[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-16 Thread Marton Elek (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marton Elek updated HDDS-1988:
--
Fix Version/s: 0.5.0

> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
> Fix For: 0.5.0
>
>  Time Spent: 20m
>  Remaining Estimate: 0h
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.
>  
> No fix is required for this, as the information is retrieved from the MPU Key 
> table, this information is not retrieved through RocksDB Table iteration. (As 
> when we use get() this checks from cache first, and then it checks table)
>  
> Used this Jira to add an integration test to verify the behavior.



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-16 Thread Marton Elek (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Marton Elek updated HDDS-1988:
--
Resolution: Fixed
Status: Resolved  (was: Patch Available)

> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.
>  
> No fix is required for this, as the information is retrieved from the MPU Key 
> table, this information is not retrieved through RocksDB Table iteration. (As 
> when we use get() this checks from cache first, and then it checks table)
>  
> Used this Jira to add an integration test to verify the behavior.



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-15 Thread Bharat Viswanadham (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bharat Viswanadham updated HDDS-1988:
-
Description: 
This Jira is to fix listParts API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.

 

No fix is required for this, as the information is retrieved from the MPU Key 
table, this information is not retrieved through RocksDB Table iteration. (As 
when we use get() this checks from cache first, and then it checks table)

 

Used this Jira to add an integration test to verify the behavior.

  was:
This Jira is to fix listParts API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.

 

No fix is required for this, as the information is retrieved from the MPU Key 
table, this information is not retrieved through RocksDB Table iteration. (As 
when we use get() this checks from cache first, and then it checks table)


> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.
>  
> No fix is required for this, as the information is retrieved from the MPU Key 
> table, this information is not retrieved through RocksDB Table iteration. (As 
> when we use get() this checks from cache first, and then it checks table)
>  
> Used this Jira to add an integration test to verify the behavior.



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-15 Thread Bharat Viswanadham (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bharat Viswanadham updated HDDS-1988:
-
Target Version/s: 0.5.0

> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.
>  
> No fix is required for this, as the information is retrieved from the MPU Key 
> table, this information is not retrieved through RocksDB Table iteration. (As 
> when we use get() this checks from cache first, and then it checks table)



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-15 Thread Bharat Viswanadham (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bharat Viswanadham updated HDDS-1988:
-
Description: 
This Jira is to fix listParts API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.

 

No fix is required for this, as the information is retrieved from the MPU Key 
table, this information is not retrieved through RocksDB Table iteration. (As 
when we use get() this checks from cache first, and then it checks table)

  was:
This Jira is to fix listParts API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.


> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.
>  
> No fix is required for this, as the information is retrieved from the MPU Key 
> table, this information is not retrieved through RocksDB Table iteration. (As 
> when we use get() this checks from cache first, and then it checks table)



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-15 Thread Bharat Viswanadham (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bharat Viswanadham updated HDDS-1988:
-
Status: Patch Available  (was: Open)

> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
>  Time Spent: 10m
>  Remaining Estimate: 0h
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-15 Thread ASF GitHub Bot (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

ASF GitHub Bot updated HDDS-1988:
-
Labels: pull-request-available  (was: )

> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>  Labels: pull-request-available
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-10-10 Thread Bharat Viswanadham (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bharat Viswanadham updated HDDS-1988:
-
Description: 
This Jira is to fix listParts API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.

  was:
This Jira is to fix listBucket API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.


> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Assignee: Bharat Viswanadham
>Priority: Major
>
> This Jira is to fix listParts API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.



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[jira] [Updated] (HDDS-1988) Fix listParts API

2019-08-19 Thread Bharat Viswanadham (Jira)


 [ 
https://issues.apache.org/jira/browse/HDDS-1988?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Bharat Viswanadham updated HDDS-1988:
-
Description: 
This Jira is to fix listBucket API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listParts of a MPU key, it should use both 
in-memory cache and rocksdb mpu table to list parts of a mpu key.

  was:
This Jira is to fix listBucket API in HA code path.

In HA, we have an in-memory cache, where we put the result to in-memory cache 
and return the response, later it will be picked by double buffer thread and it 
will flush to disk. So, now when do listBuckets, it should use both in-memory 
cache and rocksdb bucket table to list buckets in a volume.


> Fix listParts API
> -
>
> Key: HDDS-1988
> URL: https://issues.apache.org/jira/browse/HDDS-1988
> Project: Hadoop Distributed Data Store
>  Issue Type: Sub-task
>Reporter: Bharat Viswanadham
>Priority: Major
>
> This Jira is to fix listBucket API in HA code path.
> In HA, we have an in-memory cache, where we put the result to in-memory cache 
> and return the response, later it will be picked by double buffer thread and 
> it will flush to disk. So, now when do listParts of a MPU key, it should use 
> both in-memory cache and rocksdb mpu table to list parts of a mpu key.



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