History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"attractors"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 372 | 2025-10-25 20:09:50 | attractors | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 371 | 2025-10-20 06:05:07 | attractors | 2 | 108824 | 11 | 12.906 | 8432.0 |
| 370 | 2025-10-17 12:33:54 | attractors | 4 | 161450 | 182 | 14.906 | 10831.2 |
| 369 | 2025-10-16 16:30:36 | attractors | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 368 | 2025-10-16 15:41:03 | attractors | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 367 | 2025-10-04 19:47:30 | attractors | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 366 | 2025-09-26 21:43:34 | attractors | 1 | 67641 | 3 | 1.653 | 40920.1 |
| 365 | 2025-09-24 01:53:46 | attractors | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 364 | 2025-09-14 19:11:35 | attractors | 1 | 67641 | 3 | 1.826 | 37043.3 |
| 363 | 2025-09-14 14:12:43 | attractors | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 362 | 2025-09-03 09:17:36 | attractors | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 361 | 2025-08-29 03:58:23 | attractors | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 360 | 2025-08-28 10:42:37 | attractors | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 359 | 2025-08-20 20:30:00 | attractors | 1 | 67641 | 3 | 4.516 | 14978.1 |
| 358 | 2025-08-15 14:33:28 | attractors | 1 | 67641 | 3 | 4.936 | 13703.6 |
| 357 | 2025-08-15 05:36:39 | attractors | 1 | 67641 | 3 | 2.500 | 27056.4 |
| 356 | 2025-08-09 17:27:25 | attractors | 1 | 67641 | 3 | 5.623 | 12029.3 |
| 355 | 2025-07-28 05:40:48 | attractors | 1 | 67641 | 3 | 3.826 | 17679.3 |
| 354 | 2025-07-28 03:31:32 | attractors | 1 | 67641 | 3 | 2.890 | 23405.2 |
| 353 | 2025-07-28 02:23:06 | attractors | 1 | 67641 | 3 | 4.686 | 14434.7 |
| 352 | 2025-07-26 09:21:25 | attractors | 1 | 67641 | 3 | 2.466 | 27429.4 |
| 351 | 2025-07-24 04:32:17 | attractors | 1 | 67641 | 3 | 4.673 | 14474.9 |
| 350 | 2025-07-19 06:30:38 | attractors | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 349 | 2025-07-12 23:06:04 | attractors | 1 | 67641 | 3 | 3.126 | 21638.2 |
| 348 | 2025-07-09 19:05:11 | attractors | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 347 | 2025-07-08 16:23:31 | attractors | 1 | 67641 | 3 | 5.436 | 12443.2 |
| 346 | 2025-07-05 02:21:50 | attractors | 4 | 161450 | 182 | 48.113 | 3355.6 |
| 345 | 2025-06-26 05:52:43 | attractors | 1 | 67641 | 3 | 5.343 | 12659.7 |
| 344 | 2025-06-23 17:51:27 | attractors | 2 | 108824 | 11 | 3.250 | 33484.3 |
| 343 | 2025-06-14 05:40:03 | attractors | 1 | 67641 | 3 | 2.733 | 24749.7 |
| 342 | 2025-06-12 21:17:08 | attractors | 1 | 67641 | 3 | 4.966 | 13620.8 |
| 341 | 2025-06-10 02:50:48 | attractors | 1 | 67641 | 3 | 4.250 | 15915.5 |
| 340 | 2025-06-03 06:54:41 | attractors | 1 | 67641 | 3 | 4.720 | 14330.7 |
| 339 | 2025-05-29 09:08:31 | attractors | 1 | 67641 | 3 | 8.783 | 7701.4 |
| 338 | 2025-05-27 10:47:27 | attractors | 2 | 108824 | 11 | 15.423 | 7056.0 |
| 337 | 2025-05-27 03:02:25 | attractors | 3 | 140603 | 41 | 28.516 | 4930.7 |
| 336 | 2025-05-26 14:50:47 | attractors | 4 | 161450 | 182 | 62.223 | 2594.7 |
| 335 | 2025-05-26 06:08:16 | attractors | 1 | 67641 | 3 | 6.250 | 10822.6 |
| 334 | 2025-05-25 20:11:02 | attractors | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 333 | 2025-05-24 14:49:07 | attractors | 4 | 161450 | 182 | 49.866 | 3237.7 |
| 332 | 2025-05-22 14:29:42 | attractors | 4 | 161450 | 182 | 48.940 | 3298.9 |
| 331 | 2025-05-17 04:40:43 | attractors | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 330 | 2025-05-15 05:48:09 | attractors | 1 | 67641 | 3 | 5.310 | 12738.4 |
| 329 | 2025-05-07 03:28:04 | attractors | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 328 | 2025-05-06 02:41:11 | attractors | 1 | 67641 | 3 | 8.110 | 8340.4 |
| 327 | 2025-04-25 13:16:27 | attractors | 4 | 161450 | 182 | 19.610 | 8233.0 |
| 326 | 2025-04-13 03:00:03 | attractors | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 325 | 2025-04-12 15:25:27 | attractors | 1 | 67641 | 3 | 6.733 | 10046.2 |
| 324 | 2025-04-09 06:48:31 | attractors | 3 | 140603 | 41 | 28.656 | 4906.6 |
| 323 | 2025-04-09 06:07:51 | attractors | 1 | 67641 | 3 | 8.390 | 8062.1 |
| 322 | 2025-04-09 03:54:45 | attractors | 3 | 140603 | 41 | 30.453 | 4617.0 |
| 321 | 2025-04-07 12:56:10 | attractors | 4 | 161450 | 182 | 53.986 | 2990.6 |
| 320 | 2025-04-04 13:50:17 | attractors | 4 | 161450 | 182 | 66.113 | 2442.0 |
| 319 | 2025-04-04 08:26:39 | attractors | 2 | 108824 | 11 | 20.003 | 5440.4 |
| 318 | 2025-04-04 03:13:35 | attractors | 3 | 140603 | 41 | 15.986 | 8795.4 |
| 317 | 2025-04-02 20:20:33 | attractors | 1 | 67641 | 3 | 2.623 | 25787.6 |
| 316 | 2025-03-21 03:14:32 | attractors | 1 | 67641 | 3 | 2.796 | 24192.1 |
| 315 | 2025-03-18 05:29:22 | attractors | 1 | 67641 | 3 | 5.330 | 12690.6 |
| 314 | 2025-03-17 01:22:04 | attractors | 1 | 67641 | 3 | 7.906 | 8555.7 |
| 313 | 2025-03-07 12:00:10 | attractors | 1 | 67641 | 3 | 5.530 | 12231.6 |
| 312 | 2025-02-27 19:08:00 | attractors | 1 | 67641 | 3 | 3.390 | 19953.1 |
| 311 | 2025-02-27 04:33:33 | attractors | 1 | 67641 | 3 | 5.390 | 12549.4 |
| 310 | 2025-02-05 22:28:42 | attractors | 2 | 108824 | 11 | 3.140 | 34657.3 |
| 309 | 2025-01-28 11:48:03 | attractors | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 308 | 2025-01-21 02:52:24 | attractors | 3 | 140603 | 41 | 40.673 | 3456.9 |
| 307 | 2025-01-20 17:33:21 | attractors | 3 | 140603 | 41 | 36.476 | 3854.7 |
| 306 | 2025-01-20 17:33:23 | attractors | 2 | 108824 | 11 | 21.130 | 5150.2 |
| 305 | 2025-01-20 17:32:12 | attractors | 1 | 67641 | 3 | 5.766 | 11731.0 |
| 304 | 2025-01-06 18:17:38 | attractors | 1 | 67641 | 3 | 5.983 | 11305.5 |
| 303 | 2024-12-31 17:30:10 | attractors | 2 | 108824 | 11 | 14.310 | 7604.8 |
| 302 | 2024-12-31 17:23:46 | attractors | 1 | 67641 | 3 | 2.533 | 26703.9 |
| 301 | 2024-12-28 23:22:12 | attractors | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 300 | 2024-12-18 09:33:53 | attractors | 3 | 140603 | 41 | 31.660 | 4441.0 |
| 299 | 2024-12-15 13:16:26 | attractors | 1 | 67641 | 3 | 5.500 | 12298.4 |
| 298 | 2024-11-27 12:19:09 | attractors | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 297 | 2024-11-25 22:21:13 | attractors | 3 | 140603 | 41 | 36.110 | 3893.7 |
| 296 | 2024-11-23 19:18:08 | attractors | 1 | 67641 | 3 | 2.360 | 28661.4 |
| 295 | 2024-11-22 18:12:43 | attractors | 4 | 161450 | 182 | 33.910 | 4761.1 |
| 294 | 2024-11-21 09:04:09 | attractors | 4 | 161450 | 182 | 62.863 | 2568.3 |
| 293 | 2024-11-21 06:59:16 | attractors | 4 | 161450 | 182 | 66.700 | 2420.5 |
| 292 | 2024-11-21 06:59:21 | attractors | 2 | 108824 | 11 | 14.910 | 7298.7 |
| 291 | 2024-11-21 06:57:42 | attractors | 1 | 67641 | 3 | 5.640 | 11993.1 |
| 290 | 2024-11-20 07:23:55 | attractors | 3 | 140603 | 41 | 16.076 | 8746.1 |
| 289 | 2024-11-19 12:00:57 | attractors | 3 | 140603 | 41 | 5.733 | 24525.2 |
| 288 | 2024-11-13 12:47:59 | attractors | 1 | 67641 | 3 | 7.843 | 8624.4 |
| 287 | 2024-10-26 10:00:09 | attractors | 3 | 140603 | 41 | 30.610 | 4593.4 |
| 286 | 2024-10-26 04:33:18 | attractors | 3 | 140603 | 41 | 32.816 | 4284.6 |
| 285 | 2024-10-23 02:15:17 | attractors | 3 | 140603 | 41 | 28.906 | 4864.1 |
| 284 | 2024-10-23 02:15:08 | attractors | 2 | 108824 | 11 | 11.846 | 9186.6 |
| 283 | 2024-10-18 04:18:00 | attractors | 1 | 67641 | 3 | 1.123 | 60232.4 |
| 282 | 2024-10-17 15:45:58 | attractors | 1 | 67641 | 3 | 4.940 | 13692.5 |
| 281 | 2024-10-13 09:25:36 | attractors | 3 | 140603 | 41 | 30.630 | 4590.4 |
| 280 | 2024-10-06 05:36:08 | attractors | 1 | 67641 | 3 | 11.906 | 5681.3 |
| 279 | 2024-10-05 14:17:20 | attractors | 3 | 140603 | 41 | 50.293 | 2795.7 |
| 278 | 2024-10-01 05:49:36 | attractors | 1 | 67641 | 3 | 8.373 | 8078.5 |
| 277 | 2024-09-26 04:59:05 | attractors | 3 | 140603 | 41 | 50.643 | 2776.4 |
| 276 | 2024-09-25 23:48:03 | attractors | 3 | 140603 | 41 | 36.220 | 3881.9 |
| 275 | 2024-09-23 09:28:01 | attractors | 3 | 140603 | 41 | 44.456 | 3162.7 |
| 274 | 2024-09-21 05:55:11 | attractors | 3 | 140603 | 41 | 57.253 | 2455.8 |
| 273 | 2024-09-02 00:21:28 | attractors | 3 | 140603 | 41 | 72.363 | 1943.0 |