elasticsearch只返回一个id字段的文档答案

【问题标题】：elasticsearch return only one document of id fieldelasticsearch只返回一个id字段的文档
【发布时间】：2016-05-26 04:22:41
【问题描述】：

我的实际查询返回了这些数据。

  {
        "id": 1,
        "chantierId": 60,
        "location": {
          "lat": 49.508804203333,
          "lon": 2.4385195366667
        }
  },
  {
        "id": 2,
        "chantierId": 60,
        "location": {
          "lat": 49.508780168333,
          "lon": 2.43844484
        }
  },
  {
        "id": 3,
        "chantierId": 33,
        "location": {
          "lat": 49.50875823,
          "lon": 2.4383772216667
        }
  }

这是我的 Elasticsearch 查询，它使用 geo_point 搜索点。：

[
    "query" => [
        "filtered" => [
            "query" => [
                "match_all" => []
            ],
            "filter" => [
                "geo_distance" => [
                    "distance" => "100m",
                    "location" => ['lat' => 49.508804203333, 'lon => 2.4385195366667]
                ]
            ]
        ]
    ],
    "sort" => [
        "_geo_distance" => [
            "location" => ['lat' => 49.508804203333, 'lon => 2.4385195366667],
            "order" => "asc"
        ]
    ]
]

我怎样才能只有一份chantierId 33、60 和必须离我最近的位置的文件。

谢谢

【问题讨论】：

标签： php elasticsearch

【解决方案1】：

您可以在query 之前添加size 参数作为要接收的文档数。修改后的查询将是：

[   "size" => 1,
    "query" => [
        "filtered" => [
            "query" => [
                "match_all" => []
            ],
            "filter" => [
                "geo_distance" => [
                    "distance" => "100m",
                    "location" => ['lat' => 49.508804203333, 'lon => 2.4385195366667]
                ]
            ]
        ]
    ],
    "sort" => [
        "_geo_distance" => [
            "location" => ['lat' => 49.508804203333, 'lon => 2.4385195366667],
            "order" => "asc"
        ]
    ]
]

【讨论】：

谢谢，但它只提供一份文件。我在寻找每个 chantierId 的一个文档：一个用于 60 和 33 这个示例。在生产中它将是 1,3,5,24,35,34

【解决方案2】：

我用这个 stackoverflow 问题的答案解决了我的问题：Remove duplicate documents from a search in Elasticsearch

所以：

         [
            "query" => [
                "filtered" => [
                    "query" => [
                        "match_all" => []
                    ],
                    "filter" => [
                        "geo_distance" => [
                            "distance" => "100m",
                            "location" => $location
                        ]
                    ]
                ]
            ],
            "sort" => [
                "_geo_distance" => [
                    "location" => $location,
                    "order" => "asc"
                ]
            ],
            "aggs" => [
                "Geoloc" => [
                    "terms" => [
                        "field" => "chantierId"
                    ],
                    "aggs" => [
                        "Geoloc_docs" => [
                            "top_hits" => [
                                "size" => 1
                            ]
                        ]
                    ]
                ]
            ]
        ]);

感谢试图帮助我的@Tanu

【讨论】：