I have a typical producer-consumer problem:
Multiple producer applications write job requests to a job-table on a PostgreSQL database.
The job requests have a state field that starts contains QUEUED on creation.
There are multiple consumer applications that are notified by a rule when a producer inserts a new record:
CREATE OR REPLACE RULE "jobrecord.added" AS
ON INSERT TO jobrecord DO
NOTIFY "jobrecordAdded";
They will try to reserve a new record by setting its state to RESERVED. Of course, only on consumer should succeed. All other consumers should not be able to reserve the same record. They should instead reserve other records with state=QUEUED.
Example: some producer added the following records to table jobrecord:
id state owner payload
------------------------
1 QUEUED null <data>
2 QUEUED null <data>
3 QUEUED null <data>
4 QUEUED null <data>
now, two consumers A, B want to process them. They start running at the same time. One should reserve id 1, the other one should reserve id 2, then the first one who finishes should reserve id 3 and so on..
In a pure multithreaded world, I would use a mutex to control access to the job queue, but the consumers are different processes that may run on different machines. They only access the same database, so all synchronization must happen through the database.
I read a lot of documentation about concurrent access and locking in PostgreSQL, e.g. http://www.postgresql.org/docs/9.0/interactive/explicit-locking.html Select unlocked row in Postgresql PostgreSQL and locking
From these topics, I learned, that the following SQL statement should do what I need:
UPDATE jobrecord
SET owner= :owner, state = :reserved
WHERE id = (
SELECT id from jobrecord WHERE state = :queued
ORDER BY id LIMIT 1
)
RETURNING id; // will only return an id when they reserved it successfully
Unfortunately, when I run this in multiple consumer processes, in about 50% of the time, they still reserve the same record, both processing it and one overwriting the changes of the other.
What am I missing? How do I have to write the SQL statement so that multiple consumers will not reserve the same record?
Read my post here:
Consistency in postgresql with locking and select for update
If you use transaction and LOCK TABLE you will have no problems.
I use postgres for a FIFO queue as well. I originally used ACCESS EXCLUSIVE, which yields correct results in high concurrency, but has the unfortunate effect of being mutually exclusive with pg_dump, which acquires a ACCESS SHARE lock during its execution. This causes my next() function to lock for a very long time (the duration of the pg_dump). This was not acceptable since we are a 24x7 shop and customers didn't like the dead time on the queue in the middle of the night.
I figured there must be a less-restrictive lock which would still be concurrent-safe and not lock while pg_dump is running. My search led me to this SO post.
Then I did some research.
The following modes are sufficient for a FIFO queue NEXT() function which will update the status of a job from queued to running without any concurrency fail, and also not block against pg_dump:
SHARE UPDATE EXCLUSIVE
SHARE ROW EXCLUSIVE
EXCLUSIVE
Query:
begin;
lock table tx_test_queue in exclusive mode;
update
tx_test_queue
set
status='running'
where
job_id in (
select
job_id
from
tx_test_queue
where
status='queued'
order by
job_id asc
limit 1
)
returning job_id;
commit;
Result looks like:
UPDATE 1
job_id
--------
98
(1 row)
Here is a shell script which tests all of the different lock mode at high concurrency (30).
#!/bin/bash
# RESULTS, feel free to repro yourself
#
# noLock FAIL
# accessShare FAIL
# rowShare FAIL
# rowExclusive FAIL
# shareUpdateExclusive SUCCESS
# share FAIL+DEADLOCKS
# shareRowExclusive SUCCESS
# exclusive SUCCESS
# accessExclusive SUCCESS, but LOCKS against pg_dump
#config
strategy="exclusive"
db=postgres
dbuser=postgres
queuecount=100
concurrency=30
# code
psql84 -t -U $dbuser $db -c "create table tx_test_queue (job_id serial, status text);"
# empty queue
psql84 -t -U $dbuser $db -c "truncate tx_test_queue;";
echo "Simulating 10 second pg_dump with ACCESS SHARE"
psql84 -t -U $dbuser $db -c "lock table tx_test_queue in ACCESS SHARE mode; select pg_sleep(10); select 'pg_dump finished...'" &
echo "Starting workers..."
# queue $queuecount items
seq $queuecount | xargs -n 1 -P $concurrency -I {} psql84 -q -U $dbuser $db -c "insert into tx_test_queue (status) values ('queued');"
#psql84 -t -U $dbuser $db -c "select * from tx_test_queue order by job_id;"
# process $queuecount w/concurrency of $concurrency
case $strategy in
"noLock") strategySql="update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"accessShare") strategySql="lock table tx_test_queue in ACCESS SHARE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"rowShare") strategySql="lock table tx_test_queue in ROW SHARE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"rowExclusive") strategySql="lock table tx_test_queue in ROW EXCLUSIVE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"shareUpdateExclusive") strategySql="lock table tx_test_queue in SHARE UPDATE EXCLUSIVE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"share") strategySql="lock table tx_test_queue in SHARE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"shareRowExclusive") strategySql="lock table tx_test_queue in SHARE ROW EXCLUSIVE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"exclusive") strategySql="lock table tx_test_queue in EXCLUSIVE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
"accessExclusive") strategySql="lock table tx_test_queue in ACCESS EXCLUSIVE mode; update tx_test_queue set status='running{}' where job_id in (select job_id from tx_test_queue where status='queued' order by job_id asc limit 1);";;
*) echo "Unknown strategy $strategy";;
esac
echo $strategySql
seq $queuecount | xargs -n 1 -P $concurrency -I {} psql84 -U $dbuser $db -c "$strategySql"
#psql84 -t -U $dbuser $db -c "select * from tx_test_queue order by job_id;"
psql84 -U $dbuser $db -c "select count(distinct(status)) as should_output_100 from tx_test_queue;"
psql84 -t -U $dbuser $db -c "drop table tx_test_queue;";
Code is here as well if you want to edit: https://gist.github.com/1083936
I am updating my application to use the EXCLUSIVE mode since it's the most restrictive mode that a) is correct and b) doesn't conflict with pg_dump. I chose the most restrictive since it seems the least risky in terms of changing the app from ACCESS EXCLUSIVE without being an uber-expert in postgres locking.
I feel pretty comfortable with my test rig and with the general ideas behind the answer. I hope that sharing this helps solve this problem for others.
No need to do a whole table lock for this :\.
A row lock created with for update works just fine.
See https://gist.github.com/mackross/a49b72ad8d24f7cefc32 for the change I made to apinstein's answer and verified that it still works.
Final code is
update
tx_test_queue
set
status='running'
where
job_id in (
select
job_id
from
tx_test_queue
where
status='queued'
order by
job_id asc
limit 1 for update
)
returning job_id;
what about just select?
SELECT * FROM table WHERE status = 'QUEUED' LIMIT 10 FOR UPDATE SKIP LOCKED;
https://www.postgresql.org/docs/9.5/static/sql-select.html#SQL-FOR-UPDATE-SHARE
You might want to look at how queue_classic does it. https://github.com/ryandotsmith/queue_classic
The code is pretty short and easy to understand.
Okay, here is the solution that is working for me, based on the link from jordani. As some of my problems were in the way Qt-SQL works, I've included the Qt code:
QSqlDatabase db = GetDatabase();
db.transaction();
QSqlQuery lockQuery(db);
bool lockResult = lockQuery.exec("LOCK TABLE serverjobrecord IN ACCESS EXCLUSIVE MODE; ");
QSqlQuery query(db);
query.prepare(
"UPDATE jobrecord "
" SET \"owner\"= :owner, state = :reserved "
" WHERE id = ( "
" SELECT id from jobrecord WHERE state = :queued ORDER BY id LIMIT 1 "
" ) RETURNING id;"
);
query.bindValue(":owner", pid);
query.bindValue(":reserved", JobRESERVED);
query.bindValue(":queued", JobQUEUED);
bool result = query.exec();
To check, if multiple consumers process the same job, I added a rule and a log-table:
CREATE TABLE serverjobrecord_log
(
serverjobrecord_id integer,
oldowner text,
newowner text
) WITH ( OIDS=FALSE );
CREATE OR REPLACE RULE ownerrule AS ON UPDATE TO jobrecord
WHERE old.owner IS NOT NULL AND new.state = 1
DO INSERT INTO jobrecord_log (id, oldowner, newowner)
VALUES (new.id, old.owner, new.owner);
Without the LOCK TABLE serverjobrecord IN ACCESS EXCLUSIVE MODE; statement, the log-table fills occasionaly with entries, were one consumers has overwritten the values of another, but using the LOCK statement, the log-table remains empty :-)
Check out PgQ instead of reinventing the wheel.
来源：https://stackoverflow.com/questions/6507475/job-queue-as-sql-table-with-multiple-consumers-postgresql