threadpool | An obsolete Python package for threadpool management
kandi X-RAY | threadpool Summary
kandi X-RAY | threadpool Summary
An obsolete Python package for threadpool management
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Removes num_workers workers
- Dismiss the event
- Make a list of WorkRequest objects
- Poll the results queue
- Create new worker threads
- Adds a WorkRequest to the queue
- Block until all results are available
- Join all dismissed Workers
threadpool Key Features
threadpool Examples and Code Snippets
Community Discussions
Trending Discussions on threadpool
QUESTION
I have the following three for loop (two of them are nested) in python. The API requests should be sent concurrently. How to parallelized the execution?
...ANSWER
Answered 2021-Jun-13 at 18:03Looking at the three instances of apiString and rewriting them to use the more succinct F-strings, they all appear to be of the form:
QUESTION
I like to control the thread execution when using streams with a thread pool. Currently i have List of string
...ANSWER
Answered 2021-Jun-12 at 20:33The code compiles and runs fine, once the code errors are fixed (str => s).
Common Pool
QUESTION
I would like to read a GRIB file downloaded from server using ecCodes library in Rust. However, my current solution results in segmentation fault. The extracted example, replicating the problem, is below.
I download the file using reqwest crate and get the response as Bytes1 using bytes(). To read the file with ecCodes I need to create a codes_handle using codes_grib_handle_new_from_file()2, which as argument requires *FILE usually get from fopen(). However, I would like to skip IO operations. So I figured I could use libc::fmemopen() to get *FILE from Bytes. But when I pass the *mut FILE from fmemopen() to codes_grib_handle_new_from_file() segmentation fault occurs.
I suspect the issue is when I get from Bytes a *mut c_void required by fmemopen(). I figured I can do this like that:
ANSWER
Answered 2021-Jun-12 at 13:291- Try changing
QUESTION
I have a written an application in c# that receives a request from another application and sends a request to an external broker via HTTP. broker accepts only 40 requests at a time. so I have a config where I mention the count. Broker is asking us to send 40 requests in one batch and another 40 in another batch but there should be a gap of 5 seconds. my question is how to call a method at a specific time. Presently 2 batches each with 40 requests go at the same time. My Present code looks like this. I need some idea how can I handle this .. Help will be highly appreciated. thanks.
...ANSWER
Answered 2021-Jun-06 at 14:49Add the following code before calling the method:
QUESTION
I having problem downloading multiple urls. My code still only download 1 url per session. Still need to finish the first one before downloading the next one.
I want to download like 3 urls at the same time.
Here's my code:
...ANSWER
Answered 2021-Jun-03 at 19:08This line
QUESTION
I have a generator that returns me a certain string, how can I use it together with this code?
...ANSWER
Answered 2021-Jun-03 at 03:27Essentially the same question that was posed here.
The essence is that multiprocessing will convert any iterable without a __len__ method into a list.
There is an open issue to add support for generators but for now, you're SOL.
If your array is too big to fit into memory, consider reading it in in chunks, processing it, and dumping the results to disk in chunks. Without more context, I can't really provide a more concrete solution.
UPDATE:
Thanks for posting your code. My first question, is it absolutely necessary to use multiprocessing? Depending on what my_function does, you may see no benefit to using a ThreadPool as python is famously limited by the GIL so any CPU bound worker function wouldn't speed up. In this case, maybe a ProcessPool would be better. Otherwise, you are probably better off just running results = map(my_function, generator).
Of course, if you don't have the memory to load the input data, it is unlikely you will have the memory to store the results.
Secondly, you can improve your generator by using itertools
Try:
QUESTION
I have around 10 different rabbit mq queues in 10 different virtual hosts to connect to. For each queue, a separate SimpleMessageListenerContainer bean is defined in my spring boot application and a separate Spring Integration flow is created using each specific SimpleMessageListenerContainer.
The concurrency for SimpleMessageListenerContainer is set to 1-3. Each of the SimpleMessageListenerContainer bean is using separate CachingConnectoryFacory beans. The Connection Factory mode is set as CHANNEL.
We also have another IntegrationFlow to publish messages to an outbound queue that is using a different connection factory. I am not setting any ThreadPool Task Executors in the ConnectionFactory, so it using the default one. While doing the Load test we are noticing that the multiple thread pool (prefixed with pool-) are getting crated and after a certain point application crashes may due to the high number of threads.
It looks like the default thread pool executor is having max value of Integer unbounded which may spinning up threads based on the demand. I tried setting custom Thread Pool task executors for each connection factory and I noticed that the threads are not growing like previously but from the java profiler it shows the SimpleMessageListenerContainer threads are getting BLOCKED frequently.
I want to know if there any best practices or to be followed while setting the custom thread pool task executors in the connection factory like a ratio between Lisneter threads and connection factory threads etc?
...ANSWER
Answered 2021-May-27 at 19:45I have done some debugging; ...-1 gets renamed to, for example AMQP Connection 127.0.0.1:5672.
That thread is not from the pool, but it is created by the same thread factory.
Similarly, the scheduled executor (for heartbeats) uses the same thread factory, and gets ...-2.
Hence the pool starts at ...-3. So indeed, you have a fixed pool of 8 threads, an I/O thread, and a heartbeat thread for each factory.
With a large number of factories like that, you probably don't need so many threads; I would suggest a single pooled executor with sufficient threads to satisfy your workload; experimentation is probably the only way to determine the number, but I would guess it's something less than 88 (11x8).
QUESTION
Spaces in URIs are allowed if they're encoded, as discussed here.
JAX-RS (Jersey on Payara) doesn't seem to allow spaces defined in the path regex pattern.
...ANSWER
Answered 2021-May-27 at 19:58Regex patterns are not encoded, but Jersey match URLs in encoded form.
This workaround should work:
QUESTION
use std::io::prelude::*;
use std::net::TcpListener;
use std::net::TcpStream;
use std::time::Duration;
// pyO3 module
use pyo3::prelude::*;
use pyo3::wrap_pyfunction;
use std::future::Future;
#[pyfunction]
pub fn start_server() {
let listener = TcpListener::bind("127.0.0.1:7878").unwrap();
let pool = ThreadPool::new(4);
for stream in listener.incoming() {
let stream = stream.unwrap();
pool.execute(|| {
let rt = tokio::runtime::Runtime::new().unwrap();
handle_connection(stream, rt, &test_helper);
});
}
}
#[pymodule]
pub fn roadrunner(_: Python<'_>, m: &PyModule) -> PyResult<()> {
m.add_wrapped(wrap_pyfunction!(start_server))?;
Ok(())
}
async fn read_file(filename: String) -> String {
let con = tokio::fs::read_to_string(filename).await;
con.unwrap()
}
async fn test_helper(contents: &mut String, filename: String) {
// this function will accept custom function and return
*contents = tokio::task::spawn(read_file(filename.clone()))
.await
.unwrap();
}
pub fn handle_connection(
mut stream: TcpStream,
runtime: tokio::runtime::Runtime,
test: &dyn Fn(&mut String, String) -> (dyn Future + 'static),
) {
let mut buffer = [0; 1024];
stream.read(&mut buffer).unwrap();
let get = b"GET / HTTP/1.1\r\n";
let sleep = b"GET /sleep HTTP/1.1\r\n";
let (status_line, filename) = if buffer.starts_with(get) {
("HTTP/1.1 200 OK", "hello.html")
} else if buffer.starts_with(sleep) {
thread::sleep(Duration::from_secs(5));
("HTTP/1.1 200 OK", "hello.html")
} else {
("HTTP/1.1 404 NOT FOUND", "404.html")
};
let mut contents = String::new();
let future = test_helper(&mut contents, String::from(filename));
runtime.block_on(future);
let response = format!(
"{}\r\nContent-Length: {}\r\n\r\n{}",
status_line,
contents.len(),
contents
);
stream.write(response.as_bytes()).unwrap();
stream.flush().unwrap();
}
ANSWER
Answered 2021-May-25 at 06:45You are writing a function type that returns a dyn type, not a reference to it, but the unsized type itself, that is not possible. Every time you want to write something like this, try using a generic instead:
QUESTION
and I appreciate in advance for your help on this. I have a VPS with the following specs:
OS: Centos 7.x CPU Model: Common KVM processor CPU Details: 6 Core(2200 MHz) Distro Name: CentOS Linux release 7.9.2009 (Core) Kernel Version: 3.10.0-1160.25.1.el7.x86_64 Database: Server type: MariaDB Server version: 10.2.38-MariaDB - MariaDB Server
And here is mu sqltuner output from letting it run after 48 hours and uptime.
...ANSWER
Answered 2021-May-24 at 18:37Rules for memory allocation.
- Do not allocate so much RAM that swapping will occur. Swapping is terrible for MySQL/MariaDB performance.
- Do adjust
innodb_buffer_pool_sizesuch that most of RAM is in use during normal time and even for spikes in activity. (I often say "set it to 70% of available RAM", but you are asking for more details.) - Do not bother changing other settings; they add to the complexity of "getting it right".
There are 3 situations (based on innodb_buffer_pool_size and dataset size):
- Tiny dataset -- buffer_pool is bigger than necessary --> wasting some of RAM, but so what; it is not useful for anything else. And it give you some room for growth.
- Medium-sized dataset -- Most activity is done in RAM; the system will run nicely.
- Big dataset -- The system may be I/O-bound. Adding RAM is a costly and brute force solution. However, some software techniques (eg, better indexes) may help, such as this for WordPress and WooCommerce.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install threadpool
You can use threadpool 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
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
