02278c6073
* improves ux for url only searches * updates with sn nym * add back original implementation when query has more than url: filter * eliminates use of wildcards * adds docs for testing search in a way that more closely resembles prod * fixes lint issues --------- Co-authored-by: utanapishtim <utnapishtim.utanapishtim@gmail.com>
1001 B
1001 B
Testing Search
You may want to create an index that more closely resembles prod for testing search. The simplest way is to create an index that applies an english analyzer on title and text fields.
Create a new index in OpenSearch
curl
\ -H "Content-Type: application/json"
\ -X PUT
\ -d '{"mappings":{"properties":{"text":{"type":"text","analyzer":"english","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"title":{"type":"text","analyzer":"english","fields":{"keyword":{"type":"keyword","ignore_above":256}}}}}}'
\ "http://localhost:9200/english"
\ -ku admin:admin
Reindex your documents into the english index
curl
\ -H "Content-Type: application/json"
\ -X POST
\ -d '{"source":{"index":"item"},"dest":{"index":"english"}}'
\ "http://localhost:9200/_reindex?wait_for_completion=false"
\ -ku admin:admin
Update .env.sample
Search for OPENSEARCH_INDEX=item and replace it with OPENSEARCH_INDEX=english