Frequently I see this syntax to access a series in DBX. df['column_name'] However, I get this as my output from that.Column<'derived_value'>What's the correct way to access a series
I have three data frames that I create in python. I want to write all three of these to the same delta table. In code I bring the three of them together using the union operation.When I do this the data in the columns is no longer aligned correctly.I...
I'm not that familiar with SQL variables. I can use them in queries, but can't seem to get the DDL to use them.What you are trying to do is simpler in python. See below for an example.table_suffix = 'suffix';
spark.sql(f"""
CREATE TABLE...
Aligning the data types and column order across all three data frames before attempting to union them together solved the problem. The below snippet highlights what was happening.data = [[2021, "test", "Albany", "M", 42]]
df1 = spark.createDataFrame...