From: | Khushboo Vashi <khushboo(dot)vashi(at)enterprisedb(dot)com> |
---|---|
To: | Dave Page <dpage(at)pgadmin(dot)org> |
Cc: | pgadmin-hackers <pgadmin-hackers(at)postgresql(dot)org> |
Subject: | Re: Async queries pretending to be synchronous |
Date: | 2019-03-05 06:36:00 |
Message-ID: | CAFOhELcA32zoNmhCh6AhEx+XvAguSiNytdh=fWXmZWVotrEV8g@mail.gmail.com |
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Thread: | |
Lists: | pgadmin-hackers |
On Mon, Mar 4, 2019 at 4:05 PM Khushboo Vashi <
khushboo(dot)vashi(at)enterprisedb(dot)com> wrote:
>
>
> On Mon, Mar 4, 2019 at 4:00 PM Dave Page <dpage(at)pgadmin(dot)org> wrote:
>
>>
>>
>> On Mon, Mar 4, 2019 at 10:18 AM Khushboo Vashi <
>> khushboo(dot)vashi(at)enterprisedb(dot)com> wrote:
>>
>>>
>>>
>>> On Mon, Mar 4, 2019 at 3:43 PM Dave Page <dpage(at)pgadmin(dot)org> wrote:
>>>
>>>> Hi
>>>>
>>>> On Mon, Mar 4, 2019 at 5:43 AM Khushboo Vashi <
>>>> khushboo(dot)vashi(at)enterprisedb(dot)com> wrote:
>>>>
>>>>>
>>>>>
>>>>> On Fri, Mar 1, 2019 at 10:01 PM Dave Page <dpage(at)pgadmin(dot)org> wrote:
>>>>>
>>>>>> In investigating #3656 I found the initial problem to be that when
>>>>>> running in a container, Gunicorn will kill the worker process if a thread
>>>>>> doesn't respond for 30 seconds by default. I fixed that by making the
>>>>>> timeout match the application session timeout, but it revealed another
>>>>>> issue.
>>>>>>
>>>>>> Given the function below (from the ticket), if you open the query
>>>>>> tool and run:
>>>>>>
>>>>>> SELECT 1; SELECT fails_after(30);
>>>>>>
>>>>>> the async query actually blocks for 30 seconds in the cur.execute()
>>>>>> call in execute_async() in connection.py (line 968). This causes the entire
>>>>>> app to hang (watch the dashboard requests pile up in pending state in the
>>>>>> network tab of the browser dev tools).
>>>>>>
>>>>>> If you run just the second SELECT, it works as expected, as does
>>>>>> running something like:
>>>>>>
>>>>>> SELECT 1; SELECT pg_sleep(30);
>>>>>>
>>>>>> Anyone have any idea what's going on?
>>>>>>
>>>>>
>>>>> Connection.poll() blocking the call here. ( connection.py - _wait_timeout
>>>>> function line #1378 state = conn.poll() )
>>>>> In the asynchronous connection, after executing the query, the
>>>>> conn.poll() is being called to fetch the connection status.
>>>>> It gives the status accordingly but in this case, it is blocking and
>>>>> not giving the status.
>>>>>
>>>>
>>>> If I put a breakpoint on the _wait_timeout call (line 969 in
>>>> execute_async), it hits it *after* the 30 seconds has passed (during which
>>>> time all other queries for cancel or dashboards and status etc don't get
>>>> processed).
>>>>
>>>> Put the breakpoint in the _wait_timeout function itself. The line no
>>> 1378 (state = conn.poll()) is blocking the execution 30 seconds.
>>>
>>>> If I walk down the call stack, it returns from the _cursor.execute call
>>>> in cursor.py and then hangs right before it goes into _wait_timeout.
>>>>
>>>
>> Hmm, yeah - my debugger is doing some weird off-by-one thing. If I put
>> the break point on the while 1, it blocks there! If I put it on the poll()
>> call, then it does do as you describe.
>>
> It's a psycopg2 call, it should return the specific status but it doesn't,
> so right now I am digging the Psycopg2 code.
>
If I remove RAISE statements and then execute SELECT 1; SELECT
fails_after(30); it works as expected.
As per the documentation, (Ref:
http://initd.org/psycopg/docs/connection.html)
Connection.poll returns one of the constants defined in Poll constants
<http://initd.org/psycopg/docs/extensions.html#poll-constants>. If it
returns POLL_OK
<http://initd.org/psycopg/docs/extensions.html#psycopg2.extensions.POLL_OK>
then
the connection has been established or the query results are available on
the client. Otherwise wait until the file descriptor returned by fileno()
<http://initd.org/psycopg/docs/connection.html#connection.fileno> is ready
to read or to write.
So, in case of Raise no file descriptor to read or write, and so before
raising the notice, It will block the connection till the pg_sleep
completes.
>
>> So, any idea why it's blocking, before I spend more time digging in?
>>
>> Thanks!
>>
>> --
>> Dave Page
>> Blog: http://pgsnake.blogspot.com
>> Twitter: @pgsnake
>>
>> EnterpriseDB UK: http://www.enterprisedb.com
>> The Enterprise PostgreSQL Company
>>
>
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