Hi All, As of today Drill does not handle overflow detection and does not report that was an overflow to users, instead we just return results that are incorrect. This issue has been discussed (but not in detail) in the past.
It would be great if Drill also handled overflow detection in data of type (int, bigint etc) like other existing DBMSs do. Users will not want to see incorrect/wrong results, instead an error that informs users that there was an overflow will make more sense. Here is an example of one such query that returns incorrect results as compared to Postgres. Difference in results (related to overflow detection problem), col1 is of type BIGINT {noformat} 0: jdbc:drill:schema=dfs.tmp> SELECT col1, AVG(SUM(col1)) OVER ( PARTITION BY col7 ORDER BY col0 ) FROM `allTypsUniq.parquet` GROUP BY col0,col1,col7; +----------------------+--------------------------+ | col1 | EXPR$1 | +----------------------+--------------------------+ | 5000 | 5000.0 | | 9223372036854775807 | -4.6116860184273853E18 | | 65534 | -3.0744573456182349E18 | | -1 | -2.30584300921367629E18 | | 1 | -1.84467440737094093E18 | | 17 | -1.53722867280911744E18 | | 1000 | -1.31762457669352909E18 | | 200 | -1.15292150460683802E18 | | 4611686018427387903 | -5.1240955760303514E17 | | 1001 | -4.6116860184273152E17 | | 30 | -4.1924418349339232E17 | | -65535 | -65535.0 | | 10000000 | 4967232.5 | | 0 | 3311488.3333333335 | | 13 | 2483619.5 | | 23 | 1986900.2 | | 9999999 | 3322416.6666666665 | | 197 | 2847813.8571428573 | | 9223372036854775806 | -1.1529215046043552E18 | | 92233720385475807 | -1.01457092404992947E18 | | 25 | -9.1311383164493645E17 | | 3000 | -8.3010348331357837E17 | +----------------------+--------------------------+ 22 rows selected (0.46 seconds) {noformat} Results from Postgres {noformat} postgres=# SELECT col1, AVG(SUM(col1)) OVER ( PARTITION BY col7 ORDER BY col0 ) FROM fewrwspqq_101 GROUP BY col0,col1,col7; col1 | avg ---------------------+----------------------- 5000 | 5000.0000000000000000 9223372036854775807 | 4611686018427390404 65534 | 3074457345618282114 -1 | 2305843009213711585 1 | 1844674407370969268 17 | 1537228672809141060 1000 | 1317624576693549623 200 | 1152921504606855945 4611686018427387903 | 1537228672809137273 1001 | 1383505805528223646 30 | 1257732550480203317 -65535 | -65535.000000000000 10000000 | 4967232.500000000000 0 | 3311488.333333333333 13 | 2483619.500000000000 23 | 1986900.200000000000 9999999 | 3322416.666666666667 197 | 2847813.857142857143 9223372036854775806 | 1152921504609338813 92233720385475807 | 1035067306362242923 25 | 931560575726018634 3000 | 846873250660017212 (22 rows) {noformat} Thanks, Khurram