Details
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Task
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Status: In Progress
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Major
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Resolution: Unresolved
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Description
Relying on Guava implementation in Hadoop has been painful due to compatibility and vulnerability issues.
Guava updates tend to break/deprecate APIs. This made It hard to maintain backward compatibility within hadoop versions and clients/downstreams.
With 3.x uses java8+, the java 8 features should preferred to Guava, reducing the footprint, and giving stability to source code.
This jira should serve as an umbrella toward an incremental effort to reduce the usage of Guava in the source code and to create subtasks to replace Guava classes with Java features.
Furthermore, it will be good to add a rule in the pre-commit build to warn against introducing a new Guava usage in certain modules.
Any one willing to take part in this code refactoring has to:
- Focus on one module at a time in order to reduce the conflicts and the size of the patch. This will significantly help the reviewers.
- Run all the unit tests related to the module being affected by the change. It is critical to verify that any change will not break the unit tests, or cause a stable test case to become flaky.
- Merge should be done to the following branches: trunk, branch-3.3, branch-3.2, branch-3.1
A list of sub tasks replacing Guava APIs with java8 features:
com.google.common.io.BaseEncoding#base64() java.util.Base64
com.google.common.io.BaseEncoding#base64Url() java.util.Base64
com.google.common.base.Joiner.on() java.lang.String#join() or
java.util.stream.Collectors#joining()
com.google.common.base.Optional#of() java.util.Optional#of()
com.google.common.base.Optional#absent() java.util.Optional#empty()
com.google.common.base.Optional#fromNullable() java.util.Optional#ofNullable()
com.google.common.base.Optional java.util.Optional
com.google.common.base.Predicate java.util.function.Predicate
com.google.common.base.Function java.util.function.Function
com.google.common.base.Supplier java.util.function.Supplier
I also vote for the replacement of Precondition with either a wrapper, or Apache commons lang.
I believe you guys have dealt with Guava compatibilities in the past and probably have better insights. Any thoughts? weichiu, gabor.bota, stevel@apache.org, ayushtkn, busbey, jeagles, kihwal
Attachments
Issue Links
- fixes
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DRILL-7854 When writing to S3 "WriteOperationHelper.newUploadPartRequest" throws "NoSuchMethodError"
- Resolved
- incorporates
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HADOOP-17743 Replace Guava Lists usage by Hadoop's own Lists in hadoop-common, hadoop-tools and cloud-storage projects
- Resolved
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HDFS-16054 Replace Guava Lists usage by Hadoop's own Lists in hadoop-hdfs-project
- Resolved
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MAPREDUCE-7350 Replace Guava Lists usage by Hadoop's own Lists in hadoop-mapreduce-project
- Resolved
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YARN-10805 Replace Guava Lists usage by Hadoop's own Lists in hadoop-yarn-project
- Resolved
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HADOOP-17753 Keep restrict-imports-enforcer-rule for Guava Lists in hadoop-main pom
- Resolved
- relates to
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HADOOP-17967 Keep restrict-imports-enforcer-rule for Guava VisibleForTesting in hadoop-main pom
- Resolved
1.
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Replace Guava Preconditions to avoid Guava dependency | In Progress | Ahmed Hussein | |
2.
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Add unguava implementation for Joiner in hadoop.StringUtils | Patch Available | Ahmed Hussein | |
3.
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Create Classes to wrap Guava code replacement | Open | Unassigned | |
4.
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Replace Guava.Splitter with common.util.StringUtils | Open | Unassigned |