Delphi Kuo delphi1989

Prerequisite: latest Docker for Mac on MacOS Sierra

$ brew update
$ brew install --HEAD xhyve
$ brew install docker-machine-driver-xhyve
$ sudo chown root:wheel $(brew --prefix)/opt/docker-machine-driver-xhyve/bin/docker-machine-driver-xhyve
$ sudo chmod u+s $(brew --prefix)/opt/docker-machine-driver-xhyve/bin/docker-machine-driver-xhyve

$ curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.18.0/minikube-darwin-amd64 &amp;&amp; chmod +x minikube &amp;&amp; sudo mv minikube /usr/local/bin/

All Your Data Does Not Belong In a Database

Businesses are machines producing mountains of data about sales, usage, customer, costs, etc... Traditionally data processing is highly centralised with teams of staff and computer running hot a whirling ready to process. We can do better than moving the mountain of data into the corporate data machine - so long as that machinary is light enough to be moved to the data.

Don't move the mountain - Bring the processing to the data

We've had this problem; a huge directory of files in CSV format, conataining vital information for our business. But it's in CSV, requires analysis, and don't you don't feel like learning sed/grep/awk today - besides it's 2017 and no-one thinks those tools are easy to use.

These set of scripts are for Magento 2. For Magento 1, see this Gist.

	/**
	* Creates a read/writable property which returns a function set for write/set (assignment)
	* and read/get access on a variable
	*
	* @param {Any} value initial value of the property
	*/
	function createProperty(value) {
	var _value = value;

	/**

	area_data = {
	'臺北市': [
	'中正區', '大同區', '中山區', '萬華區', '信義區', '松山區', '大安區', '南港區', '北投區', '內湖區', '士林區', '文山區'
	],
	'新北市': [
	'板橋區', '新莊區', '泰山區', '林口區', '淡水區', '金山區', '八里區', '萬里區', '石門區', '三芝區', '瑞芳區', '汐止區', '平溪區', '貢寮區', '雙溪區', '深坑區', '石碇區', '新店區', '坪林區', '烏來區', '中和區', '永和區', '土城區', '三峽區', '樹林區', '鶯歌區', '三重區', '蘆洲區', '五股區'
	],
	'基隆市': [
	'仁愛區', '中正區', '信義區', '中山區', '安樂區', '暖暖區', '七堵區'
	],

	# import config.
	# You can change the default config with `make cnf="config_special.env" build`
	cnf ?= config.env
	include $(cnf)
	export $(shell sed 's/=.*//' $(cnf))

	# import deploy config
	# You can change the default deploy config with `make cnf="deploy_special.env" release`
	dpl ?= deploy.env
	include $(dpl)

	#!/bin/bash

	function gateFile(){

	for file in $1
	do
	if [ -d "${file}" ]
	then
	gateFile "${file}/*"
	fi

	//updated for 2.0.0-preview-11

	import java.io.ByteArrayInputStream;
	import java.net.URI;
	import java.time.Duration;
	import java.time.Instant;
	import java.util.Optional;

	import software.amazon.awssdk.auth.signer.AwsS3V4Signer;
	import software.amazon.awssdk.auth.signer.internal.AwsSignerExecutionAttribute;

	CALL CSVWRITE('/home/<user>/downloads/<table_name>'.csv', 'SELECT * FROM <table_name>', 'charset=UTF-8 fieldSeparator=;');

	Without field delimiter "
	CALL CSVWRITE('/home/<user>/downloads/<table_name>'.csv', 'SELECT * FROM <table_name>', 'charset=UTF-8 fieldSeparator=; fieldDelimiter=');

	[
	{
	"districts": [
	{
	"zip": "100",
	"name": "中正區"
	},
	{
	"zip": "103",
	"name": "大同區"