Have you tried to apply the cast method with DataType on the column ? That's also one way to do it. There are a couple of approaches discussed on this thread : https://stackoverflow.com/questions/29383107/how-to-change-column-types-in-spark-sqls-dataframe Have a look at it and le...
In this code snippet, we create a DataFramedfwith two columns: “name” of type StringType and “age” of type StringType. Let’s say we want to change the data type of the “age” column from StringType to IntegerType. We can do this using thecast()function: df=df.withColumn("age...
Process SCD type 1 updatesThe following example demonstrates processing SCD type 1 updates:PythonPython 复制 import dlt from pyspark.sql.functions import col, expr @dlt.view def users(): return spark.readStream.table("cdc_data.users") dlt.create_streaming_table("target") dlt.apply_changes( ...
Spark 2.4.4 Merge sql fails , if source dataframe schema specifically dataype Decimal with scale change . Seems its not auto merging schema I am getting below exception - Failed to merge decimal types with incompatible scale 0 and 2; Workaround : I am applying schema diff changes before merg...
- To enable schema evolution, you need to set the configuration **spark.databricks.delta.schema.autoMerge.enabled** to true before writing data to your delta table. You can also use the *mergeSchema* option when writing data using the DataFrame API. ...