Environment Management
Hi All, In your OneStream implementation, how many environments do you have? Dev, UAT and Prod? Or do you also have Pre-Prod environment that is common in ERP systems? Also, in the UAT environment do you also have copy of data so that when testing happens or developers need to test the changes - there is enough sample data to test? Would you consider brininging data from Prod, randomize it and load into UAT env so that UAT env data at all intersections as Prod? Thanks!
Database space control policies
Hi! We are trying to control the size increase in our production application. We know the growth comes from: Stage tables that allow users to drill down and back onto source data. Data records Audit tables (they can grow a lots if they are recording continuous changes to rules, data for example) Logs which will impact Framework database growth (task activity and error logs, will vary depending on the detail login set in BR, DM and on the system configuration as well as your retention policy) Load transactional data, which will increate your data units and data records unnececarily, which BIBlend should be used for this type of data load instead of loading it to the finance cube. We have analyzed it and we realized the StageAttributeTable and other stage tables has a significant size. Has ayone performed databse maintenance by deleting data from the stage tables? Is it possible to do that while keeping the cube data intact and workflows completed? Any ideas or best practices regarding database maintenance would be very welcome. Regards, XaviUsing OneStream to Track Inflation and Related Metrics
Hi everyone, I’m interested in learning how other organizations are leveraging OneStream to track inflation and other account-related metrics. Currently, our approach involves using the Account dimension to explicitly separate inflation impacts for specific expense categories. For example: FOOD_BEV – Food & Beverage Expense INFL_FOOD_BEV – Inflation related to Food & Beverage Expense These inflation rates are externally calculated and loaded via XFD uploads. To support different reporting views, we load the data into three separate accounts: _PER – Monthly _QTR – Quarterly _ANN – Annual We also use a view dynamic account without a suffix, which adjusts based on the selected view. Exploring Alternative Approaches I’m considering whether using a User Defined (UD) dimension might offer more flexibility. For instance: Keep the account as FOOD_BEV Use the UD to switch between metrics like: "Dollars" (actuals/estimate) "Inflation" (loaded via XFD) "Per Guest" (dynamically calculated) "Pricing" (potentially another loaded or calculated metric) This method could streamline the structure and allow for more dynamic reporting, especially if inflation rates are only loaded monthly and calculated for QTD/YTD using weighted averages. Open to Ideas I’d love to hear how others are handling similar use cases. Are you using UD dimensions for this type of analysis? Are there better ways to structure inflation tracking in OneStream? Thanks in advance for sharing your insights! — Jeremy MorganReducing Table Size in OS – Need Advice
We're trying to reduce the size of a large table in OS (about 650GB). Our initial idea was to copy the rows to a new table and then rename it, but the insert process takes too long due to the size and ends up timing out. Deleting records from the table itself seems risky and take's similar duration. Has anyone dealt with something similar? Would appreciate any tips or suggestions for a faster and more efficient approach. Thank you!
Invalid Cube Name Error During Data Load
My colleagues in OneStream, have you seen this error before? Since this is the first time I’ve come across it in a standard load scenario with everything else validating, I thought I’d share here to compare notes. Any insights on what could be “behind” this error in practice would be really helpful for building a knowledge base around less common OneStream load errors. While running a data load in OneStream, I encountered an "Invalid Cube Name" error. What made this surprising is that all the usual suspects checked out fine: Workflow setup was validated. Data sources were reviewed. Transformation rules were checked. Rules on members who call cubes were also confirmed. Cube mappings looked correct. Despite all of these checks, the error still occurred. This message is unusual because it doesn’t typically appear if the metadata, cube structure, or mappings are aligned. In most cases, it points to something deeper in how OneStream is resolving the cube context for the workflow profile or the entity being processed. Have you seen this error before on OneStream? ( Invalid Cube Name Error During Data Load) CheersBI Blend Table - What is the significance of sEntity?
I just created a BI Blend table and when I open the file using a data adapter, I see the data unit and aggregation fields all have an extract column prefixed with "s" (i.e., sEntity, sScenario, sAccount, sUD1, etc.). What do these columns represent?
OneStream 9.0 file explorer error
Hello, I installed OS 9.0 on premise version recently and I am having the following error when I try to upload a file: You can find below the error details: Unable to load file.An error has occurred. BadRequest. User Interface Stack Trace: at OneStream.Client.Api.FileExplorerServiceReference.FileExplorerServiceClient.UploadFileFromStream(XFFileTransferRequest request) at OneStream.Client.Api.FileExplorerServiceReference.FileExplorerServiceClient.<>c__DisplayClass370_0.<BeginUploadFileFromStream>b__0() at System.Threading.ExecutionContext.RunFromThreadPoolDispatchLoop(Thread threadPoolThread, ExecutionContext executionContext, ContextCallback callback, Object state) --- End of stack trace from previous location --- at System.Threading.ExecutionContext.RunFromThreadPoolDispatchLoop(Thread threadPoolThread, ExecutionContext executionContext, ContextCallback callback, Object state) at System.Threading.Tasks.Task.ExecuteWithThreadLocal(Task& currentTaskSlot, Thread threadPoolThread) Do you know what is the cause of this issue? Thank you in advance. Antony
Spreadsheet tool in v8.5 - does it work?
Trying to confirm if the spreadsheet tool in v8.5 is working for anyone in the following manner... Created dashboard with the spreadsheet tool. The page renders fine... However, when doing something as simple as Save As, the following message is generated. Excel file is defined in the configuration. One client mentioned this, so I tested this on another client with the same results. Heard this is fixed in v9.0. Is this correct or am I missing something? Thanks for any input! Ed PuenteSmarter Data Loading: How OneStream Transformation Rules Automatically Handle New Members
In the world of Enterprise Performance Management (EPM), clean and accurate dimensional mapping is essential for a reliable reporting process. Fortunately, OneStream makes this easier through its robust Transformation Rule framework, which intelligently handles new dimension members automatically. Whether it's a new GL account, cost center, or entity, OneStream’s transformation engine ensures that new data doesn’t derail your process, even before user intervention. 🔍 Key Benefits Dynamic Member Detection When a new source member enters the system—say, a newly created account in the ERP—OneStream flags it immediately as “Not Mapped” in the staging area. This provides the user or administrator with a clear indication that attention is required. Mapping can then be quickly added or adjusted to keep data flowing seamlessly. Centralized and Flexible Maintenance Transformation rules support Wildcard and Dynamic Mapping, making it easy to set default routes for unknown members (e.g., directing all new accounts to a placeholder for Unmapped Accounts). From there, consultants or admins can reassign the correct mappings when ready. This approach provides control without interrupting the load process. Built-In Mapping Validation There’s no need to build dashboards or manual reports to detect mapping issues. OneStream’s Data Source and Transformation Rule editors include built-in validation tools to identify unmapped or incorrectly mapped items before they affect results. This enables early detection, faster resolution, and reduces dependence on visual checks. ✅ Why This Matters By leveraging these out-of-the-box capabilities, organizations save time, reduce risk, and streamline their integration workflows. Consultants can focus on higher-value tasks instead of constantly updating mappings, and end users can trust that data loads will highlight issues automatically, before reporting is impacted. Please keep it simple. Do you agree that OneStream handles what it's built to do?
