tasks | Parallelize network dependent tasks in python | Job Scheduling library

 by   vivekn Python Version: Current License: No License

kandi X-RAY | tasks Summary

kandi X-RAY | tasks Summary

tasks is a Python library typically used in Data Processing, Job Scheduling applications. tasks has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install tasks' or download it from GitHub, PyPI.

tasks.py is a simple and fast task queue for executing multiple tasks in parallel. All you need to do is specify the task as a simple function that takes an argument and you get instant parallelism. Based on eventlet, multiprocessing and redis. It is ideal for executing multiple network bound tasks in parallel from a single node, without going through the pain of setting up a map reduce cluster. It uses both processes and green threads to extract the maximum out of a single node setup.
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            kandi-support Support

              tasks has a low active ecosystem.
              It has 27 star(s) with 4 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              tasks has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tasks is current.

            kandi-Quality Quality

              tasks has 0 bugs and 0 code smells.

            kandi-Security Security

              tasks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tasks code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tasks does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              tasks releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              tasks saves you 42 person hours of effort in developing the same functionality from scratch.
              It has 113 lines of code, 13 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tasks and discovered the below as its top functions. This is intended to give you an instant insight into tasks implemented functionality, and help decide if they suit your requirements.
            • Main entry point .
            • Execute a template function
            • Run the worker loop .
            • Setup a logger .
            • Help command .
            • Synchronize jobs in the database
            • Add jobs to db
            • Set the global function .
            • Set the redis instance .
            • Print the status of all jobs in the database .
            Get all kandi verified functions for this library.

            tasks Key Features

            No Key Features are available at this moment for tasks.

            tasks Examples and Code Snippets

            celerybeat how to pass arguments via scheduler to functions?
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # ...
            'args' : (1,),
            # ...
            

            Community Discussions

            QUESTION

            Parallelization in Durable Function
            Asked 2021-Jun-16 at 01:02

            I'm trying to understand how parallelization works in Durable Function. I have a durable function with the following code:

            ...

            ANSWER

            Answered 2021-Jun-10 at 08:44

            There are two approaches that are possible. The first is to use a suborchestrator for each job so that each suborchestrator handles just a specific job. Here is the docs for this approach https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-sub-orchestrations?tabs=csharp Example from docs seem to be alike to yours.

            The other is to use ContinueWith so that each job has its own "chain"

            Source https://stackoverflow.com/questions/67910695

            QUESTION

            How can I load CSS only if a class is present on the page?
            Asked 2021-Jun-16 at 00:01

            I am trying to inject code for a platform I use with my clients on Cloudflare. I would like to be able to add the following CSS only IF the class: badge-icon.icon-template is NOT present. I would like to use javascript for this (I think this is the best solution). Can someone help?

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:44
            
            if (!document.getElementsByClassName("badge-icon")[0] && !document.getElementsByClassName("icon-template")[0]) {
              // inject code
            }
            
            

            Source https://stackoverflow.com/questions/67993210

            QUESTION

            Multiple requests causing program to crash (using BeautifulSoup)
            Asked 2021-Jun-15 at 19:45

            I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).

            ...

            ANSWER

            Answered 2021-Jun-15 at 19:45

            To avoid the page from crashing, add the user-agent header to the headers= parameter in requests.get(), otherwise, the page thinks that your a bot and will block you.

            Source https://stackoverflow.com/questions/67992444

            QUESTION

            Implement barrier with pthreads on C
            Asked 2021-Jun-15 at 18:32

            I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results. The way I'm trying to merge the results is something like this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 01:58

            I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results.

            Ok, but yours is an unnecessarily difficult approach. At each step of the merge process, you want half of your threads to wait for the other half to finish, and the most natural way for one thread to wait for another to finish is to use pthread_join(). If you wanted all of your threads to continue with more work after synchronizing then that would be different, but in this case, those that are not responsible for any more merges have nothing at all left to do.

            This is what I've tried:

            Source https://stackoverflow.com/questions/67977544

            QUESTION

            iOS14.5 Widget data not up-to-date
            Asked 2021-Jun-15 at 17:05

            I use the following code to update my widget's timeline, but the "result" which I fetched from the core data is not up-to-date.

            My logic is when detecting the host app goes to background I call "WidgetCenter.shared.reloadAllTimelines()" and fetch the core data in the "getTimeline" function. After printing out the result, it is old data. Also I fetch the data with the same predicate under the .background, the data is up-to-date.

            Also I show the date in the widget view body, when I close the host app, the date is refreshing. Means that the upper refreshing logic works fine. But just always get the old data.

            Could someone help me out?

            ...

            ANSWER

            Answered 2021-Jun-15 at 17:05

            Update:

            I added the following code to refresh the core data before I fetch. Everything work as expect.

            Source https://stackoverflow.com/questions/67541631

            QUESTION

            How to thread a generator
            Asked 2021-Jun-15 at 16:02

            I have a generator object, that loads quite big amount of data and hogs the I/O of the system. The data is too big to fit into memory all at once, hence the use of generator. And I have a consumer that all of the CPU to process the data yielded by generator. It does not consume much of other resources. Is it possible to interleave these tasks using threads?

            For example I'd guess it is possible to run the simplified code below in 11 seconds.

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:02

            Send your data to separate processes. I used concurrent.futures because I like the simple interface.

            This runs in about 11 seconds on my computer.

            Source https://stackoverflow.com/questions/67958976

            QUESTION

            Sending Apple Push Notification via PushSharp.Core stopped working
            Asked 2021-Jun-15 at 15:45

            A few days ago my code for sending Push notifications stopped working :(

            The program began to hang on the last line apnsBroker.Stop();

            I use NuGet package PushSharp.Core https://github.com/mitch-tofi/PushSharp.Core

            ...

            ANSWER

            Answered 2021-Apr-27 at 13:30

            We're looking in to the same issue currently and it seems apple are disabling the old binary interface which push sharp uses.

            https://developer.apple.com/news/?id=c88acm2b

            pushsharp has it on the roadmap to support the new interface but not completed yet.

            Found this library which seems easy enough to use as a solution. hope this helps.

            https://github.com/alexalok/dotAPNS

            Source https://stackoverflow.com/questions/67280812

            QUESTION

            How does Kotlin coroutines manage to schedule all coroutines on the main thread without block it?
            Asked 2021-Jun-15 at 14:51

            I've been experimenting with the Kotlin coroutines in android. I used the following code trying to understand the behavior of it:

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:51

            This is exactly the reason why coroutines were invented and how they differ from threaded concurrency. Coroutines don't block, but suspend (well, they can do both). And "suspend" isn't just another name for "block". When they suspend (e.g. by invoking join()), they effectively free the thread that runs them, so it can do something else somewhere else. And yes, it sounds like something that is technically impossible, because we are in the middle of executing the code of some function and we have to wait there, but well... welcome to coroutines :-)

            You can think of it as the function is being cut into two parts: before join() and after it. First part schedules the background operation and immediately returns. When background operation finishes, it schedules the second part on the main thread. This is not how coroutines works internally (functions aren't really cut, they create continuations), but this is how you can easily imagine them working if you are familiar with executors or event loops.

            delay() is also a suspending function, so it frees the thread running it and schedules execution of the code below it after a specified duration.

            Source https://stackoverflow.com/questions/67987252

            QUESTION

            Airflow Trigger Rule Task dependencies
            Asked 2021-Jun-15 at 13:49

            In below shown DAG I want to execute task d no matter whether tasks b & c are success or failed, But for task e If tasks b, c & d are success then only it should be triggered. DAG Image

            Written below code but it is not working:

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:49

            You need to code the branch of your workflow tree in separate statements.

            Source https://stackoverflow.com/questions/67983294

            QUESTION

            SLURM and Python multiprocessing pool on a cluster
            Asked 2021-Jun-15 at 13:42

            I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:

            I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:

            ...

            ANSWER

            Answered 2021-Jun-15 at 06:17

            Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.

            You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.

            To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.

            Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.

            Source https://stackoverflow.com/questions/67975328

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

            Vulnerabilities

            No vulnerabilities reported

            Install tasks

            Install redis and start the server, tasks uses redis for queueing jobs. If you already have a redis server setup, call tasks.set_redis and pass a redis connection object with a different database/namespace from what you normally use in your application. Install the redis-py and eventlet libraries. Install tasks or copy this package to your source code.
            Install redis and start the server, tasks uses redis for queueing jobs. If you already have a redis server setup, call tasks.set_redis and pass a redis connection object with a different database/namespace from what you normally use in your application.
            Install the redis-py and eventlet libraries. `pip install redis eventlet`
            Install tasks or copy this package to your source code. `pip install tasks-py`

            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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            https://github.com/vivekn/tasks.git

          • CLI

            gh repo clone vivekn/tasks

          • sshUrl

            git@github.com:vivekn/tasks.git

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