java.lang.IllegalAccessError Error while reading AWS S3 configuration from Java
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
add a comment |
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
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
add a comment |
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
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
java hadoop amazon-s3
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
add a comment |
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
add a comment |
1 Answer
1
active
oldest
votes
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
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
add a comment |
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1 Answer
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1 Answer
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votes
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
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
add a comment |
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
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
add a comment |
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
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
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
add a comment |
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
add a comment |
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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