History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"buzzwords"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1080 | 2025-12-25 18:22:15 | buzzwords | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 1079 | 2025-12-24 22:57:53 | buzzwords | 3 | 148641 | 11 | 6.546 | 22707.1 |
| 1078 | 2025-12-23 00:37:44 | buzzwords | 3 | 148641 | 11 | 22.376 | 6642.9 |
| 1077 | 2025-12-20 17:53:36 | buzzwords | 2 | 121436 | 3 | 17.486 | 6944.8 |
| 1076 | 2025-12-20 16:30:25 | buzzwords | 4 | 165329 | 93 | 17.956 | 9207.5 |
| 1075 | 2025-12-20 16:30:15 | buzzwords | 4 | 165329 | 93 | 11.813 | 13995.5 |
| 1074 | 2025-12-19 23:07:07 | buzzwords | 4 | 165329 | 93 | 53.386 | 3096.9 |
| 1073 | 2025-12-19 11:18:52 | buzzwords | 3 | 148641 | 11 | 24.186 | 6145.7 |
| 1072 | 2025-12-18 16:26:41 | buzzwords | 3 | 148641 | 11 | 6.500 | 22867.8 |
| 1071 | 2025-12-18 14:31:36 | buzzwords | 2 | 121436 | 3 | 3.110 | 39046.9 |
| 1070 | 2025-12-18 02:09:11 | buzzwords | 2 | 121436 | 3 | 5.016 | 24209.7 |
| 1069 | 2025-12-17 16:51:49 | buzzwords | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 1068 | 2025-12-17 16:47:12 | buzzwords | 5 | 174418 | 793 | 21.486 | 8117.8 |
| 1067 | 2025-12-17 16:47:01 | buzzwords | 5 | 174418 | 793 | 19.830 | 8795.7 |
| 1066 | 2025-12-16 23:40:10 | buzzwords | 3 | 148641 | 11 | 6.766 | 21968.8 |
| 1065 | 2025-12-16 20:07:45 | buzzwords | 2 | 121436 | 3 | 17.720 | 6853.0 |
| 1064 | 2025-12-16 19:46:49 | buzzwords | 5 | 174418 | 793 | 20.343 | 8573.9 |
| 1063 | 2025-12-16 16:47:33 | buzzwords | 2 | 121436 | 3 | 3.750 | 32382.9 |
| 1062 | 2025-12-15 23:55:25 | buzzwords | 3 | 148641 | 11 | 6.953 | 21378.0 |
| 1061 | 2025-12-15 17:51:55 | buzzwords | 4 | 165329 | 93 | 11.236 | 14714.2 |
| 1060 | 2025-12-15 11:39:15 | buzzwords | 3 | 148641 | 11 | 5.890 | 25236.2 |
| 1059 | 2025-12-14 18:53:11 | buzzwords | 4 | 165329 | 93 | 11.393 | 14511.5 |
| 1058 | 2025-12-14 16:34:37 | buzzwords | 3 | 148641 | 11 | 8.046 | 18473.9 |
| 1057 | 2025-12-13 19:37:39 | buzzwords | 4 | 165329 | 93 | 18.296 | 9036.3 |
| 1056 | 2025-12-12 07:59:00 | buzzwords | 3 | 148641 | 11 | 18.800 | 7906.4 |
| 1055 | 2025-12-12 07:16:42 | buzzwords | 4 | 165329 | 93 | 19.546 | 8458.5 |
| 1054 | 2025-12-11 22:26:09 | buzzwords | 2 | 121436 | 3 | 3.393 | 35790.2 |
| 1053 | 2025-12-11 21:55:00 | buzzwords | 4 | 165329 | 93 | 39.380 | 4198.3 |
| 1052 | 2025-12-11 19:55:14 | buzzwords | 4 | 165329 | 93 | 10.800 | 15308.2 |
| 1051 | 2025-12-11 05:52:44 | buzzwords | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 1050 | 2025-12-09 02:32:56 | buzzwords | 1 | 81242 | 2 | 1.236 | 65729.8 |
| 1049 | 2025-12-07 15:09:42 | buzzwords | 4 | 165329 | 93 | 12.093 | 13671.5 |
| 1048 | 2025-11-26 14:49:59 | buzzwords | 5 | 174418 | 793 | 20.923 | 8336.2 |
| 1047 | 2025-11-25 17:47:34 | buzzwords | 5 | 174418 | 793 | 50.046 | 3485.2 |
| 1046 | 2025-11-25 15:37:28 | buzzwords | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 1045 | 2025-11-24 09:49:31 | buzzwords | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 1044 | 2025-11-23 14:31:25 | buzzwords | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 1043 | 2025-11-23 06:45:44 | buzzwords | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 1042 | 2025-11-14 02:37:48 | buzzwords | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 1041 | 2025-11-08 16:50:26 | buzzwords | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 1040 | 2025-11-08 04:53:26 | buzzwords | 1 | 81242 | 2 | 1.343 | 60492.9 |
| 1039 | 2025-11-06 13:13:39 | buzzwords | 5 | 174418 | 793 | 16.016 | 10890.2 |
| 1038 | 2025-11-04 16:25:47 | buzzwords | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 1037 | 2025-11-03 09:36:00 | buzzwords | 5 | 174418 | 793 | 29.170 | 5979.4 |
| 1036 | 2025-11-02 20:09:34 | buzzwords | 5 | 174418 | 793 | 25.673 | 6793.8 |
| 1035 | 2025-10-29 17:04:46 | buzzwords | 5 | 174418 | 793 | 17.140 | 10176.1 |
| 1034 | 2025-10-29 04:04:58 | buzzwords | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 1033 | 2025-10-25 16:17:33 | buzzwords | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 1032 | 2025-10-19 03:03:02 | buzzwords | 4 | 165329 | 93 | 10.000 | 16532.9 |
| 1031 | 2025-10-18 22:38:50 | buzzwords | 5 | 174418 | 793 | 19.126 | 9119.4 |
| 1030 | 2025-10-17 11:53:06 | buzzwords | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 1029 | 2025-10-17 11:03:53 | buzzwords | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 1028 | 2025-10-12 03:41:12 | buzzwords | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 1027 | 2025-10-11 19:06:23 | buzzwords | 3 | 148641 | 11 | 6.670 | 22285.0 |
| 1026 | 2025-10-11 13:28:14 | buzzwords | 2 | 121436 | 3 | 3.393 | 35790.2 |
| 1025 | 2025-10-10 03:06:39 | buzzwords | 4 | 165329 | 93 | 9.643 | 17145.0 |
| 1024 | 2025-10-07 03:48:17 | buzzwords | 2 | 121436 | 3 | 3.796 | 31990.5 |
| 1023 | 2025-10-06 18:52:04 | buzzwords | 3 | 148641 | 11 | 6.766 | 21968.8 |
| 1022 | 2025-10-06 18:51:47 | buzzwords | 4 | 165329 | 93 | 11.500 | 14376.4 |
| 1021 | 2025-09-28 07:34:49 | buzzwords | 1 | 81242 | 2 | 1.456 | 55798.1 |
| 1020 | 2025-09-27 04:01:40 | buzzwords | 1 | 81242 | 2 | 1.356 | 59913.0 |
| 1019 | 2025-09-19 15:37:11 | buzzwords | 1 | 81242 | 2 | 1.580 | 51419.0 |
| 1018 | 2025-09-06 18:42:00 | buzzwords | 1 | 81242 | 2 | 1.330 | 61084.2 |
| 1017 | 2025-09-06 10:55:37 | buzzwords | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 1016 | 2025-09-06 04:08:15 | buzzwords | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 1015 | 2025-08-30 12:20:21 | buzzwords | 5 | 174418 | 793 | 15.500 | 11252.8 |
| 1014 | 2025-08-28 06:40:04 | buzzwords | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 1013 | 2025-08-25 03:48:06 | buzzwords | 1 | 81242 | 2 | 6.250 | 12998.7 |
| 1012 | 2025-08-19 16:26:12 | buzzwords | 1 | 81242 | 2 | 5.610 | 14481.6 |
| 1011 | 2025-08-17 15:50:35 | buzzwords | 5 | 174418 | 793 | 67.473 | 2585.0 |
| 1010 | 2025-08-13 09:51:30 | buzzwords | 5 | 174418 | 793 | 75.753 | 2302.5 |
| 1009 | 2025-08-11 21:22:38 | buzzwords | 1 | 81242 | 2 | 2.720 | 29868.4 |
| 1008 | 2025-08-09 19:50:03 | buzzwords | 5 | 174418 | 793 | 64.333 | 2711.2 |
| 1007 | 2025-08-07 13:34:52 | buzzwords | 5 | 174418 | 793 | 58.426 | 2985.3 |
| 1006 | 2025-07-30 06:17:35 | buzzwords | 5 | 174418 | 793 | 38.956 | 4477.3 |
| 1005 | 2025-07-30 02:27:04 | buzzwords | 5 | 174418 | 793 | 42.130 | 4140.0 |
| 1004 | 2025-07-29 15:02:19 | buzzwords | 5 | 174418 | 793 | 40.346 | 4323.1 |
| 1003 | 2025-07-27 06:32:28 | buzzwords | 5 | 174418 | 793 | 63.080 | 2765.0 |
| 1002 | 2025-07-25 03:53:32 | buzzwords | 1 | 81242 | 2 | 5.906 | 13755.8 |
| 1001 | 2025-07-24 20:53:32 | buzzwords | 1 | 81242 | 2 | 4.046 | 20079.6 |
| 1000 | 2025-07-24 10:52:55 | buzzwords | 1 | 81242 | 2 | 5.110 | 15898.6 |
| 999 | 2025-07-23 17:39:01 | buzzwords | 5 | 174418 | 793 | 93.490 | 1865.6 |
| 998 | 2025-06-20 05:43:54 | buzzwords | 1 | 81242 | 2 | 10.343 | 7854.8 |
| 997 | 2025-06-18 12:52:00 | buzzwords | 1 | 81242 | 2 | 3.440 | 23616.9 |
| 996 | 2025-06-11 07:10:40 | buzzwords | 2 | 121436 | 3 | 19.186 | 6329.4 |
| 995 | 2025-06-11 07:01:27 | buzzwords | 3 | 148641 | 11 | 18.220 | 8158.1 |
| 994 | 2025-06-09 14:52:32 | buzzwords | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 993 | 2025-06-02 09:27:17 | buzzwords | 5 | 174418 | 793 | 72.176 | 2416.6 |
| 992 | 2025-06-01 15:48:15 | buzzwords | 5 | 174418 | 793 | 24.110 | 7234.3 |
| 991 | 2025-05-30 21:41:36 | buzzwords | 5 | 174418 | 793 | 80.583 | 2164.5 |
| 990 | 2025-05-29 16:56:27 | buzzwords | 5 | 174418 | 793 | 71.803 | 2429.1 |
| 989 | 2025-05-29 12:25:24 | buzzwords | 3 | 148641 | 11 | 39.283 | 3783.9 |
| 988 | 2025-05-29 07:07:56 | buzzwords | 4 | 165329 | 93 | 29.550 | 5594.9 |
| 987 | 2025-05-23 16:26:06 | buzzwords | 1 | 81242 | 2 | 4.610 | 17623.0 |
| 986 | 2025-05-22 14:06:20 | buzzwords | 1 | 81242 | 2 | 3.593 | 22611.2 |
| 985 | 2025-05-02 16:22:09 | buzzwords | 4 | 165329 | 93 | 55.923 | 2956.4 |
| 984 | 2025-04-13 19:53:57 | buzzwords | 4 | 165329 | 93 | 59.860 | 2761.9 |
| 983 | 2025-04-09 16:07:16 | buzzwords | 4 | 165329 | 93 | 54.080 | 3057.1 |
| 982 | 2025-04-06 06:59:53 | buzzwords | 4 | 165329 | 93 | 45.360 | 3644.8 |
| 981 | 2025-04-06 06:47:09 | buzzwords | 4 | 165329 | 93 | 40.753 | 4056.9 |