Prisma error P2026 occurs when your query uses a database feature that is not supported by your current database provider. Common examples include full-text search on SQLite, certain index types on MySQL, or advanced constraints not available in all databases.
The P2026 error is a Prisma Client runtime error that indicates a mismatch between your query requirements and your database provider's capabilities. Prisma supports multiple database providers (PostgreSQL, MySQL, SQLite, SQL Server, MongoDB, CockroachDB), but each provider has different feature support levels. When you write a Prisma query that relies on a database-specific feature, Prisma checks at runtime whether your configured database provider supports that feature. If it doesn't, Prisma throws P2026 rather than attempting an operation that would fail at the database level. The error message typically includes the specific feature name that caused the issue. This error commonly occurs when using preview features, advanced query operators, or full-text search capabilities. It's especially common when migrating between database providers (for example, using PostgreSQL in production but SQLite in development), or when enabling preview features that are only available for specific databases.
The P2026 error message includes the specific feature that caused the issue. Check your application logs:
# Example error message
PrismaClientKnownRequestError:
Invalid `prisma.post.findMany()` invocation:
P2026: The current database provider doesn't support a feature that the query used: fullTextSearchThe error tells you exactly which feature is causing the problem. Common unsupported features:
- fullTextSearch - Full-text search operations
- fullTextIndex - Full-text index creation
- Specific filter operators like search, contains with mode settings
- Advanced constraint types
Once you identify the feature, you can determine if it's available for your database provider.
Verify whether your database provider supports the required feature by consulting Prisma's database features matrix:
Visit: https://www.prisma.io/docs/orm/reference/database-features
Key compatibility information:
Full-text search support:
- PostgreSQL: Supported (GA as of Prisma 6 with fullTextSearchPostgres preview feature)
- MySQL: Supported (GA as of Prisma 6)
- SQLite: Limited support (issue #9414 tracks progress)
- MongoDB: Not supported via Prisma's fullTextSearch feature
- SQL Server: Not supported via Prisma's fullTextSearch feature
Advanced indexing:
- PostgreSQL: GiST, GIN, BRIN, SP-GiST algorithms
- MySQL: B-tree, Hash (limited)
- SQLite: B-tree only
Constraints:
- CHECK constraints: PostgreSQL (all versions), MySQL 8+, SQL Server
- EXCLUDE constraints: PostgreSQL only
If your database doesn't support the feature, you'll need to refactor your query or consider migrating providers.
If you're using full-text search or other preview features, ensure you have the correct preview feature enabled for your database provider:
For PostgreSQL with full-text search (Prisma 6+):
// schema.prisma
generator client {
provider = "prisma-client-js"
previewFeatures = ["fullTextSearchPostgres"]
}
datasource db {
provider = "postgresql"
url = env("DATABASE_URL")
}For MySQL with full-text search:
// schema.prisma
generator client {
provider = "prisma-client-js"
previewFeatures = ["fullTextIndex", "fullTextSearch"]
}
datasource db {
provider = "mysql"
url = env("DATABASE_URL")
}After updating your schema, regenerate the Prisma Client:
npx prisma generateImportant: Preview feature names changed in Prisma 6. If you're using fullTextSearch for PostgreSQL, update it to fullTextSearchPostgres.
If your database doesn't support the required feature, refactor your query to use alternative approaches:
Example: Full-text search fallback for unsupported databases
// Original query (requires fullTextSearch)
const results = await prisma.post.findMany({
where: {
OR: [
{ title: { search: 'prisma database' } },
{ content: { search: 'prisma database' } },
],
},
});
// Fallback for databases without fullTextSearch support
const results = await prisma.post.findMany({
where: {
OR: [
{ title: { contains: 'prisma', mode: 'insensitive' } },
{ content: { contains: 'database', mode: 'insensitive' } },
],
},
});Provider-aware query pattern:
const isPostgres = process.env.DATABASE_URL?.startsWith('postgresql');
const searchQuery = isPostgres
? { title: { search: searchTerm } } // Use full-text search
: { title: { contains: searchTerm, mode: 'insensitive' } }; // Fallback
const results = await prisma.post.findMany({
where: searchQuery,
});Note that fallback approaches may have different performance characteristics and search accuracy.
A common cause of P2026 is using different database providers in development and production. This creates queries that work locally but fail in production:
Problem scenario:
# Development (.env.local)
DATABASE_URL="file:./dev.db" # SQLite
# Production
DATABASE_URL="postgresql://..." # PostgreSQLSolution 1: Use the same provider everywhere
# Development (.env.local)
DATABASE_URL="postgresql://localhost:5432/myapp_dev"
# Run PostgreSQL locally with Docker
docker run -d \
--name postgres-dev \
-e POSTGRES_PASSWORD=password \
-e POSTGRES_DB=myapp_dev \
-p 5432:5432 \
postgres:15Solution 2: Use provider-specific query logic
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
// Determine database provider from connection string
const dbProvider = process.env.DATABASE_URL?.split(':')[0];
export function createSearchQuery(searchTerm: string) {
if (dbProvider === 'postgresql' || dbProvider === 'mysql') {
return { search: searchTerm };
}
// SQLite fallback
return { contains: searchTerm, mode: 'insensitive' as const };
}Using the same database provider across all environments prevents these compatibility issues and ensures consistent behavior.
If you frequently encounter feature limitations, consider upgrading your database version or migrating to a more feature-rich provider:
Upgrade paths:
MySQL 5.7 → MySQL 8+
- Adds CHECK constraint support
- Better JSON support
- Improved full-text search
SQLite → PostgreSQL
- Comprehensive full-text search
- Advanced indexing (GIN, GiST)
- Better concurrency handling
- EXCLUDE constraints
Assess migration impact:
# Review your current database provider
npx prisma db pull
# Check what features your queries use
# Review schema.prisma for preview features
cat prisma/schema.prisma | grep previewFeatures
# Test queries against new provider in staging
DATABASE_URL="postgresql://staging..." npm testMigration considerations:
- Data type compatibility (e.g., SQLite's loose typing vs PostgreSQL's strict typing)
- Connection string format changes
- Different migration SQL syntax
- Performance characteristics (indexes, query planning)
PostgreSQL is generally recommended for production applications due to its comprehensive feature support and active Prisma integration.
Preview Feature Evolution: Prisma's preview features graduate to General Availability over time. The fullTextSearch preview feature for PostgreSQL was promoted to GA in Prisma 6, but now requires the fullTextSearchPostgres preview feature name to distinguish it from MySQL's implementation. Always check the release notes when upgrading Prisma versions.
Database Provider Detection: Prisma determines the database provider from the datasource.provider field in schema.prisma, not from the connection string. This means you cannot dynamically switch providers at runtime without regenerating the Prisma Client.
Migration Files and Providers: Prisma Migrate generates provider-specific SQL migration files. If you use SQLite in development and PostgreSQL in production, you cannot share the same migration files—each provider requires its own migration history. Consider using the same provider everywhere or maintaining separate migration directories.
Performance Implications: Fallback queries (using contains instead of search) may not use full-text indexes even if they exist. PostgreSQL's full-text search with GIN indexes can be 10-100x faster than pattern matching with LIKE/ILIKE for large datasets.
MongoDB Considerations: MongoDB has excellent native full-text search capabilities, but Prisma's fullTextSearch preview feature is designed for relational databases. Use MongoDB's native search operators through raw queries if needed:
await prisma.$runCommandRaw({
find: 'posts',
filter: { $text: { $search: 'prisma database' } }
});TypeScript Limitations: Prisma's TypeScript types are generated from your schema and don't reflect runtime database capabilities. A query can be type-safe but still throw P2026 at runtime if the feature isn't supported. Always test queries against your target database provider.
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