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SQL Server 2019 querying 1 trillion rows in 100 seconds
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We recently performed a performance test on a SQL Server 2019 instance running on a Windows Server 2016 running on an 8-Socket (224 cores, 12TB RAM and 200TB+ SSD storage) Lenovo Server (ThinkSystem SR950) using Intel Cascade Lake processors. We generated data and loaded a single table (LINEITEM, TPCH database schema with 145TB+ raw data). This table had 54TB compressed data with 1 Trillion+ rows. Q1 query (as defined by TPCH) which scans the whole table and selects nearly all the rows for computation was run in both cold (all data read from storage) and warm (data in memory) scenario. SQL Server 2019 was able to provide unparalleled performance processing over a trillion rows with the query completing in under 2 mins (107 secs) in warm cache and under 4 mins (238 secs) with all data read from storage. For the warm cache, this translates to processing over 6 billion rows/sec and read throughput of around 50GB/sec. You can find the Azure Data Studio Notebooks that showcase both scenarios on GitHub.
SQL Server 2019 querying 1 trillion rows in 100 seconds
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