- I learned how to use the Levenshtein functions in PostgreSQL
- The thing is that there is a limit of 255 characters for these functions in PostgreSQL so you need to truncate the strings before comparing
- Also, the trgm functions I've used before are case insensitive, but Levenshtein is not, so you need to make sure to lower case both strings first
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- A working query checking for duplicates in the recent AfricaRice items is:
```console
localhost/dspace= ☘ SELECT text_value FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id=64 AND levenshtein_less_equal(LOWER('International Trade and Exotic Pests: The Risks for Biodiversity and African Economies'), LEFT(LOWER(text_value), 255), 3) <= 3;
International trade and exotic pests: the risks for biodiversity and African economies
(1 row)
Time: 399.751 ms
```
- There is a great [blog post discussing Soundex with Levenshtein](https://www.crunchydata.com/blog/fuzzy-name-matching-in-postgresql) and creating indexes to make them faster
- I want to do some proper checks of accuracy and speed against my trigram method
- This seems low, so it must have been from the request patterns by certain visitors
- 64.39.98.251 is Qualys, and I'm debating blocking [all their IPs](https://pci.qualys.com/static/help/merchant/getting_started/check_scanner_ip_addresses.htm) using a geo block in nginx (need to test)
- The top few are known ILRI and other CGIAR scrapers, but 80.248.237.167 is on InternetVikings in Sweden, using a normal user agentand scraping Discover
- 64.124.8.59 is making requests with a normal user agent and belongs to Castle Global or Zayo
- I ran all system updates and rebooted the server (could have just restarted PostgreSQL but I thought I might as well do everything)
- I implemented a geo mapping for the user agent mapping AND the nginx `limit_req_zone` by extracting the networks into an external file and including it in two different geo mapping blocks
- This is clever and relies on the fact that we can use defaults in both cases
- First, we map the user agent of requests from these networks to "bot" so that Tomcat and Solr handle them accordingly
- Second, we use this as a key in a `limit_req_zone`, which relies on a default mapping of '' (and nginx doesn't evaluate empty cache keys)
- I noticed that CIP uploaded a number of Georgian presentations with `dcterms.language` set to English and Other so I changed them to "ka"
- Perhaps we need to update our list of languages to include all instead of the most common ones