Are global variables thread safe in flask? How do I share data between requests?
In my app the state of a common object is changed by making requests, and the response depends on the state.
class SomeObj():
def __init__(self, param):
self.param = param
def query(self):
self.param += 1
return self.param
global_obj = SomeObj(0)
@app.route('/')
def home():
flash(global_obj.query())
render_template('index.html')
If I run this on my development server, I expect to get 1, 2, 3 and so on. If requests are made from 100 different clients simultaneously, can something go wrong? The expected result would be that the 100 different clients each see a unique number from 1 to 100. Or will something like this happen:
- Client 1 queries.
self.param
is incremented by 1. - Before the return statement can be executed, the thread switches over to client 2.
self.param
is incremented again. - The thread switches back to client 1, and the client is returned the number 2, say.
- Now the thread moves to client 2 and returns him/her the number 3.
Since there were only two clients, the expected results were 1 and 2, not 2 and 3. A number was skipped.
Will this actually happen as I scale up my application? What alternatives to a global variable should I look at?
python flask thread-safety
add a comment |
In my app the state of a common object is changed by making requests, and the response depends on the state.
class SomeObj():
def __init__(self, param):
self.param = param
def query(self):
self.param += 1
return self.param
global_obj = SomeObj(0)
@app.route('/')
def home():
flash(global_obj.query())
render_template('index.html')
If I run this on my development server, I expect to get 1, 2, 3 and so on. If requests are made from 100 different clients simultaneously, can something go wrong? The expected result would be that the 100 different clients each see a unique number from 1 to 100. Or will something like this happen:
- Client 1 queries.
self.param
is incremented by 1. - Before the return statement can be executed, the thread switches over to client 2.
self.param
is incremented again. - The thread switches back to client 1, and the client is returned the number 2, say.
- Now the thread moves to client 2 and returns him/her the number 3.
Since there were only two clients, the expected results were 1 and 2, not 2 and 3. A number was skipped.
Will this actually happen as I scale up my application? What alternatives to a global variable should I look at?
python flask thread-safety
add a comment |
In my app the state of a common object is changed by making requests, and the response depends on the state.
class SomeObj():
def __init__(self, param):
self.param = param
def query(self):
self.param += 1
return self.param
global_obj = SomeObj(0)
@app.route('/')
def home():
flash(global_obj.query())
render_template('index.html')
If I run this on my development server, I expect to get 1, 2, 3 and so on. If requests are made from 100 different clients simultaneously, can something go wrong? The expected result would be that the 100 different clients each see a unique number from 1 to 100. Or will something like this happen:
- Client 1 queries.
self.param
is incremented by 1. - Before the return statement can be executed, the thread switches over to client 2.
self.param
is incremented again. - The thread switches back to client 1, and the client is returned the number 2, say.
- Now the thread moves to client 2 and returns him/her the number 3.
Since there were only two clients, the expected results were 1 and 2, not 2 and 3. A number was skipped.
Will this actually happen as I scale up my application? What alternatives to a global variable should I look at?
python flask thread-safety
In my app the state of a common object is changed by making requests, and the response depends on the state.
class SomeObj():
def __init__(self, param):
self.param = param
def query(self):
self.param += 1
return self.param
global_obj = SomeObj(0)
@app.route('/')
def home():
flash(global_obj.query())
render_template('index.html')
If I run this on my development server, I expect to get 1, 2, 3 and so on. If requests are made from 100 different clients simultaneously, can something go wrong? The expected result would be that the 100 different clients each see a unique number from 1 to 100. Or will something like this happen:
- Client 1 queries.
self.param
is incremented by 1. - Before the return statement can be executed, the thread switches over to client 2.
self.param
is incremented again. - The thread switches back to client 1, and the client is returned the number 2, say.
- Now the thread moves to client 2 and returns him/her the number 3.
Since there were only two clients, the expected results were 1 and 2, not 2 and 3. A number was skipped.
Will this actually happen as I scale up my application? What alternatives to a global variable should I look at?
python flask thread-safety
python flask thread-safety
edited Jun 1 '18 at 16:38
davidism
64.1k12167185
64.1k12167185
asked Sep 28 '15 at 3:52
sayantankhansayantankhan
4611612
4611612
add a comment |
add a comment |
2 Answers
2
active
oldest
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You can't use global variables to hold this sort of data. Not only is it not thread safe, it's not process safe, and WSGI servers in production spawn multiple processes. Not only would your counts be wrong if you were using threads to handle requests, they would also vary depending on which process handled the request.
Use a data source outside of Flask to hold global data. A database, memcached, or redis are all appropriate separate storage areas, depending on your needs. If you need to load and access Python data, consider multiprocessing.Manager
. You could also use the session for simple data that is per-user.
The development server may run in single thread and process. You won't see the behavior you describe since each request will be handled synchronously. Enable threads or processes and you will see it. app.run(threaded=True)
or app.run(processes=10)
. (In 1.0 the server is threaded by default.)
Some WSGI servers may support gevent or another async worker. Global variables are still not thread safe because there's still no protection against most race conditions. You can still have a scenario where one worker gets a value, yields, another modifies it, yields, then the first worker also modifies it.
If you need to store some global data during a request, you may use Flask's g
object. Another common case is some top-level object that manages database connections. The distinction for this type of "global" is that it's unique to each request, not used between requests, and there's something managing the set up and teardown of the resource.
add a comment |
This is not really an answer to thread safety of globals.
But I think it is important to mention sessions here.
You are looking for a way to store client-specific data. Every connection should have access to its own pool of data, in a threadsafe way.
This is possible with server-side sessions, and they are available in a very neat flask plugin: https://pythonhosted.org/Flask-Session/
If you set up sessions, a session
variable is available in all your routes and it behaves like a dictionary. The data stored in this dictionary is individual for each connecting client.
Here is a short demo:
from flask import Flask, session
from flask_session import Session
app = Flask(__name__)
# Check Configuration section for more details
SESSION_TYPE = 'filesystem'
app.config.from_object(__name__)
Session(app)
@app.route('/')
def reset():
session["counter"]=0
return "counters was reset"
@app.route('/inc')
def routeA():
if not "counter" in session:
session["counter"]=0
session["counter"]+=1
return "counter is {}".format(session["counter"])
@app.route('/dec')
def routeB():
if not "counter" in session:
session["counter"] = 0
session["counter"] -= 1
return "counter is {}".format(session["counter"])
if __name__ == '__main__':
app.run()
After pip install Flask-Session
, you should be able to run this. Try accessing it from different browsers, you'll see that the counter is not shared between them.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can't use global variables to hold this sort of data. Not only is it not thread safe, it's not process safe, and WSGI servers in production spawn multiple processes. Not only would your counts be wrong if you were using threads to handle requests, they would also vary depending on which process handled the request.
Use a data source outside of Flask to hold global data. A database, memcached, or redis are all appropriate separate storage areas, depending on your needs. If you need to load and access Python data, consider multiprocessing.Manager
. You could also use the session for simple data that is per-user.
The development server may run in single thread and process. You won't see the behavior you describe since each request will be handled synchronously. Enable threads or processes and you will see it. app.run(threaded=True)
or app.run(processes=10)
. (In 1.0 the server is threaded by default.)
Some WSGI servers may support gevent or another async worker. Global variables are still not thread safe because there's still no protection against most race conditions. You can still have a scenario where one worker gets a value, yields, another modifies it, yields, then the first worker also modifies it.
If you need to store some global data during a request, you may use Flask's g
object. Another common case is some top-level object that manages database connections. The distinction for this type of "global" is that it's unique to each request, not used between requests, and there's something managing the set up and teardown of the resource.
add a comment |
You can't use global variables to hold this sort of data. Not only is it not thread safe, it's not process safe, and WSGI servers in production spawn multiple processes. Not only would your counts be wrong if you were using threads to handle requests, they would also vary depending on which process handled the request.
Use a data source outside of Flask to hold global data. A database, memcached, or redis are all appropriate separate storage areas, depending on your needs. If you need to load and access Python data, consider multiprocessing.Manager
. You could also use the session for simple data that is per-user.
The development server may run in single thread and process. You won't see the behavior you describe since each request will be handled synchronously. Enable threads or processes and you will see it. app.run(threaded=True)
or app.run(processes=10)
. (In 1.0 the server is threaded by default.)
Some WSGI servers may support gevent or another async worker. Global variables are still not thread safe because there's still no protection against most race conditions. You can still have a scenario where one worker gets a value, yields, another modifies it, yields, then the first worker also modifies it.
If you need to store some global data during a request, you may use Flask's g
object. Another common case is some top-level object that manages database connections. The distinction for this type of "global" is that it's unique to each request, not used between requests, and there's something managing the set up and teardown of the resource.
add a comment |
You can't use global variables to hold this sort of data. Not only is it not thread safe, it's not process safe, and WSGI servers in production spawn multiple processes. Not only would your counts be wrong if you were using threads to handle requests, they would also vary depending on which process handled the request.
Use a data source outside of Flask to hold global data. A database, memcached, or redis are all appropriate separate storage areas, depending on your needs. If you need to load and access Python data, consider multiprocessing.Manager
. You could also use the session for simple data that is per-user.
The development server may run in single thread and process. You won't see the behavior you describe since each request will be handled synchronously. Enable threads or processes and you will see it. app.run(threaded=True)
or app.run(processes=10)
. (In 1.0 the server is threaded by default.)
Some WSGI servers may support gevent or another async worker. Global variables are still not thread safe because there's still no protection against most race conditions. You can still have a scenario where one worker gets a value, yields, another modifies it, yields, then the first worker also modifies it.
If you need to store some global data during a request, you may use Flask's g
object. Another common case is some top-level object that manages database connections. The distinction for this type of "global" is that it's unique to each request, not used between requests, and there's something managing the set up and teardown of the resource.
You can't use global variables to hold this sort of data. Not only is it not thread safe, it's not process safe, and WSGI servers in production spawn multiple processes. Not only would your counts be wrong if you were using threads to handle requests, they would also vary depending on which process handled the request.
Use a data source outside of Flask to hold global data. A database, memcached, or redis are all appropriate separate storage areas, depending on your needs. If you need to load and access Python data, consider multiprocessing.Manager
. You could also use the session for simple data that is per-user.
The development server may run in single thread and process. You won't see the behavior you describe since each request will be handled synchronously. Enable threads or processes and you will see it. app.run(threaded=True)
or app.run(processes=10)
. (In 1.0 the server is threaded by default.)
Some WSGI servers may support gevent or another async worker. Global variables are still not thread safe because there's still no protection against most race conditions. You can still have a scenario where one worker gets a value, yields, another modifies it, yields, then the first worker also modifies it.
If you need to store some global data during a request, you may use Flask's g
object. Another common case is some top-level object that manages database connections. The distinction for this type of "global" is that it's unique to each request, not used between requests, and there's something managing the set up and teardown of the resource.
edited Aug 16 '18 at 14:09
answered Sep 28 '15 at 14:26
davidismdavidism
64.1k12167185
64.1k12167185
add a comment |
add a comment |
This is not really an answer to thread safety of globals.
But I think it is important to mention sessions here.
You are looking for a way to store client-specific data. Every connection should have access to its own pool of data, in a threadsafe way.
This is possible with server-side sessions, and they are available in a very neat flask plugin: https://pythonhosted.org/Flask-Session/
If you set up sessions, a session
variable is available in all your routes and it behaves like a dictionary. The data stored in this dictionary is individual for each connecting client.
Here is a short demo:
from flask import Flask, session
from flask_session import Session
app = Flask(__name__)
# Check Configuration section for more details
SESSION_TYPE = 'filesystem'
app.config.from_object(__name__)
Session(app)
@app.route('/')
def reset():
session["counter"]=0
return "counters was reset"
@app.route('/inc')
def routeA():
if not "counter" in session:
session["counter"]=0
session["counter"]+=1
return "counter is {}".format(session["counter"])
@app.route('/dec')
def routeB():
if not "counter" in session:
session["counter"] = 0
session["counter"] -= 1
return "counter is {}".format(session["counter"])
if __name__ == '__main__':
app.run()
After pip install Flask-Session
, you should be able to run this. Try accessing it from different browsers, you'll see that the counter is not shared between them.
add a comment |
This is not really an answer to thread safety of globals.
But I think it is important to mention sessions here.
You are looking for a way to store client-specific data. Every connection should have access to its own pool of data, in a threadsafe way.
This is possible with server-side sessions, and they are available in a very neat flask plugin: https://pythonhosted.org/Flask-Session/
If you set up sessions, a session
variable is available in all your routes and it behaves like a dictionary. The data stored in this dictionary is individual for each connecting client.
Here is a short demo:
from flask import Flask, session
from flask_session import Session
app = Flask(__name__)
# Check Configuration section for more details
SESSION_TYPE = 'filesystem'
app.config.from_object(__name__)
Session(app)
@app.route('/')
def reset():
session["counter"]=0
return "counters was reset"
@app.route('/inc')
def routeA():
if not "counter" in session:
session["counter"]=0
session["counter"]+=1
return "counter is {}".format(session["counter"])
@app.route('/dec')
def routeB():
if not "counter" in session:
session["counter"] = 0
session["counter"] -= 1
return "counter is {}".format(session["counter"])
if __name__ == '__main__':
app.run()
After pip install Flask-Session
, you should be able to run this. Try accessing it from different browsers, you'll see that the counter is not shared between them.
add a comment |
This is not really an answer to thread safety of globals.
But I think it is important to mention sessions here.
You are looking for a way to store client-specific data. Every connection should have access to its own pool of data, in a threadsafe way.
This is possible with server-side sessions, and they are available in a very neat flask plugin: https://pythonhosted.org/Flask-Session/
If you set up sessions, a session
variable is available in all your routes and it behaves like a dictionary. The data stored in this dictionary is individual for each connecting client.
Here is a short demo:
from flask import Flask, session
from flask_session import Session
app = Flask(__name__)
# Check Configuration section for more details
SESSION_TYPE = 'filesystem'
app.config.from_object(__name__)
Session(app)
@app.route('/')
def reset():
session["counter"]=0
return "counters was reset"
@app.route('/inc')
def routeA():
if not "counter" in session:
session["counter"]=0
session["counter"]+=1
return "counter is {}".format(session["counter"])
@app.route('/dec')
def routeB():
if not "counter" in session:
session["counter"] = 0
session["counter"] -= 1
return "counter is {}".format(session["counter"])
if __name__ == '__main__':
app.run()
After pip install Flask-Session
, you should be able to run this. Try accessing it from different browsers, you'll see that the counter is not shared between them.
This is not really an answer to thread safety of globals.
But I think it is important to mention sessions here.
You are looking for a way to store client-specific data. Every connection should have access to its own pool of data, in a threadsafe way.
This is possible with server-side sessions, and they are available in a very neat flask plugin: https://pythonhosted.org/Flask-Session/
If you set up sessions, a session
variable is available in all your routes and it behaves like a dictionary. The data stored in this dictionary is individual for each connecting client.
Here is a short demo:
from flask import Flask, session
from flask_session import Session
app = Flask(__name__)
# Check Configuration section for more details
SESSION_TYPE = 'filesystem'
app.config.from_object(__name__)
Session(app)
@app.route('/')
def reset():
session["counter"]=0
return "counters was reset"
@app.route('/inc')
def routeA():
if not "counter" in session:
session["counter"]=0
session["counter"]+=1
return "counter is {}".format(session["counter"])
@app.route('/dec')
def routeB():
if not "counter" in session:
session["counter"] = 0
session["counter"] -= 1
return "counter is {}".format(session["counter"])
if __name__ == '__main__':
app.run()
After pip install Flask-Session
, you should be able to run this. Try accessing it from different browsers, you'll see that the counter is not shared between them.
answered Nov 5 '18 at 10:21
lhklhk
6,951105691
6,951105691
add a comment |
add a comment |
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