使用 Where In 过滤数组 ElasticSearch 中项目的文档答案

【问题标题】：Filter document on items in an array ElasticSearch using Where In使用 Where In 过滤数组 ElasticSearch 中项目的文档
【发布时间】：2021-02-17 04:54:53
【问题描述】：

我有数据：

[
  {
    "NAME": "John Doe", 
    "CLASS":[1,10,30]
  },
  {
    "NAME": "Albert",
    "CLASS": [1,20,40]
  },
  {
    "NAME": "XINN",
    "CLASS": [10,30]
  },
  {
    "NAME": "UJANG",
    "CLASS": [20,40]
  },
  {
    "NAME": "BAMBANG",
    "CLASS": [30,40]
  }
]

我有以下查询 SQL：

SELECT * FROM table_name WHERE CLASS IN (1,20)

我想要的是：

[{"NAME": "John Doe","CLASS":[1,10,30]},{"NAME": "Albert","CLASS": [1,20,40]},{"NAME": "UJANG","CLASS": [20,40]}]

如何更改搜索以匹配 SQL 查询？

【问题讨论】：

与我们分享你到目前为止所做的事情

标签： javascript elasticsearch

【解决方案1】：

您可以使用terms query 来获得您的预期结果，并添加一个工作示例。

索引示例文档

{
    "name" : "John Doe",
    "class" : [1, 10,30]
}

{
    "name": "Albert",
    "class": [1,20,40]
}

{
    "name": "XINN",
    "class": [10,30]
}

{
    "name": "UJANG",
    "class": [20,40]
}

{
    "name": "BAMBANG",
    "class": [30,40]
}

搜索查询

{
    "query": {
        "terms": {
            "class": [
                1,20
            ]
        }
    }
}

以及搜索结果

"hits": [
            {
                "_index": "shingleside",
                "_type": "_doc",
                "_id": "1",
                "_score": 1.0,
                "_source": {
                    "name": "John Doe",
                    "class": [
                        1,
                        10,
                        30
                    ]
                }
            },
            {
                "_index": "shingleside",
                "_type": "_doc",
                "_id": "2",
                "_score": 1.0,
                "_source": {
                    "name": "Albert",
                    "class": [
                        1,
                        20,
                        40
                    ]
                }
            },
            {
                "_index": "shingleside",
                "_type": "_doc",
                "_id": "4",
                "_score": 1.0,
                "_source": {
                    "name": "UJANG",
                    "class": [
                        20,
                        40
                    ]
                }
            }
        ]

【讨论】：