Blog author here. This post discusses how we use our git for data product, Dolt, to store test results, and how this lets us use SQL queries to analyze test reg

Blog author here. This post discusses how we use our git for data product, Dolt, to store test results, and how this lets us use SQL queries to analyze test regressions on our 6M+ test query dataset. Example: dolt_sql_performance> select nightly.query_string, nightly.error_message -> from nightly_dolt_results nightly join releases_dolt_results release -> on nightly.test_file = release.test_file and nightly.line_num = releases.line_num -> where nightly.result = 'not ok' and release.result='ok' limit 1; +-------------------------------------------------------------------------------------------------------------------------------+---------------------------------------+ | query_string | error_message | +-------------------------------------------------------------------------------------------------------------------------------+---------------------------------------+ | SELECT * FROM tab0 WHERE - + 63 IN ( col3, - col3 * col1 + + ( + + col4 ), 67 * col3 + - + CAST( - col1 AS DECIMAL ) + col0 ) | Unexpected error invalid type: string | +-------------------------------------------------------------------------------------------------------------------------------+---------------------------------------+