从包含嵌套值的Spark列中提取值 [英] Extracting values from a Spark column containing nested values
问题描述
这是我的mongodb集合的架构的一部分:
This is part of the schema of my mongodb collection:
|-- variables: struct (nullable = true)
| |-- actives: struct (nullable = true)
| | |-- data: struct (nullable = true)
| | | |-- 0: struct (nullable = true)
| | | | |--active: integer (nullable = true)
| | | | |-- inactive: integer (nullable = true)
我已经获取了集合并将其存储在Spark数据框中,现在正尝试在变量列中提取最里面的值.
I've fetched the collection and stored it in a Spark dataframe and am now trying to extract the innermost values in the variables column.
df_temp = df1.select(df1.variables.actives.data)
这工作得很好,我能够获得 data 结构的内部结构.
This works perfectly fine and I am able to get the inner structure of the data struct.
+----------------------+
|variables.actives.data|
+----------------------+
| [[1,32,0.516165...|
| [[1,30,1.173139...|
| [[4,18,0.160088...|
但是,当我尝试进一步尝试时:
However, as soon as I try to go in further:
df_temp = df1.select(df1.variables.actives.data.0.active)
我收到无效的语法错误.
df_temp = df1.select(df1.variables.actives.data.0.active)
^
SyntaxError:语法无效
df_temp = df1.select(df1.variables.actives.data.0.active)
^
SyntaxError: invalid syntax
问题在于我的内部字段键的名称是一个数字,而我找不到一个示例,其中内部字段键的名称是一个数字.
The problem is with my inner field's key's name being a number and I couldn't find an example where the inner field key's name is a number.
实现我从数据框中检索最内层值(有效和无效)的最佳方法是什么?
What would be the best way to achieve my goal of retrieving the innermost values (active and inactive) from the dataframe?
推荐答案
您可以尝试:
df_temp = df1.select(df1.variables.actives.data["0"].active)
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