AWS-Java-SDK version issue with hadoop 2.7.7 - apache-spark

Question

i am running a simple spark app to get file from s3 in rdd and convert it into pyspark dataframe:
data=sc.textFile('s3a://bigdata-plat/churnData/transaction.csv')
df=data.toDF()
also tried,
data=sc.textFile('s3a://bigdata-plat/churnData/transaction.csv')
df = data.map(lambda x: Row(**f(x))).toDF()
but it gives same error:
java.lang.NoSuchMethodError: com.amazonaws.services.s3.transfer.TransferManager.<init>(Lcom/amazonaws/services/s3/AmazonS3;Ljava/util/concurrent/ThreadPoolExecutor;)V
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:287)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2667)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:93)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2701)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2683)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:372)
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:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:61)
at org.apache.spark.api.java.AbstractJavaRDDLike.partitions(JavaRDDLike.scala:45)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:745)
i am setting spark context as:
pyspark.SparkConf().setAll([('spark.eventLog.dir', '/spark/logs/tmp/')
,("spark.driver.extraClassPath","path/hadoop-common-2.7.7.jar:/path/aws-java-sdk-1.10.6.jar:path/hadoop-aws-2.7.7.jar")
,("spark.hadoop.fs.s3a.impl","org.apache.hadoop.fs.s3a.S3AFileSystem")
,("fs.s3a.access.key", AWS_ACCESS_KEY)
,("fs.s3a.secret.key", AWS_SECRET_KEY)])
I am using Spark 2.4 , hadoop 2.7.7
aws-java-sdk versions tried : 1.11.440, 1.11.75, 1.10.6, 1.7.4
i am unable to understand here is it dependency issue?
or i am missing any additional jar files that are needed?
any solution?

Answer 1

The AWS SDKs are pretty brittle. You need to use the exact version of the AWS SDK the hadoop-aws connector was built with, otherwise things either don't link properly or fail in various ways.
For the files you need, see:
https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-aws/2.7.7
PS, no need to set spark.hadoop.fs.s3a.impl. That binding is automatic