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Posted to issues@spark.apache.org by "Robin B (JIRA)" <ji...@apache.org> on 2016/10/11 07:44:20 UTC
[jira] [Created] (SPARK-17869) Connect to Amazon S3 using signature
version 4 (only choice in Frankfurt)
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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