History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"suboptimum"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 211 | 2025-09-02 03:49:10 | suboptimum | 5 | 173545 | 113 | 17.826 | 9735.5 |
| 210 | 2025-09-02 02:01:57 | suboptimum | 5 | 173545 | 113 | 15.563 | 11151.1 |
| 209 | 2025-08-29 21:52:17 | suboptimum | 4 | 161450 | 11 | 10.376 | 15559.9 |
| 208 | 2025-08-29 21:50:03 | suboptimum | 3 | 140603 | 5 | 5.716 | 24598.1 |
| 207 | 2025-08-29 21:47:02 | suboptimum | 2 | 108824 | 2 | 2.970 | 36641.1 |
| 206 | 2025-08-09 11:46:34 | suboptimum | 1 | 67641 | 1 | 4.470 | 15132.2 |
| 205 | 2025-08-01 13:29:43 | suboptimum | 1 | 67641 | 1 | 2.640 | 25621.6 |
| 204 | 2025-07-25 08:17:02 | suboptimum | 1 | 67641 | 1 | 4.923 | 13739.8 |
| 203 | 2025-07-24 19:21:00 | suboptimum | 1 | 67641 | 1 | 3.503 | 19309.4 |
| 202 | 2025-07-24 11:14:45 | suboptimum | 1 | 67641 | 1 | 3.110 | 21749.5 |
| 201 | 2025-07-19 09:40:46 | suboptimum | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 200 | 2025-05-06 21:48:49 | suboptimum | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 199 | 2025-05-06 21:29:44 | suboptimum | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 198 | 2025-05-03 09:24:45 | suboptimum | 1 | 67641 | 1 | 2.156 | 31373.4 |
| 197 | 2025-03-29 03:13:00 | suboptimum | 3 | 140603 | 5 | 33.063 | 4252.6 |
| 196 | 2025-03-26 12:42:17 | suboptimum | 1 | 67641 | 1 | 6.266 | 10794.9 |
| 195 | 2025-03-10 00:53:41 | suboptimum | 3 | 140603 | 5 | 23.016 | 6108.9 |
| 194 | 2025-03-10 00:53:38 | suboptimum | 2 | 108824 | 2 | 14.233 | 7645.9 |
| 193 | 2025-03-10 00:52:26 | suboptimum | 1 | 67641 | 1 | 3.250 | 20812.6 |
| 192 | 2025-02-24 17:02:26 | suboptimum | 1 | 67641 | 1 | 7.580 | 8923.6 |
| 191 | 2025-02-16 03:58:26 | suboptimum | 2 | 108824 | 2 | 13.580 | 8013.5 |
| 190 | 2025-02-16 03:55:36 | suboptimum | 1 | 67641 | 1 | 4.516 | 14978.1 |
| 189 | 2025-02-11 08:12:15 | suboptimum | 3 | 140603 | 5 | 43.300 | 3247.2 |
| 188 | 2025-02-07 00:11:43 | suboptimum | 3 | 140603 | 5 | 31.656 | 4441.6 |
| 187 | 2025-01-30 11:19:56 | suboptimum | 3 | 140603 | 5 | 34.830 | 4036.8 |
| 186 | 2025-01-30 11:19:56 | suboptimum | 2 | 108824 | 2 | 11.766 | 9249.0 |
| 185 | 2025-01-30 11:18:20 | suboptimum | 1 | 67641 | 1 | 6.436 | 10509.8 |
| 184 | 2025-01-22 01:01:56 | suboptimum | 1 | 67641 | 1 | 5.486 | 12329.7 |
| 183 | 2025-01-11 10:14:33 | suboptimum | 2 | 108824 | 2 | 21.703 | 5014.2 |
| 182 | 2025-01-11 10:13:15 | suboptimum | 1 | 67641 | 1 | 2.720 | 24868.0 |
| 181 | 2025-01-06 10:56:25 | suboptimum | 3 | 140603 | 5 | 41.033 | 3426.6 |
| 180 | 2025-01-04 04:19:26 | suboptimum | 1 | 67641 | 1 | 5.530 | 12231.6 |
| 179 | 2024-12-31 08:31:54 | suboptimum | 2 | 108824 | 2 | 12.876 | 8451.7 |
| 178 | 2024-12-31 08:31:00 | suboptimum | 1 | 67641 | 1 | 6.343 | 10663.9 |
| 177 | 2024-12-15 05:49:34 | suboptimum | 4 | 161450 | 11 | 74.506 | 2166.9 |
| 176 | 2024-12-15 05:49:21 | suboptimum | 3 | 140603 | 5 | 30.706 | 4579.0 |
| 175 | 2024-12-12 11:01:17 | suboptimum | 1 | 67641 | 1 | 8.110 | 8340.4 |
| 174 | 2024-12-09 03:12:43 | suboptimum | 4 | 161450 | 11 | 86.570 | 1865.0 |
| 173 | 2024-12-09 03:12:46 | suboptimum | 3 | 140603 | 5 | 15.906 | 8839.6 |
| 172 | 2024-12-09 03:12:38 | suboptimum | 2 | 108824 | 2 | 15.016 | 7247.2 |
| 171 | 2024-12-09 03:12:15 | suboptimum | 4 | 161450 | 11 | 35.626 | 4531.8 |
| 170 | 2024-12-09 02:01:10 | suboptimum | 1 | 67641 | 1 | 1.310 | 51634.4 |
| 169 | 2024-12-03 04:57:04 | suboptimum | 1 | 67641 | 1 | 5.796 | 11670.3 |
| 168 | 2024-11-16 06:06:02 | suboptimum | 3 | 140603 | 5 | 16.186 | 8686.7 |
| 167 | 2024-11-08 14:05:59 | suboptimum | 4 | 161450 | 11 | 60.990 | 2647.2 |
| 166 | 2024-11-08 14:06:00 | suboptimum | 3 | 140603 | 5 | 42.473 | 3310.4 |
| 165 | 2024-11-08 14:05:33 | suboptimum | 4 | 161450 | 11 | 53.816 | 3000.0 |
| 164 | 2024-11-08 14:06:04 | suboptimum | 2 | 108824 | 2 | 14.813 | 7346.5 |
| 163 | 2024-11-08 14:03:33 | suboptimum | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 162 | 2024-11-04 08:57:17 | suboptimum | 1 | 67641 | 1 | 3.453 | 19589.1 |
| 161 | 2024-11-03 23:43:00 | suboptimum | 1 | 67641 | 1 | 5.326 | 12700.2 |
| 160 | 2024-10-22 21:05:56 | suboptimum | 3 | 140603 | 5 | 29.110 | 4830.1 |
| 159 | 2024-10-22 21:05:57 | suboptimum | 2 | 108824 | 2 | 23.846 | 4563.6 |
| 158 | 2024-10-22 21:04:44 | suboptimum | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 157 | 2024-10-22 17:06:48 | suboptimum | 2 | 108824 | 2 | 17.266 | 6302.8 |
| 156 | 2024-10-22 17:00:54 | suboptimum | 1 | 67641 | 1 | 8.093 | 8358.0 |
| 155 | 2024-10-04 15:58:43 | suboptimum | 3 | 140603 | 5 | 38.376 | 3663.8 |
| 154 | 2024-09-22 17:40:53 | suboptimum | 3 | 140603 | 5 | 37.190 | 3780.7 |
| 153 | 2024-09-22 17:40:57 | suboptimum | 2 | 108824 | 2 | 21.326 | 5102.9 |
| 152 | 2024-09-22 17:40:01 | suboptimum | 3 | 140603 | 5 | 49.753 | 2826.0 |
| 151 | 2024-09-22 17:40:07 | suboptimum | 3 | 140603 | 5 | 25.033 | 5616.7 |
| 150 | 2024-09-22 17:38:41 | suboptimum | 1 | 67641 | 1 | 7.203 | 9390.7 |
| 149 | 2024-09-20 23:50:29 | suboptimum | 3 | 140603 | 5 | 48.126 | 2921.6 |
| 148 | 2024-09-20 23:50:29 | suboptimum | 2 | 108824 | 2 | 22.190 | 4904.2 |
| 147 | 2024-09-20 23:49:40 | suboptimum | 1 | 67641 | 1 | 6.670 | 10141.1 |
| 146 | 2024-08-26 05:20:51 | suboptimum | 1 | 67641 | 1 | 6.313 | 10714.6 |
| 145 | 2024-08-19 16:32:29 | suboptimum | 3 | 140603 | 5 | 63.050 | 2230.0 |
| 144 | 2024-08-19 15:05:25 | suboptimum | 1 | 67641 | 1 | 11.643 | 5809.6 |
| 143 | 2024-08-18 19:53:26 | suboptimum | 1 | 67641 | 1 | 8.533 | 7927.0 |
| 142 | 2024-08-11 11:06:07 | suboptimum | 3 | 140603 | 5 | 18.236 | 7710.2 |
| 141 | 2024-08-11 11:06:14 | suboptimum | 2 | 108824 | 2 | 5.296 | 20548.3 |
| 140 | 2024-08-11 11:00:01 | suboptimum | 1 | 67641 | 1 | 5.126 | 13195.7 |
| 139 | 2024-07-19 00:19:39 | suboptimum | 1 | 67641 | 1 | 4.296 | 15745.1 |
| 138 | 2024-07-19 00:17:47 | suboptimum | 1 | 67641 | 1 | 1.720 | 39326.2 |
| 137 | 2024-07-16 15:34:36 | suboptimum | 4 | 161450 | 11 | 36.220 | 4457.5 |
| 136 | 2024-07-13 14:26:03 | suboptimum | 4 | 161450 | 11 | 53.346 | 3026.5 |
| 135 | 2024-07-10 22:37:38 | suboptimum | 4 | 161450 | 11 | 21.126 | 7642.2 |
| 134 | 2024-07-10 21:29:52 | suboptimum | 1 | 67641 | 1 | 4.406 | 15352.0 |
| 133 | 2024-07-10 21:20:58 | suboptimum | 1 | 67641 | 1 | 6.220 | 10874.8 |
| 132 | 2024-07-07 02:16:44 | suboptimum | 1 | 67641 | 1 | 3.106 | 21777.5 |
| 131 | 2024-07-04 12:07:36 | suboptimum | 4 | 161450 | 11 | 39.750 | 4061.6 |
| 130 | 2024-07-02 02:05:49 | suboptimum | 4 | 161450 | 11 | 37.063 | 4356.1 |
| 129 | 2024-07-01 03:18:38 | suboptimum | 4 | 161450 | 11 | 42.690 | 3781.9 |
| 128 | 2024-07-01 03:16:25 | suboptimum | 2 | 108824 | 2 | 13.033 | 8349.9 |
| 127 | 2024-07-01 03:16:19 | suboptimum | 1 | 67641 | 1 | 1.906 | 35488.5 |
| 126 | 2024-06-27 20:51:06 | suboptimum | 2 | 108824 | 2 | 10.206 | 10662.7 |
| 125 | 2024-06-27 20:50:30 | suboptimum | 1 | 67641 | 1 | 3.986 | 16969.6 |
| 124 | 2024-06-26 11:02:19 | suboptimum | 4 | 161450 | 11 | 59.490 | 2713.9 |
| 123 | 2024-06-26 11:02:17 | suboptimum | 3 | 140603 | 5 | 22.283 | 6309.9 |
| 122 | 2024-06-19 15:33:37 | suboptimum | 4 | 161450 | 11 | 40.753 | 3961.7 |
| 121 | 2024-06-19 15:33:34 | suboptimum | 3 | 140603 | 5 | 24.986 | 5627.3 |
| 120 | 2024-06-19 15:33:22 | suboptimum | 4 | 161450 | 11 | 32.503 | 4967.2 |
| 119 | 2024-06-19 15:33:36 | suboptimum | 2 | 108824 | 2 | 15.750 | 6909.5 |
| 118 | 2024-06-16 17:16:31 | suboptimum | 3 | 140603 | 5 | 20.923 | 6720.0 |
| 117 | 2024-06-16 17:16:33 | suboptimum | 3 | 140603 | 5 | 16.063 | 8753.2 |
| 116 | 2024-06-16 17:16:25 | suboptimum | 3 | 140603 | 5 | 22.253 | 6318.4 |
| 115 | 2024-06-16 17:16:31 | suboptimum | 2 | 108824 | 2 | 10.390 | 10473.9 |
| 114 | 2024-06-11 15:19:16 | suboptimum | 4 | 161450 | 11 | 50.813 | 3177.3 |
| 113 | 2024-06-11 15:18:47 | suboptimum | 3 | 140603 | 5 | 33.796 | 4160.3 |
| 112 | 2024-06-03 08:29:48 | suboptimum | 1 | 67641 | 1 | 1.153 | 58665.2 |