ksseono

NAVER DEVIEW 2017 Slides

• 키노트 영상

DAY 1

• Open, Share, Enjoy : 네이버의 오픈소스 활동 (영상)
• 책 읽어주는 딥러닝: 배우 유인나가 해리포터를 읽어준다면 (데모, 소스코드, 영상)
• Chromium Binding 기술을 활용하여 Node.js와 네이티브 모듈 우아하게 연동하기 (영상)

bernhardschaefer

#!/bin/bash

# Minimum TODOs on a per job basis:
# 1. define name, application jar path, main class, queue and log4j-yarn.properties path
# 2. remove properties not applicable to your Spark version (Spark 1.x vs. Spark 2.x)
# 3. tweak num_executors, executor_memory (+ overhead), and backpressure settings

# the two most important settings:
num_executors=6
executor_memory=3g

irgeek

#!/bin/sh
BOOT2DOCKER_CERTS_DIR=/var/lib/boot2docker/certs
CERTS_DIR=/etc/ssl/certs
CAFILE=${CERTS_DIR}/ca-certificates.crt

for cert in $(/bin/ls -1 ${BOOT2DOCKER_CERTS_DIR}); do
    SRC_CERT_FILE=${BOOT2DOCKER_CERTS_DIR}/${cert}
    CERT_FILE=${CERTS_DIR}/${cert}
    HASH_FILE=${CERTS_DIR}/$(/usr/local/bin/openssl x509 -noout -hash -in ${SRC_CERT_FILE} 2>/dev/null)

samklr

def dotProduct(vector: Array[Int], matrix: Array[Array[Int]]): Array[Int] = { 
    // ignore dimensionality checks for simplicity of example 
    (0 to (matrix(0).size - 1)).toArray.map( colIdx => { 
        val colVec: Array[Int] = matrix.map( rowVec => rowVec(colIdx) ) 
        val elemWiseProd: Array[Int] = (vector zip colVec).map( entryTuple => entryTuple._1 * entryTuple._2 ) 
        elemWiseProd.sum 
    } )
}
 
 

crowdmatt

Setting up Flume NG, listening to syslog over UDP, with an S3 Sink

My goal was to set up Flume on my web instances, and write all events into s3, so I could easily use other tools like Amazon Elastic Map Reduce, and Amazon Red Shift.

I didn't want to have to deal with log rotation myself, so I setup Flume to read from a syslog UDP source. In this case, Flume NG acts as a syslog server, so as long as Flume is running, my web application can simply write to it in syslog format on the specified port. Most languages have plugins for this.

At the time of this writing, I've been able to get Flume NG up and running on 3 ec2 instances, and all writing to the same bucket.

Install Flume NG on instances

drewolson

package main

import (
	"fmt"
	"reflect"
)

type Foo struct {
	FirstName string `tag_name:"tag 1"`
	LastName  string `tag_name:"tag 2"`

benelog

예제

예제 위치

• SVN : https://dev.naver.com/svn/naverapis/trunk/naver-java-client-samples/
  • ID : anonsvn
  • Password : anonsvn
• Maven 프로젝트
  • Checkout후 mvn eclipse:eclipse로 이클립스 프로젝트 생성

공통 모듈

keesun

package me.whiteship.board.modules.servlet.async;

import javax.servlet.AsyncContext;
import javax.servlet.AsyncEvent;
import javax.servlet.AsyncListener;
import javax.servlet.ServletException;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

spudtrooper

#!/bin/sh
#
# Transforms a jar file into source and outputs source files to 'src'.
# Example:
#
#   jar2java foo.jar  ; --> source to 'src'
#
# After you can run javadoc on these files, e.g.
#
#   javadoc -classpath foo.jar -d api `find src -name "*.java"`