History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"quantizing"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 427 | 2025-10-28 06:24:49 | quantizing | 4 | 161450 | 224 | 10.970 | 14717.4 |
| 426 | 2025-10-27 23:48:20 | quantizing | 2 | 108824 | 3 | 3.360 | 32388.1 |
| 425 | 2025-10-26 12:38:36 | quantizing | 1 | 67641 | 1 | 1.106 | 61158.2 |
| 424 | 2025-10-18 08:38:01 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 423 | 2025-10-04 15:46:43 | quantizing | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 422 | 2025-09-26 06:55:22 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 421 | 2025-09-24 17:38:55 | quantizing | 3 | 140603 | 29 | 5.940 | 23670.5 |
| 420 | 2025-09-20 02:19:06 | quantizing | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 419 | 2025-09-14 23:53:57 | quantizing | 2 | 108824 | 3 | 3.126 | 34812.5 |
| 418 | 2025-09-11 07:09:38 | quantizing | 2 | 108824 | 3 | 3.093 | 35184.0 |
| 417 | 2025-09-10 19:30:26 | quantizing | 2 | 108824 | 3 | 3.236 | 33629.2 |
| 416 | 2025-09-10 09:33:17 | quantizing | 3 | 140603 | 29 | 6.266 | 22439.0 |
| 415 | 2025-09-08 04:23:24 | quantizing | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 414 | 2025-09-07 09:23:49 | quantizing | 4 | 161450 | 224 | 10.360 | 15584.0 |
| 413 | 2025-09-02 18:48:21 | quantizing | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 412 | 2025-08-24 07:25:04 | quantizing | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 411 | 2025-08-18 21:51:25 | quantizing | 1 | 67641 | 1 | 7.216 | 9373.8 |
| 410 | 2025-08-17 12:23:26 | quantizing | 1 | 67641 | 1 | 2.266 | 29850.4 |
| 409 | 2025-08-15 03:04:30 | quantizing | 1 | 67641 | 1 | 3.263 | 20729.7 |
| 408 | 2025-08-13 00:37:57 | quantizing | 4 | 161450 | 224 | 50.173 | 3217.9 |
| 407 | 2025-08-11 00:24:36 | quantizing | 4 | 161450 | 224 | 11.266 | 14330.7 |
| 406 | 2025-08-10 11:42:37 | quantizing | 1 | 67641 | 1 | 4.266 | 15855.8 |
| 405 | 2025-08-06 22:59:54 | quantizing | 4 | 161450 | 224 | 51.300 | 3147.2 |
| 404 | 2025-08-01 19:34:05 | quantizing | 4 | 161450 | 224 | 45.626 | 3538.6 |
| 403 | 2025-07-31 05:51:46 | quantizing | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 402 | 2025-07-25 11:23:26 | quantizing | 1 | 67641 | 1 | 5.453 | 12404.4 |
| 401 | 2025-07-16 06:32:19 | quantizing | 4 | 161450 | 224 | 21.533 | 7497.8 |
| 400 | 2025-07-16 04:51:03 | quantizing | 1 | 67641 | 1 | 5.326 | 12700.2 |
| 399 | 2025-07-15 08:34:01 | quantizing | 1 | 67641 | 1 | 6.393 | 10580.5 |
| 398 | 2025-07-13 18:05:21 | quantizing | 4 | 161450 | 224 | 11.466 | 14080.8 |
| 397 | 2025-07-13 07:04:45 | quantizing | 2 | 108824 | 3 | 3.190 | 34114.1 |
| 396 | 2025-07-13 00:06:13 | quantizing | 3 | 140603 | 29 | 29.280 | 4802.0 |
| 395 | 2025-07-10 01:07:36 | quantizing | 1 | 67641 | 1 | 3.466 | 19515.6 |
| 394 | 2025-07-07 10:54:05 | quantizing | 1 | 67641 | 1 | 2.470 | 27385.0 |
| 393 | 2025-07-02 15:10:44 | quantizing | 3 | 140603 | 29 | 22.673 | 6201.3 |
| 392 | 2025-07-02 01:08:35 | quantizing | 3 | 140603 | 29 | 40.753 | 3450.1 |
| 391 | 2025-06-28 06:20:56 | quantizing | 4 | 161450 | 224 | 68.796 | 2346.8 |
| 390 | 2025-06-27 23:26:08 | quantizing | 1 | 67641 | 1 | 8.216 | 8232.8 |
| 389 | 2025-06-27 03:57:34 | quantizing | 4 | 161450 | 224 | 54.626 | 2955.6 |
| 388 | 2025-06-26 21:33:06 | quantizing | 2 | 108824 | 3 | 16.423 | 6626.3 |
| 387 | 2025-06-26 21:20:07 | quantizing | 3 | 140603 | 29 | 22.736 | 6184.2 |
| 386 | 2025-06-26 05:02:53 | quantizing | 1 | 67641 | 1 | 2.453 | 27574.8 |
| 385 | 2025-06-23 00:23:11 | quantizing | 3 | 140603 | 29 | 24.440 | 5753.0 |
| 384 | 2025-06-16 14:22:47 | quantizing | 1 | 67641 | 1 | 2.780 | 24331.3 |
| 383 | 2025-06-12 16:20:04 | quantizing | 3 | 140603 | 29 | 54.813 | 2565.1 |
| 382 | 2025-06-12 05:59:17 | quantizing | 2 | 108824 | 3 | 16.623 | 6546.6 |
| 381 | 2025-06-11 23:48:42 | quantizing | 3 | 140603 | 29 | 44.626 | 3150.7 |
| 380 | 2025-06-09 23:12:51 | quantizing | 1 | 67641 | 1 | 4.890 | 13832.5 |
| 379 | 2025-05-28 21:44:41 | quantizing | 1 | 67641 | 1 | 5.483 | 12336.5 |
| 378 | 2025-05-28 19:13:11 | quantizing | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 377 | 2025-05-26 21:07:27 | quantizing | 1 | 67641 | 1 | 6.016 | 11243.5 |
| 376 | 2025-05-26 05:06:14 | quantizing | 1 | 67641 | 1 | 5.330 | 12690.6 |
| 375 | 2025-05-07 23:58:31 | quantizing | 1 | 67641 | 1 | 3.906 | 17317.2 |
| 374 | 2025-05-06 23:27:33 | quantizing | 1 | 67641 | 1 | 2.376 | 28468.4 |
| 373 | 2025-04-27 21:40:20 | quantizing | 1 | 67641 | 1 | 8.110 | 8340.4 |
| 372 | 2025-04-25 17:22:44 | quantizing | 3 | 140603 | 29 | 7.876 | 17852.1 |
| 371 | 2025-04-11 09:48:12 | quantizing | 1 | 67641 | 1 | 8.016 | 8438.2 |
| 370 | 2025-04-05 22:42:33 | quantizing | 1 | 67641 | 1 | 4.970 | 13609.9 |
| 369 | 2025-04-02 13:15:23 | quantizing | 1 | 67641 | 1 | 5.156 | 13118.9 |
| 368 | 2025-04-01 21:48:16 | quantizing | 2 | 108824 | 3 | 11.326 | 9608.3 |
| 367 | 2025-03-31 04:35:36 | quantizing | 1 | 67641 | 1 | 3.266 | 20710.7 |
| 366 | 2025-03-24 22:06:58 | quantizing | 1 | 67641 | 1 | 3.436 | 19686.0 |
| 365 | 2025-03-21 03:17:20 | quantizing | 1 | 67641 | 1 | 2.966 | 22805.5 |
| 364 | 2025-03-05 06:56:32 | quantizing | 1 | 67641 | 1 | 3.716 | 18202.6 |
| 363 | 2025-02-15 10:00:20 | quantizing | 2 | 108824 | 3 | 14.720 | 7392.9 |
| 362 | 2025-02-07 10:36:06 | quantizing | 3 | 140603 | 29 | 32.830 | 4282.8 |
| 361 | 2025-02-07 10:35:51 | quantizing | 3 | 140603 | 29 | 41.956 | 3351.2 |
| 360 | 2025-02-07 10:36:05 | quantizing | 2 | 108824 | 3 | 7.486 | 14537.0 |
| 359 | 2025-02-06 02:08:48 | quantizing | 3 | 140603 | 29 | 46.796 | 3004.6 |
| 358 | 2025-02-05 12:47:00 | quantizing | 3 | 140603 | 29 | 31.673 | 4439.2 |
| 357 | 2025-02-05 12:47:02 | quantizing | 2 | 108824 | 3 | 20.626 | 5276.1 |
| 356 | 2025-02-05 12:46:55 | quantizing | 3 | 140603 | 29 | 21.110 | 6660.5 |
| 355 | 2025-02-05 12:41:59 | quantizing | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 354 | 2025-01-31 11:34:34 | quantizing | 1 | 67641 | 1 | 7.563 | 8943.7 |
| 353 | 2025-01-28 23:41:38 | quantizing | 1 | 67641 | 1 | 2.576 | 26258.2 |
| 352 | 2025-01-24 23:45:50 | quantizing | 1 | 67641 | 1 | 0.970 | 69733.0 |
| 351 | 2024-12-24 19:48:49 | quantizing | 2 | 108824 | 3 | 14.766 | 7369.9 |
| 350 | 2024-12-24 19:46:13 | quantizing | 1 | 67641 | 1 | 1.953 | 34634.4 |
| 349 | 2024-12-24 19:19:28 | quantizing | 3 | 140603 | 29 | 31.143 | 4514.8 |
| 348 | 2024-12-24 19:19:31 | quantizing | 2 | 108824 | 3 | 14.576 | 7466.0 |
| 347 | 2024-12-24 19:19:22 | quantizing | 1 | 67641 | 1 | 2.376 | 28468.4 |
| 346 | 2024-12-19 04:13:02 | quantizing | 4 | 161450 | 224 | 57.373 | 2814.0 |
| 345 | 2024-12-19 04:09:09 | quantizing | 4 | 161450 | 224 | 62.380 | 2588.2 |
| 344 | 2024-12-19 03:49:28 | quantizing | 4 | 161450 | 224 | 60.066 | 2687.9 |
| 343 | 2024-12-19 03:49:34 | quantizing | 2 | 108824 | 3 | 14.486 | 7512.4 |
| 342 | 2024-12-19 03:47:47 | quantizing | 1 | 67641 | 1 | 5.203 | 13000.4 |
| 341 | 2024-12-16 06:31:27 | quantizing | 3 | 140603 | 29 | 21.080 | 6670.0 |
| 340 | 2024-12-14 23:00:03 | quantizing | 3 | 140603 | 29 | 30.520 | 4606.9 |
| 339 | 2024-12-11 21:17:43 | quantizing | 3 | 140603 | 29 | 38.096 | 3690.8 |
| 338 | 2024-12-11 21:17:45 | quantizing | 2 | 108824 | 3 | 14.703 | 7401.5 |
| 337 | 2024-12-11 21:17:27 | quantizing | 3 | 140603 | 29 | 29.813 | 4716.2 |
| 336 | 2024-12-11 21:14:27 | quantizing | 1 | 67641 | 1 | 3.703 | 18266.5 |
| 335 | 2024-11-21 15:03:10 | quantizing | 2 | 108824 | 3 | 12.233 | 8895.9 |
| 334 | 2024-11-21 15:02:55 | quantizing | 2 | 108824 | 3 | 14.690 | 7408.0 |
| 333 | 2024-11-21 14:58:35 | quantizing | 1 | 67641 | 1 | 1.576 | 42919.4 |
| 332 | 2024-11-20 01:00:27 | quantizing | 2 | 108824 | 3 | 30.720 | 3542.4 |
| 331 | 2024-11-20 00:57:45 | quantizing | 1 | 67641 | 1 | 4.296 | 15745.1 |
| 330 | 2024-11-13 03:18:21 | quantizing | 3 | 140603 | 29 | 32.550 | 4319.6 |
| 329 | 2024-11-12 20:18:37 | quantizing | 2 | 108824 | 3 | 7.580 | 14356.7 |
| 328 | 2024-11-12 20:03:11 | quantizing | 3 | 140603 | 29 | 34.783 | 4042.3 |