History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"variability"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 468 | 2026-01-19 02:32:37 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 467 | 2026-01-16 04:55:45 | variability | 4 | 148819 | 159 | 10.093 | 14744.8 |
| 466 | 2026-01-15 18:05:29 | variability | 4 | 148819 | 159 | 9.330 | 15950.6 |
| 465 | 2026-01-15 00:18:09 | variability | 3 | 121633 | 49 | 4.703 | 25862.9 |
| 464 | 2026-01-10 16:25:40 | variability | 1 | 49908 | 1 | 5.970 | 8359.8 |
| 463 | 2026-01-10 16:25:17 | variability | 1 | 49908 | 1 | 3.923 | 12721.9 |
| 462 | 2026-01-08 19:25:10 | variability | 4 | 148819 | 159 | 12.250 | 12148.5 |
| 461 | 2026-01-08 10:49:59 | variability | 4 | 148819 | 159 | 10.296 | 14454.1 |
| 460 | 2026-01-07 23:40:33 | variability | 4 | 148819 | 159 | 9.486 | 15688.3 |
| 459 | 2026-01-07 14:52:21 | variability | 3 | 121633 | 49 | 4.500 | 27029.6 |
| 458 | 2026-01-06 17:55:27 | variability | 4 | 148819 | 159 | 16.826 | 8844.6 |
| 457 | 2026-01-05 08:34:01 | variability | 4 | 148819 | 159 | 10.080 | 14763.8 |
| 456 | 2026-01-05 03:07:56 | variability | 3 | 121633 | 49 | 12.970 | 9378.0 |
| 455 | 2026-01-05 00:59:15 | variability | 3 | 121633 | 49 | 10.673 | 11396.3 |
| 454 | 2026-01-04 09:18:31 | variability | 4 | 148819 | 159 | 9.690 | 15358.0 |
| 453 | 2026-01-04 08:43:16 | variability | 3 | 121633 | 49 | 9.483 | 12826.4 |
| 452 | 2026-01-03 09:15:18 | variability | 4 | 148819 | 159 | 41.923 | 3549.8 |
| 451 | 2026-01-03 01:09:21 | variability | 4 | 148819 | 159 | 8.766 | 16976.8 |
| 450 | 2026-01-03 00:48:21 | variability | 2 | 86808 | 6 | 2.356 | 36845.5 |
| 449 | 2026-01-02 23:38:03 | variability | 3 | 121633 | 49 | 5.406 | 22499.6 |
| 448 | 2026-01-02 22:10:52 | variability | 3 | 121633 | 49 | 10.153 | 11980.0 |
| 447 | 2026-01-02 13:05:43 | variability | 2 | 86808 | 6 | 2.390 | 36321.3 |
| 446 | 2026-01-02 04:24:49 | variability | 4 | 148819 | 159 | 9.610 | 15485.8 |
| 445 | 2026-01-02 03:40:22 | variability | 1 | 49908 | 1 | 1.046 | 47713.2 |
| 444 | 2026-01-02 00:23:54 | variability | 3 | 121633 | 49 | 4.983 | 24409.6 |
| 443 | 2026-01-01 18:40:32 | variability | 4 | 148819 | 159 | 8.656 | 17192.6 |
| 442 | 2026-01-01 05:16:20 | variability | 2 | 86808 | 6 | 2.470 | 35144.9 |
| 441 | 2026-01-01 03:02:45 | variability | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 440 | 2025-12-31 19:14:54 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 439 | 2025-12-31 14:18:01 | variability | 3 | 121633 | 49 | 5.720 | 21264.5 |
| 438 | 2025-12-31 01:38:23 | variability | 2 | 86808 | 6 | 2.360 | 36783.1 |
| 437 | 2025-12-30 03:11:07 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 436 | 2025-12-30 00:14:18 | variability | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 435 | 2025-12-29 22:34:55 | variability | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 434 | 2025-12-29 05:04:54 | variability | 2 | 86808 | 6 | 2.450 | 35431.8 |
| 433 | 2025-12-28 20:16:52 | variability | 2 | 86808 | 6 | 3.736 | 23235.5 |
| 432 | 2025-12-28 15:42:23 | variability | 3 | 121633 | 49 | 5.236 | 23230.1 |
| 431 | 2025-12-28 12:21:50 | variability | 2 | 86808 | 6 | 2.263 | 38359.7 |
| 430 | 2025-12-28 11:25:00 | variability | 2 | 86808 | 6 | 2.500 | 34723.2 |
| 429 | 2025-12-28 09:46:55 | variability | 2 | 86808 | 6 | 2.360 | 36783.1 |
| 428 | 2025-12-28 08:35:26 | variability | 1 | 49908 | 1 | 0.763 | 65410.2 |
| 427 | 2025-12-28 07:50:47 | variability | 4 | 148819 | 159 | 9.500 | 15665.2 |
| 426 | 2025-12-28 05:18:54 | variability | 3 | 121633 | 49 | 4.830 | 25182.8 |
| 425 | 2025-12-28 05:15:36 | variability | 3 | 121633 | 49 | 5.500 | 22115.1 |
| 424 | 2025-12-28 05:11:23 | variability | 3 | 121633 | 49 | 4.923 | 24707.1 |
| 423 | 2025-12-28 00:48:24 | variability | 1 | 49908 | 1 | 0.940 | 53093.6 |
| 422 | 2025-12-27 01:15:05 | variability | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 421 | 2025-12-26 23:30:32 | variability | 3 | 121633 | 49 | 13.673 | 8895.9 |
| 420 | 2025-12-26 01:10:01 | variability | 2 | 86808 | 6 | 2.063 | 42078.5 |
| 419 | 2025-12-25 19:08:45 | variability | 1 | 49908 | 1 | 0.890 | 56076.4 |
| 418 | 2025-12-25 10:22:35 | variability | 2 | 86808 | 6 | 3.343 | 25967.1 |
| 417 | 2025-12-25 09:02:59 | variability | 3 | 121633 | 49 | 5.016 | 24249.0 |
| 416 | 2025-12-25 08:01:06 | variability | 3 | 121633 | 49 | 5.093 | 23882.4 |
| 415 | 2025-12-24 23:14:25 | variability | 2 | 86808 | 6 | 2.483 | 34960.9 |
| 414 | 2025-12-24 11:30:19 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 413 | 2025-12-24 00:44:37 | variability | 1 | 49908 | 1 | 4.140 | 12055.1 |
| 412 | 2025-12-04 22:27:18 | variability | 1 | 49908 | 1 | 0.906 | 55086.1 |
| 411 | 2025-11-29 05:00:35 | variability | 1 | 49908 | 1 | 0.830 | 60130.1 |
| 410 | 2025-11-14 16:04:25 | variability | 1 | 49908 | 1 | 2.720 | 18348.5 |
| 409 | 2025-11-04 03:16:16 | variability | 4 | 148819 | 159 | 14.563 | 10219.0 |
| 408 | 2025-11-03 01:26:45 | variability | 1 | 49908 | 1 | 1.453 | 34348.2 |
| 407 | 2025-11-01 17:25:38 | variability | 1 | 49908 | 1 | 0.860 | 58032.6 |
| 406 | 2025-10-27 06:07:56 | variability | 1 | 49908 | 1 | 0.810 | 61614.8 |
| 405 | 2025-10-23 20:27:20 | variability | 2 | 86808 | 6 | 9.703 | 8946.5 |
| 404 | 2025-10-23 20:27:12 | variability | 2 | 86808 | 6 | 11.516 | 7538.0 |
| 403 | 2025-10-23 18:35:12 | variability | 1 | 49908 | 1 | 1.606 | 31076.0 |
| 402 | 2025-09-28 17:35:27 | variability | 1 | 49908 | 1 | 0.813 | 61387.5 |
| 401 | 2025-09-19 11:00:26 | variability | 2 | 86808 | 6 | 2.266 | 38308.9 |
| 400 | 2025-09-09 20:28:12 | variability | 1 | 49908 | 1 | 0.796 | 62698.5 |
| 399 | 2025-09-05 08:09:15 | variability | 2 | 86808 | 6 | 2.170 | 40003.7 |
| 398 | 2025-09-05 06:49:07 | variability | 3 | 121633 | 49 | 4.593 | 26482.3 |
| 397 | 2025-09-04 13:38:19 | variability | 4 | 148819 | 159 | 9.970 | 14926.7 |
| 396 | 2025-09-02 16:35:11 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
| 395 | 2025-09-02 07:40:41 | variability | 4 | 148819 | 159 | 9.563 | 15562.0 |
| 394 | 2025-08-29 01:09:50 | variability | 2 | 86808 | 6 | 2.076 | 41815.0 |
| 393 | 2025-08-25 12:34:11 | variability | 1 | 49908 | 1 | 5.720 | 8725.2 |
| 392 | 2025-08-22 07:51:41 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 391 | 2025-08-12 14:46:14 | variability | 4 | 148819 | 159 | 22.816 | 6522.6 |
| 390 | 2025-08-10 09:09:30 | variability | 4 | 148819 | 159 | 23.783 | 6257.4 |
| 389 | 2025-08-09 04:57:28 | variability | 1 | 49908 | 1 | 2.420 | 20623.1 |
| 388 | 2025-08-09 02:30:42 | variability | 1 | 49908 | 1 | 3.783 | 13192.7 |
| 387 | 2025-08-07 02:18:16 | variability | 4 | 148819 | 159 | 44.253 | 3362.9 |
| 386 | 2025-08-05 04:49:24 | variability | 1 | 49908 | 1 | 3.016 | 16547.7 |
| 385 | 2025-08-04 02:57:06 | variability | 1 | 49908 | 1 | 2.580 | 19344.2 |
| 384 | 2025-08-04 02:08:18 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 383 | 2025-08-03 02:30:30 | variability | 1 | 49908 | 1 | 2.046 | 24393.0 |
| 382 | 2025-08-02 10:43:31 | variability | 4 | 148819 | 159 | 39.643 | 3754.0 |
| 381 | 2025-07-27 19:55:09 | variability | 4 | 148819 | 159 | 33.690 | 4417.3 |
| 380 | 2025-07-19 16:12:05 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
| 379 | 2025-07-11 23:14:47 | variability | 1 | 49908 | 1 | 0.800 | 62385.0 |
| 378 | 2025-07-08 08:15:59 | variability | 4 | 148819 | 159 | 68.770 | 2164.0 |
| 377 | 2025-07-07 12:07:32 | variability | 4 | 148819 | 159 | 49.940 | 2980.0 |
| 376 | 2025-07-07 02:16:22 | variability | 1 | 49908 | 1 | 3.593 | 13890.3 |
| 375 | 2025-07-04 11:23:30 | variability | 4 | 148819 | 159 | 10.000 | 14881.9 |
| 374 | 2025-07-02 12:46:29 | variability | 4 | 148819 | 159 | 56.430 | 2637.2 |
| 373 | 2025-07-01 20:37:12 | variability | 1 | 49908 | 1 | 4.233 | 11790.2 |
| 372 | 2025-06-25 06:37:17 | variability | 3 | 121633 | 49 | 28.066 | 4333.8 |
| 371 | 2025-06-23 01:17:17 | variability | 2 | 86808 | 6 | 2.156 | 40263.5 |
| 370 | 2025-06-22 12:51:00 | variability | 1 | 49908 | 1 | 4.423 | 11283.7 |
| 369 | 2025-06-21 20:49:58 | variability | 1 | 49908 | 1 | 4.093 | 12193.5 |