Users complain that a report page loads slowly. The page includes a table visual that shows 50 columns and tens of thousands of rows. You capture a Performance Analyzer trace and observe the following for the table visual: DAX query = 120 ms, Visual display = 4 200 ms, Other = 20 ms. Which action is most likely to significantly improve performance?
Disable the Auto date/time option in the report to shrink the hidden model metadata.
Rewrite the measure used by the visual to replace CALCULATE with an iterator function such as SUMX.
Convert all bidirectional relationships in the model to single-direction filters to shorten query execution.
Replace the detailed table with a summarized visual or reduce the number of displayed columns and rows.
Performance Analyzer shows that almost all the time is spent in the Visual display phase, not in executing the DAX query. Visual display time reflects how long Power BI needs to render the visual after data is returned. When this figure is high, the usual fix is to lessen the rendering burden-for example by reducing the number of columns or rows returned, changing the visual type, or aggregating the data. Re-coding measures, altering relationship directions, or disabling Auto date/time would not materially affect rendering overhead because they target the data-model or query phases, which are already fast in this scenario.
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What does the Visual display time in Performance Analyzer represent?
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Why doesn't rewriting measures or altering relationships help improve Visual display time?
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How does reducing the number of columns or rows improve rendering performance?
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