Elastic Search(一)

一. 安装插件

1. Marvel集群管理

   root@lj-ThinkPad-L460:~# sudo bin/plugin install license
   root@lj-ThinkPad-L460:~# sudo bin/plugin install marvel-agent
   
   访问 http://localhost:9200/_plugin/marvel/
   

2. Kibana 4.5.1可视化

   root@lj-ThinkPad-L460:~# wget https://download.elastic.co/kibana/kibana/kibana-4.5.1-linux-x64.tar.gz
   root@lj-ThinkPad-L460:~# vim  config/kibana.yml
   Set the elasticsearch.url 
   root@lj-ThinkPad-L460:~# ./bin/kibana 运行
   
   访问 http://yourhost.com:5601
   

3. 启动es

   ./elasticsearch --cluster.name my_cluster_name --node.name my_node_name
   

二.快速入门

1. 管理

   #1.cluster healthy
   curl 'localhost:9200/_cat/health?v'
   #2. nodes in our cluster
   curl 'localhost:9200/_cat/nodes?v'
   #3.list all indices
   curl 'localhost:9200/_cat/indices?v'
   

2. customer例子

   #1. create an index named "customer" and then list all the indexes again:
   ➜  ~ curl 'localhost:9200/_cat/indices?v'
   ➜  ~ curl 'localhost:9200/_cat/indices?v'
   
   #2. Let’s index a simple customer document into the customer index, "external" type, with an ID of 1 
   ➜  ~ curl -XPUT 'localhost:9200/customer/external/1?pretty' -d '
   {
     "name": "John Doe"
   }'
   
   # ip:port/index name/type/id
   ➜  ~ curl -XGET 'localhost:9200/customer/external/1?pretty'
   {
     "_index" : "customer",
     "_type" : "external",
     "_id" : "1",
     "_version" : 1,
     "found" : true,
     "_source" : {
       "name" : "John Doe"  # full json
     }
   }
   
   #3. delete the index that we just created 
   #   curl -X<REST Verb> <Node>:<Port>/<Index>/<Type>/<ID>
   ➜  ~ curl -XGET 'localhost:9200/customer/external/1?pretty'
   
   
   #4. batch processing
   ➜  ~ curl -XPOST 'localhost:9200/customer/external/_bulk?pretty' -d '
   {"index":{"_id":"1"}}
   {"name": "John ss" }
   {"index":{"_id":"2"}}
   {"name": "Jane Doe" }
   '
   

3. bank例子

   #1. download json file : https://github.com/bly2k/files/blob/mas
   #2. load file
   ➜  ~ curl -XPOST 'localhost:9200/bank/account/_bulk?pretty' --data-binary "@accounts.json"
   ➜  ~ curl 'localhost:9200/_cat/indices?v'      
   health status index                   pri rep docs.count docs.deleted store.size pri.store.size 
   yellow open   bank                      5   1       1000            0    442.1kb        442.1kb 
   yellow open   .marvel-es-1-2016.06.14   1   1       4816           26      1.9mb          1.9mb 
   yellow open   .marvel-es-data-1         1   1          4            2     12.2kb         12.2kb 
   yellow open   .kibana                   1   1          1            0      3.1kb          3.1kb 
   yellow open   customer                  5   1          2            0      6.5kb          6.5kb 
   
   #3. search api
   ➜  ~ curl 'localhost:9200/bank/_search?q=*&pretty'
   {
     "took" : 89,        #time in milliseconds for Elasticsearch to execute the search
     "timed_out" : false,     #if the search timed out or not
     "_shards" : {            #how many shards were searched, as well as a count of the successful/failed searched shards
       "total" : 5,
       "successful" : 5,
       "failed" : 0
     },
     "hits" : {              #search results
       "total" : 1000,       # total number of documents matching our search criteria
       "max_score" : 1.0,
       "hits" : [ {
         "_index" : "bank",
         "_type" : "account",
         "_id" : "25",
         "_score" : 1.0,
         "_source" : {
           "account_number" : 25,
           "balance" : 40540,
           "firstname" : "Virginia",
           "lastname" : "Ayala",
           "age" : 39,
           "gender" : "F",
           "address" : "171 Putnam Avenue",
           "employer" : "Filodyne",
           "email" : "virginiaayala@filodyne.com",
           "city" : "Nicholson",
           "state" : "PA"
         }
       }, {
   
   # instead of passing q=* in the URI, we POST a JSON-style query : Json Query DSL
   ➜  ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
   {
     "query": { "match_all": {} }
   }'
   ➜  ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
   {
     "query": { "match_all": {} },
     "from": 10,
     "size": 10,
     "sort": { "balance": { "order": "desc" } },
     "_source": ["account_number", "balance"]      #显示的字段
   }'
   #where条件
   ➜  ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
   {
     "query": { "match": { "account_number": 20 } }
   }'
   
   # and or条件查询语法
   ➜  ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
   {
     "query": {
       "bool": {     
         "must": [   
           { "match": { "address": "mill" } },
           { "match": { "address": "lane" } }
         ]
       }
     }
   }'#"bool":bool型查询     #"must":and    "should":or   "must_not":neither..nor
   
   #范围查询
   ➜  ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
   {
     "query": {
       "bool": {
         "must": { "match_all": {} },
         "filter": {
           "range": {
             "balance": {
               "gte": 20000,
               "lte": 30000
             }
           }
         }
       }
     }
   }' # "gte":大于   "lte":小于
   
   #group by
   #SELECT state, COUNT(*) FROM bank GROUP BY state ORDER BY COUNT(*) DESC
   ➜  ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
   {
     "size": 0,
     "aggs": {
       "group_by_state": {
         "terms": {
           "field": "state"
         }
       }
     }
   }'