In Cloud Firestore, why is it not possible to "single bulk" delete a collection (as can be done with Realtime Database)?
With Firebase real time database we can delete a huge list of items with one single command simply by calling
remove () on the parent node (the node is deleted and all is children too).
But according to the documentation with Firestore (https://firebase.google.com/docs/firestore/manage-data/delete-data#collections ) : to delete a Collection we have to code a batch that will to loop over all its documents and delete them one by one .
This is not efficient at all. Is it because Firestore is in beta version or is it structurally impossible to delete the full node (Collection) in one single call ?
The RTDB is able to do this because each database is local to a single region. In order to provide a serialized view, when you call
remove(), the database stops all other work until the removal is complete.
This behavior has been the cause of several apparent outages: if a
remove() call has to delete huge swaths of data, all other activity is effectively locked out until it completes. As a result even for RTDB users that want to delete large quantities of data we have recommended recursively finding and deleting documents in groups (CLI, node.js).
Firestore on the other hand is based on more traditional Google-style storage infrastructure where different ranges of keys are assigned dynamically to different servers (storage isn't actually backed by BigTable, but the same principles apply). This means that deleting data is no longer a necessarily a single region action and it becomes very expensive to effectively make the deletion appear transactional. Firestore transactions are currently limited to 100 participants and this means that any non-trivial transactional bulk deletion is impossible.
We're investigating how best to surface an API that does a bulk deletion without promising transactional behavior. It's straightforward to imagine how to do this from a mobile client, but as you've observed this wouldn't be efficient if all we did is embedded the loop and batch delete for you. We also don't want to make REST clients second-class citizens either.
Firestore is a new product and there are ton of things still to do. Unfortunately this just hasn't made the cut. While this is something we hope to address eventually I can't provide any timeline on when that would be.
In the meantime the console and the firebase command-line both provide a non-transactional means of doing this, e.g. for test automation.
Thanks for your understanding and thanks for trying Firestore!
See a Cloud Firestore pricing example, tier, you're charged for the database operations you perform, the data you store, and the network bandwidth you use. Why Google Cloud Choosing Google Cloud Trust and security Open cloud You can use Datastore client libraries with this project but not Firestore client libraries.
Best practices for Cloud Firestore, Do not use monotonically increasing document IDs such as: Use asynchronous calls where available instead of synchronous calls. The Cloud Firestore SDKs and client libraries automatically retry failed transactions to Cloud Firestore is integrated with both Google Cloud Platform (GCP) and Firebase, Google's mobile development platform. You can talk directly to Cloud Firestore from your mobile or web clients for a truly serverless solution. No need to set up an intermediary server to manage access to your data.
def delete_collection(coll_ref, batch_size, counter): batch = db.batch() init_counter=counter docs = coll_ref.limit(500).get() deleted = 0 for doc in docs: batch.delete(doc.reference) deleted = deleted + 1 if deleted >= batch_size: new_counter= init_counter + deleted batch.commit() print("potentially deleted: " + str(new_counter)) return delete_collection(coll_ref, batch_size, new_counter) batch.commit() delete_collection(db.collection(u'productsNew'), 500, 0)
this delete all documents from collection "productNew" in blocks of 500, which is currently the maximum number of documents which can be passed to a commit. See Firebase write and transaction quotas.
You can get more sophisticated and handle also API errors, but this just works fine for me.
Cloud Firestore triggers, Triggered when onCreate , onUpdate or onDelete is triggered. Note: Cloud Firestore events will trigger only on document changes. It is not possible to add events It expects the name of a local file containing your Cloud Firestore Security Rules and applies those rules to all projects. If you don't provide the local file path or use the loadFirestoreRules method as described below, the emulator treats all projects as having open rules.
Choosing between Native mode and Datastore mode, Firestore real-time capabilities will not be available. In the Cloud Console, the database will use the Datastore viewer. Automatic upgrade to Datastore mode. Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform. Like Firebase Realtime Database, it keeps your data in sync across client apps through realtime listeners and offers offline support for mobile and web so you can build responsive apps that work regardless of network latency or Internet connectivity.
Querying and filtering data | Firestore, For example, the query above would not return a city document where instead of an array, the region field is the string west_coast . You can use an array value as Cloud Firestore support indexed queries with compound sorting and filtering. Unlike Realtime Database, Cloud Firestore allows chaining the filters and combining filter and sort on a property in a
In Cloud Firestore, why is it not possible to “single bulk” delete a , In Cloud Firestore, why is it not possible to “single bulk” delete a collection (as can be done with Realtime Database)? - firebase. Cloud Firestore is a NoSQL document database built for automatic scaling, high performance, and ease of application development. While the Cloud Firestore interface has many of the same features as traditional databases, as a NoSQL database it differs from them in the way it describes relationships between data objects.