In PySpark, you can change data types using thecast()function on a DataFrame. This function allows you to convert a column to a different data type by specifying the new data type as a parameter. Let’s walk through an example to demonstrate how this works. First, let’s create a sampl...
You can achieve the same in PySpark using cast method with DataType instance. After casting the column, you can write to the table in sql data warehouse. There's a similar thread where you can read about casting : https://stackoverflow.com/questions/32284620/how-to-change-a-dataframe-co...
You must specify a column in the source data on which to sequence records, which DLT interprets as a monotonically increasing representation of the proper ordering of the source data. DLT automatically handles data that arrives out of order. For SCD type 2 changes, DLT propagates the ...
Using a SQL query to transform data Using Aggregate to perform summary calculations on selected fields Flatten nested structs Add a UUID column Add an identifier column Convert a column to timestamp type Convert a timestamp column to a formatted string Creating a Conditional Router transformation Usi...
The error message you are getting is because you are trying to insert a column into the target table that does not exist in the source table. This is not allowed by Delta Lake, because it could corrupt the data in the target table. ...