how to run multiple queries in one call in prisma orm with postgresql

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04-10-2024

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Streamline Your Queries: Running Multiple Prisma Queries in One Call with PostgreSQL

Ever found yourself writing a flurry of individual Prisma queries to retrieve data in your PostgreSQL database? It can be inefficient and lead to repetitive code. This article will guide you on how to run multiple queries in one call using Prisma, simplifying your data access and boosting performance.

The Problem:

Imagine needing to fetch a list of users and their associated orders in a separate table. Using traditional Prisma queries, you'd write two separate calls, one for users and another for orders. This can be cumbersome, especially when you need to combine data from multiple tables frequently.

The Solution:

Prisma offers a powerful feature called $transaction which allows you to bundle multiple queries within a single transaction. This guarantees all queries execute together, ensuring data consistency and atomicity.

Let's illustrate with an example:

import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient();

async function getUserWithOrders(userId: number) {
  return await prisma.$transaction(async (prisma) => {
    const user = await prisma.user.findUnique({
      where: { id: userId },
    });

    const orders = await prisma.order.findMany({
      where: { userId },
    });

    return {
      user,
      orders,
    };
  });
}

getUserWithOrders(1)
  .then(data => console.log(data)) // Output: { user: ..., orders: [...] }
  .catch(err => console.error(err));

Explanation:

1. Transaction Block: We wrap our queries within the $transaction function, making sure they execute as a single unit.
2. Individual Queries: Inside the transaction, we use the prisma client to perform our findUnique and findMany operations.
3. Data Aggregation: Finally, we return the data from both queries within a single object.

Benefits of Using Transactions:

• Improved Efficiency: Avoid multiple network requests, saving time and resources.
• Data Consistency: Ensures all queries within the transaction succeed or fail together, preventing inconsistent data states.
• Atomicity: Transactions provide atomicity, meaning all queries execute as a single unit, guaranteeing data integrity.

Beyond Simple Queries:

While this example demonstrates fetching data, $transaction can also be used for operations like creating, updating, or deleting data across multiple tables.

Additional Considerations:

• Error Handling: Always include appropriate error handling within your transaction block to gracefully manage failures.
• Performance Tuning: Consider optimizing your queries within the transaction for better performance.

Conclusion:

Leveraging Prisma's $transaction feature empowers you to execute multiple database operations with ease, improve code readability, and guarantee data integrity. By embracing transactions, you can write more efficient and reliable Prisma code for your PostgreSQL applications.

References:

• Prisma Documentation - Transactions
• PostgreSQL Transactions