What methods or tools have you implemented for full-text search in a project?

For implementing full-text search in Go projects, the following methods and tools are usually used:

• Built-in libraries and packages:

  • bleve — a popular library for full-text search in Go, supporting indexing, ranked search, and filtering.
  • go-elasticsearch — a client for interacting with Elasticsearch, if an external search engine is used.

• External search engines:

  • Elasticsearch — a powerful distributed search engine, often used with Go via REST API or client libraries.
  • Meilisearch — a lightweight and fast search engine with a simple API.

• Example of using Bleve:

import (
    "github.com/blevesearch/bleve"
    "log"
)

func main() {
    indexMapping := bleve.NewIndexMapping()
    index, err := bleve.New("example.bleve", indexMapping)
    if err != nil {
        log.Fatal(err)
    }

    data := struct {
        ID   string
        Body string
    }{ID: "1", Body: "Sample text for search"}

    index.Index(data.ID, data)

    query := bleve.NewMatchQuery("search")
    searchRequest := bleve.NewSearchRequest(query)
    searchResult, err := index.Search(searchRequest)
    if err != nil {
        log.Fatal(err)
    }

    log.Println(searchResult)
}

Thus, the choice of tool depends on the project requirements: simplicity and embedability (bleve) or scalability and functionality (Elasticsearch).