Optimizing memory usage
Managing memory usage is vital for query optimization. Let’s consider an example where you’re dealing with a large dataset with repeated data. Instead of creating multiple copies of the same data, we can explore the Table.Buffer function.
This function loads a table into memory once, reducing memory duplication, which can lead to improved query speed, especially for large datasets with repeated data. This optimization can result in more efficient use of system resources and better overall performance during data transformation and analysis tasks.
On the other hand, though, there are some potential drawbacks to be aware of. One significant downside is that using Table.Buffer can actually slow down performance in certain scenarios.
One reason for this is that it loads the entire table into memory at once. For very large datasets, this can consume a significant amount of memory resources, potentially leading to memory pressure and slower...
