Data Lake Store的备份 [英] Backup of Data Lake Store
问题描述
这导致我到最后一个选项 - Distcp。根据Distcp指南( https://hadoop.apache.org/ docs / current / hadoop-distcp / DistCp.html ),该工具支持保留权限。但是,使用Distcp的缺点是该工具必须从HDInsight运行。虽然它支持内部和集群间复制,但我宁愿没有运行的HDInsight集群仅用于备份操作。
我错过了什么吗?有没有人有任何更好的建议? 解决方案
您的评估是全面的。如果您想复制权限,这些确实是可用的选项。所以你必须选择其中一个,对不起。如果您真的想要一个可以复制权限的无服务器选项,则Azure Data Factory将不得不这样做。您可以在这里创建一个反馈项目 - https://feedback.azure.com/forums / 270578-data-factory ?
谢谢,
Sachin Sheth
Azure Data Lake项目经理。
I am working on a backup strategy for Data Lake Store (DLS). My plan is to create two DLS accounts and copy data between them. I have evaluated several approaches to achieve this but none of them satisfies the requirement to preserve the POSIX ACLs (permissions in DLS parlance). PowerShell cmdlets require data to be downloaded from the primary DLS onto a VM and re-uploaded onto the secondary DLS. The AdlCopy tool works only on Windows 10, does not preserve permissions and neither supports copying data across regions (not that this is a hard requirement). Data Factory seemed like the most sensible approach until I realized it also doesn't preserve permissions. Which leads me to my last option - Distcp. According to the Distcp guide (https://hadoop.apache.org/docs/current/hadoop-distcp/DistCp.html), the tool supports preserving of permissions. However, the downside of using Distcp is that the tool must be run from HDInsight. Although it supports both intra and inter-cluster copying, I would rather not have a running HDInsight cluster just for backup operations. Am I missing something? Does anyone have any better suggestions?
Your assessment is comprehensive. Those are indeed the options that are available should you want to copy over permissions. So you will have to choose one of them, sorry. If you truly want a serverless option that would copy over the permissions, Azure Data Factory would have to be it. Could you please create a feedback item here - https://feedback.azure.com/forums/270578-data-factory?
Thanks, Sachin Sheth Program Manager, Azure Data Lake.
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