elasticsearch self-study notes

1. Simple use: (versions 6.x and 7.x have differences in building type, take version 7 as an example)

1. Build an index named web_user:

PUT localhost:9200/web_user

{
  "mappings": {
    "properties": {
      "name": { "type": "text" },
      "user_name": { "type": "keyword" },
      "email": { "type": "keyword" },
      "tweeted_at": {
        "type": "date",
        "format": "yyyy-MM-dd HH:mm:ss || yyyy-MM-dd || yyyy/MM/dd HH:mm:ss|| yyyy/MM/dd ||epoch_millis"
      }
    }
  }
}

2. Insert data:
POST localhost:9200/web_user/_doc/ (Id is automatically generated and needs to be submitted by post), if you add the parameter ?op_type=create, an error will be reported if it fails.

{
  "name": "lisi",
  "user_name": "zhangsan",
  "email": "[email protected]",
  "tweeted_at": "2019-08-20"
}

PUT localhost:9200/web_user/_doc/1 (specify id, update if it exists)
 

3. Update data:
POST localhost:9200/web_user/_doc/1/_update

{
  "doc": {
    "name": "lisi",
    "user_name": "zhangsanmodify",
    "email": "[email protected]",
    "tweeted_at": "2019-08-20"
  }
}

4. Delete data:

DELETE localhost:9200/web_user/_doc/1

5. View all data:
localhost:9200/web_user/_doc/_search

6. Update index type

6.1: Use scroll to query cursors, use  bulk api  to create new indexes and rebuild field indexes.

6.2: Use index aliases to easily replace indexes

6.3: After es5, use reindex

https://blog.csdn.net/weixin_37703281/article/details/91049175