一、安装
Elasticsearch是一个基于Apache Lucene(TM)的开源搜索引擎。它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口。
（一）Elasticsearch下载与安装
1、Elasticsearch的下载
官网下载有时太慢，这里分享一个链接：链接：https://pan.baidu.com/s/1u-3M4yr7zTjioYQZQKCeYQ 提取码：vfr3
下载完成后进行解压，进入到如下目录：
可以看到里面有一个jdk的文件夹，所以你先需要将jdk的环境配置好：
2、配置jdk环境
- JAVA_HOME配置
在系统环境变量中配置JAVA_HOME变量
- 配置classpath
.;%JAVA_HOME%lib;%JAVA_HOME%lib ools.jar
- 编辑Path
%JAVA_HOME%in;%JAVA_HOME%jrein;
- 测试是否安装成功
3、启动Elasticsearch
可以进入到其bin目录下，点击elasticsearch.bat直接运行：
但是不出意外的话，应该很大可能失败，此时我们需要看看错误信息，需要在cmd串口中进行运行，错误信息有以下情况：
- 错误一
OpenJDK 64-Bit Server VM warning: Option UseConcMarkSweepGC was deprecated in ve
rsion 9.0 and will likely be removed in a future release.
此时，我们需要修改elasticsearch目录下的congfig目录下的jvm.options文件：
将-XX:+UseConcMarkSweepGC修改为-XX:+UseG1GC即可。
- 错误二
Error occurred during initialization of VM
Initial heap size set to a larger value than the maximum heap size
此时我们还是修改上述配置文件，只需要将堆容量设置的小一些就可以了：
这里我将之前的1G修改为500M，然后保存文件并重新启动就ok了，成功启动后我们可以进行验证，访问9200端口：
其详细配置信息位于config目录下的elasticsearch.yml文件中。
（二）kibana的下载与安装
kibana是elasticsearch的web版客户端，我们可以通过它来连接已经启动的elasticsearch，这样操作起来就会更方便，注意的是kibana的版本必须与elasticsearch的版本保持一致，这里提供了资源地址：
链接：https://pan.baidu.com/s/1sBaGUzxYxe5nX8SKPK9AKQ
提取码：6ba4
下载完成并且进行解压，然后进入到bin目录下：
直接点击kibana.bat就会自动启动运行，它会自动连接elasticsearch服务器，我们通过默认端口5601可以进行访问：
kibana的详细配置在其config目录的kibana.yml文件中，包括连接elasticsearch的地址等信息。
二、简单使用
（一）cued操作
1、增加数据
#格式： PUT 索引名称/类型/文档id { "name":"zhangsan", "age":23 }
例如：
PUT crm/user/1 { "name":"zhangsan", "age":23 }
执行结果为：
#! Deprecation: [types removal] Specifying types in document index requests is deprecated, use the typeless endpoints instead (/{index}/_doc/{id}, /{index}/_doc, or /{index}/_create/{id}). { "_index" : "crm", "_type" : "user", "_id" : "1", "_version" : 1, "result" : "created", "_shards" : { "total" : 2, "successful" : 1, "failed" : 0 }, "_seq_no" : 0, "_primary_term" : 1 }
2、删除数据
- 删除指定文档
#格式： DELETE 索引名称/类型名称/文档id
例如：
DELETE crm/user/1
执行结果：
#! Deprecation: [types removal] Specifying types in document index requests is deprecated, use the /{index}/_doc/{id} endpoint instead. { "_index" : "crm", "_type" : "user", "_id" : "1", "_version" : 2, "result" : "deleted", "_shards" : { "total" : 2, "successful" : 1, "failed" : 0 }, "_seq_no" : 1, "_primary_term" : 1 }
- 删除索引
# 格式 DELETE 索引名称
例如：
DELETE crm
执行结果为：
{ "acknowledged" : true }
3、更新数据
# 格式 POST 索引名称/类型/文档id/_update { "doc":{"age":25} }
例如：
POST crm/user/1/_update { "doc":{ "age":25 } }
执行结果：
#! Deprecation: [types removal] Specifying types in document update requests is deprecated, use the endpoint /{index}/_update/{id} instead. { "_index" : "crm", "_type" : "user", "_id" : "1", "_version" : 2, "result" : "updated", "_shards" : { "total" : 2, "successful" : 1, "failed" : 0 }, "_seq_no" : 1, "_primary_term" : 1 }
4、查询
查询有两种方式，其一为参数查询（query string），其二为结构化查询（DSL）。
- query string
# 格式 GET 索引名/类型/_search?q=age:25
实例：
GET crm/user/_search?q=age:25
执行结果为：
#! Deprecation: [types removal] Specifying types in search requests is deprecated. { "took" : 2, "timed_out" : false, "_shards" : { "total" : 1, "successful" : 1, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 1, "relation" : "eq" }, "max_score" : 1.0, "hits" : [ { "_index" : "crm", "_type" : "user", "_id" : "1", "_score" : 1.0, "_source" : { "name" : "zhangsan", "age" : 25 } } ] } }
- DSL
# 格式 GET 索引名/类型/_search { “query”:{ "match":{"age":25} } }
实例：
GET crm/user/_search { "query":{ "match":{"age":25} } }
执行结果：
#! Deprecation: [types removal] Specifying types in search requests is deprecated. { "took" : 0, "timed_out" : false, "_shards" : { "total" : 1, "successful" : 1, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 1, "relation" : "eq" }, "max_score" : 1.0, "hits" : [ { "_index" : "crm", "_type" : "user", "_id" : "1", "_score" : 1.0, "_source" : { "name" : "zhangsan", "age" : 25 } } ] } }
（二）通用查询操作
1、判断索引是否存在
# 格式 HEAD 索引名称
例如：
#输入 HEAD crm #输出 200 - OK
2、查询所有索引
#命令 GET _cat/indices
例如：
#输入 GET _cat/indices #输出 yellow open crm Z2cstTIpSvi0nmjHSgMjYA 1 1 1 0 8.3kb 8.3kb green open .kibana_1 2MWTky02QrqSJLVtfPD9aA 1 0 4 0 17.5kb 17.5kb green open .kibana_task_manager Yw1dT1Q_RtyqW2huAUkROQ 1 0 2 0 45.4kb 45.4kb
3、查询所有内容
# 命令 GET _search { "query": { "match_all": {} } }
例如：
GET _search { "query": { "match_all": {} } }
输出：
{ "took" : 2, "timed_out" : false, "_shards" : { "total" : 3, "successful" : 3, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : { "value" : 7, "relation" : "eq" }, "max_score" : 1.0, "hits" : [ { "_index" : ".kibana_1", "_type" : "_doc", "_id" : "space:default", "_score" : 1.0, "_source" : { "space" : { "name" : "Default", "description" : "This is your default space!", "color" : "#00bfb3", "_reserved" : true }, "type" : "space", "references" : [ ], "updated_at" : "2020-01-09T15:21:14.811Z" } }, { "_index" : ".kibana_1", "_type" : "_doc", "_id" : "config:7.0.0", "_score" : 1.0, "_source" : { "config" : { "buildNum" : 23117 }, "type" : "config", "references" : [ ], "updated_at" : "2020-01-09T15:21:41.656Z" } }, { "_index" : ".kibana_1", "_type" : "_doc", "_id" : "telemetry:telemetry", "_score" : 1.0, "_source" : { "telemetry" : { "enabled" : false }, "type" : "telemetry", "references" : [ ], "updated_at" : "2020-01-09T15:29:26.961Z" } }, { "_index" : ".kibana_1", "_type" : "_doc", "_id" : "maps-telemetry:maps-telemetry", "_score" : 1.0, "_source" : { "maps-telemetry" : { "mapsTotalCount" : 0, "timeCaptured" : "2020-01-11T11:51:14.760Z", "attributesPerMap" : { "dataSourcesCount" : { "min" : 0, "max" : 0, "avg" : 0 }, "layersCount" : { "min" : 0, "max" : 0, "avg" : 0 }, "layerTypesCount" : { }, "emsVectorLayersCount" : { } } }, "type" : "maps-telemetry", "references" : [ ], "updated_at" : "2020-01-11T11:51:14.761Z" } }, { "_index" : ".kibana_task_manager", "_type" : "_doc", "_id" : "Maps-maps_telemetry", "_score" : 1.0, "_source" : { "type" : "task", "task" : { "taskType" : "maps_telemetry", "state" : """{"runs":1,"stats":{"mapsTotalCount":0,"timeCaptured":"2020-01-11T11:51:14.760Z","attributesPerMap":{"dataSourcesCount":{"min":0,"max":0,"avg":0},"layersCount":{"min":0,"max":0,"avg":0},"layerTypesCount":{},"emsVectorLayersCount":{}}}}""", "params" : "{}", "attempts" : 0, "scheduledAt" : "2020-01-11T11:51:13.743Z", "runAt" : "2020-01-11T16:00:00.000Z", "status" : "idle" }, "kibana" : { "uuid" : "68f24dc0-cb43-430d-b601-005e146852c8", "version" : 7000099, "apiVersion" : 1 } } }, { "_index" : ".kibana_task_manager", "_type" : "_doc", "_id" : "oss_telemetry-vis_telemetry", "_score" : 1.0, "_source" : { "type" : "task", "task" : { "taskType" : "vis_telemetry", "state" : """{"runs":1}""", "params" : "{}", "attempts" : 1, "scheduledAt" : "2020-01-11T11:51:14.185Z", "runAt" : "2020-01-11T16:00:00.000Z", "status" : "idle" }, "kibana" : { "uuid" : "68f24dc0-cb43-430d-b601-005e146852c8", "version" : 7000099, "apiVersion" : 1 } } }, { "_index" : "crm", "_type" : "user", "_id" : "1", "_score" : 1.0, "_source" : { "name" : "zhangsan", "age" : 25 } } ] } }