Hi Enrico,
What a great answer. Thank you. Seems like I need to get comfortable with
the 'struct' and then I will be golden. Thank you again, friend.
Marco.
On Thu, May 4, 2023 at 3:00 AM Enrico Minack wrote:
> Hi,
>
> You could rearrange the DataFrame so that writing the DataFrame as-is
> prod
Hi,
You could rearrange the DataFrame so that writing the DataFrame as-is
produces your structure:
df = spark.createDataFrame([(1, "a1"), (2, "a2"), (3, "a3")], "id int,
datA string")
+---++
| id|datA|
+---++
| 1| a1|
| 2| a2|
| 3| a3|
+---++
df2 = df.select(df.id, struct(df.d
Hello,
Let's say I have a very simple DataFrame, as below.
+---++
| id|datA|
+---++
| 1| a1|
| 2| a2|
| 3| a3|
+---++
Let's say I have a requirement to write this to a bizarre JSON structure.
For example:
{
"id": 1,
"stuff": {
"datA": "a1"
}
}
How can I achieve this
