worker | Worker is a Golang library for scheduling and worker pool | Key Value Database library
kandi X-RAY | worker Summary
kandi X-RAY | worker Summary
Worker is a Golang library for scheduling and worker pool.
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Top functions reviewed by kandi - BETA
- Starts a job .
- NewWorkerPool creates a new pool of workers
- ScheduledJob2 queues a job to be scheduled .
- ScheduledJob1 queues a job for scheduling .
- ScheduledJob3 schedules a scheduled jobs .
- NewWorker returns a new worker
- Enqueue adds a job to the queue
- NewScheduler returns a new Scheduler .
worker Key Features
worker Examples and Code Snippets
Community Discussions
Trending Discussions on worker
QUESTION
How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?
My scenario is:
I am using Azure ServiceBus and Azure StorageTables.
I am running two different instances of the same worker service workera and workerb. I need workera and workerb to both consume messages of type Command based on the value of Command.WorkerPrefix.
the Command type looks like:
...ANSWER
Answered 2021-Jun-15 at 23:37Using MassTransit with Azure Service Bus, I would suggest taking the message routing burden away from the publisher, and moving it to the consumer. By configuring the receive endpoint and using a subscription filter each instance would add its own subscription and use a message header to filter published messages.
On the publisher, a message header would be added:
QUESTION
How do I get the URL of the current tab in the background service worker in MV3?
Here's what I have:
...ANSWER
Answered 2021-Jun-15 at 21:40You function getTab seems not right, you are currently trying to query on the url. Not on the query options. The following function should work.
QUESTION
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 19:45To 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.
QUESTION
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 16:02Send your data to separate processes. I used concurrent.futures because I like the simple interface.
This runs in about 11 seconds on my computer.
QUESTION
As is known, we can't access the dom element from the workers. When I create AudioContext:
...ANSWER
Answered 2021-Jun-15 at 14:36Not yet no. Here is a specs issue discussing this very matter, and it is something a lot of actors would like to see, so there is hope it comes, one day.
Note that there is an AudioWorklet API available, which will create its own Worklet (which also works in a parallel thread), but you still need to instantiate it from the UI thread, and you don't have access to everything that can be done in an AudioContext. Still, it may suit your needs.
Also, note that it might be possible to do the computing you have to do in a Worker already, by transferring ArrayBuffers from your UI thread to the Worker's one, or by using SharedArrayBuffers.
QUESTION
I need to push messages to external rabbitmq. My java configuration successfully declares queue to push, but every time I try to push, I have next exception:
...ANSWER
Answered 2021-Jun-15 at 07:19I'm struggling to understand how that code fits together, but this part strikes me as definitely wrong:
QUESTION
I'm implementing a simple task queue using redis in Rust, but am struggling to deserialize the returned values from redis into my custom types.
In total I thought of 3 approches:
- Deserializing using serde-redis
- Manually implementing the
FromRedisValuetrait - Serializing to String using serde-json > sending as string > then deserializing from string
The 3rd approach worked but feels artificial. I'd like to figure out either 1 or 2, both of which I'm failing at.
Approach 1 - serde-redisI have a simple Task definition:
...ANSWER
Answered 2021-Jun-15 at 09:55Redis doesn't define structured serialization formats. It mostly store strings and integers. So you have to choose or define your format for your struct.
A popular one is JSON, as you noticed, but if you just want to (de)serialize simple pairs of (id, description), it's not very readable nor convenient.
In such a case, you can define your own format, for example the id and the description with a dash in between:
QUESTION
In this video, he shows how multithreading runs on physical(Intel or AMD) processor cores.
and
All these links basically say:
Python threads cannot take advantage of many physical cores. This is due to an internal implementation detail called the GIL (global interpreter lock) and if we want to utilize multiple physical cores of the CPU
we must use true parallel multiprocessing module
But when I ran this below code on my laptop
...ANSWER
Answered 2021-Jun-15 at 08:06https://docs.python.org/3/library/math.html
The math module consists mostly of thin wrappers around the platform C math library functions.
While python itself can only execute a single instruction at a time, a low level c function that is called by python does not have this limitation.
So it's not python that is using multiple cores but your system's well optimized math library that is wrapped by python's math module.
That basically answers both your questions.
Regarding the usefulness of multiprocessing: It is still useful for those cases, where you're trying to parallelize pure python code or code that does not call libraries that already use multiple cores.
However, it comes with inter process communication (IPC) overhead that may or may not be larger than the performance gain that you get from using multiple cores. Tuning IPC is therefore often crucial for multiprocessing in python.
QUESTION
Let I've a dataframe df
...ANSWER
Answered 2021-Jun-15 at 07:10The error is caused by the for loop. Try:
QUESTION
Hey, I am working on putting up a rocket rest api with a mongodb database.
I have been able to create a successful connection to the MongoDB Atlas and put the resulting client into the state management of rocket via the manage builder function like this:
ANSWER
Answered 2021-Jun-14 at 20:39This has been resolved. See above for the solution. It is marked with a header saying solution.
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