# New fields are not visible in the joined dataset **URL:** \ **Category:** Q&A\ **Tags:** dashboard, business-user, dataset, data-connectors, data-integration\ **Created:** [November 11, 2025, 4:14pm UTC](https://community.amazonquick.com/t/new-fields-are-not-visible-in-the-joined-dataset/50500 "2025-11-11T16:14:37Z")\ **Posts on this page:** 1\ **Showing post:** 2
**Author:** ![Xclipse](https://d2orw1595917va.cloudfront.net/user_avatar/community.amazonquick.com/xclipse/32/20455_2.png) [@Xclipse](https://community.amazonquick.com/u/Xclipse)\ **Post date:** [November 11, 2025, 4:32pm UTC](https://community.amazonquick.com/t/new-fields-are-not-visible-in-the-joined-dataset/50500/2 "2025-11-11T16:32:41Z")
Hi @realhema Welcome to the Quick community! When using Direct Query datasets, data automatically refreshes when you open the associated dataset, analysis, or dashboard, and filter controls refresh every 24 hours. However, structural changes to the schema, such as adding new fields in the source dataset, are not always auto detected by Quick in joined datasets. To reflect schema changes like newly added fields, you need to manually edit the dataset to add fields and save it, do the same for the joined dataset. Quick caches metadata and requires you to refresh or edit the dataset to update its schema metadata. This can be done by manually editing the dataset in the dataset editor and including new fields. Please refer to the below documentation this might be helpful for you. > **[Refreshing data in Amazon Quick Sight - Amazon Quick Suite](https://docs.aws.amazon.com/quicksuite/latest/userguide/refreshing-data.html)** > > Import data into SPICE and refresh data in an analysis. > [@Questions about efficiency, costs and usage of Spice vs. Direct Query in Quick Sight](https://community.amazonquick.com/t/questions-about-efficiency-costs-and-usage-of-spice-vs-direct-query-in-quicksight/34325/2): > > Hi @ArthurMendes SPICE (Super-fast, Parallel, In-memory Calculation Engine) is Amazon Quick Sight’s in-memory engine designed for faster performance by preloading data. SPICE is more efficient for performance because it stores data in memory, resulting in low-latency queries and better scalability for large datasets. It’s cost-effective if your queries are run frequently and you want to avoid paying for every query separately. Direct Query connects to your data source in real-time, allowing u… --- _[View the full topic](https://community.amazonquick.com/t/new-fields-are-not-visible-in-the-joined-dataset/50500)._