本文介绍了如何在ElasticSearch中加入两个索引的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有两个索引必须分开:

  // index =`order_item` 
{
ID:1,
名称:鞋,
价格:9.99,
OrderID:82
},{
ID:1,
名称:帽子,
价格:19.99,
OrderID:82
}

// index =`order`
{
ID:82,
客户:John Smith
}

我如何在搜索上加入这两个表格,以便返回以下一行:

  results = {
ID:1,
姓名:鞋,
价格:9.99 ,
Order.ID:82,
客户:John Smith
},{
ID:1,
Name 帽子,
价格:19.99,
Order.ID:82,
客户:约翰·史密斯
}


解决方案

正如,没有任何东西阻止您在每个<$中存储客户名称c $ c> order_item 文档在索引时,仍然有一个专用索引订单还包含客户数据。请记住,这是关于巧妙地对数据进行非规范化,以使您的每个文档都符合您的需求。

  curl -XPUT localhost:9200 / order_items / order_item / 1 -d'{
ID:1,
名称:鞋子,
价格:9.99,
OrderID:82,
客户:约翰·史密斯
}

curl -XPUT localhost:9200 / order_items / order_item / 2 -d'{
ID:2,
名称:帽子,
Price:19.99,
OrderID:82,
Customer:John Smith
}

此解决方案的优点在于,每个订单项目都是完全独立的,您可以在 OrderID 为了获得给定订单的所有项目。



另外,作为他的评论中提到的@JohnAment, order / order_item 用例也是使用



  1. 或。


  2. 在第一种情况下,您将有一个订单父文档...

      curl -XPUT localhost:9200 / orders / order / 82 -d'{
    ID:82,
    客户:约翰·史密斯
    }'

    还有几个 order_item 您使用其父代码索引的儿童文档:

      curl -XPUT localhost:9200 / order_items / order_item / 1?parent = 82 -d'{
    ID:1,
    Name:Shoes,
    Price:9.99
    }
    curl -XPUT localhost:9200 / order_items / order_item / 2?parent = 82 -d'{
    ID:2,
    名称:帽子,
    价格:19.99
    }'

    在第二种情况下,您的订单文档将包含嵌套的 OrderItems 属性和woul中的所有订单项d看起来像这样:

      curl -XPUT localhost:9200 / orders / order / 82 -d'{
    ID $
    ID:1,
    名称:$鞋子
    价格:9.99
    },{
    ID:2,
    名称:帽子,
    价格:19.99
    }
    ]
    }'


    I have two indexes that must be separated:

    // index = `order_item`
    {
        "ID": 1,
        "Name": "Shoes",
        "Price": 9.99,
        "OrderID": 82
    },{
        "ID": 1,
        "Name": "Hat",
        "Price": 19.99,
        "OrderID": 82
    }
    
    // index = `order`
    {
        "ID": 82,
        "Customer": "John Smith"
    }
    

    How would I 'join' these two tables on a search, such that it would return something along the lines of:

    results = {
        "ID": 1,
        "Name": "Shoes",
        "Price": 9.99,
        "Order.ID": 82,
        "Customer": "John Smith"
    },{
        "ID": 1,
        "Name": "Hat",
        "Price": 19.99,
        "Order.ID": 82,
        "Customer": "John Smith"
    }
    
    解决方案

    As answered in your other question, nothing prevents you from storing the Customer name inside each order_item document at indexing time, while still having a dedicated index orders also containing the Customer data. Remember that it's all about cleverly denormalizing your data so that each of your documents be as "self-contained" as you need.

    curl -XPUT localhost:9200/order_items/order_item/1 -d '{
        "ID": 1,
        "Name": "Shoes",
        "Price": 9.99,
        "OrderID": 82,
        "Customer": "John Smith"
    }'
    
    curl -XPUT localhost:9200/order_items/order_item/2 -d '{
        "ID": 2,
        "Name": "Hat",
        "Price": 19.99,
        "OrderID": 82,
        "Customer": "John Smith"
    }
    

    The advantages of this solution is that each order item is completely self-contained, and you can group/aggregate them on OrderID in order to get all items of a given order.

    Also, as @JohnAment mentioned in his comment, the order/order_item use case is also a good candidate for using either

    1. the parent/child relationship
    2. or nested objects.

    In the first case, you'd have one order "parent" document...

    curl -XPUT localhost:9200/orders/order/82 -d '{
        "ID": 82,
        "Customer": "John Smith"
    }'
    

    And several order_item "children" documents that you index using their parent ID:

    curl -XPUT localhost:9200/order_items/order_item/1?parent=82 -d '{
         "ID": 1,
         "Name": "Shoes",
         "Price": 9.99
    }'
    curl -XPUT localhost:9200/order_items/order_item/2?parent=82 -d '{
         "ID": 2,
         "Name": "Hat",
         "Price": 19.99
    }'
    

    In the second case, your order document would contain all order items in a nested OrderItems property and would look like this:

    curl -XPUT localhost:9200/orders/order/82 -d '{
        "ID": 82,
        "Customer": "John Smith"
        "OrderItems": [
          {
            "ID": 1,
            "Name": "Shoes",
            "Price": 9.99
          },{
            "ID": 2,
            "Name": "Hat",
            "Price": 19.99
          }
        ]
    }'
    

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07-25 09:10