History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"firmnesses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 399 | 2025-10-13 11:48:20 | firmnesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 398 | 2025-09-17 21:47:43 | firmnesses | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 397 | 2025-08-25 01:58:12 | firmnesses | 1 | 67641 | 1 | 7.766 | 8709.9 |
| 396 | 2025-08-13 16:12:53 | firmnesses | 2 | 108824 | 20 | 18.733 | 5809.2 |
| 395 | 2025-08-13 15:34:41 | firmnesses | 3 | 140603 | 117 | 33.000 | 4260.7 |
| 394 | 2025-08-11 15:14:46 | firmnesses | 1 | 67641 | 1 | 2.330 | 29030.5 |
| 393 | 2025-08-10 19:24:00 | firmnesses | 3 | 140603 | 117 | 33.203 | 4234.6 |
| 392 | 2025-08-10 02:33:51 | firmnesses | 2 | 108824 | 20 | 7.360 | 14785.9 |
| 391 | 2025-08-09 16:07:28 | firmnesses | 1 | 67641 | 1 | 3.076 | 21989.9 |
| 390 | 2025-08-09 11:31:58 | firmnesses | 3 | 140603 | 117 | 27.233 | 5163.0 |
| 389 | 2025-08-08 20:54:16 | firmnesses | 1 | 67641 | 1 | 5.253 | 12876.6 |
| 388 | 2025-08-08 04:28:19 | firmnesses | 2 | 108824 | 20 | 3.423 | 31792.0 |
| 387 | 2025-08-07 02:19:19 | firmnesses | 2 | 108824 | 20 | 7.500 | 14509.9 |
| 386 | 2025-08-07 02:10:17 | firmnesses | 3 | 140603 | 117 | 12.670 | 11097.3 |
| 385 | 2025-08-04 09:25:59 | firmnesses | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 384 | 2025-07-30 17:31:06 | firmnesses | 1 | 67641 | 1 | 2.840 | 23817.3 |
| 383 | 2025-07-24 09:03:04 | firmnesses | 1 | 67641 | 1 | 4.830 | 14004.3 |
| 382 | 2025-07-23 12:10:42 | firmnesses | 1 | 67641 | 1 | 2.720 | 24868.0 |
| 381 | 2025-07-22 20:23:51 | firmnesses | 1 | 67641 | 1 | 2.920 | 23164.7 |
| 380 | 2025-07-20 15:03:50 | firmnesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 379 | 2025-07-17 17:59:01 | firmnesses | 2 | 108824 | 20 | 7.453 | 14601.4 |
| 378 | 2025-07-13 19:20:51 | firmnesses | 2 | 108824 | 20 | 15.766 | 6902.4 |
| 377 | 2025-07-12 22:59:03 | firmnesses | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 376 | 2025-07-12 14:01:33 | firmnesses | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 375 | 2025-07-10 06:36:16 | firmnesses | 2 | 108824 | 20 | 13.983 | 7782.6 |
| 374 | 2025-07-10 04:33:43 | firmnesses | 1 | 67641 | 1 | 5.690 | 11887.7 |
| 373 | 2025-07-09 06:15:01 | firmnesses | 1 | 67641 | 1 | 5.283 | 12803.5 |
| 372 | 2025-07-06 20:29:09 | firmnesses | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 371 | 2025-06-28 22:13:21 | firmnesses | 1 | 67641 | 1 | 3.593 | 18825.8 |
| 370 | 2025-06-27 14:44:18 | firmnesses | 3 | 140603 | 117 | 29.860 | 4708.7 |
| 369 | 2025-06-27 04:30:45 | firmnesses | 2 | 108824 | 20 | 12.873 | 8453.7 |
| 368 | 2025-06-25 12:28:09 | firmnesses | 3 | 140603 | 117 | 6.593 | 21326.1 |
| 367 | 2025-06-23 11:58:56 | firmnesses | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 366 | 2025-06-22 15:07:50 | firmnesses | 2 | 108824 | 20 | 14.376 | 7569.8 |
| 365 | 2025-06-22 00:15:45 | firmnesses | 3 | 140603 | 117 | 66.443 | 2116.1 |
| 364 | 2025-06-21 08:26:40 | firmnesses | 1 | 67641 | 1 | 2.610 | 25916.1 |
| 363 | 2025-06-20 16:45:43 | firmnesses | 1 | 67641 | 1 | 6.046 | 11187.7 |
| 362 | 2025-06-17 20:39:02 | firmnesses | 1 | 67641 | 1 | 7.843 | 8624.4 |
| 361 | 2025-06-08 06:15:43 | firmnesses | 1 | 67641 | 1 | 5.046 | 13404.9 |
| 360 | 2025-06-08 03:10:13 | firmnesses | 1 | 67641 | 1 | 5.376 | 12582.0 |
| 359 | 2025-06-01 20:05:10 | firmnesses | 1 | 67641 | 1 | 5.673 | 11923.3 |
| 358 | 2025-05-20 11:14:42 | firmnesses | 1 | 67641 | 1 | 2.970 | 22774.7 |
| 357 | 2025-05-20 08:48:44 | firmnesses | 1 | 67641 | 1 | 2.720 | 24868.0 |
| 356 | 2025-05-13 06:05:31 | firmnesses | 2 | 108824 | 20 | 2.953 | 36852.0 |
| 355 | 2025-05-13 00:28:19 | firmnesses | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 354 | 2025-05-10 01:36:06 | firmnesses | 2 | 108824 | 20 | 8.406 | 12946.0 |
| 353 | 2025-05-05 07:53:20 | firmnesses | 1 | 67641 | 1 | 3.326 | 20337.0 |
| 352 | 2025-05-02 18:14:57 | firmnesses | 1 | 67641 | 1 | 0.983 | 68810.8 |
| 351 | 2025-05-01 13:33:08 | firmnesses | 3 | 140603 | 117 | 19.406 | 7245.3 |
| 350 | 2025-04-30 00:51:06 | firmnesses | 2 | 108824 | 20 | 7.530 | 14452.1 |
| 349 | 2025-04-29 16:10:10 | firmnesses | 3 | 140603 | 117 | 9.953 | 14126.7 |
| 348 | 2025-04-28 19:12:20 | firmnesses | 3 | 140603 | 117 | 5.563 | 25274.7 |
| 347 | 2025-04-25 20:05:42 | firmnesses | 1 | 67641 | 1 | 7.983 | 8473.1 |
| 346 | 2025-04-24 00:06:46 | firmnesses | 3 | 140603 | 117 | 34.223 | 4108.4 |
| 345 | 2025-04-22 23:41:11 | firmnesses | 3 | 140603 | 117 | 42.046 | 3344.0 |
| 344 | 2025-04-21 13:26:18 | firmnesses | 2 | 108824 | 20 | 14.440 | 7536.3 |
| 343 | 2025-04-21 09:03:04 | firmnesses | 3 | 140603 | 117 | 40.016 | 3513.7 |
| 342 | 2025-04-20 10:37:39 | firmnesses | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 341 | 2025-04-16 02:31:21 | firmnesses | 1 | 67641 | 1 | 8.360 | 8091.0 |
| 340 | 2025-04-04 03:04:35 | firmnesses | 1 | 67641 | 1 | 4.576 | 14781.7 |
| 339 | 2025-03-23 21:09:06 | firmnesses | 1 | 67641 | 1 | 2.890 | 23405.2 |
| 338 | 2025-03-23 07:06:15 | firmnesses | 1 | 67641 | 1 | 3.280 | 20622.3 |
| 337 | 2025-03-14 00:17:07 | firmnesses | 1 | 67641 | 1 | 2.486 | 27208.8 |
| 336 | 2025-02-26 15:09:48 | firmnesses | 3 | 140603 | 117 | 44.206 | 3180.6 |
| 335 | 2025-02-22 03:02:28 | firmnesses | 3 | 140603 | 117 | 36.330 | 3870.2 |
| 334 | 2025-02-20 13:20:11 | firmnesses | 3 | 140603 | 117 | 35.346 | 3977.9 |
| 333 | 2025-02-20 07:03:50 | firmnesses | 3 | 140603 | 117 | 42.343 | 3320.6 |
| 332 | 2025-02-20 05:47:30 | firmnesses | 3 | 140603 | 117 | 39.080 | 3597.8 |
| 331 | 2025-02-20 05:47:28 | firmnesses | 2 | 108824 | 20 | 19.750 | 5510.1 |
| 330 | 2025-02-20 05:38:29 | firmnesses | 1 | 67641 | 1 | 2.563 | 26391.3 |
| 329 | 2025-02-17 11:15:29 | firmnesses | 1 | 67641 | 1 | 4.796 | 14103.6 |
| 328 | 2025-01-27 13:34:51 | firmnesses | 1 | 67641 | 1 | 3.456 | 19572.0 |
| 327 | 2025-01-22 16:08:10 | firmnesses | 2 | 108824 | 20 | 14.966 | 7271.4 |
| 326 | 2025-01-22 07:39:52 | firmnesses | 2 | 108824 | 20 | 11.733 | 9275.0 |
| 325 | 2025-01-21 22:20:30 | firmnesses | 2 | 108824 | 20 | 17.606 | 6181.1 |
| 324 | 2025-01-21 22:17:00 | firmnesses | 1 | 67641 | 1 | 5.236 | 12918.4 |
| 323 | 2025-01-17 14:39:32 | firmnesses | 3 | 140603 | 117 | 29.406 | 4781.4 |
| 322 | 2025-01-16 05:21:56 | firmnesses | 3 | 140603 | 117 | 27.906 | 5038.5 |
| 321 | 2025-01-15 14:16:02 | firmnesses | 1 | 67641 | 1 | 5.373 | 12589.1 |
| 320 | 2025-01-15 00:55:05 | firmnesses | 3 | 140603 | 117 | 31.330 | 4487.8 |
| 319 | 2025-01-13 23:53:04 | firmnesses | 3 | 140603 | 117 | 35.473 | 3963.7 |
| 318 | 2025-01-13 23:52:55 | firmnesses | 2 | 108824 | 20 | 15.796 | 6889.3 |
| 317 | 2025-01-13 23:50:44 | firmnesses | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 316 | 2024-12-25 05:27:51 | firmnesses | 1 | 67641 | 1 | 6.860 | 9860.2 |
| 315 | 2024-12-12 05:36:33 | firmnesses | 3 | 140603 | 117 | 35.050 | 4011.5 |
| 314 | 2024-12-12 05:36:34 | firmnesses | 2 | 108824 | 20 | 12.830 | 8482.0 |
| 313 | 2024-12-12 05:36:17 | firmnesses | 1 | 67641 | 1 | 2.610 | 25916.1 |
| 312 | 2024-12-04 21:26:05 | firmnesses | 3 | 140603 | 117 | 43.800 | 3210.1 |
| 311 | 2024-12-04 21:26:01 | firmnesses | 2 | 108824 | 20 | 15.296 | 7114.5 |
| 310 | 2024-12-04 21:24:41 | firmnesses | 1 | 67641 | 1 | 5.640 | 11993.1 |
| 309 | 2024-11-10 14:29:35 | firmnesses | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 308 | 2024-11-09 06:11:41 | firmnesses | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 307 | 2024-11-07 16:13:44 | firmnesses | 1 | 67641 | 1 | 5.546 | 12196.4 |
| 306 | 2024-11-04 11:20:48 | firmnesses | 3 | 140603 | 117 | 36.660 | 3835.3 |
| 305 | 2024-11-03 07:26:44 | firmnesses | 3 | 140603 | 117 | 26.533 | 5299.2 |
| 304 | 2024-11-03 07:23:02 | firmnesses | 2 | 108824 | 20 | 22.110 | 4921.9 |
| 303 | 2024-11-02 20:17:11 | firmnesses | 3 | 140603 | 117 | 25.483 | 5517.5 |
| 302 | 2024-11-02 20:17:12 | firmnesses | 2 | 108824 | 20 | 15.610 | 6971.4 |
| 301 | 2024-11-02 20:11:31 | firmnesses | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 300 | 2024-10-04 14:23:05 | firmnesses | 1 | 67641 | 1 | 8.470 | 7986.0 |