This document lists the quotas and limits that apply to Dataform.
Google Cloud uses quotas to help ensure fairness and reduce spikes in resource use and availability. A quota restricts how much of a Google Cloud resource your Google Cloud project can use. Quotas apply to a range of resource types, including hardware, software, and network components. For example, quotas can restrict the number of API calls to a service, the number of load balancers used concurrently by your project, or the number of projects that you can create. Quotas protect the community of Google Cloud users by preventing the overloading of services. Quotas also help you to manage your own Google Cloud resources.
The Cloud Quotas system does the following:
- Monitors your consumption of Google Cloud products and services
- Restricts your consumption of those resources
- Provides a means to request changes to the quota value
In most cases, when you attempt to consume more of a resource than its quota allows, the system blocks access to the resource, and the task that you're trying to perform fails.
Quotas generally apply at the Google Cloud project level. Your use of a resource in one project doesn't affect your available quota in another project. Within a Google Cloud project, quotas are shared across all applications and IP addresses.
There are also limits on Dataform resources. These limits are unrelated to the quota system. Limits cannot be changed unless otherwise stated.
Quota replenishment
Daily quotas are replenished at regular intervals throughout the day, reflecting their intent to guide rate limiting behaviors. Intermittent refresh is also done to avoid long disruptions when quota is exhausted. More quota is typically made available within minutes rather than globally replenished once daily.
Request a quota increase
To increase or decrease most quotas, use the Google Cloud console. For more information, see Request a higher quota.
Cap quota usage
To learn how you can limit usage of a particular resource by specifying a smaller quota than the default, see Cap usage.
Required permissions
To view and update your Dataform quotas in the Google Cloud console, you need the same permissions as for any Google Cloud quota. For more information, see Quota permissions.
Troubleshooting
For information about troubleshooting errors related to Dataform quotas and limits, see Troubleshooting.
Dataform quotas
Dataform has the following API quotas:
| Quotas | Limit |
|---|---|
| Total requests per project, per region | 6000/minute/project/region |
| Compilation requests per project, per region | 120/minute/project/region |
| File access requests per project, per region | 120/minute/project/region |
| Package installation requests per project, per region | 120/minute/project/region |
| Workflow invocation requests per project, per region | 60/minute/project/region |
| Workflow actions per execution | 5000 |
Quotas for services used by Dataform
Dataform uses other Google Cloud services. These services have project-level quotas, which apply when you use Dataform.
Dataform uses the following Google Cloud services that have their own quota limits:
Dataform compilation resources limits
Dataform enforces the following usage limits on compilation resources:
| Usage limit | Value |
|---|---|
| Maximum number of actions per repository compilation | 5000 |
| Maximum number of dependencies per action in the compiled graph | 50 |
| Maximum total serialized data size of the compiled graph of actions | 20 MB |
| Maximum size of NPM dependencies | 200 MB |
Additionally, Dataform imposes limits on CPU and memory use during compilation. If these limits are exceeded when you compile your code, the compilation fails and Dataform throws a compilation error.
To estimate the compilation resources usage of your repository, see Estimate compilation resources usage of your repository.
Your repository might exceed the usage limits for the following reasons:
- An infinite loop bug in the repository code.
- A memory leak bug in the repository code.
- Large repository size, approximately more than 1000 SQL workflow nodes.
- Large number of concurrent queries.
For more information about repository size in Dataform, see
Overview of repository size.