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Update notes for 2018-05-15
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@ -175,6 +175,7 @@ $ lein run /tmp/crps.csv id
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## 2018-05-14
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- Send a message to the OpenRefine mailing list about the bug with reconciling multi-value cells
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- Help Silvia Alonso get a list of all her publications since 2013 from Listings and Reports
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## 2018-05-15
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@ -200,3 +201,52 @@ return "blank"
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- More information and good examples here: https://programminghistorian.org/lessons/fetch-and-parse-data-with-openrefine
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- Finish looking at the 2,640 CIFOR records on DSpace Test ([10568/92904](https://dspacetest.cgiar.org/handle/10568/92904)), cleaning up authors and adding collection mappings
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- They can now be moved to CGSpace as far as I'm concerned, but I don't know if Sisay will do it or me
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- I was checking the CIFOR data for duplicates using Atmire's Metadata Quality Module (and found some duplicates actually), but then DSpace died...
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- I didn't see anything in the Tomcat, DSpace, or Solr logs, but I saw this in `dmest -T`:
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```
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[Tue May 15 12:10:01 2018] Out of memory: Kill process 3763 (java) score 706 or sacrifice child
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[Tue May 15 12:10:01 2018] Killed process 3763 (java) total-vm:14667688kB, anon-rss:5705268kB, file-rss:0kB, shmem-rss:0kB
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[Tue May 15 12:10:01 2018] oom_reaper: reaped process 3763 (java), now anon-rss:0kB, file-rss:0kB, shmem-rss:0kB
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```
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- So the Linux kernel killed Java...
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- Maria from Bioversity mailed to say she got an error while submitting an item on CGSpace:
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```
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Unable to load Submission Information, since WorkspaceID (ID:S96060) is not a valid in-process submission
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```
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- Looking in the DSpace log I see something related:
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```
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2018-05-15 12:35:30,858 INFO org.dspace.submit.step.CompleteStep @ m.garruccio@cgiar.org:session_id=8AC4499945F38B45EF7A1226E3042DAE:submission_complete:Completed submission with id=96060
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```
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- So I'm not sure...
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- I finally figured out how to get OpenRefine to reconcile values from Solr via [conciliator](https://github.com/codeforkjeff/conciliator):
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- The trick was to use a more appropriate Solr fieldType `text_en` instead of `text_general` so that more terms match, for example uppercase and lower case:
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```
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$ ./bin/solr start
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$ ./bin/solr create_core -c countries
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$ ./bin/post -c countries ~/src/git/DSpace/2018-05-10-countries.csv
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$ curl -X POST -H 'Content-type:application/json' --data-binary '{"add-field": {"name":"country", "type":"text_en", "multiValued":false, "stored":true}}' http://localhost:8983/solr/countries/schema
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```
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- It still doesn't catch simple mistakes like "ALBANI" or "AL BANIA" for "ALBANIA", and it doesn't return scores, so I have to select matches manually:
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- I should probably make a general copy field and set it to be the default search field, like DSpace's search core does (see schema.xml):
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```
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<defaultSearchField>search_text</defaultSearchField>
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...
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<copyField source="*" dest="search_text"/>
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```
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- Actually, I wonder how much of their schema I could just copy...
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- Apparently the default search field is the `df` parameter and you could technically just add it to the query string, so no need to bother with that in the schema now
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- I copied over the DSpace `search_text` field type from the DSpace Solr config (had to remove some properties so Solr would start) but it doesn't seem to be any better at matching than the `text_en` type
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- I think I need to focus on trying to return scores with conciliator
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