java.lang.IllegalAccessError Error while reading AWS S3 configuration from Java












1














I am getting below error when trying to access the configuration from Java.



Exception in thread "main" java.lang.IllegalAccessError: tried to access method org.apache.hadoop.metrics2.lib.MutableCounterLong.<init>(Lorg/apache/hadoop/metrics2/MetricsInfo;J)V from class org.apache.hadoop.fs.s3a.S3AInstrumentation
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:164)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:186)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.<init>(S3AInstrumentation.java:113)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:199)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at MyProgram.GetHiveTableData(MyProgram.java:710)
at MyProgram$1.run(MyProgram.java:674)
at MyProgram$1.run(MyProgram.java:670)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at MyProgram.GetHiveTableDetails(MyProgram.java:670)
at MyProgram.main(MyProgram.java:398)


The Code line is



FileSystem hdfs = FileSystem.get(new URI(uriStr), configuration);


uriStr=s3a://sBucketName



Confurations are set as below for S3A



fs.default.name=fs.defaultFS
fs.defaultFS=s3a://bucketName
sPath: XXXXXX
fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
fs.s3a.access.key=XXXXXX
fs.s3a.secret.key=XXXXXXX
fs.s3a.endpoint=XXXXXXX
hadoop.rpc.protection=privacy
dfs.data.transfer.protection=privacy
hadoop.security.authentication=Kerberos
dfs.namenode.kerberos.principal=hdfs/XXXX@XXXX.XXX.XXXXXX.XXX
yarn.resourcemanager.principal=yarn/XXXX@XXXX.XXX.XXXXXX.XXX


Am I missing anything in configuration setup?
Please advise.










share|improve this question
























  • Did you find a solution for this?
    – Giselle Van Dongen
    Jul 26 '18 at 9:38










  • Yes, I got the solution.
    – Pranav
    Aug 2 '18 at 17:06










  • Could you please post the answer here? It would be really helpful.
    – Giselle Van Dongen
    Aug 6 '18 at 11:56










  • Could you please post the solution here . It would be helpful . Thanks
    – Balaji V
    Sep 25 '18 at 9:36
















1














I am getting below error when trying to access the configuration from Java.



Exception in thread "main" java.lang.IllegalAccessError: tried to access method org.apache.hadoop.metrics2.lib.MutableCounterLong.<init>(Lorg/apache/hadoop/metrics2/MetricsInfo;J)V from class org.apache.hadoop.fs.s3a.S3AInstrumentation
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:164)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:186)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.<init>(S3AInstrumentation.java:113)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:199)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at MyProgram.GetHiveTableData(MyProgram.java:710)
at MyProgram$1.run(MyProgram.java:674)
at MyProgram$1.run(MyProgram.java:670)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at MyProgram.GetHiveTableDetails(MyProgram.java:670)
at MyProgram.main(MyProgram.java:398)


The Code line is



FileSystem hdfs = FileSystem.get(new URI(uriStr), configuration);


uriStr=s3a://sBucketName



Confurations are set as below for S3A



fs.default.name=fs.defaultFS
fs.defaultFS=s3a://bucketName
sPath: XXXXXX
fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
fs.s3a.access.key=XXXXXX
fs.s3a.secret.key=XXXXXXX
fs.s3a.endpoint=XXXXXXX
hadoop.rpc.protection=privacy
dfs.data.transfer.protection=privacy
hadoop.security.authentication=Kerberos
dfs.namenode.kerberos.principal=hdfs/XXXX@XXXX.XXX.XXXXXX.XXX
yarn.resourcemanager.principal=yarn/XXXX@XXXX.XXX.XXXXXX.XXX


Am I missing anything in configuration setup?
Please advise.










share|improve this question
























  • Did you find a solution for this?
    – Giselle Van Dongen
    Jul 26 '18 at 9:38










  • Yes, I got the solution.
    – Pranav
    Aug 2 '18 at 17:06










  • Could you please post the answer here? It would be really helpful.
    – Giselle Van Dongen
    Aug 6 '18 at 11:56










  • Could you please post the solution here . It would be helpful . Thanks
    – Balaji V
    Sep 25 '18 at 9:36














1












1








1


1





I am getting below error when trying to access the configuration from Java.



Exception in thread "main" java.lang.IllegalAccessError: tried to access method org.apache.hadoop.metrics2.lib.MutableCounterLong.<init>(Lorg/apache/hadoop/metrics2/MetricsInfo;J)V from class org.apache.hadoop.fs.s3a.S3AInstrumentation
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:164)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:186)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.<init>(S3AInstrumentation.java:113)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:199)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at MyProgram.GetHiveTableData(MyProgram.java:710)
at MyProgram$1.run(MyProgram.java:674)
at MyProgram$1.run(MyProgram.java:670)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at MyProgram.GetHiveTableDetails(MyProgram.java:670)
at MyProgram.main(MyProgram.java:398)


The Code line is



FileSystem hdfs = FileSystem.get(new URI(uriStr), configuration);


uriStr=s3a://sBucketName



Confurations are set as below for S3A



fs.default.name=fs.defaultFS
fs.defaultFS=s3a://bucketName
sPath: XXXXXX
fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
fs.s3a.access.key=XXXXXX
fs.s3a.secret.key=XXXXXXX
fs.s3a.endpoint=XXXXXXX
hadoop.rpc.protection=privacy
dfs.data.transfer.protection=privacy
hadoop.security.authentication=Kerberos
dfs.namenode.kerberos.principal=hdfs/XXXX@XXXX.XXX.XXXXXX.XXX
yarn.resourcemanager.principal=yarn/XXXX@XXXX.XXX.XXXXXX.XXX


Am I missing anything in configuration setup?
Please advise.










share|improve this question















I am getting below error when trying to access the configuration from Java.



Exception in thread "main" java.lang.IllegalAccessError: tried to access method org.apache.hadoop.metrics2.lib.MutableCounterLong.<init>(Lorg/apache/hadoop/metrics2/MetricsInfo;J)V from class org.apache.hadoop.fs.s3a.S3AInstrumentation
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:164)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.streamCounter(S3AInstrumentation.java:186)
at org.apache.hadoop.fs.s3a.S3AInstrumentation.<init>(S3AInstrumentation.java:113)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:199)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at MyProgram.GetHiveTableData(MyProgram.java:710)
at MyProgram$1.run(MyProgram.java:674)
at MyProgram$1.run(MyProgram.java:670)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at MyProgram.GetHiveTableDetails(MyProgram.java:670)
at MyProgram.main(MyProgram.java:398)


The Code line is



FileSystem hdfs = FileSystem.get(new URI(uriStr), configuration);


uriStr=s3a://sBucketName



Confurations are set as below for S3A



fs.default.name=fs.defaultFS
fs.defaultFS=s3a://bucketName
sPath: XXXXXX
fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
fs.s3a.access.key=XXXXXX
fs.s3a.secret.key=XXXXXXX
fs.s3a.endpoint=XXXXXXX
hadoop.rpc.protection=privacy
dfs.data.transfer.protection=privacy
hadoop.security.authentication=Kerberos
dfs.namenode.kerberos.principal=hdfs/XXXX@XXXX.XXX.XXXXXX.XXX
yarn.resourcemanager.principal=yarn/XXXX@XXXX.XXX.XXXXXX.XXX


Am I missing anything in configuration setup?
Please advise.







java hadoop amazon-s3






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Apr 19 '18 at 7:35

























asked Apr 19 '18 at 5:36









Pranav

88111




88111












  • Did you find a solution for this?
    – Giselle Van Dongen
    Jul 26 '18 at 9:38










  • Yes, I got the solution.
    – Pranav
    Aug 2 '18 at 17:06










  • Could you please post the answer here? It would be really helpful.
    – Giselle Van Dongen
    Aug 6 '18 at 11:56










  • Could you please post the solution here . It would be helpful . Thanks
    – Balaji V
    Sep 25 '18 at 9:36


















  • Did you find a solution for this?
    – Giselle Van Dongen
    Jul 26 '18 at 9:38










  • Yes, I got the solution.
    – Pranav
    Aug 2 '18 at 17:06










  • Could you please post the answer here? It would be really helpful.
    – Giselle Van Dongen
    Aug 6 '18 at 11:56










  • Could you please post the solution here . It would be helpful . Thanks
    – Balaji V
    Sep 25 '18 at 9:36
















Did you find a solution for this?
– Giselle Van Dongen
Jul 26 '18 at 9:38




Did you find a solution for this?
– Giselle Van Dongen
Jul 26 '18 at 9:38












Yes, I got the solution.
– Pranav
Aug 2 '18 at 17:06




Yes, I got the solution.
– Pranav
Aug 2 '18 at 17:06












Could you please post the answer here? It would be really helpful.
– Giselle Van Dongen
Aug 6 '18 at 11:56




Could you please post the answer here? It would be really helpful.
– Giselle Van Dongen
Aug 6 '18 at 11:56












Could you please post the solution here . It would be helpful . Thanks
– Balaji V
Sep 25 '18 at 9:36




Could you please post the solution here . It would be helpful . Thanks
– Balaji V
Sep 25 '18 at 9:36












1 Answer
1






active

oldest

votes


















0














This problem might occurs if the version of aws-sdk and hadoop version is not compatible, you may get more help from Spark job reading from S3 on Spark cluster gives IllegalAccessError: tried to access method MutableCounterLong and java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics



When I roll back hadoop-aws version from 2.8.0 to 2.7.3 the problem is solved.



spark-submit --master local 
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk-pom:1.10.6,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py


According to discussion here https://stackoverflow.com/a/52828978/8025086, it seems it is proper to use aws-java-sdk1.7.4, I just tested this simple example with pyspark, it also works. I am not a java guy, may be someone could have a better explanation.



# this one also works, notice that the version of aws-java-sdk is different
spark-submit --master local
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk:1.7.4,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py





share|improve this answer























  • it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
    – Steve Loughran
    Nov 13 '18 at 14:53











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1 Answer
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oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














This problem might occurs if the version of aws-sdk and hadoop version is not compatible, you may get more help from Spark job reading from S3 on Spark cluster gives IllegalAccessError: tried to access method MutableCounterLong and java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics



When I roll back hadoop-aws version from 2.8.0 to 2.7.3 the problem is solved.



spark-submit --master local 
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk-pom:1.10.6,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py


According to discussion here https://stackoverflow.com/a/52828978/8025086, it seems it is proper to use aws-java-sdk1.7.4, I just tested this simple example with pyspark, it also works. I am not a java guy, may be someone could have a better explanation.



# this one also works, notice that the version of aws-java-sdk is different
spark-submit --master local
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk:1.7.4,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py





share|improve this answer























  • it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
    – Steve Loughran
    Nov 13 '18 at 14:53
















0














This problem might occurs if the version of aws-sdk and hadoop version is not compatible, you may get more help from Spark job reading from S3 on Spark cluster gives IllegalAccessError: tried to access method MutableCounterLong and java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics



When I roll back hadoop-aws version from 2.8.0 to 2.7.3 the problem is solved.



spark-submit --master local 
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk-pom:1.10.6,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py


According to discussion here https://stackoverflow.com/a/52828978/8025086, it seems it is proper to use aws-java-sdk1.7.4, I just tested this simple example with pyspark, it also works. I am not a java guy, may be someone could have a better explanation.



# this one also works, notice that the version of aws-java-sdk is different
spark-submit --master local
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk:1.7.4,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py





share|improve this answer























  • it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
    – Steve Loughran
    Nov 13 '18 at 14:53














0












0








0






This problem might occurs if the version of aws-sdk and hadoop version is not compatible, you may get more help from Spark job reading from S3 on Spark cluster gives IllegalAccessError: tried to access method MutableCounterLong and java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics



When I roll back hadoop-aws version from 2.8.0 to 2.7.3 the problem is solved.



spark-submit --master local 
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk-pom:1.10.6,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py


According to discussion here https://stackoverflow.com/a/52828978/8025086, it seems it is proper to use aws-java-sdk1.7.4, I just tested this simple example with pyspark, it also works. I am not a java guy, may be someone could have a better explanation.



# this one also works, notice that the version of aws-java-sdk is different
spark-submit --master local
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk:1.7.4,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py





share|improve this answer














This problem might occurs if the version of aws-sdk and hadoop version is not compatible, you may get more help from Spark job reading from S3 on Spark cluster gives IllegalAccessError: tried to access method MutableCounterLong and java.lang.NoClassDefFoundError: org/apache/hadoop/fs/StorageStatistics



When I roll back hadoop-aws version from 2.8.0 to 2.7.3 the problem is solved.



spark-submit --master local 
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk-pom:1.10.6,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py


According to discussion here https://stackoverflow.com/a/52828978/8025086, it seems it is proper to use aws-java-sdk1.7.4, I just tested this simple example with pyspark, it also works. I am not a java guy, may be someone could have a better explanation.



# this one also works, notice that the version of aws-java-sdk is different
spark-submit --master local
--packages org.apache.hadoop:hadoop-aws:2.7.3,
com.amazonaws:aws-java-sdk:1.7.4,
org.apache.hadoop:hadoop-common:2.7.3
test_s3.py






share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 13 '18 at 1:39

























answered Nov 13 '18 at 1:06









buxizhizhoum

35849




35849












  • it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
    – Steve Loughran
    Nov 13 '18 at 14:53


















  • it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
    – Steve Loughran
    Nov 13 '18 at 14:53
















it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
– Steve Loughran
Nov 13 '18 at 14:53




it's mixing the hadoop- jar versions which is causing this specific problem (they are designed to be used in sync), but as the AWS SDK is also a moving target, you should stick with whatever hadoop was built with. 1.7.4 is what Hadoop 2.7.x came with, and is the only one safe to use. 1.10.x? Maybe, but its jackson dependency changed, so you've got new problems. See https://issues.apache.org/jira/browse/HADOOP-13050
– Steve Loughran
Nov 13 '18 at 14:53


















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