Robin B created SPARK-17869:
-------------------------------

             Summary: Connect to Amazon S3 using signature version 4 (only 
choice in Frankfurt)
                 Key: SPARK-17869
                 URL: https://issues.apache.org/jira/browse/SPARK-17869
             Project: Spark
          Issue Type: Improvement
    Affects Versions: 2.0.1, 2.0.0
         Environment: Mac OS X / Ubuntu
pyspark
hadoop-aws:2.7.3
aws-java-sdk:1.11.41
            Reporter: Robin B


Connection fails with **400 Bad request** for S3 in Frankfurt region where 
version 4 authentication is needed to connect. 

This issue is somewhat related 
<HADOOP-13325|https://issues.apache.org/jira/browse/HADOOP-13325>, but the 
solution (to include the endpoint explicitly) does nothing to ameliorate the 
problem.

    
sc._jsc.hadoopConfiguration().set('fs.s3a.impl','org.apache.hadoop.fs.s3native.NativeS3FileSystem')
    
sc._jsc.hadoopConfiguration().set('com.amazonaws.services.s3.enableV4','true')
    
sc.setSystemProperty('SDKGlobalConfiguration.ENABLE_S3_SIGV4_SYSTEM_PROPERTY','true')
    
sc._jsc.hadoopConfiguration().set('fs.s3a.endpoint','s3.eu-central-1.amazonaws.com')
    sc._jsc.hadoopConfiguration().set('fs.s3a.awsAccessKeyId','ACCESS_KEY')
    sc._jsc.hadoopConfiguration().set('fs.s3a.awsSecretAccessKey','SECRET_KEY')

    df = spark.read.csv("s3a://BUCKET-NAME/filename.csv")

yields:

        16/10/10 18:39:28 WARN DataSource: Error while looking for metadata 
directory.
        Traceback (most recent call last):
          File "<stdin>", line 1, in <module>
          File 
"/usr/local/Cellar/apache-spark/2.0.0/libexec/python/pyspark/sql/readwriter.py",
 line 363, in csv
            return 
self._df(self._jreader.csv(self._spark._sc._jvm.PythonUtils.toSeq(path)))
          File 
"/usr/local/Cellar/apache-spark/2.0.0/libexec/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py",
 line 933, in __call__
          File 
"/usr/local/Cellar/apache-spark/2.0.0/libexec/python/pyspark/sql/utils.py", 
line 63, in deco
            return f(*a, **kw)
          File 
"/usr/local/Cellar/apache-spark/2.0.0/libexec/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py",
 line 312, in get_return_value
        py4j.protocol.Py4JJavaError: An error occurred while calling o35.csv.
        : java.io.IOException: s3n://BUCKET-NAME : 400 : Bad Request
                at 
org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.processException(Jets3tNativeFileSystemStore.java:453)
                at 
org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.processException(Jets3tNativeFileSystemStore.java:427)
                at 
org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleException(Jets3tNativeFileSystemStore.java:411)
                at 
org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:181)
                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:497)
                at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
                at 
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
                at 
org.apache.hadoop.fs.s3native.$Proxy7.retrieveMetadata(Unknown Source)
                at 
org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:476)
                at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1424)
                at 
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:360)
                at 
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:350)
                at 
scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
                at 
scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
                at scala.collection.immutable.List.foreach(List.scala:381)
                at 
scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
                at scala.collection.immutable.List.flatMap(List.scala:344)
                at 
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
                at 
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
                at 
org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:401)
                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:497)
                at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237)
                at 
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
                at py4j.Gateway.invoke(Gateway.java:280)
                at 
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:128)
                at py4j.commands.CallCommand.execute(CallCommand.java:79)
                at py4j.GatewayConnection.run(GatewayConnection.java:211)
                at java.lang.Thread.run(Thread.java:745)




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