Hi,
Since you mentioned that there could be duplicate records with the same
unique key in the Delta table, you will need a way to handle these
duplicate records. One approach I can suggest is to use a timestamp to
determine the latest or most relevant record among duplicates, the
so-called op_tim
In a nutshell, is this what you are trying to do?
1. Read the Delta table into a Spark DataFrame.
2. Explode the string column into a struct column.
3. Convert the hexadecimal field to an integer.
4. Write the DataFrame back to the Delta table in merge mode with a
unique key.
Is t
Hi All,
I have mentioned the sample data below and the operation I need to perform
over there,
I have delta tables with columns, in that columns I have the data in the
string data type(contains the struct data),
So, I need to update one key value in the struct field data in the string
column of
