Elasticsearch 学习笔记

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curl  -XPUT 'localhost:9200/megacorp/employee/3' -d '
{
    "first_name" :  "Douglas",
    "last_name" :   "Fir",
    "age" :         35,
    "about":        "I like to build cabinets",
    "interests":  [ "forestry" ]
}'

curl  -XGET 'localhost:9200/megacorp/employee/1'

curl  -XGET 'localhost:9200/megacorp/employee/_search'
curl  -XGET 'localhost:9200/megacorp/employee/_search?q=last_name:Smith'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
    "query" : {
        "match" : {
            "last_name" : "Smith"
        }
    }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
    "query" : {
        "filtered" : {
            "filter" : {
                "range" : {
                    "age" : { "gt" : 30 }
                }
            },
            "query" : {
                "match" : { "last_name" : "smith" }
            }
        }
    }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
    "query" : {
        "match" : {
            "about" : "rock climbing"
        }
    }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
    "query" : {
        "match_phrase" : {
            "about" : "rock climbing"
        }
    }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
    "query" : {
        "match_phrase" : {
            "about" : "rock climbing"
        }
    },
    "highlight": {
        "fields" : {
            "about" : {}
        }
    }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
  "aggs": {
    "all_interests": {
      "terms": { "field": "interests" }
    }
  }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
  "query": {
    "match": {
      "last_name": "smith"
    }
  },
  "aggs": {
    "all_interests": {
      "terms": {
        "field": "interests"
      }
    }
  }
}'

curl  -XGET 'localhost:9200/megacorp/employee/_search' -d '
{
    "aggs" : {
        "all_interests" : {
            "terms" : { "field" : "interests" },
            "aggs" : {
                "avg_age" : {
                    "avg" : { "field" : "age" }
                }
            }
        }
    }
}'

curl  -XGET 'localhost:9200/_cluster/health'

我们的文档存储在分片中，并且在分片中被索引，但是我们的应用程序不会直接与它们通信，取而代之的是，直接与索引通信。

curl  -XPUT 'localhost:9200/blogs' -d '
{
   "settings" : {
      "number_of_shards" : 3,
      "number_of_replicas" : 1
   }
}'

PUT /{index}/{type}/{id}
{
  "field": "value",
  ...
}

curl  -XGET 'localhost:9200/megacorp/employee/1?pretty'

curl  -XGET 'localhost:9200/megacorp/employee/1?pretty&_source=first_name,last_name'

curl  -XGET 'localhost:9200/megacorp/employee/1/_source'

curl -i -XHEAD 'localhost:9200/megacorp/employee/1'

curl  -XPUT 'localhost:9200/megacorp/employee/3?op_type=create'  -d '
{
    "first_name" :  "Douglas",
    "last_name" :   "Fir",
    "age" :         35,
    "about":        "I like to build cabinets",
    "interests":  [ "forestry" ]
}'

curl  -XPUT 'localhost:9200/megacorp/employee/4/_create'  -d '
{
    "first_name" :  "Douglas",
    "last_name" :   "Fir",
    "age" :         35,
    "about":        "I like to build cabinets",
    "interests":  [ "forestry" ]
}'

curl  -XDELETE 'localhost:9200/megacorp/employee/4'

timeout

curl  -XGET 'localhost:9200/megacorp/employee/_search?q=+first_name:Jane+last_name:Smith'

curl  -XGET 'localhost:9200/megacorp/employee/_search?q=Smith'

{
	"tag": {
		"type": "string",
		"index": "not_analyzed"   
	}
}

Elasticsearch将使用动态映射猜测字段类型，这类型来自于JSON的基本数据类型，使用以下规则：
Boolean: true or false			"boolean"
Whole number: 123			"long"
Floating point: 123.45			"double"
String, valid date: "2014-09-15"	"date"
String: "foo bar"			"string"

PUT /gb/_mapping/tweet
{
	"properties" : {
		"tag" : {
		"type" : "string",
		"index": "not_analyzed"
		}
	}
}

curl  -XGET 'localhost:9200/megacorp/_mapping/employee/'

{
    "tweet": "Elasticsearch is very flexible",
    "user": {
        "id": "@johnsmith",
        "gender": "male",
        "age": 26,
        "name": {
            "full": "John Smith",
            "first": "John",
            "last": "Smith"
        }
    }
}

"user.name.full": [john, smith],
"user.name.first": [john],
"user.name.last": [smith]

********查询与过滤

{
    "query": {
        "match": {
            "tweet": "elasticsearch"
        }
    }
}

{
	"bool": {
	   "must": { "match": { "tweet": "elasticsearch" }},
	   "must_not": { "match": { "name": "mary" }}, 
	   "should": { "match": { "tweet": "full text" }}
	}
}

	{ "term": { "age": 26 }}

{
    "query": {
        "filtered": {  -- filtered 查询同时接受接受 query 与 filter
            "query": {
                "match_all": { }  -- match_all 用来匹配所有文档
            },
            "filter": {
                "term": {  -- term 过滤器
                    "price": 20
                }
            }
        }
    }
}

{
    "terms": {
        "tag": [ "search", "full_text", "nosql" ]
    }
}

{
    "query": {
        "filtered": {
            "filter": {
                "terms": {
                    "price": [ 20, 30 ]
                }
            }
        }
    }
}

{
    "range": {
        "age": {
            "gte": 20,
            "lt": 30
        }
    }
}

{
    "range": {
        "timestamp": {
            "gt": "now-1h"   -- 找出所有时间戳大于当前时间减 1 小时的文档
        }
    }
}

{
    "exists": {
        "field": "title"
    }
}

{
	"bool": {
	  "must": { "term": { "folder": "inbox" }},
	  "must_not": { "term": { "tag": "spam" }},
	  "should": [
		{ "term": { "starred": true }},
		{ "term": { "unread": true }}
	  ]
	}
}

{
    "match": {
        "tweet": "About Search"
    }
}

match 下指定了一个确切值

{
    "multi_match": {
        "query": "full text search",
        "fields": [ "title", "body" ]
    }
}

{
    "bool": {
        "must": {
            "match": {  "title": "how to make millions" }
        },
        "must_not": {
            "match": { "tag": "spam"}
        },
        "should": [
            { "match": {"tag": "starred" } },
            { "range": { "date": {"gte": "2014-01-01"} } }
        ]
    }
}

{
    "filtered": {
        "query": {
            "match": { "email": "business opportunity" }
        },
        "filter": {
            "term": { "folder": "inbox" }
        }
    }
}

{
    "filtered": {
        "query": { "match_all": {}}, -- 查询语句可以省略 相当于 match all
        "filter": {
            "term": { "folder": "inbox" }
        }
    }
}

GET /_search
{
    "query": {
        "filtered": {
            "filter": {
                "term": {"user_id": 1 }
            }
        }
    },
    "sort": {
        "date": { "order": "desc" }
    }
}

"sort": [
   { "date":   { "order": "desc" }},
   { "_score": { "order": "desc" }}
]

------------------------索引管理---------------------------

"name": {
   "type": "string",
   "analyzer": "whitespace"
}

{
    "mappings": {
        "my_type": {
            "dynamic": "strict", -- 当遇到未知字段时， my_type 对象将会抛出异常
             "properties": {
                "title": {
                    "type": "string"
                },
                "stash": {
                    "type": "object",
                    "dynamic": true -- stash 对象会自动创建字段
                }
            }
        }
    }
}

{
    "mappings": {
        "my_type": {
            "dynamic_templates": [
                {
                    "es": {  -- 名称
                        "match": "*_es",   -- 字段名以 _es 结尾需要使用 spanish 分析器
                        "match_mapping_type": "string",
                        "mapping": {
                            "type": "string",
                            "analyzer": "spanish"
                        }
                    }
                },
                {
                    "en": {
                        "match": "*",  -- 所有其他字段使用 english 分析器。 匹配所有字符串类型字段
                        "match_mapping_type": "string",
                        "mapping": {
                            "type": "string",
                            "analyzer": "english"
                        }
                    }
                }
            ]
        }
    }
}

{
    "mappings": {
        "_default_": {
            "_all": { "enabled": false }  -- 映射对所有类型禁用 _all 字段
        },
        "blog": {
            "_all": { "enabled": true }    -- 只在 blog 字段上开启 _all 字段
        }
    }
}

GET /megacorp/employee/_search


{
    "aggs": {
        "all_interests": {
            "terms": {
                "field": "interests"
            },
            "aggs": {
                "avg_age": {
                    "avg": {
                        "field": "age"
                    }
                }
            }
        }
    }
}

curl 192.168.1.201:9200/_cat/indices?v

curl  -XDELETE '192.168.1.201:9200/razor_cd'


curl  -XDELETE '192.168.1.201:9200/razor_event'


curl  -XDELETE '192.168.1.201:9200/razor_usinglog'


curl  -XDELETE '192.168.1.201:9200/razor_app'


curl  -XDELETE '192.168.1.201:9200/razor_tag'

curl  -XGET '192.168.1.201:9200/razor_cd/clientdata/_search?pretty=true'


curl  -XGET '192.168.1.201:9200/razor_app/app_info/_search?pretty=true'


curl  -XGET '192.168.1.201:9200/razor_tag/app_tag/_search?pretty=true'


curl  -XGET '192.168.1.201:9200/razor_event/event/_search?pretty=true'


curl  -XGET '192.168.1.201:9200/razor_usinglog/usinglog/_search?pretty=true'

curl  -XGET '192.168.1.201:9200/razor_app/app_info/_search?pretty=true' -d '
{
    "query": {
        "range": {
            "localtime": {
                "gte": "2016-03-28 00:00:00",
                "lt": "2016-03-28 10:08:00"
            }
        }
    }
}'

curl  -XGET '192.168.1.201:9200/razor_app/app_info/_search?pretty=true' -d '
{
    "query": {
        "match": {
            "user_id": "0c5ead1ca4bda378f0784440eda92700"
        }
    }
}'

curl  -XGET '192.168.1.201:9200/razor_cd/clientdata/_search?pretty=true' -d '
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "user_id": "a8013699209"
          }
        },
        {
          "match": {
            "product_id": "10028147"
          }
        }
      ]
    }
  },
  "sort": {
    "localtime": {
      "order": "desc"
    }
  },
  "from": 0,
  "size": 100
}
'

Elasticsearch 学习笔记

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原文地址：http://blog.csdn.net/liuwenbo0920/article/details/51189712