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Using Apache Solr with Go: A Complete Guide

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2023-06-17 13:05:181147browse

With the development of the Internet, we are faced with more and more data. Not only that, we also need to mine useful information from this data. In this context, search engines are becoming more and more important because they can find the information we need through efficient and accurate search algorithms.

Apache Solr is a search platform built on Lucene. It provides a wealth of features, including full-text search, word segmentation, filtering, sorting, statistics, highlighting, automatic completion, etc. Unlike other search engines, Solr provides programmable search routes, and users can extend the platform through plug-ins and custom queries.

In this article, we will introduce how to use Apache Solr in Go language, from connection to query to result analysis, and comprehensively analyze the use of Solr.

  1. Connecting to Solr server

First, we need to connect to Solr server using Go language. You can use the third-party library github.com/rtt/Go-Solr, which provides methods to interact with the Solr server.

Install the library: go get -u github.com/rtt/Go-Solr

import (
    "github.com/rtt/Go-Solr"
)

solr, err := solr.Init("http://localhost:8983/solr/core")
if err != nil {
    log.Fatalln(err)
}

We need to provide the address of the Solr server, in this example, the address It's http://localhost:8983/solr/core. If the connection fails successfully, the library will return an error object.

  1. Add Documents

Next, we need to add our data to the Solr index. In Solr, documents are composed of fields, and each field has a name and a value.

doc := solr.Document{}
doc.Add("id", "1")
doc.Add("title", "Solr Basics")
doc.Add("author", "John Doe")
doc.Add("text", "Solr is a search platform built on top of Lucene.")
response, err := solr.Add(&doc)
if err != nil {
    log.Fatalln(err)
}

In this example, we added a document to the index named "solr", containing four fields: "id", "title", "author" and "text". The first field is required and must be unique.

  1. Query data

Now we have added the data to Solr. Next, we need to be able to query the data. We can use the solr.Search method, which receives a query string.

query := solr.NewQuery()
query.AddParam("q", "text:search")
query.AddParam("fl", "id,title")
response, err := solr.Search(query)
if err != nil {
    log.Fatalln(err)
}

In this example, the query string is "text:search", which means that we want to query documents that contain the word "search" in the "text" field. Additionally, we want to return the "id" and "title" fields, so we specify a list of fields.

  1. Parse the response

We have been able to query the data from Solr, and then we need to parse the response to get the information we need.

type Document struct {
    Id    string `json:"id"`
    Title string `json:"title"`
}

type Response struct {
    NumFound int       `json:"numFound"`
    Start    int       `json:"start"`
    Docs     []Document `json:"docs"`
}

var r Response
err = response.GetJson(&r)
if err != nil {
    log.Fatalln(err)
}

for _, doc := range r.Docs {
    fmt.Printf("ID: %s, Title: %s
", doc.Id, doc.Title)
}

In this example, we create a type named "Document", which contains two fields: id and title. We then create a type called "Response" that contains the information containing the search results. We call the GetJson method to convert the response data into a Response object. Finally, we loop through the Response's document list and print the id and title fields of each document.

  1. Conclusion

Now, we have successfully used Apache Solr in Go language. We showed how to connect to a Solr server, add documents, query data, and parse responses. Although this article only shows some of the functions of Solr, it is enough for us to understand the basic use of Solr. Next, you can continue to explore Solr's features and expand search capabilities.

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