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https://issues.apache.org/jira/browse/HDFS-11161?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18087560#comment-18087560
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ASF GitHub Bot commented on HDFS-11161:
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yangdong2398 commented on PR #8347:
URL: https://github.com/apache/hadoop/pull/8347#issuecomment-4657614900
> > No changes required to LICENSE, LICENSE-binary, or NOTICE-binary files
as dependencies are shaded and not exposed in distribution.
>
> this is incorrect. LICENSE/NOTICE should match the content of artifacts,
if you shade a 3rd dependency into a `hadoop-foo.jar`, and the hadoop binary
tarball contains `hadoop-foo.jar`, things you should do are:
>
> * update the hadoop-foo.jar bundled LICENSE/NOTICE files to list the 3rd
dependency
> * update the project LICENSE-binary/NOTICE-binary used by the hadoop
binary tarball to include the 3rd dependency
I updated the PR accordingly. Adds the shaded/runtime dependencies
com.baidubce:bce-java-sdk:0.10.330 and joda-time:joda-time:2.3 to
LICENSE-binary.
> Incorporate Baidu Yun BOS file system implementation
> ----------------------------------------------------
>
> Key: HDFS-11161
> URL: https://issues.apache.org/jira/browse/HDFS-11161
> Project: Hadoop HDFS
> Issue Type: New Feature
> Components: fs
> Reporter: Faen Zhang
> Priority: Major
> Labels: pull-request-available
> Original Estimate: 840h
> Remaining Estimate: 840h
>
> Baidu Yun ( https://cloud.baidu.com/ ) is one of top tier cloud computing
> provider. Baidu Yun BOS is widely used among China's cloud users, but
> currently it is not easy to access data laid on BOS storage from user's
> Hadoop/Spark application, because of no original support for BOS in Hadoop.
> This work aims to integrate Baidu Yun BOS with Hadoop. By simple
> configuration, Spark/Hadoop applications can read/write data from BOS without
> any code change. Narrowing the gap between user's APP and data storage, like
> what have been done for S3 and Aliyun OSS in Hadoop.
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