Wildcard-like syntax in an eloquent Where clause?

Stefan Bogdanescu

Founder & Senior Architect · 2026-06-29

Laravel Company

Wildcard-like Syntax in an Eloquent where Clause: Mastering Multi-Value Matching

As developers working with relational databases through frameworks like Laravel, we constantly seek ways to express complex filtering logic concisely. The scenario you've presented—needing a way to match a column against multiple possible values (similar to using a wildcard)—is extremely common when dealing with dynamic data types or categories.

When dealing with Eloquent and database queries, the concept of a "wildcard" needs careful translation into the appropriate SQL mechanism. Simply trying to use a standard string wildcard like % within an equality check (=) won't work as intended for matching multiple distinct values. Instead, we need to leverage specific query builder methods designed for this exact purpose.

This post will dive into how to achieve wildcard-like functionality in your where clauses using the most idiomatic and efficient Laravel practices.


The Problem with Simple Wildcards

Let's look at your initial requirement: you have a query like this:

->where( 'post_type', '=', 'blog' )

If you want this condition to match post_type values of 'blog', 'news', or 'tutorial', manually writing multiple OR conditions becomes cumbersome and error-prone. Trying to force a wildcard (e.g., using LIKE '%blog%') is typically reserved for partial string matching, not for exact category matching across a set of options.

The Solution: Using whereIn() for Multi-Value Matching

The correct, most readable, and database-efficient way to check if a column's value exists within a specified list of values is by using the whereIn() method on your Eloquent query builder. This translates directly into the SQL IN operator, which is highly optimized by the database engine.

If you want to match any post where post_type is either 'blog', 'news', or 'tutorial', you should structure your query like this:

$allowedPostTypes = ['blog', 'news', 'tutorial'];

$posts = Post::whereIn('post_type', $allowedPostTypes)
              ->where('status', '=', 'published')
              // ... other conditions
              ->count();

Why whereIn() is Superior to Wildcards

  1. Clarity and Intent: whereIn clearly communicates the intent: "match these exact values." This makes your code self-documenting, which is crucial for maintainability, especially when working on large applications powered by Laravel.
  2. Performance: The database handles the IN clause extremely efficiently. It performs a single check against a set of known values, avoiding complex string pattern matching that can be less optimized, especially with large tables.
  3. Correctness: It ensures you are performing an exact match against the list provided, rather than a fuzzy substring search which LIKE would perform (e.g., searching for 'blog' might accidentally match 'blog_archive').

Advanced Scenario: Partial Matching with LIKE

If your actual requirement was to implement true wildcard-like partial matching—for instance, finding all posts where the post_type contains the word 'blog' (e.g., 'blog_article', 'blog_draft')—then you would use the where clause combined with the SQL LIKE operator and the % wildcard:

$searchWildcard = '%blog%';

$posts = Post::where('post_type', 'LIKE', $searchWildcard)
              ->where('status', '=', 'published')
              ->count();

This approach is appropriate when you need fuzzy searching. However, for filtering based on defined categories (like your example suggests), whereIn() remains the preferred and most robust method.

Conclusion

When tackling complex filtering in Laravel, avoid trying to force string wildcards where equality or set membership checks are more appropriate. For matching a column against multiple discrete values—whether it's checking for specific categories or tags—always default to using whereIn(). This practice ensures your database interactions are clean, performant, and align perfectly with the best practices championed by the Laravel ecosystem. Mastering these query builder methods is key to building scalable applications, much like understanding the structure behind efficient code at laravelcompany.com.