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从零学Elasticsearch系列——使用kibana实现ES基本的操作

2019-01-09 09:34 671 查看

系列文章：

一、使用Kibana实现ES基本的操作

进入kibana开发测试工具界面

查看集群

查看集群健康信息

GET /_cat/health?v

集群状态（status）

Green（正常）
Yellow（正常，但是一些副本还没有分配）
Red（非正常）

可以使用

GET /_cat/health?help

查看每个操作返回结果字段的意义

注意：
这里的
GET
是RESTful API的请求方式
/_cat/health?help
是RESTful API接口
你也可以使用PostMan这样的RESTful API测试工具，但是没有提示

使用方式如下：

查看集群中节点信息

GET /_cat/nodes?v

ip             heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
192.168.23.141            9          91   7    0.10    0.08     0.13 mdi       *      x0vIhEF

查看集群中的索引信息

GET /_cat/indices?v

health status index  uuid                   pri rep docs.count docs.deleted store.size
yellow open   baizhi BYzhTHMzQIKEiyaKXklueQ   5   1          0            0      1.2kb

简化写法

GET /_cat/indices?v&h=health,status,index

health status index
yellow open   baizhi

索引操作

创建索引

PUT /baizhi

#! Deprecation: the default number of shards will change from [5] to [1] in 7.0.0; if you wish to continue using the default of [5] shards, you must manage this on the create index request or with an index template
{
"acknowledged": true, # 创建成功返回true
"shards_acknowledged": true,
"index": "baizhi"
}

上面的操作使用默认的配置信息创建一个索引

删除索引

DELETE /baizhi

{
"acknowledged": true
}

创建类型Mapping

PUT /baizhi # 创建index(baizhi)并添加类型mapping（_doc）
{
"mappings": {
"_doc": {
"properties": {
"title":    { "type": "text"  },  # 注意： 字符串常用类型：text类型会分词 keyword类型不会分词
"name":     { "type": "text"  },
"age":      { "type": "integer" },
"created":  {
"type":   "date",
"format": "strict_date_optional_time||epoch_millis"
}
}
}
}
}

或

POST /baizhi/user # 创建index(baizhi)后，在指定index中添加类型mapping(user)
{
"user": {
"properties": {
"id":    { "type": "text"  },
"name":     { "type": "text"  },
"age":      { "type": "integer" },
"created":  {
"type":   "date",
"format": "strict_date_optional_time||epoch_millis"
}
}
}
}

Mapping Type：
简单类型：
text
,
keyword
,
date
,
long
,
double
,
boolean
or
ip
其它类型：
object
,
geo_point
,
geo_shape
等

查看类型mapping

GET /baizhi/_mapping/_doc # 语法：GET /索引名/_mapping/类型名

-------------------------------------------
{
"baizhi": {
"mappings": {
"_doc": {
"properties": {
"age": {
"type": "integer"
},
"created": {
"type": "date"
},
"name": {
"type": "text"
},
"title": {
"type": "text"
}
}
}
}
}
}

注意：mapping types将会在ES 7.0版本中移除。原因可参考：https://www.elastic.co/guide/en/elasticsearch/reference/current/removal-of-types.html#_why_are_mapping_types_being_removed

文档操作

新增单个文档

PUT /baizhi/_doc/1 # put /索引名/类型名/id
{				   # request body
"name":"zs",
"title":"张三",
"age":18,
"created":"2018-12-25"
}

或

POST /baizhi/_doc
{
"name":"ls",
"title":"李四",
"age":28,
"created":"2018-12-26"
}
-------------------------------------------------------------
{
"_index": "baizhi",
"_type": "_doc",
"_id": "KbOj6GcBVEuCC3JSh18Y", # ES自动生成的文档的id
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 0,
"_primary_term": 1
}

查询单个文档

GET /baizhi/_doc/1	# 语法： GET /索引名/类型名/id
-------------------------------------------------------------------
{
"_index": "baizhi",
"_type": "_doc",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"name": "zs",
"title": "张三",
"age": 18,
"created": "2018-12-25"
}
}

GET /baizhi/_doc/KbOj6GcBVEuCC3JSh18Y
--------------------------------------------------------------------
{
"_index": "baizhi",
"_type": "_doc",
"_id": "KbOj6GcBVEuCC3JSh18Y",
"_version": 1,
"found": true,
"_source": {
"name": "ls",
"title": "李四",
"age": 28,
"created": "2018-12-26"
}
}

修改单个文档

PUT /baizhi/_doc/KbOj6GcBVEuCC3JSh18Y  # 语法： PUT /索引名/类型名/id
{
"name":"lxs",
"title":"李小四"
}
--------------------------------------------------------------------
{
"_index": "baizhi",
"_type": "_doc",
"_id": "KbOj6GcBVEuCC3JSh18Y",
"_version": 2,
"found": true,
"_source": {
"name": "lxs",
"title": "李小四"
}
}

删除单个文档

DELETE /baizhi/_doc/1	# 语法： DELETE /索引名/类型名/id

--------------------------------------------------------------------
{
"_index": "baizhi",
"_type": "_doc",
"_id": "1",
"_version": 2,
"result": "deleted",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 1,
"_primary_term": 1
}

批处理操作

除了能够索引、更新和删除单个文档外，Elasticsearch还提供了使用

_bulk API

批量执行上述任何操作的能力。这个功能非常重要，因为它提供了一种非常有效的机制，可以以尽可能少的网络往返尽可能快地执行多个操作

POST /baizhi/_doc/_bulk # 批量插入多个document
{"index":{}}
{"name":"ww","title":"王五","age":18,"created":"2018-12-27"}
{"index":{}}
{"name":"zl","title":"赵六","age":25,"created":"2018-12-27"}
-------------------------------------------------------------------
{
"took": 65,
"errors": false, # 批量插入成功
"items": [
{
"index": {
"_index": "baizhi",
"_type": "_doc",
"_id": "KrOP6WcBVEuCC3JS8V9K",
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 0,
"_primary_term": 1,
"status": 201
}
},
{
"index": {
"_index": "baizhi",
"_type": "_doc",
"_id": "K7OP6WcBVEuCC3JS8V9K",
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 0,
"_primary_term": 1,
"status": 201
}
}
]
}

POST /baizhi/_doc/_bulk	 # 批量操作（包含修改和删除）
{"update":{"_id":"KrOP6WcBVEuCC3JS8V9K"}}  # 修改
{"doc":{"title":"王小五"}}
{"delete":{"_id":"K7OP6WcBVEuCC3JS8V9K"}}  # 删除

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