Scala : Writing Data to S3 bucket - amazon-web-services

Question

I am trying to write the data to S3 bucket but i am getting below errors.
SQLHadoopMapReduceCommitProtocol: Using output committer class org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
18/11/18 23:32:14 ERROR Utils: Aborting task
java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z
at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
18/11/18 23:32:14 WARN FileOutputCommitter: Could not delete s3a://Accesskey:SecretKey#test-bucket/Output/Check1Result/_temporary/0/_temporary/attempt_20181118233210_0004_m_000000_0
18/11/18 23:32:14 ERROR FileFormatWriter: Job job_20181118233210_0004 aborted.
18/11/18 23:32:14 ERROR Executor: Exception in task 0.0 in stage 4.0 (TID 209)
org.apache.spark.SparkException: Task failed while writing rows.
I have tried below code and am able to write the data to local file system. But when i am trying to write the data to S3 bucket then i am getting above errors.
My code :
package Spark_package
import org.apache.spark.SparkConf
import org.apache.spark.sql.SparkSession
object dataload {
def main(args: Array[String]) {
val spark = SparkSession.builder.master("local[*]").appName("dataload").config("spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version", "2").getOrCreate()
val sc = spark.sparkContext
sc.hadoopConfiguration.set("mapreduce.fileoutputcommitter.algorithm.version", "2")
val conf = new SparkConf().setAppName("dataload").setMaster("local[*]").set("spark.speculation","false")
val sqlContext = spark.sqlContext
val data = "C:\\docs\\Input_Market.csv"
val ddf = spark.read.format("csv").option("inferSchema","true").option("header","true").option("delimiter",",").load(data)
ddf.createOrReplaceTempView("data")
val res = spark.sql("select count(*),cust_id,sum_cnt from data group by cust_id,sum_cnt")
res.write.option("header","true").format("csv").save("s3a://Accesskey:SecretKey#test-bucket/Output/Check1Result1")
spark.stop()
}
}