dhanji

-Xmx10g
m2.xlarge (4 virtual cores)

Both Jetty and Netty execute the same code--generate 8k of random bits and compute a sha1, returning it over the wire.

INTERNAL (Benchmark tool runs on same machine)
--------

Jetty:

JaviLorbada

Videos

• Introduction to Functional Programming Johannes Weiß - https://vimeo.com/100786088
• ReactiveCocoa at MobiDevDay Andrew Sardone - https://vimeo.com/65637501
• The Future Of ReactiveCocoa Justin Spahr-Summers - https://www.youtube.com/watch?v=ICNjRS2X8WM
• Enemy of the State Justin Spahr-Summers - https://www.youtube.com/watch?v=7AqXBuJOJkY
• WWDC 2014 Session 229 - Advanced iOS Application Architecture and Patterns Andy Matuschak - https://developer.apple.com/videos/play/wwdc2014/229/
• Functioning as a Functionalist Andy Matuschak - https://www.youtube.com/watch?v=rJosPrqBqrA
• Controlling Complexity in Swift Andy Matuschak - https://realm.io/news/andy-matuschak-controlling-complexity/

staltz

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.

---

denji

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)

tonyseek

import re


def convert_string_template(string):
    index = -1
    def repl(matched):
        nonlocal index
        keyword = matched.group(1)
        if keyword:
            return "{%s}" % keyword.strip('()')

steipete

// Taken from http://PSPDFKit.com. This snippet is under public domain.
#define UIKitVersionNumber_iOS_7_0 0xB57
BOOL PSPDFIsUIKitFlatMode(void) {
    static BOOL isUIKitFlatMode = NO;
    static dispatch_once_t onceToken;
    dispatch_once(&onceToken, ^{
        // We get the modern UIKit if system is running >= iOS 7 and we were linked with >= SDK 7.
        if (kCFCoreFoundationVersionNumber >= kCFCoreFoundationVersionNumber_iOS_7_0) {
            isUIKitFlatMode = (NSVersionOfLinkTimeLibrary("UIKit") >> 16) >= UIKitVersionNumber_iOS_7_0;
        }

gimenete

#import <Foundation/Foundation.h>

@interface UIView (ActivityIndicator)

- (void)showActivityIndicator;
- (void)showActivityIndicatorWithStyle:(UIActivityIndicatorViewStyle)style;
- (void)hideActivityIndicator;

@end

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

Jud

/*****************************************************************************
 *                QuantCup 1:   Price-Time Matching Engine
 *
 * Submitted by: voyager
 * 
 * Design Overview:
 *   In this implementation, the limit order book is represented using 
 *   a flat linear array (pricePoints), indexed by the numeric price value. 
 *   Each entry in this array corresponds to a specific price point and holds 
 *   an instance of struct pricePoint. This data structure maintains a list 

duydo

If you want, I can try and help with pointers as to how to improve the indexing speed you get. Its quite easy to really increase it by using some simple guidelines, for example:

- Use create in the index API (assuming you can).
- Relax the real time aspect from 1 second to something a bit higher (index.engine.robin.refresh_interval).
- Increase the indexing buffer size (indices.memory.index_buffer_size), it defaults to the value 10% which is 10% of the heap.
- Increase the number of dirty operations that trigger automatic flush (so the translog won't get really big, even though its FS based) by setting index.translog.flush_threshold (defaults to 5000).
- Increase the memory allocated to elasticsearch node. By default its 1g.
- Start with a lower replica count (even 0), and then once the bulk loading is done, increate it to the value you want it to be using the update_settings API. This will improve things as possibly less shards will be allocated to each machine.
- Increase the number of machines you have so