[jira] [Commented] (HADOOP-14450) ADLS Python client inconsistent when used in tandem with AdlFileSystem

2017-06-13 Thread Atul Sikaria (JIRA)

[ 
https://issues.apache.org/jira/browse/HADOOP-14450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16048510#comment-16048510
 ] 

Atul Sikaria commented on HADOOP-14450:
---

The pythin tool with fix is released now. Run this to upgrade the command-line 
python tool:
run pip install azure-datalake-store --upgrade



> ADLS Python client inconsistent when used in tandem with AdlFileSystem
> --
>
> Key: HADOOP-14450
> URL: https://issues.apache.org/jira/browse/HADOOP-14450
> Project: Hadoop Common
>  Issue Type: Bug
>  Components: fs/adl
>Reporter: Sailesh Mukil
>Assignee: Atul Sikaria
>  Labels: infrastructure
>
> Impala uses the AdlFileSystem connector to talk to ADLS. As a part of the 
> Impala tests, we drop tables and verify that the files belonging to that 
> table have been dropped for all filesystems that Impala supports. These tests 
> however, fail with ADLS.
> If I use the Hadoop ADLS connector to delete a file, and then list the parent 
> directory of that file using the above Python client within the second, the 
> client still says that the file is available in ADLS.
> This is the Python client from Microsoft that we're using in our testing:
> https://github.com/Azure/azure-data-lake-store-python
> Their release notes say that it's still a "pre-release preview":
> https://github.com/Azure/azure-data-lake-store-python/releases
> Questions for the ADLS folks:
> Is this a known issue? If so, will it be fixed soon?
> Or is this expected behavior?
> I'm able to deterministically reproduce it in my tests, with Impala on ADLS.



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[jira] [Commented] (HADOOP-14450) ADLS Python client inconsistent when used in tandem with AdlFileSystem

2017-05-24 Thread Atul Sikaria (JIRA)

[ 
https://issues.apache.org/jira/browse/HADOOP-14450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16023309#comment-16023309
 ] 

Atul Sikaria commented on HADOOP-14450:
---

Following up with the developers of the Python SDK. My understanding is that 
this is a bug in the SDK, but following up for more.



> ADLS Python client inconsistent when used in tandem with AdlFileSystem
> --
>
> Key: HADOOP-14450
> URL: https://issues.apache.org/jira/browse/HADOOP-14450
> Project: Hadoop Common
>  Issue Type: Bug
>  Components: fs/adl
>Reporter: Sailesh Mukil
>Assignee: Atul Sikaria
>  Labels: infrastructure
>
> Impala uses the AdlFileSystem connector to talk to ADLS. As a part of the 
> Impala tests, we drop tables and verify that the files belonging to that 
> table have been dropped for all filesystems that Impala supports. These tests 
> however, fail with ADLS.
> If I use the Hadoop ADLS connector to delete a file, and then list the parent 
> directory of that file using the above Python client within the second, the 
> client still says that the file is available in ADLS.
> This is the Python client from Microsoft that we're using in our testing:
> https://github.com/Azure/azure-data-lake-store-python
> Their release notes say that it's still a "pre-release preview":
> https://github.com/Azure/azure-data-lake-store-python/releases
> Questions for the ADLS folks:
> Is this a known issue? If so, will it be fixed soon?
> Or is this expected behavior?
> I'm able to deterministically reproduce it in my tests, with Impala on ADLS.



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[jira] [Commented] (HADOOP-14450) ADLS Python client inconsistent when used in tandem with AdlFileSystem

2017-05-23 Thread Mingliang Liu (JIRA)

[ 
https://issues.apache.org/jira/browse/HADOOP-14450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16021792#comment-16021792
 ] 

Mingliang Liu commented on HADOOP-14450:


I'd suggest a simple unit test to reproduce the bug (if any), or commands in 
FSShell. Ad hoc pythons clients wrapping ADLFileSystem may have it's own bug.

> ADLS Python client inconsistent when used in tandem with AdlFileSystem
> --
>
> Key: HADOOP-14450
> URL: https://issues.apache.org/jira/browse/HADOOP-14450
> Project: Hadoop Common
>  Issue Type: Bug
>  Components: fs/adl
>Reporter: Sailesh Mukil
>Assignee: Atul Sikaria
>  Labels: infrastructure
>
> Impala uses the AdlFileSystem connector to talk to ADLS. As a part of the 
> Impala tests, we drop tables and verify that the files belonging to that 
> table have been dropped for all filesystems that Impala supports. These tests 
> however, fail with ADLS.
> If I use the Hadoop ADLS connector to delete a file, and then list the parent 
> directory of that file using the above Python client within the second, the 
> client still says that the file is available in ADLS.
> This is the Python client from Microsoft that we're using in our testing:
> https://github.com/Azure/azure-data-lake-store-python
> Their release notes say that it's still a "pre-release preview":
> https://github.com/Azure/azure-data-lake-store-python/releases
> Questions for the ADLS folks:
> Is this a known issue? If so, will it be fixed soon?
> Or is this expected behavior?
> I'm able to deterministically reproduce it in my tests, with Impala on ADLS.



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[jira] [Commented] (HADOOP-14450) ADLS Python client inconsistent when used in tandem with AdlFileSystem

2017-05-23 Thread Steve Loughran (JIRA)

[ 
https://issues.apache.org/jira/browse/HADOOP-14450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16021753#comment-16021753
 ] 

Steve Loughran commented on HADOOP-14450:
-

sounds like an impala bug, not Hadoop

> ADLS Python client inconsistent when used in tandem with AdlFileSystem
> --
>
> Key: HADOOP-14450
> URL: https://issues.apache.org/jira/browse/HADOOP-14450
> Project: Hadoop Common
>  Issue Type: Bug
>  Components: fs/adl
>Reporter: Sailesh Mukil
>Assignee: Atul Sikaria
>  Labels: infrastructure
>
> Impala uses the AdlFileSystem connector to talk to ADLS. As a part of the 
> Impala tests, we drop tables and verify that the files belonging to that 
> table have been dropped for all filesystems that Impala supports. These tests 
> however, fail with ADLS.
> If I use the Hadoop ADLS connector to delete a file, and then list the parent 
> directory of that file using the above Python client within the second, the 
> client still says that the file is available in ADLS.
> This is the Python client from Microsoft that we're using in our testing:
> https://github.com/Azure/azure-data-lake-store-python
> Their release notes say that it's still a "pre-release preview":
> https://github.com/Azure/azure-data-lake-store-python/releases
> Questions for the ADLS folks:
> Is this a known issue? If so, will it be fixed soon?
> Or is this expected behavior?
> I'm able to deterministically reproduce it in my tests, with Impala on ADLS.



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[jira] [Commented] (HADOOP-14450) ADLS Python client inconsistent when used in tandem with AdlFileSystem

2017-05-23 Thread John Zhuge (JIRA)

[ 
https://issues.apache.org/jira/browse/HADOOP-14450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16021720#comment-16021720
 ] 

John Zhuge commented on HADOOP-14450:
-

[~ASikaria], could you please take a look?

> ADLS Python client inconsistent when used in tandem with AdlFileSystem
> --
>
> Key: HADOOP-14450
> URL: https://issues.apache.org/jira/browse/HADOOP-14450
> Project: Hadoop Common
>  Issue Type: Bug
>  Components: fs/adl
>Reporter: Sailesh Mukil
>Assignee: Atul Sikaria
>  Labels: infrastructure
>
> Impala uses the AdlFileSystem connector to talk to ADLS. As a part of the 
> Impala tests, we drop tables and verify that the files belonging to that 
> table have been dropped for all filesystems that Impala supports. These tests 
> however, fail with ADLS.
> If I use the Hadoop ADLS connector to delete a file, and then list the parent 
> directory of that file using the above Python client within the second, the 
> client still says that the file is available in ADLS.
> This is the Python client from Microsoft that we're using in our testing:
> https://github.com/Azure/azure-data-lake-store-python
> Their release notes say that it's still a "pre-release preview":
> https://github.com/Azure/azure-data-lake-store-python/releases
> Questions for the ADLS folks:
> Is this a known issue? If so, will it be fixed soon?
> Or is this expected behavior?
> I'm able to deterministically reproduce it in my tests, with Impala on ADLS.



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