History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"disparity"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 399 | 2025-08-21 09:35:32 | disparity | 1 | 81242 | 1 | 3.283 | 24746.3 |
| 398 | 2025-08-05 03:06:45 | disparity | 1 | 81242 | 1 | 10.050 | 8083.8 |
| 397 | 2025-07-27 06:50:22 | disparity | 1 | 81242 | 1 | 4.093 | 19849.0 |
| 396 | 2025-07-24 13:59:33 | disparity | 1 | 81242 | 1 | 7.140 | 11378.4 |
| 395 | 2025-07-22 17:36:19 | disparity | 1 | 81242 | 1 | 8.623 | 9421.5 |
| 394 | 2025-07-21 22:13:59 | disparity | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 393 | 2025-07-18 12:55:33 | disparity | 1 | 81242 | 1 | 6.250 | 12998.7 |
| 392 | 2025-07-17 08:38:25 | disparity | 1 | 81242 | 1 | 5.986 | 13572.0 |
| 391 | 2025-06-22 06:44:37 | disparity | 2 | 121436 | 7 | 18.316 | 6630.1 |
| 390 | 2025-06-21 22:30:59 | disparity | 1 | 81242 | 1 | 6.503 | 12493.0 |
| 389 | 2025-06-20 21:46:40 | disparity | 1 | 81242 | 1 | 9.473 | 8576.2 |
| 388 | 2025-06-16 23:52:33 | disparity | 1 | 81242 | 1 | 9.813 | 8279.0 |
| 387 | 2025-06-14 12:13:16 | disparity | 1 | 81242 | 1 | 8.390 | 9683.2 |
| 386 | 2025-05-30 16:18:21 | disparity | 3 | 148641 | 38 | 23.063 | 6445.0 |
| 385 | 2025-05-27 21:45:03 | disparity | 1 | 81242 | 1 | 1.470 | 55266.7 |
| 384 | 2025-05-26 06:40:19 | disparity | 1 | 81242 | 1 | 7.970 | 10193.5 |
| 383 | 2025-05-18 07:16:24 | disparity | 2 | 121436 | 7 | 20.076 | 6048.8 |
| 382 | 2025-05-15 11:38:43 | disparity | 2 | 121436 | 7 | 3.283 | 36989.3 |
| 381 | 2025-05-14 00:21:06 | disparity | 2 | 121436 | 7 | 11.623 | 10447.9 |
| 380 | 2025-05-13 11:37:00 | disparity | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 379 | 2025-05-08 12:57:02 | disparity | 3 | 148641 | 38 | 26.236 | 5665.5 |
| 378 | 2025-05-07 21:50:55 | disparity | 3 | 148641 | 38 | 37.100 | 4006.5 |
| 377 | 2025-05-05 16:21:17 | disparity | 3 | 148641 | 38 | 7.250 | 20502.2 |
| 376 | 2025-05-04 13:23:00 | disparity | 1 | 81242 | 1 | 10.390 | 7819.2 |
| 375 | 2025-04-23 06:22:32 | disparity | 1 | 81242 | 1 | 3.593 | 22611.2 |
| 374 | 2025-04-22 18:03:39 | disparity | 1 | 81242 | 1 | 1.263 | 64324.6 |
| 373 | 2025-03-24 13:38:41 | disparity | 3 | 148641 | 38 | 28.393 | 5235.1 |
| 372 | 2025-03-23 20:18:27 | disparity | 2 | 121436 | 7 | 14.720 | 8249.7 |
| 371 | 2025-03-23 19:50:45 | disparity | 3 | 148641 | 38 | 36.156 | 4111.1 |
| 370 | 2025-03-22 08:12:45 | disparity | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 369 | 2025-03-14 18:06:09 | disparity | 3 | 148641 | 38 | 66.893 | 2222.1 |
| 368 | 2025-03-11 18:43:13 | disparity | 3 | 148641 | 38 | 42.703 | 3480.8 |
| 367 | 2025-03-10 20:19:45 | disparity | 3 | 148641 | 38 | 6.560 | 22658.7 |
| 366 | 2025-03-06 05:19:33 | disparity | 3 | 148641 | 38 | 34.766 | 4275.5 |
| 365 | 2025-03-04 00:56:54 | disparity | 3 | 148641 | 38 | 38.360 | 3874.9 |
| 364 | 2025-03-03 17:52:32 | disparity | 2 | 121436 | 7 | 17.313 | 7014.2 |
| 363 | 2025-03-03 17:51:53 | disparity | 3 | 148641 | 38 | 34.750 | 4277.4 |
| 362 | 2025-03-03 17:46:25 | disparity | 1 | 81242 | 1 | 3.326 | 24426.3 |
| 361 | 2025-02-28 09:44:36 | disparity | 1 | 81242 | 1 | 9.766 | 8318.9 |
| 360 | 2025-02-22 00:21:50 | disparity | 3 | 148641 | 38 | 45.156 | 3291.7 |
| 359 | 2025-02-22 00:21:47 | disparity | 2 | 121436 | 7 | 16.003 | 7588.3 |
| 358 | 2025-02-22 00:21:10 | disparity | 1 | 81242 | 1 | 6.376 | 12741.8 |
| 357 | 2025-02-20 10:23:22 | disparity | 1 | 81242 | 1 | 7.423 | 10944.6 |
| 356 | 2025-02-12 06:37:03 | disparity | 3 | 148641 | 38 | 36.330 | 4091.4 |
| 355 | 2025-02-02 00:51:09 | disparity | 3 | 148641 | 38 | 35.843 | 4147.0 |
| 354 | 2025-02-01 16:10:10 | disparity | 3 | 148641 | 38 | 53.770 | 2764.4 |
| 353 | 2025-01-30 00:39:13 | disparity | 3 | 148641 | 38 | 45.650 | 3256.1 |
| 352 | 2025-01-30 00:39:12 | disparity | 3 | 148641 | 38 | 33.553 | 4430.0 |
| 351 | 2025-01-30 00:39:24 | disparity | 2 | 121436 | 7 | 16.533 | 7345.1 |
| 350 | 2025-01-30 00:30:41 | disparity | 1 | 81242 | 1 | 3.986 | 20381.8 |
| 349 | 2025-01-20 20:23:52 | disparity | 2 | 121436 | 7 | 26.863 | 4520.6 |
| 348 | 2025-01-20 20:23:34 | disparity | 1 | 81242 | 1 | 4.766 | 17046.2 |
| 347 | 2025-01-20 20:03:37 | disparity | 3 | 148641 | 38 | 30.643 | 4850.7 |
| 346 | 2025-01-20 11:10:30 | disparity | 3 | 148641 | 38 | 36.736 | 4046.2 |
| 345 | 2025-01-20 11:10:33 | disparity | 2 | 121436 | 7 | 18.186 | 6677.4 |
| 344 | 2025-01-20 11:09:44 | disparity | 1 | 81242 | 1 | 5.593 | 14525.7 |
| 343 | 2024-12-31 23:18:21 | disparity | 4 | 165329 | 267 | 60.800 | 2719.2 |
| 342 | 2024-12-30 19:49:17 | disparity | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 341 | 2024-12-30 16:05:57 | disparity | 4 | 165329 | 267 | 63.100 | 2620.1 |
| 340 | 2024-12-30 13:10:55 | disparity | 4 | 165329 | 267 | 61.316 | 2696.3 |
| 339 | 2024-12-29 23:52:01 | disparity | 4 | 165329 | 267 | 39.850 | 4148.8 |
| 338 | 2024-12-29 18:34:11 | disparity | 1 | 81242 | 1 | 9.890 | 8214.6 |
| 337 | 2024-12-19 19:06:52 | disparity | 1 | 81242 | 1 | 3.283 | 24746.3 |
| 336 | 2024-12-16 16:20:44 | disparity | 1 | 81242 | 1 | 3.436 | 23644.4 |
| 335 | 2024-11-27 15:10:34 | disparity | 1 | 81242 | 1 | 1.533 | 52995.4 |
| 334 | 2024-11-20 11:50:41 | disparity | 3 | 148641 | 38 | 17.766 | 8366.6 |
| 333 | 2024-11-20 03:21:13 | disparity | 3 | 148641 | 38 | 43.736 | 3398.6 |
| 332 | 2024-11-19 20:46:40 | disparity | 3 | 148641 | 38 | 37.070 | 4009.7 |
| 331 | 2024-11-17 10:06:21 | disparity | 4 | 165329 | 267 | 74.036 | 2233.1 |
| 330 | 2024-11-16 14:57:14 | disparity | 3 | 148641 | 38 | 18.236 | 8151.0 |
| 329 | 2024-11-15 05:12:39 | disparity | 2 | 121436 | 7 | 14.423 | 8419.6 |
| 328 | 2024-11-15 05:11:11 | disparity | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 327 | 2024-11-13 09:30:19 | disparity | 3 | 148641 | 38 | 35.736 | 4159.4 |
| 326 | 2024-11-13 09:30:07 | disparity | 3 | 148641 | 38 | 37.986 | 3913.0 |
| 325 | 2024-11-13 09:30:22 | disparity | 2 | 121436 | 7 | 12.516 | 9702.5 |
| 324 | 2024-11-13 09:28:01 | disparity | 1 | 81242 | 1 | 1.313 | 61875.1 |
| 323 | 2024-11-12 07:58:35 | disparity | 3 | 148641 | 38 | 43.490 | 3417.8 |
| 322 | 2024-11-04 03:34:44 | disparity | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 321 | 2024-11-01 13:03:32 | disparity | 2 | 121436 | 7 | 21.626 | 5615.3 |
| 320 | 2024-10-24 22:07:14 | disparity | 3 | 148641 | 38 | 45.063 | 3298.5 |
| 319 | 2024-10-24 22:07:05 | disparity | 2 | 121436 | 7 | 19.170 | 6334.7 |
| 318 | 2024-10-19 09:48:46 | disparity | 3 | 148641 | 38 | 30.860 | 4816.6 |
| 317 | 2024-10-14 17:58:54 | disparity | 3 | 148641 | 38 | 36.410 | 4082.4 |
| 316 | 2024-10-14 02:07:43 | disparity | 3 | 148641 | 38 | 48.300 | 3077.5 |
| 315 | 2024-10-14 02:07:40 | disparity | 2 | 121436 | 7 | 18.143 | 6693.3 |
| 314 | 2024-10-14 01:19:16 | disparity | 1 | 81242 | 1 | 3.533 | 22995.2 |
| 313 | 2024-10-13 21:08:40 | disparity | 1 | 81242 | 1 | 5.923 | 13716.4 |
| 312 | 2024-10-13 20:53:52 | disparity | 4 | 165329 | 267 | 59.036 | 2800.5 |
| 311 | 2024-10-10 19:34:05 | disparity | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 310 | 2024-10-09 10:29:48 | disparity | 4 | 165329 | 267 | 55.660 | 2970.3 |
| 309 | 2024-09-28 01:16:41 | disparity | 1 | 81242 | 1 | 10.253 | 7923.7 |
| 308 | 2024-09-24 12:45:00 | disparity | 4 | 165329 | 267 | 138.660 | 1192.3 |
| 307 | 2024-09-12 10:44:02 | disparity | 1 | 81242 | 1 | 10.173 | 7986.0 |
| 306 | 2024-09-08 20:06:42 | disparity | 4 | 165329 | 267 | 100.230 | 1649.5 |
| 305 | 2024-09-08 02:37:07 | disparity | 4 | 165329 | 267 | 53.146 | 3110.8 |
| 304 | 2024-08-24 09:58:05 | disparity | 4 | 165329 | 267 | 102.960 | 1605.8 |
| 303 | 2024-08-13 16:11:08 | disparity | 4 | 165329 | 267 | 66.830 | 2473.9 |
| 302 | 2024-08-13 01:14:12 | disparity | 1 | 81242 | 1 | 8.393 | 9679.7 |
| 301 | 2024-08-10 22:52:10 | disparity | 1 | 81242 | 1 | 6.986 | 11629.3 |
| 300 | 2024-08-06 21:02:28 | disparity | 4 | 165329 | 267 | 30.016 | 5508.0 |