ElasticSearch:没有为[match]注册过滤器

Question

我正在尝试对我的ElasticSearch Server执行此查询.

{
    "query" : {
        "match" : {
            "name" : "network"
        }
    },
    "facets" : {
        "departments" : { 
            "terms" : {
                "field" : "department_name"
            } 
        }
    },

    "filter" : {
        "bool": {
            "should": [
                { "match" : {"department_name" : "book"}},
                { "match" : {"department_name" : "electronics"}}]            
        }   
    }
}

基本上,我想检索所有在其名称匹配的"网络"的产品,但过滤只有那些department_name符合任一book或electronics.当我执行此查询时,我收到此错误消息.

curl -X POST "http://localhost:9200/products/_search?pretty=true" -d '{
    "query" : {
        "match" : {
            "name" : "network"
        }
    },
    "facets" : {
        "departments" : { 
            "terms" : {
                "field" : "department_name"
            } 
        }
    },

    "filter" : {
        "bool": {
            "should": [
                { "match" : {"department_name" : "book"}},
                { "match" : {"department_name" : "electronics"}}]            
        }   
    }
}
'

{
  "error" : "SearchPhaseExecutionException[Failed to execute phase [query], all shards failed; shardFailures {[EaNRci0OSIqpA2EAPwAA6w][products][4]: SearchParseException[[products][4]: query[name:network],from[-1],size[-1]: Parse Failure [Failed to parse source [{\n    \"query\" : {\n        \"match\" : {\n            \"name\" : \"network\"\n        }\n    },\n    \"facets\" : {\n        \"departments\" : { \n            \"terms\" : {\n                \"field\" : \"department_name\"\n            } \n        }\n    },\n\n    \"filter\" : {\n        \"bool\": {\n            \"should\": [\n                { \"match\" : {\"department_name\" : \"book\"}},\n                { \"match\" : {\"department_name\" : \"electronics\"}}]            \n        }   \n    }\n}\n]]]; nested: QueryParsingException[[products] No filter registered for [match]]; }{[EaNRci0OSIqpA2EAPwAA6w][products][0]: SearchParseException[[products][0]: query[name:network],from[-1],size[-1]: Parse Failure [Failed to parse source [{\n    \"query\" : {\n        \"match\" : {\n            \"name\" : \"network\"\n        }\n    },\n    \"facets\" : {\n        \"departments\" : { \n            \"terms\" : {\n                \"field\" : \"department_name\"\n            } \n        }\n    },\n\n    \"filter\" : {\n        \"bool\": {\n            \"should\": [\n                { \"match\" : {\"department_name\" : \"book\"}},\n                { \"match\" : {\"department_name\" : \"electronics\"}}]            \n        }   \n    }\n}\n]]]; nested: QueryParsingException[[products] No filter registered for [match]]; }{[EaNRci0OSIqpA2EAPwAA6w][products][1]: SearchParseException[[products][1]: query[name:network],from[-1],size[-1]: Parse Failure [Failed to parse source [{\n    \"query\" : {\n        \"match\" : {\n            \"name\" : \"network\"\n        }\n    },\n    \"facets\" : {\n        \"departments\" : { \n            \"terms\" : {\n                \"field\" : \"department_name\"\n            } \n        }\n    },\n\n    \"filter\" : {\n        \"bool\": {\n            \"should\": [\n                { \"match\" : {\"department_name\" : \"book\"}},\n                { \"match\" : {\"department_name\" : \"electronics\"}}]            \n        }   \n    }\n}\n]]]; nested: QueryParsingException[[products] No filter registered for [match]]; }{[EaNRci0OSIqpA2EAPwAA6w][products][2]: SearchParseException[[products][2]: query[name:network],from[-1],size[-1]: Parse Failure [Failed to parse source [{\n    \"query\" : {\n        \"match\" : {\n            \"name\" : \"network\"\n        }\n    },\n    \"facets\" : {\n        \"departments\" : { \n            \"terms\" : {\n                \"field\" : \"department_name\"\n            } \n        }\n    },\n\n    \"filter\" : {\n        \"bool\": {\n            \"should\": [\n                { \"match\" : {\"department_name\" : \"book\"}},\n                { \"match\" : {\"department_name\" : \"electronics\"}}]            \n        }   \n    }\n}\n]]]; nested: QueryParsingException[[products] No filter registered for [match]]; }{[EaNRci0OSIqpA2EAPwAA6w][products][3]: SearchParseException[[products][3]: query[name:network],from[-1],size[-1]: Parse Failure [Failed to parse source [{\n    \"query\" : {\n        \"match\" : {\n            \"name\" : \"network\"\n        }\n    },\n    \"facets\" : {\n        \"departments\" : { \n            \"terms\" : {\n                \"field\" : \"department_name\"\n            } \n        }\n    },\n\n    \"filter\" : {\n        \"bool\": {\n            \"should\": [\n                { \"match\" : {\"department_name\" : \"book\"}},\n                { \"match\" : {\"department_name\" : \"electronics\"}}]            \n        }   \n    }\n}\n]]]; nested: QueryParsingException[[products] No filter registered for [match]]; }]",
  "status" : 400
}

我想这里的关键是QueryParsingException[[products] No filter registered for [match]],但不能理解这里有什么问题.

Answer 1

match 是一个查询,而不是一个过滤器.

term在这种情况下,你可能想要-filter.

Answer 2

Elasticsearch高级过滤

这是一种可以在bool中使用匹配的方法:

{
  "query": {
    "filtered": {
      "query": { //THIS IS THE MAIN SEARCH BLOCK FOR ALL RESULTS
        "match": { 
          "title": { 
            "query": "[MAIN_SEARCH_TERM]", 
            "minimum_should_match": "75%"
          }
        }
      },
      "filter": {
        "bool": {
          "must": [
            {
              "range": { //THIS FILTERS BY DATES GRATER THAN [SOME_DATE]
                "date": {
                  "gte":"[SOME DATE]"
                }
              }
            },
            {
              "geo_distance": { //THIS FILTERS BY GEO POINTS WITHIN [DISTANCE] of [LATITUDE], [LONGITUDE]
                "distance": "[DISTANCE](mi, km)",
                "location": {
                  "lat":"[LATITUDE]",
                  "lon":"[LONGITUDE]"
                }
              }
            }
          ],
          "should": [
            {
              "query": { //THIS FILTERS BY ANOTHER [MATCH_TERM] AND ADDS BOOST TO THAT TERM, YOU CAN USE MULTIPLE OF THESE WITH DIFFERENT [BOOST_INT]
                "match": { 
                  "[PROPERTY]": {
                    "query": "[MATCH_TERM]",
                    "boost": [BOOST_INT]
                  }
                }
              }
            }
          ]
        }
      }
    }
  }
}

参考链接:http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/query-time-boosting.html

在使用geo_point匹配和日期范围过滤之前,请确保您了解_mapping:http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/mapping.html