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# Copyright (C) 2008, 2009, 2010 Canonical Ltd
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# Copyright (C) 2008, 2009 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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# If each line is 50 bytes, and you have 255 internal pages, with 255-way fan
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# out, it takes 3.1MB to cache the layer.
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_PAGE_CACHE_SIZE = 4*1024*1024
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# Per thread caches for 2 reasons:
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# - in the server we may be serving very different content, so we get less
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# - we avoid locking on every cache lookup.
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_thread_caches = threading.local()
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_thread_caches.page_cache = None
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"""Get the per-thread page cache.
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We need a function to do this because in a new thread the _thread_caches
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threading.local object does not have the cache initialized yet.
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page_cache = getattr(_thread_caches, 'page_cache', None)
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if page_cache is None:
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# We are caching bytes so len(value) is perfectly accurate
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page_cache = lru_cache.LRUSizeCache(_PAGE_CACHE_SIZE)
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_thread_caches.page_cache = page_cache
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# We are caching bytes so len(value) is perfectly accurate
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_page_cache = lru_cache.LRUSizeCache(_PAGE_CACHE_SIZE)
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# If a ChildNode falls below this many bytes, we check for a remap
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_INTERESTING_NEW_SIZE = 50
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# Check preconditions first.
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as_st = StaticTuple.from_sequence
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new_items = set([as_st(key) for (old, key, value) in delta
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if key is not None and old is None])
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new_items = set([key for (old, key, value) in delta if key is not None
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existing_new = list(self.iteritems(key_filter=new_items))
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raise errors.InconsistentDeltaDelta(delta,
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def _read_bytes(self, key):
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return _get_cache()[key]
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return _page_cache[key]
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stream = self._store.get_record_stream([key], 'unordered', True)
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bytes = stream.next().get_bytes_as('fulltext')
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_get_cache()[key] = bytes
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_page_cache[key] = bytes
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def _dump_tree(self, include_keys=False):
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root_key = klass._create_directly(store, initial_value,
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maximum_size=maximum_size, key_width=key_width,
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search_key_func=search_key_func)
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if type(root_key) is not StaticTuple:
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raise AssertionError('we got a %s instead of a StaticTuple'
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assert type(root_key) is StaticTuple
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node = LeafNode(search_key_func=search_key_func)
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node.set_maximum_size(maximum_size)
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node._key_width = key_width
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as_st = StaticTuple.from_sequence
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node._items = dict([(as_st(key), val) for key, val
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in initial_value.iteritems()])
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node._items = dict(initial_value)
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node._raw_size = sum([node._key_value_len(key, value)
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for key,value in node._items.iteritems()])
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for key,value in initial_value.iteritems()])
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node._len = len(node._items)
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node._compute_search_prefix()
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node._compute_serialised_prefix()
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for split, subnode in node_details:
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node.add_node(split, subnode)
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keys = list(node.serialise(store))
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assert (type(root_node) is StaticTuple
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and len(root_node) == 1 and
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type(root_node[0]) is str)
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def iter_changes(self, basis):
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"""Iterate over the changes between basis and self.
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def iteritems(self, key_filter=None):
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"""Iterate over the entire CHKMap's contents."""
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self._ensure_root()
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if key_filter is not None:
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as_st = StaticTuple.from_sequence
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key_filter = [as_st(key) for key in key_filter]
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return self._root_node.iteritems(self._store, key_filter=key_filter)
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"""Return the key for this map."""
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if type(self._root_node) is StaticTuple:
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_check_key(self._root_node)
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return self._root_node
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return self._root_node._key
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:param key: A key to map.
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:param value: The value to assign to key.
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key = StaticTuple.from_sequence(key)
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# Need a root object.
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self._ensure_root()
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prefix, node_details = self._root_node.map(self._store, key, value)
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def _node_key(self, node):
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"""Get the key for a node whether it's a tuple or node."""
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if type(node) is tuple:
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node = StaticTuple.from_sequence(node)
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if type(node) is StaticTuple:
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elif type(node) is tuple:
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raise TypeError('node %r should be a StaticTuple not tuple'
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def unmap(self, key, check_remap=True):
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"""remove key from the map."""
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key = StaticTuple.from_sequence(key)
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self._ensure_root()
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if type(self._root_node) is InternalNode:
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unmapped = self._root_node.unmap(self._store, key,
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the key/value pairs.
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__slots__ = ('_common_serialised_prefix',)
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__slots__ = ('_common_serialised_prefix', '_serialise_key')
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def __init__(self, search_key_func=None):
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Node.__init__(self)
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# All of the keys in this leaf node share this common prefix
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self._common_serialised_prefix = None
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self._serialise_key = '\x00'.join
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if search_key_func is None:
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self._search_key_func = _search_key_plain
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:param bytes: The bytes of the node.
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:param key: The key that the serialised node has.
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key = static_tuple.expect_static_tuple(key)
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return _deserialise_leaf_node(bytes, key,
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search_key_func=search_key_func)
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raise AssertionError('%r must be known' % self._search_prefix)
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return self._search_prefix, [("", self)]
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_serialise_key = '\x00'.join
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def serialise(self, store):
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"""Serialise the LeafNode to store.
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bytes = ''.join(lines)
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if len(bytes) != self._current_size():
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raise AssertionError('Invalid _current_size')
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_get_cache().add(self._key, bytes)
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_page_cache.add(self._key, bytes)
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return [self._key]
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:param key: The key that the serialised node has.
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:return: An InternalNode instance.
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key = static_tuple.expect_static_tuple(key)
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if type(key) is not StaticTuple:
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import pdb; pdb.set_trace()
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key = StaticTuple.from_sequence(key).intern()
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return _deserialise_internal_node(bytes, key,
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search_key_func=search_key_func)
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prefix, node_key_filter = keys[record.key]
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node_and_filters.append((node, node_key_filter))
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self._items[prefix] = node
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_get_cache().add(record.key, bytes)
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_page_cache.add(record.key, bytes)
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for info in node_and_filters:
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lines.append(serialised[prefix_len:])
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sha1, _, _ = store.add_lines((None,), (), lines)
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self._key = StaticTuple("sha1:" + sha1,).intern()
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_get_cache().add(self._key, ''.join(lines))
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_page_cache.add(self._key, ''.join(lines))
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yield self._key
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def _search_key(self, key):
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def __init__(self, store, new_root_keys, old_root_keys,
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search_key_func, pb=None):
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# TODO: Should we add a StaticTuple barrier here? It would be nice to
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# force callers to use StaticTuple, because there will often be
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# lots of keys passed in here. And even if we cast it locally,
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# that just meanst that we will have *both* a StaticTuple and a
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# tuple() in memory, referring to the same object. (so a net
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# increase in memory, not a decrease.)
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self._store = store
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self._new_root_keys = new_root_keys
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self._old_root_keys = old_root_keys
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# All uninteresting chks that we have seen. By the time they are added
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# here, they should be either fully ignored, or queued up for
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# TODO: This might grow to a large size if there are lots of merge
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# parents, etc. However, it probably doesn't scale to O(history)
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# like _processed_new_refs does.
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self._all_old_chks = set(self._old_root_keys)
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# All items that we have seen from the old_root_keys
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self._all_old_items = set()
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# These are interesting items which were either read, or already in the
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# interesting queue (so we don't need to walk them again)
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# TODO: processed_new_refs becomes O(all_chks), consider switching to
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self._processed_new_refs = set()
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self._search_key_func = search_key_func
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self._state = None
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def _read_nodes_from_store(self, keys):
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# We chose not to use _get_cache(), because we think in
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# terms of records to be yielded. Also, we expect to touch each page
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# only 1 time during this code. (We may want to evaluate saving the
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# raw bytes into the page cache, which would allow a working tree
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# update after the fetch to not have to read the bytes again.)
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as_st = StaticTuple.from_sequence
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# We chose not to use _page_cache, because we think in terms of records
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# to be yielded. Also, we expect to touch each page only 1 time during
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# this code. (We may want to evaluate saving the raw bytes into the
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# page cache, which would allow a working tree update after the fetch
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# to not have to read the bytes again.)
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stream = self._store.get_record_stream(keys, 'unordered', True)
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for record in stream:
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if self._pb is not None:
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if type(node) is InternalNode:
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# Note we don't have to do node.refs() because we know that
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# there are no children that have been pushed into this node
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# Note: Using as_st() here seemed to save 1.2MB, which would
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# indicate that we keep 100k prefix_refs around while
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# processing. They *should* be shorter lived than that...
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# It does cost us ~10s of processing time
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#prefix_refs = [as_st(item) for item in node._items.iteritems()]
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prefix_refs = node._items.items()
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prefix_refs = []
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# Note: We don't use a StaticTuple here. Profiling showed a
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# minor memory improvement (0.8MB out of 335MB peak 0.2%)
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# But a significant slowdown (15s / 145s, or 10%)
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items = node._items.items()
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yield record, node, prefix_refs, items
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if p_r[1] not in all_old_chks]
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new_refs = [p_r[1] for p_r in prefix_refs]
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all_old_chks.update(new_refs)
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# TODO: This might be a good time to turn items into StaticTuple
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# instances and possibly intern them. However, this does not
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# impact 'initial branch' performance, so I'm not worrying
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self._all_old_items.update(items)
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# Queue up the uninteresting references
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# Don't actually put them in the 'to-read' queue until we have
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# current design allows for this, as callers will do the work
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# to make the results unique. We might profile whether we
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# gain anything by ensuring unique return values for items
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# TODO: This might be a good time to cast to StaticTuple, as
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# self._new_item_queue will hold the contents of multiple
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# records for an extended lifetime
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new_items = [item for item in items
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if item not in self._all_old_items]
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self._new_item_queue.extend(new_items)
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yield None, new_items
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refs = refs.difference(all_old_chks)
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processed_new_refs.update(refs)
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# TODO: Using a SimpleSet for self._processed_new_refs and
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# saved as much as 10MB of peak memory. However, it requires
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# implementing a non-pyrex version.
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next_refs = set()
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next_refs_update = next_refs.update
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# Inlining _read_nodes_from_store improves 'bzr branch bzr.dev'
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# from 1m54s to 1m51s. Consider it.
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for record, _, p_refs, items in self._read_nodes_from_store(refs):
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# using the 'if' check saves about 145s => 141s, when
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# streaming initial branch of Launchpad data.
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items = [item for item in items
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if item not in all_old_items]
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items = [item for item in items
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if item not in all_old_items]
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yield record, items
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next_refs_update([p_r[1] for p_r in p_refs])
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# set1.difference(set/dict) walks all of set1, and checks if it
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# exists in 'other'.
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# set1.difference(iterable) walks all of iterable, and does a
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# 'difference_update' on a clone of set1. Pick wisely based on the
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# expected sizes of objects.
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# in our case it is expected that 'new_refs' will always be quite
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next_refs = next_refs.difference(all_old_chks)
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next_refs = next_refs.difference(processed_new_refs)
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processed_new_refs.update(next_refs)
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self._old_queue = []
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all_old_chks = self._all_old_chks
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for record, _, prefix_refs, items in self._read_nodes_from_store(refs):
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# TODO: Use StaticTuple here?
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self._all_old_items.update(items)
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refs = [r for _,r in prefix_refs if r not in all_old_chks]
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self._old_queue.extend(refs)
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search_key_registry.register('hash-16-way', _search_key_16)
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search_key_registry.register('hash-255-way', _search_key_255)
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def _check_key(key):
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"""Helper function to assert that a key is properly formatted.
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This generally shouldn't be used in production code, but it can be helpful
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if type(key) is not StaticTuple:
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raise TypeError('key %r is not StaticTuple but %s' % (key, type(key)))
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if len(key) != 1:
added
removed
bzrlib/chk_map.py
