How to use Eloquent casts in `firstOrCreate`?
Stefan Bogdanescu
Founder & Senior Architect · 2026-06-29
How to Use Eloquent Casts in firstOrCreate: Solving PostgreSQL Array Binding Issues
Working with advanced database features like PostgreSQL array types, especially when combined with custom Eloquent casts, introduces interesting complexities. When you attempt to use methods like firstOrCreate or updateOrCreate, the way Eloquent constructs the underlying SQL queryâspecifically the parameter bindingâcan sometimes be tripped up by custom type handling.
This post dives into a specific scenario where a custom cast for PostgreSQL arrays seems to interfere with how Eloquent passes data to the database, resulting in unexpected errors during operations like firstOrCreate. We will diagnose why this happens and provide robust solutions.
The Scenario: Casting Arrays in Query Operations
We are working with a Laravel application connected to a PostgreSQL database. We have a tasks table featuring an array column: eligible_status_ids BIGINT[]. To handle the conversion between the database's array format (e.g., {1,2,3}) and PHP's native Collections, we implemented a custom cast, PostgresArrayCast.
The goal is to perform an atomic operation: find a task matching certain criteria and update a single scalar value (initial_duration), or create a new one.
Your attempt using firstOrCreate looked like this:
$newTask = Task::firstOrCreate([
'initial_duration' => $desiredValue,
...$existingTask->only(['name', 'description', 'eligible_status_ids'])
]);However, you encountered a PostgreSQL error indicating that the array parameter is missing from the prepared statement, even though the cast correctly transforms the data within your Eloquent model.
Diagnosing the Binding Failure
The core issue stems from the interaction between Eloquent's query builder and custom attribute casting. When Eloquent prepares a query for methods like WHERE clauses in firstOrCreate, it gathers the attributes provided in the array and attempts to bind them as parameters to the SQL statement.
In your case, the PostgresArrayCast handles serialization (set() method) by converting the PHP Collection into a comma-separated string format enclosed in curly braces (e.g., {1,2,3}). While this is correct for database storage, when Eloquent processes this data during query construction, it seems to be treating the casted attribute as a complex object or failing to correctly extract the raw array structure needed for parameter binding on the PostgreSQL side.
The error message clearly shows that the bound message expects four parameters, but only three are supplied because the array value is effectively ignored in the parameter list:
select * from "tasks" where ("initial_duration" = 120 and "name" = Close and "description" = Testing and "eligible_status_ids" = ?) and "tasks"."deleted_at" is null limit 1The query builder ignores the casted array parameter, leading to a mismatch between the data Eloquent holds in memory (the casted collection) and the raw array representation required by the PostgreSQL driver.
The Solution: Separating Data for Query vs. Hydration
The fix involves separating the data needed for the query building phase from the data needed for the model hydration phase, ensuring that complex types are handled explicitly when constructing the query constraints.
Instead of relying solely on only() which pulls all attributes potentially causing casting issues into the binding layer, we should explicitly define what is needed for the search criteria and what is part of the creation payload.
Best Practice Implementation
For operations like firstOrCreate, focus only on the columns required for matching (WHERE clause) and the scalar fields you are modifying. Let Eloquent handle the rest during the final model instantiation.
If you exclusively need to query based on specific array elements, consider querying the raw attribute or ensuring your cast facilitates direct comparison if possible. However, for firstOrCreate, the most reliable method is often to ensure the casted data is correctly serialized before it's used in the input array, which your custom cast already handles via the set method.
If the issue persists with complex casts, a more robust approach is to handle the complex attribute separately:
$attributes = [
'initial_duration' => $desiredValue,
];
// Explicitly fetch only the necessary attributes for matching criteria
$matchingTask = Task::where('name', $existingTask->name)
->where('description', $existingTask->description)
->where('eligible_status_ids', $existingTask->eligible_status_ids) // Pass the raw collection/array here if possible, or rely on how your cast interacts with WHERE clauses.
->first();
if ($matchingTask) {
// If found, update only the scalar field
$matchingTask->update(['initial_duration' => $desiredValue]);
} else {
// If not found, create the new record using all necessary data
Task::create([
'initial_duration' => $desiredValue,
'name' => $existingTask->name,
'description' => $existingTask->description,
'eligible_status_ids' => $existingTask->eligible_status_ids, // The cast will handle serialization here for insertion
]);
}By breaking down the operation into explicit where and create steps, you give Eloquent clearer context. When inserting via create(), the framework handles serializing the casted collection internally before sending it to PostgreSQL, which often resolves binding ambiguity encountered with complex custom casts during combined operations like firstOrCreate. This pattern aligns well with the principles of clean data handling advocated by the Laravel team on the official site: https://laravelcompany.com.
Conclusion
Custom Eloquent casts are powerful tools for bridging application logic and database schemas, especially when dealing with non-standard types like PostgreSQL arrays. While this flexibility is excellent, it requires careful attention to how those casted values interact with the query builder layer, particularly in methods that construct complex WHERE clauses like firstOrCreate. By decoupling the search criteria from the full set of attributes being hydrated, you can bypass ambiguous parameter binding errors and maintain clean, predictable database interactions.