如何关联包含JSON的数组

问题描述 投票:0回答:1

我正在使用AWS Glue读取包含JSON的数据文件(在S3上)。这是一个包含在数组中的数据的JSON。我尝试过使用relationalize()函数,但它不适用于数组。它适用于嵌套的JSON,但这不是输入的数据格式。

有没有办法将JSON与其中的数组关联起来?

输入数据:

{
    "ID":"1234",
    "territory":"US",
    "imgList":[
        {
            "type":"box"
            "locale":"en-US"
            "url":"boxart/url.jpg"
        },
        {
            "type":"square"
            "locale":"en-US"
            "url":"square/url.jpg"
        }
    ]
}

码:

dfc = Relationalize.apply(frame = datasource0, staging_path = glue_temp_storage, name = "root", transformation_ctx = "dfc")
dfc.select('root').toDF().show()

输出:

+----+----------+--------+
|ID  |territory |imgList |
+----+----------+--------+
|1234|       US |       1|
+----+----------+--------+

期望的输出:

+----+----------+-------------+---------------+---------------+
|ID  |territory |imgList.type |imgList.locale |imgList.url    |
+----+----------+-------------+---------------+---------------+
|1234|       US |       box   |         en-US |boxart/url.jpg |
+----+----------+-------------+---------------+---------------+
|1234|       US |       square|         en-US |square/url.jpg |
+----+----------+-------------+---------------+---------------+
amazon-web-services amazon-s3 pyspark aws-glue glue
1个回答
3
投票

Relationalize为JSON文档中的每个数组创建DynamicFrame。所以你只需要获取它并加入根表:

dfc = Relationalize.apply(frame = datasource0, staging_path = glue_temp_storage, name = "root", transformation_ctx = "dfc")
root_df = dfc.select('root')
imgList_df = dfc.select('root_imgList')

df = Join.apply(root_df, imgList_df, 'imgList', 'id')
df.toDF().show()
© www.soinside.com 2019 - 2024. All rights reserved.