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title | date | author | tags | |
---|---|---|---|---|
February, 2018 | 2018-02-01T16:28:54+02:00 | Alan Orth |
|
2018-02-01
- Peter gave feedback on the
dc.rights
proof of concept that I had sent him last week - We don't need to distinguish between internal and external works, so that makes it just a simple list
- Yesterday I figured out how to monitor DSpace sessions using JMX
- I copied the logic in the
jmx_tomcat_dbpools
provided by Ubuntu'smunin-plugins-java
package and used the stuff I discovered about JMX [in 2018-01]({{< relref "2018-01.md" >}})
- Run all system updates and reboot DSpace Test
- Wow, I packaged up the
jmx_dspace_sessions
stuff in the Ansible infrastructure scripts and deployed it on CGSpace and it totally works:
# munin-run jmx_dspace_sessions
v_.value 223
v_jspui.value 1
v_oai.value 0
2018-02-03
- Bram from Atmire responded about the high load caused by the Solr updater script and said it will be fixed with the updates to DSpace 5.8 compatibility: https://tracker.atmire.com/tickets-cgiar-ilri/view-ticket?id=566
- We will close that ticket for now and wait for the 5.8 stuff: https://tracker.atmire.com/tickets-cgiar-ilri/view-ticket?id=560
- I finally took a look at the second round of cleanups Peter had sent me for author affiliations in mid January
- After trimming whitespace and quickly scanning for encoding errors I applied them on CGSpace:
$ ./delete-metadata-values.py -i /tmp/2018-02-03-Affiliations-12-deletions.csv -f cg.contributor.affiliation -m 211 -d dspace -u dspace -p 'fuuu'
$ ./fix-metadata-values.py -i /tmp/2018-02-03-Affiliations-1116-corrections.csv -f cg.contributor.affiliation -t correct -m 211 -d dspace -u dspace -p 'fuuu'
- Then I started a full Discovery reindex:
$ time schedtool -D -e ionice -c2 -n7 nice -n19 [dspace]/bin/dspace index-discovery -b
real 96m39.823s
user 14m10.975s
sys 2m29.088s
- Generate a new list of affiliations for Peter to sort through:
dspace=# \copy (select distinct text_value, count(*) as count from metadatavalue where metadata_field_id = (select metadata_field_id from metadatafieldregistry where element = 'contributor' and qualifier = 'affiliation') AND resource_type_id = 2 group by text_value order by count desc) to /tmp/affiliations.csv with csv;
COPY 3723
- Oh, and it looks like we processed over 3.1 million requests in January, up from 2.9 million in [December]({{< relref "2017-12.md" >}}):
# time zcat --force /var/log/nginx/* | grep -cE "[0-9]{1,2}/Jan/2018"
3126109
real 0m23.839s
user 0m27.225s
sys 0m1.905s