谷粒商城—分布式高级①.md

1. ELASTICSEARCH

1、安装elastic search

dokcer中安装elastic search

（1）下载ealastic search和kibana

docker pull elasticsearch:7.6.2
docker pull kibana:7.6.2

（2）配置

mkdir -p /mydata/elasticsearch/config
mkdir -p /mydata/elasticsearch/data
echo "http.host: 0.0.0.0" >/mydata/elasticsearch/config/elasticsearch.yml
chmod -R 777 /mydata/elasticsearch/

（3）启动Elastic search

docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
-e  "discovery.type=single-node" \
-e ES_JAVA_OPTS="-Xms64m -Xmx512m" \
-v /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
-v  /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-d elasticsearch:7.6.2

设置开机启动elasticsearch

docker update elasticsearch --restart=always

（4）启动kibana：

docker run --name kibana -e ELASTICSEARCH_HOSTS=http://172.17.0.3:9200 -p 5601:5601 -d kibana:7.6.2

设置开机启动kibana

docker update kibana  --restart=always

（5）测试

查看elasticsearch版本信息： http://#:9200/

{
   
    "name": "0adeb7852e00",
    "cluster_name": "elasticsearch",
    "cluster_uuid": "9gglpP0HTfyOTRAaSe2rIg",
    "version": {
   
        "number": "7.6.2",
        "build_flavor": "default",
        "build_type": "docker",
        "build_hash": "ef48eb35cf30adf4db14086e8aabd07ef6fb113f",
        "build_date": "2020-03-26T06:34:37.794943Z",
        "build_snapshot": false,
        "lucene_version": "8.4.0",
        "minimum_wire_compatibility_version": "6.8.0",
        "minimum_index_compatibility_version": "6.0.0-beta1"
    },
    "tagline": "You Know, for Search"
}

显示elasticsearch 节点信息http://#:9200/_cat/nodes ，

127.0.0.1 76 95 1 0.26 1.40 1.22 dilm * 0adeb7852e00

访问Kibana： http://#:5601/app/kibana

在这里插入图片描述

2、初步检索

1）_CAT

（1）GET/cat/nodes：查看所有节点

如：http://#:9200/_cat/nodes :

127.0.0.1 61 91 11 0.08 0.49 0.87 dilm * 0adeb7852e00

注：*表示集群中的主节点

（2）GET/cat/health：查看es健康状况

如： http://#:9200/_cat/health

1588332616 11:30:16 elasticsearch green 1 1 3 3 0 0 0 0 - 100.0%

注：green表示健康值正常

（3）GET/cat/master：查看主节点

如： http://#:9200/_cat/master

vfpgxbusTC6-W3C2Np31EQ 127.0.0.1 127.0.0.1 0adeb7852e00

（4）GET/_cat/indicies：查看所有索引，等价于mysql数据库的show databases;

如： http://#:9200/_cat/indices

green open .kibana_task_manager_1   KWLtjcKRRuaV9so_v15WYg 1 0 2 0 39.8kb 39.8kb
green open .apm-agent-configuration cuwCpJ5ER0OYsSgAJ7bVYA 1 0 0 0   283b   283b
green open .kibana_1                PqK_LdUYRpWMy4fK0tMSPw 1 0 7 0 31.2kb 31.2kb

2）索引一个文档

保存一个数据，保存在哪个索引的哪个类型下，指定用那个唯一标识
PUT customer/external/1;在customer索引下的external类型下保存1号数据为

PUT customer/external/1

{
   
 "name":"John Doe"
}

PUT和POST都可以
POST新增。如果不指定id，会自动生成id。指定id就会修改这个数据，并新增版本号；
PUT可以新增也可以修改。PUT必须指定id；由于PUT需要指定id，我们一般用来做修改操作，不指定id会报错。

下面是在postman中的测试数据：
在这里插入图片描述

创建数据成功后，显示201 created表示插入记录成功。

{
   
    "_index": "customer",
    "_type": "external",
    "_id": "1",
    "_version": 1,
    "result": "created",
    "_shards": {
   
        "total": 2,
        "successful": 1,
        "failed": 0
    },
    "_seq_no": 0,
    "_primary_term": 1
}

这些返回的JSON串的含义；这些带有下划线开头的，称为元数据，反映了当前的基本信息。

“_index”: “customer” 表明该数据在哪个数据库下；

“_type”: “external” 表明该数据在哪个类型下；

“_id”: “1” 表明被保存数据的id；

“_version”: 1, 被保存数据的版本

“result”: “created” 这里是创建了一条数据，如果重新put一条数据，则该状态会变为updated，并且版本号也会发生变化。

下面选用POST方式：

添加数据的时候，不指定ID，会自动的生成id，并且类型是新增：

再次使用POST插入数据，仍然是新增的：

添加数据的时候，指定ID，会使用该id，并且类型是新增：

再次使用POST插入数据，类型为updated

3）查看文档

GET /customer/external/1

http://#:9200/customer/external/1

{
   
    "_index": "customer",//在哪个索引
    "_type": "external",//在哪个类型
    "_id": "1",//记录id
    "_version": 3,//版本号
    "_seq_no": 6,//并发控制字段，每次更新都会+1，用来做乐观锁
    "_primary_term": 1,//同上，主分片重新分配，如重启，就会变化
    "found": true,
    "_source": {
   
        "name": "John Doe"
    }
}

通过“if_seq_no=1&if_primary_term=1 ”，当序列号匹配的时候，才进行修改，否则不修改。

实例：将id=1的数据更新为name=1，然后再次更新为name=2，起始_seq_no=6，_primary_term=1

（1）将name更新为1

http://#:9200/customer/external/1?if_seq_no=6&if_primary_term=1

（2）将name更新为2，更新过程中使用seq_no=6

http://#:9200/customer/external/1?if_seq_no=6&if_primary_term=1

出现更新错误。

（3）查询新的数据

http://#:9200/customer/external/1

在这里插入图片描述

能够看到_seq_no变为7。

（4）再次更新，更新成功

http://#:9200/customer/external/1?if_seq_no=7&if_primary_term=1

4）更新文档

在这里插入图片描述

（1）POST更新文档，带有_update

http://#:9200/customer/external/1/_update

在这里插入图片描述

如果再次执行更新，则不执行任何操作，序列号也不发生变化

在这里插入图片描述

POST更新方式，会对比原来的数据，和原来的相同，则不执行任何操作（version和_seq_no）都不变。

（2）POST更新文档，不带_update

在这里插入图片描述

在更新过程中，重复执行更新操作，数据也能够更新成功，不会和原来的数据进行对比。

5）删除文档或索引

DELETE customer/external/1
DELETE customer

注：elasticsearch并没有提供删除类型的操作，只提供了删除索引和文档的操作。

实例：删除id=1的数据，删除后继续查询

实例：删除整个costomer索引数据

删除前，所有的索引

green  open .kibana_task_manager_1   KWLtjcKRRuaV9so_v15WYg 1 0 2 0 39.8kb 39.8kb
green  open .apm-agent-configuration cuwCpJ5ER0OYsSgAJ7bVYA 1 0 0 0   283b   283b
green  open .kibana_1                PqK_LdUYRpWMy4fK0tMSPw 1 0 7 0 31.2kb 31.2kb
yellow open customer                 nzDYCdnvQjSsapJrAIT8Zw 1 1 4 0  4.4kb  4.4kb

删除“ customer ”索引

在这里插入图片描述

删除后，所有的索引

green  open .kibana_task_manager_1   KWLtjcKRRuaV9so_v15WYg 1 0 2 0 39.8kb 39.8kb
green  open .apm-agent-configuration cuwCpJ5ER0OYsSgAJ7bVYA 1 0 0 0   283b   283b
green  open .kibana_1                PqK_LdUYRpWMy4fK0tMSPw 1 0 7 0 31.2kb 31.2kb

6）eleasticsearch的批量操作——bulk

语法格式：

{
   action:{
   metadata}}\n
{
   request body  }\n

{
   action:{
   metadata}}\n
{
   request body  }\n

这里的批量操作，当发生某一条执行发生失败时，其他的数据仍然能够接着执行，也就是说彼此之间是独立的。

bulk api以此按顺序执行所有的action（动作）。如果一个单个的动作因任何原因失败，它将继续处理它后面剩余的动作。当bulk api返回时，它将提供每个动作的状态（与发送的顺序相同），所以您可以检查是否一个指定的动作是否失败了。

实例1: 执行多条数据

POST customer/external/_bulk
{
   "index":{
   "_id":"1"}}
{
   "name":"John Doe"}
{
   "index":{
   "_id":"2"}}
{
   "name":"John Doe"}

执行结果

#! Deprecation: [types removal] Specifying types in bulk requests is deprecated.
{
   
  "took" : 491,
  "errors" : false,
  "items" : [
    {
   
      "index" : {
   
        "_index" : "customer",
        "_type" : "external",
        "_id" : "1",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
   
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 0,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
   
      "index" : {
   
        "_index" : "customer",
        "_type" : "external",
        "_id" : "2",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
   
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 1,
        "_primary_term" : 1,
        "status" : 201
      }
    }
  ]
}

实例2：对于整个索引执行批量操作

POST /_bulk
{
   "delete":{
   "_index":"website","_type":"blog","_id":"123"}}
{
   "create":{
   "_index":"website","_type":"blog","_id":"123"}}
{
   "title":"my first blog post"}
{
   "index":{
   "_index":"website","_type":"blog"}}
{
   "title":"my second blog post"}
{
   "update":{
   "_index":"website","_type":"blog","_id":"123"}}
{
   "doc":{
   "title":"my updated blog post"}}

运行结果：

#! Deprecation: [types removal] Specifying types in bulk requests is deprecated.
{
   
  "took" : 608,
  "errors" : false,
  "items" : [
    {
   
      "delete" : {
   
        "_index" : "website",
        "_type" : "blog",
        "_id" : "123",
        "_version" : 1,
        "result" : "not_found",
        "_shards" : {
   
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 0,
        "_primary_term" : 1,
        "status" : 404
      }
    },
    {
   
      "create" : {
   
        "_index" : "website",
        "_type" : "blog",
        "_id" : "123",
        "_version" : 2,
        "result" : "created",
        "_shards" : {
   
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 1,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
   
      "index" : {
   
        "_index" : "website",
        "_type" : "blog",
        "_id" : "MCOs0HEBHYK_MJXUyYIz",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
   
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 2,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
   
      "update" : {
   
        "_index" : "website",
        "_type" : "blog",
        "_id" : "123",
        "_version" : 3,
        "result" : "updated",
        "_shards" : {
   
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 3,
        "_primary_term" : 1,
        "status" : 200
      }
    }
  ]
}

7）样本测试数据

准备了一份顾客银行账户信息的虚构的JSON文档样本。每个文档都有下列的schema（模式）。

{
   
	"account_number": 1,
	"balance": 39225,
	"firstname": "Amber",
	"lastname": "Duke",
	"age": 32,
	"gender": "M",
	"address": "880 Holmes Lane",
	"employer": "Pyrami",
	"email": "amberduke@pyrami.com",
	"city": "Brogan",
	"state": "IL"
}

https://github.com/elastic/elasticsearch/blob/master/docs/src/test/resources/accounts.json ，导入测试数据，

POST bank/account/_bulk

3、检索

1）search Api

ES支持两种基本方式检索；

通过REST request uri 发送搜索参数（uri +检索参数）；
通过REST request body 来发送它们（uri+请求体）；

信息检索

在这里插入图片描述

uri+请求体进行检索

GET /bank/_search
{
   
  "query": {
    "match_all": {
   } },
  "sort": [
    {
    "account_number": "asc" },
    {
   "balance":"desc"}
  ]
}

HTTP客户端工具（），get请求不能够携带请求体，

GET bank/_search?q=*&sort=account_number:asc

返回结果：

{
   
  "took" : 235,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1000,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "0",
        "_score" : null,
        "_source" : {
   
          "account_number" : 0,
          "balance" : 16623,
          "firstname" : "Bradshaw",
          "lastname" : "Mckenzie",
          "age" : 29,
          "gender" : "F",
          "address" : "244 Columbus Place",
          "employer" : "Euron",
          "email" : "bradshawmckenzie@euron.com",
          "city" : "Hobucken",
          "state" : "CO"
        },
        "sort" : [
          0
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "1",
        "_score" : null,
        "_source" : {
   
          "account_number" : 1,
          "balance" : 39225,
          "firstname" : "Amber",
          "lastname" : "Duke",
          "age" : 32,
          "gender" : "M",
          "address" : "880 Holmes Lane",
          "employer" : "Pyrami",
          "email" : "amberduke@pyrami.com",
          "city" : "Brogan",
          "state" : "IL"
        },
        "sort" : [
          1
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "2",
        "_score" : null,
        "_source" : {
   
          "account_number" : 2,
          "balance" : 28838,
          "firstname" : "Roberta",
          "lastname" : "Bender",
          "age" : 22,
          "gender" : "F",
          "address" : "560 Kingsway Place",
          "employer" : "Chillium",
          "email" : "robertabender@chillium.com",
          "city" : "Bennett",
          "state" : "LA"
        },
        "sort" : [
          2
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "3",
        "_score" : null,
        "_source" : {
   
          "account_number" : 3,
          "balance" : 44947,
          "firstname" : "Levine",
          "lastname" : "Burks",
          "age" : 26,
          "gender" : "F",
          "address" : "328 Wilson Avenue",
          "employer" : "Amtap",
          "email" : "levineburks@amtap.com",
          "city" : "Cochranville",
          "state" : "HI"
        },
        "sort" : [
          3
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "4",
        "_score" : null,
        "_source" : {
   
          "account_number" : 4,
          "balance" : 27658,
          "firstname" : "Rodriquez",
          "lastname" : "Flores",
          "age" : 31,
          "gender" : "F",
          "address" : "986 Wyckoff Avenue",
          "employer" : "Tourmania",
          "email" : "rodriquezflores@tourmania.com",
          "city" : "Eastvale",
          "state" : "HI"
        },
        "sort" : [
          4
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "5",
        "_score" : null,
        "_source" : {
   
          "account_number" : 5,
          "balance" : 29342,
          "firstname" : "Leola",
          "lastname" : "Stewart",
          "age" : 30,
          "gender" : "F",
          "address" : "311 Elm Place",
          "employer" : "Diginetic",
          "email" : "leolastewart@diginetic.com",
          "city" : "Fairview",
          "state" : "NJ"
        },
        "sort" : [
          5
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "6",
        "_score" : null,
        "_source" : {
   
          "account_number" : 6,
          "balance" : 5686,
          "firstname" : "Hattie",
          "lastname" : "Bond",
          "age" : 36,
          "gender" : "M",
          "address" : "671 Bristol Street",
          "employer" : "Netagy",
          "email" : "hattiebond@netagy.com",
          "city" : "Dante",
          "state" : "TN"
        },
        "sort" : [
          6
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "7",
        "_score" : null,
        "_source" : {
   
          "account_number" : 7,
          "balance" : 39121,
          "firstname" : "Levy",
          "lastname" : "Richard",
          "age" : 22,
          "gender" : "M",
          "address" : "820 Logan Street",
          "employer" : "Teraprene",
          "email" : "levyrichard@teraprene.com",
          "city" : "Shrewsbury",
          "state" : "MO"
        },
        "sort" : [
          7
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "8",
        "_score" : null,
        "_source" : {
   
          "account_number" : 8,
          "balance" : 48868,
          "firstname" : "Jan",
          "lastname" : "Burns",
          "age" : 35,
          "gender" : "M",
          "address" : "699 Visitation Place",
          "employer" : "Glasstep",
          "email" : "janburns@glasstep.com",
          "city" : "Wakulla",
          "state" : "AZ"
        },
        "sort" : [
          8
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "9",
        "_score" : null,
        "_source" : {
   
          "account_number" : 9,
          "balance" : 24776,
          "firstname" : "Opal",
          "lastname" : "Meadows",
          "age" : 39,
          "gender" : "M",
          "address" : "963 Neptune Avenue",
          "employer" : "Cedward",
          "email" : "opalmeadows@cedward.com",
          "city" : "Olney",
          "state" : "OH"
        },
        "sort" : [
          9
        ]
      }
    ]
  }
}

（1）只有6条数据，这是因为存在分页查询；

使用from和size可以指定查询

GET /bank/_search
{
  "query": { "match_all": {} },
  "sort": [
    { "account_number": "asc" },
    {"balance":"desc"}
  ],
  "from": 20,
  "size": 10
}

（2）详细的字段信息，参照： https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started-search.html

The response also provides the following information about the search request:

took – how long it took Elasticsearch to run the query, in milliseconds

timed_out – whether or not the search request timed out

_shards – how many shards were searched and a breakdown of how many shards succeeded, failed, or were skipped.

max_score – the score of the most relevant document found

hits.total.value - how many matching documents were found

hits.sort - the document’s sort position (when not sorting by relevance score)

hits._score - the document’s relevance score (not applicable when using match_all)

2）Query DSL

（1）基本语法格式

Elasticsearch提供了一个可以执行查询的Json风格的DSL。这个被称为Query DSL，该查询语言非常全面。

一个查询语句的典型结构

QUERY_NAME:{
   
   ARGUMENT:VALUE,
   ARGUMENT:VALUE,...
}

如果针对于某个字段，那么它的结构如下：

{
   
  QUERY_NAME:{
   
     FIELD_NAME:{
   
       ARGUMENT:VALUE,
       ARGUMENT:VALUE,...
      }   
   }
}

GET bank/_search
{
   
  "query": {
   
    "match_all": {
   }
  },
  "from": 0,
  "size": 5,
  "sort": [
    {
   
      "account_number": {
   
        "order": "desc"
      }
    }
  ]
}

query定义如何查询；

match_all查询类型【代表查询所有的所有】，es中可以在query中组合非常多的查询类型完成复杂查询；
除了query参数之外，我们可也传递其他的参数以改变查询结果，如sort，size；
from+size限定，完成分页功能；
sort排序，多字段排序，会在前序字段相等时后续字段内部排序，否则以前序为准；

（2）返回部分字段

GET bank/_search
{
   
  "query": {
   
    "match_all": {
   }
  },
  "from": 0,
  "size": 5,
  "sort": [
    {
   
      "account_number": {
   
        "order": "desc"
      }
    }
  ],
  "_source": ["balance","firstname"]
  
}

查询结果：

{
   
  "took" : 18,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1000,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "999",
        "_score" : null,
        "_source" : {
   
          "firstname" : "Dorothy",
          "balance" : 6087
        },
        "sort" : [
          999
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "998",
        "_score" : null,
        "_source" : {
   
          "firstname" : "Letha",
          "balance" : 16869
        },
        "sort" : [
          998
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "997",
        "_score" : null,
        "_source" : {
   
          "firstname" : "Combs",
          "balance" : 25311
        },
        "sort" : [
          997
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "996",
        "_score" : null,
        "_source" : {
   
          "firstname" : "Andrews",
          "balance" : 17541
        },
        "sort" : [
          996
        ]
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "995",
        "_score" : null,
        "_source" : {
   
          "firstname" : "Phelps",
          "balance" : 21153
        },
        "sort" : [
          995
        ]
      }
    ]
  }
}

（3）match匹配查询

基本类型（非字符串），精确控制

GET bank/_search
{
   
  "query": {
   
    "match": {
   
      "account_number": "20"
    }
  }
}

match返回account_number=20的数据。

查询结果：

{
   
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "20",
        "_score" : 1.0,
        "_source" : {
   
          "account_number" : 20,
          "balance" : 16418,
          "firstname" : "Elinor",
          "lastname" : "Ratliff",
          "age" : 36,
          "gender" : "M",
          "address" : "282 Kings Place",
          "employer" : "Scentric",
          "email" : "elinorratliff@scentric.com",
          "city" : "Ribera",
          "state" : "WA"
        }
      }
    ]
  }
}

字符串，全文检索

GET bank/_search
{
   
  "query": {
   
    "match": {
   
      "address": "kings"
    }
  }
}

全文检索，最终会按照评分进行排序，会对检索条件进行分词匹配。

查询结果：

{
   
  "took" : 30,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 2,
      "relation" : "eq"
    },
    "max_score" : 5.990829,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "20",
        "_score" : 5.990829,
        "_source" : {
   
          "account_number" : 20,
          "balance" : 16418,
          "firstname" : "Elinor",
          "lastname" : "Ratliff",
          "age" : 36,
          "gender" : "M",
          "address" : "282 Kings Place",
          "employer" : "Scentric",
          "email" : "elinorratliff@scentric.com",
          "city" : "Ribera",
          "state" : "WA"
        }
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "722",
        "_score" : 5.990829,
        "_source" : {
   
          "account_number" : 722,
          "balance" : 27256,
          "firstname" : "Roberts",
          "lastname" : "Beasley",
          "age" : 34,
          "gender" : "F",
          "address" : "305 Kings Hwy",
          "employer" : "Quintity",
          "email" : "robertsbeasley@quintity.com",
          "city" : "Hayden",
          "state" : "PA"
        }
      }
    ]
  }
}

（4） match_phrase [短句匹配]

将需要匹配的值当成一整个单词（不分词）进行检索

GET bank/_search
{
   
  "query": {
   
    "match_phrase": {
   
      "address": "mill road"
    }
  }
}

查处address中包含mill_road的所有记录，并给出相关性得分

查看结果：

{
   
  "took" : 32,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 8.926605,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "970",
        "_score" : 8.926605,
        "_source" : {
   
          "account_number" : 970,
          "balance" : 19648,
          "firstname" : "Forbes",
          "lastname" : "Wallace",
          "age" : 28,
          "gender" : "M",
          "address" : "990 Mill Road",
          "employer" : "Pheast",
          "email" : "forbeswallace@pheast.com",
          "city" : "Lopezo",
          "state" : "AK"
        }
      }
    ]
  }
}

match_phrase和Match的区别，观察如下实例：

GET bank/_search
{
   
  "query": {
   
    "match_phrase": {
   
      "address": "990 Mill"
    }
  }
}

查询结果：

{
   
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 10.806405,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "970",
        "_score" : 10.806405,
        "_source" : {
   
          "account_number" : 970,
          "balance" : 19648,
          "firstname" : "Forbes",
          "lastname" : "Wallace",
          "age" : 28,
          "gender" : "M",
          "address" : "990 Mill Road",
          "employer" : "Pheast",
          "email" : "forbeswallace@pheast.com",
          "city" : "Lopezo",
          "state" : "AK"
        }
      }
    ]
  }
}

使用match的keyword

GET bank/_search
{
   
  "query": {
   
    "match": {
   
      "address.keyword": "990 Mill"
    }
  }
}

查询结果，一条也未匹配到

{
   
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 0,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  }
}

修改匹配条件为“990 Mill Road”

GET bank/_search
{
   
  "query": {
   
    "match": {
   
      "address.keyword": "990 Mill Road"
    }
  }
}

查询出一条数据

{
   
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 6.5032897,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "970",
        "_score" : 6.5032897,
        "_source" : {
   
          "account_number" : 970,
          "balance" : 19648,
          "firstname" : "Forbes",
          "lastname" : "Wallace",
          "age" : 28,
          "gender" : "M",
          "address" : "990 Mill Road",
          "employer" : "Pheast",
          "email" : "forbeswallace@pheast.com",
          "city" : "Lopezo",
          "state" : "AK"
        }
      }
    ]
  }
}

文本字段的匹配，使用keyword，匹配的条件就是要显示字段的全部值，要进行精确匹配的。

match_phrase是做短语匹配，只要文本中包含匹配条件，就能匹配到。

（5）multi_math【多字段匹配】

GET bank/_search
{
   
  "query": {
   
    "multi_match": {
   
      "query": "mill",
      "fields": [
        "state",
        "address"
      ]
    }
  }
}

state或者address中包含mill，并且在查询过程中，会对于查询条件进行分词。

查询结果：

{
   
  "took" : 28,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 4,
      "relation" : "eq"
    },
    "max_score" : 5.4032025,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "970",
        "_score" : 5.4032025,
        "_source" : {
   
          "account_number" : 970,
          "balance" : 19648,
          "firstname" : "Forbes",
          "lastname" : "Wallace",
          "age" : 28,
          "gender" : "M",
          "address" : "990 Mill Road",
          "employer" : "Pheast",
          "email" : "forbeswallace@pheast.com",
          "city" : "Lopezo",
          "state" : "AK"
        }
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "136",
        "_score" : 5.4032025,
        "_source" : {
   
          "account_number" : 136,
          "balance" : 45801,
          "firstname" : "Winnie",
          "lastname" : "Holland",
          "age" : 38,
          "gender" : "M",
          "address" : "198 Mill Lane",
          "employer" : "Neteria",
          "email" : "winnieholland@neteria.com",
          "city" : "Urie",
          "state" : "IL"
        }
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "345",
        "_score" : 5.4032025,
        "_source" : {
   
          "account_number" : 345,
          "balance" : 9812,
          "firstname" : "Parker",
          "lastname" : "Hines",
          "age" : 38,
          "gender" : "M",
          "address" : "715 Mill Avenue",
          "employer" : "Baluba",
          "email" : "parkerhines@baluba.com",
          "city" : "Blackgum",
          "state" : "KY"
        }
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "472",
        "_score" : 5.4032025,
        "_source" : {
   
          "account_number" : 472,
          "balance" : 25571,
          "firstname" : "Lee",
          "lastname" : "Long",
          "age" : 32,
          "gender" : "F",
          "address" : "288 Mill Street",
          "employer" : "Comverges",
          "email" : "leelong@comverges.com",
          "city" : "Movico",
          "state" : "MT"
        }
      }
    ]
  }
}

（6）bool用来做复合查询

复合语句可以合并，任何其他查询语句，包括符合语句。这也就意味着，复合语句之间
可以互相嵌套，可以表达非常复杂的逻辑。

must：必须达到must所列举的所有条件

GET bank/_search
{
   
   "query":{
   
        "bool":{
   
             "must":[
              {
   "match":{
   "address":"mill"}},
              {
   "match":{
   "gender":"M"}}
             ]
         }
    }
}

must_not，必须不匹配must_not所列举的所有条件。

should，应该满足should所列举的条件。

实例：查询gender=m，并且address=mill的数据

GET bank/_search
{
   
  "query": {
   
    "bool": {
   
      "must": [
        {
   
          "match": {
   
            "gender": "M"
          }
        },
        {
   
          "match": {
   
            "address": "mill"
          }
        }
      ]
    }
  }
}

查询结果：

{
   
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 3,
      "relation" : "eq"
    },
    "max_score" : 6.0824604,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "970",
        "_score" : 6.0824604,
        "_source" : {
   
          "account_number" : 970,
          "balance" : 19648,
          "firstname" : "Forbes",
          "lastname" : "Wallace",
          "age" : 28,
          "gender" : "M",
          "address" : "990 Mill Road",
          "employer" : "Pheast",
          "email" : "forbeswallace@pheast.com",
          "city" : "Lopezo",
          "state" : "AK"
        }
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "136",
        "_score" : 6.0824604,
        "_source" : {
   
          "account_number" : 136,
          "balance" : 45801,
          "firstname" : "Winnie",
          "lastname" : "Holland",
          "age" : 38,
          "gender" : "M",
          "address" : "198 Mill Lane",
          "employer" : "Neteria",
          "email" : "winnieholland@neteria.com",
          "city" : "Urie",
          "state" : "IL"
        }
      },
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "345",
        "_score" : 6.0824604,
        "_source" : {
   
          "account_number" : 345,
          "balance" : 9812,
          "firstname" : "Parker",
          "lastname" : "Hines",
          "age" : 38,
          "gender" : "M",
          "address" : "715 Mill Avenue",
          "employer" : "Baluba",
          "email" : "parkerhines@baluba.com",
          "city" : "Blackgum",
          "state" : "KY"
        }
      }
    ]
  }
}

must_not：必须不是指定的情况

实例：查询gender=m，并且address=mill的数据，但是age不等于38的


GET bank/_search
{
   
  "query": {
   
    "bool": {
   
      "must": [
        {
   
          "match": {
   
            "gender": "M"
          }
        },
        {
   
          "match": {
   
            "address": "mill"
          }
        }
      ],
      "must_not": [
        {
   
          "match": {
   
            "age": "38"
          }
        }
      ]
    }
  }

查询结果：

{
   
  "took" : 4,
  "timed_out" : false,
  "_shards" : {
   
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
   
    "total" : {
   
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 6.0824604,
    "hits" : [
      {
   
        "_index" : "bank",
        "_type" : "account",
        "_id" : "970",
        "_score" : 6.0824604,
        "_source" : {
   
          "account_number" : 970,
          "balance" : 19648,
          "firstname" : "Forbes",
          "lastname" : "Wallace",
          "age" : 28,
          "gender" : "M",
          "address" : "990 Mill Road",
          "employer" : "Pheast",
          "email" : "forbeswallace@pheast.com",
          "city" : "Lopezo",