Consider a collection of users
. Each document in the collection has name
and email
as fields.
{
"users": {
"uid1": {
"name": "Alex Saveau",
"email": "[email protected]"
},
"uid2": { ... },
"uid3": { ... }
}
}
Consider now that with this working Cloud Firestore database structure I launch my first version of a mobile application. Then, at some point I realize I want to include another field such as last_login
.
In the code, reading all the users documents from the Firestore DB using Java would be done as
FirebaseFirestore.getInstance().collection("users").get()
.addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot> task) {
if (task.isSuccessful()) {
for (DocumentSnapshot document : task.getResult()) {
mUsers.add(document.toObject(User.class));
}
}
}
});
where the class User
contains now name
, email
and last_login
.
Since the new User
field (last_login
) is not included in the old users stored in the DB, the application is crashing because the new User
class is expecting a last_login
field which is returned as null
by the get()
method.
What would be the best practice to include last_login
in all the existing User
documents of the DB without losing their data on a new version of the app? Should I run an snippet just once to do this task or are there any better approaches to the problem?
add_field: Adds a field in all documents of a collection. delete_field: Deletes a field in all documents of a collection. rename_*_field: Renames a field containing a certain data type (*) in all documents of a collection. Here I include examples for String, Integer, and Date.
Firestore Update Entire DocumentgetDatabase() → where we want to update a document. doc() → where we'll be passing references of database, collection and ID of a document that we want to update. setDoc() → where we actually pass new data that we want to replace along with the doc() method.
Firestore now has a specific operator for this called FieldValue. increment() . By applying this operator to a field, the value of that field can be incremented (or decremented) as a single operation on the server.
You fell into a gap of NOSQL databases: Document oriented databases do not guarantee structural integrity of the data (as RDBMS do)
The deal is:
in an RDBMS all stored data have the same structure at any given time (within the same instance or cluster). When changing the structure (ER-diagram) you have to migrate the data for all existing records which costs time and effort.
As a result, your application can be optimized for the current version of the data structure.
in a Document oriented database each record is an independent "Page" with its own independent structure. If you change the structure it only applies to new documents. So you don't need to migrate the existing data.
As a result, your application must be able to deal with all versions of the data structure you've ever used in your current database.
I don't know about firebase in detail but in general you never update a document in a NOSQL database. You only create a new version of the document. So even if you update all documents your application must be prepared to deal with the "old" data structure...
I wrote some routines to help automate this process back when I posted the question. I did not post them since these are a bit rudimentary and I was hoping for an elegant Firestore-based solution. Because such solution is not still available, here are the functions I wrote.
In short, we have functions for renaming a field, adding a field, or deleting a field. To rename a field, different functions are used depending on the data type. Maybe someone could generalise this better? The functions below are:
Add field:
public void add_field (final String key, final Object value, final String collection_ref) {
FirebaseFirestore.getInstance().collection(collection_ref).get()
.addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot> task) {
if (task.isSuccessful()) {
WriteBatch batch = db.batch();
for (DocumentSnapshot document : task.getResult()) {
DocumentReference docRef = document.getReference();
Map<String, Object> new_map = new HashMap<>();
new_map.put(key, value);
batch.update(docRef, new_map);
}
batch.commit();
} else {
// ... "Error adding field -> " + task.getException()
}
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// ... "Failure getting documents -> " + e
}
});
}
Delete field:
public void delete_field (final String key, final String collection_ref) {
FirebaseFirestore.getInstance().collection(collection_ref).get()
.addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot> task) {
if (task.isSuccessful()) {
WriteBatch batch = db.batch();
for (DocumentSnapshot document : task.getResult()) {
DocumentReference docRef = document.getReference();
Map<String, Object> delete_field = new HashMap<>();
delete_field.put(key, FieldValue.delete());
batch.update(docRef, delete_field);
}
// Commit the batch
batch.commit().addOnCompleteListener(new OnCompleteListener<Void>() {
@Override
public void onComplete(@NonNull Task<Void> task) {
// ...
}
});
} else {
// ... "Error updating field -> " + task.getException()
}
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// ... "Failure getting notices -> " + e
}
});
}
Rename field:
public void rename_string_field (final String old_key, final String new_key, final String collection_ref) {
FirebaseFirestore.getInstance().collection(collection_ref).get()
.addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot> task) {
if (task.isSuccessful()) {
WriteBatch batch = db.batch();
for (DocumentSnapshot document : task.getResult()) {
DocumentReference docRef = document.getReference();
String old_value = document.getString(old_key);
if (old_value != null) {
Map<String, Object> new_map = new HashMap<>();
new_map.put(new_key, old_value);
Map<String, Object> delete_old = new HashMap<>();
delete_old.put(old_key, FieldValue.delete());
batch.update(docRef, new_map);
batch.update(docRef, delete_old);
}
}
// Commit the batch
batch.commit().addOnCompleteListener(new OnCompleteListener<Void>() {
@Override
public void onComplete(@NonNull Task<Void> task) {
// ...
}
});
} else {
// ... "Error updating field -> " + task.getException()
}
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// ... "Failure getting notices ->" + e
}
});
}
public void rename_integer_field (final String old_key, final String new_key, final String collection_ref) {
FirebaseFirestore.getInstance().collection(collection_ref).get()
.addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot> task) {
if (task.isSuccessful()) {
WriteBatch batch = db.batch();
for (DocumentSnapshot document : task.getResult()) {
DocumentReference docRef = document.getReference();
int old_value = document.getDouble(old_key).intValue();
Integer ov = old_value;
if (ov != null) {
Map<String, Object> new_map = new HashMap<>();
new_map.put(new_key, old_value);
Map<String, Object> delete_old = new HashMap<>();
delete_old.put(old_key, FieldValue.delete());
batch.update(docRef, new_map);
batch.update(docRef, delete_old);
}
}
// Commit the batch
batch.commit().addOnCompleteListener(new OnCompleteListener<Void>() {
@Override
public void onComplete(@NonNull Task<Void> task) {
// ...
}
});
} else {
// ... "Error updating field -> " + task.getException()
}
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// ... "Failure getting notices -> " + e
}
});
}
public void rename_date_field (final String old_key, final String new_key, final String collection_ref) {
FirebaseFirestore.getInstance().collection(collection_ref).get()
.addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() {
@Override
public void onComplete(@NonNull Task<QuerySnapshot> task) {
if (task.isSuccessful()) {
WriteBatch batch = db.batch();
for (DocumentSnapshot document : task.getResult()) {
DocumentReference docRef = document.getReference();
Date old_value = document.getDate(old_key);
if (old_value != null) {
Map<String, Object> new_map = new HashMap<>();
new_map.put(new_key, old_value);
Map<String, Object> delete_old = new HashMap<>();
delete_old.put(old_key, FieldValue.delete());
batch.update(docRef, new_map);
batch.update(docRef, delete_old);
}
}
// Commit the batch
batch.commit().addOnCompleteListener(new OnCompleteListener<Void>() {
@Override
public void onComplete(@NonNull Task<Void> task) {
// ...
}
});
} else {
// ... "Error updating field -> " + task.getException()
}
}
})
.addOnFailureListener(new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// ... "Failure getting notices -> " + e
}
});
}
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