In data point graph, users can define a custom start and end date range to view the data. Multiple Data points are ingested from the device every 10 seconds.
When a large date range is selected (for example, the last one day), currently the data point graph is displaying “truncated data, change aggregation (or) select short date range” error. In such cases, What is the best way to handle it? what is the limit to display the data points and which aggregation should be set to avoid the truncated data error? Do I need to adjust the aggregation based on the frequency of the data (minutely for shorter range and hourly for long range)?
Hi @Vignesh_Babu,
Since the backend limit is 5,000 data points, high-frequency data (e.g., every 10 seconds) will exceed this limit for larger date ranges (e.g., ~8,640 points/day). The truncated data warning is shown when this limit is exceeded.
To handle this, you can apply aggregation based on both the selected date range and the data frequency. For example, with 10-second ingestion, minutely aggregation reduces a 1-day range to ~1,440 data points, which is well within limits and will be much more readable. So to answer the last question, yes it’s best to adjust the aggregation based on the frequency of the data. Feel free to ask me if you have any more questions.