ES Restful API GET, POST, PUT, DELETE, HEAD meaning:
1) GET: gets the current state of the request object.
2) POST: changes the current state of the object.
3) PUT: create an object.
4) DELETE: destroy the object.
5) HEAD: request to get the basic information of the object.

The new document in ES (under Index/type) is equivalent to inserting a row of data in Mysql (under the Table of a Database).

1, New document (similar to mysql insert)

http://localhost:9200/blog/ariticle/1 put
{
"title":"New version of Elasticsearch released!",
"content":"Version 1.0 released today!",
"tags":["announce","elasticsearch","release"]
}

The creation is successful as follows:

{
 "_index": "blog",
 "_type": "ariticle",
 "_id": "1 -d",
 "_version": 1,
 "_shards": {
     "total": 2,
     "successful": 1,
     "failed": 0
 },
 "created": true
}

2. Retrieve documents (similar to mysql search search select * operation)

http://localhost:9200/blog/ariticle/1/ GET
The search results are as follows:

{
 "_index": "blog",
 "_type": "ariticle",
 "_id": "1",
 "_version": 1,
 "found": true,
 "_source": {
     "title": "New version of Elasticsearch released!",
     "content": "Version 1.0 released today!",
     "tags": [
         "announce","elasticsearch","release"
     ]
 }
}

Prompt if not found:

{
 "_index": "blog",
 "_type": "ariticle",
 "_id": "11",
 "found": false
}

Query all documents as follows:

Search for specific details,
Query example 1: query the cotent column to contain version 1.0 information.
http://localhost:9200/blog/_search?pretty&q=content:1.0

{
- "took": 2,
- "timed_out": false,
- "_shards": {
    - "total": 5,
    - "successful": 5,
    - "failed": 0
- },
- "hits": {
    - "total": 1,
    - "max_score": 0.8784157,
    - "hits": [
        - {
            - "_index": "blog",
            - "_type": "ariticle",
            - "_id": "6",
            - "_score": 0.8784157,
            - "_source": {
                - "title": "deep Elasticsearch!",
                - "content": "Version 1.0!",
                - "tags": [
                    - "deep"
                    - ,
                    - "elasticsearch"
                - ]
            - }
        - }
    - ]
- }
}

Query example 2: query the data information of the "enhance" field in the title of the book:
[root@5b9dbaaa1a ~]# curl -XGET 10.200.1.121:9200/blog/ariticle/_search?pretty -d '

> { "query" : {
> "term" :
> {"title" : "enhance" }
> }
> }'
{
  "took" : 189,
  "timed_out" : false,
  "_shards" : {
  "total" : 5,
  "successful" : 5,
  "failed" : 0
  },
  "hits" : {
  "total" : 2,
  "max_score" : 0.8784157,
  "hits" : [ {
  "_index" : "blog",
  "_type" : "ariticle",
  "_id" : "4",
  "_score" : 0.8784157,
  "_source" : {
  "title" : "enhance Elasticsearch!",
  "content" : "Version 4.0!",
  "tags" : [ "enhance", "elasticsearch" ]
  }
  }, {
  "_index" : "blog",
  "_type" : "ariticle",
  "_id" : "5",
  "_score" : 0.15342641,
  "_source" : {
  "title" : "enhance Elasticsearch for university!",
  "content" : "Version 5.0!",
  "tags" : [ "enhance", "elasticsearch" ]
  }
  } ]
  }
}

Query example 3: query data information with ID value of 3,5,7:
[root@5b9dbaaa148a ~]# curl -XGET 10.200.1.121:9200/blog/ariticle/_search?pretty -d '

{ "query" : {
"terms" :
{"_id" : [ "3", "5", "7" ] }
}
}'
{
  "took" : 5,
  "timed_out" : false,
  "_shards" : {
  "total" : 5,
  "successful" : 5,
  "failed" : 0
  },
  "hits" : {
  "total" : 3,
  "max_score" : 0.19245009,
  "hits" : [ {
  "_index" : "blog",
  "_type" : "ariticle",
  "_id" : "5",
  "_score" : 0.19245009,
  "_source" : {
  "title" : "enhance Elasticsearch for university!",
  "content" : "Version 5.0!",
  "tags" : [ "enhance", "elasticsearch" ]
  }
  }, {
  "_index" : "blog",
  "_type" : "ariticle",
  "_id" : "7",
  "_score" : 0.19245009,
  "_source" : {
  "title" : "deep Elasticsearch for university!",
  "content" : "Version 2.0!",
  "tags" : [ "deep", "elasticsearch", "university" ]
  }
  }, {
  "_index" : "blog",
  "_type" : "ariticle",
  "_id" : "3",
  "_score" : 0.19245009,
  "_source" : {
  "title" : "init Elasticsearch for university!",
  "content" : "Version 3.0!",
  "tags" : [ "initialize", "elasticsearch" ]
  }
  } ]
  }
}

3. Update document (similar to mysql update operation)

http://localhost:9200/blog/ariticle/1/_update/ POST
{"script":"ctx._source.content = \"new version 2.0 20160714\""}

The results show that:

{
    "_index": "blog",
    "_type": "ariticle",
    "_id": "1",
    "_version": 2,
    "_shards": { 
        "total": 2,
        "successful": 1,
        "failed": 0
    }
}

Query & verify the updated results: (by comparison, the version number has been updated.)
http://localhost:9200/blog/ariticle/1/

{

- "_index": "blog",
- "_type": "ariticle",
- "_id": "1",
- "_version": 2,
- "found": true,
- "_source": {
    - "title": "New version of Elasticsearch released!",
    - "content": "new version 2.0 20160714",
    - "tags": [
        - "announce"
        - ,
        - "elasticsearch"
        - ,
        - "release"
    - ]
- }

}

Note that to update the document, you need to add the following under elasticsearch \ win \ config \ elasticsearch.yml:

script.groovy.sandbox.enabled: true 
script.engine.groovy.inline.search: on 
script.engine.groovy.inline.update: on 
script.inline: on 
script.indexed: on 
script.engine.groovy.inline.aggs: on 
index.mapper.dynamic: true

4. Delete document (similar to mysql delete operation)

http://localhost:9200/blog/ariticle/8/ Return result

{

- "found": true,
- "_index": "blog",
- "_type": "ariticle",
- "_id": "8",
- "_version": 2,
- "_shards": {
    - "total": 2,
    - "successful": 1,
    - "failed": 0
- }

}