I'm trying to builda criteria that would filter the entries in the DB ,yet i'm not getting the proper results when filtering the genre. (the text seems to work but i'm not sure if the code will support both filters).
This is my buildCriteria function, console logging returns the proper values.
function _buildCriteria(filterBy) {
const criteria = {};
const { text, genre } = filterBy;
console.log('genre:', genre);
if (text) {
const txtCriteria = { $regex: text, $options: 'i' };
criteria.name = txtCriteria;
}
if (genre) {
criteria.genre = { $eq: genre };
}
return criteria;
}
This is the query function :
async function query(filterBy) {
try {
const criteria = _buildCriteria(filterBy);
const collection = await dbService.getCollection('tab');
const tabs = await collection.find(criteria).toArray();
return tabs;
} catch (err) {
logger.error('Can not find tabs', err);
throw err;
}
}
Would appreciate your help greatly!
im a total newbie in js (typescript, mongoDB, node.)
i just found that my code is not behaving as i expected, im getting 6 registers on the mongoDB instead of just one, it should check if the register exists and then update it, i dont know if it is something related to the await / async or i am doing something wrong, thanks in advace, here is my code.
fields.forEach((value) => {
try {
const mongoConnection = new DocumentDbRepository();
let checksIfExists = await mongoConnection.getValue(key, information[uniqueValue]);
if(checksIfExists==null){
let insert = await mongoConnection.insertValue(information);
console.log(insert);
}
if(checksIfExists?.passValue===information.passValue){
console.log('---------update---------');
let sons = Object.values(information.ticketToRide);
information.ticketToRide = sons;
let update = await mongoConnection.updateRegister(information, checksIfExists._id);
console.log(update);
} else {
console.log('---------insert---------');
let sons = Object.values(information.ticketToRide);
information = sons;
let insert = await mongoConnection.insertValue(information);
console.log(insert);
}
} catch (error) {
console.log(error)
}
}
async getValue(uniqueValue: any, keyValue:any) {
if (this._connection == null) {
await this.connect();
}
const db = this._connection.db(DocumentDbRepository.DbName);
const ticketToRide = db.collection("ticketToRide");
const query = {};
query[uniqueValue] = ''+keyValue+'';
const passInfo = await ticketToRide.findOne(query);
return passInfo;
}
async insertValue(information: any) {
if (this._connection == null) {
await this.connect();
}
const db = this._connection.db(DocumentDbRepository.DbName);
const ticketToRide = db.collection("ticketToRide");
let check = await ticketToRide.insertOne(
information
)
return check;
}
First, you don't need to create a connection inside the loop.
Second, mongodb has an update() or updateMany() method that has a special option { upsert: true }. If it is passed, insert will happen automatically.
Usage example:
Person.update( { name: 'Ted' }, { name: 'Ted', age : 50 }, { upsert: true })
i am initializing a node js app with crucial data for the app to work from a database in index.js.
index.ts
import {getInitialData} from 'initData.ts';
export let APP_DATA: AppData;
export const initializeAppData = async () => {
try {
APP_DATA = (await getInitialData()) as AppData;
if (process.env.NODE_ENV !== 'test') {
initializeMongoose();
startServer();
}
} catch (error) {
console.log(error);
}
};
initData.ts
let dbName: string = 'initialData';
if (process.env.NODE_ENV === 'test') {
dbName = 'testDb';
}
const uri = `${process.env.MONGODB_URI}/?maxPoolSize=20&w=majority`;
export async function getInitialData() {
const client = new MongoClient(uri);
try {
await client.connect();
const database = client.db(dbName);
const configCursor = database
.collection('config')
.find({}, { projection: { _id: 0 } });
const config = await configCursor.toArray();
const aaoCursor = database
.collection('aao')
.find({}, { projection: { _id: 0 } });
const aao = await aaoCursor.toArray();
return { config, aao };
} catch {
(err: Error) => console.log(err);
} finally {
await client.close();
}
}
I'm using this array in another file and import it there.
missionCreateHandler
import { APP_DATA } from '../index';
export const addMissionResources = (
alarmKeyword: AlarmKeyword,
newMission: MissionDocument
) => {
const alarmKeywordObject = APP_DATA?.aao.find(
(el) => Object.keys(el)[0] === alarmKeyword
);
const resourceCommand = Object.values(alarmKeywordObject!);
resourceCommand.forEach((el) => {
Object.entries(el).forEach(([key, value]) => {
for (let ii = 1; ii <= value; ii++) {
newMission.resources?.push({
initialType: key,
status: 'unarranged',
});
}
});
});
};
I'm setting up a mongodb-memory-server in globalSetup.ts for Jest and copy the relevant data to the database from json-files.
globalSetup.ts
export = async function globalSetup() {
const instance = await MongoMemoryServer.create({
instance: { dbName: 'testDb' },
});
const uri = instance.getUri();
(global as any).__MONGOINSTANCE = instance;
process.env.MONGODB_URI = uri.slice(0, uri.lastIndexOf('/'));
process.env.JWT_SECRET = 'testSECRET';
const client = new MongoClient(
`${process.env.MONGODB_URI}/?maxPoolSize=20&w=majority`
);
try {
await client.connect();
const database = client.db('testDb');
database.createCollection('aao');
//#ts-ignore
await database.collection('aao').insertMany(aao['default']);
} catch (error) {
console.log(error);
} finally {
await client.close();
}
};
missionCreateHandler.test.ts
test('it adds the correct mission resources to the array', async () => {
const newMission = await Mission.create({
address: {
street: 'test',
houseNr: 23,
},
alarmKeyword: 'R1',
});
const expected = {
initialType: 'rtw',
status: 'unarranged',
};
addMissionResources('R1', newMission);
expect(newMission.resources[0].initialType).toEqual(expected.initialType);
expect(newMission.resources[0].status).toEqual(expected.status);
});
When runing the test, i get an 'TypeError: Cannot convert undefined or null to object at Function.values ()'. So it seems that the APP_DATA object is not set. I checked that the mongodb-memory-server is set up correctly and feed with the needed data.
When i hardcode the content of APP_DATA in index.ts, the test runs without problems.
So my questions are: How is the best practice to set up initial data in a node js app and where to store it (global object, simple variable and import it in the files where needed)? How can the test successfully run, or is my code just untestable?
Thank you!
I'm trying to run two sequencitally graphQL requests, the first one give me data that I need into the second one parameters. And I don't know how to wait to the first.
My program is the following one:
I have the declaration of my GraphQL requests:
const [
addConfigurableProductToCart,
{ error: errorAddingSimpleProduct, loading: isAddSimpleLoading }
] = useMutation(ADD_CONFIGURABLE_MUTATION);
const [getDataParentSku, { error, loading, data }] = useLazyQuery(
GET_PARENT_SKU
);
And the main workflow are in this function.
const handleAddProductsToCart = useCallback(
async csvProducts => {
let tempSkuErrorList = [];
for (let i = 0; i < csvProducts.length; i++) {
const orParentSku = getDataVariable(csvProducts[i][0]);
const variables = {
cartId,
quantity: parseInt(csvProducts[i][1], 10),
sku: csvProducts[i][0],
parentSku: orParentSku.then(res => {
return res.products.items[0].orParentSku;
})
};
try {
await addConfigurableProductToCart({
variables
});
} catch {
tempSkuErrorList.push(csvProducts[i][0]);
}
}
},
[
addConfigurableProductToCart,
cartId,
]
);
getDataVariable() is the function who call the first query (useLazyQuery()). And its content is:
const getDataVariable = useCallback(
async sku => {
getDataParentSku({
variables: { sku: sku }
});
return await data;
},
[getDataParentSku, data]
);
The error that I have been finding all the time is that when I need the data, is undefined.
Another option was the idea of using this library https://www.npmjs.com/package/graphql-lodash, in order to merge the query into one, but is outdated.
Thanks a lot for your help.
I'm trying to update a field timestamp with the Firestore admin timestamp in a collection with more than 500 docs.
const batch = db.batch();
const serverTimestamp = admin.firestore.FieldValue.serverTimestamp();
db
.collection('My Collection')
.get()
.then((docs) => {
serverTimestamp,
}, {
merge: true,
})
.then(() => res.send('All docs updated'))
.catch(console.error);
This throws an error
{ Error: 3 INVALID_ARGUMENT: cannot write more than 500 entities in a single call
at Object.exports.createStatusError (C:\Users\Growthfile\Desktop\cf-test\functions\node_modules\grpc\src\common.js:87:15)
at Object.onReceiveStatus (C:\Users\Growthfile\Desktop\cf-test\functions\node_modules\grpc\src\client_interceptors.js:1188:28)
at InterceptingListener._callNext (C:\Users\Growthfile\Desktop\cf-test\functions\node_modules\grpc\src\client_interceptors.js:564:42)
at InterceptingListener.onReceiveStatus (C:\Users\Growthfile\Desktop\cf-test\functions\node_modules\grpc\src\client_interceptors.js:614:8)
at callback (C:\Users\Growthfile\Desktop\cf-test\functions\node_modules\grpc\src\client_interceptors.js:841:24)
code: 3,
metadata: Metadata { _internal_repr: {} },
details: 'cannot write more than 500 entities in a single call' }
Is there a way that I can write a recursive method which creates a batch object updating a batch of 500 docs one by one until all the docs are updated.
From the docs I know that delete operation is possible with the recursive approach as mentioned here:
https://firebase.google.com/docs/firestore/manage-data/delete-data#collections
But, for updating, I'm not sure how to end the execution since the docs are not being deleted.
I also ran into the problem to update more than 500 documents inside a Firestore collection. And i would like to share how i solved this problem.
I use cloud functions to update my collection inside Firestore but this should also work on client side code.
The solution counts every operation which is made to the batch and after the limit is reached a new batch is created and pushed to the batchArray.
After all updates are completed the code loops through the batchArray and commits every batch which is inside the array.
It is important to count every operation set(), update(), delete() which is made to the batch because they all count to the 500 operation limit.
const documentSnapshotArray = await firestore.collection('my-collection').get();
const batchArray = [];
batchArray.push(firestore.batch());
let operationCounter = 0;
let batchIndex = 0;
documentSnapshotArray.forEach(documentSnapshot => {
const documentData = documentSnapshot.data();
// update document data here...
batchArray[batchIndex].update(documentSnapshot.ref, documentData);
operationCounter++;
if (operationCounter === 499) {
batchArray.push(firestore.batch());
batchIndex++;
operationCounter = 0;
}
});
batchArray.forEach(async batch => await batch.commit());
return;
I liked this simple solution:
const users = await db.collection('users').get()
const batches = _.chunk(users.docs, 500).map(userDocs => {
const batch = db.batch()
userDocs.forEach(doc => {
batch.set(doc.ref, { field: 'myNewValue' }, { merge: true })
})
return batch.commit()
})
await Promise.all(batches)
Just remember to add import * as _ from "lodash" at the top. Based on this answer.
You can use default BulkWriter. This method used 500/50/5 rule.
Example:
let bulkWriter = firestore.bulkWriter();
bulkWriter.create(documentRef, {foo: 'bar'});
bulkWriter.update(documentRef2, {foo: 'bar'});
bulkWriter.delete(documentRef3);
await close().then(() => {
console.log('Executed all writes');
});
As mentioned above, #Sebastian's answer is good and I upvoted that too. Although faced an issue while updating 25000+ documents in one go.
The tweak to logic is as below.
console.log(`Updating documents...`);
let collectionRef = db.collection('cities');
try {
let batch = db.batch();
const documentSnapshotArray = await collectionRef.get();
const records = documentSnapshotArray.docs;
const index = documentSnapshotArray.size;
console.log(`TOTAL SIZE=====${index}`);
for (let i=0; i < index; i++) {
const docRef = records[i].ref;
// YOUR UPDATES
batch.update(docRef, {isDeleted: false});
if ((i + 1) % 499 === 0) {
await batch.commit();
batch = db.batch();
}
}
// For committing final batch
if (!(index % 499) == 0) {
await batch.commit();
}
console.log('write completed');
} catch (error) {
console.error(`updateWorkers() errored out : ${error.stack}`);
reject(error);
}
Explanations given on previous comments already explain the issue.
I'm sharing the final code that I built and worked for me, since I needed something that worked in a more decoupled manner, instead of the way that most of the solutions presented above do.
import { FireDb } from "#services/firebase"; // = firebase.firestore();
type TDocRef = FirebaseFirestore.DocumentReference;
type TDocData = FirebaseFirestore.DocumentData;
let fireBatches = [FireDb.batch()];
let batchSizes = [0];
let batchIdxToUse = 0;
export default class FirebaseUtil {
static addBatchOperation(
operation: "create",
ref: TDocRef,
data: TDocData
): void;
static addBatchOperation(
operation: "update",
ref: TDocRef,
data: TDocData,
precondition?: FirebaseFirestore.Precondition
): void;
static addBatchOperation(
operation: "set",
ref: TDocRef,
data: TDocData,
setOpts?: FirebaseFirestore.SetOptions
): void;
static addBatchOperation(
operation: "create" | "update" | "set",
ref: TDocRef,
data: TDocData,
opts?: FirebaseFirestore.Precondition | FirebaseFirestore.SetOptions
): void {
// Lines below make sure we stay below the limit of 500 writes per
// batch
if (batchSizes[batchIdxToUse] === 500) {
fireBatches.push(FireDb.batch());
batchSizes.push(0);
batchIdxToUse++;
}
batchSizes[batchIdxToUse]++;
const batchArgs: [TDocRef, TDocData] = [ref, data];
if (opts) batchArgs.push(opts);
switch (operation) {
// Specific case for "set" is required because of some weird TS
// glitch that doesn't allow me to use the arg "operation" to
// call the function
case "set":
fireBatches[batchIdxToUse].set(...batchArgs);
break;
default:
fireBatches[batchIdxToUse][operation](...batchArgs);
break;
}
}
public static async runBatchOperations() {
// The lines below clear the globally available batches so we
// don't run them twice if we call this function more than once
const currentBatches = [...fireBatches];
fireBatches = [FireDb.batch()];
batchSizes = [0];
batchIdxToUse = 0;
await Promise.all(currentBatches.map((batch) => batch.commit()));
}
}
Based on all the above answers, I put together the following pieces of code that one can put into a module in JavaScript back-end and front-end to easily use Firestore batch writes, without worrying about the 500 writes limit.
Back-end (Node.js)
// The Firebase Admin SDK to access Firestore.
const admin = require("firebase-admin");
admin.initializeApp();
// Firestore does not accept more than 500 writes in a transaction or batch write.
const MAX_TRANSACTION_WRITES = 499;
const isFirestoreDeadlineError = (err) => {
console.log({ err });
const errString = err.toString();
return (
errString.includes("Error: 13 INTERNAL: Received RST_STREAM") ||
errString.includes("Error: 4 DEADLINE_EXCEEDED: Deadline exceeded")
);
};
const db = admin.firestore();
// How many transactions/batchWrites out of 500 so far.
// I wrote the following functions to easily use batchWrites wthout worrying about the 500 limit.
let writeCounts = 0;
let batchIndex = 0;
let batchArray = [db.batch()];
// Commit and reset batchWrites and the counter.
const makeCommitBatch = async () => {
console.log("makeCommitBatch");
await Promise.all(batchArray.map((bch) => bch.commit()));
};
// Commit the batchWrite; if you got a Firestore Deadline Error try again every 4 seconds until it gets resolved.
const commitBatch = async () => {
try {
await makeCommitBatch();
} catch (err) {
console.log({ err });
if (isFirestoreDeadlineError(err)) {
const theInterval = setInterval(async () => {
try {
await makeCommitBatch();
clearInterval(theInterval);
} catch (err) {
console.log({ err });
if (!isFirestoreDeadlineError(err)) {
clearInterval(theInterval);
throw err;
}
}
}, 4000);
}
}
};
// If the batchWrite exeeds 499 possible writes, commit and rest the batch object and the counter.
const checkRestartBatchWriteCounts = () => {
writeCounts += 1;
if (writeCounts >= MAX_TRANSACTION_WRITES) {
batchIndex++;
batchArray.push(db.batch());
writeCounts = 0;
}
};
const batchSet = (docRef, docData) => {
batchArray[batchIndex].set(docRef, docData);
checkRestartBatchWriteCounts();
};
const batchUpdate = (docRef, docData) => {
batchArray[batchIndex].update(docRef, docData);
checkRestartBatchWriteCounts();
};
const batchDelete = (docRef) => {
batchArray[batchIndex].delete(docRef);
checkRestartBatchWriteCounts();
};
module.exports = {
admin,
db,
MAX_TRANSACTION_WRITES,
checkRestartBatchWriteCounts,
commitBatch,
isFirestoreDeadlineError,
batchSet,
batchUpdate,
batchDelete,
};
Front-end
// Firestore does not accept more than 500 writes in a transaction or batch write.
const MAX_TRANSACTION_WRITES = 499;
const isFirestoreDeadlineError = (err) => {
return (
err.message.includes("DEADLINE_EXCEEDED") ||
err.message.includes("Received RST_STREAM")
);
};
class Firebase {
constructor(fireConfig, instanceName) {
let app = fbApp;
if (instanceName) {
app = app.initializeApp(fireConfig, instanceName);
} else {
app.initializeApp(fireConfig);
}
this.name = app.name;
this.db = app.firestore();
this.firestore = app.firestore;
// How many transactions/batchWrites out of 500 so far.
// I wrote the following functions to easily use batchWrites wthout worrying about the 500 limit.
this.writeCounts = 0;
this.batch = this.db.batch();
this.isCommitting = false;
}
async makeCommitBatch() {
console.log("makeCommitBatch");
if (!this.isCommitting) {
this.isCommitting = true;
await this.batch.commit();
this.writeCounts = 0;
this.batch = this.db.batch();
this.isCommitting = false;
} else {
const batchWaitInterval = setInterval(async () => {
if (!this.isCommitting) {
this.isCommitting = true;
await this.batch.commit();
this.writeCounts = 0;
this.batch = this.db.batch();
this.isCommitting = false;
clearInterval(batchWaitInterval);
}
}, 400);
}
}
async commitBatch() {
try {
await this.makeCommitBatch();
} catch (err) {
console.log({ err });
if (isFirestoreDeadlineError(err)) {
const theInterval = setInterval(async () => {
try {
await this.makeCommitBatch();
clearInterval(theInterval);
} catch (err) {
console.log({ err });
if (!isFirestoreDeadlineError(err)) {
clearInterval(theInterval);
throw err;
}
}
}, 4000);
}
}
}
async checkRestartBatchWriteCounts() {
this.writeCounts += 1;
if (this.writeCounts >= MAX_TRANSACTION_WRITES) {
await this.commitBatch();
}
}
async batchSet(docRef, docData) {
if (!this.isCommitting) {
this.batch.set(docRef, docData);
await this.checkRestartBatchWriteCounts();
} else {
const batchWaitInterval = setInterval(async () => {
if (!this.isCommitting) {
this.batch.set(docRef, docData);
await this.checkRestartBatchWriteCounts();
clearInterval(batchWaitInterval);
}
}, 400);
}
}
async batchUpdate(docRef, docData) {
if (!this.isCommitting) {
this.batch.update(docRef, docData);
await this.checkRestartBatchWriteCounts();
} else {
const batchWaitInterval = setInterval(async () => {
if (!this.isCommitting) {
this.batch.update(docRef, docData);
await this.checkRestartBatchWriteCounts();
clearInterval(batchWaitInterval);
}
}, 400);
}
}
async batchDelete(docRef) {
if (!this.isCommitting) {
this.batch.delete(docRef);
await this.checkRestartBatchWriteCounts();
} else {
const batchWaitInterval = setInterval(async () => {
if (!this.isCommitting) {
this.batch.delete(docRef);
await this.checkRestartBatchWriteCounts();
clearInterval(batchWaitInterval);
}
}, 400);
}
}
}
No citations or documentation, this code i invented by myself and for me it worked and looks clean, and simple for read and usage. If some one like it, then can use it too.
Better make autotest becose code use private var _ops wich can be changed after packages upgrade. Forexample in old versions its can be _mutations
async function commitBatch(batch) {
const MAX_OPERATIONS_PER_COMMIT = 500;
while (batch._ops.length > MAX_OPERATIONS_PER_COMMIT) {
const batchPart = admin.firestore().batch();
batchPart._ops = batch._ops.splice(0, MAX_OPERATIONS_PER_COMMIT - 1);
await batchPart.commit();
}
await batch.commit();
}
Usage:
const batch = admin.firestore().batch();
batch.delete(someRef);
batch.update(someRef);
...
await commitBatch(batch);
Simple solution
Just fire twice ?
my array is "resultsFinal"
I fire batch once with a limit of 490 , and second with a limit of the lenght of the array ( results.lenght)
Works fine for me :)
How you check it ?
You go to firebase and delete your collection , firebase say you have delete XXX docs , same as the lenght of your array ? Ok so you are good to go
async function quickstart(results) {
// we get results in parameter for get the data inside quickstart function
const resultsFinal = results;
// console.log(resultsFinal.length);
let batch = firestore.batch();
// limit of firebase is 500 requests per transaction/batch/send
for (i = 0; i < 490; i++) {
const doc = firestore.collection('testMore490').doc();
const object = resultsFinal[i];
batch.set(doc, object);
}
await batch.commit();
// const batchTwo = firestore.batch();
batch = firestore.batch();
for (i = 491; i < 776; i++) {
const objectPartTwo = resultsFinal[i];
const doc = firestore.collection('testMore490').doc();
batch.set(doc, objectPartTwo);
}
await batch.commit();
}