mdaniel

# coding=utf-8
"""
Demonstrates how a [Mapped Diagnostic Context](http://logback.qos.ch/manual/mdc.html)
of log4j MDC fame (and also provided in slf4j) could be implemented in Python
"""
import json
import logging
import sys
import threading

chibat

package hello;

import javax.sql.DataSource;

import jp.sf.amateras.mirage.SqlManager;
import jp.sf.amateras.mirage.SqlManagerImpl;
import jp.sf.amateras.mirage.dialect.HyperSQLDialect;
import jp.sf.amateras.mirage.integration.spring.SpringConnectionProvider;

import org.apache.commons.dbcp.BasicDataSource;

kilaka

	public static void runServer() {
		try {
			MulticastSocket s = new MulticastSocket(4446);
			InetAddress group = InetAddress.getByName("224.0.0.10");
			s.joinGroup(group);
			byte[] data = new byte[100];
			DatagramPacket datagramPacket = new DatagramPacket(data, data.length);
			s.receive(datagramPacket);
			Log.i("Received: " + data);
			return;

balupton

Node.js Best Practice Exception Handling

Code examples from this stack overflow answer.

edwardbeckett

sourceSets {
    generated {
        java {
            srcDirs = ['src/main/generated']
        }
    }
}

configurations {
    querydslapt

briancavalier

Hello wire in node.js

1. mkdir hello-wire
2. cd hello-wire
3. npm install wire
4. Create main.js and spec.js as per the files in this gist.
5. node main.js

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD