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🔎 GraphQL Kya Hai?
GraphQL: Bhai, client jo maange bas wahi dega — extra ka jhanjhat nahi!
🍽️ Smart Waiter ka Funda
🧑🍳
GraphQL: Menu mein se jo chahiye, sirf wahi plate mein!
📋
REST API: Poora hotel ka menu de deta hai — khana kam, plates zyada!
👌
Result: Sirf zaroori data, kam load, mast experience!
🎮 Live GraphQL Khel Ground
Koshish Karo: Apni Query/Mutation likho aur khelo!
REST 🆚 GraphQL
| Feature | REST API | GraphQL | Jethalal ka Funda |
|---|---|---|---|
| Data Leke Aana | Har endpoint ka fixed data (poora thali + mithai) | Client jo chune, wahi milega (jitna chahiye utna order) | Smart waiter banam menu ka overload |
| Multiple Resources | Har page ke liye alag-alag requests | Ek hi query mein sab data ek baar mein | Ek plate mein poora khana |
| Versioning | API badle to naya version chahiye (V1, V2...) | Versioning nahi, bas schema mein naye fields | Wahi waiter, naya order samjhe |
| Over/Under Fetching | Zyaada ya kam data milta hai | Har baar perfect data | Na kam, na zyaada, perfect serving |
💻 GraphQL Code ke Samples
{`
# 🔎 Sample Query
query {
booking(id: 15) {
name
address
time
}
}
# Milta Hai: Sirf name, address, time hi aayega
`}
{`
# 🛠️ Sample Mutation
mutation {
createBooking(input: {
name: "Babita Ji"
time: "2025-08-09 19:00"
address: "Gokuldham"
}) {
booking {
id
name
time
}
success
}
}
# Milta Hai: Naya booking object aur success ka status
`}
{`
# 🗂️ Sample Schema
type Booking {
id: ID!
name: String!
address: String
time: String
}
type Query {
booking(id: ID!): Booking
}
type Mutation {
createBooking(input: BookingInput!): CreateBookingPayload
}
`}
🚀 GraphQL ke Fayde aur Features
| Feature | GraphQL | REST API | Fayda |
|---|---|---|---|
| Custom Data Leke Aana | ✅ | ❌ | Sirf zaroori fields, site ki speed badhe |
| Pagination/Filtering | ✅ | ✅ (thodi mehnat) | Payload ka size control karna aasan |
| Single Endpoint | ✅ | ❌ | API maintain karna aasan, kam code |
| Strong Typing/Schema | ✅ | ❌ | Clear docs, kam bugs |
| Auto Docs/Introspection | ✅ | ❌ | Developer ke liye aasan, khud samajh aata hai |
| Under/Overfetching | Kabhi nahi | Aam problem | Network aur performance optimized |