Spark Scala read csv file using s3a - scala

Question

I am trying to read a csv (native) file from an S3 bucket using a locally running Spark - Scala. I am able to read the file using the http protocol but I intend to use the s3a protocol.
Below is the configuration setup before the call.
val awsId = System.getenv("AWS_ACCESS_KEY_ID")
val awsKey = System.getenv("AWS_SECRET_ACCESS_KEY")
sc.hadoopConfiguration.set("fs.s3a.access.key", awsId)
sc.hadoopConfiguration.set("fs.s3a.secret.key", awsKey)
sc.hadoopConfiguration.set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
sc.hadoopConfiguration.set("fs.s3a.aws.credentials.provider","org.apache.hadoop.fs.s3a.BasicAWSCredentialsProvider");
sc.hadoopConfiguration.set("com.amazonaws.services.s3.enableV4", "true")
sc.hadoopConfiguration.set("fs.s3a.endpoint", "us-east-1.amazonaws.com")
sc.hadoopConfiguration.set("fs.s3a.impl.disable.cache", "true")
here
Read the file and print the first 5 rows from the rdd/dataframe
val fileAPath = Files.s3aPath(Files.input);
println("reading file s3", fileAPath)
// s3a://bucket-name/dataSets/policyoutput.csv
val df = sc.textFile(fileAPath);
df.take(5).foreach(println);
I am getting the below exception
Exception in thread "main" com.amazonaws.services.s3.model.AmazonS3Exception: Status Code: 400, AWS Service: Amazon S3, AWS Request ID: FD92FDC175C64AA2, AWS Error Code: null, AWS Error Message: Bad Request, S3 Extended Request ID: IuloUEASgqnY4lrSMpbyJpwgFfCFbttxuxmJ9hGHMUgZTbO/UR/YyDgjix+3rBe0Y4MQHPzNvhA=
at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:798)
at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:421)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:232)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3528)
at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1031)
at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:994)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:154)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2669)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:258)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:229)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:315)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:194)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1333)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.take(RDD.scala:1327)
Any help / direction for further investigation will be much appreciated.
Thanks

Answer 1

Anyone else struggling with this I had to update the version of hadoop-client
additionally the links below were quite helpful
https://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html
https://disqus.com/by/cfeduke/?utm_source=reply&utm_medium=email&utm_content=comment_author
http://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region
pom details below
<properties>
<spark.version>2.2.0</spark.version>
<hadoop.version>2.8.0</hadoop.version>
</properties>
<dependencies>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core_2.11 -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-aws</artifactId>
<version>${hadoop.version}</version>
</dependency>