ElasticSearch（四）kibana实现CURD

一. kibana安装

1.到官网或是用brew下载kibana 安装包，这边我们选择在官网下载对应的安装包 https://www.elastic.co/cn/downloads/kibana

2.解压缩到对应的目录下，我们解压缩到了 /usr/local/kibana-6.5.2-darwin-x86_64

解压缩后的相关目录如下：

➜  kibana-6.5.2-darwin-x86_64 ls
LICENSE.txt  bin          node         package.json webpackShims
NOTICE.txt   config       node_modules plugins
README.txt   data         optimize     src

3.快速启动

cd 到对应的bin目录下，执行nohup sh kibana &

查看启动日志：

 {"type":"response","@timestamp":"2018-12-19T11:20:30Z","tags":[],"pid":8563,"method":"post","statusCode":200,"req":{"url":"/api/console/proxy?path=_template&method=GET","method":"post","headers":{"host":"localhost:5601","connection":"keep-alive","content-length":"0","accept":"text/plain, */*; q=0.01","origin":"http://localhost:5601","kbn-version":"6.5.2","user-agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36","referer":"http://localhost:5601/app/kibana","accept-encoding":"gzip, deflate, br","accept-language":"zh-CN,zh;q=0.9,en;q=0.8"},"remoteAddress":"::1","userAgent":"::1","referer":"http://localhost:5601/app/kibana"},"res":{"statusCode":200,"responseTime":22,"contentLength":9},"message":"POST /api/console/proxy?path=_template&method=GET 200 22ms - 9.0B"}

可以看到绑定端口为5601

4.查看进程

执行ps -ef|grep node

 501  8563  2099   0  6:43下午 ttys000    0:27.66 ./../node/bin/node --no-warnings ./../src/cli

5.浏览器访问 http://localhost:5601/app/kibana 进入Dev Tools界面

二.CURD

1.document数据格式

面向文档的搜索分析引擎

（1）应用系统的数据结构都是面向对象的，复杂的
（2）对象数据存储到数据库中，只能拆解开来，变为扁平的多张表，每次查询的时候还得还原回对象格式，相当麻烦
（3）ES是面向文档的，文档中存储的数据结构，与面向对象的数据结构是一样的，基于这种文档数据结构，es可以提供复杂的索引，全文检索，分析聚合等功能
（4）es的document用json数据格式来表达

2.简单的集群管理

（1）快速检查集群的健康状况

es提供了一套api，叫做cat api，可以查看es中各种各样的数据

GET /_cat/health?v

epoch      timestamp cluster       status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1545272412 02:20:12  elasticsearch green           1         1      1   1    0    0        0             0                  -                100.0%

如何快速了解集群的健康状况？green、yellow、red？

green：每个索引的primary shard和replica shard都是active状态的

yellow：每个索引的primary shard都是active状态的，但是部分replica shard不是active状态，处于不可用的状态

red：不是所有索引的primary shard都是active状态的，部分索引有数据丢失了

（2）快速查看集群中有哪些索引

GET /_cat/indices?v

health status index     uuid                   pri rep docs.count docs.deleted store.size pri.store.size
green  open   .kibana_1 4OzsBQhJROuREyl8ZadWCQ   1   0          3            0     11.9kb         11.9kb

（3）简单的索引操作

创建索引：PUT /test_index?pretty

health status index      uuid                   pri rep docs.count docs.deleted store.size pri.store.size
green  open   .kibana_1  4OzsBQhJROuREyl8ZadWCQ   1   0          3            0     11.9kb         11.9kb
yellow open   test_index QmrZBLhPQkG41DSt-rLzfQ   5   1          0            0      1.1kb          1.1kb

删除索引：DELETE /test_index?pretty

health status index     uuid                   pri rep docs.count docs.deleted store.size pri.store.size
green  open   .kibana_1 4OzsBQhJROuREyl8ZadWCQ   1   0          3            0     11.9kb         11.9kb

3、document的CRUD操作

epoch      timestamp cluster       status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1545275286 03:08:06  elasticsearch yellow          1         1      6   6    0    0        5             0                  -                 54.5%

（1）新增：新增文档，建立索引

PUT /index/type/id
{
  "json数据"
}
 
PUT /ecommerce/product/1
{
    "name" : "gaolujie yagao",
    "desc" :  "gaoxiao meibai",
    "price" :  30,
    "producer" :      "gaolujie producer",
    "tags": [ "meibai", "fangzhu" ]
}
 
{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 1,
  "result": "created",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  },
  "created": true
}
 
PUT /ecommerce/product/2
{
    "name" : "jiajieshi yagao",
    "desc" :  "youxiao fangzhu",
    "price" :  25,
    "producer" :      "jiajieshi producer",
    "tags": [ "fangzhu" ]
}
 
PUT /ecommerce/product/3
{
    "name" : "zhonghua yagao",
    "desc" :  "caoben zhiwu",
    "price" :  40,
    "producer" :      "zhonghua producer",
    "tags": [ "qingxin" ]
}

es会自动建立index和type，不需要提前创建，而且es默认会对document每个field都建立倒排索引，让其可以被搜索

（2）查询：检索文档

GET /index/type/id
GET /ecommerce/product/1
 
{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 1,
  "found": true,
  "_source": {
    "name": "gaolujie yagao",
    "desc": "gaoxiao meibai",
    "price": 30,
    "producer": "gaolujie producer",
    "tags": [
      "meibai",
      "fangzhu"
    ]
  }
}

（3）修改：替换文档

PUT /ecommerce/product/1
{
    "name" : "jiaqiangban gaolujie yagao",
    "desc" :  "gaoxiao meibai",
    "price" :  30,
    "producer" :      "gaolujie producer",
    "tags": [ "meibai", "fangzhu" ]
}
 
{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 1,
  "result": "created",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  },
  "created": true
}
 
{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 2,
  "result": "updated",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  },
  "created": false
}
 
PUT /ecommerce/product/1
{
    "name" : "jiaqiangban gaolujie yagao"
}

替换方式有一个不好，即使必须带上所有的field，才能去进行信息的修改

（4）修改：更新文档

POST /ecommerce/product/1/_update
{
  "doc": {
    "name": "jiaqiangban gaolujie yagao"
  }
}
 
{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 8,
  "result": "updated",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  }
}

（5）删除：删除文档

DELETE /ecommerce/product/1
 
{
  "found": true,
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 9,
  "result": "deleted",
  "_shards": {
    "total": 2,
    "successful": 1,
    "failed": 0
  }
}
 
{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "found": false
}