provegard

#!/usr/bin/python

# Python program that can send out M-SEARCH messages using SSDP (in server
# mode), or listen for SSDP messages (in client mode).

import sys
from twisted.internet import reactor, task
from twisted.internet.protocol import DatagramProtocol

SSDP_ADDR = '239.255.255.250'

9b

#!/usr/bin/python

def poorMansConvert(di, inPath, outType, outPath):
  from apiclient.http import MediaFileUpload

	valid_output = [
		'text/html','text/plain','application/rtf','application/vnd.oasis.opendocument.text',\
		'application/pdf','application/vnd.openxmlformats-officedocument.wordprocessingml.document',\
		'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet','application/x-vnd.oasis.opendocument.spreadsheet',\
		'image/jpeg','image/png','image/svg+xml','application/vnd.openxmlformats-officedocument.presentationml.presentation'	

ambakshi

#!/bin/bash
#
# Assume the given role, and print out a set of environment variables
# for use with aws cli.
#
# To use:
#
#      $ eval $(./iam-assume-role.sh)
#

vrivellino

console.log('Loading function');

var AWS = require('aws-sdk'),
    s3 = new AWS.S3(),
    s3Bucket = 'archive-bucket',
    s3Prefix = 'kinesis-archive-test',
    s3Partitions = 2;

exports.handler = function (event, context) {
  //console.log(JSON.stringify(event, null, 2));

epiphani

So Hive in CDH is horribly, painfully slow. Cloudera ships Hive 1.1, which is actually moderately modern. It is, however, very badly configured out of the box and patched with custom code from Cloudera. With a bit of effort, we managed to improve hive performance considerably. We really shouldn't have to do this, but Cloudera is actively working against supporting a performant Hive.

First, building Tez was fairly straightforward. Using the instructions at https://github.com/apache/tez/blob/master/docs/src/site/markdown/install.md, the only change was to use the version string "2.6.0" for the build. I believe that was the default. Don't use the CDH string, it won't work.

At the bottom of the installation instructions, there's mention of the fact that to use the local hadoop jars (rather than those packaged with tez) you must unpack the jars in HDFS rather than using the tarball. In this case, unpack the tez-minimal tarball and upload the contents to /apps/tez-0.7.0 (or whatever you prefer). Don't fo

alfredkrohmer

Physical layer

The dongle itself is sending out data using 802.11a (5 GHz WiFi) with OFDM and 6 Mbit/s data rate:

Radiotap Header v0, Length 38
    Header revision: 0
    Header pad: 0
    Header length: 38
    Present flags

linar-jether

from flask import Flask, request, jsonify, json, abort
from flask_cors import CORS, cross_origin

import pandas as pd

app = Flask(__name__)

cors = CORS(app)
app.config['CORS_HEADERS'] = 'Content-Type'

eridal

function merge (into, object) {
  Object
    .keys(object)
    .forEach(k => {
      let val = object[k]
      if (val){
        if (Array.isArray(val)) {
          into[k] = [].concat(into[k] || [], val)
        }
        else if (typeof val === 'object') {