fahadsiddiqui
/ flatten_df.scala
Last active
May 22, 2023 19:42
Flatten a nested JSON Spark DataFrame using Scala, Spark 2.2.+ — a custom solution.
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| def flattenDataFrame(df: DataFrame): DataFrame = { | |
| val fields = df.schema.fields | |
| val fieldNames = fields.map(x => x.name) | |
| for (i <- fields.indices) { | |
| val field = fields(i) | |
| val fieldType = field.dataType | |
| val fieldName = field.name | |
| fieldType match { | |
| case _: ArrayType => |