History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"optimality"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 404 | 2026-03-05 01:37:18 | optimality | 4 | 161450 | 80 | 10.423 | 15489.8 |
| 403 | 2026-03-04 10:23:43 | optimality | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 402 | 2026-03-04 05:15:55 | optimality | 4 | 161450 | 80 | 13.576 | 11892.3 |
| 401 | 2026-03-04 01:05:29 | optimality | 4 | 161450 | 80 | 10.546 | 15309.1 |
| 400 | 2026-03-02 19:40:33 | optimality | 4 | 161450 | 80 | 10.250 | 15751.2 |
| 399 | 2026-03-02 16:10:50 | optimality | 4 | 161450 | 80 | 10.313 | 15655.0 |
| 398 | 2026-03-01 20:03:54 | optimality | 4 | 161450 | 80 | 19.486 | 8285.4 |
| 397 | 2026-02-27 19:45:33 | optimality | 5 | 173545 | 428 | 86.750 | 2000.5 |
| 396 | 2026-02-25 16:54:57 | optimality | 4 | 161450 | 80 | 11.423 | 14133.8 |
| 395 | 2026-02-25 13:20:19 | optimality | 5 | 173545 | 428 | 19.610 | 8849.8 |
| 394 | 2026-02-24 08:14:25 | optimality | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 393 | 2026-02-24 02:02:34 | optimality | 5 | 173545 | 428 | 16.203 | 10710.7 |
| 392 | 2026-02-23 15:25:24 | optimality | 5 | 173545 | 428 | 21.720 | 7990.1 |
| 391 | 2026-02-23 08:00:37 | optimality | 5 | 173545 | 428 | 30.830 | 5629.1 |
| 390 | 2026-02-23 04:52:47 | optimality | 5 | 173545 | 428 | 15.750 | 11018.7 |
| 389 | 2026-02-22 19:31:48 | optimality | 5 | 173545 | 428 | 18.470 | 9396.0 |
| 388 | 2026-02-22 18:16:06 | optimality | 4 | 161450 | 80 | 12.203 | 13230.4 |
| 387 | 2026-02-22 11:04:51 | optimality | 5 | 173545 | 428 | 16.156 | 10741.8 |
| 386 | 2026-02-22 05:28:22 | optimality | 4 | 161450 | 80 | 10.910 | 14798.4 |
| 385 | 2026-02-21 16:30:38 | optimality | 1 | 67641 | 1 | 1.593 | 42461.4 |
| 384 | 2026-02-21 14:38:19 | optimality | 5 | 173545 | 428 | 24.686 | 7030.1 |
| 383 | 2026-02-21 03:10:16 | optimality | 1 | 67641 | 1 | 2.170 | 31171.0 |
| 382 | 2026-02-21 02:03:26 | optimality | 4 | 161450 | 80 | 12.343 | 13080.3 |
| 381 | 2026-02-21 00:07:55 | optimality | 5 | 173545 | 428 | 34.440 | 5039.1 |
| 380 | 2026-02-20 15:26:53 | optimality | 5 | 173545 | 428 | 19.906 | 8718.2 |
| 379 | 2026-02-20 08:51:18 | optimality | 4 | 161450 | 80 | 11.310 | 14275.0 |
| 378 | 2026-02-20 01:20:32 | optimality | 4 | 161450 | 80 | 10.750 | 15018.6 |
| 377 | 2026-02-19 18:28:51 | optimality | 5 | 173545 | 428 | 18.830 | 9216.4 |
| 376 | 2026-02-19 17:34:51 | optimality | 4 | 161450 | 80 | 11.940 | 13521.8 |
| 375 | 2026-02-19 00:46:04 | optimality | 4 | 161450 | 80 | 10.846 | 14885.7 |
| 374 | 2026-02-18 21:37:25 | optimality | 4 | 161450 | 80 | 28.906 | 5585.3 |
| 373 | 2026-02-18 00:31:45 | optimality | 2 | 108824 | 4 | 2.610 | 41695.0 |
| 372 | 2026-02-15 18:40:23 | optimality | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 371 | 2026-02-15 01:09:36 | optimality | 3 | 140603 | 12 | 11.580 | 12141.9 |
| 370 | 2026-02-14 23:26:05 | optimality | 4 | 161450 | 80 | 41.313 | 3908.0 |
| 369 | 2026-02-12 11:25:08 | optimality | 1 | 67641 | 1 | 5.516 | 12262.7 |
| 368 | 2026-02-12 11:24:43 | optimality | 1 | 67641 | 1 | 5.530 | 12231.6 |
| 367 | 2026-02-08 13:17:57 | optimality | 4 | 161450 | 80 | 14.346 | 11254.0 |
| 366 | 2026-02-06 23:48:06 | optimality | 4 | 161450 | 80 | 15.530 | 10396.0 |
| 365 | 2026-02-05 10:47:07 | optimality | 3 | 140603 | 12 | 5.906 | 23806.8 |
| 364 | 2026-02-04 09:28:38 | optimality | 3 | 140603 | 12 | 6.546 | 21479.2 |
| 363 | 2026-02-03 16:00:15 | optimality | 4 | 161450 | 80 | 10.220 | 15797.5 |
| 362 | 2026-02-01 15:02:17 | optimality | 3 | 140603 | 12 | 5.890 | 23871.5 |
| 361 | 2026-01-26 15:58:29 | optimality | 5 | 173545 | 428 | 16.953 | 10236.8 |
| 360 | 2026-01-18 16:26:05 | optimality | 1 | 67641 | 1 | 1.060 | 63812.3 |
| 359 | 2026-01-15 13:06:24 | optimality | 3 | 140603 | 12 | 5.893 | 23859.3 |
| 358 | 2026-01-14 22:36:28 | optimality | 4 | 161450 | 80 | 11.310 | 14275.0 |
| 357 | 2026-01-14 17:10:21 | optimality | 3 | 140603 | 12 | 23.516 | 5979.0 |
| 356 | 2026-01-14 15:30:58 | optimality | 3 | 140603 | 12 | 14.030 | 10021.6 |
| 355 | 2026-01-14 12:13:40 | optimality | 2 | 108824 | 4 | 3.156 | 34481.6 |
| 354 | 2026-01-13 20:14:49 | optimality | 4 | 161450 | 80 | 11.156 | 14472.0 |
| 353 | 2026-01-11 12:53:20 | optimality | 2 | 108824 | 4 | 2.640 | 41221.2 |
| 352 | 2026-01-11 03:45:04 | optimality | 2 | 108824 | 4 | 3.093 | 35184.0 |
| 351 | 2026-01-10 22:51:46 | optimality | 4 | 161450 | 80 | 18.703 | 8632.3 |
| 350 | 2026-01-10 02:04:42 | optimality | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 349 | 2026-01-09 09:30:25 | optimality | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 348 | 2026-01-09 00:09:03 | optimality | 5 | 173545 | 428 | 17.406 | 9970.4 |
| 347 | 2026-01-08 04:08:51 | optimality | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 346 | 2026-01-07 15:18:58 | optimality | 2 | 108824 | 4 | 5.923 | 18373.1 |
| 345 | 2026-01-07 03:28:07 | optimality | 1 | 67641 | 1 | 1.096 | 61716.2 |
| 344 | 2026-01-05 00:59:01 | optimality | 5 | 173545 | 428 | 18.143 | 9565.4 |
| 343 | 2026-01-03 22:09:33 | optimality | 5 | 173545 | 428 | 19.546 | 8878.8 |
| 342 | 2026-01-03 04:05:54 | optimality | 4 | 161450 | 80 | 15.436 | 10459.3 |
| 341 | 2025-12-31 03:40:44 | optimality | 2 | 108824 | 4 | 2.780 | 39145.3 |
| 340 | 2025-12-24 21:19:46 | optimality | 1 | 67641 | 1 | 1.060 | 63812.3 |
| 339 | 2025-12-08 20:41:24 | optimality | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 338 | 2025-12-07 16:56:36 | optimality | 1 | 67641 | 1 | 1.153 | 58665.2 |
| 337 | 2025-11-30 02:00:37 | optimality | 1 | 67641 | 1 | 1.206 | 56087.1 |
| 336 | 2025-11-26 23:24:51 | optimality | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 335 | 2025-11-12 07:56:43 | optimality | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 334 | 2025-11-02 01:10:45 | optimality | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 333 | 2025-10-28 18:05:28 | optimality | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 332 | 2025-10-11 17:45:11 | optimality | 3 | 140603 | 12 | 6.766 | 20780.8 |
| 331 | 2025-10-11 11:36:10 | optimality | 2 | 108824 | 4 | 2.626 | 41441.0 |
| 330 | 2025-10-08 18:25:53 | optimality | 4 | 161450 | 80 | 10.500 | 15376.2 |
| 329 | 2025-09-12 01:45:17 | optimality | 4 | 161450 | 80 | 10.343 | 15609.6 |
| 328 | 2025-09-07 07:17:41 | optimality | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 327 | 2025-09-06 05:41:43 | optimality | 2 | 108824 | 4 | 2.736 | 39774.9 |
| 326 | 2025-09-05 14:27:19 | optimality | 3 | 140603 | 12 | 5.483 | 25643.4 |
| 325 | 2025-08-26 02:55:48 | optimality | 4 | 161450 | 80 | 46.786 | 3450.8 |
| 324 | 2025-08-25 00:36:59 | optimality | 2 | 108824 | 4 | 15.060 | 7226.0 |
| 323 | 2025-08-24 12:51:13 | optimality | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 322 | 2025-08-22 20:03:32 | optimality | 3 | 140603 | 12 | 20.983 | 6700.8 |
| 321 | 2025-08-21 03:52:49 | optimality | 4 | 161450 | 80 | 47.580 | 3393.2 |
| 320 | 2025-08-20 12:48:07 | optimality | 2 | 108824 | 4 | 6.173 | 17629.0 |
| 319 | 2025-08-20 06:49:10 | optimality | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 318 | 2025-08-19 06:16:22 | optimality | 4 | 161450 | 80 | 34.923 | 4623.0 |
| 317 | 2025-08-18 22:18:43 | optimality | 3 | 140603 | 12 | 19.126 | 7351.4 |
| 316 | 2025-08-15 16:42:12 | optimality | 4 | 161450 | 80 | 44.846 | 3600.1 |
| 315 | 2025-08-13 20:37:55 | optimality | 1 | 67641 | 1 | 3.843 | 17601.1 |
| 314 | 2025-08-05 14:37:35 | optimality | 2 | 108824 | 4 | 15.550 | 6998.3 |
| 313 | 2025-08-05 11:05:56 | optimality | 3 | 140603 | 12 | 16.206 | 8676.0 |
| 312 | 2025-08-04 09:55:46 | optimality | 1 | 67641 | 1 | 2.110 | 32057.3 |
| 311 | 2025-07-28 20:26:02 | optimality | 3 | 140603 | 12 | 31.503 | 4463.2 |
| 310 | 2025-07-26 11:45:49 | optimality | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 309 | 2025-07-25 17:26:48 | optimality | 1 | 67641 | 1 | 2.733 | 24749.7 |
| 308 | 2025-07-25 09:59:31 | optimality | 1 | 67641 | 1 | 3.920 | 17255.4 |
| 307 | 2025-07-24 18:05:39 | optimality | 1 | 67641 | 1 | 4.283 | 15792.9 |
| 306 | 2025-07-20 20:40:31 | optimality | 3 | 140603 | 12 | 9.643 | 14580.8 |
| 305 | 2025-07-19 07:24:47 | optimality | 1 | 67641 | 1 | 1.096 | 61716.2 |