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 |
| 440 | 2026-04-17 12:13:17 | disparity | 3 | 148641 | 38 | 12.360 | 12026.0 |
| 439 | 2026-04-14 17:23:06 | disparity | 3 | 148641 | 38 | 20.326 | 7312.9 |
| 438 | 2026-04-07 09:25:11 | disparity | 2 | 121436 | 7 | 5.906 | 20561.5 |
| 437 | 2026-04-06 17:53:56 | disparity | 3 | 148641 | 38 | 33.660 | 4416.0 |
| 436 | 2026-04-02 18:39:58 | disparity | 1 | 81242 | 1 | 8.126 | 9997.8 |
| 435 | 2026-03-31 11:15:54 | disparity | 3 | 148641 | 38 | 34.630 | 4292.3 |
| 434 | 2026-03-25 04:40:26 | disparity | 3 | 148641 | 38 | 34.330 | 4329.8 |
| 433 | 2026-03-25 04:39:42 | disparity | 3 | 148641 | 38 | 35.656 | 4168.8 |
| 432 | 2026-03-25 04:39:05 | disparity | 3 | 148641 | 38 | 42.036 | 3536.0 |
| 431 | 2026-03-25 04:39:05 | disparity | 3 | 148641 | 38 | 30.100 | 4938.2 |
| 430 | 2026-03-24 09:37:49 | disparity | 2 | 121436 | 7 | 17.920 | 6776.6 |
| 429 | 2026-03-24 09:37:21 | disparity | 2 | 121436 | 7 | 15.156 | 8012.4 |
| 428 | 2026-03-23 22:53:09 | disparity | 3 | 148641 | 38 | 35.313 | 4209.2 |
| 427 | 2026-03-23 22:53:08 | disparity | 3 | 148641 | 38 | 36.206 | 4105.4 |
| 426 | 2026-03-22 09:55:09 | disparity | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 425 | 2026-03-21 18:50:11 | disparity | 4 | 165329 | 267 | 40.140 | 4118.8 |
| 424 | 2026-03-19 20:06:55 | disparity | 1 | 81242 | 1 | 6.140 | 13231.6 |
| 423 | 2026-03-19 18:21:15 | disparity | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 422 | 2026-03-12 21:23:30 | disparity | 1 | 81242 | 1 | 5.313 | 15291.2 |
| 421 | 2026-03-12 18:11:11 | disparity | 1 | 81242 | 1 | 1.326 | 61268.5 |
| 420 | 2026-03-10 15:21:16 | disparity | 1 | 81242 | 1 | 2.953 | 27511.7 |
| 419 | 2026-03-10 11:24:03 | disparity | 1 | 81242 | 1 | 1.516 | 53589.7 |
| 418 | 2026-03-10 10:28:57 | disparity | 1 | 81242 | 1 | 1.513 | 53696.0 |
| 417 | 2026-03-07 18:26:11 | disparity | 1 | 81242 | 1 | 2.720 | 29868.4 |
| 416 | 2026-02-07 02:59:04 | disparity | 1 | 81242 | 1 | 1.390 | 58447.5 |
| 415 | 2026-01-24 01:39:41 | disparity | 1 | 81242 | 1 | 1.436 | 56575.2 |
| 414 | 2026-01-23 21:10:45 | disparity | 1 | 81242 | 1 | 1.860 | 43678.5 |
| 413 | 2026-01-23 21:10:29 | disparity | 1 | 81242 | 1 | 2.030 | 40020.7 |
| 412 | 2026-01-23 00:39:10 | disparity | 1 | 81242 | 1 | 1.373 | 59171.2 |
| 411 | 2026-01-16 11:00:41 | disparity | 1 | 81242 | 1 | 7.096 | 11449.0 |
| 410 | 2026-01-16 05:01:33 | disparity | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 409 | 2026-01-15 23:56:12 | disparity | 1 | 81242 | 1 | 1.283 | 63321.9 |
| 408 | 2026-01-13 21:33:36 | disparity | 1 | 81242 | 1 | 3.500 | 23212.0 |
| 407 | 2025-12-12 06:32:45 | disparity | 4 | 165329 | 267 | 49.783 | 3321.0 |
| 406 | 2025-12-11 21:17:43 | disparity | 4 | 165329 | 267 | 64.086 | 2579.8 |
| 405 | 2025-12-10 21:24:04 | disparity | 4 | 165329 | 267 | 12.813 | 12903.2 |
| 404 | 2025-12-04 22:25:45 | disparity | 2 | 121436 | 7 | 3.953 | 30720.0 |
| 403 | 2025-12-04 18:52:40 | disparity | 1 | 81242 | 1 | 1.513 | 53696.0 |
| 402 | 2025-11-27 17:28:42 | disparity | 1 | 81242 | 1 | 1.296 | 62686.7 |
| 401 | 2025-10-13 12:14:23 | disparity | 1 | 81242 | 1 | 1.280 | 63470.3 |
| 400 | 2025-09-17 12:33:25 | disparity | 3 | 148641 | 38 | 6.343 | 23433.9 |
| 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 |