skhatri

plugins {
    id("java")
}

java {
    sourceCompatibility = JavaVersion.VERSION_17
    targetCompatibility = JavaVersion.VERSION_17
}

buildscript {

skhatri

#create CA cert and self sign
if [[ ! -d ca ]];
then
  mkdir ca
  openssl genrsa -out ca/ca.key 2048
  openssl req -new -x509 -key ca/ca.key -out ca/ca.crt -subj "/C=AU/ST=NSW/L=Sydney/O=Software Company/OU=IT/CN=ca"
fi;


cert=${1:-localhost}

skhatri

def getDependencyList(org.gradle.api.Project proj, String configName) {
    def dep = []
    def dd = new HashSet<String>()
    proj.configurations.all { cf ->
        if (cf.canBeResolved && cf.name == configName) {
            cf.incoming.each { p ->
                p.dependencies.each { dt ->
                    dd.add("$dt.group:$dt.name:$dt.version".toString())
                    dep << [group: dt.group, name: dt.name, version: dt.version, transitive: false]
                }

skhatri

create keyspace pokedex with replication = {
  'class': 'NetworkTopologyStrategy',
  'dc1': 1
};

drop table if exists pokedex.pokemons;

create table pokedex.pokemons(
  name text,
  primary_type text,

skhatri

gradle.taskGraph.whenReady { tg ->
    configurations.all { cf ->
        if (cf.canBeResolved && cf.name == "runtimeClasspath") {
            cf.incoming.each { p ->
                println(p.name)
                //resolved artifact dependency
                p.artifacts.each { at ->
                    println(at.id.componentIdentifier)
                }
                //direct dependency

skhatri

With RDD

    val sc = new SparkContext(new SparkConf()
                                .setAppName("word-count-rdd").setMaster("local[1]")
                                .set("spark.driver.ip", "127.0.0.1")
            )

    sc.textFile(path).flatMap(line => line.toLowerCase().split(" "))
    .map(w => (w, 1))
    .reduceByKey((v1, v2) => v1 + v2)

skhatri

package main

import (
  "fmt"
  "math/rand"
  "time"
)

func main() {
  rand.Seed(time.Now().UnixNano())

skhatri

FROM tensorflow/tensorflow:latest-gpu-jupyter
RUN python3 -m pip install --upgrade pip && pip3 install graphviz pandas sklearn && echo '{"NotebookApp": {"nbserver_extensions": {"jupyter_http_over_ws": true},"password": "sha1:92cf1ff5134d:eecd093c46b3b5b98285ab0238ebe929e640b2a8"}}' |tee /root/.jupyter/jupyter_notebook_config.json

skhatri

FROM azul/zulu-openjdk-alpine:11.0.7
LABEL base=alpine engine=jvm version=java11 timezone=UTC port=8080 dir=/opt/app user=app

RUN apk update && apk add --no-cache tzdata curl bash && rm -rf /var/cache/apk/*
ENV TZ=UTC
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone

EXPOSE 8080

RUN mkdir -p /opt/app && ln -s /opt/app /lib 

skhatri

FROM registry.access.redhat.com/ubi8/ubi-minimal
LABEL base=ubi8 engine=jvm version=java11 timezone=UTC port=8080 dir=/opt/app user=app

RUN microdnf install java-11-openjdk-headless openssl hostname bash curl tzdata shadow-utils && microdnf clean all
ENV JAVA_HOME=/usr/lib/jvm/jre-11

ENV TZ=UTC
RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone

EXPOSE 8080