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How to apply a function to every row in a Spark DataFrame.
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| def findNull(row:Row):String = { | |
| if (row.anyNull) { | |
| val indices = (0 to row.length-1).toArray.filter(i => row.isNullAt(i)) | |
| indices.mkString(",") | |
| } | |
| else "-1" | |
| } | |
| sqlContext.udf.register("findNull", findNull _) | |
| df = df.withColumn("MissingGroups",callUDF("findNull",struct(df.columns.map(df(_)) : _*))) |
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