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Data Set Locations

Data sets which are to be migrated into the Rice Database are stored in the following Subversion repositories:

Data Set Management Requirements

  1. Release versions of data sets must be stored in <Repository Root/tags/<client release version> (e.g. https://svn.ucdavis.edu/svn/kuali/RiceApplications/MyInfoVault/tags/3.5)
  2. Only the Rice DBA and appropriate client application migrators have access to the tags directory in the repositories.
  3. The data sets must come in the form of SQL scripts.
    Example:DataSet1.sql
    INSERT INTO KRIM_COUNTRY_T...
    INSERT INTO KRIM_CAMPUS_T...
    
    Example:DataSetDriver.sql
    @DataSet1.sql
    @DataSet2.sql
    

Data Set Migration Process

  1. A migrator files a ticket in the Kuali Rice JIRA project requesting migration of a data set to the Rice database.
  2. Upon approval, the migrator copies the data set to the <Repository Root/tags/<client release version> directory, citing the Kuali Rice JIRA ticket.
    Example:Migrating to <tags>
    svn copy https://svn.ucdavis.edu/svn/kuali/RiceApplications/KualiCoeus/trunk/datasets https://svn.ucdavis.edu/svn/kuali/RiceApplications/KualiCoeus/tags/2.0 -m "<KR JIRA ticket>"
    
  3. Prior to a release, the migrator adds a task (or requests that a task be added) in the Deployment Plan stating that the data set is to be migrated.
  4. The Rice Service Manager creates a ticket in the Kuali Rice JIRA project that reflects this task and assigns it to the Rice DBA.
  5. The Rice DBA checks the data set out from the repository.
    Example:Checking Out Data Set from Repository
    $ svn co https://svn.ucdavis.edu/svn/kuali/RiceApplications/KualiCoeus/trunk/datasets https://svn.ucdavis.edu/svn/kuali/RiceApplications/KualiCoeus/tags/2.0
    
    or 
    
    [subversionFiles/dataSets/KualiCoeus/]$ svn update
    
  6. During a dry-run deployment, the Rice DBA executes the data set scripts against the UPSTAGE environment database.
  7. At deployment time, the Rice DBA executes the data set scripts against the production database.
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