According to the docs, theres a default limit of 100 queues created from queue.yaml (https://cloud.google.com/tasks/docs/queue-yaml#quotas). Is there a way to increase from this limit?
I've looked through the quotas page already and couldn't find anything that looks related.
Related
I was reading the documentation at:
http://woocommerce.github.io/woocommerce-rest-api-docs/
I am trying to figure out the limits for the API for the following methods
$woocommerce->get products/tags
$woocommerce->get products/categories
$woocommerce->get products/categories
$woocommerce->post products/tags
$woocommerce->post products/batch
For these methods I want to know how many items I can get or save at once. (Batch save for example I want to save 50 at a time; or for getting products I want to get 50 at a time (per page))
Also I am trying to figure out best practices to use less resources on both consumer of the API and receiver of API. Right now in development I have them both on the same machine and the fan really gets going on my laptop
The majority of work is done in products/batch. I am sending almost 4k items in batches of 50.
I know a service that uses WooCommerce says that their API calls are rate-limited by IP to 86400 calls per day (one per second on average).
That is their service so implies you can go same or higher for WooCommerce
Source: https://github.com/Paymium/api-documentation#rate-limiting
Google Cloud billing is not updating with the free trial (on monthly payments) and I can not change it to a faster update cycle. As per https://cloud.google.com/free-trial/docs/billing-during-free-trial the bill should come every month.
It is therefore not easy to see how much of the 300$ is left.
Is there any way to at least see how many TBs my queries used? This should be by far the biggest item on the bill.
I am concerned that I might get 'stuck' between some important queries that I otherwise could have managed better to have at least partial results available after the trial ends.
BigQuery analysis & storage costs should be listed under your GCP billing transactions:
https://console.cloud.google.com/billing/<INSERT_YOUR_BILLING_ID_HERE>/history?e=13803970,13803205
Another way to see how much you have queried is by enabling audit logging as described here.
When using https://www.linkedin.com/countserv/count/share?format=json&url= to access an article's sharecount, is there an api daily limit?
We noticed that the time it was taking to retrieve count data was taking as much as 20 seconds on our production server. We added logic to cache the number of counts, and the 20 second delay stopped the next day. We are left wondering though what the limit might be (we can't seem to find it in your documentation).
Anyone know the max leads limit for importing leads in bulk using the REST API?
There is no predefined limit for the number of leads that can be imported through the Import Lead REST API endpoint. But there is a file size limit of 10MB in place that does act as the relevant limit in this case. So the number of leads that can be imported goes down, as you increase the number of fields/attributes per lead.
I updated the Marketo API documentation to clarify this.
As I am not coming close to 100000 queries per day I am assuming that Google is referring to the Freebase 10 requests per second per user limit. (I am passing in my Goggle Key)
If i am running a query that crosses multiple Freebase domains is that considered more than one request? Or is a single query considered one request regardless of it size?
thanks
Scott
Yes, it sounds like you're exceeding the per/second rate limit. You'll need to introduce some delays in your application so that you don't exceed the limit. The rate limit only applies to HTTP requests so you can query as much data as you like as long as it fits in one request.