fast-js | : heart_eyes : Writing Fast JavaScript | Calendar library
kandi X-RAY | fast-js Summary
kandi X-RAY | fast-js Summary
:heart_eyes: Writing Fast JavaScript
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Top functions reviewed by kandi - BETA
- Compiles a source file
- Main benchmark .
- Main entry point .
- Turn a number into a percentage .
- Hide hidden class
- Adds a percent value to the number .
- Adds a number to a percentage .
- Template for conversion functions .
- Set timeout .
- Initialize a url
fast-js Key Features
fast-js Examples and Code Snippets
Community Discussions
Trending Discussions on fast-js
QUESTION
I entered the command npm install -D tailwind css postcss autoprefixer vite
in VS-Code.
My environment is:
- NPM version:
8.1.2
- Node.js version:
16.13.1
Which resulted in following warning:
...ANSWER
Answered 2022-Jan-05 at 14:53Its not a breaking error, just means that some functionalities might not work as expected.
As this npm WARN EBADENGINE required: { node: '>=0.8 <=9' }
line shows, the required node version for this package to work as intended is between 0.8 and 9 but you have node 16.
QUESTION
I'm attempting to create a revisable document, with the edits stored as fast-json-patch
ed objects.
The rough outline is :
...ANSWER
Answered 2021-Aug-25 at 07:52Sorry, it was a basic coding / fencepost-ish error:
QUESTION
What I want to do is add validation to the schema response from a fastify route.
Following the documentation from Fastify here we can see this
Ajv for the validation of a request fast-json-stringify for the serialization of a response's body
Related to improve and add validations for a response, what I want to do is check the schema when I send a response.
fast-json-stringify support different options, included format, but if you read the documentation, they said that they support JSON schema. Jsonschema has support for email format, that you can see here as a built-in format but when I try to use it on Fastify, like this:
...ANSWER
Answered 2021-Feb-10 at 14:22fast-json-stringify
does the serialization, not the validation.
The json schema provided to it will be used to serialize only the properties
declared and some type checking like integer
or array
s.
- the
enum
keyword is not supported - the
format
keyword is supported only for the dates as documented:
To reach your goal, you should use this plugin: fastify-response-validation
that will add a validation step of your response body before the serialization process.
QUESTION
I have installed new Windows OS in PC recently and lost all my settings. I have installed node in my system and two global npm packages. But when i am running this command npm list -g --depth=0
or npm list -g
then money errors are here. I have tried to install eslint but nothing resolved.
The error list is here,
...ANSWER
Answered 2020-Oct-01 at 19:42I have solved this problem by manually installing the same version of the missing packages as global.
QUESTION
I'm seeing some performance issues in my application and was wondering whether my cache was working properly or if I misunderstood / misconfigured anything. I'm using fast-jsonapi for serialization which comes with a built-in caching option.
Let's say:
...ANSWER
Answered 2020-May-23 at 20:51Like I can see you want to cache this JSON response.
Add a cache key for this query. You need this to invalidate the response, when books change over the time.
QUESTION
I've revised the question, in the hope of getting a clearer answer.
I'm trying to process data in ExpressJS, based on the incoming req.body
and the existing data in the table.
I'm receiving a req.body
that contains a JSON list of updated fields. Some of those fields are stored as JSONB in Postgres. If an incoming field is JSONB, then the form (external code) that is making the request has already run a jsonpatch.compare()
to generate the list of patches, and it is these patches and not the full values that are being passed in. For any non-JSONB values, incoming values just need to be passed through to the UPDATE
query.
I have a working version, as below, that pretends that the existing JSONB values in the table ARE NULL. Clearly, this is NOT what is needed. I need to pull the values from the db. The non-querying-of-current-values version and a bare minimum router, looks like this:
...ANSWER
Answered 2020-Apr-11 at 07:16In case anyone is still awake, here's a working solution to my issue.
TLDR; RTFM: A pooled client with async/await minus the pooling (for now).
QUESTION
I have a large table of data (rendered using AG-Grid) and I want update it in the Postgres backend, but the best approach to the next part has me prevaricating, in terms of the amount of work, and the best course of actions.
Using the fast-json-patch
library, I can get a JSON patch list easily enough in the client, and then something roughly thus:
ANSWER
Answered 2020-Mar-28 at 13:53Use the 2nd method. PostgreSQL has no edit-in-place feature for JSONB. It is always going to include making a full copy. You might as well do that in the client, which seems to be have better tools for it.
An exception might be if the patch is small and the JSONB is huge and your network is slow.
QUESTION
So I have an app that needs to JSON.stringify
its data to put into localStorage, but as the data gets larger, this operation gets outrageously expensive.
So, I tried moving this onto a webWorker so it's off the main thread, but I'm now learning posting an object to a webWorker is even more expensive than stringifying it.
So I guess I'm asking, is there any way whatsoever to get JSON.stringify
off the main thread, or at least make it less expensive?
I'm familiar with fast-json-stringify
, but I don't think I can feasibly provide a complete schema every time...
ANSWER
Answered 2020-Mar-24 at 22:30You have correctly observed that passing object to web worker costs as much as serializing it. This is because web workers also need to receive serialized data, not native JS objects, because the instance objects are bound to the JS thread they were created in.
The generic solution is applicable to many programming problems: chose the right data structures when working with large datasets. When data gets larger it's better sacrifice simplicity of access for performance. Thus do any of:
Store data in indexedDBIf your large object contains lists of the same kind of entry, use indexed DB for reading and writing and you don't need to worry about serialization at all. This will require refactor of your code, but this is the correct solution for large datasets.
Store data in ArrayBufferIf your data is mostly fixed-size values, use an ArrayBuffer. ArrayBuffer can be copied or moved to web worker pretty much instantly and if your entries are all same size, serialization can be done in parallel. For access, you may write simple wrappers classes that will translate your binary data into something more readable.
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