deferred | Modular and fast Promises implementation for JavaScript | Reactive Programming library
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kandi X-RAY | deferred Summary
Modular and fast Promises implementation for JavaScript
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of deferred
deferred Key Features
deferred Examples and Code Snippets
Lines of Code : 993License : Permissive (Apache-2.0)
Copyabstract class AWPlugin {
successHandler: () => void;
errorHandler: () => void;
/**
* Base plugin class. Constructor takes in a success function and error function to be executed upon
* return from call to native layer
License : No LicenseCopynpm i --save-dev cypress
"scripts": {
...
"cy:open": "cypress open",
...
}
{
"baseUrl": "http://localhost:8000"
}
describe('Submit Page', function() {
it('can be accessed from homepage', function() {
cy.visit('/')
cy.get('a').contains // Save a deferred object
var defer = $.imgpreloader({
paths: [
'./img/1.jpg',
'./img/2.jpg',
'./img/3.jpg'
]
});
// Always
defer.always(function($allImages, $properImages, $brokenImages){
// $allImages: jQuery object with all images
// $p @GetMapping("/async-deferredresult")
public DeferredResult> handleReqDefResult(Model model) {
LOG.info("Received async-deferredresult request");
DeferredResult> output = new DeferredResult<>();
ForkJoinPool.commonPool().su def _handle_deferred_layer_dependencies(self, layers):
"""Handles layer checkpoint dependencies that are added after init."""
layer_checkpoint_dependencies = self._layer_checkpoint_dependencies
layer_to_name = {v: k for k, v in layer_chec def deferred_exits(self):
"""The list of "deferred" exits."""
return self._deferred_exits /////////////////////////////
/////////////////////////////
//
// Create/open the database
//
/////////////////////////////
/////////////////////////////
String databasePath = await getDatabasesPath();
String finalPath = join(datab
Page Title
Select
#queryWorkAreaCounties.work_area_county_name#
class SerializedAsyncQueue {
constructor() {
this.tasks = [];
this.inProcess = false;
}
// adds a promise-returning function and its args to the queue
// returns a promise that resolves when the function finconst redis = require('redis');
const Q = require('q');
class CachePool {
constructor() {
this.cachedClients = {};
this.pendingCachedClients = {};
}
getConnection(host, port) {
const deferred = Q.deferCommunity Discussions
Trending Discussions on deferred
QUESTION
I am sending a list of string from my controller to my jsp
...ANSWER
Answered 2021-Jun-15 at 13:07console.log takes a string. The JS is rendered on the server, and run on the client. ${singleItem} needs to be:
- In quotes
- JS-escaped
Look at your rendered page: you will see
QUESTION
Hello all!
I recently learned that in newer versions of SQL Server, the query optimizer can "expand" a SQL view and utilize inline performance benefits. This could have some drastic effects going forward on what kinds of database objects I create and why and when I create them, depending upon when this enhanced performance is achieved and when it is not.
For instance, I would not bother creating a parameterized inline table-valued function with a start date parameter and an end date parameter for an extremely large transaction table (where performance matters greatly) when I can just make a view and slap a WHERE statement at the bottom of the calling query, something like
ANSWER
Answered 2021-Jun-14 at 22:08You will not find this information in the documentation, because it is not a single feature per se, it is simply the compiler/optimizer working its way through the query in various phases, using a number of different techniques to get the best execution plan. Sometimes it can safely push through predicates, sometimes it can't.
Note that "expanding the view" is the wrong term here. The view is always expanded into its definition (NOEXPAND excepted). What you are referring to is called predicate pushdown.
I've assumed here that indexed views and
NOEXPANDare not being used.
When you execute a query, the compiler starts by parsing and lexing the query into a basic execution plan. This is a very rough, unoptimized version which pretty much mirrors the query as written.
When there is a view in the query, the compiler will retrieve the view's pre-parsed execution tree and shoves it into the execution plan, again it is a very rough draft.
With derived tables, CTEs, correlated and non-correlated subqueries, as well as inline TVFs, the same thing happens, except that parsing is needed also.
After this point, you can assume that a view may as well have been written as a CTE, it makes no difference.
Can the optimizer push through the view?The compiler has a number of tricks up its sleeve, and predicate pushdown is one of them, as is simplifying views.
The ability of the compiler here is mainly dependent on whether it can deduce that a simplification is permitted, not that it is possible.
For example, this query
QUESTION
I'm trying to write an abbreviate function like so:
...ANSWER
Answered 2021-Jun-13 at 16:52T.head has type Text -> Char, so the result of map T.head (T.splitOn " " xs) is a value of type [Char]. T.concat has type [Text] -> Text, so they are not compatible. Use T.pack instead which has the correct type [Char] -> Text (or String -> Text which is the same thing).
QUESTION
According to the libevent book:
Deferred callbacks
By default, a bufferevent callbacks are executed immediately when the corresponding condition happens. (This is true of evbuffer callbacks too; we’ll get to those later.) This immediate invocation can make trouble when dependencies get complex. For example, suppose that there is a callback that moves data into evbuffer A when it grows empty, and another callback that processes data out of evbuffer A when it grows full. Since these calls are all happening on the stack, you might risk a stack overflow if the dependency grows nasty enough.
To solve this, you can tell a bufferevent (or an evbuffer) that its callbacks should be deferred. When the conditions are met for a deferred callback, rather than invoking it immediately, it is queued as part of the event_loop() call, and invoked after the regular events' callbacks.
As described above:
- The event loop fetches a batch of events, and processes them one by one immediately.
- Before the fetched events are processed, any new event won't be fetched and processed.
- If an event was marked as
BEV_OPT_DEFER_CALLBACKS, then it will be processed after all other events in the same batch are processed.
Provided two callbacks ca and cb. First, ca is called, ca finds evbuffer_A is empty, then writes a message into it.
Then, cb is called, and cb finds evbuffer_A contains a message, then fetch and send it out.
When cb is called, ca's stack has been released. I think there won't be a stack overflow in such a scenario.
So, my question is:
What's the purpose of deferred callbacks in libevent?
...ANSWER
Answered 2021-Jun-13 at 07:07The example given in the quoted text is a buffer being filled after one event and emptied after another event.
Consider this non-event driven pseudo-code for the same example.
QUESTION
I am currently building a small test project to learn how to use crontab on Linux (Ubuntu 20.04.2 LTS).
My crontab file looks like this:
* * * * * sh /home/path_to .../crontab_start_spider.sh >> /home/path_to .../log_python_test.log 2>&1
What I want crontab to do, is to use the shell file below to start a scrapy project. The output is stored in the file log_python_test.log.
My shell file (numbers are only for reference in this question):
...ANSWER
Answered 2021-Jun-07 at 15:35I found a solution to my problem. In fact, just as I suspected, there was a missing directory to my PYTHONPATH. It was the directory that contained the gtts package.
Solution: If you have the same problem,
- Find the package
I looked at that post
- Add it to sys.path (which will also add it to PYTHONPATH)
Add this code at the top of your script (in my case, the pipelines.py):
QUESTION
I just upgraded Mockito from 3.10.0 to 3.11.0 in our Android project, and now, running instrumentation tests crashes with the exception below. Any suggestion?
...ANSWER
Answered 2021-Jun-07 at 12:34The issue is known to the mockito project and reported there: https://github.com/mockito/mockito/issues/2316
QUESTION
I have a situation where my code needs to make one network call to fetch a bunch of items, but while waiting for those to come down, another network call might fetch an update to those items. I'd love to be able to enqueue those secondary results until the first one has finished. Is there a way to accomplish that with Combine?
Importantly, I am not able to wait before making the second request. It’s actually a connection to a websocket that gets made at the same time as the first request, and the updates come over the websocket outside of my control.
UpdateAfter examining Matt’s thorough book on Combine, I settled on .prepend(). But as Matt warned me in the comments, .prepend() doesn’t even subscribe to the other publisher until after the first one completes. This means I miss any signals sent prior to that. What I need is a Subject that enqueues values, but perhaps that’s not so hard to make. Anyway, this is where I got:
Initially I was going to use .append(), but I realized with .prepend() I could avoid keeping a reference to one of the publishers. So here’s a simplified version of what I’ve got. There might be syntax errors in this, as I’ve whittled it down from my (employer’s) code.
There’s the ItemFeed, which handles fetching a list of items and simultaneously handling item update events. The latter can arrive before the initial list of items, and thus must be sequenced via Combine to arrive after it. I attempt to do this by prepending the initial items source to the update PassthroughSubject.
Below that is an XCTestCase that simulates a lengthy initial item load, and adds an update before that load can complete. It attempts to subscribe to changes to the list of items, and tries to test that the first update is the initial 63 items, and the subsequent update is for 64 items (in this case, “update” results in adding an item).
Unfortunately, while the initial list is published, the update never arrives. I also tried removing the .output(at:) operators, but the two sinks are only called once.
After the test case sets up the delayed “fetch,” and subscribes to changes in feed.items, it calls feed.handleItemUpatedEvent. This calls ItemFeed.updateItems.send(_:), but unfortunately that is lost to oblivion.
ANSWER
Answered 2021-Jun-06 at 08:06After a fair bit of trial and error, I found a solution. I created a custom Publisher and Subscription that immediately subscribes to its upstream publisher and begins enqueuing elements (up to some specifiable capacity). It then waits for a subscriber to come along, and provides that subscriber with all the values up until now, and then continues providing values. Here’s a marble diagram:
I then use this in conjunction with .prepend() like so:
QUESTION
ANSWER
Answered 2021-Jun-04 at 10:59The join is much faster because it will internally create a HashSet to perform the lookup, whereas the list.Contains forces an inefficient iteration to find a match.
The current code:
QUESTION
I'm rewriting a series of jQuery AJAX requests and have been having trouble with .done code blocks. I'm attempting to send an AJAX request and wait for the response before processing the data. As a guide, I have been using the following page:
http://michaelsoriano.com/working-with-jquerys-ajax-promises-and-deferred-objects/
I've also looked at countless stack questions to try and troubleshoot my issues, but haven't found anything which has helped. For reference, some of the questions I've looked at are below:
jQuery Ajax call not processing .done
jquery ajax done function not firing
Confused on jquery .ajax .done() function
I've noticed that when I create code blocks which are similar to the guide above, the functions run on page load, rather than when they are triggered in code. To isolate the fault, I created a simple example, as below:
...ANSWER
Answered 2021-Jun-01 at 03:58The getData() expression you have immediately calls the function on pageload. Then you attach a .done handler to it.
It sounds like you want a function that calls $.ajax and attaches .done to it, like:
QUESTION
I am new to Rebus and am trying to get up to speed with some patterns we currently use in Azure Logic Apps. The current target implementation would use Azure Service Bus with Saga storage preferably in Cosmos DB (still investigating that sample implementation). Maybe even use Rebus Mongo DB with Cosmos DB using the Mongo DB API (not sure if that is possible though).
One major use case we have is an event/timeout pattern, and after doing some reading of samples/forums/Stack Overflow this is not uncommon. The tricky part is that our Sagas would behave more as a Finite State Machine vs. a Directed Acyclic Graph. This mainly happens because dates are externally changed and therefore timeouts for events change.
The Defer() method does not return a timeout identifier, which we assume is an implementation restriction (Azure Service Bus returns a long). Since we must ignore timeouts that had been scheduled for an event which has now shifted in time, we see a way of having those timeouts "ignored" (since they cannot be cancelled) as follows:
Use a
Dictionaryin our ownSagaData-derived base class, where the key is some derivative of the timeout message type, and the Guid is the identifier given to the timeout message when it was created. I don't believe this needs to be a concurrent dictionary but that is why I am here...On receipt of the event message, remove the corresponding timeout message type key from the above dictionary;
On receipt of the timeout message:
- Ignore if it's timeout message type key is not present or the Guid does not match the dictionary key/value; else
- Process. We could also remove the dictionary key at this point as well.
When event rescheduling occurs, simply add the timeout message type/Guid dictionary entry, or update the Guid with the new timeout message Guid.
Is this on the right track, or is there a more 'correct' way of handling defunct timeout (deferred) messages?
...ANSWER
Answered 2021-May-26 at 12:42You are on the right track 🙂
I don't believe this needs to be a concurrent dictionary but that is why I am here...
Rebus lets your saga handler work on its own copy of the saga data (using optimistic concurrency), so you're free to model the saga data as if it's being only being accessed by one at a time.
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