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https://issues.apache.org/jira/browse/HDFS-11161?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18066699#comment-18066699
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ASF GitHub Bot commented on HDFS-11161:
---------------------------------------
roryqi commented on code in PR #8347:
URL: https://github.com/apache/hadoop/pull/8347#discussion_r2958084232
##########
hadoop-cloud-storage-project/hadoop-bos/pom.xml:
##########
@@ -0,0 +1,343 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!--
+ Licensed under the Apache License, Version 2.0 (the "License");
+ you may not use this file except in compliance with the License.
+ You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License. See accompanying LICENSE file.
+-->
+
+<project xmlns="http://maven.apache.org/POM/4.0.0";
+ xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance";
+ xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
http://maven.apache.org/xsd/maven-4.0.0.xsd";>
+ <modelVersion>4.0.0</modelVersion>
+ <parent>
+ <groupId>org.apache.hadoop</groupId>
+ <artifactId>hadoop-project</artifactId>
+ <version>3.6.0-SNAPSHOT</version>
+ <relativePath>../../hadoop-project</relativePath>
+ </parent>
+
+ <artifactId>hadoop-bos</artifactId>
+ <version>3.6.0-SNAPSHOT</version>
Review Comment:
Why do we use a SNAPSHOT version?
> 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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