Elasticsearch：在分面时排除过滤器可能吗？ （就像在 Solr 中一样）

我正在考虑从 Solr 更改为 ES。 我找不到相关信息的一件事是 ES 是否允许我在分面时定义排除过滤器。

例如考虑producttype具有值：A,B,C我想关注这一点（即：显示计数）。还要考虑查询被限制为producttype: A.

在这种情况下，Solr 允许我指定我想要排除约束producttype: A影响刻面producttype。 IOW，它显示计数producttype就好像约束producttype: A尚未应用。

如何在 Solr 中执行此操作请参阅：http://wiki.apache.org/solr/SimpleFacetParameters http://wiki.apache.org/solr/SimpleFacetParameters> 标记和排除过滤器

在 ElasticSearch 中有什么办法可以做到这一点吗？

是的你可以。

虽然您可以在查询 DSL 中使用过滤器，但搜索 API 还接受顶级filter参数，用于在计算facet之后过滤搜索结果。

例如：

1）首先，创建你的索引，因为你想要product_type要被视为枚举，请将其设置为not_analyzed:

curl -XPUT 'http://127.0.0.1:9200/my_index/?pretty=1'  -d '
{
   "mappings" : {
      "product" : {
         "properties" : {
            "product_type" : {
               "index" : "not_analyzed",
               "type" : "string"
            },
            "product_name" : {
               "type" : "string"
            }
         }
      }
   }
}
'

2）索引一些文档（注意，文档3有不同的product_name):

curl -XPUT 'http://127.0.0.1:9200/my_index/product/1?pretty=1'  -d '
{
   "product_type" : "A",
   "product_name" : "foo bar"
}
'
curl -XPUT 'http://127.0.0.1:9200/my_index/product/2?pretty=1'  -d '
{
   "product_type" : "B",
   "product_name" : "foo bar"
}
'
curl -XPUT 'http://127.0.0.1:9200/my_index/product/3?pretty=1'  -d '
{
   "product_type" : "C",
   "product_name" : "bar"
}
'

3) 搜索名称包含以下内容的产品foo（不包括 doc 3，因此product_type C），计算面product_type对于所有具有foo in the product_name，然后按以下条件过滤搜索结果product_type == A:

curl -XGET 'http://127.0.0.1:9200/my_index/product/_search?pretty=1'  -d '
{
   "query" : {
      "text" : {
         "product_name" : "foo"
      }
   },
   "filter" : {
      "term" : {
         "product_type" : "A"
      }
   },
   "facets" : {
      "product_type" : {
         "terms" : {
            "field" : "product_type"
         }
      }
   }
}
'

# {
#    "hits" : {
#       "hits" : [
#          {
#             "_source" : {
#                "product_type" : "A",
#                "product_name" : "foo bar"
#             },
#             "_score" : 0.19178301,
#             "_index" : "my_index",
#             "_id" : "1",
#             "_type" : "product"
#          }
#       ],
#       "max_score" : 0.19178301,
#       "total" : 1
#    },
#    "timed_out" : false,
#    "_shards" : {
#       "failed" : 0,
#       "successful" : 5,
#       "total" : 5
#    },
#    "facets" : {
#       "product_type" : {
#          "other" : 0,
#          "terms" : [
#             {
#                "count" : 1,
#                "term" : "B"
#             },
#             {
#                "count" : 1,
#                "term" : "A"
#             }
#          ],
#          "missing" : 0,
#          "_type" : "terms",
#          "total" : 2
#       }
#    },
#    "took" : 3
# }

4) 执行搜索foo in the product_name，但通过指定来计算索引中所有产品的构面global范围：

# [Wed Jan 18 17:15:09 2012] Protocol: http, Server: 192.168.5.10:9200
curl -XGET 'http://127.0.0.1:9200/my_index/product/_search?pretty=1'  -d '
{
   "query" : {
      "text" : {
         "product_name" : "foo"
      }
   },
   "filter" : {
      "term" : {
         "product_type" : "A"
      }
   },
   "facets" : {
      "product_type" : {
         "global" : 1,
         "terms" : {
            "field" : "product_type"
         }
      }
   }
}
'

# [Wed Jan 18 17:15:09 2012] Response:
# {
#    "hits" : {
#       "hits" : [
#          {
#             "_source" : {
#                "product_type" : "A",
#                "product_name" : "foo bar"
#             },
#             "_score" : 0.19178301,
#             "_index" : "my_index",
#             "_id" : "1",
#             "_type" : "product"
#          }
#       ],
#       "max_score" : 0.19178301,
#       "total" : 1
#    },
#    "timed_out" : false,
#    "_shards" : {
#       "failed" : 0,
#       "successful" : 5,
#       "total" : 5
#    },
#    "facets" : {
#       "product_type" : {
#          "other" : 0,
#          "terms" : [
#             {
#                "count" : 1,
#                "term" : "C"
#             },
#             {
#                "count" : 1,
#                "term" : "B"
#             },
#             {
#                "count" : 1,
#                "term" : "A"
#             }
#          ],
#          "missing" : 0,
#          "_type" : "terms",
#          "total" : 3
#       }
#    },
#    "took" : 4
# }

更新以回答来自OP的扩展问题：

您还可以将过滤器直接应用于每个方面 - 这些称为facet_filters.

与之前类似的例子：

1）创建索引：

curl -XPUT 'http://127.0.0.1:9200/my_index/?pretty=1'  -d '
{
   "mappings" : {
      "product" : {
         "properties" : {
            "color" : {
               "index" : "not_analyzed",
               "type" : "string"
            },
            "name" : {
               "type" : "string"
            },
            "type" : {
               "index" : "not_analyzed",
               "type" : "string"
            }
         }
      }
   }
}
'

2）索引一些数据：

curl -XPUT 'http://127.0.0.1:9200/my_index/product/1?pretty=1'  -d '
{
   "color" : "red",
   "name" : "foo bar",
   "type" : "A"
}
'

curl -XPUT 'http://127.0.0.1:9200/my_index/product/2?pretty=1'  -d '
{
   "color" : [
      "red",
      "blue"
   ],
   "name" : "foo bar",
   "type" : "B"
}
'

curl -XPUT 'http://127.0.0.1:9200/my_index/product/3?pretty=1'  -d '
{
   "color" : [
      "green",
      "blue"
   ],
   "name" : "bar",
   "type" : "C"
}
'

3) 搜索、过滤同时具备这两种功能的产品type==Aand color == blue，然后对除“其他”过滤器之外的每个属性运行构面：

curl -XGET 'http://127.0.0.1:9200/my_index/product/_search?pretty=1'  -d '
{
   "filter" : {
      "and" : [
         {
            "term" : {
               "color" : "blue"
            }
         },
         {
            "term" : {
               "type" : "A"
            }
         }
      ]
   },
   "facets" : {
      "color" : {
         "terms" : {
            "field" : "color"
         },
         "facet_filter" : {
            "term" : {
               "type" : "A"
            }
         }
      },
      "type" : {
         "terms" : {
            "field" : "type"
         },
         "facet_filter" : {
            "term" : {
               "color" : "blue"
            }
         }
      }
   }
}
'

# [Wed Jan 18 19:58:25 2012] Response:
# {
#    "hits" : {
#       "hits" : [],
#       "max_score" : null,
#       "total" : 0
#    },
#    "timed_out" : false,
#    "_shards" : {
#       "failed" : 0,
#       "successful" : 5,
#       "total" : 5
#    },
#    "facets" : {
#       "color" : {
#          "other" : 0,
#          "terms" : [
#             {
#                "count" : 1,
#                "term" : "red"
#             }
#          ],
#          "missing" : 0,
#          "_type" : "terms",
#          "total" : 1
#       },
#       "type" : {
#          "other" : 0,
#          "terms" : [
#             {
#                "count" : 1,
#                "term" : "C"
#             },
#             {
#                "count" : 1,
#                "term" : "B"
#             }
#          ],
#          "missing" : 0,
#          "_type" : "terms",
#          "total" : 2
#       }
#    },
#    "took" : 3
# }