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https://issues.apache.org/jira/browse/HADOOP-18762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17730807#comment-17730807
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ASF GitHub Bot commented on HADOOP-18762:
-----------------------------------------
zhangzqs opened a new pull request, #5725:
URL: https://github.com/apache/hadoop/pull/5725
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### Description of PR
See (HADOOP-18762)[https://issues.apache.org/jira/browse/HADOOP-18762]
### How was this patch tested?
### For code changes:
- [ ] Does the title or this PR starts with the corresponding JIRA issue id
(e.g. 'HADOOP-17799. Your PR title ...')?
- [ ] Object storage: have the integration tests been executed and the
endpoint declared according to the connector-specific documentation?
- [ ] If adding new dependencies to the code, are these dependencies
licensed in a way that is compatible for inclusion under [ASF
2.0](http://www.apache.org/legal/resolved.html#category-a)?
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> Add Qiniu Cloud Kodo File System Implementation
> -----------------------------------------------
>
> Key: HADOOP-18762
> URL: https://issues.apache.org/jira/browse/HADOOP-18762
> Project: Hadoop Common
> Issue Type: New Feature
> Reporter: Zhiqiang Zhang
> Priority: Major
>
> Qiniu Kodo is a self-developed unstructured data storage management platform
> by Qiniu Cloud Storage that supports center and edge storage. The platform
> has been verified by a large number of users for many years and has been
> widely used in various scenarios of massive data management. It is widely
> used in many cloud service users in China, but currently in the Apache Hadoop
> project, there is a lack of a solution that supports Kodo through
> Hadoop/Spark directly.
> The purpose of this project is to integrate Kodo into Hadoop/Spark projects,
> so that users can operate Kodo through the API of Hadoop/Spark without
> additional learning costs.
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