使用 Elastic Search 查询 CouchDB 中的数组内部

发布于 2024-11-08 12:44:13 字数 678 浏览 4 评论 0原文

我的 CouchDB 数据库的结构如下：

"custom_details": {
  "user_education": [
    {
      "device_id": "358328030246627",
      "college_name": "College",
      "college_year": "2014"
    },
  ]
}

"custom_details_1": {
  "user_education": [
    {
      "device_id": "358328030246627",
      "college_name": "College",
      "college_year": "2014"
    },
  ]
}

数组中有很多数组。我正在尝试使用 Elasticsearch 来搜索和查找术语，无论它位于数组中的哪个位置。这可能吗？

我已经浏览了此处上的示例，但还没有完全了解找到了我要找的东西。我尝试过使用 Elastica（PHP 包装器），但由于没有完全理解如何使用 REST 来实现这一点，所以我迷失了方向。是否可以在不了解领域的情况下搜索数据？

原文

My CouchDB database is structured like this:

"custom_details": {
  "user_education": [
    {
      "device_id": "358328030246627",
      "college_name": "College",
      "college_year": "2014"
    },
  ]
}

"custom_details_1": {
  "user_education": [
    {
      "device_id": "358328030246627",
      "college_name": "College",
      "college_year": "2014"
    },
  ]
}

I have a lot of arrays within arrays. What I'm trying to do use Elasticsearch to search and find terms, regardless of where it's sitting in an array. Is that possible?

I've been going through the examples on here and haven't quite found what I'm looking for. I've tried using Elastica, the PHP Wrapper, but without fully understanding how to do this with REST, I'm lost. Is it even possible to search for data without knowing the field?

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第七度阳光i 2024-11-15 12:44:13

在 Lucene 中，您可以为每个设备 ID 创建一个文档实例：

public void indexRecord(CouchDBRecord rec) {
    Document doc = new Document();
    doc.add(new Field("device_id", rec.device_id, Store.YES, Index.NOT_ANALYZED));
    doc.add(new Field("college_name",  rec.college_name, Store.YES, Index.ANALYZED));
    doc.add(new Field("college_year", rec.college_year.toString(), Store.YES, Index.NOT_ANALYZED));
    this.writer.addDocument(doc);
}

这将允许您通过大学名称中的关键字、或者通过确切的设备 ID 或年份、或者它们的某种组合进行搜索。

In Lucene, you could create a document instance for each device id:

public void indexRecord(CouchDBRecord rec) {
    Document doc = new Document();
    doc.add(new Field("device_id", rec.device_id, Store.YES, Index.NOT_ANALYZED));
    doc.add(new Field("college_name",  rec.college_name, Store.YES, Index.ANALYZED));
    doc.add(new Field("college_year", rec.college_year.toString(), Store.YES, Index.NOT_ANALYZED));
    this.writer.addDocument(doc);
}

This will allow you to search by keywords in the college name, or by exact device id or year, or some combination thereof.

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