Reputation: 371
Firebase Analytics has a 'User properties', when we created one, we have 2 fields: name
and description
. When this property is created, I just have one option, which is edit.
This edit option only gives permission to change the description but not to change the user property name.
Is it possible to delete this user property?
Upvotes: 36
Views: 11860
Reputation: 11
the following solution worked for iOS.
When you set a Firebase Analytics User Property
to nil
, the property is effectively removed for the current user session. You'll see a "removed" message in the console log, and within a few minutes, Firebase updates this in the Analytics Console, effectively clearing it from the user's properties.
After setting a User Property
to nil
to remove it, you can then set a new User Property
with a different name, and Firebase will recognize and update it as a new entry. This approach helps manage the limit of 25 User Properties
by removing unused ones dynamically.
Upvotes: 0
Reputation: 727
No, not yet.
The official statement is: at the moment, your only options are to create a new project or to wait until we add the ability to delete slots. No ETA on that yet.
from: Steve Ganem at https://groups.google.com/forum/#!topic/firebase-talk/Z-dPnzcW_Gw
Upvotes: 24
Reputation: 3580
It seems that an archive option has been recently added, it is also mentioned in the docs.
Upvotes: 8
Reputation: 1908
There's a workaround. You can reset current analytics for the user like this.
FirebaseApp.configure()
Analytics.setUserID("tt")
// Register properties test1, test2,…test26 (the 26 will fail)
for i in (1...26) {
Analytics.setUserProperty("test", forName: "test\(i)")
}
Analytics.logEvent("bang", parameters: [:])
InstanceID.instanceID().deleteID { (error) in
InstanceID.instanceID().getID(handler: { (token, err) in
Analytics.resetAnalyticsData()
Analytics.setUserID("tt")
// Now you can set new 25 properties
for i in (26...30) {
Analytics.setUserProperty("test", forName: "test\(i)")
}
Analytics.logEvent("bang", parameters: [:])
})
}
This is handy in case you export events to BigQuery for example.
Upvotes: 0