hugozhu

public class PriorityTaskExecutor extends ThreadPoolExecutor {

    public PriorityTaskExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
        super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
    }

    public <T> List<Future<T>> invokeAllWithPriority(Collection<? extends Callable<T>> tasks,
                                         long timeout, TimeUnit unit)
        throws InterruptedException {
        if (tasks == null || unit == null)

hugozhu

func callA() string {
	time.Sleep(time.Millisecond * 300)
	return "Hello A"
}

func callB() string {
	time.Sleep(time.Millisecond * 100)
	return "Hello B"
}

fxsjy

//author: Sun, Junyi (weibo.com/treapdb)
//usage: node --nouse-idle-notification --expose-gc --max-old-space-size=8192 memcached.js

var config ={
  port: 11211,
  max_memory: 300 // default 100M bytes
}

var net = require('net');
var LRU = function (max) { // this LRU implementaion is based on https://github.com/chriso/lru

usamadar

/*
 * To change this template, choose Tools | Templates
 * and open the template in the editor.
 */
package com.example.http.authenticate;

import java.io.*;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.HashMap;

jcaraballo

#Create bitbucket branch

##Create local branch

$ git checkout -b sync
Switched to a new branch 'sync'
$ git branch
  master
* sync

DavidWittman

A Brief Introduction to Fabric

Fabric is a deployment management framework written in Python which makes remotely managing multiple servers incredibly easy. If you've ever had to issue a change to a group servers, this should look pretty familiar:

for s in $(cat servers.txt); do ssh $s service httpd graceful; done

Fabric improves on this process by providing a suite of functions to run commands on the servers, as well as a number of other features which just aren't possible in a simple for loop. While a working knowledge of Python is helpful when using Fabric, it certainly isn't necessary. This tutorial will cover the steps necessary to get started with the framework and introduce how it can be used to improve on administering groups of servers.

chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

nandub

import com.google.protobuf.DescriptorProtos;
import com.google.protobuf.Descriptors;
import com.google.protobuf.DynamicMessage;
import com.google.protobuf.Message;

import java.util.HashMap;

/**
 * ProtobufEnvelope - allows creating a protobuf message without the .proto file dynamically.
 *