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Posted to commits@dolphinscheduler.apache.org by GitBox <gi...@apache.org> on 2020/03/03 01:21:51 UTC
[GitHub] [incubator-dolphinscheduler] xpdgit opened a new issue #2061: 多节点使用本地文件
xpdgit opened a new issue #2061: 多节点使用本地文件
URL: https://github.com/apache/incubator-dolphinscheduler/issues/2061
在ds中，多节点使用资源中心，需要依赖hdfs和s3。这样对于多节点部署和使用ds的成本比较高。如果使用本地文件，减少成本，这样可以扩展这个系统的易用性，希望能采纳加以改进
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[GitHub] [incubator-dolphinscheduler] dailidong commented on issue #2061:
Multi-node using local files
Posted by GitBox <gi...@apache.org>.
dailidong commented on issue #2061: Multi-node using local files
URL: https://github.com/apache/incubator-dolphinscheduler/issues/2061#issuecomment-598114280
You can share file storage through multiple machines
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你可以使用多机共享存储目录的方案
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[GitHub] [incubator-dolphinscheduler] dailidong commented on issue #2061: 多节点使用本地文件
Posted by GitBox <gi...@apache.org>.
dailidong commented on issue #2061: 多节点使用本地文件
URL: https://github.com/apache/incubator-dolphinscheduler/issues/2061#issuecomment-593749924
how to implement this feature? do you consider this situation: different worker need download this file from the resource center,but this file only save on the special machine, the available of the system may not be available.
how do you think?
btw, English is needed
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[GitHub] [incubator-dolphinscheduler] dailidong closed issue #2061:
Multi-node using local files
Posted by GitBox <gi...@apache.org>.
dailidong closed issue #2061: Multi-node using local files
URL: https://github.com/apache/incubator-dolphinscheduler/issues/2061
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[GitHub] [incubator-dolphinscheduler] xpdgit commented on issue #2061: 多节点使用本地文件
Posted by GitBox <gi...@apache.org>.
xpdgit commented on issue #2061: 多节点使用本地文件
URL: https://github.com/apache/incubator-dolphinscheduler/issues/2061#issuecomment-593799195
As a distributed file system, HDFS ensures high availability of the system.But as an underlying platform, you can provide this pattern for deployment use.This is more lightweight in the eyes of the customer.Again, we left it up to the customer to decide whether to add HDFS to improve high availability or sacrifice that high availability with native files.We offer a variety of models for customers to choose.
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