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#!/bin/sh

# one way (older scala version will be installed)
# sudo apt-get install scala

#2nd way
sudo apt-get remove scala-library scala
wget http://www.scala-lang.org/files/archive/scala-2.11.4.deb
sudo dpkg -i scala-2.11.4.deb
sudo apt-get update

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import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.node.Node;

import java.io.IOException;
import java.util.Date;

import static org.elasticsearch.node.NodeBuilder.*;
import static org.elasticsearch.common.xcontent.XContentFactory.*;

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how-to: Scala for INtellij installation:

http://stackoverflow.com/questions/9563342/how-to-run-scala-code-on-intellij-idea-11
--------------------------------------------------------------------------------

how-to: create IntelliJ Idea project from existing github project:

git clone <scala_project_from_git_built with_sbt>

cd <to project root>

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sbt
gen-idea no-sbt-build-module 
/*This will enable IntelliJ's default building mechanism for Scala, which won't cause these problems.*/

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select numerator.x, numerator.num/denominator.denom, numerator.y, numerator.z, numerator.t
(select sum(x) as num, x, y, z, t from table group by x, y, z, t) numerator
join
(select sum(x) as denom, y, z, t from table group by y,z,t) denominator
on (numerator.y=denominator.y and numerator.z=denominator.z and numerator.t=denominator.t)

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# encoding: utf-8

'''
Script to convert the weltmodell into the conceptnet.

@author: Michael A. Huelfenhaus
'''
import sys
import csv
import hashlib

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import scala.util.parsing.json._

val result = JSON.parseFull("""
  {"name": "Naoki",  "lang": ["Java", "Scala"]}
""")

result match {
  case Some(e) => println(e) // => Map(name -> Naoki, lang -> List(Java, Scala))
  case None => println("Failed.")
}

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1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

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package de.bhtb.data.formats;

import com.google.gson.Gson;
import com.google.gson.JsonElement;
import com.google.gson.JsonObject;

import java.net.URL;
import java.util.Scanner;