Samuel Alexander created ZEPPELIN-327:
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Summary: Accessing S3 fails with java.lang.verifyError
Key: ZEPPELIN-327
URL: https://issues.apache.org/jira/browse/ZEPPELIN-327
Project: Zeppelin
Issue Type: Bug
Components: Core, Interpreters
Affects Versions: 0.6.0
Environment: Zeppelin built from github, Spark 1.4 and Hadoop 2.6.0
Reporter: Samuel Alexander
Fix For: 0.6.0
I am trying to do some basic analytics using Spark and Zeppelin.
I've set up the spark cluster using the steps present in [spark-ec2]
(http://spark.apache.org/docs/latest/ec2-scripts.html) Also I've set up the
zeppelin in EC2 using the steps present in this [blog]
(http://christopher5106.github.io/big/data/2015/07/03/iPython-Jupyter-Spark-Notebook-and-Zeppelin-comparison-for-big-data-in-scala-and-python-for-spark-clusters.html)
I've add the libraries that I want to use using the below code in zeppelin
notebook
%dep
z.reset()
// Add spark-csv package
z.load("com.databricks:spark-csv_2.10:1.2.0")
// Add jars required for s3 access
z.load("org.apache.hadoop:hadoop-aws:2.6.0")
And below code is to read CSV files from S3
sc.hadoopConfiguration.set("fs.s3n.impl","org.apache.hadoop.fs.s3native.NativeS3FileSystem")
sc.hadoopConfiguration.set("fs.s3n.awsAccessKeyId","XXX")
sc.hadoopConfiguration.set("fs.s3n.awsSecretAccessKey","XXX")
val path = "s3n://XXX/XXX.csv"
val df = sqlContext.read.format("com.databricks.spark.csv").option("header",
"true").load(path)
I am getting the below exception
java.lang.VerifyError: Bad type on operand stack Exception Details:
Location:
org/apache/hadoop/fs/s3native/Jets3tNativeFileSystemStore.initialize(Ljava/net/URI;Lorg/apache/hadoop/conf/Configuration;)V
@38: invokespecial
Reason: Type 'org/jets3t/service/security/AWSCredentials' (current frame,
stack[3]) is not assignable to
'org/jets3t/service/security/ProviderCredentials'
Current Frame: bci: @38 flags: { }
locals: { 'org/apache/hadoop/fs/s3native/Jets3tNativeFileSystemStore',
'java/net/URI', 'org/apache/hadoop/conf/Configuration',
'org/apache/hadoop/fs/s3/S3Credentials',
'org/jets3t/service/security/AWSCredentials' }
stack: { 'org/apache/hadoop/fs/s3native/Jets3tNativeFileSystemStore',
uninitialized 32, uninitialized 32,
'org/jets3t/service/security/AWSCredentials' }
Bytecode:
0000000: bb00 0259 b700 034e 2d2b 2cb6 0004 bb00 0000010: 0559 2db6 0006 2db6
0007 b700 083a 042a 0000020: bb00 0959 1904 b700 0ab5 000b a700 0b3a 0000030:
042a 1904 b700 0d2a 2c12 0e03 b600 0fb5 0000040: 0010 2a2c 1211 1400 12b6 0014
1400 15b8 0000050: 0017 b500 182a 2c12 1914 0015 b600 1414 0000060: 0015 b800
17b5 001a 2a2c 121b b600 1cb5 0000070: 001d 2abb 001e 592b b600 1fb7 0020 b500
0000080: 21b1
Exception Handler Table: bci [14, 44] => handler: 47
Stackmap Table:
full_frame(@47,{Object[#191],Object[#192],Object[#193],Object[#194]},{Object[#195]})
same_frame(@55)
at
org.apache.hadoop.fs.s3native.NativeS3FileSystem.createDefaultStore(NativeS3FileSystem.java:334)
at
org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:324)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
I've built zeppelin with hadoop 2.6.0 using the command mvn install -DskipTests
-Dspark.version=1.4.0 -Dhadoop.version=2.6.0 and I am using local Spark
I've also tried by setting Spark home to external Spark instance with spark
version 1.4 and hadoop version 2.6.0. Still getting the same issue
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