Power Query in Excel does not have a built-in feature that directly generates a detailed performance report with all the specific metrics you've mentioned. However, you can utilize the following approaches to diagnose and optimize Power Query performance:
- Query Diagnostics: Power Query provides query diagnostics that can help you analyze performance. You can access diagnostics to see how long each step takes, which can help identify any steps that are taking a significant amount of time. This information can be found in the Query Diagnostics section of Power Query.
- Performance Counters: You can also run performance counters that give insights into resource utilization during query execution, including processor time and memory usage. This information can help you understand how your queries are impacting system resources.
- Best Practices: Following best practices can help optimize query performance. For example, performing expensive operations last, working against a subset of your data, and ensuring that you are leveraging query folding where possible can significantly improve performance.
- Manual Analysis: While there isn't an automated script to provide all the metrics you listed, you can manually check the number of columns, rows, dependent queries, and steps in each query through the Power Query editor.
- Optimization Suggestions: If you notice any steps taking a long time, consider revising those steps. For instance, if a sort operation is taking too long, try filtering data first to reduce the dataset size before sorting.
By combining these approaches, you can gather insights into your Power Query performance and identify areas for optimization.