History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"factorylike"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 233 | 2025-10-31 10:14:02 | factorylike | 4 | 148819 | 25 | 8.466 | 17578.4 |
| 232 | 2025-10-31 03:21:24 | factorylike | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 231 | 2025-10-29 02:08:02 | factorylike | 1 | 49908 | 1 | 0.846 | 58992.9 |
| 230 | 2025-10-11 07:40:58 | factorylike | 3 | 121633 | 3 | 5.216 | 23319.2 |
| 229 | 2025-09-17 18:03:52 | factorylike | 2 | 86808 | 1 | 2.796 | 31047.2 |
| 228 | 2025-09-14 17:13:46 | factorylike | 4 | 148819 | 25 | 9.516 | 15638.8 |
| 227 | 2025-09-11 22:27:07 | factorylike | 4 | 148819 | 25 | 8.610 | 17284.4 |
| 226 | 2025-09-10 19:36:21 | factorylike | 3 | 121633 | 3 | 9.656 | 12596.6 |
| 225 | 2025-09-10 18:33:07 | factorylike | 2 | 86808 | 1 | 2.200 | 39458.2 |
| 224 | 2025-09-06 08:32:21 | factorylike | 1 | 49908 | 1 | 0.873 | 57168.4 |
| 223 | 2025-08-17 00:43:04 | factorylike | 1 | 49908 | 1 | 2.266 | 22024.7 |
| 222 | 2025-08-09 04:37:35 | factorylike | 1 | 49908 | 1 | 3.376 | 14783.2 |
| 221 | 2025-07-25 09:24:36 | factorylike | 1 | 49908 | 1 | 1.656 | 30137.7 |
| 220 | 2025-07-24 23:53:29 | factorylike | 1 | 49908 | 1 | 1.313 | 38010.7 |
| 219 | 2025-07-24 17:10:33 | factorylike | 1 | 49908 | 1 | 1.826 | 27331.9 |
| 218 | 2025-07-24 00:27:22 | factorylike | 1 | 49908 | 1 | 4.110 | 12143.1 |
| 217 | 2025-05-28 20:37:16 | factorylike | 1 | 49908 | 1 | 2.500 | 19963.2 |
| 216 | 2025-04-28 12:05:38 | factorylike | 1 | 49908 | 1 | 3.983 | 12530.3 |
| 215 | 2025-04-11 12:54:10 | factorylike | 4 | 148819 | 25 | 44.096 | 3374.9 |
| 214 | 2025-03-24 04:49:44 | factorylike | 2 | 86808 | 1 | 17.170 | 5055.8 |
| 213 | 2025-03-22 22:15:16 | factorylike | 1 | 49908 | 1 | 3.470 | 14382.7 |
| 212 | 2025-03-21 21:16:42 | factorylike | 3 | 121633 | 3 | 6.266 | 19411.6 |
| 211 | 2025-03-21 18:48:14 | factorylike | 4 | 148819 | 25 | 41.190 | 3613.0 |
| 210 | 2025-03-20 12:43:50 | factorylike | 1 | 49908 | 1 | 3.656 | 13651.0 |
| 209 | 2025-03-18 03:39:58 | factorylike | 4 | 148819 | 25 | 39.383 | 3778.8 |
| 208 | 2025-03-18 03:39:45 | factorylike | 3 | 121633 | 3 | 24.800 | 4904.6 |
| 207 | 2025-03-18 03:39:45 | factorylike | 2 | 86808 | 1 | 11.580 | 7496.4 |
| 206 | 2025-03-18 03:38:55 | factorylike | 1 | 49908 | 1 | 2.253 | 22151.8 |
| 205 | 2025-03-17 12:49:11 | factorylike | 4 | 148819 | 25 | 68.133 | 2184.2 |
| 204 | 2025-03-10 19:44:17 | factorylike | 4 | 148819 | 25 | 55.956 | 2659.6 |
| 203 | 2025-03-08 05:20:49 | factorylike | 1 | 49908 | 1 | 3.060 | 16309.8 |
| 202 | 2025-03-07 04:39:27 | factorylike | 4 | 148819 | 25 | 37.280 | 3991.9 |
| 201 | 2025-02-20 22:52:33 | factorylike | 4 | 148819 | 25 | 43.830 | 3395.4 |
| 200 | 2025-02-20 22:52:28 | factorylike | 3 | 121633 | 3 | 21.800 | 5579.5 |
| 199 | 2025-02-20 22:51:58 | factorylike | 4 | 148819 | 25 | 49.596 | 3000.6 |
| 198 | 2025-02-20 22:52:26 | factorylike | 2 | 86808 | 1 | 6.546 | 13261.2 |
| 197 | 2025-02-20 22:51:12 | factorylike | 1 | 49908 | 1 | 3.610 | 13824.9 |
| 196 | 2025-02-02 15:47:18 | factorylike | 3 | 121633 | 3 | 24.800 | 4904.6 |
| 195 | 2025-02-02 15:47:16 | factorylike | 2 | 86808 | 1 | 17.703 | 4903.6 |
| 194 | 2025-02-02 15:46:46 | factorylike | 3 | 121633 | 3 | 26.593 | 4573.9 |
| 193 | 2025-02-02 15:46:34 | factorylike | 3 | 121633 | 3 | 37.140 | 3275.0 |
| 192 | 2025-02-02 15:45:07 | factorylike | 1 | 49908 | 1 | 4.626 | 10788.6 |
| 191 | 2025-02-01 21:10:28 | factorylike | 1 | 49908 | 1 | 4.013 | 12436.6 |
| 190 | 2025-01-19 02:46:16 | factorylike | 1 | 49908 | 1 | 3.910 | 12764.2 |
| 189 | 2025-01-11 14:32:47 | factorylike | 4 | 148819 | 25 | 50.860 | 2926.1 |
| 188 | 2025-01-11 14:32:59 | factorylike | 3 | 121633 | 3 | 35.426 | 3433.4 |
| 187 | 2025-01-11 14:33:00 | factorylike | 2 | 86808 | 1 | 12.736 | 6816.0 |
| 186 | 2025-01-11 14:28:19 | factorylike | 1 | 49908 | 1 | 0.720 | 69316.7 |
| 185 | 2025-01-08 15:56:22 | factorylike | 4 | 148819 | 25 | 50.080 | 2971.6 |
| 184 | 2025-01-02 02:47:35 | factorylike | 4 | 148819 | 25 | 49.846 | 2985.6 |
| 183 | 2025-01-02 02:47:46 | factorylike | 3 | 121633 | 3 | 27.063 | 4494.4 |
| 182 | 2025-01-02 02:47:48 | factorylike | 2 | 86808 | 1 | 17.860 | 4860.5 |
| 181 | 2025-01-02 02:46:01 | factorylike | 1 | 49908 | 1 | 1.920 | 25993.8 |
| 180 | 2025-01-01 17:38:18 | factorylike | 4 | 148819 | 25 | 33.423 | 4452.6 |
| 179 | 2024-12-25 11:09:47 | factorylike | 4 | 148819 | 25 | 65.723 | 2264.3 |
| 178 | 2024-12-25 11:09:48 | factorylike | 3 | 121633 | 3 | 19.596 | 6207.0 |
| 177 | 2024-12-25 11:09:49 | factorylike | 2 | 86808 | 1 | 11.906 | 7291.1 |
| 176 | 2024-12-25 11:06:28 | factorylike | 1 | 49908 | 1 | 3.143 | 15879.1 |
| 175 | 2024-12-13 09:02:09 | factorylike | 3 | 121633 | 3 | 27.796 | 4375.9 |
| 174 | 2024-12-04 17:00:14 | factorylike | 3 | 121633 | 3 | 31.626 | 3846.0 |
| 173 | 2024-12-04 17:00:17 | factorylike | 2 | 86808 | 1 | 11.516 | 7538.0 |
| 172 | 2024-12-04 16:56:32 | factorylike | 1 | 49908 | 1 | 1.890 | 26406.3 |
| 171 | 2024-12-01 10:05:52 | factorylike | 3 | 121633 | 3 | 31.863 | 3817.4 |
| 170 | 2024-12-01 10:05:53 | factorylike | 2 | 86808 | 1 | 12.046 | 7206.4 |
| 169 | 2024-12-01 10:03:44 | factorylike | 1 | 49908 | 1 | 2.716 | 18375.6 |
| 168 | 2024-11-29 23:16:11 | factorylike | 4 | 148819 | 25 | 40.486 | 3675.8 |
| 167 | 2024-11-29 08:02:42 | factorylike | 4 | 148819 | 25 | 59.076 | 2519.1 |
| 166 | 2024-11-25 03:31:33 | factorylike | 4 | 148819 | 25 | 30.436 | 4889.6 |
| 165 | 2024-11-24 21:12:13 | factorylike | 4 | 148819 | 25 | 52.800 | 2818.5 |
| 164 | 2024-11-04 12:20:36 | factorylike | 1 | 49908 | 1 | 1.983 | 25167.9 |
| 163 | 2024-10-29 19:16:15 | factorylike | 1 | 49908 | 1 | 4.013 | 12436.6 |
| 162 | 2024-10-26 06:24:36 | factorylike | 1 | 49908 | 1 | 2.763 | 18063.0 |
| 161 | 2024-10-19 09:44:02 | factorylike | 4 | 148819 | 25 | 44.563 | 3339.5 |
| 160 | 2024-10-17 04:00:49 | factorylike | 4 | 148819 | 25 | 46.016 | 3234.1 |
| 159 | 2024-10-16 00:01:47 | factorylike | 4 | 148819 | 25 | 61.863 | 2405.6 |
| 158 | 2024-10-15 22:26:45 | factorylike | 3 | 121633 | 3 | 20.096 | 6052.6 |
| 157 | 2024-10-15 22:26:49 | factorylike | 2 | 86808 | 1 | 14.873 | 5836.6 |
| 156 | 2024-10-15 22:24:13 | factorylike | 3 | 121633 | 3 | 26.453 | 4598.1 |
| 155 | 2024-10-15 22:23:53 | factorylike | 3 | 121633 | 3 | 20.720 | 5870.3 |
| 154 | 2024-10-15 22:19:27 | factorylike | 1 | 49908 | 1 | 3.860 | 12929.5 |
| 153 | 2024-09-26 23:05:26 | factorylike | 1 | 49908 | 1 | 4.250 | 11743.1 |
| 152 | 2024-09-09 19:14:40 | factorylike | 3 | 121633 | 3 | 58.830 | 2067.5 |
| 151 | 2024-09-09 19:14:39 | factorylike | 4 | 148819 | 25 | 59.266 | 2511.0 |
| 150 | 2024-09-09 19:14:45 | factorylike | 2 | 86808 | 1 | 25.250 | 3437.9 |
| 149 | 2024-09-09 19:09:45 | factorylike | 1 | 49908 | 1 | 5.953 | 8383.7 |
| 148 | 2024-09-08 03:09:18 | factorylike | 1 | 49908 | 1 | 6.110 | 8168.2 |
| 147 | 2024-09-01 22:47:33 | factorylike | 4 | 148819 | 25 | 36.846 | 4038.9 |
| 146 | 2024-08-23 06:27:07 | factorylike | 4 | 148819 | 25 | 73.600 | 2022.0 |
| 145 | 2024-08-23 03:11:46 | factorylike | 4 | 148819 | 25 | 46.393 | 3207.8 |
| 144 | 2024-08-20 10:25:25 | factorylike | 4 | 148819 | 25 | 99.946 | 1489.0 |
| 143 | 2024-08-20 10:10:50 | factorylike | 1 | 49908 | 1 | 6.050 | 8249.3 |
| 142 | 2024-08-18 21:28:15 | factorylike | 5 | 164607 | 150 | 162.870 | 1010.7 |
| 141 | 2024-08-18 21:28:27 | factorylike | 4 | 148819 | 25 | 61.203 | 2431.6 |
| 140 | 2024-08-18 21:28:32 | factorylike | 3 | 121633 | 3 | 24.173 | 5031.8 |
| 139 | 2024-08-18 21:28:43 | factorylike | 2 | 86808 | 1 | 9.736 | 8916.2 |
| 138 | 2024-08-18 21:20:12 | factorylike | 1 | 49908 | 1 | 2.593 | 19247.2 |
| 137 | 2024-07-28 16:06:26 | factorylike | 4 | 148819 | 25 | 26.436 | 5629.4 |
| 136 | 2024-07-27 10:00:27 | factorylike | 4 | 148819 | 25 | 34.843 | 4271.1 |
| 135 | 2024-07-27 10:00:48 | factorylike | 2 | 86808 | 1 | 13.063 | 6645.3 |
| 134 | 2024-07-27 09:59:00 | factorylike | 4 | 148819 | 25 | 42.096 | 3535.2 |