ReasonJun

NestJS, a progressive Node.js framework, implements a sophisticated request lifecycle that ensures proper handling of incoming requests through various layers of processing. In this article, we'll break down each step of this lifecycle and understand how it helps in building robust applications.The Request Journey1. Middleware LayerPurpose: Handles common HTTP operationsFunctionality:Pre-process..

Securing PostgreSQL Functions in Supabase: Addressing Search Path VulnerabilitiesIn the world of database management and application development, security is paramount. Recently, while working on a Supabase project utilizing PostgreSQL functions, I encountered a security warning that led us down a path of discovery and improvement. This blog post will walk you through our journey from identifyin..

When : When implementing login using prisma and nextauth. Error message : [next-auth][error][adapter_error_getUserByAccount] https://next-auth.js.org/errors#adapter_error_getuserbyaccount Invalid `prisma.account.findUnique()` invocation: prisma code : generator client { provider = "prisma-client-js" } datasource db { provider = "mysql" url = env("DATABASE_URL") // Add this relationMode = "prisma..

In GraphQL, a fetch policy is a strategy for determining how to fetch data from the server. The fetch policy is specified when a query is made, and it can be used to control whether the data is fetched from the cache, from the server, or from both. There are five main fetch policies in GraphQL: cache-first : This policy checks the cache first, and only fetches data from the server if the data is..

In GraphQL, normalization refers to the process of storing data in a way that minimizes redundancy. This can be done by storing related data in separate tables or documents, or by using a normalized data structure such as a graph. There are two main types of normalization in GraphQL: Data normalization is the process of storing data in a way that minimizes redundancy. This can be done by storing..

Caching is the process of storing data in a temporary location so that it can be accessed more quickly later. In GraphQL, caching can be used to improve the performance of queries by storing the results of previous queries in a cache and returning them if the same query is made again. There are two main types of caching in GraphQL: Client-side caching is done by the client application. The clien..