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SQLAlchemy(Postgres)和事务

[英]SQLAlchemy(Postgres) and transaction

I want a record from a table(queue) to be selected, locked(no other process can edit this record) and updated at a later point in time. 我希望从表(队列)中选择一条记录,将其锁定(没有其他进程可以编辑此记录)并在以后的某个时间点进行更新。
I assumed if I put the whole querying and updating in a transaction, no other process can edit/query the same record. 我假设如果将整个查询和更新都放在事务中,那么其他任何进程都无法编辑/查询同一条记录。 But I am not quite able to achieve this. 但是我不太能够实现这一目标。

def move(one, two):
  from settings import DATABASE_USER, DATABASE_PASSWORD, DATABASE_HOST, DATABASE_PORT, DATABASE_NAME
  from sqlalchemy.orm import sessionmaker, scoped_session
  from sqlalchemy import create_engine
  engine = create_engine('postgres://%s:%s@%s:%s/%s' % (DATABASE_USER, DATABASE_PASSWORD, DATABASE_HOST, DATABASE_PORT, DATABASE_NAME), echo = False)
  conn = engine.connect()
  tran = conn.begin()
  Session = scoped_session(sessionmaker())
  session = Session(bind=conn)
  url = session.query(URLQueue).filter(URLQueue.status == one).first()
  print "Got record: " + str(url.urlqueue_id)
  time.sleep(5)
  url.status = two
  session.merge(url)
  session.close()
  tran.commit()

move('START', 'WIP')

If I start 2 process, they both update the same record. 如果我开始2进程,它们都将更新同一条记录。 I am not sure if I created the connections/sessions/transactions properly. 我不确定是否正确创建了连接/会话/事务。 Any pointers? 有指针吗?

使您的事务隔离级别可序列化,或通过query.with_lockmode('update')获取记录以进行更新。

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