The query engine is more likely to distribute a query that processes a large number of rows than those that require fewer resources.
This task includes two scripts that load and query a significant amount of sample data (10 million rows). The first script creates and loads a Fact table and a Dimension table. The second script runs a query that fetches 3 rows, and generates a query plan in the coordinator and write server directories.