does anyone happen to know why the BigQuery API would be listed twice in the APIs & Services Dashboard in Google Clout Platform?
BigQuery seems to be functioning properly I just thought it was strange this is the only API that seems to be listed twice.. I don't think it could be enabled twice as both the links lead to the same overview page and all the metrics are the same.
Duplicate Bigquery API listed in dashboard
This behavior is apparently caused by the fact that bigquery-json.googleapis.com is an alias for bigquery.googleapis.com.
The BigQuery engineering team is aware of this issue and are working on resolving it. All further updates should occur on this Public report.
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I’m running API Manager 3.0 along with API Manager Analytics. My Analytics cluster is a single-node deployment. Using only a few dashboard widgets to monitor some APIs.
I’m facing intermittent outage of the analytics dashboard and dashboard homepage goes blank sometimes. What could be the possible reason for the same?
I don't see any errors in the log.
In my opinion, this has something to with your backend MSSSQL database. Microsoft SQL has the common issue of unrealistic growth of temp db specially when the same instance being used for multiplee applications.
You can try below options:
Try truncating MSSQL databases using below guides [1]
How do you truncate all tables in a database using TSQL?
Alternatively try to purge Analytics data as well and free some up space by removing historical data [2] https://apim.docs.wso2.com/en/3.0.0/learn/analytics/purging-analytics-data/
I am trying to add segments to my AWS Appflow that is pulling Google Analytics data.
This is because I am running into Sampling problems(Google Analytics summarizes a lot of the data and makes analysis impossible)
I can add date range filters, but even with that set the minimum, I am still in need of breaking the requests down further via segmenting. But I can not find any support articles or places online that have done similar.
I have used the Google Analytics API by itself without appflow and been able to get all the data without it sampling, but need to do something similar using appflow.
What is the correct way to add segments to a Google Analytics Appflow
Thanks in advance for any help
I have a Books API project, and the GCP shows "No data is available for the selected time frame" for the last 30 days. This message appears on both the "Metrics" and "Quotas" pages. See screenshots below.
Clearly there is data, which I can see via my app analytics reports.
Any suggestions on how to fix it?
UPDATE 1:
Following are some points that were missing on the original post:
The Google Books API is used by an iOS app, which is available on the App Store and widely used across many iOS devices (iPhone and iPads) in many countries.
There are thousands of iOS devices running my app so the Google Books API calls are invoked from thousands of endpoints with different locations and different IPs. All endpoints are using the same API_KEY.
The Google Books API calls are performed successfully from the iOS devices and there is no API issue (I can clearly see that using analytics tool).
The only issue I have, is with GCP console not showing the number of the API calls (and other metrics) associated with my API_KEY. As you can see in the previous screenshots, I get "No data is available for the selected time frame" anywhere.
This is a regression issue since until recently I could successfully view the actual data of the API usage. I didn't change anything in this period.
When going to GCP > IAM & Admin > Quotas, you can clearly see that the app indeed consumes API calls (see screenshot below).
Any suggestion why would the GCP console tell that no data is available, while data is indeed available?
As the documentation [1], Google Books respects copyright, contract, and other legal restrictions associated with the end user's location. As a result, some users might not be able to access book content from certain countries. For example, certain books are "previewable" only in the United States; we omit such preview links for users in other countries. Therefore, the API results are restricted based on your server or client application's IP address.
On the other hand, I hope link [2] could be helpful for you which seems similar to the issue you are facing. Also, documentation [3] [4] could be helpful for us to have more information about books API to use in the Google Cloud Platform.
[1] https://developers.google.com/books/docs/v1/using#UserLocation
[2] Google books api always returns nothing
[3] https://developers.google.com/books/docs/v1/using
[4] https://developers.google.com/books/docs/v1/getting_started
Is there any way to programmatically get data similar to APIs overview of Google CLoud dashboard. Specifically, I'm interested in the list of APIs enabled for the project and their usage/error stats for some predefined timeframe. I belive there's an API for that but I struggle to find it.
There's currently no API that gives you a report similar to the one you can see through the Google Cloud Console.
The Compute API can retrieve some quotas with the get method but it's somewhat limited (only Compute Engine quotas) and, for what I understood from your question, not quite what you're looking for.
However, I've found in Google's Issue Tracker a feature request that's close to what you're asking for.
If you would need something more specific or want to do the feature request yourself, check the "Report feature requests" documentation and create your own. The GCP team will take a look at it to evaluate and consider implementation.
Google Spanner monitor provides helpful information about databases and instance. Operation per seconds view contains errors(combined) measure that is not clear for me.
How to understand errors(combined)?
You can make a dashboard in Stackdriver (https://app.google.stackdriver.com) that will break down the errors slightly. We're working on a resources page for Cloud Spanner right now that will actually break them down by error code, but before that, you can go to Resources > Metrics Explorer and filter by response status:
You'll occasionally get error responses using the Cloud Spanner API; FAILED_PRECONDITION is somewhat common if you have a lot of transactions happening simultaneously that invalidate other transactions.