How can we safely cast string numbers to integers and isolate corrupted alphanumeric strings?
Casting a non-numeric string to numeric produces null, which can be detected to separate valid rows from corrupted rows.
Parsing unvalidated CSV columns into structured types with guaranteed cast safety.
df_cast = df.withColumn("numeric_val", col("raw_val").cast("double"))
df_corrupted = df_cast.filter(col("raw_val").isNotNull() & col("numeric_val").isNull())Practice typing production-grade PySpark code for Schema Validation & Cast Safety.