Cloud Firestore made super easy with sweet syntactic sugar
firestore-sweet
works with both client-sidefirebase
and server-sidefirebase-admin
.
https://warashibe.github.io/firestore-sweet/
yarn add firestore-sweet
import sweet from "firestore-sweet"
import firebase from "firebase"
firebase.initializeApp({
apiKey: '### FIREBASE API KEY ###',
authDomain: '### FIREBASE AUTH DOMAIN ###',
projectId: '### CLOUD FIRESTORE PROJECT ID ###'
});
const db = sweet(firebase.firestore)
import sweet from "firestore-sweet"
import admin from "firebase-admin"
const serviceAccount = require('path/to/serviceAccountKey.json');
admin.initializeApp({
credential: admin.credential.cert(serviceAccount)
})
const db = sweet(admin.firestore)
firestore-sweet
automatically knows whether the ref
is a collection
or a doc
based on the position.
It returns actual data instead of snapshot.
/* for comparisons with the original APIs
const fs = firebase.firestore() */
// fs.collection("users").get()
await db.get("users")
// fs.collection("users").doc("Bob").get()
await db.get("users", "Bob")
// fs.collection("users").doc("Bob").collection("comments").get()
await db.get("users", "Bob", "comments")
// fs.collection("users").doc("Bob").collection("comments").doc("no3").get()
await db.get("users", "Bob", "comments", "no3")
firestore-sweet
knows whether the argument is for where
, orderBy
, or limit
based on the array length.
// fs.collection("users").where("age", "==", 20).get()
await db.get("users", ["age", "==", 20])
// fs.collection("users").where("age", "==", 20).orderBy("age", "desc").get()
await db.get("users", ["age", "==", 20], ["age", "desc"])
// fs.collection("users").where("age", "==", 20).orderBy("age", "desc").limit(5).get()
await db.get("users", ["age", "==", 20], ["age", "desc"], 5)
// fs.collection("users").orderBy("age").startAt(20).get()
await db.get("users", ["age"], ["startAt", 20])
// fs.collection("users").doc("Bob").set({name:"Bob", age: 30})
await db.set({name:"Bob", age: 30}, "users", "Bob")
// fs.collection("users").doc("Bob").set({name:"Bob", age: 30}, {merge: true})
await db.upsert({name:"Bob", age: 30}, "users", "Bob")
// fs.collection("users").doc("Bob").update({name:"Bob", age: 30})
await db.update({age: 40}, "users", "Bob")
// fs.collection("users").doc("Bob").delete()
await db.delete("users", "Bob")
// fs.collection("users").doc("Bob").update({age: firebase.firestore.FieldValue.delete()})
await db.update({age: db.del}, "users", "Bob")
// fs.collection("users").doc("Bob").update({age: firebase.firestore.FieldValue.increment(3)})
await db.update({age: db.inc(3)}, "users", "Bob")
// fs.collection("users").doc("Bob").update({date: firebase.firestore.FieldValue.serverTimestamp()})
await db.update({date: db.ts}, "users", "Bob")
// fs.collection("users").doc("Bob").update({favorites: firebase.firestore.FieldValue.arrayUnion("tomato")})
await db.update({favorites: db.union("tomato")}, "users", "Bob")
// fs.collection("users").doc("Bob").update({favorites: firebase.firestore.FieldValue.arrayRemove("tomato")})
await db.update({favorites: db.remove("tomato")}, "users", "Bob")
const unsubscribe = db.on("users", (docs) => {
for(const user of docs){
console.log(`${user.name} : ${user.age}`)
}
})
This is a unique method only seen in firestore-sweet
to delete everything in a collection.
Be careful using it since it's powerful and dangerous if misused.
await db.drop("users")
Use ref
to simply get a native ref object from the Firestore SDK.
await db.ref("users", "Bob")
With firestore sweet
, multiple write operations are possible with queries in one method.
This is not something possible with the Firestore APIs. Firestore batch has 500 operations at a time limit, but firestore sweet
automatically bypasses the limit by dividing the operations into chunks of 500 and parallelly executes those. It can execute 50,000 operations in a few seconds this way, but watch out for your bill.
add
andupsert
don't make sense with this operation.add
doesn't do anything andupsert
works the same asupdate
in this context.
await db.update({age: 30}, "users", ["age", ">", 30])
await db.set({name: "John", age: 30}, "users", ["age", ">", 30])
await db.delete("users", ["age", ">", 30])
await db.tx("users", "Bob", ({ref, t, data}) => {
t.update(ref, {age: data.age + 10})
})
await db.batch([
["set, {name: "Bob", age: 30}, "users", "Bob"],
["update", {age: db.inc(3)}, "users", "Bob"],
["delete", "users", "Bob"]
])
You can also get document id
and snapshot
with the actual data by adding K
or S
to the method names.
get
=>getK
getS
/tx
=>txK
txS
/on
=>onK
onS
// getK returns document id and data
const users = await db.getK("users")
for(const id in users){
console.log(`${users[id].name} : ${users[id].age}`)
}
// getS returns Object with snapshot, document id and data
for(const {id, ss , data} of await db.getS("users")){
const user = ss.data() // same as data
console.log(`${user.name} : ${user.age}`)
}
// getR returns a raw snapshot which is the same behavior as the original firestore API but as an array
(await db.getR("users")).forEach((ss) => {
const user = ss.data()
console.log(`${user.name} : ${user.age}`)
}
/* "txK", "txS" and "onK", "onS"
return the same data as "getK", "getS" respectively */
You need service-account credentials for a Firebase project at /test/.service-account.json
to run the tests.
Use a disposable project if you are to run the tests since the tests manipulate and delete actual data from your Firestore.
yarn run test