5/19/2023 0 Comments Suggester for macHowever, performance of a term query against the suggestion index in a well-tuned environment is usually sufficient for almost all cases. Performance - Lookups against in-memory FST work incredibly fast, offering several FST-based implementations to compare so that you can then choose the one with the best outcome for a particular case.SuggestComponent does offer some pre-prepared features, but if you need full control or you have complex requirements, then you will often find it’s not enough for your needs. Functionality - SuggestComponent doesn’t tabulate some features that aren't (relatively) easily covered when using an “index + query” approach, whether it be for a complex weights calculation, stop words removal, or basic context filtration.Based on our experience, here are our recommendations for exploring your best options: Ultimately, the final choice is up to you, but we believe that experimenting with your data and environments can be highly beneficial. It can be a separate handler or common handler to receive documents, facets, and suggestions in the same request. SuggestComponent needs to be added into the handler’s components chain to serve requests. Several suggesters can be chained inside one component to take suggestions from two fields, or from a field and a file. TSTLookup - stores suggestions into the Ternary Search Tree.FSTCompletionLookup, WFSTCompletionLookup - this follows a similar process to loading suggestions into FST, but provides alternate implementation options.For example, it is not possible to boost suggestions without spell corrections over suggestions with spell corrections. However, it can have drawbacks if not used correctly. It works like a suggestions tool with built-in spell correction. FuzzySuggester - is an AnalyzingSuggester with a fuzzy match.In this case, it loads data into a separate internal index, and transforms the user’s input into a term query. However, under the hood, it applies the EdgeNGramTokenFilter filter to suggestions to give multiterm unordered suggestions. AnalyzingInfixSuggester - also includes an analysis feature.Use this type as the SuggestAnalyzerFieldType value.Create a field type with a SuffixSingleTokenFilter in an index chain and put it into schema.xml.For example, if your desired outcome is multiterm ordered suggestions, then try to: You can additionally remove stop words, apply stemming, and address several other requirements. It can also be used to apply analysis to suggestions and user input (SuggestAnalyzerFieldType parameter), which is a powerful feature. AnalyzingSuggester - holds suggestions in FST (in-memory data structure) and allows prefix matches ( single term suggestions as described in our previous post). Lookup implementation is varied and the following features can be compared: Data can then be loaded from a source into a lookup-ready data structure automatically upon startup/reload (buildOnStartup parameter). A collection of weighted suggestions can be taken from the index, or from an alternate data source such as a file stored on a disk. To make this component work, two things need to be configured in the search engine’s config: the data source for suggestions (dictionaryImpl parameter), and how these suggestions are stored and searched in query-time (lookupImpl parameter). Suggester is a search component, which is a building block of Solr’s search pipeline. So, let’s take a more detailed look at Solr suggester and how it can be utilized. The most common questions that we received on that post centered around the need to separate indexes and queries, as well as if there was a built-in dedicated Solr suggester that can manage all aspects of these two tasks. The Solr query is created specifically to find suggestions.Each suggestion is a document within this index.There is a separate Solr index for suggestions.In a previous post, we covered several suggester cases with the following implicit assumptions: It provides users with automatic suggestions for query terms, and can be used to implement useful auto-suggest featurest in your search application. The Solr suggester component allows you to vastly improve your search capabilities and experience.
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