Summary

In this chapter, we learned about the TPC-DS benchmark and the TPC-DS dataset. We learned how to generate TPC-DS data at any scale. Then, we learned how to execute the automated TPC-DS benchmark suites in the spark-sql-perf library in our Databricks workspace. Finally, we discussed the various ways in which TPC-DS data can be used to test the performance-boosting features of Databricks SQL.

With this, we have come to the end of the primary topics of this book on Databricks SQL. I am sure that you still have some questions. Hence, in the next chapter, we will go through some of the most commonly asked questions about Databricks SQL!