jobTree-mesos | Mesos jobTree : a reimplemenation for jobTree for Mesos | Job Orchestrator library

by kellrott Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | jobTree-mesos Summary

jobTree-mesos is a Python library typically used in Data Processing, Job Orchestrator applications. jobTree-mesos has no bugs, it has no vulnerabilities and it has low support. However jobTree-mesos build file is not available. You can download it from GitHub.

Mesos jobTree: a reimplemenation for jobTree for Mesos. Original jobTree project:

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Quality

Security

License

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Support

jobTree-mesos has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

jobTree-mesos has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jobTree-mesos is current.

Quality

jobTree-mesos has no bugs reported.

Security

jobTree-mesos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

jobTree-mesos does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

jobTree-mesos releases are not available. You will need to build from source code and install.

jobTree-mesos has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed jobTree-mesos and discovered the below as its top functions. This is intended to give you an instant insight into jobTree-mesos implemented functionality, and help decide if they suit your requirements.

Processes a status update
Mark the task finished
Set the task running
Set the task failed
Performs the task tree sweep
Start the job
Update the branch tree
Adds a branch to the task tree
Split a task path into a list of paths
Returns the path to the task file
Process resource offers
Return the path to the active task
Determine if there are tasks queued
Start the job tree
Add a task to the task tree
Sets a follow target
Add a follow target

Get all kandi verified functions for this library.

jobTree-mesos Key Features

No Key Features are available at this moment for jobTree-mesos.

jobTree-mesos Examples and Code Snippets

No Code Snippets are available at this moment for jobTree-mesos.

Community Discussions

Trending Discussions on Job Orchestrator

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

QUESTION

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

Asked 2020-May-24 at 13:58

im trying to follow those tutorials:

https://sandervandevelde.wordpress.com/2018/11/06/getting-started-with-opc-ua-on-azure-iot-edge/ and https://docs.microsoft.com/en-us/azure/iot-accelerators/howto-opc-publisher-run

to bring data from an opc-ua server to the azure cloud.

I have already successfully played through the https://docs.microsoft.com/en-us/azure/iot-edge/quickstart tutorial.

I think maybe the OPCPublisher does not find the configuration file?!

I set up the configuration file under C:\iiotedge\pn.json (with changed ip):

...

ANSWER

Answered 2020-May-24 at 13:58

Was facing the same issue. It looks like the container is not running in appdata but in app. I've changed the createOptions to:

Source https://stackoverflow.com/questions/61938039

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install jobTree-mesos

You can download it from GitHub.
You can use jobTree-mesos like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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