Test the Ride Sharing Dataset

When you execute your first query, Varada begins learning your workload and accelerates the datasets accordingly, so that upcoming queries are accelerated.

To see the query acceleration details go to the Query Steam and select the query line. In this example, you can see that 100% of the query was accelerated by Varada. For more details see here.

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The Varada Impact visualization shown above are supported when deploying Varada as a connector only if the cluster is connected to the Varada Control Center.

You should expect an acceleration of up to X40 for this set of queries when comparing the performance of the Varada catalog to that of the Hive catalog used by the Vanilla Trino Query Engine.

You can toggle between the catalogs to test performance.

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The following syntax examples assume that you created the tables under the trips_data_sample schema.

To run the queries on the Hive catalog, first run:

use hive.trips_data_sample;

To run the queries on the Varada catalog, first run:

use varada.trips_data_sample;