Question

考虑这个记录结构

"place": {
  "id": "4f58e38866eaa71e74000027",
  "name": "Some name",
  "point" [14.53535, 56.32535],
  "hostname": "Something",
  "locality": "something",
  "type": "Some type",
  "average_price": 67
}

"container": {
  "title": "Something",
  "category": "Something"
}

"row": {
  "name": "Something",
  "description": "Something",
  "price": 45,
  "markings_array": ['some_tag', 'some_tag'],
  "prioritized": true
}

我正在努力实现这个目标：

按place.name
按地点距离排序
按ID列
提升最接近给定参数点的地方
如果他们被禁止的话会增加行数
在place.name
按place.average_price
对place.hostname和place.locality
row.name
facet on container.title
facet on row.markings_array

结果最终应该以这种格式使用，'中心对象'是容器：编辑：'中心对象'也可以是这个地方。

[{
  "_score" : 183.96391,
  "container": {
    "title": "something",
    "category": "something",
    "place": {
      "id": "4f58e38866eaa71e74000027"
      "name": "Some name",
      "point" [14.53535, 56.32535],
      "hostname": "Something",
      "locality": "something",
      "type": "Some type" 
    },
    "rows": [
      {
        "_score": 183.96391,
        "name": "Something",
        "description": "Something"
        "price": 45,
        "markings_array" ['some_tag', 'some_tag']
      },
      {
        "_score": 133.96391,
        "name": "Something",
        "description": "Something"
        "price": 45,
        "markings_array" ['some_tag', 'some_tag']
      },
      {
        "_score": 123.96391,
        "name": "Something",
        "description": "Something"
        "price": 45,
        "markings_array" ['some_tag', 'some_tag']
      }
    ]
  }
}]

行应按其分数排序。如何执行此查询？

我现在所做的是索引每一行的所有字段，然后针对包含行的索引执行搜索。

要获得所需的输出，我必须循环通过结果并将它们按父级等分组。问题是我还需要在地方或容器上进行评分，因为我将在列表中显示带有位置和行的容器。 / p>

有更好的方法吗？

由于

使用ElasticSearch对父/子文档进行复杂查询

0 个答案: