tusharf5

Reading Big Files in Node.js is a little tricky. Node.js is meant to deal with I/O tasks efficiently and not CPU intensive computations. It is still doable though but I'd prefer doing such tasks in languages like python, R etc. Reading, Parsing, Transforming and then Saving large data sets (I'm talking millions of records here) can be done in a lot of ways but only a few of those are efficient. Following snippet is able to parse millions of records without wasting a lot of CPU (15% - 30% max) and (40 MB - 60 MB max) memory. It is based on Streams.

The following program expects the input to be a csv file source eg. big-data.unpr.csv It saves the result as ndjson and not json as working with huge datasets is easier when done using ndjson format.

joelmasters

How to setup next.js app on nginx with letsencrypt/getssl

next.js, nginx, reverse-proxy, ssl

Next.js package setup

Your server.js file should look like the following. Make sure you're serving static files!

const { createServer } = require('http');
const { parse } = require('url');
const next = require('next');

kocisov

How to setup Next.js app on Nginx with letsencrypt

Next.js, Nginx with Reverse proxy, SSL certificate

• UPDATE (07/20/2021):
  • This process got simplified over the years of this gist being out
  • Older version of this gist (without certbot): https://gist.github.com/kocisov/2a9567eb51b83dfef48efce02ef3ab06/33fdd88872a0801bdde58fccce430fa48737ae10
  • I would also now recommend deploying to Vercel if you don't need custom server support

1. Install Nginx, Node and certbot

maximkott

export const maskString = (
  value: any,
  mask: string,
  maskPatterns: Record<string, RegExp | ((char: string) => boolean)>
) => {
  value = value || '';
  mask = mask || '';
  maskPatterns = maskPatterns || {};

  let maskedValue = '';

h4ssi

Windows Registry Editor Version 5.00

; heavily based on http://superuser.com/a/374396/589519

[-HKEY_CLASSES_ROOT\Directory\shell\runas]

[HKEY_CLASSES_ROOT\Directory\shell\runas]
@="Open command window here as administrator"
"HasLUAShield"=""
"Extended"=""

craigminihan

sudo yum install libmpc-devel mpfr-devel gmp-devel

cd ~/Downloads
curl ftp://ftp.mirrorservice.org/sites/sourceware.org/pub/gcc/releases/gcc-4.9.2/gcc-4.9.2.tar.bz2 -O
tar xvfj gcc-4.9.2.tar.bz2

cd gcc-4.9.2
./configure --disable-multilib --enable-languages=c,c++
make -j 4
make install