CGSpace Notes

Documenting day-to-day work on the CGSpace repository.

August, 2018

by Alan Orth in  

2018-08-01

  • DSpace Test had crashed at some point yesterday morning and I see the following in dmesg:
[Tue Jul 31 00:00:41 2018] Out of memory: Kill process 1394 (java) score 668 or sacrifice child
[Tue Jul 31 00:00:41 2018] Killed process 1394 (java) total-vm:15601860kB, anon-rss:5355528kB, file-rss:0kB, shmem-rss:0kB
[Tue Jul 31 00:00:41 2018] oom_reaper: reaped process 1394 (java), now anon-rss:0kB, file-rss:0kB, shmem-rss:0kB
  • Judging from the time of the crash it was probably related to the Discovery indexing that starts at midnight
  • From the DSpace log I see that eventually Solr stopped responding, so I guess the java process that was OOM killed above was Tomcat’s
  • I’m not sure why Tomcat didn’t crash with an OutOfMemoryError…
  • Anyways, perhaps I should increase the JVM heap from 5120m to 6144m like we did a few months ago when we tried to run the whole CGSpace Solr core
  • The server only has 8GB of RAM so we’ll eventually need to upgrade to a larger one because we’ll start starving the OS, PostgreSQL, and command line batch processes
  • I ran all system updates on DSpace Test and rebooted it

  • I started looking over the latest round of IITA batch records from Sisay on DSpace Test: IITA July_30
    • incorrect authorship types
    • dozens of inconsistencies, spelling mistakes, and white space in author affiliations
    • minor issues in countries (California is not a country)
    • minor issues in IITA subjects, ISBNs, languages, and AGROVOC subjects

2018-08-02

  • DSpace Test crashed again and I don’t see the only error I see is this in dmesg:
[Thu Aug  2 00:00:12 2018] Out of memory: Kill process 1407 (java) score 787 or sacrifice child
[Thu Aug  2 00:00:12 2018] Killed process 1407 (java) total-vm:18876328kB, anon-rss:6323836kB, file-rss:0kB, shmem-rss:0kB
  • I am still assuming that this is the Tomcat process that is dying, so maybe actually we need to reduce its memory instead of increasing it?
  • The risk we run there is that we’ll start getting OutOfMemory errors from Tomcat
  • So basically we need a new test server with more RAM very soon…
  • Abenet asked about the workflow statistics in the Atmire CUA module again
  • Last year Atmire told me that it’s disabled by default but you can enable it with workflow.stats.enabled = true in the CUA configuration file
  • There was a bug with adding users so they sent a patch, but I didn’t merge it because it was very dirty and I wasn’t sure it actually fixed the problem
  • I just tried to enable the stats again on DSpace Test now that we’re on DSpace 5.8 with updated Atmire modules, but every user I search for shows “No data available”
  • As a test I submitted a new item and I was able to see it in the workflow statistics “data” tab, but not in the graph

2018-08-15

  • Run through Peter’s list of author affiliations from earlier this month
  • I did some quick sanity checks and small cleanups in Open Refine, checking for spaces, weird accents, and encoding errors
  • Finally I did a test run with the fix-metadata-value.py script:
$ ./fix-metadata-values.py -i 2018-08-15-Correct-1083-Affiliations.csv -db dspace -u dspace -p 'fuuu' -f cg.contributor.affiliation -t correct -m 211
$ ./delete-metadata-values.py -i 2018-08-15-Remove-11-Affiliations.csv -db dspace -u dspace -p 'fuuu' -f cg.contributor.affiliation -m 211

2018-08-16

  • Generate a list of the top 1,500 authors on CGSpace for Sisay so he can create the controlled vocabulary:
dspace=# \copy (select distinct text_value, count(*) from metadatavalue where metadata_field_id = (select metadata_field_id from metadatafieldregistry where element = 'contributor' and qualifier = 'author') AND resource_type_id = 2 group by text_value order by count desc limit 1500) to /tmp/2018-08-16-top-1500-authors.csv with csv;
  • Start working on adding the ORCID metadata to a handful of CIAT authors as requested by Elizabeth earlier this month
  • I might need to overhaul the add-orcid-identifiers-csv.py script to be a little more robust about author order and ORCID metadata that might have been altered manually by editors after submission, as this script was written without that consideration