From what I can see Gearman does not support scheduled jobs or delayed jobs. I was thinking that perhaps the scheduled job could be queued in at first and then added to the Gearman queue after the at time period has expired.
at tasks are persistent as they are written as files to a directory in the spool directory of the server. So the only bottle neck would potentially be a simple script to add the task to the Gearman queue because at can't be distributed across servers. Passing it to Gearman to process the actual job means I can get proper job logging etc.
Is this the best way to approach this and do you have any alternative ideas?
The reason I have opted for Gearman over other queue solutions is that it has a PHP extension.
The code I am writing is used to maintain a queue of emails that need to be sent out. So I may specify that I want to send an email to example#example.org at 9.50 on Friday for example.
I have decided to go the at route as originally laid out in my question. For the purpose I have written a little PHP wrapper for the at binary and tested it on Ubuntu. If you are interested it can be found on github: http://github.com/treffynnon/PHP-at-Job-Queue-Wrapper
A rather hacky solution, which would only work well at hourly or daily resolution would be to make the job (function) name contain the date at which you wanted it sent. Then have workers starting in cron every hour or day to register for those jobs.
For example, if you wanted to send an email at 9AM on Monday March 12th 2012, add a job to the queue with a name like email_2012-03-12_09:00. Then have a cron job running hourly, which runs a worker who registers for any jobs matching email_ + current date and hour.
As I say, probably workable, but rather hacky!
UPDATE 1: I saw recently that the docs for gearmand database persistence now mention a field named when_to_run which is an INT, and could potentially hold a unix epoch timestamp. This field doesn't seem to be referenced in the code yet.
If you are using Zend...
SlmQueue is a job queue abstraction layer. It allows you to easily use job queue systems in a Zend Framework 2 application. Thereby it does not enforce you to specifically use one type of job queue. You can write your code and jobs independent of the underlying system. This enables great flexibility and decoupling of the systems.
https://github.com/juriansluiman/SlmQueue
Related
Would appreciate some help understanding typical best practices in carrying out a series of tasks using Gearman in conjunction with PHP (among other things).
Here is the basic scenario:
A user uploads a set of image files through a web-based interface. The php code responding to the POST request generates an entry in a database for each file, mostly with null entries in the columns, queues a job for each to do analysis using Gearman, generates a status page and exits.
The Gearman worker gets a job for a file and starts a relatively long-running analysis. The result of that analysis is a set of parameters that need to be inserted back into the database record for that file.
My question is, what is the generally accepted method of doing this? Should I use a callback that will ultimately kick off a different php script that is going to do the modification, or should the worker function itself do the database modification?
Everything is currently running on the same machine; I'm planning on using Gearman for background scheduling, rather than for scaling by farming out to different machines, but in any case any of the functions could connect to the database wherever it is.
Any thoughts appreciated; just looking for some insights on how this typically gets structured and what might be considered best practice.
Are you sure you want to use Gearman? I only ask because it was the defacto PHP job server about 15 years ago but hasn't been a reliable solution for quite some time. I am not sure if things have drastically improved in the last 12 months, but last time I evaluated Gearman, it wasn't production capable.
Now, on to the questions.
what is the generally accepted method of doing this? Should I use a callback that will ultimately kick off a different php script that is going to do the modification, or should the worker function itself do the database modification?
You are going to follow this general pattern with any job queue:
Collect a unit of work. In your case, it will be 1 of the images and any information about who that image belongs to, user id, etc.
Submit the work to the job queue with this information.
Job Queue's worker process picks up the work, and starts processing it. This is where I would create records in the database as you can opt to not create them on job failure.
The job queue is going to track which jobs have completed and usually the status of completion. If you are using gearman, this is the gearmand process. You also need something pickup work and process that work, I will refer to this as the job worker. The job worker is where the concurrency happens which is what i think you were referring to when you said "kick off a different php script." You can just kick off a PHP script at an interval (with supervisord or a cronjob) for a kind of poll & fork approach. It's not the most efficient approach, but it doesn't sound like it will really matter for your applications use case. You could also use pcntl_fork or pthreads in PHP to get more control over your concurrent processes and implement a worker pool pattern, but it is much more complicated than just firing off a script. If you are interested in trying to implement some concurrency in PHP, I have a proof-of-concept job worker for beanstalkd available on GitHub that implements a worker pool with both fork and pthreads. I have also include a couple of other resources on the subject of concurrency.
Job Worker (pthreads)
Job Worker (fork)
PHP Daemon Example
PHP IPC Example
I'm writing a web app in PHP + Laravel + MySQL.
In the system, a user can schedule emails (and other API calls) at arbitrary times (much like how you schedule posts in WordPress). I can use CRON to inspect the database every 5min or so to find emails that should be sent, send them, and update their status.
However, this is a SaaS app. So the amount of emails to be sent at a particular time can grow rapidly. I can create a "lock file" every time the CRON script runs so that only one instance of it is running at a time. The lock file will be deleted after a script finishes execution.
But with potentially large data, I would want a way to process multiple messages simultaneously, potentially using multiple "workers." Is there any existing solution manage such a queue?
Yes! Task/Message/Job queues are what you are looking for! They allow you to put various tasks in queues from which you can retrieve them and process them, this process can scale horizontally as each worker can pull a task once its finished with the previous one.
You should have the cron maybe every minute/two minutes that just uploads the task and what needs to be done. This will make sure the cron is very quick.
Take a look at Iron.io Here is an extract from the website which gives a nice overview of these kinds of systems:
An easy-to-use scalable task queue that gives cloud developers a
simple way to offload front-end tasks, run scheduled jobs, and process
tasks in the background and at scale.
Gearman is also a great solution that you can use yourself and is very simple. You can send the message in many different languages and use a different langauge to process it. Say PHP -> C etc...
The Wikipedia link will tell you everything you need to know, here is a quick excerpt:
Message queues provide an asynchronous communications protocol,
meaning that the sender and receiver of the message do not need to
interact with the message queue at the same time. Messages placed onto
the queue are stored until the recipient retrieves them.
I am creating a scheduler using PHP/MySQL where I have to allow the use to select date and time for publishing the content. The requirement is, the content should get posted at the exact scheduled time. If I create cron job, the notifications won't go out at exact time.
Running a cron job every minute is not really feasible in my case since I have to publish using an API and that itself is time consuming.
Is there any other way I can implement to make sure that the exact time provided in scheduler is followed. One of the best example that does this is Google Calendar which sends the reminders at the time you ask for.
Aditya
You should consider creating a daemon. The PEAR System_Daemon would be a great starting point. The daemon should essentially be a loop that queries the database, posts the content if necessary and sleeps.
Some sections of their documentation you might be interested in:
What is Daemon
Daemons vs Cronjobs
Installation
Example
YOU SHOULD CREATE CRONE JOB TO ACCOMPLISH THIS.
I am using MYSQL as my database and PHP as my programming language.I wanted to run a cron job which would run until the current system date matches the "deadline(date)" column in my database table called "PROJECT".Once the dates are same an update query has to run which would change the status(field of project table) from "open" to "close".
I am not really sure if cron jobs are the best way or I could use triggers or may be something else.Also I am using Apache as my web server and my OS is windows vista.
Also which is the best way to do it? PHP scheduler or cron jobs or any other method? can anybody enlighten me?
I think your concept needs to change.
PHP cannot schedule a job, neither can MySQL. Triggers in MySQL execute when a mysql query occurs, not at a specific time. Neither
This limitation usually isn't a problem in web development. The reason is because your PHP application should control all data going in and out. Usually, this means just the HTML that displays that data, or other formats to users, or other programs.
In your case you can think about it this way. The deadline is a set date. You can treat it as data, and save it to your database. When the deadline occurs is not important, it is that the data you have sent in your database is viewed correctly.
When a request is made to your application, check if the date of the deadline is in the past, if it is, then display that the project is closed - or update that the project is closed, just before display.
There really is no reason to update data independantly of your PHP application.
Usually, the only things you want to schedule are jobs that would affect your application in terms of load, or that need to be done only once, or where concurrency or time is an issue.
In your case none of those apply.
PS: I haven't tried PHPscheduler but I can guess it isn't a true scheduler. Cron is a deamon that sleeps until a given task is due in its queue, executes the task, then sleeps till the next one is due (at least thats what it does in the current algorithm). PHP cannot do that without the sockets and fork extensions, as special setup. So PHPscheduler is most likely just checking if a date for a task has expired, on each load of a webpage (whenever PHP executes a page). This is no different then you just checking if the date on the project has expired, without the overhead of PHPScheduler.
I would always go for a cron job for anything scheduling related.
The big bonus point is that you can echo info out as well and it get's emailed to you.
You'll find once you start using cronjobs, it's hard to stop.
cron does not exist, per se, in vista, but what does exist is the standard windows scheduling manager which you can run with a command line like "php -q -f myfile.php" which will execute the php file at the given time.
you can also use a port of the cron program, there are many out there.
if it is not critical to the second, any windows scheduling application will do, just be sure to have you PHP bin path in your PATH variable for simplicity.
For Windows CRON jobs I cannot recommend PyCron enough.
While CRON and Windows Scheduled Tasks are the tried and true ways of scheduling jobs/tasks to run on a regular basis, there are use cases where having a different scheduled task in CRON/Windows can become tedious. Namely when you want to let users schedule things to run, or for instances where you prefer simplicity/maintainability/portability/etc or all of the above.
In cases where I prefer to not use CRON/Windows for scheduled tasks, I build into the application a task scheduling system. This still requires 1 CRON job or Windows Task to be scheduled. The idea is to store Job details in the database (job name, job properties, last run time, run interval, anything else that is important for your implementation). You then schedule a "Master" job in CRON or Windows which handles running all of your other jobs for you. You'll need this master job to run at least as often as your shortest interval; if you want to be able to schedule jobs that run every minute the master job needs to run every minute.
You can then launch each scheduled job in the background from PHP with minimal effort (if you want). In memory constrained systems you can monitor memory usage or keep track of the PIDs (various methods) and limit to N jobs running at a given time.
I've had a great deal of success with this method, YMMV however based on your needs and your implementation.
how about PHPscheduler..R they not better than cronjobs? I think crons would be independent of the application hence would be difficult if one has to change the host..i am not really sure though..It would be great if anyone can comment on this!! Thanks!
I've a problem which is giving me some hard time trying to figure it out the ideal solution and, to better explain it, I'm going to expose my scenario here.
I've a server that will receive orders
from several clients. Each client will
submit a set of recurring tasks that
should be executed at some specified
intervals, eg.: client A submits task
AA that should be executed every
minute between 2009-12-31 and
2010-12-31; so if my math is right
that's about 525 600 operations in a
year, given more clients and tasks
it would be infeasible to let the server process all these tasks so I
came up with the idea of worker
machines. The server will be developed
on PHP.
Worker machines are just regular cheap
Windows-based computers that I'll
host on my home or at my workplace,
each worker will have a dedicated
Internet connection (with dynamic IPs)
and a UPS to avoid power outages. Each
worker will also query the server every
30 seconds or so via web service calls,
fetch the next pending job and process it.
Once the job is completed the worker will
submit the output to the server and request
a new job and so on ad infinitum. If
there is a need to scale the system I
should just set up a new worker and the
whole thing should run seamlessly.
The worker client will be developed
in PHP or Python.
At any given time my clients should be
able to log on to the server and check
the status of the tasks they ordered.
Now here is where the tricky part kicks in:
I must be able to reconstruct the
already processed tasks if for some
reason the server goes down.
The workers are not client-specific,
one worker should process jobs for
any given number of clients.
I've some doubts regarding the general database design and which technologies to use.
Originally I thought of using several SQLite databases and joining them all on the server but I can't figure out how I would group by clients to generate the job reports.
I've never actually worked with any of the following technologies: memcached, CouchDB, Hadoop and all the like, but I would like to know if any of these is suitable for my problem, and if yes which do you recommend for a newbie is "distributed computing" (or is this parallel?) like me. Please keep in mind that the workers have dynamic IPs.
Like I said before I'm also having trouble with the general database design, partly because I still haven't chosen any particular R(D)DBMS but one issue that I've and I think it's agnostic to the DBMS I choose is related to the queuing system... Should I precalculate all the absolute timestamps to a specific job and have a large set of timestamps, execute and flag them as complete in ascending order or should I have a more clever system like "when timestamp modulus 60 == 0 -> execute". The problem with this "clever" system is that some jobs will not be executed in order they should be because some workers could be waiting doing nothing while others are overloaded. What do you suggest?
PS: I'm not sure if the title and tags of this question properly reflect my problem and what I'm trying to do; if not please edit accordingly.
Thanks for your input!
#timdev:
The input will be a very small JSON encoded string, the output will also be a JSON enconded string but a bit larger (in the order of 1-5 KB).
The output will be computed using several available resources from the Web so the main bottleneck will probably be the bandwidth. Database writes may also be one - depending on the R(D)DBMS.
It looks like you're on the verge of recreating Gearman. Here's the introduction for Gearman:
Gearman provides a generic application
framework to farm out work to other
machines or processes that are better
suited to do the work. It allows you
to do work in parallel, to load
balance processing, and to call
functions between languages. It can be
used in a variety of applications,
from high-availability web sites to
the transport of database replication
events. In other words, it is the
nervous system for how distributed
processing communicates.
You can write both your client and the back-end worker code in PHP.
Re your question about a Gearman Server compiled for Windows: I don't think it's available in a neat package pre-built for Windows. Gearman is still a fairly young project and they may not have matured to the point of producing ready-to-run distributions for Windows.
Sun/MySQL employees Eric Day and Brian Aker gave a tutorial for Gearman at OSCON in July 2009, but their slides mention only Linux packages.
Here's a link to the Perl CPAN Testers project, that indicates that Gearman-Server can be built on Win32 using the Microsoft C compiler (cl.exe), and it passes tests: http://www.nntp.perl.org/group/perl.cpan.testers/2009/10/msg5521569.html But I'd guess you have to download source code and build it yourself.
Gearman seems like the perfect candidate for this scenario, you might even want to virtualize you windows machines to multiple worker nodes per machine depending on how much computing power you need.
Also the persistent queue system in gearman prevents jobs getting lost when a worker or the gearman server crashes. After a service restart the queue just continues where it has left off before crash/reboot, you don't have to take care of all this in your application and that is a big advantage and saves alot of time/code
Working out a custom solution might work but the advantages of gearman especially the persistent queue seem to me that this might very well be the best solution for you at the moment. I don't know about a windows binary for gearman though but i think it should be possible.
A simpler solution would be to have a single database with multiple php-nodes connected. If you use a proper RDBMS (MSql + InnoDB will do), you can have one table act as a queue. Each worker will then pull tasks from that to work on and write it back into the database upon completion, using transactions and locking to synchronise. This depends a bit on the size of input/output data. If it's large, this may not be the best scheme.
I would avoid sqlite for this sort of task, although it is a very wonderful database for small apps, it does not handle concurrency very well, it has only one locking strategey which is to lock the entire database and keep it locked until a sinlge transaction is complete.
Consider Postgres which has industrial strength concurrency and lock management and can handle multiple simultanious transactions very nicely.
Also this sounds like a job for queuing! If you were in hte Java world I would recommend a JMS based archictecture for your solution. There is a 'dropr' project to do something similar in php but its all fairly new so it might not be suitable for your project.
Whichever technoligy you use you should go for a "free market" solution where the worker threads consume available "jobs" as fast as they can, rather than a "command economy" where a central process allocates tasks to choosen workers.
The setup of a master server and several workers looks right in your case.
On the master server I would install MySQL (Percona InnoDB version is stable and fast) in master-master replication so you won't have a single point of failure.
The master server will host an API which the workers will pull at every N seconds. The master will check if there is a job available, if so it has to flag that the job has been assigned to the worker X and return the appropriate input to the worker (all of this via HTTP).
Also, here you can store all the script files of the workers.
On the workers, I would strongly suggest you to install a Linux distro. On Linux it's easier to set up scheduled tasks and in general I think it's more appropriate for the job.
With Linux you can even create a live cd or iso image with a perfectly configured worker and install it fast and easy on all the machines you want.
Then set up a cron job that will RSync with the master server to update/modify the scripts. In this way you will change the files in just one place (the master server) and all the workers will get the updates.
In this configuration you don't care of the IPs or the number of workers because the workers are connecting to the master, not vice-versa.
The worker job is pretty easy: ask the API for a job, do it, send back the result via API. Rinse and repeat :-)
Rather than re-inventing the queuing wheel via SQL, you could use a messaging system like RabbitMQ or ActiveMQ as the core of your system. Each of these systems provides the AMQP protocol and has hard-disk backed queues. On the server you have one application that pushes new jobs into a "worker" queue according to your schedule and another that writes results from a "result" queue into the database (or acts on it some other way).
All the workers connect to RabbitMQ or ActiveMQ. They pop the work off the work queue, do the job and put the response into another queue. After they have done that, they ACK the original job request to say "its done". If a worker drops its connection, the job will be restored to the queue so another worker can do it.
Everything other than the queues (job descriptions, client details, completed work) can be stored in the database. But anything realtime should be put somewhere else. In my own work I'm streaming live power usage data and having many people hitting the database to poll it is a bad idea. I've written about live data in my system.
I think you're going in the right direction with a master job distributor and workers. I would have them communicate via HTTP.
I would choose C, C++, or Java to be clients, as they have capabilities to run scripts (execvp in C, System.Desktop.something in Java). Jobs could just be the name of a script and arguments to that script. You can have the clients return a status on the jobs. If the jobs failed, you could retry them. You can have the clients poll for jobs every minute (or every x seconds and make the server sort out the jobs)
PHP would work for the server.
MySQL would work fine for the database. I would just make two timestamps: start and end. On the server, I would look for WHEN SECONDS==0