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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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from bisect import bisect_right
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from bzrlib.index import _OPTION_NODE_REFS, _OPTION_KEY_ELEMENTS, _OPTION_LEN
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_BTSIGNATURE = "B+Tree Graph Index 2\n"
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_OPTION_ROW_LENGTHS = "row_lengths="
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_LEAF_FLAG = "type=leaf\n"
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_INTERNAL_FLAG = "type=internal\n"
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_INTERNAL_OFFSET = "offset="
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_RESERVED_HEADER_BYTES = 120
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# 4K per page: 4MB - 1000 entries
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_NODE_CACHE_SIZE = 1000
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class _BuilderRow(object):
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"""The stored state accumulated while writing out a row in the index.
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:ivar spool: A temporary file used to accumulate nodes for this row
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:ivar nodes: The count of nodes emitted so far.
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"""Create a _BuilderRow."""
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self.spool = None# tempfile.TemporaryFile(prefix='bzr-index-row-')
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def finish_node(self, pad=True):
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byte_lines, _, padding = self.writer.finish()
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self.spool = cStringIO.StringIO()
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self.spool.write("\x00" * _RESERVED_HEADER_BYTES)
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# We got bigger than 1 node, switch to a temp file
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spool = tempfile.TemporaryFile(prefix='bzr-index-row-')
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spool.write(self.spool.getvalue())
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if not pad and padding:
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skipped_bytes = padding
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self.spool.writelines(byte_lines)
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remainder = (self.spool.tell() + skipped_bytes) % _PAGE_SIZE
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raise AssertionError("incorrect node length: %d, %d"
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% (self.spool.tell(), remainder))
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class _InternalBuilderRow(_BuilderRow):
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"""The stored state accumulated while writing out internal rows."""
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def finish_node(self, pad=True):
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raise AssertionError("Must pad internal nodes only.")
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_BuilderRow.finish_node(self)
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class _LeafBuilderRow(_BuilderRow):
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"""The stored state accumulated while writing out a leaf rows."""
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class BTreeBuilder(index.GraphIndexBuilder):
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"""A Builder for B+Tree based Graph indices.
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The resulting graph has the structure:
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_SIGNATURE OPTIONS NODES
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_SIGNATURE := 'B+Tree Graph Index 1' NEWLINE
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OPTIONS := REF_LISTS KEY_ELEMENTS LENGTH
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REF_LISTS := 'node_ref_lists=' DIGITS NEWLINE
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KEY_ELEMENTS := 'key_elements=' DIGITS NEWLINE
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LENGTH := 'len=' DIGITS NEWLINE
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ROW_LENGTHS := 'row_lengths' DIGITS (COMMA DIGITS)*
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NODES := NODE_COMPRESSED*
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NODE_COMPRESSED:= COMPRESSED_BYTES{4096}
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NODE_RAW := INTERNAL | LEAF
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INTERNAL := INTERNAL_FLAG POINTERS
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LEAF := LEAF_FLAG ROWS
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KEY_ELEMENT := Not-whitespace-utf8
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KEY := KEY_ELEMENT (NULL KEY_ELEMENT)*
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ROW := KEY NULL ABSENT? NULL REFERENCES NULL VALUE NEWLINE
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REFERENCES := REFERENCE_LIST (TAB REFERENCE_LIST){node_ref_lists - 1}
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REFERENCE_LIST := (REFERENCE (CR REFERENCE)*)?
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VALUE := no-newline-no-null-bytes
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def __init__(self, reference_lists=0, key_elements=1, spill_at=100000):
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"""See GraphIndexBuilder.__init__.
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:param spill_at: Optional parameter controlling the maximum number
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of nodes that BTreeBuilder will hold in memory.
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index.GraphIndexBuilder.__init__(self, reference_lists=reference_lists,
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key_elements=key_elements)
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self._spill_at = spill_at
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self._backing_indices = []
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# A map of {key: (node_refs, value)}
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# Indicate it hasn't been built yet
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self._nodes_by_key = None
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self._optimize_for_size = False
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def add_node(self, key, value, references=()):
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"""Add a node to the index.
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If adding the node causes the builder to reach its spill_at threshold,
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disk spilling will be triggered.
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:param key: The key. keys are non-empty tuples containing
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as many whitespace-free utf8 bytestrings as the key length
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defined for this index.
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:param references: An iterable of iterables of keys. Each is a
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reference to another key.
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:param value: The value to associate with the key. It may be any
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bytes as long as it does not contain \0 or \n.
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# Ensure that 'key' is a StaticTuple
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key = static_tuple.StaticTuple.from_sequence(key).intern()
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# we don't care about absent_references
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node_refs, _ = self._check_key_ref_value(key, references, value)
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if key in self._nodes:
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raise errors.BadIndexDuplicateKey(key, self)
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self._nodes[key] = static_tuple.StaticTuple(node_refs, value)
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if self._nodes_by_key is not None and self._key_length > 1:
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self._update_nodes_by_key(key, value, node_refs)
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if len(self._nodes) < self._spill_at:
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self._spill_mem_keys_to_disk()
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def _spill_mem_keys_to_disk(self):
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"""Write the in memory keys down to disk to cap memory consumption.
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If we already have some keys written to disk, we will combine them so
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as to preserve the sorted order. The algorithm for combining uses
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powers of two. So on the first spill, write all mem nodes into a
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single index. On the second spill, combine the mem nodes with the nodes
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on disk to create a 2x sized disk index and get rid of the first index.
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On the third spill, create a single new disk index, which will contain
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the mem nodes, and preserve the existing 2x sized index. On the fourth,
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combine mem with the first and second indexes, creating a new one of
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size 4x. On the fifth create a single new one, etc.
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if self._combine_backing_indices:
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(new_backing_file, size,
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backing_pos) = self._spill_mem_keys_and_combine()
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new_backing_file, size = self._spill_mem_keys_without_combining()
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# Note: The transport here isn't strictly needed, because we will use
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# direct access to the new_backing._file object
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new_backing = BTreeGraphIndex(transport.get_transport('.'),
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# GC will clean up the file
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new_backing._file = new_backing_file
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if self._combine_backing_indices:
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if len(self._backing_indices) == backing_pos:
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self._backing_indices.append(None)
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self._backing_indices[backing_pos] = new_backing
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for backing_pos in range(backing_pos):
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self._backing_indices[backing_pos] = None
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self._backing_indices.append(new_backing)
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self._nodes_by_key = None
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def _spill_mem_keys_without_combining(self):
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return self._write_nodes(self._iter_mem_nodes(), allow_optimize=False)
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def _spill_mem_keys_and_combine(self):
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iterators_to_combine = [self._iter_mem_nodes()]
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for pos, backing in enumerate(self._backing_indices):
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iterators_to_combine.append(backing.iter_all_entries())
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backing_pos = pos + 1
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new_backing_file, size = \
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self._write_nodes(self._iter_smallest(iterators_to_combine),
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allow_optimize=False)
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return new_backing_file, size, backing_pos
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def add_nodes(self, nodes):
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"""Add nodes to the index.
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:param nodes: An iterable of (key, node_refs, value) entries to add.
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if self.reference_lists:
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for (key, value, node_refs) in nodes:
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self.add_node(key, value, node_refs)
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for (key, value) in nodes:
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self.add_node(key, value)
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def _iter_mem_nodes(self):
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"""Iterate over the nodes held in memory."""
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if self.reference_lists:
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for key in sorted(nodes):
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references, value = nodes[key]
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yield self, key, value, references
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for key in sorted(nodes):
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references, value = nodes[key]
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yield self, key, value
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def _iter_smallest(self, iterators_to_combine):
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if len(iterators_to_combine) == 1:
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for value in iterators_to_combine[0]:
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for iterator in iterators_to_combine:
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current_values.append(iterator.next())
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except StopIteration:
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current_values.append(None)
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# Decorate candidates with the value to allow 2.4's min to be used.
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candidates = [(item[1][1], item) for item
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in enumerate(current_values) if item[1] is not None]
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if not len(candidates):
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selected = min(candidates)
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# undecorate back to (pos, node)
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selected = selected[1]
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if last == selected[1][1]:
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raise errors.BadIndexDuplicateKey(last, self)
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last = selected[1][1]
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# Yield, with self as the index
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yield (self,) + selected[1][1:]
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current_values[pos] = iterators_to_combine[pos].next()
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except StopIteration:
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current_values[pos] = None
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def _add_key(self, string_key, line, rows, allow_optimize=True):
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"""Add a key to the current chunk.
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:param string_key: The key to add.
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:param line: The fully serialised key and value.
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:param allow_optimize: If set to False, prevent setting the optimize
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flag when writing out. This is used by the _spill_mem_keys_to_disk
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if rows[-1].writer is None:
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# opening a new leaf chunk;
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for pos, internal_row in enumerate(rows[:-1]):
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# flesh out any internal nodes that are needed to
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# preserve the height of the tree
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if internal_row.writer is None:
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if internal_row.nodes == 0:
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length -= _RESERVED_HEADER_BYTES # padded
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optimize_for_size = self._optimize_for_size
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optimize_for_size = False
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internal_row.writer = chunk_writer.ChunkWriter(length, 0,
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optimize_for_size=optimize_for_size)
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internal_row.writer.write(_INTERNAL_FLAG)
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internal_row.writer.write(_INTERNAL_OFFSET +
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str(rows[pos + 1].nodes) + "\n")
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if rows[-1].nodes == 0:
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length -= _RESERVED_HEADER_BYTES # padded
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rows[-1].writer = chunk_writer.ChunkWriter(length,
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optimize_for_size=self._optimize_for_size)
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rows[-1].writer.write(_LEAF_FLAG)
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if rows[-1].writer.write(line):
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# this key did not fit in the node:
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rows[-1].finish_node()
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key_line = string_key + "\n"
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for row in reversed(rows[:-1]):
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# Mark the start of the next node in the node above. If it
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# doesn't fit then propagate upwards until we find one that
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if row.writer.write(key_line):
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# We've found a node that can handle the pointer.
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# If we reached the current root without being able to mark the
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# division point, then we need a new root:
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if 'index' in debug.debug_flags:
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trace.mutter('Inserting new global row.')
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new_row = _InternalBuilderRow()
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rows.insert(0, new_row)
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# This will be padded, hence the -100
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new_row.writer = chunk_writer.ChunkWriter(
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_PAGE_SIZE - _RESERVED_HEADER_BYTES,
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optimize_for_size=self._optimize_for_size)
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new_row.writer.write(_INTERNAL_FLAG)
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new_row.writer.write(_INTERNAL_OFFSET +
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str(rows[1].nodes - 1) + "\n")
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new_row.writer.write(key_line)
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self._add_key(string_key, line, rows, allow_optimize=allow_optimize)
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def _write_nodes(self, node_iterator, allow_optimize=True):
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"""Write node_iterator out as a B+Tree.
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:param node_iterator: An iterator of sorted nodes. Each node should
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match the output given by iter_all_entries.
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:param allow_optimize: If set to False, prevent setting the optimize
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flag when writing out. This is used by the _spill_mem_keys_to_disk
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:return: A file handle for a temporary file containing a B+Tree for
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# The index rows - rows[0] is the root, rows[1] is the layer under it
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# forward sorted by key. In future we may consider topological sorting,
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# at the cost of table scans for direct lookup, or a second index for
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# A stack with the number of nodes of each size. 0 is the root node
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# and must always be 1 (if there are any nodes in the tree).
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self.row_lengths = []
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# Loop over all nodes adding them to the bottom row
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# (rows[-1]). When we finish a chunk in a row,
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# propagate the key that didn't fit (comes after the chunk) to the
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# row above, transitively.
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for node in node_iterator:
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# First key triggers the first row
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rows.append(_LeafBuilderRow())
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string_key, line = _btree_serializer._flatten_node(node,
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self.reference_lists)
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self._add_key(string_key, line, rows, allow_optimize=allow_optimize)
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for row in reversed(rows):
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pad = (type(row) != _LeafBuilderRow)
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row.finish_node(pad=pad)
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lines = [_BTSIGNATURE]
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lines.append(_OPTION_NODE_REFS + str(self.reference_lists) + '\n')
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lines.append(_OPTION_KEY_ELEMENTS + str(self._key_length) + '\n')
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lines.append(_OPTION_LEN + str(key_count) + '\n')
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row_lengths = [row.nodes for row in rows]
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lines.append(_OPTION_ROW_LENGTHS + ','.join(map(str, row_lengths)) + '\n')
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if row_lengths and row_lengths[-1] > 1:
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result = tempfile.NamedTemporaryFile(prefix='bzr-index-')
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result = cStringIO.StringIO()
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result.writelines(lines)
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position = sum(map(len, lines))
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if position > _RESERVED_HEADER_BYTES:
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raise AssertionError("Could not fit the header in the"
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" reserved space: %d > %d"
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% (position, _RESERVED_HEADER_BYTES))
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# write the rows out:
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reserved = _RESERVED_HEADER_BYTES # reserved space for first node
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# copy nodes to the finalised file.
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# Special case the first node as it may be prefixed
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node = row.spool.read(_PAGE_SIZE)
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result.write(node[reserved:])
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if len(node) == _PAGE_SIZE:
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result.write("\x00" * (reserved - position))
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position = 0 # Only the root row actually has an offset
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copied_len = osutils.pumpfile(row.spool, result)
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if copied_len != (row.nodes - 1) * _PAGE_SIZE:
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if type(row) != _LeafBuilderRow:
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raise AssertionError("Incorrect amount of data copied"
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" expected: %d, got: %d"
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% ((row.nodes - 1) * _PAGE_SIZE,
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"""Finalise the index.
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:return: A file handle for a temporary file containing the nodes added
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return self._write_nodes(self.iter_all_entries())[0]
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def iter_all_entries(self):
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"""Iterate over all keys within the index
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:return: An iterable of (index, key, value, reference_lists). There is
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no defined order for the result iteration - it will be in the most
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efficient order for the index (in this case dictionary hash order).
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if 'evil' in debug.debug_flags:
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trace.mutter_callsite(3,
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"iter_all_entries scales with size of history.")
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# Doing serial rather than ordered would be faster; but this shouldn't
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# be getting called routinely anyway.
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iterators = [self._iter_mem_nodes()]
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for backing in self._backing_indices:
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if backing is not None:
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iterators.append(backing.iter_all_entries())
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if len(iterators) == 1:
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return self._iter_smallest(iterators)
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def iter_entries(self, keys):
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"""Iterate over keys within the index.
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:param keys: An iterable providing the keys to be retrieved.
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:return: An iterable of (index, key, value, reference_lists). There is no
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defined order for the result iteration - it will be in the most
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efficient order for the index (keys iteration order in this case).
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# Note: We don't use keys.intersection() here. If you read the C api,
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# set.intersection(other) special cases when other is a set and
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# will iterate the smaller of the two and lookup in the other.
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# It does *not* do this for any other type (even dict, unlike
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# some other set functions.) Since we expect keys is generally <<
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# self._nodes, it is faster to iterate over it in a list
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local_keys = [key for key in keys if key in nodes]
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if self.reference_lists:
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for key in local_keys:
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yield self, key, node[1], node[0]
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for key in local_keys:
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yield self, key, node[1]
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# Find things that are in backing indices that have not been handled
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if not self._backing_indices:
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return # We won't find anything there either
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# Remove all of the keys that we found locally
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keys.difference_update(local_keys)
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for backing in self._backing_indices:
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for node in backing.iter_entries(keys):
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yield (self,) + node[1:]
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def iter_entries_prefix(self, keys):
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"""Iterate over keys within the index using prefix matching.
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Prefix matching is applied within the tuple of a key, not to within
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the bytestring of each key element. e.g. if you have the keys ('foo',
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'bar'), ('foobar', 'gam') and do a prefix search for ('foo', None) then
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only the former key is returned.
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:param keys: An iterable providing the key prefixes to be retrieved.
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Each key prefix takes the form of a tuple the length of a key, but
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with the last N elements 'None' rather than a regular bytestring.
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The first element cannot be 'None'.
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:return: An iterable as per iter_all_entries, but restricted to the
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keys with a matching prefix to those supplied. No additional keys
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will be returned, and every match that is in the index will be
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# XXX: To much duplication with the GraphIndex class; consider finding
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# a good place to pull out the actual common logic.
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for backing in self._backing_indices:
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for node in backing.iter_entries_prefix(keys):
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yield (self,) + node[1:]
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if self._key_length == 1:
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raise errors.BadIndexKey(key)
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if len(key) != self._key_length:
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raise errors.BadIndexKey(key)
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node = self._nodes[key]
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if self.reference_lists:
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yield self, key, node[1], node[0]
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yield self, key, node[1]
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raise errors.BadIndexKey(key)
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if len(key) != self._key_length:
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raise errors.BadIndexKey(key)
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# find what it refers to:
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key_dict = self._get_nodes_by_key()
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# find the subdict to return
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while len(elements) and elements[0] is not None:
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key_dict = key_dict[elements[0]]
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# a non-existant lookup.
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key_dict = dicts.pop(-1)
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# can't be empty or would not exist
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item, value = key_dict.iteritems().next()
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if type(value) == dict:
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dicts.extend(key_dict.itervalues())
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for value in key_dict.itervalues():
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yield (self, ) + tuple(value)
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yield (self, ) + key_dict
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def _get_nodes_by_key(self):
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if self._nodes_by_key is None:
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if self.reference_lists:
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for key, (references, value) in self._nodes.iteritems():
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key_dict = nodes_by_key
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for subkey in key[:-1]:
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key_dict = key_dict.setdefault(subkey, {})
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key_dict[key[-1]] = key, value, references
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for key, (references, value) in self._nodes.iteritems():
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key_dict = nodes_by_key
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for subkey in key[:-1]:
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key_dict = key_dict.setdefault(subkey, {})
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key_dict[key[-1]] = key, value
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self._nodes_by_key = nodes_by_key
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return self._nodes_by_key
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"""Return an estimate of the number of keys in this index.
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For InMemoryGraphIndex the estimate is exact.
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return len(self._nodes) + sum(backing.key_count() for backing in
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self._backing_indices if backing is not None)
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"""In memory index's have no known corruption at the moment."""
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class _LeafNode(object):
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"""A leaf node for a serialised B+Tree index."""
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__slots__ = ('keys', 'min_key', 'max_key')
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def __init__(self, bytes, key_length, ref_list_length):
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"""Parse bytes to create a leaf node object."""
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# splitlines mangles the \r delimiters.. don't use it.
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key_list = _btree_serializer._parse_leaf_lines(bytes,
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key_length, ref_list_length)
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self.min_key = key_list[0][0]
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self.max_key = key_list[-1][0]
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self.min_key = self.max_key = None
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self.keys = dict(key_list)
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class _InternalNode(object):
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"""An internal node for a serialised B+Tree index."""
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__slots__ = ('keys', 'offset')
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def __init__(self, bytes):
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"""Parse bytes to create an internal node object."""
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# splitlines mangles the \r delimiters.. don't use it.
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self.keys = self._parse_lines(bytes.split('\n'))
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def _parse_lines(self, lines):
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self.offset = int(lines[1][7:])
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as_st = static_tuple.StaticTuple.from_sequence
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for line in lines[2:]:
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nodes.append(as_st(map(intern, line.split('\0'))).intern())
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class BTreeGraphIndex(object):
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"""Access to nodes via the standard GraphIndex interface for B+Tree's.
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Individual nodes are held in a LRU cache. This holds the root node in
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memory except when very large walks are done.
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def __init__(self, transport, name, size, unlimited_cache=False,
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"""Create a B+Tree index object on the index name.
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:param transport: The transport to read data for the index from.
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:param name: The file name of the index on transport.
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:param size: Optional size of the index in bytes. This allows
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compatibility with the GraphIndex API, as well as ensuring that
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the initial read (to read the root node header) can be done
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without over-reading even on empty indices, and on small indices
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allows single-IO to read the entire index.
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:param unlimited_cache: If set to True, then instead of using an
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LRUCache with size _NODE_CACHE_SIZE, we will use a dict and always
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cache all leaf nodes.
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:param offset: The start of the btree index data isn't byte 0 of the
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file. Instead it starts at some point later.
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self._transport = transport
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self._recommended_pages = self._compute_recommended_pages()
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self._root_node = None
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self._base_offset = offset
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# Default max size is 100,000 leave values
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self._leaf_value_cache = None # lru_cache.LRUCache(100*1000)
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self._leaf_node_cache = {}
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self._internal_node_cache = {}
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self._leaf_node_cache = lru_cache.LRUCache(_NODE_CACHE_SIZE)
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# We use a FIFO here just to prevent possible blowout. However, a
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# 300k record btree has only 3k leaf nodes, and only 20 internal
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# nodes. A value of 100 scales to ~100*100*100 = 1M records.
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self._internal_node_cache = fifo_cache.FIFOCache(100)
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self._key_count = None
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self._row_lengths = None
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self._row_offsets = None # Start of each row, [-1] is the end
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def __eq__(self, other):
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"""Equal when self and other were created with the same parameters."""
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type(self) == type(other) and
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self._transport == other._transport and
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self._name == other._name and
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self._size == other._size)
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def __ne__(self, other):
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return not self.__eq__(other)
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def _get_and_cache_nodes(self, nodes):
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"""Read nodes and cache them in the lru.
704
The nodes list supplied is sorted and then read from disk, each node
705
being inserted it into the _node_cache.
707
Note: Asking for more nodes than the _node_cache can contain will
708
result in some of the results being immediately discarded, to prevent
709
this an assertion is raised if more nodes are asked for than are
712
:return: A dict of {node_pos: node}
715
start_of_leaves = None
716
for node_pos, node in self._read_nodes(sorted(nodes)):
717
if node_pos == 0: # Special case
718
self._root_node = node
720
if start_of_leaves is None:
721
start_of_leaves = self._row_offsets[-2]
722
if node_pos < start_of_leaves:
723
self._internal_node_cache[node_pos] = node
725
self._leaf_node_cache[node_pos] = node
726
found[node_pos] = node
729
def _compute_recommended_pages(self):
730
"""Convert transport's recommended_page_size into btree pages.
732
recommended_page_size is in bytes, we want to know how many _PAGE_SIZE
733
pages fit in that length.
735
recommended_read = self._transport.recommended_page_size()
736
recommended_pages = int(math.ceil(recommended_read /
738
return recommended_pages
740
def _compute_total_pages_in_index(self):
741
"""How many pages are in the index.
743
If we have read the header we will use the value stored there.
744
Otherwise it will be computed based on the length of the index.
746
if self._size is None:
747
raise AssertionError('_compute_total_pages_in_index should not be'
748
' called when self._size is None')
749
if self._root_node is not None:
750
# This is the number of pages as defined by the header
751
return self._row_offsets[-1]
752
# This is the number of pages as defined by the size of the index. They
753
# should be indentical.
754
total_pages = int(math.ceil(self._size / float(_PAGE_SIZE)))
757
def _expand_offsets(self, offsets):
758
"""Find extra pages to download.
760
The idea is that we always want to make big-enough requests (like 64kB
761
for http), so that we don't waste round trips. So given the entries
762
that we already have cached and the new pages being downloaded figure
763
out what other pages we might want to read.
765
See also doc/developers/btree_index_prefetch.txt for more details.
767
:param offsets: The offsets to be read
768
:return: A list of offsets to download
770
if 'index' in debug.debug_flags:
771
trace.mutter('expanding: %s\toffsets: %s', self._name, offsets)
773
if len(offsets) >= self._recommended_pages:
774
# Don't add more, we are already requesting more than enough
775
if 'index' in debug.debug_flags:
776
trace.mutter(' not expanding large request (%s >= %s)',
777
len(offsets), self._recommended_pages)
779
if self._size is None:
780
# Don't try anything, because we don't know where the file ends
781
if 'index' in debug.debug_flags:
782
trace.mutter(' not expanding without knowing index size')
784
total_pages = self._compute_total_pages_in_index()
785
cached_offsets = self._get_offsets_to_cached_pages()
786
# If reading recommended_pages would read the rest of the index, just
788
if total_pages - len(cached_offsets) <= self._recommended_pages:
789
# Read whatever is left
791
expanded = [x for x in xrange(total_pages)
792
if x not in cached_offsets]
794
expanded = range(total_pages)
795
if 'index' in debug.debug_flags:
796
trace.mutter(' reading all unread pages: %s', expanded)
799
if self._root_node is None:
800
# ATM on the first read of the root node of a large index, we don't
801
# bother pre-reading any other pages. This is because the
802
# likelyhood of actually reading interesting pages is very low.
803
# See doc/developers/btree_index_prefetch.txt for a discussion, and
804
# a possible implementation when we are guessing that the second
805
# layer index is small
806
final_offsets = offsets
808
tree_depth = len(self._row_lengths)
809
if len(cached_offsets) < tree_depth and len(offsets) == 1:
810
# We haven't read enough to justify expansion
811
# If we are only going to read the root node, and 1 leaf node,
812
# then it isn't worth expanding our request. Once we've read at
813
# least 2 nodes, then we are probably doing a search, and we
814
# start expanding our requests.
815
if 'index' in debug.debug_flags:
816
trace.mutter(' not expanding on first reads')
818
final_offsets = self._expand_to_neighbors(offsets, cached_offsets,
821
final_offsets = sorted(final_offsets)
822
if 'index' in debug.debug_flags:
823
trace.mutter('expanded: %s', final_offsets)
826
def _expand_to_neighbors(self, offsets, cached_offsets, total_pages):
827
"""Expand requests to neighbors until we have enough pages.
829
This is called from _expand_offsets after policy has determined that we
831
We only want to expand requests within a given layer. We cheat a little
832
bit and assume all requests will be in the same layer. This is true
833
given the current design, but if it changes this algorithm may perform
836
:param offsets: requested offsets
837
:param cached_offsets: offsets for pages we currently have cached
838
:return: A set() of offsets after expansion
840
final_offsets = set(offsets)
842
new_tips = set(final_offsets)
843
while len(final_offsets) < self._recommended_pages and new_tips:
847
first, end = self._find_layer_first_and_end(pos)
850
and previous not in cached_offsets
851
and previous not in final_offsets
852
and previous >= first):
853
next_tips.add(previous)
855
if (after < total_pages
856
and after not in cached_offsets
857
and after not in final_offsets
860
# This would keep us from going bigger than
861
# recommended_pages by only expanding the first offsets.
862
# However, if we are making a 'wide' request, it is
863
# reasonable to expand all points equally.
864
# if len(final_offsets) > recommended_pages:
866
final_offsets.update(next_tips)
870
def clear_cache(self):
871
"""Clear out any cached/memoized values.
873
This can be called at any time, but generally it is used when we have
874
extracted some information, but don't expect to be requesting any more
877
# Note that we don't touch self._root_node or self._internal_node_cache
878
# We don't expect either of those to be big, and it can save
879
# round-trips in the future. We may re-evaluate this if InternalNode
880
# memory starts to be an issue.
881
self._leaf_node_cache.clear()
883
def external_references(self, ref_list_num):
884
if self._root_node is None:
885
self._get_root_node()
886
if ref_list_num + 1 > self.node_ref_lists:
887
raise ValueError('No ref list %d, index has %d ref lists'
888
% (ref_list_num, self.node_ref_lists))
891
for node in self.iter_all_entries():
893
refs.update(node[3][ref_list_num])
896
def _find_layer_first_and_end(self, offset):
897
"""Find the start/stop nodes for the layer corresponding to offset.
899
:return: (first, end)
900
first is the first node in this layer
901
end is the first node of the next layer
904
for roffset in self._row_offsets:
911
def _get_offsets_to_cached_pages(self):
912
"""Determine what nodes we already have cached."""
913
cached_offsets = set(self._internal_node_cache.keys())
914
cached_offsets.update(self._leaf_node_cache.keys())
915
if self._root_node is not None:
916
cached_offsets.add(0)
917
return cached_offsets
919
def _get_root_node(self):
920
if self._root_node is None:
921
# We may not have a root node yet
922
self._get_internal_nodes([0])
923
return self._root_node
925
def _get_nodes(self, cache, node_indexes):
928
for idx in node_indexes:
929
if idx == 0 and self._root_node is not None:
930
found[0] = self._root_node
933
found[idx] = cache[idx]
938
needed = self._expand_offsets(needed)
939
found.update(self._get_and_cache_nodes(needed))
942
def _get_internal_nodes(self, node_indexes):
943
"""Get a node, from cache or disk.
945
After getting it, the node will be cached.
947
return self._get_nodes(self._internal_node_cache, node_indexes)
949
def _cache_leaf_values(self, nodes):
950
"""Cache directly from key => value, skipping the btree."""
951
if self._leaf_value_cache is not None:
952
for node in nodes.itervalues():
953
for key, value in node.keys.iteritems():
954
if key in self._leaf_value_cache:
955
# Don't add the rest of the keys, we've seen this node
958
self._leaf_value_cache[key] = value
960
def _get_leaf_nodes(self, node_indexes):
961
"""Get a bunch of nodes, from cache or disk."""
962
found = self._get_nodes(self._leaf_node_cache, node_indexes)
963
self._cache_leaf_values(found)
966
def iter_all_entries(self):
967
"""Iterate over all keys within the index.
969
:return: An iterable of (index, key, value) or (index, key, value, reference_lists).
970
The former tuple is used when there are no reference lists in the
971
index, making the API compatible with simple key:value index types.
972
There is no defined order for the result iteration - it will be in
973
the most efficient order for the index.
975
if 'evil' in debug.debug_flags:
976
trace.mutter_callsite(3,
977
"iter_all_entries scales with size of history.")
978
if not self.key_count():
980
if self._row_offsets[-1] == 1:
981
# There is only the root node, and we read that via key_count()
982
if self.node_ref_lists:
983
for key, (value, refs) in sorted(self._root_node.keys.items()):
984
yield (self, key, value, refs)
986
for key, (value, refs) in sorted(self._root_node.keys.items()):
987
yield (self, key, value)
989
start_of_leaves = self._row_offsets[-2]
990
end_of_leaves = self._row_offsets[-1]
991
needed_offsets = range(start_of_leaves, end_of_leaves)
992
if needed_offsets == [0]:
993
# Special case when we only have a root node, as we have already
995
nodes = [(0, self._root_node)]
997
nodes = self._read_nodes(needed_offsets)
998
# We iterate strictly in-order so that we can use this function
999
# for spilling index builds to disk.
1000
if self.node_ref_lists:
1001
for _, node in nodes:
1002
for key, (value, refs) in sorted(node.keys.items()):
1003
yield (self, key, value, refs)
1005
for _, node in nodes:
1006
for key, (value, refs) in sorted(node.keys.items()):
1007
yield (self, key, value)
1010
def _multi_bisect_right(in_keys, fixed_keys):
1011
"""Find the positions where each 'in_key' would fit in fixed_keys.
1013
This is equivalent to doing "bisect_right" on each in_key into
1016
:param in_keys: A sorted list of keys to match with fixed_keys
1017
:param fixed_keys: A sorted list of keys to match against
1018
:return: A list of (integer position, [key list]) tuples.
1023
# no pointers in the fixed_keys list, which means everything must
1025
return [(0, in_keys)]
1027
# TODO: Iterating both lists will generally take M + N steps
1028
# Bisecting each key will generally take M * log2 N steps.
1029
# If we had an efficient way to compare, we could pick the method
1030
# based on which has the fewer number of steps.
1031
# There is also the argument that bisect_right is a compiled
1032
# function, so there is even more to be gained.
1033
# iter_steps = len(in_keys) + len(fixed_keys)
1034
# bisect_steps = len(in_keys) * math.log(len(fixed_keys), 2)
1035
if len(in_keys) == 1: # Bisect will always be faster for M = 1
1036
return [(bisect_right(fixed_keys, in_keys[0]), in_keys)]
1037
# elif bisect_steps < iter_steps:
1039
# for key in in_keys:
1040
# offsets.setdefault(bisect_right(fixed_keys, key),
1042
# return [(o, offsets[o]) for o in sorted(offsets)]
1043
in_keys_iter = iter(in_keys)
1044
fixed_keys_iter = enumerate(fixed_keys)
1045
cur_in_key = in_keys_iter.next()
1046
cur_fixed_offset, cur_fixed_key = fixed_keys_iter.next()
1048
class InputDone(Exception): pass
1049
class FixedDone(Exception): pass
1054
# TODO: Another possibility is that rather than iterating on each side,
1055
# we could use a combination of bisecting and iterating. For
1056
# example, while cur_in_key < fixed_key, bisect to find its
1057
# point, then iterate all matching keys, then bisect (restricted
1058
# to only the remainder) for the next one, etc.
1061
if cur_in_key < cur_fixed_key:
1063
cur_out = (cur_fixed_offset, cur_keys)
1064
output.append(cur_out)
1065
while cur_in_key < cur_fixed_key:
1066
cur_keys.append(cur_in_key)
1068
cur_in_key = in_keys_iter.next()
1069
except StopIteration:
1071
# At this point cur_in_key must be >= cur_fixed_key
1072
# step the cur_fixed_key until we pass the cur key, or walk off
1074
while cur_in_key >= cur_fixed_key:
1076
cur_fixed_offset, cur_fixed_key = fixed_keys_iter.next()
1077
except StopIteration:
1080
# We consumed all of the input, nothing more to do
1083
# There was some input left, but we consumed all of fixed, so we
1084
# have to add one more for the tail
1085
cur_keys = [cur_in_key]
1086
cur_keys.extend(in_keys_iter)
1087
cur_out = (len(fixed_keys), cur_keys)
1088
output.append(cur_out)
1091
def _walk_through_internal_nodes(self, keys):
1092
"""Take the given set of keys, and find the corresponding LeafNodes.
1094
:param keys: An unsorted iterable of keys to search for
1095
:return: (nodes, index_and_keys)
1096
nodes is a dict mapping {index: LeafNode}
1097
keys_at_index is a list of tuples of [(index, [keys for Leaf])]
1099
# 6 seconds spent in miss_torture using the sorted() line.
1100
# Even with out of order disk IO it seems faster not to sort it when
1101
# large queries are being made.
1102
keys_at_index = [(0, sorted(keys))]
1104
for row_pos, next_row_start in enumerate(self._row_offsets[1:-1]):
1105
node_indexes = [idx for idx, s_keys in keys_at_index]
1106
nodes = self._get_internal_nodes(node_indexes)
1108
next_nodes_and_keys = []
1109
for node_index, sub_keys in keys_at_index:
1110
node = nodes[node_index]
1111
positions = self._multi_bisect_right(sub_keys, node.keys)
1112
node_offset = next_row_start + node.offset
1113
next_nodes_and_keys.extend([(node_offset + pos, s_keys)
1114
for pos, s_keys in positions])
1115
keys_at_index = next_nodes_and_keys
1116
# We should now be at the _LeafNodes
1117
node_indexes = [idx for idx, s_keys in keys_at_index]
1119
# TODO: We may *not* want to always read all the nodes in one
1120
# big go. Consider setting a max size on this.
1121
nodes = self._get_leaf_nodes(node_indexes)
1122
return nodes, keys_at_index
1124
def iter_entries(self, keys):
1125
"""Iterate over keys within the index.
1127
:param keys: An iterable providing the keys to be retrieved.
1128
:return: An iterable as per iter_all_entries, but restricted to the
1129
keys supplied. No additional keys will be returned, and every
1130
key supplied that is in the index will be returned.
1132
# 6 seconds spent in miss_torture using the sorted() line.
1133
# Even with out of order disk IO it seems faster not to sort it when
1134
# large queries are being made.
1135
# However, now that we are doing multi-way bisecting, we need the keys
1136
# in sorted order anyway. We could change the multi-way code to not
1137
# require sorted order. (For example, it bisects for the first node,
1138
# does an in-order search until a key comes before the current point,
1139
# which it then bisects for, etc.)
1140
keys = frozenset(keys)
1144
if not self.key_count():
1148
if self._leaf_value_cache is None:
1152
value = self._leaf_value_cache.get(key, None)
1153
if value is not None:
1154
# This key is known not to be here, skip it
1156
if self.node_ref_lists:
1157
yield (self, key, value, refs)
1159
yield (self, key, value)
1161
needed_keys.append(key)
1167
nodes, nodes_and_keys = self._walk_through_internal_nodes(needed_keys)
1168
for node_index, sub_keys in nodes_and_keys:
1171
node = nodes[node_index]
1172
for next_sub_key in sub_keys:
1173
if next_sub_key in node.keys:
1174
value, refs = node.keys[next_sub_key]
1175
if self.node_ref_lists:
1176
yield (self, next_sub_key, value, refs)
1178
yield (self, next_sub_key, value)
1180
def _find_ancestors(self, keys, ref_list_num, parent_map, missing_keys):
1181
"""Find the parent_map information for the set of keys.
1183
This populates the parent_map dict and missing_keys set based on the
1184
queried keys. It also can fill out an arbitrary number of parents that
1185
it finds while searching for the supplied keys.
1187
It is unlikely that you want to call this directly. See
1188
"CombinedGraphIndex.find_ancestry()" for a more appropriate API.
1190
:param keys: A keys whose ancestry we want to return
1191
Every key will either end up in 'parent_map' or 'missing_keys'.
1192
:param ref_list_num: This index in the ref_lists is the parents we
1194
:param parent_map: {key: parent_keys} for keys that are present in this
1195
index. This may contain more entries than were in 'keys', that are
1196
reachable ancestors of the keys requested.
1197
:param missing_keys: keys which are known to be missing in this index.
1198
This may include parents that were not directly requested, but we
1199
were able to determine that they are not present in this index.
1200
:return: search_keys parents that were found but not queried to know
1201
if they are missing or present. Callers can re-query this index for
1202
those keys, and they will be placed into parent_map or missing_keys
1204
if not self.key_count():
1205
# We use key_count() to trigger reading the root node and
1206
# determining info about this BTreeGraphIndex
1207
# If we don't have any keys, then everything is missing
1208
missing_keys.update(keys)
1210
if ref_list_num >= self.node_ref_lists:
1211
raise ValueError('No ref list %d, index has %d ref lists'
1212
% (ref_list_num, self.node_ref_lists))
1214
# The main trick we are trying to accomplish is that when we find a
1215
# key listing its parents, we expect that the parent key is also likely
1216
# to sit on the same page. Allowing us to expand parents quickly
1217
# without suffering the full stack of bisecting, etc.
1218
nodes, nodes_and_keys = self._walk_through_internal_nodes(keys)
1220
# These are parent keys which could not be immediately resolved on the
1221
# page where the child was present. Note that we may already be
1222
# searching for that key, and it may actually be present [or known
1223
# missing] on one of the other pages we are reading.
1225
# We could try searching for them in the immediate previous or next
1226
# page. If they occur "later" we could put them in a pending lookup
1227
# set, and then for each node we read thereafter we could check to
1228
# see if they are present.
1229
# However, we don't know the impact of keeping this list of things
1230
# that I'm going to search for every node I come across from here on
1232
# It doesn't handle the case when the parent key is missing on a
1233
# page that we *don't* read. So we already have to handle being
1234
# re-entrant for that.
1235
# Since most keys contain a date string, they are more likely to be
1236
# found earlier in the file than later, but we would know that right
1237
# away (key < min_key), and wouldn't keep searching it on every other
1238
# page that we read.
1239
# Mostly, it is an idea, one which should be benchmarked.
1240
parents_not_on_page = set()
1242
for node_index, sub_keys in nodes_and_keys:
1245
# sub_keys is all of the keys we are looking for that should exist
1246
# on this page, if they aren't here, then they won't be found
1247
node = nodes[node_index]
1248
node_keys = node.keys
1249
parents_to_check = set()
1250
for next_sub_key in sub_keys:
1251
if next_sub_key not in node_keys:
1252
# This one is just not present in the index at all
1253
missing_keys.add(next_sub_key)
1255
value, refs = node_keys[next_sub_key]
1256
parent_keys = refs[ref_list_num]
1257
parent_map[next_sub_key] = parent_keys
1258
parents_to_check.update(parent_keys)
1259
# Don't look for things we've already found
1260
parents_to_check = parents_to_check.difference(parent_map)
1261
# this can be used to test the benefit of having the check loop
1263
# parents_not_on_page.update(parents_to_check)
1265
while parents_to_check:
1266
next_parents_to_check = set()
1267
for key in parents_to_check:
1268
if key in node_keys:
1269
value, refs = node_keys[key]
1270
parent_keys = refs[ref_list_num]
1271
parent_map[key] = parent_keys
1272
next_parents_to_check.update(parent_keys)
1274
# This parent either is genuinely missing, or should be
1275
# found on another page. Perf test whether it is better
1276
# to check if this node should fit on this page or not.
1277
# in the 'everything-in-one-pack' scenario, this *not*
1278
# doing the check is 237ms vs 243ms.
1279
# So slightly better, but I assume the standard 'lots
1280
# of packs' is going to show a reasonable improvement
1281
# from the check, because it avoids 'going around
1282
# again' for everything that is in another index
1283
# parents_not_on_page.add(key)
1284
# Missing for some reason
1285
if key < node.min_key:
1286
# in the case of bzr.dev, 3.4k/5.3k misses are
1287
# 'earlier' misses (65%)
1288
parents_not_on_page.add(key)
1289
elif key > node.max_key:
1290
# This parent key would be present on a different
1292
parents_not_on_page.add(key)
1294
# assert key != node.min_key and key != node.max_key
1295
# If it was going to be present, it would be on
1296
# *this* page, so mark it missing.
1297
missing_keys.add(key)
1298
parents_to_check = next_parents_to_check.difference(parent_map)
1299
# Might want to do another .difference() from missing_keys
1300
# parents_not_on_page could have been found on a different page, or be
1301
# known to be missing. So cull out everything that has already been
1303
search_keys = parents_not_on_page.difference(
1304
parent_map).difference(missing_keys)
1307
def iter_entries_prefix(self, keys):
1308
"""Iterate over keys within the index using prefix matching.
1310
Prefix matching is applied within the tuple of a key, not to within
1311
the bytestring of each key element. e.g. if you have the keys ('foo',
1312
'bar'), ('foobar', 'gam') and do a prefix search for ('foo', None) then
1313
only the former key is returned.
1315
WARNING: Note that this method currently causes a full index parse
1316
unconditionally (which is reasonably appropriate as it is a means for
1317
thunking many small indices into one larger one and still supplies
1318
iter_all_entries at the thunk layer).
1320
:param keys: An iterable providing the key prefixes to be retrieved.
1321
Each key prefix takes the form of a tuple the length of a key, but
1322
with the last N elements 'None' rather than a regular bytestring.
1323
The first element cannot be 'None'.
1324
:return: An iterable as per iter_all_entries, but restricted to the
1325
keys with a matching prefix to those supplied. No additional keys
1326
will be returned, and every match that is in the index will be
1329
keys = sorted(set(keys))
1332
# Load if needed to check key lengths
1333
if self._key_count is None:
1334
self._get_root_node()
1335
# TODO: only access nodes that can satisfy the prefixes we are looking
1336
# for. For now, to meet API usage (as this function is not used by
1337
# current bzrlib) just suck the entire index and iterate in memory.
1339
if self.node_ref_lists:
1340
if self._key_length == 1:
1341
for _1, key, value, refs in self.iter_all_entries():
1342
nodes[key] = value, refs
1345
for _1, key, value, refs in self.iter_all_entries():
1346
key_value = key, value, refs
1347
# For a key of (foo, bar, baz) create
1348
# _nodes_by_key[foo][bar][baz] = key_value
1349
key_dict = nodes_by_key
1350
for subkey in key[:-1]:
1351
key_dict = key_dict.setdefault(subkey, {})
1352
key_dict[key[-1]] = key_value
1354
if self._key_length == 1:
1355
for _1, key, value in self.iter_all_entries():
1359
for _1, key, value in self.iter_all_entries():
1360
key_value = key, value
1361
# For a key of (foo, bar, baz) create
1362
# _nodes_by_key[foo][bar][baz] = key_value
1363
key_dict = nodes_by_key
1364
for subkey in key[:-1]:
1365
key_dict = key_dict.setdefault(subkey, {})
1366
key_dict[key[-1]] = key_value
1367
if self._key_length == 1:
1371
raise errors.BadIndexKey(key)
1372
if len(key) != self._key_length:
1373
raise errors.BadIndexKey(key)
1375
if self.node_ref_lists:
1376
value, node_refs = nodes[key]
1377
yield self, key, value, node_refs
1379
yield self, key, nodes[key]
1386
raise errors.BadIndexKey(key)
1387
if len(key) != self._key_length:
1388
raise errors.BadIndexKey(key)
1389
# find what it refers to:
1390
key_dict = nodes_by_key
1391
elements = list(key)
1392
# find the subdict whose contents should be returned.
1394
while len(elements) and elements[0] is not None:
1395
key_dict = key_dict[elements[0]]
1398
# a non-existant lookup.
1403
key_dict = dicts.pop(-1)
1404
# can't be empty or would not exist
1405
item, value = key_dict.iteritems().next()
1406
if type(value) == dict:
1408
dicts.extend(key_dict.itervalues())
1411
for value in key_dict.itervalues():
1412
# each value is the key:value:node refs tuple
1414
yield (self, ) + value
1416
# the last thing looked up was a terminal element
1417
yield (self, ) + key_dict
1419
def key_count(self):
1420
"""Return an estimate of the number of keys in this index.
1422
For BTreeGraphIndex the estimate is exact as it is contained in the
1425
if self._key_count is None:
1426
self._get_root_node()
1427
return self._key_count
1429
def _compute_row_offsets(self):
1430
"""Fill out the _row_offsets attribute based on _row_lengths."""
1433
for row in self._row_lengths:
1434
offsets.append(row_offset)
1436
offsets.append(row_offset)
1437
self._row_offsets = offsets
1439
def _parse_header_from_bytes(self, bytes):
1440
"""Parse the header from a region of bytes.
1442
:param bytes: The data to parse.
1443
:return: An offset, data tuple such as readv yields, for the unparsed
1444
data. (which may be of length 0).
1446
signature = bytes[0:len(self._signature())]
1447
if not signature == self._signature():
1448
raise errors.BadIndexFormatSignature(self._name, BTreeGraphIndex)
1449
lines = bytes[len(self._signature()):].splitlines()
1450
options_line = lines[0]
1451
if not options_line.startswith(_OPTION_NODE_REFS):
1452
raise errors.BadIndexOptions(self)
1454
self.node_ref_lists = int(options_line[len(_OPTION_NODE_REFS):])
1456
raise errors.BadIndexOptions(self)
1457
options_line = lines[1]
1458
if not options_line.startswith(_OPTION_KEY_ELEMENTS):
1459
raise errors.BadIndexOptions(self)
1461
self._key_length = int(options_line[len(_OPTION_KEY_ELEMENTS):])
1463
raise errors.BadIndexOptions(self)
1464
options_line = lines[2]
1465
if not options_line.startswith(_OPTION_LEN):
1466
raise errors.BadIndexOptions(self)
1468
self._key_count = int(options_line[len(_OPTION_LEN):])
1470
raise errors.BadIndexOptions(self)
1471
options_line = lines[3]
1472
if not options_line.startswith(_OPTION_ROW_LENGTHS):
1473
raise errors.BadIndexOptions(self)
1475
self._row_lengths = map(int, [length for length in
1476
options_line[len(_OPTION_ROW_LENGTHS):].split(',')
1479
raise errors.BadIndexOptions(self)
1480
self._compute_row_offsets()
1482
# calculate the bytes we have processed
1483
header_end = (len(signature) + sum(map(len, lines[0:4])) + 4)
1484
return header_end, bytes[header_end:]
1486
def _read_nodes(self, nodes):
1487
"""Read some nodes from disk into the LRU cache.
1489
This performs a readv to get the node data into memory, and parses each
1490
node, then yields it to the caller. The nodes are requested in the
1491
supplied order. If possible doing sort() on the list before requesting
1492
a read may improve performance.
1494
:param nodes: The nodes to read. 0 - first node, 1 - second node etc.
1497
# may be the byte string of the whole file
1499
# list of (offset, length) regions of the file that should, evenually
1500
# be read in to data_ranges, either from 'bytes' or from the transport
1502
base_offset = self._base_offset
1504
offset = (index * _PAGE_SIZE)
1507
# Root node - special case
1509
size = min(_PAGE_SIZE, self._size)
1511
# The only case where we don't know the size, is for very
1512
# small indexes. So we read the whole thing
1513
bytes = self._transport.get_bytes(self._name)
1514
num_bytes = len(bytes)
1515
self._size = num_bytes - base_offset
1516
# the whole thing should be parsed out of 'bytes'
1517
ranges = [(start, min(_PAGE_SIZE, num_bytes - start))
1518
for start in xrange(base_offset, num_bytes, _PAGE_SIZE)]
1521
if offset > self._size:
1522
raise AssertionError('tried to read past the end'
1523
' of the file %s > %s'
1524
% (offset, self._size))
1525
size = min(size, self._size - offset)
1526
ranges.append((base_offset + offset, size))
1529
elif bytes is not None:
1530
# already have the whole file
1531
data_ranges = [(start, bytes[start:start+size])
1532
for start, size in ranges]
1533
elif self._file is None:
1534
data_ranges = self._transport.readv(self._name, ranges)
1537
for offset, size in ranges:
1538
self._file.seek(offset)
1539
data_ranges.append((offset, self._file.read(size)))
1540
for offset, data in data_ranges:
1541
offset -= base_offset
1543
# extract the header
1544
offset, data = self._parse_header_from_bytes(data)
1547
bytes = zlib.decompress(data)
1548
if bytes.startswith(_LEAF_FLAG):
1549
node = _LeafNode(bytes, self._key_length, self.node_ref_lists)
1550
elif bytes.startswith(_INTERNAL_FLAG):
1551
node = _InternalNode(bytes)
1553
raise AssertionError("Unknown node type for %r" % bytes)
1554
yield offset / _PAGE_SIZE, node
1556
def _signature(self):
1557
"""The file signature for this index type."""
1561
"""Validate that everything in the index can be accessed."""
1562
# just read and parse every node.
1563
self._get_root_node()
1564
if len(self._row_lengths) > 1:
1565
start_node = self._row_offsets[1]
1567
# We shouldn't be reading anything anyway
1569
node_end = self._row_offsets[-1]
1570
for node in self._read_nodes(range(start_node, node_end)):
1575
from bzrlib import _btree_serializer_pyx as _btree_serializer
1576
except ImportError, e:
1577
osutils.failed_to_load_extension(e)
1578
from bzrlib import _btree_serializer_py as _btree_serializer
added
removed
bzrlib/btree_index.py
