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Orderby accepts $post variable attributes and order can be asc (ascending) or desc (descending)

The most relevant attributes here are most likely post_date and comment_count. How is it possible to sort data from multiple tables by relevance I have 3 tables in my database, one table contains the name of solar systems, the second for e.g There is one more table, witch is a connection between solar systems and planets.

You can choose to sort the results by any field value in either ascending or descending order by setting the order parameter to asc or desc. You can have typesense mix your custom scores with the text relevance score it calculates, so results that are more popular (as defined by your custom score) are boosted more in ranking. Understand how scoring works, when to sort manually, and how to debug relevance issues. By default, results are returned sorted by relevance —with the most relevant docs first

Later in this chapter, we explain what we mean by relevance and how it is calculated, but let’s start by looking at the sort parameter and how to use it.

In 3.5.0+ for postgresql and 3.8.0+ for mysql, you can sort records by relevance to the query using the _relevance keyword This uses the relevance ranking functions from full text search features. How does this sort by relevance work, or what is the logic behind its algorithm We have created two different agreements for the same item, and when we are searching for it on the shopping page, it always shows the item in the same sequence as shown in the below screenshot.

By default relevanssi sorts posts in the descending order of relevance One way to modify the ordering is to use these filter hooks The relevanssi_orderby hook can be used to set both orderby and order by using the array format This is also the only method to use multiple orderings:

To know how exactly the text is matched, you need the fuzzystrmatch postgresql module

It provides functions as difference and levenshtein that will give you an estimation of the similarity between two strings Then, you can build your query with some conditions like:

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