concurrently | Like npm run watch | Command Line Interface library

 by   kimmobrunfeldt JavaScript Version: v6.2.0 License: MIT

kandi X-RAY | concurrently Summary

kandi X-RAY | concurrently Summary

concurrently is a JavaScript library typically used in Utilities, Command Line Interface, Nodejs, NPM applications. concurrently has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i rd-concurrently' or download it from GitHub, npm.

Run multiple commands concurrently. Like npm run watch-js & npm run watch-less but better.
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              concurrently has a medium active ecosystem.
              It has 4518 star(s) with 186 fork(s). There are 23 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 55 open issues and 126 have been closed. On average issues are closed in 107 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of concurrently is v6.2.0

            kandi-Quality Quality

              concurrently has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              concurrently is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              concurrently releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.

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            concurrently Key Features

            No Key Features are available at this moment for concurrently.

            concurrently Examples and Code Snippets

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            Community Discussions

            QUESTION

            Use reference to captured variable in concurrently-executing code
            Asked 2022-Mar-28 at 10:03

            Update: This question gets a lot of views. If you think the question can be enhanced to add the situation in which you encountered the error yourself, please briefly describe your situation in the comments so we can make this Q&A more valuable. And if you have a solution to your version of the problem, please add it as an answer.

            I want to update the UI after doing async background work using Task.detached and an async function.

            However, I get a build error Reference to captured var 'a' in concurrently-executing code error during build.

            I tried some things and turning the variable into a let constant before updating the UI is the only thing that works. Why do I need to make a let constant before being able to update the UI? Are there alternatives?

            ...

            ANSWER

            Answered 2021-Oct-13 at 14:14

            Make your observable object as main actor, like

            Source https://stackoverflow.com/questions/69556237

            QUESTION

            How to constrain concurrency (like `maxConcurrentOperationCount`) with Swift Concurrency?
            Asked 2022-Feb-17 at 22:06

            I am trying to perform a series of network requests and would like to limit the number of concurrent tasks in the new Swift Concurrency system. With operation queues we would use maxConcurrentOperationCount. In Combine, flatMap(maxPublishers:_:). What is the equivalent in the new Swift Concurrency system?

            E.g., it is not terribly relevant, but consider:

            ...

            ANSWER

            Answered 2022-Feb-17 at 22:06

            One can insert a group.next() call inside the loop after reaching a certain count, e.g.:

            Source https://stackoverflow.com/questions/70976323

            QUESTION

            Uvicorn async workers are still working synchronously
            Asked 2022-Feb-07 at 18:39

            Question in short

            I have migrated my project from Django 2.2 to Django 3.2, and now I want to start using the possibility for asynchronous views. I have created an async view, setup asgi configuration, and run gunicorn with a Uvicorn worker. When swarming this server with 10 users concurrently, they are served synchronously. What do I need to configure in order to serve 10 concurrent users an async view?

            Question in detail

            This is what I did so far in my local environment:

            • I am working with Django 3.2.10 and Python 3.9.
            • I have installed gunicorn and uvicorn through pip
            • I have created an asgi.py file with the following contents
            ...

            ANSWER

            Answered 2022-Feb-06 at 21:43

            When running the gunicorn command, you can try to add workers parameter with using options -w or --workers.

            It defaults to 1 as stated in the gunicorn documentation. You may want to try to increase that value.

            Example usage:

            Source https://stackoverflow.com/questions/70864474

            QUESTION

            Augmenting moto with mock patch where method is not yet implemented
            Asked 2022-Jan-28 at 10:09

            I am writing a lambda function that takes a list of CW Log Groups and runs an "export to s3" task on each of them.

            I am writing automated tests using pytest and I'm using moto.mock_logs (among others), but create_export_tasks() is not yet implemented (NotImplementedError).

            To continue using moto.mock_logs for all other methods, I am trying to patch just that single create_export_task() method using mock.patch, but it's unable to find the correct object to patch (ImportError).

            I successfully used mock.Mock() to provide me just the functionality that I need, but I'm wondering if I can do the same with mock.patch()?

            Working Code: lambda.py

            ...

            ANSWER

            Answered 2022-Jan-28 at 10:09

            I'm wondering if I can do the same with mock.patch()?

            Sure, by using mock.patch.object():

            Source https://stackoverflow.com/questions/70779261

            QUESTION

            Concurrent updates on DynamoDB with Conditional Expression sometime both passing
            Asked 2022-Jan-20 at 23:24

            I'm having an issue where two concurrent processes are updating a DynamoDB table within 5ms of each other and both pass the conditional expression when I expect one to throw the ConditionalCheckFailedException exception. Documentation states:

            DynamoDB supports mechanisms, like conditional writes, that are necessary for distributed locks.

            https://aws.amazon.com/blogs/database/building-distributed-locks-with-the-dynamodb-lock-client/

            My table schema has a single Key attribute called "Id":

            ...

            ANSWER

            Answered 2022-Jan-19 at 09:32

            The race you are suggesting is very surprising, because it is exactly what DynamoDB claims its conditional updates avoids. So either Amazon have a serious bug in their implementation (which would be surprising, but not impossible), or the race is actually different than what you described in your question.

            In your timeline you didn't say how your code resets "StartedRefreshingAt" to nothing. Does the same UpdateTable operation which writes the results of the work back to the table also deletes the StartedRefreshingAt attribute? Because if it's a separate write, it's theoretically possible (even if not common) for the two writes to be reordered. If StartedRefreshingAt is deleted first, at that moment the second process can start its own work - before the first process's results were written - so the problem you described can happen.

            Another thing you didn't say is how your processing reads the work from the item. If you accidentally used eventual consistency for the read, instead of strong consistency, it is possible that execution 2 actually did start after execution 1 was finished, but when it read the work it needs to do - it read again the old value and not what execution 1 wrote - so execution 2 ended up repeating 1's work instead of doing new work.

            I don't know if either of these guesses makes sense because I don't know the details of your application, but I think the possibility that DynamoDB consistency simply doesn't work as promised is the last guess I would make.

            Source https://stackoverflow.com/questions/70764804

            QUESTION

            Mutex with an atomic read&write
            Asked 2021-Nov-02 at 20:02

            I need to have a global boolean flag that will be accessed by multiple threads.

            Here is an example of what I need:

            ...

            ANSWER

            Answered 2021-Nov-02 at 19:31

            Conceivably, another thread could come in between when you read GLOBAL_FLAG and when you set GLOBAL_FLAG to true. To work around this you can directly store the MutexGuard (docs) that GLOBAL_FLAG.lock().unwrap() returns:

            Source https://stackoverflow.com/questions/69815690

            QUESTION

            When should you use tokio::join!() over tokio::spawn()?
            Asked 2021-Oct-20 at 16:11

            Let's say I want to download two web pages concurrently with Tokio...

            Either I could implement this with tokio::spawn():

            ...

            ANSWER

            Answered 2021-Oct-20 at 03:01

            The difference will depend on how you have configured the runtime. tokio::join! will run tasks concurrently in the same task, while tokio::spawn! creates a new task for each.

            In a single-threaded runtime, these are effectively the same. In a multi-threaded runtime, using tokio::spawn! twice like that may use two separate threads.

            From the docs for tokio::join!:

            By running all async expressions on the current task, the expressions are able to run concurrently but not in parallel. This means all expressions are run on the same thread and if one branch blocks the thread, all other expressions will be unable to continue. If parallelism is required, spawn each async expression using tokio::spawn and pass the join handle to join!.

            For IO-bound tasks, like downloading web pages, you aren't going to notice the difference; most of the time will be spent waiting for packets and each task can efficiently interleave their processing.

            Use tokio::spawn! when tasks are more CPU-bound and could block each other.

            Source https://stackoverflow.com/questions/69638710

            QUESTION

            Are DynamoDB conditional writes transactional?
            Asked 2021-Oct-14 at 11:47

            I'm having trouble wrapping my head around the dichotomy of DDB providing Condition Writes but also being eventually consistent. These two truths seem to be at odds with each other.

            In the classic scenario, user Bob updates key A and sets the value to "FOO". User Alice reads from a node that hasn't received the update yet, and so it gets the original value "BAR" for the same key.

            If Bob and Alice write to different nodes on the cluster without condition checks, it's possible to have a conflict where Alice and Bob wrote to the same key concurrently and DDB does not know which update should be the latest. This conflict has to be resolved by the client on next read.

            But what about when condition write are used?

            User Bob sends their update for A as "FOO" if the existing value for A is "BAR". User Alice sends their update for A as "BAZ" if the existing value for A is "BAR".

            Locally each node can check to see if their node has the original "BAR" value and go through with the update. But the only way to know the true state of A across the cluster is to make a strongly consistent read across the cluster first. This strongly consistent read must be blocking for either Alice or Bob, or they could both make a strongly consistent read at the same time.

            So here is where I'm getting confused about the nature of DDBs condition writes. It seems to me that either:

            1. Condition writes are only evaluated locally. Merge conflicts can still occur.
            2. Condition writes are evaluated cross cluster.

            If it is #2, the only way I see that working is if:

            1. A lock is created for the key.
            2. A strongly consistent read is made.

            Let's say it's #2. Now where does this leave Bob's update? The update was made to node 2 and sent to node 1 and we have a majority quorum. But to make those updates available to Alice when they do their own conditional write, those updates need to be flushed from WAL. So in a conditional write are the updates always flushed? Are writes always flushed in general?

            There have been other questions like this here on SO but the answers were a repeat of, or a link to, the AWS documentation about this. The AWS documentation doesn't really explain this (or i missed it).

            ...

            ANSWER

            Answered 2021-Oct-13 at 16:38

            DynamoDB conditional writes are "transactional" writes but how they're done is not public information & is perhaps proprietary intellectual property.

            DynamoDB developers are the only ones with this information.

            Your issue is that you're looking at this from a node perspective - I have gone through every mention of node anywhere in DynamoDB documentation & it's just mentions of Node.js or DAX nodes not database nodes.

            While there can be outdated reads - yes, that would indicate some form of node - there are no database nodes per such when doing conditional writes.

            User Bob sends their update for A as "FOO" if the existing value for A is "BAR". User Alice sends their update for A as "BAZ" if the existing value for A is "BAR".

            Whoever's request gets there first is the one that goes through first.

            The next request will just fail, meaning you now need to make a new read request to obtain the latest value to then proceed with the 2nd later write.

            The Amazon DynamoDB developer guide shows this very clearly.

            Note that there are no nodes, replicas etc. - there is only 1 reference to the DynamoDB table:

            Condition writes are probably evaluated cross-cluster & a strongly consistent read is probably made but Amazon has not made this information public.

            Source https://stackoverflow.com/questions/69558641

            QUESTION

            How can I create row and children related by ForeignKey with RoomDB in a clean way?
            Asked 2021-Oct-09 at 23:23

            This question is somehow related to my last question, because it is the same project but now I am trying to go one more step forward.

            So, in my previous question I only had one table; this time I have two tables: the new second table is supposed to contain related attributes for the rows of the first table, in a OneToMany relationship. So, I store a ForeignKey in the second table that would store the Row ID of the first table's related row (obviously).

            The problem is this: the intention is creating both registers (parent and child) at the same time, using the same form, and ParentTable uses AUTO_INCREMENT for his PrimaryKey (AKA ID).

            Due to how RoomDb works, I do the creation using a POJO: but after insertion, this POJO won't give me the auto-generated ID as far as I know... so, the only workaround I am able to imagine is, when submitting the form, first make the INSERT for the parent, then using one of the form's fields that created the parent to make some kind of "SELECT * FROM parent_table WHERE field1 LIKE :field1", retrieving the ID, and then use that ID to create the child table's POJO and perform the next INSERT operation. However I feel something's not right about this approach, the last time I implemented something similar this way I ended up with a lot of Custom Listeners and a callback hell (I still have nightmares about that).

            About the Custom Listeners thing, it is the solution I ended up choosing for a different problem for a different project (more details about it in this old question). Taking a look to that old question might help adding some context about how misguided I am in MVVM's architecture. However, please notice the current question has nothing to do with WebServices, because the Database is purely local in the phone's app, no external sources.

            However, I am wondering: isn't this overkill (I mean the INSERT parent -> SELECT parentID -> INSERT child thing)? Is it inevitable having to do it this way, or there is rather a more clean way to do so?

            The "create method" in my Repository class looks like this:

            ...

            ANSWER

            Answered 2021-Oct-08 at 08:48

            You are on the right track. A clean way would be to wrap it in a function like this:

            Source https://stackoverflow.com/questions/69446377

            QUESTION

            Is it possible to miss an initial item when enumerating ConcurrentDictionary?
            Asked 2021-Oct-03 at 11:57

            I'm enumerating ConcurrentDictionary, I need to be sure I don't miss any initial item. In other words, I need to be sure I enumerate all initial items.

            Initial items: all items in dictionary when the enumeration starts.

            The documentation says:

            The enumerator returned from the dictionary is safe to use concurrently with reads and writes to the dictionary, however it does not represent a moment-in-time snapshot of the dictionary. The contents exposed through the enumerator may contain modifications made to the dictionary after

            But it is not clear if all initial items are enumerated. So I tested it with the following code:

            ...

            ANSWER

            Answered 2021-Oct-03 at 10:39

            Hopefully this will make it clearer.

            Source https://stackoverflow.com/questions/69423040

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