[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2017-06-20 Thread Anu Engineer (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Anu Engineer updated HDFS-8392:
---
Component/s: ozone

> DataNode support for multiple datasets
> --
>
> Key: HDFS-8392
> URL: https://issues.apache.org/jira/browse/HDFS-8392
> Project: Hadoop HDFS
>  Issue Type: Sub-task
>  Components: datanode, ozone
>Reporter: Arpit Agarwal
>Assignee: Arpit Agarwal
> Attachments: HDFS-8392-HDFS-7240.01.patch, 
> HDFS-8392-HDFS-7240.02.patch, HDFS-8392-HDFS-7240.03.patch
>
>
> For HDFS-7240 we would like to share available DataNode storage across HDFS 
> blocks and Ozone objects.
> The DataNode already supports sharing available storage across multiple block 
> pool IDs for the federation feature. However all federated block pools use 
> the same dataset implementation i.e. {{FsDatasetImpl}}.
> We can extend the DataNode to support multiple dataset implementations so the 
> same storage space can be shared across one or more HDFS block pools and one 
> or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2016-03-15 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Fix Version/s: (was: HDFS-7240)

> DataNode support for multiple datasets
> --
>
> Key: HDFS-8392
> URL: https://issues.apache.org/jira/browse/HDFS-8392
> Project: Hadoop HDFS
>  Issue Type: Sub-task
>  Components: datanode
>Reporter: Arpit Agarwal
>Assignee: Arpit Agarwal
> Attachments: HDFS-8392-HDFS-7240.01.patch, 
> HDFS-8392-HDFS-7240.02.patch, HDFS-8392-HDFS-7240.03.patch
>
>
> For HDFS-7240 we would like to share available DataNode storage across HDFS 
> blocks and Ozone objects.
> The DataNode already supports sharing available storage across multiple block 
> pool IDs for the federation feature. However all federated block pools use 
> the same dataset implementation i.e. {{FsDatasetImpl}}.
> We can extend the DataNode to support multiple dataset implementations so the 
> same storage space can be shared across one or more HDFS block pools and one 
> or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-06-01 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Target Version/s:   (was: HDFS-7240)

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Fix For: HDFS-7240

 Attachments: HDFS-8392-HDFS-7240.01.patch, 
 HDFS-8392-HDFS-7240.02.patch, HDFS-8392-HDFS-7240.03.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-06-01 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

   Resolution: Fixed
Fix Version/s: HDFS-7240
 Hadoop Flags: Reviewed
   Status: Resolved  (was: Patch Available)

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Fix For: HDFS-7240

 Attachments: HDFS-8392-HDFS-7240.01.patch, 
 HDFS-8392-HDFS-7240.02.patch, HDFS-8392-HDFS-7240.03.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-22 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Attachment: HDFS-8392-HDFS-7240.03.patch

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Attachments: HDFS-8392-HDFS-7240.01.patch, 
 HDFS-8392-HDFS-7240.02.patch, HDFS-8392-HDFS-7240.03.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-22 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Attachment: HDFS-8392-HDFS-7240.02.patch

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Attachments: HDFS-8392-HDFS-7240.01.patch, 
 HDFS-8392-HDFS-7240.02.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-22 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Attachment: HDFS-8456-HDFS-7240.02.patch

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Attachments: HDFS-8392-HDFS-7240.01.patch, 
 HDFS-8456-HDFS-7240.02.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-22 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Attachment: (was: HDFS-8456-HDFS-7240.02.patch)

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Attachments: HDFS-8392-HDFS-7240.01.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-21 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Attachment: HDFS-8392-HDFS-7240.01.patch

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Attachments: HDFS-8392-HDFS-7240.01.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-21 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Status: Patch Available  (was: Open)

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal
 Attachments: HDFS-8392-HDFS-7240.01.patch


 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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[jira] [Updated] (HDFS-8392) DataNode support for multiple datasets

2015-05-13 Thread Arpit Agarwal (JIRA) 

 [ 
https://issues.apache.org/jira/browse/HDFS-8392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Arpit Agarwal updated HDFS-8392:

Summary: DataNode support for multiple datasets  (was: DataNode refactoring 
to support multiple datasets)

 DataNode support for multiple datasets
 --

 Key: HDFS-8392
 URL: https://issues.apache.org/jira/browse/HDFS-8392
 Project: Hadoop HDFS
  Issue Type: Sub-task
  Components: datanode
Reporter: Arpit Agarwal
Assignee: Arpit Agarwal

 For HDFS-7240 we would like to share available DataNode storage across HDFS 
 blocks and Ozone objects.
 The DataNode already supports sharing available storage across multiple block 
 pool IDs for the federation feature. However all federated block pools use 
 the same dataset implementation i.e. {{FsDatasetImpl}}.
 We can extend the DataNode to support multiple dataset implementations so the 
 same storage space can be shared across one or more HDFS block pools and one 
 or more Ozone block pools.



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