History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precisest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 390 | 2025-10-28 07:26:30 | precisest | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 389 | 2025-10-22 17:41:45 | precisest | 1 | 81242 | 2 | 9.533 | 8522.2 |
| 388 | 2025-10-22 17:41:09 | precisest | 1 | 81242 | 2 | 6.860 | 11842.9 |
| 387 | 2025-10-22 17:40:38 | precisest | 1 | 81242 | 2 | 7.046 | 11530.2 |
| 386 | 2025-10-22 17:40:06 | precisest | 1 | 81242 | 2 | 3.343 | 24302.1 |
| 385 | 2025-10-18 22:42:00 | precisest | 2 | 121436 | 11 | 7.093 | 17120.5 |
| 384 | 2025-10-18 03:18:39 | precisest | 2 | 121436 | 11 | 10.610 | 11445.4 |
| 383 | 2025-10-17 17:23:21 | precisest | 3 | 148641 | 103 | 10.253 | 14497.3 |
| 382 | 2025-10-16 10:28:08 | precisest | 2 | 121436 | 11 | 4.250 | 28573.2 |
| 381 | 2025-10-12 12:34:59 | precisest | 3 | 148641 | 103 | 7.313 | 20325.6 |
| 380 | 2025-10-03 20:01:54 | precisest | 3 | 148641 | 103 | 9.550 | 15564.5 |
| 379 | 2025-09-24 13:06:01 | precisest | 1 | 81242 | 2 | 1.530 | 53099.3 |
| 378 | 2025-09-22 05:43:18 | precisest | 3 | 148641 | 103 | 7.046 | 21095.8 |
| 377 | 2025-09-17 03:27:31 | precisest | 3 | 148641 | 103 | 7.326 | 20289.5 |
| 376 | 2025-09-11 11:48:30 | precisest | 3 | 148641 | 103 | 7.720 | 19254.0 |
| 375 | 2025-09-08 15:34:42 | precisest | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 374 | 2025-09-01 20:32:53 | precisest | 2 | 121436 | 11 | 3.686 | 32945.2 |
| 373 | 2025-09-01 16:43:40 | precisest | 3 | 148641 | 103 | 7.300 | 20361.8 |
| 372 | 2025-09-01 11:03:25 | precisest | 1 | 81242 | 2 | 1.310 | 62016.8 |
| 371 | 2025-09-01 00:36:47 | precisest | 2 | 121436 | 11 | 3.296 | 36843.4 |
| 370 | 2025-08-30 20:32:58 | precisest | 3 | 148641 | 103 | 7.486 | 19855.9 |
| 369 | 2025-08-28 16:58:28 | precisest | 1 | 81242 | 2 | 1.340 | 60628.4 |
| 368 | 2025-08-28 07:24:15 | precisest | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 367 | 2025-08-27 01:27:44 | precisest | 1 | 81242 | 2 | 2.983 | 27235.0 |
| 366 | 2025-08-26 20:42:39 | precisest | 3 | 148641 | 103 | 35.170 | 4226.4 |
| 365 | 2025-08-24 13:19:33 | precisest | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 364 | 2025-08-19 07:27:06 | precisest | 1 | 81242 | 2 | 3.283 | 24746.3 |
| 363 | 2025-08-06 13:03:36 | precisest | 2 | 121436 | 11 | 19.470 | 6237.1 |
| 362 | 2025-08-06 11:29:23 | precisest | 3 | 148641 | 103 | 22.733 | 6538.6 |
| 361 | 2025-08-06 03:12:48 | precisest | 1 | 81242 | 2 | 3.093 | 26266.4 |
| 360 | 2025-08-04 09:03:46 | precisest | 1 | 81242 | 2 | 1.513 | 53696.0 |
| 359 | 2025-07-28 09:13:34 | precisest | 1 | 81242 | 2 | 2.763 | 29403.5 |
| 358 | 2025-07-27 01:41:33 | precisest | 1 | 81242 | 2 | 5.876 | 13826.1 |
| 357 | 2025-07-25 23:10:14 | precisest | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 356 | 2025-07-23 23:49:21 | precisest | 1 | 81242 | 2 | 6.860 | 11842.9 |
| 355 | 2025-07-15 01:10:41 | precisest | 3 | 148641 | 103 | 40.723 | 3650.1 |
| 354 | 2025-07-15 01:10:54 | precisest | 2 | 121436 | 11 | 22.940 | 5293.6 |
| 353 | 2025-07-13 07:07:04 | precisest | 1 | 81242 | 2 | 2.300 | 35322.6 |
| 352 | 2025-07-07 14:00:56 | precisest | 1 | 81242 | 2 | 7.233 | 11232.1 |
| 351 | 2025-07-06 21:15:55 | precisest | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 350 | 2025-06-24 07:05:46 | precisest | 1 | 81242 | 2 | 3.326 | 24426.3 |
| 349 | 2025-06-20 09:05:03 | precisest | 1 | 81242 | 2 | 7.513 | 10813.5 |
| 348 | 2025-06-13 00:58:53 | precisest | 1 | 81242 | 2 | 6.500 | 12498.8 |
| 347 | 2025-06-12 08:05:10 | precisest | 1 | 81242 | 2 | 4.813 | 16879.7 |
| 346 | 2025-06-12 07:22:40 | precisest | 1 | 81242 | 2 | 4.810 | 16890.2 |
| 345 | 2025-06-11 06:44:57 | precisest | 2 | 121436 | 11 | 18.670 | 6504.3 |
| 344 | 2025-06-08 14:59:50 | precisest | 2 | 121436 | 11 | 10.126 | 11992.5 |
| 343 | 2025-06-07 13:19:52 | precisest | 1 | 81242 | 2 | 3.456 | 23507.5 |
| 342 | 2025-05-30 19:04:58 | precisest | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 341 | 2025-05-28 03:30:27 | precisest | 2 | 121436 | 11 | 4.000 | 30359.0 |
| 340 | 2025-05-24 07:22:02 | precisest | 1 | 81242 | 2 | 9.750 | 8332.5 |
| 339 | 2025-05-23 19:12:20 | precisest | 3 | 148641 | 103 | 21.346 | 6963.4 |
| 338 | 2025-05-22 14:10:47 | precisest | 3 | 148641 | 103 | 33.940 | 4379.5 |
| 337 | 2025-05-22 06:49:41 | precisest | 3 | 148641 | 103 | 32.360 | 4593.4 |
| 336 | 2025-05-20 18:15:25 | precisest | 3 | 148641 | 103 | 46.203 | 3217.1 |
| 335 | 2025-05-19 20:45:45 | precisest | 2 | 121436 | 11 | 22.750 | 5337.8 |
| 334 | 2025-05-19 17:13:41 | precisest | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 333 | 2025-05-10 01:49:04 | precisest | 1 | 81242 | 2 | 5.783 | 14048.4 |
| 332 | 2025-05-08 07:17:26 | precisest | 1 | 81242 | 2 | 3.533 | 22995.2 |
| 331 | 2025-05-06 18:11:25 | precisest | 1 | 81242 | 2 | 9.156 | 8873.1 |
| 330 | 2025-05-03 18:48:50 | precisest | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 329 | 2025-04-23 05:39:05 | precisest | 1 | 81242 | 2 | 6.923 | 11735.1 |
| 328 | 2025-04-16 16:39:56 | precisest | 1 | 81242 | 2 | 4.050 | 20059.8 |
| 327 | 2025-04-16 15:25:28 | precisest | 1 | 81242 | 2 | 3.233 | 25129.0 |
| 326 | 2025-04-13 00:34:59 | precisest | 1 | 81242 | 2 | 4.140 | 19623.7 |
| 325 | 2025-04-09 01:29:31 | precisest | 1 | 81242 | 2 | 10.390 | 7819.2 |
| 324 | 2025-04-02 06:56:44 | precisest | 1 | 81242 | 2 | 8.106 | 10022.5 |
| 323 | 2025-03-13 20:20:22 | precisest | 1 | 81242 | 2 | 7.190 | 11299.3 |
| 322 | 2025-03-13 13:02:41 | precisest | 1 | 81242 | 2 | 7.063 | 11502.5 |
| 321 | 2025-03-03 12:13:24 | precisest | 2 | 121436 | 11 | 22.156 | 5481.0 |
| 320 | 2025-03-03 11:48:28 | precisest | 1 | 81242 | 2 | 3.250 | 24997.5 |
| 319 | 2025-03-02 03:12:44 | precisest | 3 | 148641 | 103 | 30.610 | 4856.0 |
| 318 | 2025-03-01 15:00:22 | precisest | 3 | 148641 | 103 | 39.563 | 3757.1 |
| 317 | 2025-03-01 15:00:16 | precisest | 2 | 121436 | 11 | 9.423 | 12887.2 |
| 316 | 2025-03-01 14:59:02 | precisest | 1 | 81242 | 2 | 4.033 | 20144.3 |
| 315 | 2025-02-28 07:51:01 | precisest | 1 | 81242 | 2 | 6.796 | 11954.4 |
| 314 | 2025-02-27 14:24:05 | precisest | 1 | 81242 | 2 | 3.406 | 23852.6 |
| 313 | 2025-02-09 05:04:11 | precisest | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 312 | 2025-02-04 20:12:05 | precisest | 1 | 81242 | 2 | 6.453 | 12589.8 |
| 311 | 2025-02-01 03:34:15 | precisest | 3 | 148641 | 103 | 36.893 | 4029.0 |
| 310 | 2025-01-31 19:56:32 | precisest | 2 | 121436 | 11 | 16.186 | 7502.5 |
| 309 | 2025-01-31 19:56:18 | precisest | 1 | 81242 | 2 | 6.890 | 11791.3 |
| 308 | 2025-01-28 15:39:26 | precisest | 3 | 148641 | 103 | 45.190 | 3289.2 |
| 307 | 2025-01-28 15:16:43 | precisest | 3 | 148641 | 103 | 36.080 | 4119.8 |
| 306 | 2025-01-27 19:26:53 | precisest | 1 | 81242 | 2 | 9.233 | 8799.1 |
| 305 | 2024-12-30 18:23:39 | precisest | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 304 | 2024-12-30 07:00:12 | precisest | 1 | 81242 | 2 | 3.593 | 22611.2 |
| 303 | 2024-12-26 01:13:54 | precisest | 3 | 148641 | 103 | 36.640 | 4056.8 |
| 302 | 2024-12-25 23:53:19 | precisest | 3 | 148641 | 103 | 23.863 | 6228.9 |
| 301 | 2024-12-25 23:51:53 | precisest | 1 | 81242 | 2 | 8.296 | 9792.9 |
| 300 | 2024-12-25 14:28:55 | precisest | 2 | 121436 | 11 | 18.860 | 6438.8 |
| 299 | 2024-12-23 04:37:47 | precisest | 3 | 148641 | 103 | 35.220 | 4220.4 |
| 298 | 2024-12-22 09:58:42 | precisest | 3 | 148641 | 103 | 19.123 | 7772.9 |
| 297 | 2024-12-21 15:36:00 | precisest | 1 | 81242 | 2 | 5.766 | 14089.8 |
| 296 | 2024-12-11 02:12:56 | precisest | 2 | 121436 | 11 | 16.500 | 7359.8 |
| 295 | 2024-11-30 10:24:23 | precisest | 2 | 121436 | 11 | 16.673 | 7283.4 |
| 294 | 2024-11-30 10:03:01 | precisest | 1 | 81242 | 2 | 3.610 | 22504.7 |
| 293 | 2024-11-30 06:40:40 | precisest | 2 | 121436 | 11 | 9.596 | 12654.9 |
| 292 | 2024-11-29 12:05:14 | precisest | 2 | 121436 | 11 | 18.266 | 6648.2 |
| 291 | 2024-11-29 11:31:55 | precisest | 1 | 81242 | 2 | 4.203 | 19329.5 |