Study16 README Contents

Research the Elasticsearch with the Kibana

The flowchart with Elasticsearch and Kibana.

The guides:

• Elasticsearch Java API Client
• Kibana

The sections of this project:

1. Elasticsearch and Kibana Launch
2. Elasticsearch Client Queries
3. Kibana Console Queries

Java source code:

kp

The model object 'Box' class diagram.

Java API Documentation

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❶ Elasticsearch and Kibana Launch

Action:

1. With the batch file '01 Docker Elastic pull and run.bat' start the Docker container with Elasticsearch
2. With the batch file '02 Docker Kibana pull and run.bat' start the Docker container with Kibana
3. Take the enrolment token for Kibana from the console log (in the Docker 'elasticsearch' container).
4. Take the password from the console log (in the Docker 'elasticsearch' container).
5. With this password and user 'elastic' log in to Kibana 'http://localhost:5601/app/home#/'.
6. With this password replace the 'ELASTIC_PASSWORD' value in the file '03 MVN clean install run.bat'.
7. With the command 'cat config/certs/http_ca.crt' get the certificate content from the 'elasticsearch' container.
8. With that certificate replace the content of the certificate file 'resources\http_ca.crt'.

1.1. The Docker containers.

The screenshot of the created Docker containers.

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❷ Elasticsearch Client Queries

Action:

1. With the batch file '03 MVN clean install run.bat' build and run the 'Application'.

2.1. The big file 'dataset.json' (about 800 KB) was created in Solr project 'Study15'. In that creation process were scanned the files from the 'Projects'. Those files were filtered with the 'Keywords'.

In the method 'Application::main' the application for the elastic search client:

• recreates the index with the name 'kp_study'
• adds the 'Box' objects from the file 'dataset.json'
• searches with the query

The method for recreating the index: 'KpService::recreateIndex'.
The method for creating and adding the 'Box' objects: 'KpService::addBoxesFromFile'.
The method for searching with the query: 'KpService::searchWithQuery'.

The screenshot of the console log from the run of the 'Application'.

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❸ Kibana Console Queries

First Query	GET kp_study
Second Query	GET kp_study/_search {  "query" : {   "match" : {    "keyword" : "sonar"   }  } }

Action:

1. With the URL 'http://localhost:5601/app/home#/' log in to the Kibana.
2. From the left side menu select the item "Management" / "Dev Tools".
3. Run in the Kibana console the first query and the second query.

3.1. The results of the first query.

The screenshot of the results fragment in the Kibana console.

3.2. The results of the second query.
The screenshot of the results in the Kibana console.

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Data Visualization in Kibana

Pie Chart	screenshot
Tree Map	screenshot
Bar Vertical Stacked	screenshot
Bar Horizontal	screenshot

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Projects

Miscellany
Study01	Study02	Study03	Study04	Study05
Study06	Study07	Study08	Study09	Study10
Study11	Study12	Study13	Study14
	Study17	Study18	Study19	Study20

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Keywords

@component	@controller	@document	@ejb	@entity	@getmapping	@inject	@messagedriven
@mockbean	@namedquery	@postmapping	@restcontroller	@springbootapplication	@springboottest	@stateless	@test
@transactional	@webmvctest	activemq	angularjs	asynchronous	bayes	camunda	cdi
checksum	circuitbreaker	collator	comparable	comparator	completablefuture	credentials	criteriaquery
cryptography	curl	cyclicbarrier	database	decrypt	docker	ellipticcurvecryptography	encrypt
entitymanager	entitymodel	flux	hateoas	jaxb	jboss	jpa	jquery
jsf	kafka	mapstruct	mockito	mockmvc	mongodb	mono	openapi
orchestration	patriciatrie	postgresql	reactive	reactivemongorepository	redis	restful	resttemplate
securerandom	soap	sonar	sonarqube	spotlight	spring	sslsocket	swagger
teeing	testresttemplate	thymeleaf	webclient	webflux	weld	wildfly	zoneddatetime

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