ES安装以及使用_es全文检索 kaban

作者：从前慢现在也慢 | 2024-07-28 13:17:06

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es全文检索 kaban

1.安装

java升级到jdk8，下载es

https://www.elastic.co/downloads/elasticsearch

解压es压缩包，启动es

./bin/elasticsearch

访问ES：http://localhost:9200/

显示：


{
  "name" : "pleYB0j",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "tRrh3XC_Rka1huf1zMOTSg",
  "version" : {
    "number" : "5.3.0",
    "build_hash" : "3adb13b",
    "build_date" : "2017-03-23T03:31:50.652Z",
    "build_snapshot" : false,
    "lucene_version" : "6.4.1"
  },
  "tagline" : "You Know, for Search"
}

2.ES命令

参考：https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html

ES命令格式：
curl -<REST Verb> <Node>:<Port>/<Index>/<Type><ID>

2.1创建索引

curl -XPUT 'localhost:9200/customer?pretty'

第一个命令使用PUT创建了一个叫做“customer”的索引。我们简单地将pretty附加到调用的尾部，使其以美观的形式打印出JSON响应

访问：http://localhost:9200/_cat/indices?v


health status index    uuid                   pri rep docs.count docs.deleted store.size pri.store.size
yellow open   customer -D-eQGuNT-uG-g0MkuiBGg   5   1          0            0       650b           650b

第二个命令的结果告知我们，我们现在有一个叫做customer的索引，并且它有5个主分片和1份复制（都是默认值），其中包含0个文档。

2.2索引并查询文档

curl -XPUT 'localhost:9200/customer/external/1?pretty' -d ' {"name": "John Doe"}'

输出：


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

将一个简单的客户文档索引到customer索引、“external”类型中，这个文档的ID是1
取出文档：

 curl -XGET 'localhost:9200/customer/external/1?pretty'

结果：


{
  "_index" : "customer",
  "_type" : "external",
  "_id" : "1",
  "_version" : 1,
  "found" : true,
  "_source" : {
    "name" : "John Doe"
  }
}

除了一个叫做found的字段来指明我们找到了一个ID为1的文档，和另外一个字段——_source——返回我们前一步中索引的完整JSON文档之外，其它的都没有什么特别之处。

2.3删除索引

curl -XDELETE 'localhost:9200/customer?pretty'

3.DEMO

导入测试数据

curl -XPOST 'localhost:9200/bank/account/_bulk?pretty' --data-binary @accounts.json

测试数据acounts.json，有两条数据，如下所示：


{"index":{"_id":"1"}}
{"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"}
{"index":{"_id":"6"}}
{"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"}

查询数据：

  curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match": { "account_number": 1 } } }'

结果：


{
  "took" : 11,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "1",
        "_score" : 1.0,
        "_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"
        }
      }
    ]
  }
}

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