elasticSearch nested exist与missing查询

elasticSearch nested查询，简单意义上，你可以理解为，它不会被索引，只是被暂时隐藏起来，而查询的时候，开关就是使用nested query/filter去查询

下面我有一个例子，是查询文档中，含有某字段的nested查询，与不含有某字段的nested查询办法。

1.查询文档中存在某字段(account.userId)的nested

ES查询语句

核心

{
              "query": {
                "nested": {
                  "path": "account",
                  "query": {
                    "match_all": {}
                  },
                  "filter": {
                    "exists": {
                      "field": "account.userId"
                    }
                  }
                }
              }
}

java查询语句

//构建Nested查询
NestedFilterBuilder nfb = FilterBuilders.nestedFilter("account", QueryBuilders.filteredQuery(
							QueryBuilders.matchAllQuery(), FilterBuilders.existsFilter("account.userId")));

nfb嵌入到原有的查询query中即可

完整查询

{
  "query" : {
    "filtered" : {
      "query" : {
        "match_all" : { }
      },
      "filter" : {
        "and" : {
          "filters" : [ {
            "range" : {
              "oppType" : {
                "from" : 20,
                "to" : null,
                "include_lower" : true,
                "include_upper" : true
              }
            }
          }, {
            "term" : {
              "city" : 1
            }
          }, {
            "range" : {
              "status" : {
                "from" : 0,
                "to" : 12,
                "include_lower" : true,
                "include_upper" : false
              }
            }
          }, {
            "nested" : {
              "query" : {
                "filtered" : {
                  "query" : {
                    "match_all" : { }
                  },
                  "filter" : {
                    "exists" : {
                      "field" : "ajkAccount.ajkUserId"
                    }
                  }
                }
              },
              "path" : "ajkAccount"
            }
          }, {
            "or" : {
              "filters" : [ {
                "term" : {
                  "saleId" : "xxx"
                }
              }, {
                "terms" : {
                  "deptId" : [ "dept001" ]
                }
              } ]
            }
          } ]
        }
      }
    }
  }
}

curl -XPOST 'http://192.168.1.xx:9200/xxxIndex/xxxEntry/_search' '{"query":{"filtered":{"query":{"match_all":{}},"filter":{"and":{"filters":[{"range":{"oppType":{"from":null,"to":20,"include_lower":true,"include_upper":false}}},{"term":{"city":1}},{"range":{"status":{"from":0,"to":11,"include_lower":true,"include_upper":true}}},{"query":{"nested":{"path":"account","query":{"match_all":{}},"filter":{"exists":{"field":"account.userId"}}}}}]}}}}}'

2.查询文档中不存在某字段(missing account.userId)的nested

ES查询语句

核心

{
          "not":{
            "nested" : {
              "query" : {
                "filtered" : {
                  "query" : {
                    "match_all" : { }
                  },
                  "filter" : {
                    "exists" : {
                      "field" : "account.userId"
                    }
                  }
                }
              },
              "path" : "account"
            }
            }
 }

java代码

//构建Nested查询
NestedFilterBuilder nfb = FilterBuilders.nestedFilter("account", QueryBuilders.filteredQuery(
							QueryBuilders.matchAllQuery(), FilterBuilders.existsFilter("account.userId")));

//添加Not
FilterBuilders.notFilter(nfb);

完整ES查询

{
  "query" : {
    "filtered" : {
      "query" : {
        "match_all" : { }
      },
      "filter" : {
        "and" : {
          "filters" : [ {
            "range" : {
              "oppType" : {
                "from" : 20,
                "to" : null,
                "include_lower" : true,
                "include_upper" : true
              }
            }
          }, {
            "term" : {
              "city" : 1
            }
          }, {
            "range" : {
              "status" : {
                "from" : 0,
                "to" : 12,
                "include_lower" : true,
                "include_upper" : false
              }
            }
          }, {
            "not" : {
              "filter" : {
                "nested" : {
                  "query" : {
                    "filtered" : {
                      "query" : {
                        "match_all" : { }
                      },
                      "filter" : {
                        "exists" : {
                          "field" : "account.userId"
                        }
                      }
                    }
                  },
                  "path" : "account"
                }
              }
            }
          }, {
            "or" : {
              "filters" : [ {
                "term" : {
                  "saleId" : "xxxxx"
                }
              }, {
                "terms" : {
                  "deptId" : [ "dept01" ]
                }
              } ]
            }
          } ]
        }
      }
    }
  }
}

curl -XPOST 'http://192.168.1.xx:9200/xxxIndex/xxxEntry/_search' '{"query":{"filtered":{"query":{"match_all":{}},"filter":{"and":{"filters":[{"range":{"oppType":{"from":20,"to":null,"include_lower":true,"include_upper":true}}},{"term":{"city":1}},{"range":{"status":{"from":0,"to":12,"include_lower":true,"include_upper":false}}},{"not":{"filter":{"nested":{"query":{"filtered":{"query":{"match_all":{}},"filter":{"exists":{"field":"account.userId"}}}},"path":"account"}}}},{"or":{"filters":[{"term":{"saleId":"xxxxx"}},{"terms":{"deptId":["dept01"]}}]}}]}}}}}'

参考

http://grokbase.com/t/gg/elasticsearch/13a49a2hmq/check-if-field-exists-in-a-nested-object

https://github.com/elastic/elasticsearch/issues/3495 `