History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prefocuses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 341 | 2025-10-24 18:31:17 | prefocuses | 2 | 108824 | 10 | 3.500 | 31092.6 |
| 340 | 2025-10-24 02:17:29 | prefocuses | 1 | 67641 | 4 | 1.063 | 63632.2 |
| 339 | 2025-10-09 08:13:23 | prefocuses | 3 | 140603 | 35 | 5.873 | 23940.6 |
| 338 | 2025-09-19 00:23:16 | prefocuses | 2 | 108824 | 10 | 4.593 | 23693.4 |
| 337 | 2025-09-15 00:22:34 | prefocuses | 3 | 140603 | 35 | 6.250 | 22496.5 |
| 336 | 2025-09-12 22:40:49 | prefocuses | 3 | 140603 | 35 | 6.670 | 21079.9 |
| 335 | 2025-09-09 08:23:35 | prefocuses | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 334 | 2025-08-27 16:04:08 | prefocuses | 1 | 67641 | 4 | 2.263 | 29890.0 |
| 333 | 2025-08-27 15:05:15 | prefocuses | 1 | 67641 | 4 | 1.190 | 56841.2 |
| 332 | 2025-08-27 09:08:24 | prefocuses | 1 | 67641 | 4 | 3.063 | 22083.3 |
| 331 | 2025-08-26 15:35:20 | prefocuses | 2 | 108824 | 10 | 3.563 | 30542.8 |
| 330 | 2025-08-13 21:56:24 | prefocuses | 1 | 67641 | 4 | 1.606 | 42117.7 |
| 329 | 2025-08-09 12:21:10 | prefocuses | 1 | 67641 | 4 | 7.516 | 8999.6 |
| 328 | 2025-08-09 01:24:58 | prefocuses | 1 | 67641 | 4 | 3.343 | 20233.6 |
| 327 | 2025-07-18 15:39:38 | prefocuses | 1 | 67641 | 4 | 4.796 | 14103.6 |
| 326 | 2025-06-28 00:44:19 | prefocuses | 1 | 67641 | 4 | 5.860 | 11542.8 |
| 325 | 2025-06-07 15:00:01 | prefocuses | 4 | 161450 | 227 | 32.860 | 4913.3 |
| 324 | 2025-06-04 12:44:03 | prefocuses | 3 | 140603 | 35 | 25.910 | 5426.6 |
| 323 | 2025-06-04 11:33:28 | prefocuses | 3 | 140603 | 35 | 21.753 | 6463.6 |
| 322 | 2025-06-04 03:48:38 | prefocuses | 3 | 140603 | 35 | 30.346 | 4633.3 |
| 321 | 2025-06-02 12:19:24 | prefocuses | 3 | 140603 | 35 | 40.470 | 3474.3 |
| 320 | 2025-06-01 09:20:00 | prefocuses | 1 | 67641 | 4 | 2.843 | 23792.1 |
| 319 | 2025-05-31 10:08:17 | prefocuses | 3 | 140603 | 35 | 26.860 | 5234.7 |
| 318 | 2025-05-28 11:18:31 | prefocuses | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 317 | 2025-05-26 23:11:44 | prefocuses | 4 | 161450 | 227 | 58.456 | 2761.9 |
| 316 | 2025-05-26 00:39:32 | prefocuses | 4 | 161450 | 227 | 56.956 | 2834.6 |
| 315 | 2025-05-24 01:00:49 | prefocuses | 1 | 67641 | 4 | 5.250 | 12884.0 |
| 314 | 2025-05-23 10:54:22 | prefocuses | 4 | 161450 | 227 | 26.266 | 6146.7 |
| 313 | 2025-05-22 21:26:20 | prefocuses | 4 | 161450 | 227 | 11.970 | 13487.9 |
| 312 | 2025-05-20 15:09:19 | prefocuses | 4 | 161450 | 227 | 60.460 | 2670.4 |
| 311 | 2025-05-14 10:24:12 | prefocuses | 4 | 161450 | 227 | 56.430 | 2861.1 |
| 310 | 2025-05-10 02:08:37 | prefocuses | 1 | 67641 | 4 | 8.530 | 7929.8 |
| 309 | 2025-04-29 13:26:12 | prefocuses | 1 | 67641 | 4 | 1.236 | 54725.7 |
| 308 | 2025-04-29 09:23:28 | prefocuses | 1 | 67641 | 4 | 5.643 | 11986.7 |
| 307 | 2025-04-22 23:58:44 | prefocuses | 4 | 161450 | 227 | 43.393 | 3720.6 |
| 306 | 2025-04-22 23:34:58 | prefocuses | 1 | 67641 | 4 | 2.873 | 23543.7 |
| 305 | 2025-04-21 10:38:34 | prefocuses | 4 | 161450 | 227 | 65.783 | 2454.3 |
| 304 | 2025-04-19 16:31:37 | prefocuses | 1 | 67641 | 4 | 1.060 | 63812.3 |
| 303 | 2025-04-18 15:08:42 | prefocuses | 4 | 161450 | 227 | 45.033 | 3585.1 |
| 302 | 2025-04-11 14:45:15 | prefocuses | 2 | 108824 | 10 | 9.350 | 11638.9 |
| 301 | 2025-04-11 06:19:57 | prefocuses | 4 | 161450 | 227 | 46.546 | 3468.6 |
| 300 | 2025-04-10 01:22:41 | prefocuses | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 299 | 2025-04-06 09:36:09 | prefocuses | 1 | 67641 | 4 | 3.233 | 20922.1 |
| 298 | 2025-04-04 14:00:21 | prefocuses | 1 | 67641 | 4 | 4.720 | 14330.7 |
| 297 | 2025-03-29 11:24:55 | prefocuses | 1 | 67641 | 4 | 3.076 | 21989.9 |
| 296 | 2025-03-29 05:45:41 | prefocuses | 3 | 140603 | 35 | 27.140 | 5180.7 |
| 295 | 2025-03-25 14:08:12 | prefocuses | 3 | 140603 | 35 | 32.876 | 4276.8 |
| 294 | 2025-03-23 00:40:07 | prefocuses | 1 | 67641 | 4 | 6.610 | 10233.1 |
| 293 | 2025-03-11 21:04:01 | prefocuses | 3 | 140603 | 35 | 16.513 | 8514.7 |
| 292 | 2025-03-11 16:24:34 | prefocuses | 1 | 67641 | 4 | 8.050 | 8402.6 |
| 291 | 2025-03-08 00:43:56 | prefocuses | 3 | 140603 | 35 | 37.863 | 3713.5 |
| 290 | 2025-03-01 23:09:20 | prefocuses | 1 | 67641 | 4 | 5.530 | 12231.6 |
| 289 | 2025-03-01 17:13:35 | prefocuses | 1 | 67641 | 4 | 8.626 | 7841.5 |
| 288 | 2025-02-28 09:27:05 | prefocuses | 3 | 140603 | 35 | 48.800 | 2881.2 |
| 287 | 2025-02-28 09:27:06 | prefocuses | 3 | 140603 | 35 | 37.703 | 3729.2 |
| 286 | 2025-02-28 09:27:04 | prefocuses | 2 | 108824 | 10 | 21.796 | 4992.8 |
| 285 | 2025-02-28 09:07:33 | prefocuses | 1 | 67641 | 4 | 2.423 | 27916.2 |
| 284 | 2025-02-19 15:37:39 | prefocuses | 1 | 67641 | 4 | 5.906 | 11452.9 |
| 283 | 2025-02-06 16:32:19 | prefocuses | 2 | 108824 | 10 | 24.250 | 4487.6 |
| 282 | 2025-02-06 14:18:39 | prefocuses | 1 | 67641 | 4 | 8.173 | 8276.2 |
| 281 | 2025-02-05 09:47:52 | prefocuses | 1 | 67641 | 4 | 1.046 | 64666.3 |
| 280 | 2025-01-31 00:45:56 | prefocuses | 3 | 140603 | 35 | 42.393 | 3316.7 |
| 279 | 2025-01-31 00:45:53 | prefocuses | 3 | 140603 | 35 | 34.973 | 4020.3 |
| 278 | 2025-01-30 21:35:43 | prefocuses | 3 | 140603 | 35 | 33.720 | 4169.7 |
| 277 | 2025-01-30 17:02:18 | prefocuses | 4 | 161450 | 227 | 66.063 | 2443.9 |
| 276 | 2025-01-30 17:02:09 | prefocuses | 3 | 140603 | 35 | 40.596 | 3463.5 |
| 275 | 2025-01-30 17:02:25 | prefocuses | 2 | 108824 | 10 | 17.440 | 6239.9 |
| 274 | 2025-01-30 16:57:54 | prefocuses | 1 | 67641 | 4 | 4.233 | 15979.4 |
| 273 | 2025-01-13 13:22:35 | prefocuses | 1 | 67641 | 4 | 5.970 | 11330.2 |
| 272 | 2025-01-06 19:27:19 | prefocuses | 2 | 108824 | 10 | 22.300 | 4880.0 |
| 271 | 2025-01-03 15:32:32 | prefocuses | 1 | 67641 | 4 | 5.030 | 13447.5 |
| 270 | 2024-12-31 09:29:20 | prefocuses | 2 | 108824 | 10 | 21.156 | 5143.9 |
| 269 | 2024-12-31 09:26:40 | prefocuses | 1 | 67641 | 4 | 4.330 | 15621.5 |
| 268 | 2024-12-30 07:07:41 | prefocuses | 4 | 161450 | 227 | 57.486 | 2808.5 |
| 267 | 2024-12-30 07:07:47 | prefocuses | 2 | 108824 | 10 | 16.186 | 6723.3 |
| 266 | 2024-12-28 13:41:32 | prefocuses | 1 | 67641 | 4 | 1.030 | 65670.9 |
| 265 | 2024-12-25 10:30:10 | prefocuses | 3 | 140603 | 35 | 29.096 | 4832.4 |
| 264 | 2024-12-19 14:01:19 | prefocuses | 3 | 140603 | 35 | 33.703 | 4171.8 |
| 263 | 2024-12-19 12:01:21 | prefocuses | 3 | 140603 | 35 | 33.330 | 4218.5 |
| 262 | 2024-12-12 00:03:48 | prefocuses | 1 | 67641 | 4 | 4.453 | 15190.0 |
| 261 | 2024-11-30 00:00:07 | prefocuses | 1 | 67641 | 4 | 5.706 | 11854.4 |
| 260 | 2024-11-29 15:44:41 | prefocuses | 1 | 67641 | 4 | 8.750 | 7730.4 |
| 259 | 2024-11-25 22:49:59 | prefocuses | 3 | 140603 | 35 | 34.596 | 4064.1 |
| 258 | 2024-11-23 07:18:52 | prefocuses | 2 | 108824 | 10 | 16.123 | 6749.6 |
| 257 | 2024-11-19 11:20:01 | prefocuses | 4 | 161450 | 227 | 53.313 | 3028.3 |
| 256 | 2024-11-18 23:45:34 | prefocuses | 2 | 108824 | 10 | 23.563 | 4618.4 |
| 255 | 2024-11-18 23:39:58 | prefocuses | 3 | 140603 | 35 | 25.970 | 5414.1 |
| 254 | 2024-11-18 17:30:44 | prefocuses | 1 | 67641 | 4 | 5.686 | 11896.1 |
| 253 | 2024-11-18 06:29:45 | prefocuses | 3 | 140603 | 35 | 32.753 | 4292.8 |
| 252 | 2024-11-18 04:31:54 | prefocuses | 4 | 161450 | 227 | 50.223 | 3214.7 |
| 251 | 2024-11-18 04:31:55 | prefocuses | 3 | 140603 | 35 | 48.330 | 2909.2 |
| 250 | 2024-11-18 04:31:55 | prefocuses | 2 | 108824 | 10 | 16.466 | 6609.0 |
| 249 | 2024-11-04 22:50:36 | prefocuses | 3 | 140603 | 35 | 16.550 | 8495.6 |
| 248 | 2024-11-03 01:49:51 | prefocuses | 3 | 140603 | 35 | 23.796 | 5908.7 |
| 247 | 2024-11-03 01:47:37 | prefocuses | 1 | 67641 | 4 | 2.906 | 23276.3 |
| 246 | 2024-10-28 21:36:56 | prefocuses | 1 | 67641 | 4 | 7.813 | 8657.5 |
| 245 | 2024-10-25 17:47:22 | prefocuses | 1 | 67641 | 4 | 6.656 | 10162.4 |
| 244 | 2024-10-05 21:47:33 | prefocuses | 3 | 140603 | 35 | 41.486 | 3389.2 |
| 243 | 2024-10-05 21:47:29 | prefocuses | 2 | 108824 | 10 | 24.686 | 4408.3 |
| 242 | 2024-10-03 04:19:12 | prefocuses | 3 | 140603 | 35 | 59.660 | 2356.7 |