![]() ![]() The suggest search component is configured with parameters for the name, and implementation type of the suggester, the field to be analyzed, the analyzer used. This configuration is based on Solr’s “techproducts” example, based on the Suggester configuration docs in the Solr Reference Guide. Next I edit the solrConfig.xml file to add in definition for the suggester search component and corresponding request handler: To do this, I copy in the field definition from the very end of the “Solr Suggester” blogpost: Īfter clicking the “Save” button, the Fusion UI displays the notification message: “File contents saved and collection reloaded.” I need to define a field type and specify how the contents of this field will be analyzed when creating the FSTs used by the suggester component. Clicking on the “Solr Config” option shows the set of available configuration files for collection “movies”:Ĭlicking on file schema.xml opens an edit window. These are available from the “Configuration” section on the collection “Home” panel, seen on the left-hand side column in the above screenshot. The Fusion UI provides tools for editing Solr configuration files. define a request handler for auto-complete in file solrConfig.xmlįusion sends search requests to Solr via the Fusion query pipeline Solr query stage, therefore it’s also necessary to configure a Solr query stage to access the newly configured suggest request handler.define a field with the correct analyzer in file schema.xml.To add a Lucene/Solr suggester to the “movies” collection requires editing the Solr config files according to the procedure outlined in the “Solr Suggester” blogpost: Instead of using the default Solr “select” handler to do the search, we can plug in an FST suggester, which will give us not just auto-complete, but fuzzy autocomplete, through the magic of FSTs.įusion collections are Solr collections which are managed by Fusion. In the above example, the second best-match isn’t a match at all in an auto-complete scenario. If you’re trying to add auto-complete to a search box, the results should complete the initial query. Although all of the movie titles contain the words “Star Wars”, they don’t all begin with it. The search results panel shows the results for the search query “Star Wars”, sorted by relevancy (i.e. ![]() The following screenshot shows the result of a search on the term “Star Wars”. The data in this example is derived from data collected by the Movie Tweetings project between 20. Solr’s suggesters return the entire field for a match, making it possible to suggest whole titles or phrases based on just the first few letters. The underlying mechanics of an FST allow for near-matches on the input, which means that auto-suggest will work even when the inputs contain typos or misspellings. FST stands for “Finite-State Transducer”. ![]() This is easy to do using Solr’s FST-based suggesters. This post shows how to add a Solr suggester component to a Fusion query pipeline in order to provide the kind of auto-complete functionality expected from a modern search app.īy auto-complete we mean the familiar set of drop-downs under a search box which suggest likely words or phrases as you type. With this we can customize our autocomplete search result.The Solr suggester search component was previously discussed on this blog in the post Solr Suggester by Solr committer Erick Erickson. We will integrate the apache solr with our drupal site and make autocomplete search.įor this, we need to query the apache solr and then get the results from the apache finally displaying it in autocomplete. This is to avoid the issue of users getting frustrated by inaccurate or badly-ranked results and as a result moving on to a different site.Ī good starting point is to introduce a ‘suggest’(Autocomplete) function, which lists a drop-down menu of various search queries containing the text fragment they have typed. Since it is likely to be their first point of contact with the website, retailers must ensure that they get it right the first time. In many cases, users visiting a site already know what they are looking for, hence they head straight to the search box. ![]()
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