Saturday, April 29, 2023

why is schema.xml automatically renamed to managed-schema.xml in solr 9.2.0 ?

 Starting from Solr 7.0, the default schema file name was changed from "schema.xml" to "managed-schema", and this change was made for a few reasons.

Firstly, the name "schema.xml" implies that the schema file is a static configuration file that can only be updated by manually editing the file, which is not the case with the new schema management system. In Solr 7.0 and later versions, the schema can be updated dynamically using the Schema API or the Solr Admin UI.

Secondly, the new schema management system in Solr is designed to support multiple schema files, and the "managed-schema" name reflects the fact that Solr now manages the schema file rather than the user manually managing it.

Lastly, the "managed-schema" name also makes it clear that the schema is under Solr's control and should not be modified directly by the user.

Therefore, in Solr 9.2.0, the default schema file name is "managed-schema.xml" to reflect the new schema management system and to avoid any confusion with the older static schema configuration file.

Wednesday, April 5, 2023

Solr faceted search client and react component

 Solr is a popular open source search platform used to build search applications. One of the key features of Solr is faceted search, which allows users to refine search results by selecting various facets, such as categories, tags, or dates. There are several Solr faceted search clients and React components available that can be used to build search interfaces.

One popular Solr faceted search client is the SolrJS library, which provides a JavaScript API for querying Solr and handling faceted search results. SolrJS can be used in both client-side and server-side applications and supports various Solr query parameters and response formats.

Another popular Solr faceted search client is the React-Solr package, which provides a set of React components for building search interfaces using Solr. React-Solr includes components for search input, search results, and faceted search filters, and supports custom styling and customization.

To use Solr faceted search with React, you can first create a Solr instance and index your data using Solr's indexing tools. Then, you can use a Solr faceted search client or React component to build a search interface that sends queries to Solr and displays the results using React components. You can also customize the search interface to add features such as autocomplete, typeahead, and highlighting.

Here is an example of using React-Solr to build a faceted search interface:

import React from 'react'; import { SolrClient, useSolr } from 'react-solr'; const solr = new SolrClient({ url: 'http://localhost:8983/solr', collection: 'mycollection', }); function SearchBar() { const { value, onChange, onSubmit } = useSolr(); return ( <form onSubmit={onSubmit}> <input type="text" value={value} onChange={onChange} /> <button type="submit">Search</button> </form> ); } function SearchResults() { const { data, error, isLoading } = useSolr({ query: '*:*', params: { facet: true, 'facet.field': ['category', 'tags'], 'facet.limit': 10, }, }); if (isLoading) { return <div>Loading...</div>; } if (error) { return <div>Error: {error.message}</div>; } const categories = data.facets.category || []; const tags = data.facets.tags || []; return ( <div> <ul> {data.docs.map((doc) => ( <li key={doc.id}>{doc.title}</li> ))} </ul> <div> <h2>Categories</h2> <ul> {categories.map((category) => ( <li key={category.value}> <a href={category.url}>{category.value}</a> ({category.count}) </li> ))} </ul> <h2>Tags</h2> <ul> {tags.map((tag) => ( <li key={tag.value}> <a href={tag.url}>{tag.value}</a> ({tag.count}) </li> ))} </ul> </div> </div> ); } function App() { return ( <SolrClient solr={solr}> <SearchBar /> <SearchResults /> </SolrClient> ); } export default App;

In this example, we use the SolrClient component from React-Solr to connect to our Solr instance and specify the collection we want to search.