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Showing content from https://docs.databricks.com/aws/en/sql/language-manual/sql-ref-functions-udf-scalar below:

External user-defined scalar functions (UDFs)

import org.apache.spark.sql.*;
import org.apache.spark.sql.api.java.UDF1;
import org.apache.spark.sql.expressions.UserDefinedFunction;
import static org.apache.spark.sql.functions.udf;
import org.apache.spark.sql.types.DataTypes;

SparkSession spark = SparkSession
      .builder()
      .appName("Java Spark SQL UDF scalar example")
      .getOrCreate();



UserDefinedFunction random = udf(
  () -> Math.random(), DataTypes.DoubleType
);
random.asNondeterministic();
spark.udf().register("random", random);
spark.sql("SELECT random()").show();







spark.udf().register("plusOne", new UDF1<Integer, Integer>() {
  @Override
  public Integer call(Integer x) {
    return x + 1;
  }
}, DataTypes.IntegerType);
spark.sql("SELECT plusOne(5)").show();







UserDefinedFunction strLen = udf(
  (String s, Integer x) -> s.length() + x, DataTypes.IntegerType
);
spark.udf().register("strLen", strLen);
spark.sql("SELECT strLen('test', 1)").show();







spark.udf().register("oneArgFilter", new UDF1<Long, Boolean>() {
  @Override
  public Boolean call(Long x) {
    return  x > 5;
  }
}, DataTypes.BooleanType);
spark.range(1, 10).createOrReplaceTempView("test");
spark.sql("SELECT * FROM test WHERE oneArgFilter(id)").show();

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