History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"quantally"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 266 | 2025-10-29 18:30:01 | quantally | 4 | 165329 | 235 | 12.266 | 13478.6 |
| 265 | 2025-10-26 08:36:27 | quantally | 4 | 165329 | 235 | 12.656 | 13063.3 |
| 264 | 2025-10-09 00:34:32 | quantally | 4 | 165329 | 235 | 12.030 | 13743.1 |
| 263 | 2025-09-13 10:48:05 | quantally | 3 | 148641 | 24 | 13.983 | 10630.1 |
| 262 | 2025-09-09 06:19:20 | quantally | 4 | 165329 | 235 | 12.910 | 12806.3 |
| 261 | 2025-09-09 05:33:10 | quantally | 3 | 148641 | 24 | 7.280 | 20417.7 |
| 260 | 2025-09-09 00:57:18 | quantally | 3 | 148641 | 24 | 6.983 | 21286.1 |
| 259 | 2025-09-08 22:28:39 | quantally | 2 | 121436 | 2 | 3.546 | 34245.9 |
| 258 | 2025-09-08 22:28:17 | quantally | 2 | 121436 | 2 | 6.546 | 18551.2 |
| 257 | 2025-09-08 16:26:39 | quantally | 1 | 81242 | 1 | 1.203 | 67532.8 |
| 256 | 2025-08-23 09:11:32 | quantally | 1 | 81242 | 1 | 3.810 | 21323.4 |
| 255 | 2025-08-22 14:00:33 | quantally | 2 | 121436 | 2 | 3.593 | 33797.9 |
| 254 | 2025-08-18 21:22:12 | quantally | 3 | 148641 | 24 | 16.283 | 9128.6 |
| 253 | 2025-08-13 21:21:01 | quantally | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 252 | 2025-08-02 05:00:44 | quantally | 1 | 81242 | 1 | 2.750 | 29542.5 |
| 251 | 2025-07-24 07:09:56 | quantally | 1 | 81242 | 1 | 4.500 | 18053.8 |
| 250 | 2025-07-23 04:17:06 | quantally | 1 | 81242 | 1 | 4.250 | 19115.8 |
| 249 | 2025-07-22 16:51:44 | quantally | 1 | 81242 | 1 | 3.330 | 24397.0 |
| 248 | 2025-07-20 12:14:56 | quantally | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 247 | 2025-07-20 00:54:34 | quantally | 2 | 121436 | 2 | 3.516 | 34538.1 |
| 246 | 2025-07-19 20:13:46 | quantally | 1 | 81242 | 1 | 1.360 | 59736.8 |
| 245 | 2025-07-19 07:22:17 | quantally | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 244 | 2025-07-14 13:39:36 | quantally | 1 | 81242 | 1 | 9.770 | 8315.5 |
| 243 | 2025-06-08 09:56:12 | quantally | 1 | 81242 | 1 | 2.890 | 28111.4 |
| 242 | 2025-05-31 11:14:29 | quantally | 1 | 81242 | 1 | 5.923 | 13716.4 |
| 241 | 2025-05-30 09:33:26 | quantally | 1 | 81242 | 1 | 4.686 | 17337.2 |
| 240 | 2025-05-27 04:58:37 | quantally | 1 | 81242 | 1 | 9.640 | 8427.6 |
| 239 | 2025-04-16 09:33:57 | quantally | 1 | 81242 | 1 | 4.706 | 17263.5 |
| 238 | 2025-04-02 14:03:58 | quantally | 4 | 165329 | 235 | 55.503 | 2978.7 |
| 237 | 2025-04-01 21:45:29 | quantally | 4 | 165329 | 235 | 73.040 | 2263.5 |
| 236 | 2025-04-01 17:44:08 | quantally | 4 | 165329 | 235 | 12.453 | 13276.2 |
| 235 | 2025-03-30 22:44:21 | quantally | 4 | 165329 | 235 | 54.796 | 3017.2 |
| 234 | 2025-03-29 07:43:08 | quantally | 4 | 165329 | 235 | 56.190 | 2942.3 |
| 233 | 2025-03-28 11:44:19 | quantally | 1 | 81242 | 1 | 2.313 | 35124.1 |
| 232 | 2025-03-26 21:08:55 | quantally | 2 | 121436 | 2 | 13.516 | 8984.6 |
| 231 | 2025-03-26 20:24:02 | quantally | 3 | 148641 | 24 | 24.300 | 6116.9 |
| 230 | 2025-03-22 05:23:00 | quantally | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 229 | 2025-03-01 19:53:52 | quantally | 1 | 81242 | 1 | 3.436 | 23644.4 |
| 228 | 2025-02-19 16:48:01 | quantally | 3 | 148641 | 24 | 37.863 | 3925.8 |
| 227 | 2025-02-18 08:53:42 | quantally | 3 | 148641 | 24 | 29.080 | 5111.5 |
| 226 | 2025-02-18 04:53:33 | quantally | 1 | 81242 | 1 | 8.673 | 9367.2 |
| 225 | 2025-02-16 18:27:29 | quantally | 3 | 148641 | 24 | 34.363 | 4325.6 |
| 224 | 2025-02-09 19:03:03 | quantally | 3 | 148641 | 24 | 37.800 | 3932.3 |
| 223 | 2025-02-09 19:03:03 | quantally | 3 | 148641 | 24 | 34.910 | 4257.8 |
| 222 | 2025-02-09 19:03:03 | quantally | 2 | 121436 | 2 | 15.046 | 8071.0 |
| 221 | 2025-02-09 13:36:26 | quantally | 1 | 81242 | 1 | 5.313 | 15291.2 |
| 220 | 2025-01-19 04:27:24 | quantally | 3 | 148641 | 24 | 35.903 | 4140.1 |
| 219 | 2025-01-19 04:27:28 | quantally | 2 | 121436 | 2 | 25.206 | 4817.7 |
| 218 | 2025-01-19 04:27:00 | quantally | 1 | 81242 | 1 | 5.360 | 15157.1 |
| 217 | 2024-12-28 16:19:08 | quantally | 1 | 81242 | 1 | 1.186 | 68500.8 |
| 216 | 2024-12-19 22:50:13 | quantally | 1 | 81242 | 1 | 6.220 | 13061.4 |
| 215 | 2024-12-13 01:49:38 | quantally | 1 | 81242 | 1 | 7.360 | 11038.3 |
| 214 | 2024-12-09 12:13:27 | quantally | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 213 | 2024-12-08 16:56:13 | quantally | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 212 | 2024-11-27 21:11:25 | quantally | 1 | 81242 | 1 | 4.953 | 16402.6 |
| 211 | 2024-11-22 04:57:58 | quantally | 3 | 148641 | 24 | 32.456 | 4579.8 |
| 210 | 2024-11-20 20:58:08 | quantally | 3 | 148641 | 24 | 50.830 | 2924.3 |
| 209 | 2024-11-20 20:58:09 | quantally | 2 | 121436 | 2 | 8.546 | 14209.7 |
| 208 | 2024-11-18 21:37:29 | quantally | 3 | 148641 | 24 | 38.720 | 3838.9 |
| 207 | 2024-11-08 04:57:13 | quantally | 1 | 81242 | 1 | 7.983 | 10176.9 |
| 206 | 2024-11-08 04:56:42 | quantally | 1 | 81242 | 1 | 6.813 | 11924.6 |
| 205 | 2024-11-04 01:47:25 | quantally | 2 | 121436 | 2 | 10.486 | 11580.8 |
| 204 | 2024-11-01 22:38:18 | quantally | 3 | 148641 | 24 | 36.143 | 4112.6 |
| 203 | 2024-11-01 22:38:33 | quantally | 2 | 121436 | 2 | 12.390 | 9801.1 |
| 202 | 2024-11-01 22:37:35 | quantally | 1 | 81242 | 1 | 6.046 | 13437.3 |
| 201 | 2024-10-02 13:57:11 | quantally | 1 | 81242 | 1 | 10.546 | 7703.6 |
| 200 | 2024-09-30 16:15:52 | quantally | 1 | 81242 | 1 | 6.343 | 12808.1 |
| 199 | 2024-09-18 01:23:07 | quantally | 1 | 81242 | 1 | 9.580 | 8480.4 |
| 198 | 2024-09-14 12:48:27 | quantally | 3 | 148641 | 24 | 68.660 | 2164.9 |
| 197 | 2024-09-08 14:40:32 | quantally | 3 | 148641 | 24 | 54.786 | 2713.1 |
| 196 | 2024-09-05 10:30:00 | quantally | 3 | 148641 | 24 | 24.253 | 6128.8 |
| 195 | 2024-09-05 10:19:36 | quantally | 1 | 81242 | 1 | 3.563 | 22801.6 |
| 194 | 2024-09-04 18:13:48 | quantally | 1 | 81242 | 1 | 14.406 | 5639.5 |
| 193 | 2024-08-15 13:31:29 | quantally | 3 | 148641 | 24 | 49.783 | 2985.8 |
| 192 | 2024-08-15 13:31:20 | quantally | 2 | 121436 | 2 | 23.983 | 5063.4 |
| 191 | 2024-08-15 01:14:36 | quantally | 1 | 81242 | 1 | 14.736 | 5513.2 |
| 190 | 2024-08-13 19:01:22 | quantally | 1 | 81242 | 1 | 6.983 | 11634.3 |
| 189 | 2024-07-29 07:20:40 | quantally | 2 | 121436 | 2 | 9.783 | 12413.0 |
| 188 | 2024-07-29 06:10:18 | quantally | 1 | 81242 | 1 | 2.843 | 28576.2 |
| 187 | 2024-07-24 06:32:38 | quantally | 1 | 81242 | 1 | 5.576 | 14569.9 |
| 186 | 2024-07-18 03:21:25 | quantally | 3 | 148641 | 24 | 25.283 | 5879.1 |
| 185 | 2024-07-18 03:03:37 | quantally | 4 | 165329 | 235 | 29.923 | 5525.1 |
| 184 | 2024-07-17 10:52:02 | quantally | 4 | 165329 | 235 | 67.626 | 2444.8 |
| 183 | 2024-07-17 05:50:23 | quantally | 4 | 165329 | 235 | 25.783 | 6412.3 |
| 182 | 2024-07-16 01:54:34 | quantally | 4 | 165329 | 235 | 38.753 | 4266.2 |
| 181 | 2024-07-16 01:54:36 | quantally | 3 | 148641 | 24 | 27.830 | 5341.0 |
| 180 | 2024-07-16 01:54:39 | quantally | 2 | 121436 | 2 | 19.736 | 6153.0 |
| 179 | 2024-07-16 01:53:18 | quantally | 1 | 81242 | 1 | 4.233 | 19192.5 |
| 178 | 2024-07-07 01:47:35 | quantally | 1 | 81242 | 1 | 6.576 | 12354.3 |
| 177 | 2024-06-25 14:05:17 | quantally | 3 | 148641 | 24 | 16.563 | 8974.3 |
| 176 | 2024-06-23 05:38:45 | quantally | 3 | 148641 | 24 | 21.563 | 6893.3 |
| 175 | 2024-06-22 23:46:38 | quantally | 4 | 165329 | 235 | 58.003 | 2850.4 |
| 174 | 2024-06-18 20:47:43 | quantally | 2 | 121436 | 2 | 18.923 | 6417.4 |
| 173 | 2024-06-18 20:44:38 | quantally | 1 | 81242 | 1 | 4.170 | 19482.5 |
| 172 | 2024-06-02 16:34:33 | quantally | 4 | 165329 | 235 | 60.033 | 2754.0 |
| 171 | 2024-06-02 11:30:12 | quantally | 2 | 121436 | 2 | 19.936 | 6091.3 |
| 170 | 2024-06-02 10:54:59 | quantally | 4 | 165329 | 235 | 14.156 | 11679.1 |
| 169 | 2024-06-02 10:55:03 | quantally | 3 | 148641 | 24 | 7.593 | 19576.1 |
| 168 | 2024-06-02 10:35:16 | quantally | 1 | 81242 | 1 | 1.640 | 49537.8 |
| 167 | 2024-06-02 10:18:14 | quantally | 1 | 81242 | 1 | 1.873 | 43375.3 |