PySyncObj

PySyncObj is a python library for building fault-tolerant distributed systems. It provides the ability to replicate your application data between multiple servers. It has following features:

• raft protocol for leader election and log replication
• Log compaction - it use fork for copy-on-write while serializing data on disk
• Dynamic membership changes - you can do it with syncobj_admin utility or directly from your code
• Zero downtime deploy - no need to stop cluster to update nodes
• In-memory and on-disk serialization - you can use in-memory mode for small data and on-disk for big one
• Encryption - you can set password and use it in external network
• Python2 and Python3 on linux, macos and windows - no dependencies required (only optional one, eg. cryptography)
• Configurable event loop - it can works in separate thread with it's own event loop - or you can call onTick function inside your own one
• Convenient interface - you can easily transform arbitrary class into a replicated one (see example below).

Content

• Install
• Basic Usage
• "Batteries"
• API Documentation
• Performance
• Publications

Install

PySyncObj itself:

pip install pysyncobj

Cryptography for encryption (optional):

pip install cryptography

Usage

Consider you have a class that implements counter:

classMyCounter(object):
def__init__(self):
self.__counter=0defincCounter(self):
self.__counter+=1defgetCounter(self):
returnself.__counter

So, to transform your class into a replicated one:

• Inherit it from SyncObj
• Initialize SyncObj with a self address and a list of partner addresses. Eg. if you have serverA, serverB and serverC and want to use 4321 port, you should use self address serverA:4321 with partners [serverB:4321, serverC:4321] for your application, running at serverA; self address serverB:4321 with partners [serverA:4321, serverC:4321] for your application at serverB; self address serverC:4321 with partners [serverA:4321, serverB:4321] for app at serverC.
• Mark all your methods that modifies your class fields with @replicated decorator. So your final class will looks like:

classMyCounter(SyncObj):
def__init__(self):
super(MyCounter, self).__init__('serverA:4321', ['serverB:4321', 'serverC:4321'])
self.__counter=0@replicateddefincCounter(self):
self.__counter+=1defgetCounter(self):
returnself.__counter

And thats all! Now you can call incCounter on serverA, and check counter value on serverB - they will be synchronized.

Batteries

If you just need some distributed data structures - try built-in "batteries". Few examples:

Counter & Dict

frompysyncobjimportSyncObjfrompysyncobj.batteriesimportReplCounter, ReplDictcounter1=ReplCounter()
counter2=ReplCounter()
dict1=ReplDict()
syncObj=SyncObj('serverA:4321', ['serverB:4321', 'serverC:4321'], consumers=[counter1, counter2, dict1])
counter1.set(42, sync=True) # set initial value to 42, 'sync' means that operation is blockingcounter1.add(10, sync=True) # add 10 to counter valuecounter2.inc(sync=True) # increment counter value by onedict1.set('testKey1', 'testValue1', sync=True)
dict1['testKey2'] ='testValue2'# this is basically the same as previous, but asynchronous (non-blocking)print(counter1, counter2, dict1['testKey1'], dict1.get('testKey2'))

Lock

frompysyncobjimportSyncObjfrompysyncobj.batteriesimportReplLockManagerlockManager=ReplLockManager(autoUnlockTime=75) # Lock will be released if connection dropped for more than 75 secondssyncObj=SyncObj('serverA:4321', ['serverB:4321', 'serverC:4321'], consumers=[lockManager])
iflockManager.tryAcquire('testLockName', sync=True):
# do some actionslockManager.release('testLockName')

You can look at batteries implementation, examples and unit-tests for more use-cases. Also there is an API documentation. Feel free to create proposals and/or pull requests with new batteries, features, etc. Join our gitter chat if you have any questions.

Performance

Publications

• Adventures in fault tolerant alerting with Python
• Строим распределенную систему c PySyncObj