KentVN dqtweb

Pyenv

Install Multiple Python Versions for Specific Project

Home project: https://github.com/pyenv/pyenv
Reference to: https://www.tecmint.com/pyenv-install-and-manage-multiple-python-versions-in-linux/

1. Install pyenv in Linux

Moved to git-repository: https://github.com/denji/awesome-http-benchmark

Tools

Located in alphabetical order (not prefer)

ab – slow and single threaded, written in C
apib – most of the features of ApacheBench (ab), also designed as a more modern replacement, written in C
autocannon – fast HTTP/1.1 benchmarking tool written in Node.js
baloo – Expressive end-to-end HTTP API testing made easy, written in Go (golang)

Migrate from Facebook scribe to Apache Flume (Part II)

In last article we talked about how to setup flume and write files HDFS. This article, we begin to change flume to write file in scribe like style category. Multiplexing Way?

The first thought is using source multiplex to distribute log to different destination. Flume distribute log events by event header. So we google to find out which field in header is referring to scribe header.

https://apache.googlesource.com/flume/+/d66bf94b1dd059bc7e4b1ff332be59a280498077/flume-ng-sources/flume-scribe-source/src/main/java/org/apache/flume/source/scribe/ScribeSource.java

category in header will refer to scribe category. So we try to use multiplexing source:

	#!/usr/bin/env python3

	'''
	always getting the most recent frame of a camera
	================================================

	Usage:
	------
	freshest_camera_frame.py

	After install zsh

	- brew update
	- brew install nvm
	- mkdir ~/.nvm

	after in your ~/.zshrc or in .bash_profile if your use bash shell:

	export NVM_DIR=~/.nvm
	source $(brew --prefix nvm)/nvm.sh

	const io = require('socket.io-client');

	const socket = io('http://localhost:3000', {
	transportOptions: {
	polling: {
	extraHeaders: {
	'Authorization': 'Bearer abc',
	},
	},
	},

	[Unit]
	Description=Jupyter Notebook

	[Service]
	Type=simple
	ExecStart=/home/roeyd/Notebook/.env/bin/jupyter lab --port 9090
	WorkingDirectory=/home/roeyd/Notebook

	[Install]
	WantedBy=default.target

	/**
	* IE 5.5+, Firefox, Opera, Chrome, Safari XHR object
	*
	* @param string url
	* @param object callback
	* @param mixed data
	* @param null x
	*/
	function ajax(url, callback, data, x) {
	try {

	import json
	from pyspark.sql.types import *

	# Define the schema
	schema = StructType(
	[StructField("name", StringType(), True), StructField("age", IntegerType(), True)]
	)

	# Write the schema
	with open("schema.json", "w") as f:

	#! /usr/bin/env python

	import redis
	import random
	import pylibmc
	import sys

	r = redis.Redis(host = 'localhost', port = 6389)
	mc = pylibmc.Client(['localhost:11222'])