Mongo Change Stream
Sync a MongoDB collection to any database. Requires Redis for state management.
An initial scan is performed while change stream events are handled. In order to
prevent a potential race condition see the strategies section below.
If the inital scan doesn't complete for any reason (e.g., server restart) the scan
will resume where it left off. This is deterministic since the collection scan is sorted
by _id
. Change streams will likewise resume from the last resume token upon server
restarts. See the official MongoDB docs for more information on change stream resumption:
https://www.mongodb.com/docs/manual/changeStreams/#std-label-change-stream-resume
WARNING: If the Node process is stopped prior to receiving the initial change event for the
collection there is a risk that changes to documents that took place while the server
was restarting would be missed.
This library uses debug
. To enable you can do something like:
DEBUG=mongochangestream node myfile.js
import { ChangeStreamDocument, MongoClient } from 'mongodb'
import { default as Redis } from 'ioredis'
import { initSync } from 'mongochangestream'
const redis = new Redis()
const mongoUrl = 'mongodb+srv://...'
const client = await MongoClient.connect(mongoUrl)
const db = client.db('someDb')
const coll = db.collection('someColl')
const processRecord = async (doc: ChangeStreamDocument) => {
console.dir(doc, { depth: 10 })
}
const processRecords = async (docs: ChangeStreamInsertDocument[]) => {
console.dir(docs, { depth: 10 })
}
const sync = initSync(redis, coll)
const initialScan = await sync.runInitialScan(processRecords)
initialScan.start()
const changeStream = await sync.processChangeStream(processRecord)
changeStream.start()
setTimeout(changeStream.stop, 30000)
const schemaChange = await sync.detectSchemaChange(db, {
shouldRemoveMetadata: true,
})
schemaChange.start()
schemaChange.emitter.on('change', () => {
initialScan.stop()
changeStream.stop()
})
Below are the available methods.
The processChangeStream
method will never complete, but runInitialScan
will complete
once it has scanned all documents in the collection. runInitialScan
batches records for
efficiency.
The reset
method will delete all relevant keys for a given collection in Redis.
import { ChangeStreamDocument, Collection, Document } from 'mongodb'
export type ProcessRecord = (doc: ChangeStreamDocument) => void | Promise<void>
export type ProcessRecords = (
doc: ChangeStreamInsertDocument[]
) => void | Promise<void>
const runInitialScan = async (
processRecords: ProcessRecords,
options: QueueOptions & ScanOptions = {}
)
const processChangeStream = async (
processRecord: ProcessRecord,
pipeline: Document[] = []
)
const detectSchemaChange = async (db: Db, options: ChangeOptions = {})
Change Stream Strategies
The idea behind these strategies is to prevent overwriting a document with
an out-of-date version of the document. In order to prevent that scenario
inserts must only succeed if the document doesn't already exist. Likewise,
updates must be capable of inserting the full document if it doesn't already
exist (i.e., perform a replace or an upsert).
The initial scan returns a simulated change event document with operationType
set to insert
. An actual update change event will include the field-level changes
in addition to the full document after the change.
NOTE: Exceptions are not caught by this library. You must catch them in your
processRecord
callback and handle them accordingly. For example, an insert
that fails due to a primary key already existing in the destination datastore.
Elasticsearch
Insert
POST /index/_create/id
...
Update
POST /index/_doc/id
...
Remove
DELETE /index/_doc/id
SQL (MySQL, CrateDB)
Insert
INSERT INTO table ...
Update
MySQL
INSERT INTO table ... ON DUPLICATE KEY UPDATE changedField = someValue
CrateDB
INSERT INTO table ... ON CONFLICT DO UPDATE SET changedField = someValue
Remove
DELETE FROM table WHERE id = someId
MongoDB
Insert
db.collection('someColl').insertOne(...)
Update
db.collection('someColl').replaceOne({_id: ObjectId(...)}, ..., {upsert: true})
Remove
db.collection('someColl').deleteOne({_id: ObjectId(...)})