一、安裝
Elasticsearch是一個基於Apache Lucene(TM)的開源搜索引擎。它提供了一個分布式多用戶能力的全文搜索引擎，基於RESTful web接口。
（一）Elasticsearch下載與安裝
1、Elasticsearch的下載
官網下載有時太慢，這里分享一個鏈接：鏈接：https://pan.baidu.com/s/1u-3M4yr7zTjioYQZQKCeYQ 提取碼：vfr3
下載完成后進行解壓，進入到如下目錄：
可以看到里面有一個jdk的文件夾，所以你先需要將jdk的環境配置好：
2、配置jdk環境
- JAVA_HOME配置
在系統環境變量中配置JAVA_HOME變量
- 配置classpath
.;%JAVA_HOME%\lib;%JAVA_HOME%\lib\tools.jar
- 編輯Path
%JAVA_HOME%\bin\;%JAVA_HOME%\jre\bin;
- 測試是否安裝成功
3、啟動Elasticsearch
可以進入到其bin目錄下，點擊elasticsearch.bat直接運行：
但是不出意外的話，應該很大可能失敗，此時我們需要看看錯誤信息，需要在cmd串口中進行運行，錯誤信息有以下情況：
- 錯誤一
OpenJDK 64-Bit Server VM warning: Option UseConcMarkSweepGC was deprecated in ve
rsion 9.0 and will likely be removed in a future release.
此時，我們需要修改elasticsearch目錄下的congfig目錄下的jvm.options文件：
將-XX:+UseConcMarkSweepGC修改為-XX:+UseG1GC即可。
- 錯誤二
Error occurred during initialization of VM
Initial heap size set to a larger value than the maximum heap size
此時我們還是修改上述配置文件，只需要將堆容量設置的小一些就可以了：
這里我將之前的1G修改為500M，然后保存文件並重新啟動就ok了，成功啟動后我們可以進行驗證，訪問9200端口：
其詳細配置信息位於config目錄下的elasticsearch.yml文件中。
（二）kibana的下載與安裝
kibana是elasticsearch的web版客戶端，我們可以通過它來連接已經啟動的elasticsearch，這樣操作起來就會更方便，注意的是kibana的版本必須與elasticsearch的版本保持一致，這里提供了資源地址：
鏈接：https://pan.baidu.com/s/1sBaGUzxYxe5nX8SKPK9AKQ
提取碼：6ba4
下載完成並且進行解壓，然后進入到bin目錄下：
直接點擊kibana.bat就會自動啟動運行，它會自動連接elasticsearch服務器，我們通過默認端口5601可以進行訪問：
kibana的詳細配置在其config目錄的kibana.yml文件中，包括連接elasticsearch的地址等信息。
二、簡單使用
（一）cued操作
1、增加數據
#格式： PUT 索引名稱/類型/文檔id { "name":"zhangsan", "age":23 }
例如：
PUT crm/user/1 { "name":"zhangsan", "age":23 }
執行結果為：
#! 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、刪除數據
- 刪除指定文檔
#格式： DELETE 索引名稱/類型名稱/文檔id
例如：
DELETE crm/user/1
執行結果：
#! 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 }
- 刪除索引
# 格式 DELETE 索引名稱
例如：
DELETE crm
執行結果為：
{ "acknowledged" : true }
3、更新數據
# 格式 POST 索引名稱/類型/文檔id/_update { "doc":{"age":25} }
例如：
POST crm/user/1/_update { "doc":{ "age":25 } }
執行結果：
#! 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、查詢
查詢有兩種方式，其一為參數查詢（query string），其二為結構化查詢（DSL）。
- query string
# 格式 GET 索引名/類型/_search?q=age:25
實例：
GET crm/user/_search?q=age:25
執行結果為：
#! 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/類型/_search { “query”:{ "match":{"age":25} } }
實例：
GET crm/user/_search { "query":{ "match":{"age":25} } }
執行結果：
#! 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）通用查詢操作
1、判斷索引是否存在
# 格式 HEAD 索引名稱
例如：
#輸入 HEAD crm #輸出 200 - OK
2、查詢所有索引
#命令 GET _cat/indices
例如：
#輸入 GET _cat/indices #輸出 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、查詢所有內容
# 命令 GET _search { "query": { "match_all": {} } }
例如：
GET _search { "query": { "match_all": {} } }
輸出：
{ "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 } } ] } }