History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"stableness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 438 | 2025-10-27 12:07:18 | stableness | 1 | 67641 | 2 | 1.033 | 65480.2 |
| 437 | 2025-08-25 01:47:06 | stableness | 1 | 67641 | 2 | 5.390 | 12549.4 |
| 436 | 2025-08-09 14:31:57 | stableness | 1 | 67641 | 2 | 3.296 | 20522.1 |
| 435 | 2025-08-08 07:43:24 | stableness | 1 | 67641 | 2 | 2.376 | 28468.4 |
| 434 | 2025-08-05 07:55:22 | stableness | 1 | 67641 | 2 | 2.096 | 32271.5 |
| 433 | 2025-08-05 04:07:48 | stableness | 3 | 140603 | 74 | 15.406 | 9126.5 |
| 432 | 2025-08-04 01:49:21 | stableness | 1 | 67641 | 2 | 2.250 | 30062.7 |
| 431 | 2025-08-02 07:16:09 | stableness | 2 | 108824 | 10 | 9.900 | 10992.3 |
| 430 | 2025-08-02 06:55:36 | stableness | 3 | 140603 | 74 | 34.390 | 4088.5 |
| 429 | 2025-08-02 05:15:33 | stableness | 1 | 67641 | 2 | 7.596 | 8904.8 |
| 428 | 2025-08-01 12:30:28 | stableness | 1 | 67641 | 2 | 5.076 | 13325.7 |
| 427 | 2025-07-31 06:05:52 | stableness | 1 | 67641 | 2 | 1.106 | 61158.2 |
| 426 | 2025-07-19 14:40:00 | stableness | 1 | 67641 | 2 | 1.236 | 54725.7 |
| 425 | 2025-07-12 01:52:33 | stableness | 1 | 67641 | 2 | 1.170 | 57812.8 |
| 424 | 2025-07-10 10:40:21 | stableness | 1 | 67641 | 2 | 1.050 | 64420.0 |
| 423 | 2025-07-09 01:01:36 | stableness | 1 | 67641 | 2 | 1.080 | 62630.6 |
| 422 | 2025-07-04 01:28:04 | stableness | 1 | 67641 | 2 | 3.796 | 17819.0 |
| 421 | 2025-06-28 05:47:08 | stableness | 2 | 108824 | 10 | 16.656 | 6533.6 |
| 420 | 2025-06-26 11:38:37 | stableness | 1 | 67641 | 2 | 7.796 | 8676.4 |
| 419 | 2025-06-24 11:23:57 | stableness | 2 | 108824 | 10 | 8.500 | 12802.8 |
| 418 | 2025-06-23 12:24:03 | stableness | 1 | 67641 | 2 | 3.813 | 17739.6 |
| 417 | 2025-06-21 20:48:20 | stableness | 1 | 67641 | 2 | 5.673 | 11923.3 |
| 416 | 2025-06-20 03:47:00 | stableness | 4 | 161450 | 383 | 61.626 | 2619.8 |
| 415 | 2025-06-19 14:51:37 | stableness | 4 | 161450 | 383 | 29.906 | 5398.6 |
| 414 | 2025-06-17 22:38:12 | stableness | 4 | 161450 | 383 | 41.970 | 3846.8 |
| 413 | 2025-06-16 00:26:47 | stableness | 4 | 161450 | 383 | 39.253 | 4113.1 |
| 412 | 2025-06-15 14:03:50 | stableness | 4 | 161450 | 383 | 65.346 | 2470.7 |
| 411 | 2025-06-13 02:45:46 | stableness | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 410 | 2025-06-12 05:15:52 | stableness | 1 | 67641 | 2 | 6.093 | 11101.4 |
| 409 | 2025-06-10 05:24:14 | stableness | 1 | 67641 | 2 | 5.966 | 11337.7 |
| 408 | 2025-06-07 21:56:46 | stableness | 2 | 108824 | 10 | 13.343 | 8155.9 |
| 407 | 2025-06-07 14:54:17 | stableness | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 406 | 2025-06-02 00:55:27 | stableness | 1 | 67641 | 2 | 4.360 | 15514.0 |
| 405 | 2025-05-23 12:23:26 | stableness | 1 | 67641 | 2 | 4.203 | 16093.5 |
| 404 | 2025-05-19 18:46:47 | stableness | 1 | 67641 | 2 | 1.236 | 54725.7 |
| 403 | 2025-05-10 05:14:37 | stableness | 1 | 67641 | 2 | 3.983 | 16982.4 |
| 402 | 2025-05-05 03:18:35 | stableness | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 401 | 2025-04-30 00:48:48 | stableness | 4 | 161450 | 383 | 76.363 | 2114.2 |
| 400 | 2025-04-30 00:33:08 | stableness | 1 | 67641 | 2 | 4.470 | 15132.2 |
| 399 | 2025-04-29 14:20:08 | stableness | 4 | 161450 | 383 | 12.296 | 13130.3 |
| 398 | 2025-04-26 16:50:24 | stableness | 2 | 108824 | 10 | 20.940 | 5196.9 |
| 397 | 2025-04-26 15:34:32 | stableness | 4 | 161450 | 383 | 53.706 | 3006.2 |
| 396 | 2025-04-26 00:04:47 | stableness | 4 | 161450 | 383 | 71.596 | 2255.0 |
| 395 | 2025-04-25 10:46:51 | stableness | 1 | 67641 | 2 | 1.060 | 63812.3 |
| 394 | 2025-04-24 02:37:02 | stableness | 4 | 161450 | 383 | 78.053 | 2068.5 |
| 393 | 2025-04-23 11:38:01 | stableness | 1 | 67641 | 2 | 3.563 | 18984.3 |
| 392 | 2025-04-08 04:57:19 | stableness | 1 | 67641 | 2 | 5.453 | 12404.4 |
| 391 | 2025-04-06 18:39:33 | stableness | 4 | 161450 | 383 | 75.110 | 2149.5 |
| 390 | 2025-04-06 04:52:47 | stableness | 1 | 67641 | 2 | 3.766 | 17961.0 |
| 389 | 2025-03-29 16:32:31 | stableness | 1 | 67641 | 2 | 4.970 | 13609.9 |
| 388 | 2025-03-29 01:57:49 | stableness | 4 | 161450 | 383 | 63.900 | 2526.6 |
| 387 | 2025-03-28 16:57:20 | stableness | 3 | 140603 | 74 | 23.623 | 5952.0 |
| 386 | 2025-03-25 17:51:48 | stableness | 3 | 140603 | 74 | 31.313 | 4490.2 |
| 385 | 2025-03-24 21:58:13 | stableness | 2 | 108824 | 10 | 7.906 | 13764.7 |
| 384 | 2025-03-24 01:12:11 | stableness | 1 | 67641 | 2 | 5.233 | 12925.9 |
| 383 | 2025-03-23 06:09:18 | stableness | 3 | 140603 | 74 | 36.270 | 3876.6 |
| 382 | 2025-03-22 23:57:01 | stableness | 4 | 161450 | 383 | 73.300 | 2202.6 |
| 381 | 2025-03-22 17:54:07 | stableness | 3 | 140603 | 74 | 11.516 | 12209.4 |
| 380 | 2025-03-22 13:26:15 | stableness | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 379 | 2025-03-22 03:54:51 | stableness | 3 | 140603 | 74 | 8.330 | 16879.1 |
| 378 | 2025-03-18 11:43:38 | stableness | 3 | 140603 | 74 | 39.893 | 3524.5 |
| 377 | 2025-03-17 05:57:35 | stableness | 3 | 140603 | 74 | 34.140 | 4118.4 |
| 376 | 2025-03-13 15:01:39 | stableness | 1 | 67641 | 2 | 4.716 | 14342.9 |
| 375 | 2025-03-13 00:02:05 | stableness | 3 | 140603 | 74 | 35.160 | 3998.9 |
| 374 | 2025-03-08 19:36:34 | stableness | 3 | 140603 | 74 | 31.233 | 4501.7 |
| 373 | 2025-03-07 10:08:34 | stableness | 3 | 140603 | 74 | 43.160 | 3257.7 |
| 372 | 2025-03-07 07:30:16 | stableness | 1 | 67641 | 2 | 6.203 | 10904.6 |
| 371 | 2025-02-27 16:00:23 | stableness | 1 | 67641 | 2 | 5.406 | 12512.2 |
| 370 | 2025-02-19 06:59:04 | stableness | 3 | 140603 | 74 | 31.880 | 4410.4 |
| 369 | 2025-02-19 06:56:31 | stableness | 2 | 108824 | 10 | 7.110 | 15305.8 |
| 368 | 2025-02-19 06:55:14 | stableness | 1 | 67641 | 2 | 2.076 | 32582.4 |
| 367 | 2025-02-16 21:07:10 | stableness | 3 | 140603 | 74 | 29.520 | 4763.0 |
| 366 | 2025-02-16 21:07:01 | stableness | 2 | 108824 | 10 | 8.826 | 12329.9 |
| 365 | 2025-02-16 21:06:41 | stableness | 1 | 67641 | 2 | 3.033 | 22301.7 |
| 364 | 2025-02-09 00:08:11 | stableness | 3 | 140603 | 74 | 43.813 | 3209.2 |
| 363 | 2025-01-30 16:54:47 | stableness | 3 | 140603 | 74 | 28.813 | 4879.8 |
| 362 | 2025-01-29 19:23:42 | stableness | 1 | 67641 | 2 | 2.263 | 29890.0 |
| 361 | 2025-01-22 16:12:48 | stableness | 3 | 140603 | 74 | 38.236 | 3677.2 |
| 360 | 2025-01-22 16:11:18 | stableness | 3 | 140603 | 74 | 37.690 | 3730.5 |
| 359 | 2025-01-22 16:11:21 | stableness | 2 | 108824 | 10 | 13.360 | 8145.5 |
| 358 | 2025-01-22 16:11:01 | stableness | 1 | 67641 | 2 | 4.453 | 15190.0 |
| 357 | 2025-01-19 17:30:35 | stableness | 3 | 140603 | 74 | 29.843 | 4711.4 |
| 356 | 2025-01-19 17:30:38 | stableness | 2 | 108824 | 10 | 23.420 | 4646.6 |
| 355 | 2025-01-19 17:30:30 | stableness | 3 | 140603 | 74 | 27.690 | 5077.8 |
| 354 | 2025-01-19 17:28:45 | stableness | 1 | 67641 | 2 | 3.156 | 21432.5 |
| 353 | 2025-01-10 06:40:06 | stableness | 1 | 67641 | 2 | 5.813 | 11636.2 |
| 352 | 2024-12-30 17:31:33 | stableness | 1 | 67641 | 2 | 1.076 | 62863.4 |
| 351 | 2024-12-06 16:03:07 | stableness | 1 | 67641 | 2 | 3.720 | 18183.1 |
| 350 | 2024-12-02 06:59:53 | stableness | 3 | 140603 | 74 | 29.956 | 4693.7 |
| 349 | 2024-11-29 21:48:38 | stableness | 2 | 108824 | 10 | 21.126 | 5151.2 |
| 348 | 2024-11-29 21:48:29 | stableness | 3 | 140603 | 74 | 17.330 | 8113.3 |
| 347 | 2024-11-29 21:45:52 | stableness | 1 | 67641 | 2 | 5.780 | 11702.6 |
| 346 | 2024-11-29 21:09:44 | stableness | 3 | 140603 | 74 | 41.703 | 3371.5 |
| 345 | 2024-11-29 11:12:35 | stableness | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 344 | 2024-11-29 04:51:35 | stableness | 3 | 140603 | 74 | 38.640 | 3638.8 |
| 343 | 2024-11-29 04:51:29 | stableness | 2 | 108824 | 10 | 15.286 | 7119.2 |
| 342 | 2024-11-29 04:51:27 | stableness | 3 | 140603 | 74 | 16.423 | 8561.3 |
| 341 | 2024-11-29 04:48:10 | stableness | 1 | 67641 | 2 | 1.220 | 55443.4 |
| 340 | 2024-10-31 22:11:03 | stableness | 3 | 140603 | 74 | 36.720 | 3829.1 |
| 339 | 2024-10-31 22:10:59 | stableness | 3 | 140603 | 74 | 29.783 | 4720.9 |