Any way to get one process to have a write lock and others to just read on parallel?
python, python-2.7
Solution
One more implementation of the ReadWriteLock, takes care of the writer starvation issue and supports promotion of read lock to write lock, if requested for during construction. It utilizes only one Lock and a Condition.
# From O'Reilly Python Cookbook by David Ascher, Alex Martelli
# With changes to cover the starvation situation where a continuous
# stream of readers may starve a writer, Lock Promotion and Context Managers
class ReadWriteLock:
""" A lock object that allows many simultaneous "read locks", but
only one "write lock." """
def __init__(self, withPromotion=False):
self._read_ready = threading.Condition(threading.RLock( ))
self._readers = 0
self._writers = 0
self._promote = withPromotion
self._readerList = [] # List of Reader thread IDs
self._writerList = [] # List of Writer thread IDs
def acquire_read(self):
logging.debug("RWL : acquire_read()")
""" Acquire a read lock. Blocks only if a thread has
acquired the write lock. """
self._read_ready.acquire( )
try:
while self._writers > 0:
self._read_ready.wait()
self._readers += 1
finally:
self._readerList.append(threading.get_ident())
self._read_ready.release( )
def release_read(self):
logging.debug("RWL : release_read()")
""" Release a read lock. """
self._read_ready.acquire( )
try:
self._readers -= 1
if not self._readers:
self._read_ready.notifyAll( )
finally:
self._readerList.remove(threading.get_ident())
self._read_ready.release( )
def acquire_write(self):
logging.debug("RWL : acquire_write()")
""" Acquire a write lock. Blocks until there are no
acquired read or write locks. """
self._read_ready.acquire( ) # A re-entrant lock lets a thread re-acquire the lock
self._writers += 1
self._writerList.append(threading.get_ident())
while self._readers > 0:
# promote to write lock, only if all the readers are trying to promote to writer
# If there are other reader threads, then wait till they complete reading
if self._promote and threading.get_ident() in self._readerList and set(self._readerList).issubset(set(self._writerList)):
break
else:
self._read_ready.wait( )
def release_write(self):
logging.debug("RWL : release_write()")
""" Release a write lock. """
self._writers -= 1
self._writerList.remove(threading.get_ident())
self._read_ready.notifyAll( )
self._read_ready.release( )
#----------------------------------------------------------------------------------------------------------
class ReadRWLock:
# Context Manager class for ReadWriteLock
def __init__(self, rwLock):
self.rwLock = rwLock
def __enter__(self):
self.rwLock.acquire_read()
return self # Not mandatory, but returning to be safe
def __exit__(self, exc_type, exc_value, traceback):
self.rwLock.release_read()
return False # Raise the exception, if exited due to an exception
#----------------------------------------------------------------------------------------------------------
class WriteRWLock:
# Context Manager class for ReadWriteLock
def __init__(self, rwLock):
self.rwLock = rwLock
def __enter__(self):
self.rwLock.acquire_write()
return self # Not mandatory, but returning to be safe
def __exit__(self, exc_type, exc_value, traceback):
self.rwLock.release_write()
return False # Raise the exception, if exited due to an exception
#----------------------------------------------------------------------------------------------------------
Problem
Let's say I have a dictionary that contains key-values where the value is an object with a lock. Each process needs to get the lock to modify the specific object, but the keys in the dictionary are stable. Now, as I said before, if a new key is to be added with a new object (not very often), is there a way to use a lock that will exclude the other processes from accessing the objects while I add the key to dictionary? The reason for this, is that I can't see the point in making the dictionary exclusive to all processes when it is unlikely that they will operate on the same objects, so the objects are the only ones that need to be waited on. When I modify the integrity of the dictionary, I want to block every process from accessing it, but while not, I want them to have parallel access to it.