Masaki Yatsu yatsu

Postgres push triggers

Watch a table for changes and push a notification with a payload describing the change.

Example

In the Postgres shell:

-- Create the functions

This is roughly the same test run in both casper and nightwatch.

Linux Backup Solutions

I've been looking for the best Linux backup system, and also reading lots of HN comments.

Instead of putting pros and cons of every backup system I'll just list some deal-breakers which would disqualify them.

Also I would like that you, the HN community, would add more deal breakers for these or other backup systems if you know some more and at the same time, if you have data to disprove some of the deal-breakers listed here (benchmarks, info about something being true for older releases but is fixed on newer releases), please share it so that I can edit this list accordingly.

Amanda (comments by sammcj)

It has a lot of management overhead and that's a problem if you don't have time for a full time backup administrator.

2015-01-29 Unofficial Relay FAQ

Compilation of questions and answers about Relay from React.js Conf.

Disclaimer: I work on Relay at Facebook. Relay is a complex system on which we're iterating aggressively. I'll do my best here to provide accurate, useful answers, but the details are subject to change. I may also be wrong. Feedback and additional questions are welcome.

What is Relay?

Relay is a new framework from Facebook that provides data-fetching functionality for React applications. It was announced at React.js Conf (January 2015).

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

THIS GIST WAS MOVED TO TERMSTANDARD/COLORS REPOSITORY.

PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!

	#!/usr/bin/env python
	import numpy
	from numpy.distutils.system_info import get_info
	import sys
	import timeit

	print("version: %s" % numpy.__version__)
	print("maxint: %i\n" % sys.maxsize)

	info = get_info('blas_opt')

	"""Demo of streaming requests with Tornado.

	This script features a client using AsyncHTTPClient's body_producer
	feature to slowly produce a large request body, and two server
	handlers to receive this body (one is a proxy that forwards to the
	other, also using body_producer).

	It also demonstrates flow control: if --client_delay is smaller than
	--server_delay, the client will eventually be suspended to allow the
	server to catch up. You can see this in the logs, as the "client

	# -*- coding: utf-8
	from time import sleep, time
	from tornado.httpserver import HTTPServer
	from tornado.ioloop import IOLoop
	from tornado.web import Application, asynchronous, RequestHandler
	from multiprocessing.pool import ThreadPool
	from tornado import gen


	pool = ThreadPool(10)

	import os
	import json
	import httplib
	import time

	VERSION = "0.1.0"

	class ClientSession:
	def __init__(self, server, user, source=None, catalog=None, schema=None, debug=False):
	self.server = server