Vespa Product Updates, January 2021

In January 2021, Vespa, an open-source big data processing and serving engine developed largely by Yahoo engineers, introduced several product updates aimed at enhancing its performance and usability. These updates include automatic reindexing, which allows Vespa to automatically reprocess stored data when the indexing pipeline changes, eliminating the need for data re-feed and improving application relevance. Additionally, sparse tensor dot product performance was optimized, reducing latency by 64% and tripling query throughput for specific tests. Query profile variant initialization was also accelerated, loading configurations 10 times faster in complex scenarios. A new explainlevel query parameter was introduced, enabling detailed tracing of query execution for debugging purposes. Furthermore, system testing can now be invoked from pull requests, ensuring that all checks, especially those involving config models and dependency injections, are thoroughly validated before integration. Vespa is used in various Yahoo and Verizon Media products, and thanks to community feedback, it continues to evolve.

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