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This repository has been archived by the owner on Mar 20, 2023. It is now read-only.
This is due to the large size of the database (23M records). We need a better way to do the string matching, or do it in the database, when the string does not have a country and/or year to filter the options.
As an alternative, we can do the matching in chunks of data, but it will be slow.
The text was updated successfully, but these errors were encountered:
I wish. It is using approximate string matching using the R package stringdist (e.g. this line). If the string doesn't have the country where the item was collected, it can't select a subset of the whole database, so it gets 23 million rows and then run the approximate match, which takes about 3 minutes, and the user gets bored.
Another option is to run it as a batch and return the results at a later time/date. But that can wait.
This is due to the large size of the database (23M records). We need a better way to do the string matching, or do it in the database, when the string does not have a country and/or year to filter the options.
As an alternative, we can do the matching in chunks of data, but it will be slow.
The text was updated successfully, but these errors were encountered: