了解ElasticSearch上的聚合结果

时间:2018-11-16 00:33:35

标签: elasticsearch

我正在处理ElasticSearch中的特定查询。查询的目的是返回带有最新时间戳的所有唯一结果。 因此,仅作为背景知识,在elasticsearch DB中,每个具有不同时间戳的唯一字段“ x”可以有多个条目。我希望ES查询返回这些唯一字段x的最新时间戳。 因此数据看起来就像ES数据库中一样:

{"x" : "1", "time": 1536574915}
{"x" : "2", "time": 1536574919}
{"x" : "1", "time": 1536574815}
{"x" : "2", "time": 1536574819}
{"x" : "3", "time": 1536574915}
{"x" : "4", "time": 1536574915}

预期输出为

{"x" : "1", "time": 1536574915}
{"x" : "2", "time": 1536574919}
{"x" : "3", "time": 1536574915}
{"x" : "4", "time": 1536574915}

我当前使用的查询是:

{
            "size": 0,
            "query": {
                "bool": {
                    "must": [],
                    "filter": {
                        "range": {
                            "time": {
                                "lte": "2019-11-16", Can give epoch conversion here
                                "format": "date_optional_time"
                                }
                            }
                        }
                    }
                },
            "aggs": {
                "group_by": {
                 "terms": {
                        "field": "x"
                        },
                    "aggs": {
                        "resource": {
                            "terms": {
                                "field": "time",
                                "size": 1,
                                "order": {
                                    "_key": "desc"
                                }

                            },

                            "aggs": {
                                "include_source": {
                                    "top_hits": {
                                        "from": 0,
                                        "size": 1,
                                        "_source": {}
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }

上述查询返回的结果为

[
    {
        "_scroll_id": "DnF1ZXJ5VGhlbkZldGNoAgAAAAAAAAECFmtnNUY4dHFKUXVldXdQMkNSaE1femcAAAAAAAABAxZrZzVGOHRxSlF1ZXV3UDJDUmhNX3pn",
        "took": 227,
        "timed_out": false,
        "_shards": {
            "total": 2,
            "successful": 2,
            "skipped": 0,
            "failed": 0
        },
        "hits": {
            "total": 343533,
            "max_score": 0.0,
            "hits": [
                {
                }
            ]
},
   "aggregations": {
                "group_by": {
                    "doc_count_error_upper_bound": 4,
                    "sum_other_doc_count": 343513,
                    "buckets": [
                  { # here is the actual data.
                  }
           ]
        }
      }
    },
    {
       #another scroll_id. Removed the data as its huge.
   }
]

我的问题是,上述情况下独特的结果在哪里? 是在[hits] [hits]内还是在“集合”内?如果在聚合中,对于一百万条记录,聚合仅返回10个结果。如果我依赖每个滚动列表中的[hits] [hits],则结果是重复的。我试图理解,根据上面的查询约束,我可以在此结果的哪一部分中获取正确的唯一条目。还是查询格式错误或缺少某些参数。 感谢任何帮助。 谢谢。

1 个答案:

答案 0 :(得分:0)

您的汇总不正确,因为您要检索每个xtime的热门匹配,而您的目标是检索每个x的最新匹配。您需要按如下方式修改查询,即,您仅按x进行汇总,而在top_hits子汇总中,您可以通过减少time来对文档进行排序,并且仅采用最后一个。

{
  "size": 0,
  "aggs": {
    "group_by": {
      "terms": {
        "field": "x"
      },
      "aggs": {
        "resource": {
          "top_hits": {
            "from": 0,
            "size": 1,
            "sort": {
              "time": "desc"
            },
            "_source": {}
          }
        }
      }
    }
  }
}

您要查找的文档位于每个存储分区的resource.hits.hits部分中:

  "aggregations" : {
    "group_by" : {
      "doc_count_error_upper_bound" : 0,
      "sum_other_doc_count" : 0,
      "buckets" : [
        {
          "key" : "1",
          "doc_count" : 2,
          "resource" : {
            "hits" : {
              "total" : 2,
              "max_score" : null,
              "hits" : [
                {
                  "_index" : "times",
                  "_type" : "doc",
                  "_id" : "PZt7G2cBJos57mIu0oy-",
                  "_score" : null,
                  "_source" : {
                    "x" : "1",
                    "time" : 1536574915
                  },
                  "sort" : [
                    1536574915
                  ]
                }
              ]
            }
          }
        },
        {
          "key" : "2",
          "doc_count" : 2,
          "resource" : {
            "hits" : {
              "total" : 2,
              "max_score" : null,
              "hits" : [
                {
                  "_index" : "times",
                  "_type" : "doc",
                  "_id" : "Ppt7G2cBJos57mIu0oy-",
                  "_score" : null,
                  "_source" : {
                    "x" : "2",
                    "time" : 1536574919
                  },
                  "sort" : [
                    1536574919
                  ]
                }
              ]
            }
          }
        },
        {
          "key" : "3",
          "doc_count" : 1,
          "resource" : {
            "hits" : {
              "total" : 1,
              "max_score" : null,
              "hits" : [
                {
                  "_index" : "times",
                  "_type" : "doc",
                  "_id" : "QZt7G2cBJos57mIu0oy-",
                  "_score" : null,
                  "_source" : {
                    "x" : "3",
                    "time" : 1536574915
                  },
                  "sort" : [
                    1536574915
                  ]
                }
              ]
            }
          }
        },
        {
          "key" : "4",
          "doc_count" : 1,
          "resource" : {
            "hits" : {
              "total" : 1,
              "max_score" : null,
              "hits" : [
                {
                  "_index" : "times",
                  "_type" : "doc",
                  "_id" : "Qpt7G2cBJos57mIu0oy-",
                  "_score" : null,
                  "_source" : {
                    "x" : "4",
                    "time" : 1536574915
                  },
                  "sort" : [
                    1536574915
                  ]
                }
              ]
            }
          }
        }
      ]
    }
  }