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Hung Phan hung-phan

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  • San Mateo, CA
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@sebmarkbage
sebmarkbage / The Rules.md
Last active November 3, 2024 19:53
The Rules of React

The Rules of React

All libraries have subtle rules that you have to follow for them to work well. Often these are implied and undocumented rules that you have to learn as you go. This is an attempt to document the rules of React renders. Ideally a type system could enforce it.

What Functions Are "Pure"?

A number of methods in React are assumed to be "pure".

On classes that's the constructor, getDerivedStateFromProps, shouldComponentUpdate and render.

@huntc
huntc / server.scala
Last active December 12, 2017 04:45
A complete server using Akka streams that reads some source, batches its data and then publishes. If the data cannot be published then it backs off with a best-effort of sending that data again.
val (recycleQueue, recycleSource) =
Source
.queue[SoilStateReading](100, OverflowStrategy.dropTail)
.prefixAndTail(0)
.map(_._2)
.toMat(Sink.head)(Keep.both)
.run()
StreamConverters.fromInputStream(() => this.getClass.getClassLoader.getResourceAsStream("sensors.log"))
.via(SoilStateReading.csvParser)
.merge(Source.fromFutureSource(recycleSource))
@calvinlfer
calvinlfer / distributionflow.scala
Last active March 30, 2019 13:23
Akka Streams Flow that distributes messages (according to a hashing function) across sub-flows. The idea is to have ordered processing per sub-flow but parallel processing across sub-flows.
import akka.stream._
import akka.stream.scaladsl._
/***
* Example based on numBuckets = 3
* --- bucket 1 flow --- ~mapAsync(parallelism)~ ---
* |------------------| / \|---------------|
* Open inlet[A] --- | Partition Fan Out| --- bucket 2 flow --- ~mapAsync(parallelism)~ -----| Merge Fan In | --- Open outlet[B]
* |------------------| \ /|---------------|
* --- bucket 3 flow --- ~mapAsync(parallelism)~ ---
*
@acdlite
acdlite / app.js
Last active January 20, 2023 08:23
Quick and dirty code splitting with React Router v4
// getComponent is a function that returns a promise for a component
// It will not be called until the first mount
function asyncComponent(getComponent) {
return class AsyncComponent extends React.Component {
static Component = null;
state = { Component: AsyncComponent.Component };
componentWillMount() {
if (!this.state.Component) {
getComponent().then(Component => {
@jroyalty
jroyalty / frugal.py
Created June 2, 2016 20:26
Python implemention of frugal streaming algorithms for estimating quantiles. See: http://arxiv.org/abs/1407.1121
class frugal1_estimator(object):
def __init__(self, qtile):
self.qtile_target = qtile
self.m = 0.0
def add(self, new_data):
r = random.random()
if new_data > self.m and r > (1.0 - self.qtile_target):
self.m += 1
elif new_data < self.m and r > self.qtile_target:
@andreicristianpetcu
andreicristianpetcu / ansible-summary.md
Created May 30, 2016 19:25
This is an ANSIBLE Cheat Sheet from Jon Warbrick

An Ansible summary

Jon Warbrick, July 2014, V3.2 (for Ansible 1.7)

Configuration file

intro_configuration.html

First one found from of

@dmvaldman
dmvaldman / promisesEM.md
Last active June 1, 2024 00:20
Promises as EventEmitters

Promises as EventEmitters

I was trying to understand JavaScript Promises by using various libraries (bluebird, when, Q) and other async approaches.

I read the spec, some blog posts, and looked through some code. I learned how to

@idibidiart
idibidiart / GraphQL-Architecture.md
Last active September 16, 2023 18:36
Building an Agile, Maintainable Architecture with GraphQL

Building a Maintainable, Agile Architecture for Realtime, Transactional Apps

A maintainable application architecture requires that the UI only contain the rendering logic and execute queries and mutations against the underlying data model on the server. A maintainable architecture must not contain any logic for composing "app state" on the client as that would necessarily embed business logic in the client. App state should be persisted to the database and the client projection of it should be composed in the mid tier, and refreshed as mutations occur on the server (and after network interruption) for a highly interactive, realtime UX.

With GraphQL we are able to define an easy-to-change application-level data schema on the server that captures the types and relationships in our data, and wiring it to data sources via resolvers that leverage our db's own query language (or data-oriented, uniform service APIs) to resolve client-specified "queries" and "mutations" against the schema.

We use GraphQL to dyn

@OlegIlyenko
OlegIlyenko / Event-stream based GraphQL subscriptions.md
Last active July 4, 2024 07:31
Event-stream based GraphQL subscriptions for real-time updates

In this gist I would like to describe an idea for GraphQL subscriptions. It was inspired by conversations about subscriptions in the GraphQL slack channel and different GH issues, like #89 and #411.

Conceptual Model

At the moment GraphQL allows 2 types of queries:

  • query
  • mutation

Reference implementation also adds the third type: subscription. It does not have any semantics yet, so here I would like to propose one possible semantics interpretation and the reasoning behind it.

@wmertens
wmertens / full stack redux.md
Last active February 8, 2022 22:46
making an awesome server with the redux model, Work In Progress

Thought experiment: Redux-like stateless server

Description

We describe a model for client-server processing where the Redux model is used to minimize stateful code. This should allow live-reloading server code, and make it possible to share code (e.g. optimistic updating) between client and server.

Dramatis Personae

  • Assume a server consisting of multiple worker processes that do not share memory and may be running on multiple hosts.
    • Workers have middleware, root reducers and an app state object
  • Workers can be dynamically added and removed