multi operating system for distributed computing in spark 2.1.0 - apache-spark

Question

Seeking Help
As I'm New to Spark just want to know.
I had setup spark master by changing spark-env.sh file changing parameters to
export SCALA_HOME=/cats/dev/scala/scala-2.12.2
export SPARK_WORKER_MEMORY=1g
export SPARK_WORKER_INSTANCES=3
export SPARK_WORKER_DIR=/cats/dev/spark-2.1.0-bin-hadoop2.7/work/sparkdata
export SPARK_MASTER_IP="192.168.1.54"
export SPARK_MASTER_PORT=7077
export SPARK_MASTER_WEBUI_PORT=8080
for a multi-node on the same machine
for executing small project I had to use the command
(/cats/dev/spark-2.1.0-bin-hadoop2.7/bin/spark-submit --class "Person" --master spark://cats-All-Series:7077 /cats/sbt_projects/test/people/target/scala-2.10/people-assembly-1.0.jar
after executing when I check web UI my app finished time was 6 seconds. but when I deploy on a single without out master and slave the same got executed in 0.3 seconds.
without a master, I had executed in spark-shell firstly loaded the code
(scala> :load /cats/scala/db2connectivity/sparkjdbc.scala) and executed(scala> sparkjdbc.connectSpark) for it.
>import org.apache.spark._
import org.apache.spark.sql.{Dataset, DataFrame, SparkSession}
import org.apache.spark.sql.functions._
import org.apache.spark.sql._
>import java.io.Serializable
import java.util.List
import java.util.Properties
object Person extends App {
val conf = new SparkConf().setAppName("Simple Application")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
connectSpark()
/*Following is spark-jdbc code using scala*/
def connectSpark(): Unit ={
val url = "jdbc:db2://localhost:50000/sample"
val driver = "com.ibm.db2.jcc.DB2Driver"
val username = "db2inst1"
val password = "db2inst1"
val prop = new java.util.Properties
prop.setProperty("user",username)
prop.setProperty("password",password)
Class.forName(driver)
val jdbcDF = sqlContext.read
.format("jdbc")
.option("url", url)
.option("driver", driver)
.option("dbtable", "allbands")
.option("user", "db2inst1")
.option("password", "db2inst1")
.load()
jdbcDF.show()
println("Done loading")
}
}