"org.apache.spark.sql.avro.IncompatibleSchemaException: Unexpected type org.apache.spark.ml.linalg.VectorUDT" Code Answer's
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org.apache.spark.sql.avro.IncompatibleSchemaException: Unexpected type org.apache.spark.ml.linalg.VectorUDT
# To convert any Vector to an Array[Double] you can use the following UDF:
import org.apache.spark.sql.functions.udf
import org.apache.spark.sql.functions.col
import org.apache.spark.ml.linalg.Vector
val vectorToArrayUdf = udf((vector: Vector) => vector.toArray)
// The following will work
val output = dataPredictions
.withColumn("probabilities", vectorToArrayUdf(col("probability")))
.select("id", "probabilities", "prediction")
output.write.format("com.databricks.spark.avro").save(path)
Source: stackoverflow.com
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