This document helps you choose the appropriate type of Pub/Sub subscription suited to your business requirements.
Pub/Sub offers the following types of subscriptions:
Pull subscriptions use a subscriber client to request messages from the Pub/Sub server.
Push subscriptions use the Pub/Sub server to initiate requests to your subscriber application to deliver messages.
Export subscriptions export your messages directly to a Cloud de Confiance by S3NS resource. These subscriptions include the following:
BigQuery subscriptions export data to a BigQuery table.
Cloud Storage subscriptions export data to a Cloud Storage bucket.
Pub/Sub subscription comparison table
The following table offers some guidance in choosing the appropriate delivery mechanism for your application:
| Features supported by Pub/Sub subscriptions | ||
|---|---|---|
| Use case | Pull subscription |
|
| Push subscription |
|
|
| Export subscription |
|
|
| Endpoints | Pull subscription | Any device on the internet that has authorized credentials can call the Pub/Sub API. |
| Push subscription |
An HTTPS server with non-self-signed certificate accessible on the public web. The receiving endpoint might be decoupled from the Pub/Sub subscription, so that messages from multiple subscriptions are sent to a single endpoint. |
|
| Export subscription | The subscription writes to a Cloud de Confiance resource, such as a BigQuery table or Cloud Storage bucket. | |
| Load balancing | Pull subscription | Multiple subscribers can make pull calls to the same subscription. Each subscriber receives a subset of messages. |
| Push subscription |
Push endpoints can be load balancers. |
|
| Export subscription |
The Pub/Sub service automatically balances the load. |
|
| Configuration | Pull subscription |
No configuration is necessary. |
| Push subscription |
|
|
| Export subscription | The Cloud de Confiance resource that the subscription exports to must exist and be configured with the appropriate permissions. | |
| Flow control | Pull subscription | The subscriber client controls the rate of delivery. The subscriber can dynamically modify the acknowledgment deadline, allowing message processing to take an arbitrarily long time. |
| Push subscription | The Pub/Sub server automatically implements flow control. Clients don't need to handle message flow. However, it's possible to indicate that the client can't handle the current message load, by passing back an HTTP error. | |
| Export subscription | Pub/Sub automatically implements flow control to optimize writing messages to the destination Cloud de Confiance resource. | |
| Efficiency and throughput | Pull subscription | Achieves high throughput at low CPU and bandwidth by allowing batched delivery, acknowledgments, and massively parallel consumption. Might be inefficient if frequent polling is used to minimize message delivery time. |
| Push subscription | Delivers one message per request and limits the maximum number of outstanding messages. | |
| Export subscription | Pub/Sub dynamically handles scalability. | |
When to use an export subscription
Without an export subscription, you need a pull or push subscription and a subscriber (such as Dataflow) to read messages and write them to a Cloud de Confiance resource. The overhead of running a Dataflow job is not necessary when messages don't require additional processing before being stored.
Export subscriptions have the following advantages:
Simple deployment. You can set up an export subscription through a single workflow in the console, Cloud de Confiance by S3NS CLI, client library, or Pub/Sub API.
Low costs. Reduces the additional cost and latency of similar Pub/Sub pipelines that include Dataflow jobs. This cost optimization is useful for messaging systems that don't require additional processing before storage.
Minimal monitoring. Export subscriptions are part of the multi-tenant Pub/Sub service and don't require you to run separate monitoring jobs.
Flexibility. A BigQuery subscription can use the schema of the topic to which it is attached, which is not available with the basic Dataflow template for writing from Pub/Sub to BigQuery. Similarly, a Cloud Storage subscription offers configurable file batching options based on file size and elapsed time, which are not configurable in the basic Dataflow template for writing from Pub/Sub to Cloud Storage.
However, a Dataflow pipeline is still recommended for Pub/Sub systems where some data transformation is required before the data is stored in a Cloud de Confiance resource such as a BigQuery table or Cloud Storage bucket.
To learn how to stream data from Pub/Sub to BigQuery with transformation by using Dataflow, see Stream from Pub/Sub to BigQuery.
To learn how to stream data from Pub/Sub to Cloud Storage with transformation by using Dataflow, see Stream messages from Pub/Sub by using Dataflow.
What's next
Understand the workflow for each subscription type: