json - 取消嵌套存储在列中的 JSON 字符串 [BigQuery]
问题描述
存储在 order_lines 中的示例 JSON:
{
"STR_BLK_002":{
"amount":167,
"type":"part spare",
"total_discount":0,
"color":"Black",
"is_out_of_stock":false,
"variable_fields":{
"Size":"XL",
"trueColor":"Black"
},
"category_id":"44356721",
"status_list":[
{
"id":1,
"time":"2021-04-01T15:01:54.746Z",
"status":"ORDER PLACED"
},
{
"id":2,
"time":"2021-04-02T10:31:00.397Z",
"status":"PACKED"
},
{
"id":3,
"time":"2021-04-04T10:31:01.719Z",
"status":"SHIPPED"
},
{
"id":3,
"time":"2021-04-04T18:12:06.896Z",
"status":"SHIPPED"
}
],
"product_id":270,
"price_per_quantity":167,
"quantity":1,
"maximum_quantity":10,
"variant_name":"Helmet strap",
"current_status":30,
"estimated_delivery":"09 Apr 2021",
"total_before_discount":167,
"delivery_statuses":[
{
"time":"2021-04-01T15:10:13.594Z",
"status":"FULFILLABLE"
},
{
"time":"2021-04-02T10:31:00.397Z",
"status":"PACKED"
},
{
"time":"2021-04-03T10:31:01.197Z",
"status":"READY_TO_SHIP"
},
{
"time":"2021-04-04T10:31:01.719Z",
"status":"DISPATCHED"
},
{
"time":"2021-04-04T18:12:06.896Z",
"status":"SHIPPED"
}
],
"sku_code":"STR_BLK_002"
}
}
我想取消嵌套这个字符串,以便可以单独访问键值对。此外,sku_code(上面共享的示例中的“STR_BLK_002”)在任何其他列中均不可用,并且该字符串可以包含多个单个 sku,因此如果有 2 个对应于订单的 sku,则 JSON 字符串将为:
{
"STR_BLK_002":{
"amount":167,
"type":"part spare",
"total_discount":0,
"color":"Black",
"is_out_of_stock":false,
"variable_fields":{
"Size":"XL",
"trueColor":"Black"
},
"category_id":"44356721",
"status_list":[
{
"id":1,
"time":"2021-04-01T15:01:54.746Z",
"status":"ORDER PLACED"
},
{
"id":2,
"time":"2021-04-02T10:31:00.397Z",
"status":"PACKED"
},
{
"id":3,
"time":"2021-04-04T10:31:01.719Z",
"status":"SHIPPED"
},
{
"id":3,
"time":"2021-04-04T18:12:06.896Z",
"status":"SHIPPED"
}
],
"product_id":270,
"price_per_quantity":167,
"quantity":1,
"maximum_quantity":10,
"variant_name":"Helmet strap",
"current_status":3,
"estimated_delivery":"09 Apr 2021",
"total_before_discount":167,
"delivery_statuses":[
{
"time":"2021-04-01T15:10:13.594Z",
"status":"FULFILLABLE"
},
{
"time":"2021-04-02T10:31:00.397Z",
"status":"PACKED"
},
{
"time":"2021-04-03T10:31:01.197Z",
"status":"READY_TO_SHIP"
},
{
"time":"2021-04-04T10:31:01.719Z",
"status":"DISPATCHED"
},
{
"time":"2021-04-04T18:12:06.896Z",
"status":"SHIPPED"
}
],
"sku_code":"STR_BLK_002"
},
"STR_BLK_008":{
"amount":590,
"type":"accessory",
"total_discount":0,
"color":"blue",
"is_out_of_stock":false,
"variable_fields":{
"Size":"XL",
"trueColor":"prussian blue"
},
"category_id":"65577970",
"status_list":[
{
"id":1,
"time":"2021-04-06T15:01:54.746Z",
"status":"ORDER PLACED"
},
{
"id":2,
"time":"2021-04-07T10:31:00.397Z",
"status":"PACKED"
},
{
"id":3,
"time":"2021-04-07T10:31:01.719Z",
"status":"SHIPPED"
},
{
"id":3,
"time":"2021-04-08T18:12:06.896Z",
"status":"SHIPPED"
}
],
"product_id":276,
"price_per_quantity":590,
"quantity":1,
"maximum_quantity":5,
"variant_name":"Car Perfume",
"current_status":3,
"estimated_delivery":"09 Apr 2021",
"total_before_discount":590,
"delivery_statuses":[
{
"time":"2021-04-06T15:10:13.594Z",
"status":"FULFILLABLE"
},
{
"time":"2021-04-07T10:31:00.397Z",
"status":"PACKED"
},
{
"time":"2021-04-07T10:31:01.197Z",
"status":"READY_TO_SHIP"
},
{
"time":"2021-04-08T10:31:01.719Z",
"status":"DISPATCHED"
},
{
"time":"2021-04-10T18:12:06.896Z",
"status":"SHIPPED"
}
],
"sku_code":"STR_BLK_008"
}
}
我想将此信息分成单独的列,以便我可以获取每个 SKU 的相应值。
解决方案
所以基本上我认为你想要做的是首先将你的列转换为一个结构数组,而不是这样:
{
"STR_BLK_002": {...},
"STR_BLK_003": {...}
}
你有这样的事情:
[
{
"amount":167,
"type":"part spare",
"total_discount":0,
...
},
{
"amount":590,
"type":"accessory",
"total_discount":0,
...
}
]
使用该格式的数据,您可以利用UNNEST将每个条目放入自己的行中,然后使用JSON 函数将字段提取到自己的列中,例如JSON_EXTRACT_SCALAR
为了做到这一点,我构建了一个Javascript UDF,它在对象中查找键,然后遍历每个键以创建一个结构数组。
CREATE TEMP FUNCTION format_json(str STRING)
RETURNS ARRAY<STRING>
LANGUAGE js AS r"""
var obj = JSON.parse(str);
var keys = Object.keys(obj);
var arr = [];
for (i = 0; i < keys.length; i++) {
arr.push(JSON.stringify(obj[keys[i]]));
}
return arr;
""";
SELECT
JSON_EXTRACT_SCALAR(formatted_json,'$.amount') as amount
,JSON_EXTRACT_SCALAR(formatted_json,'$.type') as type
,JSON_EXTRACT_SCALAR(formatted_json,'$.total_discount') as total_discount
,JSON_EXTRACT_SCALAR(formatted_json,'$.color') as color
,JSON_EXTRACT_SCALAR(formatted_json,'$.is_out_of_stock') as is_out_of_stock
,JSON_EXTRACT_SCALAR(formatted_json,'$.sku_code') as sku_code
from
testing.json_test
left join unnest(format_json(order_lines)) as formatted_json
结果是:
推荐阅读
- go - 延迟函数执行顺序
- vue.js - 在树枝循环中创建 vue 组件
- matlab - 我的 ifft 的输出仍然有比较大的复数
- python - 如何按时间顺序从文件夹中提取 jpg EXIF 元数据
- node.js - 无法使用 Express 从 MongoDB 中使用 ID 检索数据
- json - 如何使用 python DRF 在 JSON 响应下面创建这个
- python - 我使用的打印语句显示语法错误,请注意我的代码中的错误
- javascript - DiscordAPIError:无法发送带有和嵌入的空消息
- firebase - Firebase 安全规则警告消息
- swift - 可以在 spritekit 中反向播放纹理图集吗?