US 12,174,819 B2
Compacted table data files validation
Sandeep Gottimukkala, Santa Clara, CA (US); Nitin Motiani, Santa Clara, CA (US); and Prateek Gaur, San Jose, CA (US)
Assigned to ThoughtSpot, Inc., Mountain View, CA (US)
Filed by ThoughtSpot, Inc., Mountain View, CA (US)
Filed on Apr. 17, 2023, as Appl. No. 18/301,453.
Application 18/301,453 is a division of application No. 17/444,078, filed on Jul. 30, 2021, granted, now 11,657,032.
Prior Publication US 2023/0252016 A1, Aug. 10, 2023
Int. Cl. G06F 16/23 (2019.01); G06F 16/22 (2019.01)
CPC G06F 16/2358 (2019.01) [G06F 16/221 (2019.01); G06F 16/2255 (2019.01); G06F 16/2282 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method for database replay log compaction verification, comprising:
replaying a first replay log to generate a rut replay result, wherein replaying the first replay log comprises:
determining that a first field is not utilized as a condition in at least one database command included in the first replay log, and
in response to determining that the first field is not utilized as a condition in the at least one database command included in the first replay log, replacing, in the first replay result, a rust value of the first field included in a first database command in the rust replay log with a first hash value;
replaying a second replay log to generate a second replay result; and
comparing the rust replay result and the second replay result to verify that the first replay log and the second replay log are equivalent.