History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"glossary"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 467 | 2025-11-07 01:52:09 | glossary | 4 | 161609 | 322 | 11.956 | 13517.0 |
| 466 | 2025-11-02 20:06:45 | glossary | 4 | 161609 | 322 | 20.313 | 7955.9 |
| 465 | 2025-11-01 07:48:22 | glossary | 3 | 146162 | 47 | 6.983 | 20931.1 |
| 464 | 2025-10-31 15:38:10 | glossary | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 463 | 2025-10-31 08:20:40 | glossary | 4 | 161609 | 322 | 10.890 | 14840.1 |
| 462 | 2025-10-23 09:54:34 | glossary | 4 | 161609 | 322 | 75.486 | 2140.9 |
| 461 | 2025-10-23 00:18:40 | glossary | 4 | 161609 | 322 | 11.546 | 13997.0 |
| 460 | 2025-10-20 07:58:28 | glossary | 2 | 121059 | 9 | 17.753 | 6819.1 |
| 459 | 2025-10-08 01:09:16 | glossary | 2 | 121059 | 9 | 3.203 | 37795.5 |
| 458 | 2025-10-07 23:33:21 | glossary | 3 | 146162 | 47 | 12.126 | 12053.6 |
| 457 | 2025-10-06 08:30:54 | glossary | 3 | 146162 | 47 | 7.000 | 20880.3 |
| 456 | 2025-10-05 12:48:09 | glossary | 2 | 121059 | 9 | 3.530 | 34294.3 |
| 455 | 2025-10-05 11:32:59 | glossary | 1 | 82945 | 1 | 1.516 | 54713.1 |
| 454 | 2025-10-04 17:44:22 | glossary | 1 | 82945 | 1 | 1.346 | 61623.3 |
| 453 | 2025-10-04 04:10:39 | glossary | 4 | 161609 | 322 | 11.953 | 13520.4 |
| 452 | 2025-09-29 15:34:23 | glossary | 4 | 161609 | 322 | 10.830 | 14922.3 |
| 451 | 2025-09-29 06:53:05 | glossary | 3 | 146162 | 47 | 13.830 | 10568.5 |
| 450 | 2025-09-29 05:56:50 | glossary | 4 | 161609 | 322 | 11.343 | 14247.5 |
| 449 | 2025-09-28 16:48:28 | glossary | 4 | 161609 | 322 | 10.533 | 15343.1 |
| 448 | 2025-09-19 17:22:07 | glossary | 4 | 161609 | 322 | 21.456 | 7532.1 |
| 447 | 2025-09-19 16:40:50 | glossary | 4 | 161609 | 322 | 11.656 | 13864.9 |
| 446 | 2025-09-13 15:51:30 | glossary | 4 | 161609 | 322 | 17.020 | 9495.2 |
| 445 | 2025-09-13 09:21:08 | glossary | 4 | 161609 | 322 | 13.456 | 12010.2 |
| 444 | 2025-09-11 21:11:56 | glossary | 2 | 121059 | 9 | 3.893 | 31096.6 |
| 443 | 2025-09-09 02:43:45 | glossary | 1 | 82945 | 1 | 1.856 | 44690.2 |
| 442 | 2025-09-03 04:17:24 | glossary | 3 | 146162 | 47 | 6.846 | 21350.0 |
| 441 | 2025-09-01 15:05:41 | glossary | 1 | 82945 | 1 | 1.280 | 64800.8 |
| 440 | 2025-09-01 14:19:34 | glossary | 4 | 161609 | 322 | 10.330 | 15644.6 |
| 439 | 2025-09-01 10:36:59 | glossary | 1 | 82945 | 1 | 1.390 | 59672.7 |
| 438 | 2025-08-28 00:07:13 | glossary | 1 | 82945 | 1 | 1.406 | 58993.6 |
| 437 | 2025-08-27 20:33:26 | glossary | 4 | 161609 | 322 | 12.940 | 12489.1 |
| 436 | 2025-08-27 00:02:18 | glossary | 1 | 82945 | 1 | 1.593 | 52068.4 |
| 435 | 2025-08-26 22:29:09 | glossary | 1 | 82945 | 1 | 1.280 | 64800.8 |
| 434 | 2025-08-26 03:20:45 | glossary | 1 | 82945 | 1 | 1.453 | 57085.3 |
| 433 | 2025-08-25 14:32:15 | glossary | 4 | 161609 | 322 | 64.563 | 2503.1 |
| 432 | 2025-08-23 15:47:23 | glossary | 4 | 161609 | 322 | 49.456 | 3267.7 |
| 431 | 2025-08-19 10:36:15 | glossary | 3 | 146162 | 47 | 16.406 | 8909.1 |
| 430 | 2025-08-19 00:18:47 | glossary | 2 | 121059 | 9 | 8.343 | 14510.2 |
| 429 | 2025-08-17 22:42:05 | glossary | 1 | 82945 | 1 | 1.250 | 66356.0 |
| 428 | 2025-08-17 15:47:08 | glossary | 4 | 161609 | 322 | 52.050 | 3104.9 |
| 427 | 2025-08-16 22:59:13 | glossary | 4 | 161609 | 322 | 34.736 | 4652.5 |
| 426 | 2025-08-15 08:47:47 | glossary | 4 | 161609 | 322 | 54.396 | 2971.0 |
| 425 | 2025-08-15 07:14:12 | glossary | 4 | 161609 | 322 | 44.986 | 3592.4 |
| 424 | 2025-08-14 04:23:48 | glossary | 4 | 161609 | 322 | 12.940 | 12489.1 |
| 423 | 2025-08-04 03:26:10 | glossary | 1 | 82945 | 1 | 3.640 | 22787.1 |
| 422 | 2025-07-27 09:00:40 | glossary | 1 | 82945 | 1 | 4.576 | 18126.1 |
| 421 | 2025-07-23 23:59:26 | glossary | 1 | 82945 | 1 | 6.390 | 12980.4 |
| 420 | 2025-07-18 16:36:39 | glossary | 2 | 121059 | 9 | 8.673 | 13958.1 |
| 419 | 2025-07-13 18:04:26 | glossary | 1 | 82945 | 1 | 1.360 | 60989.0 |
| 418 | 2025-07-13 03:02:08 | glossary | 1 | 82945 | 1 | 1.406 | 58993.6 |
| 417 | 2025-07-12 14:37:21 | glossary | 2 | 121059 | 9 | 3.800 | 31857.6 |
| 416 | 2025-07-07 00:06:34 | glossary | 1 | 82945 | 1 | 7.063 | 11743.6 |
| 415 | 2025-06-26 08:31:55 | glossary | 1 | 82945 | 1 | 5.030 | 16490.1 |
| 414 | 2025-06-13 23:03:06 | glossary | 1 | 82945 | 1 | 8.733 | 9497.9 |
| 413 | 2025-06-08 04:09:21 | glossary | 1 | 82945 | 1 | 6.233 | 13307.4 |
| 412 | 2025-05-30 10:51:54 | glossary | 2 | 121059 | 9 | 20.000 | 6052.9 |
| 411 | 2025-05-28 10:52:16 | glossary | 1 | 82945 | 1 | 1.420 | 58412.0 |
| 410 | 2025-05-27 20:45:00 | glossary | 1 | 82945 | 1 | 1.376 | 60279.8 |
| 409 | 2025-05-24 23:33:35 | glossary | 3 | 146162 | 47 | 12.986 | 11255.4 |
| 408 | 2025-05-16 02:32:57 | glossary | 1 | 82945 | 1 | 7.703 | 10767.9 |
| 407 | 2025-05-09 19:26:08 | glossary | 2 | 121059 | 9 | 11.703 | 10344.3 |
| 406 | 2025-05-07 08:37:03 | glossary | 3 | 146162 | 47 | 6.220 | 23498.7 |
| 405 | 2025-05-02 02:01:07 | glossary | 1 | 82945 | 1 | 6.376 | 13008.9 |
| 404 | 2025-04-28 03:18:12 | glossary | 1 | 82945 | 1 | 6.906 | 12010.6 |
| 403 | 2025-04-23 08:08:00 | glossary | 1 | 82945 | 1 | 5.906 | 14044.2 |
| 402 | 2025-04-03 23:19:56 | glossary | 1 | 82945 | 1 | 7.186 | 11542.6 |
| 401 | 2025-04-01 22:36:25 | glossary | 1 | 82945 | 1 | 10.000 | 8294.5 |
| 400 | 2025-03-22 02:05:58 | glossary | 3 | 146162 | 47 | 17.343 | 8427.7 |
| 399 | 2025-03-19 22:06:11 | glossary | 3 | 146162 | 47 | 23.063 | 6337.5 |
| 398 | 2025-03-17 13:01:45 | glossary | 3 | 146162 | 47 | 36.906 | 3960.4 |
| 397 | 2025-03-17 00:19:14 | glossary | 3 | 146162 | 47 | 36.736 | 3978.7 |
| 396 | 2025-03-16 08:21:30 | glossary | 1 | 82945 | 1 | 6.126 | 13539.8 |
| 395 | 2025-03-16 07:16:11 | glossary | 3 | 146162 | 47 | 35.080 | 4166.5 |
| 394 | 2025-03-13 16:08:49 | glossary | 3 | 146162 | 47 | 33.456 | 4368.8 |
| 393 | 2025-03-11 15:02:50 | glossary | 3 | 146162 | 47 | 19.690 | 7423.2 |
| 392 | 2025-03-09 09:25:27 | glossary | 3 | 146162 | 47 | 30.020 | 4868.8 |
| 391 | 2025-03-08 16:09:53 | glossary | 1 | 82945 | 1 | 6.656 | 12461.7 |
| 390 | 2025-02-28 22:40:35 | glossary | 2 | 121059 | 9 | 17.813 | 6796.1 |
| 389 | 2025-02-28 03:06:12 | glossary | 1 | 82945 | 1 | 1.470 | 56425.2 |
| 388 | 2025-02-10 19:33:51 | glossary | 3 | 146162 | 47 | 35.600 | 4105.7 |
| 387 | 2025-02-08 02:37:24 | glossary | 3 | 146162 | 47 | 7.220 | 20244.0 |
| 386 | 2025-02-08 02:36:06 | glossary | 1 | 82945 | 1 | 1.360 | 60989.0 |
| 385 | 2025-02-07 19:18:46 | glossary | 4 | 161609 | 322 | 34.546 | 4678.1 |
| 384 | 2025-02-07 18:08:22 | glossary | 4 | 161609 | 322 | 71.523 | 2259.5 |
| 383 | 2025-02-06 11:48:06 | glossary | 4 | 161609 | 322 | 58.420 | 2766.3 |
| 382 | 2025-02-06 07:30:35 | glossary | 3 | 146162 | 47 | 15.156 | 9643.8 |
| 381 | 2025-02-06 07:30:33 | glossary | 4 | 161609 | 322 | 14.983 | 10786.2 |
| 380 | 2025-02-06 07:25:21 | glossary | 1 | 82945 | 1 | 2.216 | 37430.1 |
| 379 | 2025-02-05 17:08:33 | glossary | 1 | 82945 | 1 | 7.000 | 11849.3 |
| 378 | 2025-01-26 13:10:04 | glossary | 2 | 121059 | 9 | 3.470 | 34887.3 |
| 377 | 2025-01-25 01:40:36 | glossary | 2 | 121059 | 9 | 24.033 | 5037.2 |
| 376 | 2025-01-25 01:40:24 | glossary | 1 | 82945 | 1 | 8.750 | 9479.4 |
| 375 | 2025-01-09 21:44:54 | glossary | 2 | 121059 | 9 | 3.296 | 36729.1 |
| 374 | 2025-01-08 09:29:28 | glossary | 3 | 146162 | 47 | 19.686 | 7424.7 |
| 373 | 2025-01-07 01:56:25 | glossary | 1 | 82945 | 1 | 6.173 | 13436.7 |
| 372 | 2025-01-05 16:24:52 | glossary | 3 | 146162 | 47 | 33.753 | 4330.3 |
| 371 | 2025-01-03 07:30:18 | glossary | 3 | 146162 | 47 | 36.393 | 4016.2 |
| 370 | 2025-01-02 23:22:45 | glossary | 3 | 146162 | 47 | 34.410 | 4247.7 |
| 369 | 2025-01-02 16:41:56 | glossary | 1 | 82945 | 1 | 6.420 | 12919.8 |
| 368 | 2025-01-02 16:26:04 | glossary | 4 | 161609 | 322 | 67.816 | 2383.1 |