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elasticSearch父子文档查询-所有文档与父文档

发布时间：2021-08-28 21:50:31编辑：雪饮阅读（）

上篇了解到了elasticSearch父子关系索引中最后一环子文档的索引，那么接下来就是父子关系索引中文档的查询了。

首先看看当前父子关系索引中的所有文档
请求：
http://localhost:9200/my-index-000001/_search get
请求体：none
响应体：
{
    "took": 5,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 3,
            "relation": "eq"
        },
        "max_score": 1.0,
        "hits": [
            {
                "_index": "my-index-000001",
                "_type": "_doc",
                "_id": "question1",
                "_score": 1.0,
                "_source": {
                    "name": "Central School",
                    "description": "CBSE Affiliation",
                    "street": "Nagan",
                    "city": "paprola",
                    "state": "HP",
                    "zip": "176115",
                    "location": [
                        31.8955385,
                        76.8380405
                    ],
                    "fees": 2200,
                    "tags": [
                        "Senior Secondary",
                        "beautiful campus"
                    ],
                    "rating": "3.3",
                    "my_join_field": {
                        "name": "question"
                    }
                }
            },
            {
                "_index": "my-index-000001",
                "_type": "_doc",
                "_id": "answer1",
                "_score": 1.0,
                "_routing": "question1",
                "_source": {
                    "comment": "I am learning ELK",
                    "username": "Jack",
                    "my_join_field": {
                        "name": "answer",
                        "parent": "question1"
                    }
                }
            },
            {
                "_index": "my-index-000001",
                "_type": "_doc",
                "_id": "answer2",
                "_score": 1.0,
                "_routing": "question1",
                "_source": {
                    "comment": "I am learning ELK",
                    "username": "Jack",
                    "my_join_field": {
                        "name": "answer",
                        "parent": "question1"
                    }
                }
            }
        ]
    }
}
这里我后来又追加了一个answer2的子文档，那么从这个请求上面来看和普通的索引查询其所有文档是一样的（如：http://localhost:9200/schools/_search get 请求体：none）。这里my-index-000001就是索引名，就是前面我们创建的拥有父子级关系的索引的索引名。
那么接下来再来看看只看某个父文档
请求：
http://localhost:9200/my-index-000001/_doc/question1 get
请求体：none
响应体：
{
    "_index": "my-index-000001",
    "_type": "_doc",
    "_id": "question1",
    "_version": 1,
    "_seq_no": 0,
    "_primary_term": 1,
    "found": true,
    "_source": {
        "name": "Central School",
        "description": "CBSE Affiliation",
        "street": "Nagan",
        "city": "paprola",
        "state": "HP",
        "zip": "176115",
        "location": [
            31.8955385,
            76.8380405
        ],
        "fees": 2200,
        "tags": [
            "Senior Secondary",
            "beautiful campus"
        ],
        "rating": "3.3",
        "my_join_field": {
            "name": "question"
        }
    }
}
这里请求url中question1，就是之前创建的父文档的文档id了。其实这个看起来也是和前面查看普通文档的请求是一样的，如：
http://localhost:9200/schools/school/1 get
请求体：none