[英]Managing redis connections in Python
I have gone through multiple questions on this topic and I'm still confused.I'm trying to find the optimal way to share a database connection between multiple Python modules. 我已经就这个主题经历了多个问题,我仍然感到困惑。我正在努力寻找在多个Python模块之间共享数据库连接的最佳方式。 I have seen the Borg pattern as well but can't see how it would be useful when we need to share a database connection.
我也看过Borg模式,但是当我们需要共享数据库连接时,它看不出它是如何有用的。
Here's what I have : I'm using Redis as my database and would like to share a redis connection between multiple modules. 这就是我所拥有的:我使用Redis作为我的数据库,并希望在多个模块之间共享redis连接。
Option 1: As suggested by Jared below, I could just create a redis connection and pass it everywhere. 选项1:正如下面的Jared所建议的那样,我可以创建一个redis连接并将其传递到任何地方。
class Crawler:
def __init__(self, url_store):
self._url_store = url_store
class UrlStore:
def __init__(self, redis_client):
self._redis_client = redis_client
if __name__ == '__main__':
redis_client = redis.StrictRedis(host='localhost',
port=6379,
db=0,
decode_responses=True)
url_store = UrlStore(redis_client)
c = Crawler(url_store)
Option 2: Wrap the redis connection in a class. 选项2:将redis连接包装在一个类中。
class RedisConnection:
client = redis.StrictRedis(host='localhost',
port=6379,
db=0,
decode_responses=True)
class Crawler:
def __init__(self, url_store):
self._url_store = url_store
class UrlStore:
def __init__(self):
self._redis_client = RedisConnection.client
if __name__ == '__main__':
url_store = UrlStore()
c = Crawler(url_store)
With Option 1, there's no need to worry about singleton etc , but I think we are leaking the database information everywhere. 使用选项1,不需要担心单例等,但我认为我们正在泄漏数据库信息。
Option 2 just doesn't feel elegant. 选项2只是感觉不优雅。
I think there is a bigger design question here ..which is ..should a database connection be "injected" wherever its needed ...or ..should it be accessed from a global/singleton/ shared state as needed ? 我认为这里有一个更大的设计问题..这应该是一个数据库连接被“注入”在需要的地方......或者......应该根据需要从全局/单例/共享状态访问它?
Just an Idea, Create a database instance pool. 只是一个想法,创建一个数据库实例池。 Say three/five.
说三/五。 And have a dbPool dictionary
并有一个dbPool字典
dbPool = {client _inst1 = 0, client _inst2 = 0, client _inst3 = 0}
key -> db instance, value -> 0/1 (0- dbconn free, 1 dbconn inuse) key - > db instance,value - > 0/1(0-dbconn free,1 dbconn inuse)
And Whenever you needs a instance have a small thread safe fn: 并且每当你需要一个实例时都有一个小的线程安全fn:
def getThreadSafeConnection(self) :
for dbConn, value in self.dbPool.items() :
if value == 0 :
self.lock() # lock
self.dbPool[dbConn] = 1 # db cursor in use
self.unlock()
return dbConn
return createNewConn() // if no dbConn is free
Once your query executed reset the dbInstance Flag 执行查询后重置dbInstance标志
self.lock()
self.dbPool[dbConn] = 0 # db cursor is free
self.unlock()
This will ensures proper query execution. 这将确保正确的查询执行。 If you feel more db hit may occur, then increase your dbPool size.
如果您觉得可能发生更多数据包命中,则增加dbPool大小。
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