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Shasta

2016pp. 1393–1404

Citations Over TimeTop 19% of 2016 papers

Gokul Nath Babu Manoharan, Stephan Ellner, Karl Schnaitter, Sridatta Chegu, Alejandro Estrella-Balderrama, Stephan Gudmundson, Apurv Gupta, Ben Handy, Bart Samwel, Chad Whipkey, Larysa Aharkava, Himani Apte, Nitin Gangahar, Jun Xu, Shivakumar Venkataraman, Divyakant Agrawal, Jeffrey D. Ullman

Abstract

We describe Shasta, a middleware system built at Google to support interactive reporting in complex user-facing applications related to Google's Internet advertising business. Shasta targets applications with challenging requirements: First, user query latencies must be low. Second, underlying transactional data stores have complex "read-unfriendly" schemas, placing significant transformation logic between stored data and the read-only views that Shasta exposes to its clients. This transformation logic must be expressed in a way that scales to large and agile engineering teams. Finally, Shasta targets applications with strong data freshness requirements, making it challenging to precompute query results using common techniques such as ETL pipelines or materialized views. Instead, online queries must go all the way from primary storage to user-facing views, resulting in complex queries joining 50 or more tables.

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