workq | Schedule adhoc one-time jobs at a future UTC time | Job Scheduling library
kandi X-RAY | workq Summary
kandi X-RAY | workq Summary
Schedule adhoc one-time jobs at a future UTC time. Workq can be used as a timer for any application event scheduling. Compare this to the usual alternative of building scheduling schema into an existing datastore, writing a custom worker to poll the datastore, and finally building in locking & state management to manage dispatching. In Workq, you schedule the job, lease the job, and complete the job. Workq can enable concurrency especially in languages that do not have built-in concurrency. Background multiple jobs, process them with multiple workers, and retrieve results from within a single process. Workq will retry jobs from TTR (time-to-run) timeouts and/or from explicit job failures through the max-attempts and max-fails flags. Retry is a job execution specification and does not require any custom worker logic. Distribute work to multiple workers using Workq as the coordinator. In addition, Workq is language agnostic, submit a job from one language and process it in another. Workq can also naturally store job execution results for later retrieval up to the job's TTL.
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workq Examples and Code Snippets
Community Discussions
Trending Discussions on workq
QUESTION
I am trying to sum the total number from a name table below:
...ANSWER
Answered 2019-Mar-15 at 21:49This should do the trick:
QUESTION
so I have the following submission script:
...ANSWER
Answered 2018-Aug-28 at 19:16You asked for 512 tasks for every job. Ask for a single one (or the number you consider appropriate for your code):
QUESTION
I have information from a cluster of virtual machines that I am trying to plot by day on a dc.js composite line chart.
Here is the JSON format:
...ANSWER
Answered 2017-Mar-30 at 18:29For anyone interested, here is what I did...
Create a dimension for institution names:
QUESTION
I boot my kernel
...ANSWER
Answered 2017-Mar-29 at 08:17There is already one API schedule_work_on
in the mainline kernel which you can use to run your workqueue thread on a specific core.
Few years ago I have used same API for the same purpose. Have a look in the sample code.
QUESTION
I am trying to use a set of Python 2.7 scripts in a folder to process some *.csv
files in another folder on Windows 7.
Here is the folder with the scripts C:\Users\UserH\workQ
and its contents are
ANSWER
Answered 2017-Feb-10 at 04:07I don't have a windows machine to test on, but I see no reason why it wouldn't work this way:
python "C:\Users\UserH\workQ\temp_far_cels.py" (options)
I think you are over thinking this trying to work with the path files in this case.
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