Cloud Firestore limit 8 millions writes per day on single document
Many realtime apps have documents that act as counters. For example, you might count 'likes' on a post, or the number of visits of a video.
According to my calculations using cloud firestore this value can not grow more than 8 millions per day
With Cloud Firestore and Distributed counter I can have (at most) :
1 write/second * 100 == 100 writes per second.
1 day = 86.400 seconds
86.400 * 100 = 8.640.000
( 100 : Limit maximum depth of subcollections)
How can this limit be exceeded for an application with many users?
Thanks you
firebase firebase-realtime-database google-cloud-firestore asked Nov 12 at 9:33
John
225
add a comment |
Many realtime apps have documents that act as counters. For example, you might count 'likes' on a post, or the number of visits of a video.
According to my calculations using cloud firestore this value can not grow more than 8 millions per day
With Cloud Firestore and Distributed counter I can have (at most) :
1 write/second * 100 == 100 writes per second.
1 day = 86.400 seconds
86.400 * 100 = 8.640.000
( 100 : Limit maximum depth of subcollections)
How can this limit be exceeded for an application with many users?
Thanks you
firebase firebase-realtime-database google-cloud-firestore asked Nov 12 at 9:33
John
225
You can also take a look at the last part of my answer from this post.
– Alex Mamo
Nov 12 at 16:35
add a comment |
Many realtime apps have documents that act as counters. For example, you might count 'likes' on a post, or the number of visits of a video.
According to my calculations using cloud firestore this value can not grow more than 8 millions per day
With Cloud Firestore and Distributed counter I can have (at most) :
1 write/second * 100 == 100 writes per second.
1 day = 86.400 seconds
86.400 * 100 = 8.640.000
( 100 : Limit maximum depth of subcollections)
How can this limit be exceeded for an application with many users?
Thanks you
firebase firebase-realtime-database google-cloud-firestore asked Nov 12 at 9:33
John
225
Many realtime apps have documents that act as counters. For example, you might count 'likes' on a post, or the number of visits of a video.
According to my calculations using cloud firestore this value can not grow more than 8 millions per day
With Cloud Firestore and Distributed counter I can have (at most) :
1 write/second * 100 == 100 writes per second.
1 day = 86.400 seconds
86.400 * 100 = 8.640.000
( 100 : Limit maximum depth of subcollections)
How can this limit be exceeded for an application with many users?
Thanks you
firebase firebase-realtime-database google-cloud-firestore firebase firebase-realtime-database google-cloud-firestore asked Nov 12 at 9:33
John
225
asked Nov 12 at 9:33
John
225
asked Nov 12 at 9:33
John
225
asked Nov 12 at 9:33
John
225
asked Nov 12 at 9:33
John
225
225
You can also take a look at the last part of my answer from this post.
– Alex Mamo
Nov 12 at 16:35
add a comment |
You can also take a look at the last part of my answer from this post.
– Alex Mamo
Nov 12 at 16:35
You can also take a look at the last part of my answer from this post.
– Alex Mamo
Nov 12 at 16:35
You can also take a look at the last part of my answer from this post.
– Alex Mamo
Nov 12 at 16:35
add a comment |
1 Answer
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A proposed solution is explained in the documentation. You can shard the counter among multiple documents.
Or, you could count with some other storage mechanism (such as Realtime Database) that doesn't have same write limitations as Firestore.
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
add a comment |
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A proposed solution is explained in the documentation. You can shard the counter among multiple documents.
Or, you could count with some other storage mechanism (such as Realtime Database) that doesn't have same write limitations as Firestore.
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
add a comment |
A proposed solution is explained in the documentation. You can shard the counter among multiple documents.
Or, you could count with some other storage mechanism (such as Realtime Database) that doesn't have same write limitations as Firestore.
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
add a comment |
A proposed solution is explained in the documentation. You can shard the counter among multiple documents.
Or, you could count with some other storage mechanism (such as Realtime Database) that doesn't have same write limitations as Firestore.
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
A proposed solution is explained in the documentation. You can shard the counter among multiple documents.
Or, you could count with some other storage mechanism (such as Realtime Database) that doesn't have same write limitations as Firestore.
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
answered Nov 12 at 16:14
Doug Stevenson
69.2k880101
69.2k880101
add a comment |
add a comment |
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You can also take a look at the last part of my answer from this post.
– Alex Mamo
Nov 12 at 16:35