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From "ramkrishna.s.vasudevan (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HBASE-11039) [VisibilityController] Integration test for labeled data set mixing and filtered excise
Date Thu, 10 Jul 2014 18:10:06 GMT

     [ https://issues.apache.org/jira/browse/HBASE-11039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

ramkrishna.s.vasudevan updated HBASE-11039:
-------------------------------------------

    Attachment: HBASE-11039_v3_0.98.patch

Attaching a patch which would help to pass the user as a param using -u as the arg followed
by user name.
This would work in a cluster that has both ACL CP and VC together.
Still mvn verify part is not solved due to the issue already mentioned. Using the IntegrationTestsDriver

{code}
./hbase org.apache.hadoop.hbase.IntegrationTestsDriver -r .*IntegrationTestBigLinkedListWithVisibility.*
{code}
and 
{code}
./hbase org.apache.hadoop.hbase.test.IntegrationTestBigLinkedListWithVisibility -u user3 
Loop 1 1 20000 /tmp 1 10000
{code}
This IT would work. If both VC and ACL are not configured in the site.xml then we may get
errors as ACL table would not be available. 

> [VisibilityController] Integration test for labeled data set mixing and filtered excise
> ---------------------------------------------------------------------------------------
>
>                 Key: HBASE-11039
>                 URL: https://issues.apache.org/jira/browse/HBASE-11039
>             Project: HBase
>          Issue Type: Test
>    Affects Versions: 0.98.1
>            Reporter: Andrew Purtell
>            Assignee: ramkrishna.s.vasudevan
>            Priority: Critical
>             Fix For: 0.99.0, 1.0.0, 0.98.4
>
>         Attachments: HBASE-11039_ITBLL_v1.patch, HBASE-11039_v3_0.98.patch
>
>
> Create an integration test for the VisibilityController that:
> 1. Create several tables of test data
> 2. Assign a set of auths to each table. Label all entries in the table with appropriate
visibility expressions. Insure that some data in every table overlaps with data in other tables
at common row/family/qualifier coordinates. Generate data like ITBLL so we can verify all
data present later.
> 3. Mix the data from the different tables into a new common table
> 4. Verify for each set of auths defined in step #2 that all entries found in the source
table can be found in the common table. Like the ITBLL verification step but done N times
for each set of auths defined in step #2.
> 5. Choose one of the source tables. Get its set of auths. Perform a deletion with visibility
expression from the common table using those auths.
> 6. Verify that no data in the common table with the auth set chosen in #5 remains. A
simple row count with the set of auths chosen in #5 that should return 0.



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