History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"purchases"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1066 | 2026-02-14 19:29:26 | purchases | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 1065 | 2026-02-14 09:41:58 | purchases | 1 | 81242 | 5 | 6.533 | 12435.6 |
| 1064 | 2026-02-07 08:26:06 | purchases | 1 | 81242 | 5 | 1.890 | 42985.2 |
| 1063 | 2026-02-06 10:18:50 | purchases | 1 | 81242 | 5 | 2.686 | 30246.5 |
| 1062 | 2026-02-04 18:07:03 | purchases | 1 | 81242 | 5 | 1.393 | 58321.6 |
| 1061 | 2026-02-04 08:29:29 | purchases | 1 | 81242 | 5 | 1.466 | 55417.5 |
| 1060 | 2026-02-01 17:14:32 | purchases | 1 | 81242 | 5 | 1.483 | 54782.2 |
| 1059 | 2026-02-01 14:42:12 | purchases | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 1058 | 2026-02-01 14:19:00 | purchases | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 1057 | 2026-02-01 00:50:37 | purchases | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 1056 | 2026-01-19 16:37:10 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1055 | 2026-01-16 16:06:38 | purchases | 3 | 148641 | 56 | 50.330 | 2953.3 |
| 1054 | 2026-01-16 16:06:50 | purchases | 3 | 148641 | 56 | 27.046 | 5495.9 |
| 1053 | 2026-01-16 10:24:55 | purchases | 3 | 148641 | 56 | 19.140 | 7766.0 |
| 1052 | 2026-01-14 12:39:38 | purchases | 3 | 148641 | 56 | 15.873 | 9364.4 |
| 1051 | 2026-01-14 12:39:30 | purchases | 3 | 148641 | 56 | 22.033 | 6746.3 |
| 1050 | 2026-01-11 11:22:15 | purchases | 2 | 121436 | 7 | 7.813 | 15542.8 |
| 1049 | 2026-01-11 06:25:36 | purchases | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 1048 | 2026-01-10 16:08:23 | purchases | 2 | 121436 | 7 | 3.186 | 38115.5 |
| 1047 | 2026-01-09 06:05:24 | purchases | 1 | 81242 | 5 | 1.420 | 57212.7 |
| 1046 | 2026-01-07 00:42:52 | purchases | 2 | 121436 | 7 | 3.656 | 33215.5 |
| 1045 | 2026-01-06 15:34:56 | purchases | 1 | 81242 | 5 | 1.420 | 57212.7 |
| 1044 | 2026-01-06 15:33:53 | purchases | 1 | 81242 | 5 | 3.156 | 25742.1 |
| 1043 | 2026-01-06 07:00:46 | purchases | 1 | 81242 | 5 | 2.796 | 29056.5 |
| 1042 | 2026-01-04 21:55:40 | purchases | 3 | 148641 | 56 | 7.190 | 20673.3 |
| 1041 | 2026-01-04 14:20:43 | purchases | 1 | 81242 | 5 | 4.533 | 17922.3 |
| 1040 | 2026-01-04 14:20:27 | purchases | 1 | 81242 | 5 | 3.173 | 25604.2 |
| 1039 | 2026-01-02 23:54:30 | purchases | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 1038 | 2026-01-01 01:47:28 | purchases | 1 | 81242 | 5 | 1.343 | 60492.9 |
| 1037 | 2025-12-31 21:17:27 | purchases | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 1036 | 2025-12-31 19:58:36 | purchases | 4 | 165329 | 512 | 11.796 | 14015.7 |
| 1035 | 2025-12-31 08:14:56 | purchases | 1 | 81242 | 5 | 2.876 | 28248.3 |
| 1034 | 2025-12-24 10:18:08 | purchases | 3 | 148641 | 56 | 6.750 | 22020.9 |
| 1033 | 2025-12-12 03:09:22 | purchases | 3 | 148641 | 56 | 12.300 | 12084.6 |
| 1032 | 2025-12-11 23:02:59 | purchases | 4 | 165329 | 512 | 19.923 | 8298.4 |
| 1031 | 2025-12-11 20:56:49 | purchases | 4 | 165329 | 512 | 13.016 | 12702.0 |
| 1030 | 2025-12-11 04:15:12 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1029 | 2025-12-09 14:40:17 | purchases | 1 | 81242 | 5 | 1.376 | 59042.2 |
| 1028 | 2025-12-02 17:12:11 | purchases | 1 | 81242 | 5 | 1.373 | 59171.2 |
| 1027 | 2025-12-01 00:19:03 | purchases | 4 | 165329 | 512 | 11.016 | 15008.1 |
| 1026 | 2025-11-29 20:42:47 | purchases | 1 | 81242 | 5 | 5.016 | 16196.6 |
| 1025 | 2025-11-22 19:34:55 | purchases | 3 | 148641 | 56 | 14.910 | 9969.2 |
| 1024 | 2025-11-21 02:24:40 | purchases | 1 | 81242 | 5 | 2.546 | 31909.7 |
| 1023 | 2025-11-14 04:50:46 | purchases | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 1022 | 2025-11-14 03:04:04 | purchases | 1 | 81242 | 5 | 1.456 | 55798.1 |
| 1021 | 2025-11-14 01:12:31 | purchases | 4 | 165329 | 512 | 12.110 | 13652.3 |
| 1020 | 2025-11-12 07:53:56 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1019 | 2025-11-09 17:35:08 | purchases | 4 | 165329 | 512 | 12.533 | 13191.5 |
| 1018 | 2025-11-09 13:32:37 | purchases | 1 | 81242 | 5 | 1.390 | 58447.5 |
| 1017 | 2025-11-09 05:03:05 | purchases | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 1016 | 2025-11-08 11:41:19 | purchases | 4 | 165329 | 512 | 11.530 | 14339.0 |
| 1015 | 2025-11-07 04:13:44 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 1014 | 2025-11-06 20:55:02 | purchases | 4 | 165329 | 512 | 19.873 | 8319.3 |
| 1013 | 2025-11-04 19:11:51 | purchases | 4 | 165329 | 512 | 20.813 | 7943.5 |
| 1012 | 2025-11-04 00:11:50 | purchases | 4 | 165329 | 512 | 10.923 | 15135.9 |
| 1011 | 2025-11-02 10:02:16 | purchases | 3 | 148641 | 56 | 7.596 | 19568.3 |
| 1010 | 2025-10-29 21:40:55 | purchases | 1 | 81242 | 5 | 1.436 | 56575.2 |
| 1009 | 2025-10-29 08:03:08 | purchases | 1 | 81242 | 5 | 2.673 | 30393.6 |
| 1008 | 2025-10-18 00:35:50 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 1007 | 2025-10-17 03:20:39 | purchases | 1 | 81242 | 5 | 1.423 | 57092.1 |
| 1006 | 2025-10-11 04:11:13 | purchases | 1 | 81242 | 5 | 1.283 | 63321.9 |
| 1005 | 2025-10-07 05:21:30 | purchases | 1 | 81242 | 5 | 1.513 | 53696.0 |
| 1004 | 2025-09-29 05:49:02 | purchases | 1 | 81242 | 5 | 3.030 | 26812.5 |
| 1003 | 2025-09-28 22:00:31 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1002 | 2025-09-28 14:25:21 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1001 | 2025-09-28 08:11:29 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 1000 | 2025-09-28 07:56:54 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 999 | 2025-09-16 03:18:34 | purchases | 1 | 81242 | 5 | 1.516 | 53589.7 |
| 998 | 2025-09-10 04:15:57 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 997 | 2025-09-06 14:21:37 | purchases | 1 | 81242 | 5 | 1.253 | 64838.0 |
| 996 | 2025-08-28 21:48:36 | purchases | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 995 | 2025-08-28 05:38:24 | purchases | 1 | 81242 | 5 | 1.470 | 55266.7 |
| 994 | 2025-08-19 14:18:02 | purchases | 1 | 81242 | 5 | 3.656 | 22221.6 |
| 993 | 2025-08-10 04:38:54 | purchases | 1 | 81242 | 5 | 3.203 | 25364.3 |
| 992 | 2025-08-05 10:46:24 | purchases | 1 | 81242 | 5 | 6.640 | 12235.2 |
| 991 | 2025-07-18 17:32:00 | purchases | 1 | 81242 | 5 | 7.046 | 11530.2 |
| 990 | 2025-07-14 17:19:52 | purchases | 2 | 121436 | 7 | 15.626 | 7771.4 |
| 989 | 2025-07-14 16:02:43 | purchases | 1 | 81242 | 5 | 6.686 | 12151.1 |
| 988 | 2025-07-14 10:08:39 | purchases | 3 | 148641 | 56 | 38.923 | 3818.8 |
| 987 | 2025-07-07 23:28:30 | purchases | 1 | 81242 | 5 | 6.703 | 12120.2 |
| 986 | 2025-07-07 07:02:07 | purchases | 1 | 81242 | 5 | 5.860 | 13863.8 |
| 985 | 2025-06-30 08:10:55 | purchases | 4 | 165329 | 512 | 60.286 | 2742.4 |
| 984 | 2025-06-28 05:30:20 | purchases | 1 | 81242 | 5 | 8.126 | 9997.8 |
| 983 | 2025-06-27 07:30:56 | purchases | 4 | 165329 | 512 | 47.143 | 3507.0 |
| 982 | 2025-06-25 00:20:19 | purchases | 4 | 165329 | 512 | 68.643 | 2408.5 |
| 981 | 2025-06-24 21:48:26 | purchases | 4 | 165329 | 512 | 66.243 | 2495.8 |
| 980 | 2025-06-24 10:54:29 | purchases | 4 | 165329 | 512 | 58.003 | 2850.4 |
| 979 | 2025-06-24 07:48:12 | purchases | 4 | 165329 | 512 | 67.690 | 2442.4 |
| 978 | 2025-06-22 11:35:29 | purchases | 4 | 165329 | 512 | 60.470 | 2734.1 |
| 977 | 2025-06-18 20:59:09 | purchases | 4 | 165329 | 512 | 11.450 | 14439.2 |
| 976 | 2025-06-07 23:14:55 | purchases | 1 | 81242 | 5 | 10.123 | 8025.5 |
| 975 | 2025-06-07 12:20:48 | purchases | 1 | 81242 | 5 | 1.440 | 56418.1 |
| 974 | 2025-06-06 06:38:25 | purchases | 1 | 81242 | 5 | 7.500 | 10832.3 |
| 973 | 2025-06-05 04:16:40 | purchases | 1 | 81242 | 5 | 10.313 | 7877.6 |
| 972 | 2025-06-02 06:56:49 | purchases | 1 | 81242 | 5 | 4.376 | 18565.4 |
| 971 | 2025-06-02 03:44:58 | purchases | 1 | 81242 | 5 | 6.860 | 11842.9 |
| 970 | 2025-05-29 05:08:57 | purchases | 4 | 165329 | 512 | 75.116 | 2201.0 |
| 969 | 2025-05-24 09:20:36 | purchases | 4 | 165329 | 512 | 57.063 | 2897.3 |
| 968 | 2025-05-22 15:08:59 | purchases | 1 | 81242 | 5 | 7.016 | 11579.5 |
| 967 | 2025-05-21 10:55:34 | purchases | 4 | 165329 | 512 | 31.596 | 5232.6 |