We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi!
Can you share with me situations where the functions Table.Buffer is recommended? Or some scenarios, you used this function successfully.
Hi, if you need to use the same table multiple times in your data transformation process, buffering it can save processing time (better performance) by loading the data into memory once and then referencing it multiple times.
For example when joining large tables, buffering the larger table can be beneficial to avoid unnecessary data refreshes during the join operation:
In this example, before using the main table for merging, we have first buffered it to expedite the merge process. By buffering the table, the merge operation becomes faster due to reduced data retrieval and improved in-memory processing efficiency.
Of course it has other applications as well.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 5 | |
| 3 | |
| 3 | |
| 2 | |
| 2 |
| User | Count |
|---|---|
| 10 | |
| 8 | |
| 7 | |
| 7 | |
| 5 |