History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"dynameter"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 410 | 2025-10-30 11:03:48 | dynameter | 2 | 121436 | 12 | 3.343 | 36325.5 |
| 409 | 2025-10-24 01:16:28 | dynameter | 1 | 81242 | 3 | 1.216 | 66810.9 |
| 408 | 2025-10-12 09:31:34 | dynameter | 4 | 165329 | 206 | 10.470 | 15790.7 |
| 407 | 2025-10-11 23:43:36 | dynameter | 2 | 121436 | 12 | 3.420 | 35507.6 |
| 406 | 2025-10-07 09:55:55 | dynameter | 2 | 121436 | 12 | 3.376 | 35970.4 |
| 405 | 2025-10-07 07:24:54 | dynameter | 3 | 148641 | 39 | 10.080 | 14746.1 |
| 404 | 2025-10-06 01:20:03 | dynameter | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 403 | 2025-10-04 15:26:59 | dynameter | 4 | 165329 | 206 | 11.360 | 14553.6 |
| 402 | 2025-10-03 14:17:24 | dynameter | 3 | 148641 | 39 | 6.936 | 21430.4 |
| 401 | 2025-09-11 08:01:41 | dynameter | 4 | 165329 | 206 | 13.673 | 12091.6 |
| 400 | 2025-09-10 00:43:13 | dynameter | 3 | 148641 | 39 | 6.766 | 21968.8 |
| 399 | 2025-09-07 00:41:34 | dynameter | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 398 | 2025-09-06 14:02:37 | dynameter | 1 | 81242 | 3 | 1.236 | 65729.8 |
| 397 | 2025-09-04 04:09:58 | dynameter | 2 | 121436 | 12 | 2.983 | 40709.4 |
| 396 | 2025-09-04 02:17:19 | dynameter | 4 | 165329 | 206 | 11.686 | 14147.6 |
| 395 | 2025-09-02 11:19:10 | dynameter | 4 | 165329 | 206 | 13.110 | 12610.9 |
| 394 | 2025-09-01 05:54:54 | dynameter | 1 | 81242 | 3 | 1.216 | 66810.9 |
| 393 | 2025-08-31 14:41:49 | dynameter | 1 | 81242 | 3 | 1.576 | 51549.5 |
| 392 | 2025-08-27 09:50:08 | dynameter | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 391 | 2025-08-18 10:49:32 | dynameter | 2 | 121436 | 12 | 3.233 | 37561.4 |
| 390 | 2025-08-09 01:49:50 | dynameter | 1 | 81242 | 3 | 5.656 | 14363.9 |
| 389 | 2025-07-30 07:29:47 | dynameter | 3 | 148641 | 39 | 28.266 | 5258.6 |
| 388 | 2025-07-27 19:05:00 | dynameter | 3 | 148641 | 39 | 38.206 | 3890.5 |
| 387 | 2025-07-25 05:22:27 | dynameter | 1 | 81242 | 3 | 7.356 | 11044.3 |
| 386 | 2025-07-25 00:53:11 | dynameter | 3 | 148641 | 39 | 30.066 | 4943.8 |
| 385 | 2025-07-24 06:48:17 | dynameter | 1 | 81242 | 3 | 6.703 | 12120.2 |
| 384 | 2025-07-23 09:17:05 | dynameter | 1 | 81242 | 3 | 6.486 | 12525.7 |
| 383 | 2025-07-23 02:49:17 | dynameter | 1 | 81242 | 3 | 3.813 | 21306.6 |
| 382 | 2025-07-21 02:07:40 | dynameter | 3 | 148641 | 39 | 7.470 | 19898.4 |
| 381 | 2025-07-19 08:51:54 | dynameter | 1 | 81242 | 3 | 1.376 | 59042.2 |
| 380 | 2025-07-10 14:16:40 | dynameter | 1 | 81242 | 3 | 6.393 | 12708.0 |
| 379 | 2025-07-06 22:41:17 | dynameter | 1 | 81242 | 3 | 3.856 | 21069.0 |
| 378 | 2025-07-04 12:44:43 | dynameter | 1 | 81242 | 3 | 5.843 | 13904.2 |
| 377 | 2025-06-18 05:57:44 | dynameter | 1 | 81242 | 3 | 6.826 | 11901.8 |
| 376 | 2025-06-15 16:11:31 | dynameter | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 375 | 2025-05-26 21:14:28 | dynameter | 3 | 148641 | 39 | 40.020 | 3714.2 |
| 374 | 2025-05-26 18:30:46 | dynameter | 3 | 148641 | 39 | 30.156 | 4929.1 |
| 373 | 2025-05-22 15:23:55 | dynameter | 3 | 148641 | 39 | 26.313 | 5649.0 |
| 372 | 2025-05-20 02:55:06 | dynameter | 3 | 148641 | 39 | 47.820 | 3108.3 |
| 371 | 2025-05-19 23:33:42 | dynameter | 4 | 165329 | 206 | 47.840 | 3455.9 |
| 370 | 2025-05-19 12:45:32 | dynameter | 1 | 81242 | 3 | 1.580 | 51419.0 |
| 369 | 2025-05-18 23:37:31 | dynameter | 3 | 148641 | 39 | 6.703 | 22175.3 |
| 368 | 2025-05-12 12:15:26 | dynameter | 1 | 81242 | 3 | 4.766 | 17046.2 |
| 367 | 2025-05-10 23:28:21 | dynameter | 3 | 148641 | 39 | 33.220 | 4474.4 |
| 366 | 2025-05-09 22:48:14 | dynameter | 2 | 121436 | 12 | 17.173 | 7071.3 |
| 365 | 2025-05-09 16:14:03 | dynameter | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 364 | 2025-05-07 05:01:29 | dynameter | 1 | 81242 | 3 | 6.016 | 13504.3 |
| 363 | 2025-04-25 19:03:35 | dynameter | 3 | 148641 | 39 | 34.643 | 4290.7 |
| 362 | 2025-04-25 01:35:17 | dynameter | 1 | 81242 | 3 | 6.326 | 12842.6 |
| 361 | 2025-04-18 06:13:21 | dynameter | 1 | 81242 | 3 | 2.953 | 27511.7 |
| 360 | 2025-04-02 21:07:47 | dynameter | 1 | 81242 | 3 | 6.470 | 12556.7 |
| 359 | 2025-04-02 21:04:01 | dynameter | 1 | 81242 | 3 | 6.080 | 13362.2 |
| 358 | 2025-04-02 02:09:28 | dynameter | 3 | 148641 | 39 | 29.360 | 5062.7 |
| 357 | 2025-04-02 00:53:01 | dynameter | 1 | 81242 | 3 | 6.720 | 12089.6 |
| 356 | 2025-03-29 17:49:18 | dynameter | 1 | 81242 | 3 | 3.110 | 26122.8 |
| 355 | 2025-03-29 01:28:50 | dynameter | 3 | 148641 | 39 | 33.113 | 4488.9 |
| 354 | 2025-03-24 07:13:33 | dynameter | 2 | 121436 | 12 | 9.966 | 12185.0 |
| 353 | 2025-03-24 05:26:38 | dynameter | 3 | 148641 | 39 | 25.703 | 5783.0 |
| 352 | 2025-03-22 21:17:10 | dynameter | 3 | 148641 | 39 | 40.456 | 3674.1 |
| 351 | 2025-03-22 03:12:12 | dynameter | 1 | 81242 | 3 | 1.173 | 69260.0 |
| 350 | 2025-03-20 07:37:50 | dynameter | 1 | 81242 | 3 | 6.783 | 11977.3 |
| 349 | 2025-03-14 04:22:16 | dynameter | 3 | 148641 | 39 | 50.923 | 2918.9 |
| 348 | 2025-03-14 04:22:14 | dynameter | 3 | 148641 | 39 | 51.586 | 2881.4 |
| 347 | 2025-03-14 04:22:13 | dynameter | 2 | 121436 | 12 | 23.783 | 5106.0 |
| 346 | 2025-03-13 14:17:19 | dynameter | 3 | 148641 | 39 | 41.016 | 3624.0 |
| 345 | 2025-03-13 14:17:15 | dynameter | 2 | 121436 | 12 | 24.670 | 4922.4 |
| 344 | 2025-03-13 04:32:13 | dynameter | 3 | 148641 | 39 | 34.566 | 4300.2 |
| 343 | 2025-03-12 21:47:28 | dynameter | 3 | 148641 | 39 | 39.580 | 3755.5 |
| 342 | 2025-03-12 21:47:27 | dynameter | 2 | 121436 | 12 | 17.206 | 7057.8 |
| 341 | 2025-03-12 21:45:39 | dynameter | 1 | 81242 | 3 | 6.593 | 12322.5 |
| 340 | 2025-03-09 01:42:13 | dynameter | 1 | 81242 | 3 | 5.766 | 14089.8 |
| 339 | 2025-03-06 18:08:56 | dynameter | 1 | 81242 | 3 | 7.736 | 10501.8 |
| 338 | 2025-02-26 13:16:44 | dynameter | 3 | 148641 | 39 | 33.016 | 4502.1 |
| 337 | 2025-02-24 15:30:34 | dynameter | 3 | 148641 | 39 | 20.063 | 7408.7 |
| 336 | 2025-02-24 12:03:16 | dynameter | 3 | 148641 | 39 | 37.266 | 3988.6 |
| 335 | 2025-02-18 06:33:19 | dynameter | 1 | 81242 | 3 | 3.280 | 24768.9 |
| 334 | 2025-02-16 13:09:43 | dynameter | 1 | 81242 | 3 | 3.423 | 23734.2 |
| 333 | 2025-02-14 11:48:56 | dynameter | 1 | 81242 | 3 | 6.436 | 12623.1 |
| 332 | 2025-02-13 19:37:04 | dynameter | 2 | 121436 | 12 | 17.406 | 6976.7 |
| 331 | 2025-02-13 10:18:17 | dynameter | 3 | 148641 | 39 | 50.983 | 2915.5 |
| 330 | 2025-02-09 05:21:54 | dynameter | 1 | 81242 | 3 | 1.220 | 66591.8 |
| 329 | 2025-02-07 15:32:47 | dynameter | 3 | 148641 | 39 | 38.283 | 3882.7 |
| 328 | 2025-02-07 15:32:45 | dynameter | 2 | 121436 | 12 | 19.270 | 6301.8 |
| 327 | 2025-02-07 14:48:59 | dynameter | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 326 | 2025-02-05 20:33:49 | dynameter | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 325 | 2025-01-15 13:44:53 | dynameter | 3 | 148641 | 39 | 35.110 | 4233.6 |
| 324 | 2025-01-15 13:44:43 | dynameter | 3 | 148641 | 39 | 35.923 | 4137.8 |
| 323 | 2025-01-15 13:44:55 | dynameter | 2 | 121436 | 12 | 17.330 | 7007.3 |
| 322 | 2025-01-10 10:50:16 | dynameter | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 321 | 2025-01-03 22:33:16 | dynameter | 1 | 81242 | 3 | 2.783 | 29192.2 |
| 320 | 2024-12-30 11:36:52 | dynameter | 1 | 81242 | 3 | 8.936 | 9091.5 |
| 319 | 2024-12-26 16:32:59 | dynameter | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 318 | 2024-12-08 21:11:48 | dynameter | 1 | 81242 | 3 | 3.250 | 24997.5 |
| 317 | 2024-11-14 04:24:57 | dynameter | 2 | 121436 | 12 | 16.610 | 7311.0 |
| 316 | 2024-11-14 04:24:29 | dynameter | 1 | 81242 | 3 | 2.403 | 33808.6 |
| 315 | 2024-11-07 23:46:29 | dynameter | 3 | 148641 | 39 | 38.813 | 3829.7 |
| 314 | 2024-11-05 06:00:53 | dynameter | 1 | 81242 | 3 | 2.876 | 28248.3 |
| 313 | 2024-11-04 11:43:25 | dynameter | 3 | 148641 | 39 | 46.626 | 3187.9 |
| 312 | 2024-10-29 11:24:07 | dynameter | 3 | 148641 | 39 | 36.020 | 4126.6 |
| 311 | 2024-10-29 11:23:41 | dynameter | 3 | 148641 | 39 | 34.766 | 4275.5 |