Firestore Client in Google App Engine: Per-Request or Global?
Creating a Firestore Client in Google App Engine: Per Request or Global?
Context Awareness in Google App Engine
Google App Engine (GAE) suggests using a context.Context scoped to the HTTP request for each client library. This ensures that the client is tied to the specific request, providing context-specific data for the database operations.
Per-Request vs. Global Client
Per-Request Approach:
In the provided example, a new Firestore client is created within the handler function for each request:
func (s *server) person(ctx context.Context, id int) { _, err := s.db.Client.Collection("people").Doc(uid).Set(ctx, p) }
While this approach ensures the client is isolated to the current request, it can be inefficient and introduce unnecessary overhead, especially for long-running requests or high-frequency operations.
Global Client Approach:
An alternative approach is to create a single global Firestore client and reuse it for multiple requests. However, this was not feasible in the old Go runtime in GAE.
New Go 1.11 Runtime
With the introduction of the Go 1.11 runtime for GAE standard, the context scoping restrictions have been relaxed. This now allows you to use any context you prefer.
Best Practices for Go 1.11 and Firestore
In the new GAE standard runtime, it's recommended to:
-
Initialize the Firestore client in the main() or init() function using the background context:
func init() { var err error client, err = firestore.NewClient(context.Background()) }
Copy after login -
In request handlers, use the request context for API calls:
func handleRequest(w http.ResponseWriter, r *http.Request) { doc := client.Collection("cities").Doc("Mountain View") doc.Set(r.Context(), someData) }
Copy after login
By following these best practices, you can take advantage of the efficiency gains provided by reusing a global Firestore client while still maintaining request-specific context in your database operations.
The above is the detailed content of Firestore Client in Google App Engine: Per-Request or Global?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.
