Page History

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Friendly reminders of upcoming meetings, discussions etc

• DSpace 7 Working Group (2016-2023): Next meeting is Thurs, Jan 10 at 15:00 UTC

• DSpace 7 Entities Working Group (2018-19): Next meeting on Tues, Jan 22 at 16:00 UTC

  • Yesterday's meeting notes at 2019-01-08 DSpace 7 Entities WG Meeting
• DSpace Developer Show and Tell Meetings:  On hold until interesting topics arise.

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1. (Ongoing Topic) DSpace 7 Status Updates for this week (from DSpace 7 Working Group (2016-2023))

2. (Ongoing Topic) DSpace 6.x Status Updates for this week

   1. 6.4 will surely happen at some point, but no definitive plan or schedule at this time.  Please continue to help move forward / merge PRs into the dspace-6.x branch, and we can continue to monitor when a 6.4 release makes sense.
3. OR2019 Presentation Planning (EXTENSION: proposals  now due on Jan 16)
   1. See 2019-01-10 DSpace 7 Working Group Meeting agenda for a list of the proposed DSpace workshops/presentations (concentrating on DSpace 7)
4. Upgrading Solr Server for DSpace (Any status updates?)
   
   1. PR https://github.com/DSpace/DSpace/pull/2058
5. DSpace Docker and Cloud Deployment Goals (old) (Terrence W Brady )
   1. Simplify invocation by using multiple fragments, auto load content on startup
      1. https://github.com/DSpace-Labs/DSpace-Docker-Images/pull/68
      2. Summary page: https://github.com/DSpace-Labs/DSpace-Docker-Images/blob/helper_cmds/docker-compose-files/dspace-compose/ComposeFiles.md
   2. Speed up Docker builds
      1. https://github.com/DSpace/DSpace/pull/2307
   3. Add Docker build/push to Travis
      1. This make sense to consider after 2307 is merged
      2. https://github.com/DSpace/DSpace/pull/2308
6. Brainstorms / ideas (Any quick updates to report?)
   
   1. (On Hold, pending Steering/Leadership approval) Follow-up on "DSpace Top GitHub Contributors" site (Tim Donohue ): https://tdonohue.github.io/top-contributors/
   2. Bulk Operations Support Enhancements (from Mark H. Wood)
   3. Curation System Needs (from Mark H. Wood  )
      
      1. PR 2180 improves reporting.  Ready for review.
7. Tickets, Pull Requests or Email threads/discussions requiring more attention? (Please feel free to add any you wish to discuss under this topic)
   1. Quick Win PRs: https://github.com/DSpace/DSpace/pulls?q=is%3Aopen+review%3Aapproved+label%3A%22quick+win%22

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1. Management of database connections for DSpace going forward (7.0 and beyond). What behavior is ideal? Also see notes at DSpace Database Access
   1. In DSpace 5, each "Context" established a new DB connection. Context then committed or aborted the connection after it was done (based on results of that request).  Context could also be shared between methods if a single transaction needed to perform actions across multiple methods.
   2. In DSpace 6, Hibernate manages the DB connection pool.  Each thread grabs a Connection from the pool. This means two Context objects could use the same Connection (if they are in the same thread). In other words, code can no longer assume each new Context() is treated as a new database transaction.
      
      1. Should we be making use of SessionFactory.openSession() for READ-ONLY Contexts (or any change of Context state) to ensure we are creating a new Connection (and not simply modifying the state of an existing one)?  Currently we always use SessionFactory.getCurrentSession() in HibernateDBConnection, which doesn't guarantee a new connection: https://github.com/DSpace/DSpace/blob/dspace-6_x/dspace-api/src/main/java/org/dspace/core/HibernateDBConnection.java
   3. Bulk operations, such as loading batches of items or doing mass updates, have another issue:  transaction size and lifetime.  Operating on 1 000 000 items in a single transaction can cause enormous cache bloat, or even exhaust the heap.
      1. Bulk loading should be broken down by committing a modestly-sized batch and opening a new transaction at frequent intervals.  (A consequence of this design is that the operation must leave enough information to restart it without re-adding work already committed, should the operation fail or be prematurely terminated by the user.  The SAF importer is a good example.)
      2. Mass updates need two different transaction lifetimes:  a query which generates the list of objects on which to operate, which lasts throughout the update; and the update queries, which should be committed frequently as above.  This requires two transactions, so that the updates can be committed without ending the long-running query that tells us what to update.

Ticket Summaries

1. Help us test / code review! These are tickets needing code review/testing and flagged for a future release (ordered by release & priority)

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   Jira server DuraSpace JIRA columns key,summary,type,created,updated,assignee,reporter,priority,status,fixversions maximumIssues 20 jqlQuery filter=13905 ORDER BY fixVersion DESC, priority DESC serverId c815ca92-fd23-34c2-8fe3-956808caf8c5

   
   

2. Newly created tickets this week:

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   Jira server DuraSpace JIRA columns key,summary,type,created,assignee,reporter,priority,status maximumIssues 20 jqlQuery filter=13902 serverId c815ca92-fd23-34c2-8fe3-956808caf8c5

   
   

3. Old, unresolved tickets with activity this week:

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   Jira server DuraSpace JIRA columns key,summary,type,created,updated,assignee,reporter,priority,status maximumIssues 20 jqlQuery filter=13906 serverId c815ca92-fd23-34c2-8fe3-956808caf8c5

   
   

4. Tickets resolved this week:

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   Jira server DuraSpace JIRA columns key,summary,type,created,assignee,reporter,priority,status,resolution maximumIssues 20 jqlQuery filter=13903 serverId c815ca92-fd23-34c2-8fe3-956808caf8c5

   
   

5. Tickets requiring review. This is the JIRA Backlog of "Received" tickets: 

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   Jira server DuraSpace JIRA columns key,summary,type,created,updated,assignee,reporter,priority maximumIssues 20 jqlQuery filter=10152 serverId c815ca92-fd23-34c2-8fe3-956808caf8c5

   
   

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