doogle-oss

/*
 * University Data App
 * Description: This Java program retrieves university data from a REST API, performs analysis, and prints results.
 * Author: Your Name
 */

package org.doogle;

import java.io.BufferedReader;
import java.io.IOException;

doogle-oss

If using cmder do use a custom shell executable to run tasks else you might find source file not found issue.

"windows": {
    "options": {
      "shell": {
        "executable": "cmd.exe",
        "args": [
          "/d", "/c", "[cmder_root]\\vendor\\init.bat", "&&"
 ]

doogle-oss

[filter "lfs"]
	required = true
	clean = git-lfs clean -- %f
	smudge = git-lfs smudge -- %f
	process = git-lfs filter-process
[user]
	name = DDDD PPPP
	email = [email protected]
[core]
	autocrlf = Input

doogle-oss

Create a new db via mongosh or change to exisiting db.

use oreillylearning
switched to db oreillylearning
db
oreillylearning

db.books.insertOne({title: 'mastering oreilly mongoDB', isbn: 101})
db.books.find()

doogle-oss

===========================================================================================

get contexts

alias k=kubectl
k config get-context
k config current-context
echo " k config current-context" > /opt/course/1/context_default_kubectl.sh
chmod +x /opt/course/1/context_default_kubectl.sh
bash /opt/course/1/context_default_kubectl.sh
cat .kube/config | grep current

doogle-oss

package com.example.codecs;

import io.quarkus.kafka.client.serialization.ObjectMapperDeserializer;
import org.kie.kogito.event.process.ProcessInstanceDataEvent;

public class ProcessInstanceDataEventDeserializer extends ObjectMapperDeserializer<ProcessInstanceDataEvent> {
    public ProcessInstanceDataEventDeserializer() {
        super(ProcessInstanceDataEvent.class);
    }
}

doogle-oss

In MongoDB, we have to base our modeling on our application-specific data access patterns. Finding out the questions that our users will have is paramount to designing our entities. In contrast to an RDBMS, data duplication and denormalization are used far more frequently, for good reason.

Supported Data Types

The sorting order of different types of data, from highest to lowest, is as follows:
Max. key/Regular expression/Timestamp/Date/Boolean/ObjectID/Binary data/Array/string/Numbers/Null/Min. key

Schema Design

• Index early and often

doogle-oss

#!/bin/sh
 
# check for where the latest version of IDEA is installed
IDEA=`ls -1d /Applications/IntelliJ\ * | tail -n1`
wd=`pwd`

# were we given a directory?
if [ -d "$1" ]; then
#  echo "checking for things in the working dir given"
  wd=`ls -1d "$1" | head -n1`

doogle-oss

http -f https://graphqlapiurl/graphql Authorization:"Bearer accessToken" query="query { Process(id=\"test\") { id title } }"
http -f https://graphqlapiurl/graphql Authorization:"Bearer accessToken" query="mutation { Process(id=\"test\", title=\"testtitle\") { id title } }"

doogle-oss

kubectl get networkpolicy deny-metadata -o yaml
kubectl explain networkpolicy.spec.egress
kubectl explain networkpolicy.spec.egress.to
kubectl explain networkpolicy.spec.egress.to.ipBlock

kubectl run busybox --image=busybox --rm -it /bin/sh
wget https://www.google.co.in
kubectl create namespace test
kubectl run busybox --image=busybox --rm -it -n test /bin/sh