ElasticSearch 개념정리

ElasticSearch / Relation DB 을 이용한 개념 비교

doc1
"car" : {
"color" : "red",
"kind" : "sonata"
}

doc2
"car" : {
"color" : "red",
"kind" : "K5"
}

doc3
"car" : {
"color" : "yellow",
"kind" : "K5"
}

doc4
"car" : {
"color" : "blue",
"kind" : "K7"
}

1. ElasticSearch 저장구조

text	document
red	doc1, doc2
yellow	doc3
K5	doc2, doc3
K7	doc4

2. ElasticSearch 와 Relation DB 저장구조 비교
2-1) ElasticSearch 구조

text	document
red	doc1, doc2
yellow	doc3
K5	doc2, doc3

2-2) Relation DB 구조

document	context
doc1	"car" : { "color" : "red", "kind" : "sonata" }
doc2	"car" : { "color" : "red", "kind" : "K5" }

3. ElasticSearch 자료구조

Elastic Search	Relation DB
INDEX	DATABASE
TYPE	TABLE
Document	ROW
Field	Column
Mapping	Schema

4. ElasticSearch Schema

Elastic Search	Relation DB
GET	SELECT
PUT	UPDATE
POST	INSERT
DELETE	DELETE

5. ElasticSearch 명령어
SELECT : curl -XGET localhost:9200/classes/class/1
SAVE : curl -XPOST localhost:9200/classes/class/1 -d '{xxx}'
UPDATE : curl -XPUT localhost:9200/classes/class/1 -d '{xxxx}'
DELETE : curl -XDELETE localhost:9200/classes/class/1