[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shilun Fan updated HDFS-16203:
--
Hadoop Flags: Reviewed
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
> Components: datanode, ui
>Affects Versions: 3.4.0
>Reporter: Tao Li
>Assignee: Tao Li
>Priority: Major
> Labels: pull-request-available
> Fix For: 3.4.0
>
> Attachments: image-2021-09-01-19-16-27-172.png
>
> Time Spent: 6h 20m
> Remaining Estimate: 0h
>
> *Discover datanodes with unbalanced volume usage by the standard deviation.*
> *In some scenarios, we may cause unbalanced datanode disk usage:*
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> *We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.*
> *{color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}*
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
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[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shilun Fan updated HDFS-16203:
--
Component/s: datanode
ui
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
> Components: datanode, ui
>Affects Versions: 3.4.0
>Reporter: Tao Li
>Assignee: Tao Li
>Priority: Major
> Labels: pull-request-available
> Fix For: 3.4.0
>
> Attachments: image-2021-09-01-19-16-27-172.png
>
> Time Spent: 6h 20m
> Remaining Estimate: 0h
>
> *Discover datanodes with unbalanced volume usage by the standard deviation.*
> *In some scenarios, we may cause unbalanced datanode disk usage:*
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> *We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.*
> *{color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}*
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
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[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shilun Fan updated HDFS-16203:
--
Target Version/s: 3.4.0
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
> Components: datanode, ui
>Affects Versions: 3.4.0
>Reporter: Tao Li
>Assignee: Tao Li
>Priority: Major
> Labels: pull-request-available
> Fix For: 3.4.0
>
> Attachments: image-2021-09-01-19-16-27-172.png
>
> Time Spent: 6h 20m
> Remaining Estimate: 0h
>
> *Discover datanodes with unbalanced volume usage by the standard deviation.*
> *In some scenarios, we may cause unbalanced datanode disk usage:*
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> *We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.*
> *{color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}*
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
--
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[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Shilun Fan updated HDFS-16203:
--
Affects Version/s: 3.4.0
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
>Affects Versions: 3.4.0
>Reporter: Tao Li
>Assignee: Tao Li
>Priority: Major
> Labels: pull-request-available
> Fix For: 3.4.0
>
> Attachments: image-2021-09-01-19-16-27-172.png
>
> Time Spent: 6h 20m
> Remaining Estimate: 0h
>
> *Discover datanodes with unbalanced volume usage by the standard deviation.*
> *In some scenarios, we may cause unbalanced datanode disk usage:*
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> *We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.*
> *{color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}*
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
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[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated HDFS-16203:
--
Labels: pull-request-available (was: )
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
>Reporter: tomscut
>Assignee: tomscut
>Priority: Major
> Labels: pull-request-available
> Attachments: image-2021-09-01-19-16-27-172.png
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> *Discover datanodes with unbalanced volume usage by the standard deviation.*
> *In some scenarios, we may cause unbalanced datanode disk usage:*
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> *We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.*
> *{color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}*
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
--
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[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
tomscut updated HDFS-16203:
---
Description:
*Discover datanodes with unbalanced volume usage by the standard deviation.*
*In some scenarios, we may cause unbalanced datanode disk usage:*
1. Repair the damaged disk and make it online again.
2. Add disks to some Datanodes.
3. Some disks are damaged, resulting in slow data writing.
4. Use some custom volume choosing policies.
In the case of unbalanced disk usage, a sudden increase in datanode write
traffic may result in busy disk I/O with low volume usage, resulting in
decreased throughput across datanodes.
We need to find these nodes in time to do diskBalance, or other processing.
Based on the volume usage of each datanode, we can calculate the standard
deviation of the volume usage. The more unbalanced the volume, the higher the
standard deviation.
*We can display the result on the Web of namenode, and then sorting directly to
find the nodes where the volumes usages are unbalanced.*
*{color:#172b4d}This interface is only used to obtain metrics and does not
adversely affect namenode performance.{color}*
{color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
was:
Discover datanodes with unbalanced volume usage by the standard deviation
In some scenarios, we may cause unbalanced datanode disk usage:
1. Repair the damaged disk and make it online again.
2. Add disks to some Datanodes.
3. Some disks are damaged, resulting in slow data writing.
4. Use some custom volume choosing policies.
In the case of unbalanced disk usage, a sudden increase in datanode write
traffic may result in busy disk I/O with low volume usage, resulting in
decreased throughput across datanodes.
We need to find these nodes in time to do diskBalance, or other processing.
Based on the volume usage of each datanode, we can calculate the standard
deviation of the volume usage. The more unbalanced the volume, the higher the
standard deviation.
We can display the result on the Web of namenode, and then sorting directly to
find the nodes where the volumes usages are unbalanced.
{color:#172b4d}This interface is only used to obtain metrics and does not
adversely affect namenode performance.{color}
{color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
>Reporter: tomscut
>Assignee: tomscut
>Priority: Major
> Attachments: image-2021-09-01-19-16-27-172.png
>
>
> *Discover datanodes with unbalanced volume usage by the standard deviation.*
> *In some scenarios, we may cause unbalanced datanode disk usage:*
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> *We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.*
> *{color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}*
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
--
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[jira] [Updated] (HDFS-16203) Discover datanodes with unbalanced block pool usage by the standard deviation
[
https://issues.apache.org/jira/browse/HDFS-16203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
tomscut updated HDFS-16203:
---
Description:
Discover datanodes with unbalanced volume usage by the standard deviation
In some scenarios, we may cause unbalanced datanode disk usage:
1. Repair the damaged disk and make it online again.
2. Add disks to some Datanodes.
3. Some disks are damaged, resulting in slow data writing.
4. Use some custom volume choosing policies.
In the case of unbalanced disk usage, a sudden increase in datanode write
traffic may result in busy disk I/O with low volume usage, resulting in
decreased throughput across datanodes.
We need to find these nodes in time to do diskBalance, or other processing.
Based on the volume usage of each datanode, we can calculate the standard
deviation of the volume usage. The more unbalanced the volume, the higher the
standard deviation.
We can display the result on the Web of namenode, and then sorting directly to
find the nodes where the volumes usages are unbalanced.
{color:#172b4d}This interface is only used to obtain metrics and does not
adversely affect namenode performance.{color}
{color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
was:
Discover datanodes with unbalanced volume usage by the standard deviation
In some scenarios, we may cause unbalanced datanode disk usage:
1. Repair the damaged disk and make it online again.
2. Add disks to some Datanodes.
3. Some disks are damaged, resulting in slow data writing.
4. Use some custom volume choosing policies.
In the case of unbalanced disk usage, a sudden increase in datanode write
traffic may result in busy disk I/O with low volume usage, resulting in
decreased throughput across datanodes.
We need to find these nodes in time to do diskBalance, or other processing.
Based on the volume usage of each datanode, we can calculate the standard
deviation of the volume usage. The more unbalanced the volume, the higher the
standard deviation.
We can display the result on the Web of namenode, and then sorting directly to
find the nodes where the volumes usages are unbalanced.
{color:#172b4d}This interface is only used to obtain metrics and does not
adversely affect namenode performance.{color}
Environment: (was:
!image-2021-09-01-19-16-27-172.png|width=581,height=216!)
> Discover datanodes with unbalanced block pool usage by the standard deviation
> -
>
> Key: HDFS-16203
> URL: https://issues.apache.org/jira/browse/HDFS-16203
> Project: Hadoop HDFS
> Issue Type: New Feature
>Reporter: tomscut
>Assignee: tomscut
>Priority: Major
> Attachments: image-2021-09-01-19-16-27-172.png
>
>
> Discover datanodes with unbalanced volume usage by the standard deviation
> In some scenarios, we may cause unbalanced datanode disk usage:
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> We need to find these nodes in time to do diskBalance, or other processing.
> Based on the volume usage of each datanode, we can calculate the standard
> deviation of the volume usage. The more unbalanced the volume, the higher the
> standard deviation.
> We can display the result on the Web of namenode, and then sorting directly
> to find the nodes where the volumes usages are unbalanced.
> {color:#172b4d}This interface is only used to obtain metrics and does not
> adversely affect namenode performance.{color}
>
> {color:#172b4d}!image-2021-09-01-19-16-27-172.png|width=581,height=216!{color}
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