Today's Meeting Times
Friendly reminders of upcoming meetings, discussions etc
- DSpace 7 Working Group: Next meeting is Thurs, Jan 10 at 15:00 UTC
DSpace 7 Entities Working Group: 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.
If you have a topic you'd like to have added to the agenda, please just add it.
(Ongoing Topic) DSpace 6.x Status Updates for this week
- 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.
- OR2019 Presentation Planning (EXTENSION: proposals now due on Jan 16)
- See 2019-01-10 DSpace 7 Working Group Meeting agenda for a list of the proposed DSpace workshops/presentations (concentrating on DSpace 7)
- Upgrading Solr Server for DSpace (Any status updates?)
- DSpace Docker and Cloud Deployment Goals (Terry Brady )
- Simplify invocation by using multiple fragments, auto load content on startup
- Speed up Docker builds
- Add Docker build/push to Travis
- This make sense to consider after 2307 is merged
- Brainstorms / ideas (Any quick updates to report?)
- (On Hold, pending Steering/Leadership approval) Follow-up on "DSpace Top GitHub Contributors" site (Tim Donohue ): https://tdonohue.github.io/top-contributors/
- Bulk Operations Support Enhancements (from Mark H. Wood)
- Curation System Needs (from Mark H. Wood )
- PR 2180 improves reporting. Ready for review.
- Tickets, Pull Requests or Email threads/discussions requiring more attention? (Please feel free to add any you wish to discuss under this topic)
These topics are ones we've touched on in the past and likely need to revisit (with other interested parties). If a topic below is of interest to you, say something and we'll promote it to an agenda topic!
- Management of database connections for DSpace going forward (7.0 and beyond). What behavior is ideal? Also see notes at DSpace Database Access
- 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.
- 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.
- 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
- Should we be making use of
- 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.
- 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.)
- 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.
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