db-scheduler
JobRunr
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db-scheduler | JobRunr | |
---|---|---|
6 | 7 | |
1,115 | 2,149 | |
- | 3.5% | |
6.7 | 9.3 | |
8 days ago | 3 days ago | |
Java | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
db-scheduler
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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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JobRunr: A library for background processing in Java
db-scheduler is also worth checking out: https://github.com/kagkarlsson/db-scheduler
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Migrating quartz to jobrunr
I've been using db-scheduler in a Spring Boot project and am very happy with it.
- Suggestions for a distributed job queue lib?
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Concurrent cron jobs?
You might like https://github.com/kagkarlsson/db-scheduler as a simpler alternative for Quartz. It supports JDBC-able databases as backend but also allows your own implementations for task repository.
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Cluster friendly task scheduler for NodeJS
Hi everyone. I’m looking for a cluster-friendly task scheduler for NodeJS, something similar to https://github.com/kagkarlsson/db-scheduler for Java. Been surprisingly difficult to find one. So far Agenda is the only one that comes close, however I’d like to avoid MongoDB/Redis as the persistence layer if possible. Any recommendations?
JobRunr
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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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Scheduling a job in Spring Boot
You can also take a look at https://www.jobrunr.io/en/
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JobRunr: A library for background processing in Java
Hi all, I'm Ronald - the creator of JobRunr.
First of all, thanks to @mooreds to post JobRunr on HackerNews.
Second of all - I read some claims that being in the 'job scheduling' business is easy money. I would like to point out that's not really the case.
With JobRunr being open-source and more successful than I ever could imagine, this brings along a lot of stress. If you make a mistake (which I did in V6) the whole world starts to see it. I also try to keep the amount of open issues really small as these things linger in my head and also give me stress.
Anyway, this to say that I'm now able to provide my family with food but I'm still not break even (meaning if I just had freelanced as before, I would have more money in my bank account).
But, I can now work on something I love.
P.s.: it's indeed LGPL but this is also the case for hibernate. It means you should only open-source if you're touching part of the JobRunr code, not if you just use the lib.
See also https://github.com/jobrunr/jobrunr/discussions/769.
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Lightweight background job runner framework?
Is there a lightweight background job runner framework in Scala? Something that's backed by a database so the jobs are durable? I found jobrunr which seems like a great framework, but it's Java and doesn't have an async API (i.e. each job is assumed to be blocking and runs on its own thread).
- Is Quartz abandoned?
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JobRunr VS PowerJob - a user suggested alternative
2 projects | 21 Dec 2021
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A batch of tasks to be executed periodically
JobRunr looks interesting, perhaps it can useful to you: https://github.com/jobrunr/jobrunr
What are some alternatives?
shedlock - Distributed lock for your scheduled tasks
Wisp - A simple Java Scheduler library with a minimal footprint and a straightforward API
Quartz - Code for Quartz Scheduler
easy-batch - The simple, stupid batch framework for Java
PowerJob - Enterprise job scheduling middleware with distributed computing ability.
quartz4s - Quarts scheduler library based on cats-effect
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
incubator-dolphinscheduler - Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code