eusouodaniel

apiVersion: v1
kind: Pod

metadata:
  name: user-service
  namespace: app

spec:
  containers:
    - name: user-service

eusouodaniel

package com.ratingMovie.spark

import org.apache.spark.SparkContext

object SparkCountRating {

    def main(args: Array[String]): Unit = {

        val sparkContext = new SparkContext("local[*]", "SparkCountRating")
        var data = sparkContext.textFile("ratings.csv")

eusouodaniel

from pyspark import SparkContext, SparkConf

config = SparkConf().setAppName("WordCount")
sparkContext = SparkContext.getOrCreate()

content = sc.textFile("words.txt")
filter_empty_lines = content.filter(lambda x: len(x) > 0)
words = filter_empty_lines.flatMap(lambda x: x.split(' '))
counts = words.map(lambda x:(x,1)).reduceByKey(lambda x, y: x + y).map(lambda x: (x[1], x[0])).sortByKey(False)

eusouodaniel

db.airbnb.find({"$and":[{"reviews.comments":
                            {"$regex": '/best place tobe/'}},
                            {"name": {"$regex": 'Cobertura'}},
                            {"reviews.comments": {"$regex": 'Lugar muito aconchegante'}},
                            {"reviews.comments": {"$regex": 'Ótimo host'}},
                            {"host_location": {"$regex": 'São Paulo'}},
                            {"host_response_time": {"$regex": 'hour'}},
                            ]}
                ).pretty()

eusouodaniel

FROM node:10-alpine as buildContainer

RUN ["mkdir", "/app"]

WORKDIR /app

COPY package.json /app

RUN ["npm", "install"]

eusouodaniel

function run(value) {
    var message = '';

    [].map.call(value, function (character) {
      message += cripty(character);
    });

    return message;
}