Elasticsearch全文搜索的解决方案,走了不少弯路

在对Elasticsearch进行全文搜索时,走了不少弯路。其实最终发现就一点点设置要的问题。

1.注意在mapping里面将_all enabled

示例:

{
    "template": "dbagent_*",
    "settings": {
        "index.number_of_shards": 5,
        "number_of_replicas": 1
    },
    "mappings": {
        "_default_": {
            "_all": {
                "enabled": "true"
            },
            "_source": {
                "enabled": true,
                "compress": true
            },
            "properties": {
                "_id": {
                    "type": "string",
                    "index": "not_analyzed"
                },
                "timestamp": {
                    "enabled": true,
                    "type": "date",
                    "format": "dateOptionalTime"
                },
                "host": {
                    "type": "string",
                    "index": "not_analyzed"
                }
            }
        },
	"access":{
		"properties":{
	          "status":{
			  "type":"integer"
		  },
                  "chost": {
                          "type": "ip",
                          "index": "not_analyzed"
                   },
 		  "interface":{
			   "dynamic":true,			
			   "type":"string",
			   "index":"not_analyzed"
		    }
		}
	},
        "error":{
 		"properties":{
			"pid":{
				"type":"integer"
			},
			"level":{
				"type":"integer"
			},
			"msg":{
				"type":"string",
				"index":"not_analyzed"
			},
			"ctime":{
				"dynamic":true,
				"type":"long"
			},
			"interface":{
				"dynamic":true,			
				"type":"string",
				"index":"not_analyzed"
			},
			"para":{
				"dynamic":true,				
				"type":"string",
				"index":"not_analyzed"
			},
               		"chost": {
				"dynamic":true, 	         	    	
                  	    	"type": "ip",
                  	    	"index": "not_analyzed"
                        },
			"message":{
				"type":"string",
				"index":"not_analyzed"
			}
		}
	}
    }
}


搜索时:

{"query":{"bool":{"must":[{"query_string":{"default_field":"_all","query":"455"}}],"must_not":[],"should":[]}},"from":0,"size":10,"sort":[],"facets":{}}

es 对 _all的解释

url:http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/mapping-all-field.html

原文:

The idea of the _all field is that it includes the text of one or more other fields within the document indexed. It can come very handy especially for search requests, where we want to execute a search query against the content of a document, without knowing which fields to search on. This comes at the expense of CPU cycles and index size.

The _all fields can be completely disabled. Explicit field mappings and object mappings can be excluded / included in the _all field. By default, it is enabled and all fields are included in it for ease of use.

When disabling the _all field, it is a good practice to set index.query.default_field to a different value (for example, if you have a main "message" field in your data, set it to message).

One of the nice features of the _all field is that it takes into account specific fields boost levels. Meaning that if a title field is boosted more than content, the title (part) in the _all field will mean more than the content (part) in the _all field.

Here is a sample mapping:

{
   
"person" : {
       
"_all" : {"enabled" : true},
       
"properties" : {
           
"name" : {
               
"type" : "object",
               
"dynamic" : false,
               
"properties" : {
                   
"first" : {"type" : "string", "store" : true , "include_in_all" : false},
                   
"last" : {"type" : "string", "index" : "not_analyzed"}
               
}
           
},
           
"address" : {
               
"type" : "object",
               
"include_in_all" : false,
               
"properties" : {
                   
"first" : {
                       
"properties" : {
                           
"location" : {"type" : "string", "store" : true, "index_name" : "firstLocation"}
                       
}
                   
},
                   
"last" : {
                       
"properties" : {
                           
"location" : {"type" : "string"}
                       
}
                   
}
               
}
           
},
           
"simple1" : {"type" : "long", "include_in_all" : true},
           
"simple2" : {"type" : "long", "include_in_all" : false}
       
}
   
}
}

The _all fields allows for storeterm_vector and analyzer (with specific index_analyzerand search_analyzer) to be set.

highlightingedit

For any field to allow highlighting it has to be either stored or part of the _source field. By default the _all field does not qualify for either, so highlighting for it does not yield any data.

Although it is possible to store the _all field, it is basically an aggregation of all fields, which means more data will be stored, and highlighting it might produce strange results.


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