def fast_encode():
# Only use in cases where you *know* the data contains only basic
# Python objects
pickler = Pickler(1)
pickler.fast = 1
dump = pickler.dump
def fast_encode(*args):
return dump(args, 1)
return fast_encode
def fast_encode():
# Only use in cases where you *know* the data contains only basic
# Python objects
pickler = Pickler(1)
pickler.fast = 1
dump = pickler.dump
def fast_encode(*args):
return dump(args, 1)
return fast_encode
def encode(*args): # args: (msgid, flags, name, args)
# (We used to have a global pickler, but that's not thread-safe. :-( )
# It's not thread safe if, in the couse of pickling, we call the
# Python interpeter, which releases the GIL.
# Note that args may contain very large binary pickles already; for
# this reason, it's important to use proto 1 (or higher) pickles here
# too. For a long time, this used proto 0 pickles, and that can
# bloat our pickle to 4x the size (due to high-bit and control bytes
# being represented by \xij escapes in proto 0).
# Undocumented: cPickle.Pickler accepts a lone protocol argument;
# pickle.py does not.
if PY3:
# XXX: Py3: Needs optimization.
f = BytesIO()
pickler = Pickler(f, 3)
pickler.fast = 1
pickler.dump(args)
res = f.getvalue()
return res
else:
pickler = Pickler(1)
pickler.fast = 1
return pickler.dump(args, 1)
def encode(*args): # args: (msgid, flags, name, args)
# (We used to have a global pickler, but that's not thread-safe. :-( )
# It's not thread safe if, in the couse of pickling, we call the
# Python interpeter, which releases the GIL.
# Note that args may contain very large binary pickles already; for
# this reason, it's important to use proto 1 (or higher) pickles here
# too. For a long time, this used proto 0 pickles, and that can
# bloat our pickle to 4x the size (due to high-bit and control bytes
# being represented by \xij escapes in proto 0).
# Undocumented: cPickle.Pickler accepts a lone protocol argument;
# pickle.py does not.
if PY3:
# XXX: Py3: Needs optimization.
f = BytesIO()
pickler = Pickler(f, 3)
pickler.fast = 1
pickler.dump(args)
res = f.getvalue()
return res
else:
pickler = Pickler(1)
pickler.fast = 1
# Only CPython's cPickle supports dumping
# and returning in one operation:
# return pickler.dump(args, 1)
# For PyPy we must return the value; fortunately this
# works the same on CPython and is no more expensive
pickler.dump(args)
return pickler.getvalue()
def __init__(self):
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.lock = Lock()
self.closed = 0
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
def __init__(self, connection_generation):
self.connection_generation = connection_generation
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
self.server_resolved = set() # {oid}
self.client_resolved = {} # {oid -> buffer_record_number}
self.exception = None
def encode(*args): # args: (msgid, flags, name, args)
# (We used to have a global pickler, but that's not thread-safe. :-( )
# It's not thread safe if, in the couse of pickling, we call the
# Python interpeter, which releases the GIL.
# Note that args may contain very large binary pickles already; for
# this reason, it's important to use proto 1 (or higher) pickles here
# too. For a long time, this used proto 0 pickles, and that can
# bloat our pickle to 4x the size (due to high-bit and control bytes
# being represented by \xij escapes in proto 0).
# Undocumented: cPickle.Pickler accepts a lone protocol argument;
# pickle.py does not.
# XXX: Py3: Needs optimization.
f = BytesIO()
pickler = Pickler(f, 3)
pickler.fast = 1
pickler.dump(args)
res = f.getvalue()
return res
def __init__(self):
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.lock = Lock()
self.closed = 0
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
class CommitLog(object):
def __init__(self):
self.file = tempfile.TemporaryFile(suffix=".comit-log")
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
self.stores = 0
def size(self):
return self.file.tell()
def delete(self, oid, serial):
self.pickler.dump(('_delete', (oid, serial)))
self.stores += 1
def checkread(self, oid, serial):
self.pickler.dump(('_checkread', (oid, serial)))
self.stores += 1
def store(self, oid, serial, data):
self.pickler.dump(('_store', (oid, serial, data)))
self.stores += 1
def restore(self, oid, serial, data, prev_txn):
self.pickler.dump(('_restore', (oid, serial, data, prev_txn)))
self.stores += 1
def undo(self, transaction_id):
self.pickler.dump(('_undo', (transaction_id, )))
self.stores += 1
def __iter__(self):
self.file.seek(0)
unpickler = Unpickler(self.file)
for i in range(self.stores):
yield unpickler.load()
def close(self):
if self.file:
self.file.close()
self.file = None
def __init__(self, connection_generation):
self.connection_generation = connection_generation
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
self.server_resolved = set() # {oid}
self.client_resolved = {} # {oid -> buffer_record_number}
self.exception = None
def __init__(self):
self.file = tempfile.TemporaryFile(suffix=".comit-log")
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
self.stores = 0
class TransactionBuffer:
# Valid call sequences:
#
# ((store | invalidate)* begin_iterate next* clear)* close
#
# get_size can be called any time
# The TransactionBuffer is used by client storage to hold update
# data until the tpc_finish(). It is normally used by a single
# thread, because only one thread can be in the two-phase commit
# at one time.
# It is possible, however, for one thread to close the storage
# while another thread is in the two-phase commit. We must use
# a lock to guard against this race, because unpredictable things
# can happen in Python if one thread closes a file that another
# thread is reading. In a debug build, an assert() can fail.
# Caution: If an operation is performed on a closed TransactionBuffer,
# it has no effect and does not raise an exception. The only time
# this should occur is when a ClientStorage is closed in one
# thread while another thread is in its tpc_finish(). It's not
# clear what should happen in this case. If the tpc_finish()
# completes without error, the Connection using it could have
# inconsistent data. This should have minimal effect, though,
# because the Connection is connected to a closed storage.
def __init__(self):
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.lock = Lock()
self.closed = 0
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
def close(self):
self.clear()
self.lock.acquire()
try:
self.closed = 1
try:
self.file.close()
except OSError:
pass
finally:
self.lock.release()
def store(self, oid, data):
"""Store oid, version, data for later retrieval"""
self.lock.acquire()
try:
if self.closed:
return
self.pickler.dump((oid, data))
self.count += 1
# Estimate per-record cache size
self.size = self.size + (data and len(data) or 0) + 31
finally:
self.lock.release()
def storeBlob(self, oid, blobfilename):
self.blobs.append((oid, blobfilename))
def invalidate(self, oid):
self.lock.acquire()
try:
if self.closed:
return
self.pickler.dump((oid, None))
self.count += 1
finally:
self.lock.release()
def clear(self):
"""Mark the buffer as empty"""
self.lock.acquire()
try:
if self.closed:
return
self.file.seek(0)
self.count = 0
self.size = 0
while self.blobs:
oid, blobfilename = self.blobs.pop()
if os.path.exists(blobfilename):
ZODB.blob.remove_committed(blobfilename)
finally:
self.lock.release()
def __iter__(self):
self.lock.acquire()
try:
if self.closed:
return
self.file.flush()
self.file.seek(0)
return TBIterator(self.file, self.count)
finally:
self.lock.release()
class TransactionBuffer:
# Valid call sequences:
#
# ((store | invalidate)* begin_iterate next* clear)* close
#
# get_size can be called any time
# The TransactionBuffer is used by client storage to hold update
# data until the tpc_finish(). It is normally used by a single
# thread, because only one thread can be in the two-phase commit
# at one time.
# It is possible, however, for one thread to close the storage
# while another thread is in the two-phase commit. We must use
# a lock to guard against this race, because unpredictable things
# can happen in Python if one thread closes a file that another
# thread is reading. In a debug build, an assert() can fail.
# Caution: If an operation is performed on a closed TransactionBuffer,
# it has no effect and does not raise an exception. The only time
# this should occur is when a ClientStorage is closed in one
# thread while another thread is in its tpc_finish(). It's not
# clear what should happen in this case. If the tpc_finish()
# completes without error, the Connection using it could have
# inconsistent data. This should have minimal effect, though,
# because the Connection is connected to a closed storage.
def __init__(self):
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.lock = Lock()
self.closed = 0
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
def close(self):
self.clear()
self.lock.acquire()
try:
self.closed = 1
try:
self.file.close()
except OSError:
pass
finally:
self.lock.release()
def store(self, oid, data):
"""Store oid, version, data for later retrieval"""
self.lock.acquire()
try:
if self.closed:
return
self.pickler.dump((oid, data))
self.count += 1
# Estimate per-record cache size
self.size = self.size + (data and len(data) or 0) + 31
finally:
self.lock.release()
def storeBlob(self, oid, blobfilename):
self.blobs.append((oid, blobfilename))
def invalidate(self, oid):
self.lock.acquire()
try:
if self.closed:
return
self.pickler.dump((oid, None))
self.count += 1
finally:
self.lock.release()
def clear(self):
"""Mark the buffer as empty"""
self.lock.acquire()
try:
if self.closed:
return
self.file.seek(0)
self.count = 0
self.size = 0
while self.blobs:
oid, blobfilename = self.blobs.pop()
if os.path.exists(blobfilename):
ZODB.blob.remove_committed(blobfilename)
finally:
self.lock.release()
def __iter__(self):
self.lock.acquire()
try:
if self.closed:
return
self.file.flush()
self.file.seek(0)
return TBIterator(self.file, self.count)
finally:
self.lock.release()
class TransactionBuffer(object):
# The TransactionBuffer is used by client storage to hold update
# data until the tpc_finish(). It is only used by a single
# thread, because only one thread can be in the two-phase commit
# at one time.
def __init__(self, connection_generation):
self.connection_generation = connection_generation
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
self.server_resolved = set() # {oid}
self.client_resolved = {} # {oid -> buffer_record_number}
self.exception = None
def close(self):
self.file.close()
def store(self, oid, data):
"""Store oid, version, data for later retrieval"""
self.pickler.dump((oid, data))
self.count += 1
# Estimate per-record cache size
self.size = self.size + (data and len(data) or 0) + 31
def resolve(self, oid, data):
"""Record client-resolved data
"""
self.store(oid, data)
self.client_resolved[oid] = self.count - 1
def server_resolve(self, oid):
self.server_resolved.add(oid)
def storeBlob(self, oid, blobfilename):
self.blobs.append((oid, blobfilename))
def __iter__(self):
self.file.seek(0)
unpickler = Unpickler(self.file)
server_resolved = self.server_resolved
client_resolved = self.client_resolved
# Gaaaa, this is awkward. There can be entries in serials that
# aren't in the buffer, because undo. Entries can be repeated
# in the buffer, because ZODB. (Maybe this is a bug now, but
# it may be a feature later.
seen = set()
for i in range(self.count):
oid, data = unpickler.load()
if client_resolved.get(oid, i) == i:
seen.add(oid)
yield oid, data, oid in server_resolved
# We may have leftover oids because undo
for oid in server_resolved:
if oid not in seen:
yield oid, None, True
# Support ZEO4:
def serialnos(self, args):
for oid in args:
if isinstance(oid, bytes):
self.server_resolved.add(oid)
else:
oid, serial = oid
if isinstance(serial, Exception):
self.exception = serial
elif serial == b'rs':
self.server_resolved.add(oid)
class TransactionBuffer:
# The TransactionBuffer is used by client storage to hold update
# data until the tpc_finish(). It is only used by a single
# thread, because only one thread can be in the two-phase commit
# at one time.
def __init__(self, connection_generation):
self.connection_generation = connection_generation
self.file = tempfile.TemporaryFile(suffix=".tbuf")
self.count = 0
self.size = 0
self.blobs = []
# It's safe to use a fast pickler because the only objects
# stored are builtin types -- strings or None.
self.pickler = Pickler(self.file, 1)
self.pickler.fast = 1
self.server_resolved = set() # {oid}
self.client_resolved = {} # {oid -> buffer_record_number}
self.exception = None
def close(self):
self.file.close()
def store(self, oid, data):
"""Store oid, version, data for later retrieval"""
self.pickler.dump((oid, data))
self.count += 1
# Estimate per-record cache size
self.size = self.size + (data and len(data) or 0) + 31
def resolve(self, oid, data):
"""Record client-resolved data
"""
self.store(oid, data)
self.client_resolved[oid] = self.count - 1
def server_resolve(self, oid):
self.server_resolved.add(oid)
def storeBlob(self, oid, blobfilename):
self.blobs.append((oid, blobfilename))
def __iter__(self):
self.file.seek(0)
unpickler = Unpickler(self.file)
server_resolved = self.server_resolved
client_resolved = self.client_resolved
# Gaaaa, this is awkward. There can be entries in serials that
# aren't in the buffer, because undo. Entries can be repeated
# in the buffer, because ZODB. (Maybe this is a bug now, but
# it may be a feature later.
seen = set()
for i in range(self.count):
oid, data = unpickler.load()
if client_resolved.get(oid, i) == i:
seen.add(oid)
yield oid, data, oid in server_resolved
# We may have leftover oids because undo
for oid in server_resolved:
if oid not in seen:
yield oid, None, True
# Support ZEO4:
def serialnos(self, args):
for oid in args:
if isinstance(oid, bytes):
self.server_resolved.add(oid)
else:
oid, serial = oid
if isinstance(serial, Exception):
self.exception = serial
elif serial == b'rs':
self.server_resolved.add(oid)
