Elasticsearch的安装与简单使用
作者：互联网
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\tools.jar
- 编辑Path
%JAVA_HOME%\bin\;%JAVA_HOME%\jre\bin;
- 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
}
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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
}
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- 删除索引
# 格式 DELETE 索引名称
例如：
DELETE crm
执行结果为：
{
"acknowledged" : true
}
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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
}
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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
}
}
]
}
}
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- 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
}
}
]
}
}
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（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
}
}
]
}
}
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标签：index,type,telemetry,kibana,Elasticsearch,简单,安装,id,crm 来源： https://www.cnblogs.com/shenjianping/p/12180396.html