queued | Simple HTTP-based queue server | Runtime Evironment library
kandi X-RAY | queued Summary
kandi X-RAY | queued Summary
Simple HTTP-based queue server.
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queued Key Features
queued Examples and Code Snippets
void placeQueens(int row, Integer[] columns, ArrayList results) {
if(row == GRID_SIZE) { //found valid placement
results.add(columns.clone());
}
else {
for(int col = 0; col < GRID_SIZE; col++) {
if(checkValid(columns, row, col)) {
@Override
public void run() {
for (int i = 0; i < numberOfElementsToTake; i++) {
try {
DelayObject object = queue.take();
numberOfConsumedElements.incrementAndGet();
System.ou
def plot_queens(solutions):
for solution in solutions:
for row, column in solution.items():
x = int(row.lstrip('x'))
y = column
plt.scatter(x, y, s=70)
plt.grid()
plt.show()
Community Discussions
Trending Discussions on queued
QUESTION
I have put nodes in a group. And I have put a func on the scene script to make changes to the nodes in group. In that func,I made the nodes to queue free and stuffs like that. But when I change scene and come back to the previous scene,the queued free is back again,it is not queued free anymore. How do I make it not change even after changing scene?
...ANSWER
Answered 2022-Mar-11 at 02:47Why information is lost
When you change the current scene with change_scene
or change_scene_to
the current scene is unloaded, and the new one is loaded and instanced.
Perhaps it helps to conceptualize that the instance of the scene is not the same as the scene in storage. So what happens is like opening a file in an editor, modifying and not saving it.
Alright, that is one solution if you really want to go that route: you can save a scene.
First create a PackedScene
, for example:
QUESTION
I'm working with Symfony 4.4 and Symfony Messenger
Messenger configuration includes a transport and routing:
...ANSWER
Answered 2022-Mar-02 at 15:37For some reason this seems to be an error that happens with some frequency, so I rather post an answer instead of a comment.
You are supposed to add message classes to the routing configuration, not handler classes.
Your configuration should be, if you want that message to be manages asynchronously:
QUESTION
I have a widget that performs a series of expensive computations (which are carried out on a compute core). The computations are queued in a list in the widget and the computation of each is waited for. The computations are queued in the build function so since before being sent to the compute core require some computations to be performed on the main isolate, I thought not to handle them directly in the build function but to just add them to the queue at build time.
This is the function I currently have to exhaust the queue:
...ANSWER
Answered 2022-Feb-21 at 10:48Streams are the best fit for such scenarios. Consider the following..
QUESTION
We have micro service which consumes(subscribes)messages from 50+ RabbitMQ queues.
Producing message for this queue happens in two places
The application process when encounter short delayed execution business logic ( like send emails OR notify another service), the application directly sends the message to exchange ( which in turn it is sent to the queue ).
When we encounter long/delayed execution business logic We have
messages
table which has entries of messages which has to be executed after some time.
Now we have cron worker which runs every 10 mins which scans the messages
table and pushes the messages to RabbitMQ.
Let's say the messages table has 10,000 messages which will be queued in next cron run,
- 9.00 AM - Cron worker runs and it queues 10,000 messages to RabbitMQ queue.
- We do have subscribers which are listening to the queue and start consuming the messages, but due to some issue in the system or 3rd party response time delay it takes each message to complete
1 Min
. - 9.10 AM - Now cron worker once again runs next 10 Mins and see there are yet 9000+ messages yet to get completed and time is also crossed so once again it pushes 9000+ duplicates messages to Queue.
Note: The subscribers which consumes the messages are idempotent, so there is no issue in duplicate processing
Design Idea I had in my mind but not best logicI can have 4 status ( RequiresQueuing, Queued, Completed, Failed )
- Whenever a message is inserted i can set the status to
RequiresQueuing
- Next when cron worker picks and pushes the messages successfully to Queue i can set it to
Queued
- When subscribers completes it mark the queue status as
Completed / Failed
.
There is an issue with above logic, let's say RabbitMQ somehow goes down OR in some use we have purge the queue for maintenance.
Now the messages which are marked as Queued
is in wrong state, because they have to be once again identified and status needs to be changed manually.
Let say I have RabbitMQ Queue named ( events )
This events queue has 5 subscribers, each subscribers gets 1 message from the queue and post this event using REST API to another micro service ( event-aggregator ). Each API Call usually takes 50ms.
Use Case:
- Due to high load the numbers events produced becomes 3x.
- Also the micro service ( event-aggregator ) which accepts the event also became slow in processing, the response time increased from 50ms to 1 Min.
- Cron workers follows your design mentioned above and queues the message for each min. Now the queue is becoming too large, but i cannot also increase the number of subscribers because the dependent micro service ( event-aggregator ) is also lagging.
Now the question is, If keep sending the messages to events queue, it is just bloating the queue.
https://www.rabbitmq.com/memory.html - While reading this page, i found out that rabbitmq won't even accept the connection if it reaches high watermark fraction (default is 40%). Of course this can be changed, but this requires manual intervention.
So if the queue length increases it affects the rabbitmq memory, that is reason i thought of throttling at producer level.
Questions- How can i throttle my cron worker to skip that particular run or somehow inspect the queue and identify it already being heavily loaded so don't push the messages ?
- How can i handle the use cases i said above ? Is there design which solves my problem ? Is anyone faced the same issue ?
Thanks in advance.
AnswerCheck the accepted answer Comments for the throttling using queueCount
...ANSWER
Answered 2022-Feb-21 at 04:45You can combine QoS - (Quality of service) and Manual ACK to get around this problem. Your exact scenario is documented in https://www.rabbitmq.com/tutorials/tutorial-two-python.html. This example is for python, you can refer other examples as well.
Let says you have 1 publisher and 5 worker scripts. Lets say these read from the same queue. Each worker script takes 1 min to process a message. You can set QoS at channel level. If you set it to 1, then in this case each worker script will be allocated only 1 message. So we are processing 5 messages at a time. No new messages will be delivered until one of the 5 worker scripts does a MANUAL ACK.
If you want to increase the throughput of message processing, you can increase the worker nodes count.
The idea of updating the tables based on message status is not a good option, DB polling is the main reason that system uses queues and it would cause a scaling issue. At one point you have to update the tables and you would bottleneck because of locking and isolations levels.
QUESTION
In the Programming Language Examples Alike Cookbook's chapter on Sockets, the "Pre-Forking Servers" section uses a SIGCHLD handler like this:
...ANSWER
Answered 2022-Feb-16 at 19:08Here's the version that I am using for many years. This function is set as the Sys.sigchld
handler with Sys.set_signal Sys.sigchld (Sys.Signal_handle reap)
.
QUESTION
Updated:
2~3days After, my job is failed automatically with below message
I have some trouble all github action jobs are queued and never executed.
I have checked Github action status on statusgithub.com
but canont find something down or trouble sign.
With many searching, I found this thread
It looks so old trouble. so stranger. on other repository, github action is working well.
yaml
...ANSWER
Answered 2022-Feb-10 at 23:35Updated
After github action incident on Feb 5, It looks like (even now) not working on many images except 'ubuntu'.
Update runs-on tag to ubuntu latest, I pushed commit then finally github picks my ci/cd jobs.
I used node alpine image originally
old answers
I found incidents in github page when I faced that error.
Maybe that affects queued status.
QUESTION
I have a list of intensive updates so I am grouping them together and executing them as a batch job in a single thread. Other threads can send their updates at any time.
...ANSWER
Answered 2022-Jan-23 at 17:14It looks to me as if you need a combination of more than one collection. Perhaps something like this?
QUESTION
I have a job server running Bull and express.
Server requirements
Receive a request containing an object and use that object as an input to a local programme (no other choice) which takes several minutes to a couple hours to run. The jobs MUST be run one after the other in the order they are received (no way round this).
TL;DR Server:
...ANSWER
Answered 2022-Jan-06 at 22:59Solved; it is amazing how writing out a question in full can inspire the brain and make you look at things again. Leaving this here for future Googlers.
See this from the Bull docs > https://github.com/OptimalBits/bull#separate-processes
I needed to invoke Bull's separate-processes. This allows me to run blocking code in a process separate from the node/express process which means future requests are not blocked, even though synchronous code is running.
QUESTION
Ok, I'm totally lost on deadlock issue. I just don't know how to solve this.
I have these three tables (I have removed not important columns):
...ANSWER
Answered 2021-Dec-26 at 12:54You are better off avoiding serializable isolation level. The way the serializable guarantee is provided is often deadlock prone.
If you can't alter your stored procs to use more targeted locking hints that guarantee the results you require at a lesser isolation level then you can prevent this particular deadlock scenario shown by ensuring that all locks are taken out on ServiceChange
first before any are taken out on ServiceChangeParameter
.
One way of doing this would be to introduce a table variable in spGetManageServicesRequest
and materialize the results of
QUESTION
I have a busy ASP.NET 5 Core app (thousands of requests per second) that uses SQL Server. Recently we decided to try to switch some hot code paths to async
database access and... the app didn't even start. I get this error:
The timeout period elapsed prior to obtaining a connection from the pool. This may have occurred because all pooled connections were in use and max pool size was reached.
And I see the number of threads in the thread pool growing to 40... 50... 100...
The code pattern we use is fairly simple:
...ANSWER
Answered 2021-Dec-11 at 12:54Well, after a bit of digging, investigating source codes and tons of reading, it appears that async
is not always a good idea for DB calls.
As Stephen Cleary (the god of async who wrote many books about it) has nailed it - and it really clicked with me:
If your backend is a single SQL server database, and every single request hits that database, then there isn't a benefit from making your web service asynchronous.
So, yes, async
helps you free up some threads, but the first thing these threads do is rush back to the database.
Also this:
The old-style common scenario was
client <-> API <-> DB,
and in that architecture there's no need for asynchronous DB access
However if your database is a cluster or a cloud or some other "autoscaling" thing - than yes, async
database access makes a lot of sense
Here's also an old archive.org
article by RIck Anderson that I found useful: https://web.archive.org/web/20140212064150/http://blogs.msdn.com/b/rickandy/archive/2009/11/14/should-my-database-calls-be-asynchronous.aspx
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