To implement full-text search indexing with stemming and tokenization in Go, you can use the "bleve" library. Here is a step-by-step guide on how to do it:
Install the "bleve" library by running the following command:
go get github.com/blevesearch/bleve
Create a new Go file and import the necessary packages:
import (
"github.com/blevesearch/bleve"
"github.com/blevesearch/bleve/analysis/analyzers/custom/analyzerstemmer"
)
Define a struct that represents your data structure:
type Document struct {
ID string
Text string
}
Initialize the index and define the mapping for the field you want to search on (in this example, the "Text" field):
mapping := bleve.NewIndexMapping()
analyzer := analyzerstemmer.New("english")
textFieldMapping := bleve.NewTextFieldMapping()
textFieldMapping.Analyzer = analyzer
mapping.AddCustomMapping(textFieldMapping, "Text")
index, _ := bleve.NewMemOnly(mapping)
Index your documents:
doc1 := Document{ID: "1", Text: "The quick brown fox jumped over the lazy dog"}
doc2 := Document{ID: "2", Text: "I have a cat named Whiskers"}
index.Index(doc1.ID, doc1)
index.Index(doc2.ID, doc2)
Perform a full-text search on your indexed documents:
query := bleve.NewQueryStringQuery("fox")
searchRequest := bleve.NewSearchRequest(query)
searchResult, _ := index.Search(searchRequest)
for _, hit := range searchResult.Hits {
fmt.Println(hit.ID, hit.Score)
}
This will output the ID and score of the documents that match the search query.
That's it! You have now implemented full-text search indexing with stemming and tokenization using the "bleve" library in Go.