Forum Replies Created

  • Absolutely! From my own experience, I ran into a similar issue as you are dealing with right now. My problem was that I had forgotten to enable the host header in my request. There’s an easy fix though – just head over to the headers tab and make sure the host header is enabled. If you can’t spot the default headers there, there will be a button you can click to make the default headers visible. Once you’ve done this, you should be all set!

  • Sure, the provided SQL query does two primary things – it shows the previous and next page that each user visited and it identifies the entry and exit points for each user session.

    We’re sorting events by their timestamp per unique user session. For each page view event, we get the previous and next page path.

    If there’s no previous page path for a page view event, it means that event is where the user entered, so we label this as ‘(entrance)’. If there’s no next page path for a page view event, it means the user exited at this event, so we label this as ‘(exit)’.

    So with this query, you can identify the users’ navigation patterns and their entry and exit points in your app or website.

  • The error message is telling you that there’s a mismatch between the metrics and dimensions you’re trying to pull in via the Google Analytics Data API. In this case, the specific problem is with “pagePathPlusQueryString”. This likely means that “pagePathPlusQueryString” cannot be used in conjunction with the other metrics and dimensions you’re trying to pull. To fix this issue, try removing “pagePathPlusQueryString” from your request. Otherwise, you could look for an alternative to “pagePathPlusQueryString” that is compatible with the other metrics and dimensions you’re trying to retrieve.

  • Sure thing! The data limit you’re hitting is most likely the cap Google Analytics 360 sets for daily BigQuery exports. To ship more data, you could consider breaking up your data and sending it across multiple GA 360 properties, or use a real-time export to Cloud Pub/Sub before feeding it into BigQuery. Just be aware, these might incur additional costs!

  • To troubleshoot the issue, please check the following points. First, ensure that the account linked to the service file you’re using has proper permissions to access the data you’re attempting to pull. If not you might need to grant the necessary access. Secondly, verify your JSON format since malformed JSON could cause exceptions.

    Additionally, make sure your service file is in the correct location and being correctly referenced in your code. If the “scopes” config doesn’t make any difference, it might not be the problem. It could be due to an error with the client creation process or an issue with the Google API’s themselves.

    Finally, closely examine the error message you’re getting. It’s often quite informative and can tell you whether it’s an authorization issue, an issue with reaching the Google servers, or some other problem entirely. In some cases, the issue could be with environment specific settings such as PHP version or specific dependencies not being met. If all else fails, contacting Google support could result in further help.