Amazon web services 在弹性搜索中保存数组类型数据并按范围搜索ID

如何在弹性搜索ID时添加数组类型JSON。 因此对于

/documentStoreIndex/notesType/1001

{
  “index”: 0,
  “time”:1590652925925,
  “chracter”:“H”
},
{
  “index”: 1,
  “time”:1590652925925,
  “chracter”:“I”
}

稍后，我想做一个搜索

1） “为id 1001的索引1获取时间”

2） “获取id为1001的从索引0到1的时间数组”

---

请提供帮助。

您需要使用

映射：

查询：要访问嵌套类型，需要

查找索引为1的文档

从范围0-1获取索引

结果：查询中指定的Innert_命中匹配嵌套文档

"hits" : [
      {
        "_index" : "index92",
        "_type" : "_doc",
        "_id" : "XQxiWnIBonxtIN2b07x2",
        "_score" : 2.0,
        "_source" : {
          "field1" : [
            {
              "index" : 0,
              "time" : 1590652925925,
              "chracter" : "H"
            },
            {
              "index" : 1,
              "time" : 1590652925925,
              "chracter" : "I"
            }
          ]
        },
        "inner_hits" : {
          "field1" : {
            "hits" : {
              "total" : {
                "value" : 2,
                "relation" : "eq"
              },
              "max_score" : 1.0,
              "hits" : [
                {
                  "_index" : "index92",
                  "_type" : "_doc",
                  "_id" : "XQxiWnIBonxtIN2b07x2",
                  "_nested" : {
                    "field" : "field1",
                    "offset" : 0
                  },
                  "_score" : 1.0,
                  "_source" : {
                    "time" : 1590652925925
                  }
                },
                {
                  "_index" : "index92",
                  "_type" : "_doc",
                  "_id" : "XQxiWnIBonxtIN2b07x2",
                  "_nested" : {
                    "field" : "field1",
                    "offset" : 1
                  },
                  "_score" : 1.0,
                  "_source" : {
                    "time" : 1590652925925
                  }
                }
              ]
            }
          }
        }
      }
    ]
  }

---

如何在PUT调用中插入以下内容？“index”：0，“time”：1590652925925，“chracter”：“H”@SubrataSaha它被添加为一个数组。在映射中，字段被定义为“嵌套的”POST index name/_doc{“field”：“，…”field1:[{“index”：0，“time”：1590652925925，“chracter”：“H”}，{“索引”：1，“时间”：1590652925925，“字符”：“I”}]}

{
  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "_id": {
              "value": "1000"
            }
          }
        },
        {
          "nested": {
            "inner_hits": {  --> returns matched nested objects
              "_source": "field1.time"--> select fields to show.
            }, 
            "path": "field1",
            "query": {
              "term": {
                "field1.index": {
                  "value": 1
                }
              }
            }
          }
        }
      ]
    }
  }
}

  "query": {
    "bool": {
      "must": [
        {
          "term": {
            "_id": {
              "value": "XQxiWnIBonxtIN2b07x2"
            }
          }
        },
        {
          "nested": {
            "inner_hits": {
              "_source": "field1.time"
            }, 
            "path": "field1",
            "query": {
              "range": {
                "field1.index": {
                  "gte": 0,
                  "lte": 1
                }
              }
            }
          }
        }
      ]
    }
  }
}

"hits" : [
      {
        "_index" : "index92",
        "_type" : "_doc",
        "_id" : "XQxiWnIBonxtIN2b07x2",
        "_score" : 2.0,
        "_source" : {
          "field1" : [
            {
              "index" : 0,
              "time" : 1590652925925,
              "chracter" : "H"
            },
            {
              "index" : 1,
              "time" : 1590652925925,
              "chracter" : "I"
            }
          ]
        },
        "inner_hits" : {
          "field1" : {
            "hits" : {
              "total" : {
                "value" : 2,
                "relation" : "eq"
              },
              "max_score" : 1.0,
              "hits" : [
                {
                  "_index" : "index92",
                  "_type" : "_doc",
                  "_id" : "XQxiWnIBonxtIN2b07x2",
                  "_nested" : {
                    "field" : "field1",
                    "offset" : 0
                  },
                  "_score" : 1.0,
                  "_source" : {
                    "time" : 1590652925925
                  }
                },
                {
                  "_index" : "index92",
                  "_type" : "_doc",
                  "_id" : "XQxiWnIBonxtIN2b07x2",
                  "_nested" : {
                    "field" : "field1",
                    "offset" : 1
                  },
                  "_score" : 1.0,
                  "_source" : {
                    "time" : 1590652925925
                  }
                }
              ]
            }
          }
        }
      }
    ]
  }