History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"constraint"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 452 | 2025-11-03 07:08:13 | constraint | 4 | 161450 | 196 | 10.173 | 15870.4 |
| 451 | 2025-11-02 23:00:15 | constraint | 4 | 161450 | 196 | 19.076 | 8463.5 |
| 450 | 2025-10-19 21:05:00 | constraint | 1 | 67641 | 4 | 5.640 | 11993.1 |
| 449 | 2025-10-19 21:04:51 | constraint | 1 | 67641 | 4 | 6.173 | 10957.6 |
| 448 | 2025-10-19 21:04:41 | constraint | 1 | 67641 | 4 | 4.560 | 14833.6 |
| 447 | 2025-10-19 21:04:33 | constraint | 1 | 67641 | 4 | 2.513 | 26916.4 |
| 446 | 2025-10-18 17:23:37 | constraint | 2 | 108824 | 9 | 6.250 | 17411.8 |
| 445 | 2025-10-16 16:07:50 | constraint | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 444 | 2025-10-12 12:30:30 | constraint | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 443 | 2025-10-11 13:24:22 | constraint | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 442 | 2025-10-10 07:25:29 | constraint | 1 | 67641 | 4 | 1.233 | 54858.9 |
| 441 | 2025-10-08 13:43:10 | constraint | 2 | 108824 | 9 | 3.280 | 33178.0 |
| 440 | 2025-10-08 01:27:37 | constraint | 3 | 140603 | 28 | 6.736 | 20873.4 |
| 439 | 2025-10-07 23:30:18 | constraint | 3 | 140603 | 28 | 6.326 | 22226.2 |
| 438 | 2025-10-02 12:22:21 | constraint | 4 | 161450 | 196 | 11.126 | 14511.1 |
| 437 | 2025-09-28 16:18:37 | constraint | 1 | 67641 | 4 | 1.250 | 54112.8 |
| 436 | 2025-09-28 03:34:16 | constraint | 1 | 67641 | 4 | 1.076 | 62863.4 |
| 435 | 2025-09-25 15:06:17 | constraint | 4 | 161450 | 196 | 87.070 | 1854.3 |
| 434 | 2025-09-25 15:04:02 | constraint | 4 | 161450 | 196 | 58.193 | 2774.4 |
| 433 | 2025-09-25 15:02:54 | constraint | 4 | 161450 | 196 | 80.943 | 1994.6 |
| 432 | 2025-09-25 15:01:54 | constraint | 4 | 161450 | 196 | 61.220 | 2637.2 |
| 431 | 2025-09-23 22:56:01 | constraint | 3 | 140603 | 28 | 6.596 | 21316.4 |
| 430 | 2025-09-23 16:45:38 | constraint | 4 | 161450 | 196 | 10.173 | 15870.4 |
| 429 | 2025-09-23 05:31:23 | constraint | 3 | 140603 | 28 | 6.453 | 21788.8 |
| 428 | 2025-09-22 10:11:58 | constraint | 4 | 161450 | 196 | 10.173 | 15870.4 |
| 427 | 2025-09-21 14:41:41 | constraint | 2 | 108824 | 9 | 2.860 | 38050.3 |
| 426 | 2025-09-08 13:00:47 | constraint | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 425 | 2025-09-08 13:00:17 | constraint | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 424 | 2025-09-08 12:30:15 | constraint | 1 | 67641 | 4 | 1.186 | 57032.9 |
| 423 | 2025-09-06 23:32:36 | constraint | 1 | 67641 | 4 | 1.373 | 49265.1 |
| 422 | 2025-09-05 09:45:22 | constraint | 2 | 108824 | 9 | 3.140 | 34657.3 |
| 421 | 2025-09-04 06:50:19 | constraint | 3 | 140603 | 28 | 5.766 | 24384.8 |
| 420 | 2025-09-01 21:30:17 | constraint | 1 | 67641 | 4 | 1.080 | 62630.6 |
| 419 | 2025-09-01 18:00:18 | constraint | 4 | 161450 | 196 | 10.940 | 14757.8 |
| 418 | 2025-08-31 18:51:49 | constraint | 1 | 67641 | 4 | 1.236 | 54725.7 |
| 417 | 2025-08-28 06:13:09 | constraint | 1 | 67641 | 4 | 1.170 | 57812.8 |
| 416 | 2025-08-27 05:39:22 | constraint | 1 | 67641 | 4 | 1.296 | 52192.1 |
| 415 | 2025-08-27 02:06:29 | constraint | 4 | 161450 | 196 | 12.466 | 12951.2 |
| 414 | 2025-08-19 10:46:54 | constraint | 3 | 140603 | 28 | 15.533 | 9051.9 |
| 413 | 2025-08-18 07:27:58 | constraint | 4 | 161450 | 196 | 10.000 | 16145.0 |
| 412 | 2025-08-18 06:04:17 | constraint | 2 | 108824 | 9 | 2.780 | 39145.3 |
| 411 | 2025-08-18 04:21:26 | constraint | 3 | 140603 | 28 | 6.140 | 22899.5 |
| 410 | 2025-08-16 15:06:13 | constraint | 2 | 108824 | 9 | 2.860 | 38050.3 |
| 409 | 2025-08-16 13:26:15 | constraint | 3 | 140603 | 28 | 6.466 | 21745.0 |
| 408 | 2025-08-14 05:48:27 | constraint | 4 | 161450 | 196 | 11.706 | 13792.1 |
| 407 | 2025-08-14 00:47:57 | constraint | 3 | 140603 | 28 | 5.970 | 23551.6 |
| 406 | 2025-08-14 00:11:25 | constraint | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 405 | 2025-08-12 18:44:20 | constraint | 4 | 161450 | 196 | 31.940 | 5054.8 |
| 404 | 2025-08-09 18:36:52 | constraint | 1 | 67641 | 4 | 1.093 | 61885.6 |
| 403 | 2025-08-09 08:54:38 | constraint | 1 | 67641 | 4 | 4.220 | 16028.7 |
| 402 | 2025-08-04 20:43:33 | constraint | 4 | 161450 | 196 | 27.520 | 5866.6 |
| 401 | 2025-07-28 02:29:09 | constraint | 4 | 161450 | 196 | 26.956 | 5989.4 |
| 400 | 2025-07-28 01:29:04 | constraint | 4 | 161450 | 196 | 31.313 | 5156.0 |
| 399 | 2025-07-27 22:21:06 | constraint | 4 | 161450 | 196 | 28.563 | 5652.4 |
| 398 | 2025-07-25 07:19:00 | constraint | 1 | 67641 | 4 | 3.016 | 22427.4 |
| 397 | 2025-07-19 10:41:59 | constraint | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 396 | 2025-07-18 03:12:14 | constraint | 1 | 67641 | 4 | 5.830 | 11602.2 |
| 395 | 2025-07-05 17:37:06 | constraint | 1 | 67641 | 4 | 5.940 | 11387.4 |
| 394 | 2025-06-29 10:25:26 | constraint | 1 | 67641 | 4 | 1.750 | 38652.0 |
| 393 | 2025-06-27 07:37:09 | constraint | 1 | 67641 | 4 | 5.830 | 11602.2 |
| 392 | 2025-06-16 06:58:19 | constraint | 1 | 67641 | 4 | 6.000 | 11273.5 |
| 391 | 2025-06-09 22:01:45 | constraint | 1 | 67641 | 4 | 7.000 | 9663.0 |
| 390 | 2025-06-08 07:05:30 | constraint | 1 | 67641 | 4 | 5.610 | 12057.2 |
| 389 | 2025-06-04 07:26:50 | constraint | 1 | 67641 | 4 | 2.763 | 24481.0 |
| 388 | 2025-05-26 10:06:15 | constraint | 1 | 67641 | 4 | 5.970 | 11330.2 |
| 387 | 2025-05-24 08:53:00 | constraint | 1 | 67641 | 4 | 6.030 | 11217.4 |
| 386 | 2025-05-22 18:20:12 | constraint | 1 | 67641 | 4 | 5.656 | 11959.2 |
| 385 | 2025-05-16 06:55:05 | constraint | 1 | 67641 | 4 | 8.623 | 7844.3 |
| 384 | 2025-04-29 06:28:09 | constraint | 1 | 67641 | 4 | 1.310 | 51634.4 |
| 383 | 2025-04-28 08:31:27 | constraint | 3 | 140603 | 28 | 28.423 | 4946.8 |
| 382 | 2025-04-26 21:40:11 | constraint | 1 | 67641 | 4 | 1.263 | 53555.8 |
| 381 | 2025-04-23 10:05:05 | constraint | 1 | 67641 | 4 | 4.626 | 14621.9 |
| 380 | 2025-04-23 07:22:20 | constraint | 1 | 67641 | 4 | 5.923 | 11420.1 |
| 379 | 2025-03-25 08:17:26 | constraint | 1 | 67641 | 4 | 5.720 | 11825.3 |
| 378 | 2025-03-23 10:05:22 | constraint | 3 | 140603 | 28 | 46.956 | 2994.4 |
| 377 | 2025-03-22 18:23:45 | constraint | 1 | 67641 | 4 | 2.406 | 28113.5 |
| 376 | 2025-03-21 22:46:44 | constraint | 1 | 67641 | 4 | 6.326 | 10692.5 |
| 375 | 2025-03-21 12:22:54 | constraint | 1 | 67641 | 4 | 6.000 | 11273.5 |
| 374 | 2025-03-11 23:30:36 | constraint | 1 | 67641 | 4 | 4.033 | 16771.9 |
| 373 | 2025-02-21 20:11:44 | constraint | 1 | 67641 | 4 | 7.453 | 9075.7 |
| 372 | 2025-02-08 14:21:19 | constraint | 1 | 67641 | 4 | 5.250 | 12884.0 |
| 371 | 2025-01-26 00:14:01 | constraint | 1 | 67641 | 4 | 3.873 | 17464.8 |
| 370 | 2025-01-20 16:21:13 | constraint | 1 | 67641 | 4 | 5.033 | 13439.5 |
| 369 | 2025-01-19 15:30:43 | constraint | 1 | 67641 | 4 | 6.970 | 9704.6 |
| 368 | 2025-01-01 13:42:33 | constraint | 3 | 140603 | 28 | 31.030 | 4531.2 |
| 367 | 2024-12-26 12:19:43 | constraint | 3 | 140603 | 28 | 22.860 | 6150.6 |
| 366 | 2024-12-24 22:13:10 | constraint | 3 | 140603 | 28 | 31.410 | 4476.4 |
| 365 | 2024-12-24 22:13:17 | constraint | 2 | 108824 | 9 | 14.706 | 7400.0 |
| 364 | 2024-12-24 22:10:25 | constraint | 1 | 67641 | 4 | 1.233 | 54858.9 |
| 363 | 2024-12-23 19:53:57 | constraint | 3 | 140603 | 28 | 17.770 | 7912.4 |
| 362 | 2024-12-23 19:53:50 | constraint | 2 | 108824 | 9 | 9.126 | 11924.6 |
| 361 | 2024-12-22 09:24:36 | constraint | 4 | 161450 | 196 | 58.276 | 2770.4 |
| 360 | 2024-12-20 15:14:41 | constraint | 3 | 140603 | 28 | 25.846 | 5440.0 |
| 359 | 2024-12-20 14:19:54 | constraint | 4 | 161450 | 196 | 75.616 | 2135.1 |
| 358 | 2024-12-20 14:19:56 | constraint | 3 | 140603 | 28 | 41.806 | 3363.2 |
| 357 | 2024-12-20 14:19:56 | constraint | 2 | 108824 | 9 | 13.176 | 8259.3 |
| 356 | 2024-12-20 14:17:03 | constraint | 1 | 67641 | 4 | 7.343 | 9211.6 |
| 355 | 2024-12-09 00:57:40 | constraint | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 354 | 2024-12-06 03:46:50 | constraint | 1 | 67641 | 4 | 6.160 | 10980.7 |
| 353 | 2024-12-06 03:10:20 | constraint | 1 | 67641 | 4 | 8.076 | 8375.6 |