Sum Measure gives random value easch process

radek64 0 Reputation points
2023-03-23T15:57:39.9066667+00:00

Hi, I have a problem where a measure gives me random values every process without changing any data in table.

The same field I use has stored the value I use in attribue and measure. The dimension value is ok while the measure value is random. THe measure is the same field with just a sum aggregation no MDX script here. Any idea?

SQL Server Analysis Services
SQL Server Analysis Services
A Microsoft online analytical data engine used in decision support and business analytics, providing the analytical data for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization tools.
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  1. Amira Bedhiafi 28,536 Reputation points
    2023-07-31T15:13:50.82+00:00

    If you are experiencing random values in a measure without any changes to the underlying data or the MDX script, there are a few possible reasons for this behavior. Let's explore some common causes and potential solutions:

    Analysis Services (SSAS) uses a caching mechanism to improve performance. If the cache is not refreshed appropriately, it might return outdated or random values. Ensure that the cache is configured correctly, and consider refreshing it to see if the issue persists.

    Check if any non-deterministic functions are used in the measure definition. Non-deterministic functions return different results each time they are called, even with the same input. If you have any such functions in your measure, consider changing them to deterministic ones or reevaluating the logic to avoid randomness.

    Review the partitioning and aggregation design of the measure. If the measure aggregates over different partitions with inconsistent data, it can lead to varying results. Ensure that the partitions are aligned properly with the underlying data and there are no overlapping or missing ranges.

    If your measure depends on time-related data (e.g., running totals, rolling averages), it might produce varying results based on the current date. Ensure that the time-dependent logic is working correctly and consistently.

    Double-check the data integrity of the underlying data source. Random values might indicate data corruption or anomalies. Validate that the data in the source table is accurate and consistent.

    If your SSAS instance uses multi-threading for query processing, there could be a race condition that leads to random results. Temporarily disabling multi-threading can help identify if it's the cause of the issue.

    Even though you mentioned there are no MDX script changes, it's still worth double-checking the MDX calculations or query logic related to the measure. Sometimes, even small changes in other parts of the cube or query can impact the measure results.

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