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  1. Confluence Cloud
  2. CONFCLOUD-65459

Pages with too much content will timeout while trying to be rendered

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      Issue Summary

      In Confluence, when a page has a lot of content (e.g. macros, information from macros, attachments and a lot of images), the page will take some time to render, but, indeed, either it will not be rendered, or, a timeout like the following will be displayed:

      Error: GraphQL error: Timeout error querying the remote graphql service.
      

      Steps to Reproduce

      1. In Confluence, make sure to create a page that will have a lot of content to be rendered. Specific examples could be related to the User list macro when trying to retrieve the users from a (default, mostly) group with a lot of users (like 2000).
      2. If there are no errors saving the content, try to publish the page.

      Expected Results

      The page should render properly, or, after a while, have the content rendering properly.

      Actual Results

      The page will take a while to load, and eventually, it will fail with a message like above, or, simply not have the content rendering, with only errors from the browser's console.

      Notes

      Reports and tests come typically from the following scenarios:

      • Pages using multiple Jira issues macro separately, or, using a JQL that will retrieve a lot of content.
      • Using the user-list macro with default groups like confluence-users when having a lot of users.
      • Blog Posts macro when using the parameter to show all the content of the blog and having a lot of blogs on the instance
      • Multiple "Excerpt-includes" macros on the page.
      • Multiple "Expand" macros on the page
      • Content by label macros with a lot of pages to be rendered

      Workaround

      Split the content of the pages into multiple pages, or, use a simple view method from macros that allow so, like the "Blog Posts" macro.

              amacheret Andrew Macheret
              gdecampos Giuliano C.
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                Created:
                Updated:
                Resolved: