_stay_within_layer(self):
1492
index = self.make_1000_node_index()
1493
# When expanding a request, we won't read nodes from the next layer
1494
self.assertExpandOffsets([1, 2, 3, 4], index, [2])
1495
self.assertExpandOffsets([6, 7, 8, 9], index, [6])
1496
self.assertExpandOffsets([6, 7, 8, 9], index, [9])
1497
self.assertExpandOffsets([10, 11, 12, 13, 14, 15], index, [10])
1498
self.assertExpandOffsets([10, 11, 12, 13, 14, 15, 16], index, [13])
1500
self.set_cached_offsets(index, [0, 4, 12])
1501
self.assertExpandOffsets([5, 6, 7, 8, 9], index, [7])
1502
self.assertExpandOffsets([10, 11], index, [11])
1504
def test_small_requests_unexpanded(self):
1505
index = self.make_100_node_index()
1506
self.set_cached_offsets(index, [0])
1507
self.assertExpandOffsets([1], index, [1])
1508
self.assertExpandOffsets([50], index, [50])
1509
# If we request more than one node, then we'll expand
1510
self.assertExpandOffsets([49, 50, 51, 59, 60, 61], index, [50, 60])
1512
# The first pass does not expand
1513
index = self.make_1000_node_index()
1514
self.set_cached_offsets(index, [0])
1515
self.assertExpandOffsets([1], index, [1])
1516
self.set_cached_offsets(index, [0, 1])
1517
self.assertExpandOffsets([100], index, [100])
1518
self.set_cached_offsets(index, [0, 1, 100])
1519
# But after the first depth, we will expand
1520
self.assertExpandOffsets([2, 3, 4, 5, 6, 7], index, [2])
1521
self.assertExpandOffsets([2, 3, 4, 5, 6, 7], index, [4])
1522
self.set_cached_offsets(index, [0, 1, 2, 3, 4, 5, 6, 7, 100])
1523
self.assertExpandOffsets([102, 103, 104, 105, 106, 107, 108], index,