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https://issues.apache.org/jira/browse/HADOOP-15059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16272093#comment-16272093
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Vinod Kumar Vavilapalli commented on HADOOP-15059:
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Tx for taking this up [~jlowe]!
bq. I'm attaching a patch that implements the "bridge release(s)" approach
where the code supports reading the new format but will write the old format by
default.
+1 for the bridging approach.
bq. The main drawback is that we don't get to easily leverage the benefits of
the new format since it's not the default format.
I realized it's just not about changing the default format.
ContainerLaunchContext.tokens in YARN is unfortunately a byte-buffer. Taking a
protobuf, wrapping it into a byte-buffer and sending it to the RM is backwards
to me. The right way to use this in YARN is to assume that the existing tokens
field is old-style credentials and then add a new first-class protobuf based
Credentials field.
The patch looks mostly good to me.
bq. minor suggestion of the private statics for version can be replaced with
the enums
If we are no longer going to bump up this version in the protobuf world, +1 -
there will be only two of these ever. IAC, these are private.
One other minor suggestion if you are doing the above.
Credentials.SerializedFormat can be static.
> 3.0 deployment cannot work with old version MR tar ball which break rolling
> upgrade
> -----------------------------------------------------------------------------------
>
> Key: HADOOP-15059
> URL: https://issues.apache.org/jira/browse/HADOOP-15059
> Project: Hadoop Common
> Issue Type: Bug
> Components: security
> Reporter: Junping Du
> Assignee: Jason Lowe
> Priority: Blocker
> Attachments: HADOOP-15059.001.patch, HADOOP-15059.002.patch,
> HADOOP-15059.003.patch, HADOOP-15059.004.patch
>
>
> I tried to deploy 3.0 cluster with 2.9 MR tar ball. The MR job is failed
> because following error:
> {noformat}
> 2017-11-21 12:42:50,911 INFO [main]
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster: Created MRAppMaster for
> application appattempt_1511295641738_0003_000001
> 2017-11-21 12:42:51,070 WARN [main] org.apache.hadoop.util.NativeCodeLoader:
> Unable to load native-hadoop library for your platform... using builtin-java
> classes where applicable
> 2017-11-21 12:42:51,118 FATAL [main]
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster: Error starting MRAppMaster
> java.lang.RuntimeException: Unable to determine current user
> at
> org.apache.hadoop.conf.Configuration$Resource.getRestrictParserDefault(Configuration.java:254)
> at
> org.apache.hadoop.conf.Configuration$Resource.<init>(Configuration.java:220)
> at
> org.apache.hadoop.conf.Configuration$Resource.<init>(Configuration.java:212)
> at
> org.apache.hadoop.conf.Configuration.addResource(Configuration.java:888)
> at
> org.apache.hadoop.mapreduce.v2.app.MRAppMaster.main(MRAppMaster.java:1638)
> Caused by: java.io.IOException: Exception reading
> /tmp/nm-local-dir/usercache/jdu/appcache/application_1511295641738_0003/container_e03_1511295641738_0003_01_000001/container_tokens
> at
> org.apache.hadoop.security.Credentials.readTokenStorageFile(Credentials.java:208)
> at
> org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:907)
> at
> org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:820)
> at
> org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:689)
> at
> org.apache.hadoop.conf.Configuration$Resource.getRestrictParserDefault(Configuration.java:252)
> ... 4 more
> Caused by: java.io.IOException: Unknown version 1 in token storage.
> at
> org.apache.hadoop.security.Credentials.readTokenStorageStream(Credentials.java:226)
> at
> org.apache.hadoop.security.Credentials.readTokenStorageFile(Credentials.java:205)
> ... 8 more
> 2017-11-21 12:42:51,122 INFO [main] org.apache.hadoop.util.ExitUtil: Exiting
> with status 1: java.lang.RuntimeException: Unable to determine current user
> {noformat}
> I think it is due to token incompatiblity change between 2.9 and 3.0. As we
> claim "rolling upgrade" is supported in Hadoop 3, we should fix this before
> we ship 3.0 otherwise all MR running applications will get stuck during/after
> upgrade.
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