taskflow | Taskflow : Share system resources without breaking a sweat
kandi X-RAY | taskflow Summary
kandi X-RAY | taskflow Summary
Taskflow is a UNIX utility that allows users to schedule arbitrary tasks to run when the system has enough resources available.
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Top functions reviewed by kandi - BETA
- Handle a new task
- Return a Task object
- Gets the current timestamp in milliseconds
- Wait for a task to finish
- Run the task
- Start process
- Format a number of bytes
- Convert a new Task into a dictionary
- Start a new task
- Wait for new task to finish
- Send shutdown message
- Start the scheduler
- Cleans up task locks
- Return True if the task can be run
- Manage ps command line options
- Print the task table
- Setup the taskflow API
- Shutdown the server
- Show a task
- Prints information about a task
- Stop the server
- Convert memory value to bytes
- Start the server
- Main loop
- Check if nvml is installed
- Stop the event loop
taskflow Key Features
taskflow Examples and Code Snippets
# Run task using 5GB RAM
taskflow run -m 5G my-command --option X Y
# Run task using 10GB memory on GPU 0
taskflow run --gpu 0:10G my-command --option X Y
git clone https://aur.archlinux.org/taskflow-git.git
cd taskflow-git
makepkg -si
sudo systemctl enable --now taskflowd
wget https://github.com/lanPN85/taskflow/releases/download/0.3.1/taskflow_0.3.1_amd64.deb
sudo dpkg -i taskflow_0.3.1_amd64.deb
sudo systemctl enable --now taskflowd
Community Discussions
Trending Discussions on taskflow
QUESTION
I am currently using Airflow Taskflow API 2.0. I am having an issue of combining the use of TaskGroup and BranchPythonOperator.
Below is my code:
...ANSWER
Answered 2021-May-27 at 11:04BranchPythonOperator
is expected to return task_ids
You need to change the get_tasks
function to:
QUESTION
I used to create tasks with the python operator and retrieve execution in airflow 1 as follow
...ANSWER
Answered 2021-May-14 at 18:32You can access the execution context with get_current_context
method:
QUESTION
Wanted to try the new taskflow API I came to the point where I need to have 2 parallels task.
With Airflow v1 I was use to do something like
...ANSWER
Answered 2021-Apr-27 at 11:37if each task is depended on the value from previous task you can achieve it by:
QUESTION
I in the process of setting up Flask-migrate on an existing project. My project also uses Taskflow (https://github.com/openstack/taskflow
) module.
Taskflow sets up its own tables. All this while I have been pointing taskflow to use the same db as the app and it creates its own 3 tables. Now with migrations enabled, I am getting this error
Can't locate revision identified by '397d0bf4d081'
[This is happening when I do upgrade of the taskflow backend connection - if that is of any significance]
I am not clear as to how migrations should be setup to manage tables of the packages/modules that are installed in the project.
As I was writing this question, I got the idea to point the module to itw own db.
I tried this and it works. The question boils down to what is the right approach - Whether DB requirements of installed modules should be managed by pointing it to separate db (appears like the right thing to do).
...ANSWER
Answered 2020-Apr-15 at 10:30The problem is that taskflow uses Alembic to track its own database migrations, so your Alembic history (through Flask-Migrate) conflicts with that of Taskflow.
You have two options:
- the easiest is to use separate databases, as you have done.
- if you want to use the same database, then you have to do two things: first, use the include_object option of Alembic in your project to configure your migrations to ignore the tables maintained by Taskflow, and second, configure the Alembic version table name to something different than the
alembic_version
default, which I assume Taskflow uses.
QUESTION
I am facing an issue where I have a A.jsff(taskflow A) and a region inside A.jsff called aB.jsff (taskflow aB). Inside ab.jsff I have the panelTabbed control with two tabs (showDetailItem) tab1 and tab2. I also have a save button in the A.jsff which commits the changes on the page. I want the tab1 to be open whenever this taskflow is run.
The problem is, no matter which tab I select and click save(taskflow A), when I come back to this page, the tab which was previously expanded is always disclosed. Even after setting disclosed attribute and persist/dontPersist attribute, I wasn't able to achieve my requirement.
I also found few related discussions on the web which didn't help at all.
Can anyone please help or provide workaround to achieve this.
...ANSWER
Answered 2020-Apr-01 at 23:39This is a tech stack error. And I have been provided with a fix which can help others who can face same issue.
Create a binding for the panelTabbed element and add this to its setter function -
QUESTION
I'm trying to parse XML of tasks that includes dependencies and parameters tags, i want to iterate over the task and get the task name, params, depends. How would you recommend doing it?
I tried to get task by task and get all the data needed by accessing the specific tag.
code i tried: for elem in root: for subelem in elem.findall('taskFlow'): print(subelem.get['name'])
...ANSWER
Answered 2019-Jul-17 at 15:59See below
QUESTION
I'm trying to update a whole page in adf when you click on a link to go to the same page with new page parameters. If I open the link in a new tab, it works fine, but opening it in the same tab doesn't update.
I have a page that just displays the parameter value from the url, a link to the same page with a different parameter value, and an output text that displays the datetime. My taskflow starts by calling RetrieveDateTime() and then goes to refrestTest.jsff. The taskflow is a region on refresh.jsf page.
...ANSWER
Answered 2019-Jan-28 at 21:08I managed to solve this using the taskflow. Basically, I made the button go to a new page with a region. This region has a taskflow that reads the url parameters and if it matches my conditions, links back to the original page with new parameters (toDocumentsPage). Otherwise, goes to a different page (searchResults).Taskflow to refresh the page
QUESTION
I have a program that more or less does some vector operations repeated times. When I tried to use parallel_for
to do the same tasks in parallel I observed a significant time increase per task. Each task reads from the same data and there is no synchronization going on. Here is the example code (it requires the Taskflow library (https://github.com/cpp-taskflow/cpp-taskflow):
ANSWER
Answered 2018-Sep-04 at 12:20Hyperthreading exists because threads (in real world scenarios) frequently have to wait for data from memory, leaving the physical core essentially idle while data is in transit. Your example (and also the CPU, e.g. through prefetching) is trying hard to avoid this memory-boundness, so by saturating the number of threads, any two hyperthreads on the same core are competing for its execution ports. Note how there are only 3 integer vector ALUs available per core cycle on your CPUs - the scheduler can probably keep them all busy with the operations of one thread alone.
With 1 thread or 12 threads you won't really run into this contention. With 24 threads, you will only avoid this problem if each thread is scheduled to its own physical core, which probably doesn't happen (so you start seeing worse timings). With 48 cores you definitely get the above problem.
As harold mentioned, you might also be store bound (yet another resource that hyperthread pairs compete over).
QUESTION
I come across following C++
code:
ANSWER
Answered 2018-Jun-08 at 05:22That's a C++17 deduction guide. It tells the compiler how to deduce the template argument for MoveOnCopy
from constructor arguments. For example, in:
QUESTION
in the oracle jet quick basic example i have this table in dashboard.htm :
...ANSWER
Answered 2017-Aug-18 at 12:59Here is the sample for html and js datamodel. Please try.
HTML
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install taskflow
You can use taskflow 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.
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