github IQSS/dataverse v4.8.1

latest releases: v6.2, v6.1, v6.0...
6 years ago

Overview:

This release improves performance for the dataset page, especially those with many files. It also includes a usability improvement to the verify email link.

For help with upgrading, installing, or general questions please email support@dataverse.org.

Installation:

If this is a new installation, please see our Installation Guide.

Upgrade:

If you are upgrading from v4.x, you must upgrade to each intermediate version before installing this version. When upgrading from the previous version, you will need to do the following:

  1. Undeploy the previous version.
    • /glassfish4/bin/asadmin list-applications
    • /glassfish4/bin/asadmin undeploy dataverse
  2. Stop glassfish and remove the generated directory, start
    • service glassfish stop
    • remove the generated directory: rm -rf /usr/local/glassfish4/glassfish/domains/domain1/generated
    • service glassfish start
  3. Deploy this version.
    • /glassfish4/bin/asadmin deploy dataverse-4.8.1.war

If you are upgrading from v3.x, you will need to perform a migration to v4.x since our application was redesigned and the database schema are completely different. This is a significant undertaking. Please contact us (support at dataverse.org) before beginning. Also refer to our migration google group for additional support and information: https://groups.google.com/forum/#!forum/dataverse-migration-wg

IMPORTANT: If you are running TwoRavens with your dataverse:
Make sure the two applications are using the same version of the "pre-processed statistics" R code. Compare the 2 files:
On the TwoRavens side:
.../dataexplore/rook/preprocess/preprocess.R
On the Dataverse side:
.../applications/dataverse-4.8.1/WEB-INF/classes/edu/harvard/iq/dataverse/rserve/scripts/preprocess.R

If they are different, replace the Dataverse copy with the TwoRavens copy (i.e., the TwoRavens version wins!).
And, also, remove all the already-generated pre-processed fragments in your Dataverse file directory, for example:

cd [files directory]
rm -f `find . -name '*.prep'`

If the two copies are the same, you don't need to do any of this.
Please note that this is a temporary measure, we are working on a fix that will make the two applications resolve code version conflicts like this automatically.

Don't miss a new dataverse release

NewReleases is sending notifications on new releases.