Quartz
flask-apscheduler
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Quartz | flask-apscheduler | |
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18 | 7 | |
6,031 | 1,089 | |
0.9% | - | |
3.6 | 5.4 | |
1 day ago | 5 months ago | |
Java | Python | |
Apache License 2.0 | Apache License 2.0 |
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Quartz
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Open source Job Scheduler Library in java for high throughput
In java we have found Quartz( Quartz) , Job Runr(Jobrunr) and db-scheduler(db-scheduler) and need to evaluate these for our use case.
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what technologies are people using for job scheduling in/with k8s?
Im mit sit what you mean by "not supported", you sure can run MongoDB on Kubernetes. Maybe I'm way off, are you saying that you can't use Quartz (this one: http://www.quartz-scheduler.org/ ?) because it doesn't natively allow you to load from MongoDB and.therefor you can't use it?
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FF4J – Feature Flags for Java
Uh this class is even worse, SDF is not a thread safe date formatter, so it never should be `final static`. `releaseDate` and `new Date()` will be ignorant of summer/winter time changes. For such scheduling one should use Quartz https://www.quartz-scheduler.org/
- Suggestions for a distributed job queue lib?
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Lightweight background job runner framework?
Long time I used http://www.quartz-scheduler.org which worked nicely, I wonder why Scala does not seem to have something standard for this.
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Distributed job scheduling with Go?
If you end up needing to build one. Check out this long running and well respective java project for ideas: https://github.com/quartz-scheduler/quartz
- Weekly email reminders - what is the best way to do them in .NET?
- Add Dynamically Job Scheduling
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Keeping Legacy Software Alive at Riot Games
http://www.quartz-scheduler.org/ - java
flask-apscheduler
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Loading large amount of data - when is best?
I had to use it because I setup scheduled tasks in my init.py. Flask APScheduler
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Handling Refresh Tokens in the OAuth 2.0 Authorization Code Flow with PKCE with Flask
Hopefully, this can be a starting point for you to get started with generating refresh tokens. As a next step, if you are using Flask you may want to consider using a schedular to update your refresh tokens regularly in an automated fashion. Additionally you may want to consider saving your tokens to a database in a secure fashion. This code sample can also be extended to allow you to connect to any of the endpoints that support v2 and can be deployed to a server as part of a more complete application.
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Add Dynamically Job Scheduling
Any framework to add dynamically job scheduling like cron ? I find https://github.com/viniciuschiele/flask-apscheduler . Anything else like this?
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Wondering if I should use Celery vs threads for what I want to do
Flask-APSScheduler would work well for this.
What are some alternatives?
JobRunr - An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
rq-dashboard - Flask-based web front-end for monitoring RQ queues
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
Google Web Toolkit - GWT Open Source Project
flower - Real-time monitor and web admin for Celery distributed task queue
django-apscheduler - APScheduler for Django
Apache Ant - Apache Ant is a Java-based build tool.
cglib - cglib - Byte Code Generation Library is high level API to generate and transform Java byte code. It is used by AOP, testing, data access frameworks to generate dynamic proxy objects and intercept field access.
Dkron - Dkron - Distributed, fault tolerant job scheduling system https://dkron.io
redis-cron - A cron library for go, support redis to execute only one same job in multi instances.
Flask-RQ2 - A Flask extension for RQ.
Cronos - Fully-featured .NET library for working with Cron expressions. Built with time zones in mind and intuitively handles daylight saving time transitions