History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"loyalties"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 372 | 2025-11-16 06:46:08 | loyalties | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 371 | 2025-10-29 07:12:14 | loyalties | 1 | 81242 | 2 | 1.356 | 59913.0 |
| 370 | 2025-10-17 14:09:32 | loyalties | 4 | 165329 | 457 | 29.486 | 5607.0 |
| 369 | 2025-10-07 01:22:00 | loyalties | 4 | 165329 | 457 | 10.876 | 15201.3 |
| 368 | 2025-10-06 10:58:20 | loyalties | 1 | 81242 | 2 | 2.893 | 28082.3 |
| 367 | 2025-10-06 05:41:03 | loyalties | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 366 | 2025-10-03 04:56:30 | loyalties | 4 | 165329 | 457 | 11.686 | 14147.6 |
| 365 | 2025-09-15 14:25:12 | loyalties | 4 | 165329 | 457 | 11.546 | 14319.2 |
| 364 | 2025-09-12 07:10:28 | loyalties | 4 | 165329 | 457 | 21.656 | 7634.3 |
| 363 | 2025-09-08 23:27:54 | loyalties | 4 | 165329 | 457 | 11.813 | 13995.5 |
| 362 | 2025-09-05 16:20:22 | loyalties | 4 | 165329 | 457 | 11.423 | 14473.3 |
| 361 | 2025-09-02 09:31:24 | loyalties | 4 | 165329 | 457 | 10.780 | 15336.6 |
| 360 | 2025-08-30 01:36:11 | loyalties | 4 | 165329 | 457 | 11.126 | 14859.7 |
| 359 | 2025-08-28 03:36:02 | loyalties | 4 | 165329 | 457 | 11.813 | 13995.5 |
| 358 | 2025-08-27 18:23:25 | loyalties | 4 | 165329 | 457 | 18.203 | 9082.5 |
| 357 | 2025-08-26 18:40:37 | loyalties | 4 | 165329 | 457 | 11.720 | 14106.6 |
| 356 | 2025-08-23 01:12:05 | loyalties | 1 | 81242 | 2 | 9.563 | 8495.5 |
| 355 | 2025-08-21 16:13:37 | loyalties | 1 | 81242 | 2 | 6.903 | 11769.1 |
| 354 | 2025-08-20 07:33:44 | loyalties | 4 | 165329 | 457 | 11.796 | 14015.7 |
| 353 | 2025-08-20 02:07:13 | loyalties | 4 | 165329 | 457 | 13.313 | 12418.6 |
| 352 | 2025-08-19 00:11:22 | loyalties | 2 | 121436 | 5 | 8.546 | 14209.7 |
| 351 | 2025-08-18 15:56:22 | loyalties | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 350 | 2025-08-16 17:23:14 | loyalties | 4 | 165329 | 457 | 17.456 | 9471.2 |
| 349 | 2025-08-13 08:47:29 | loyalties | 4 | 165329 | 457 | 11.360 | 14553.6 |
| 348 | 2025-08-12 00:09:17 | loyalties | 4 | 165329 | 457 | 28.830 | 5734.6 |
| 347 | 2025-08-07 06:36:10 | loyalties | 4 | 165329 | 457 | 69.266 | 2386.9 |
| 346 | 2025-08-07 06:36:07 | loyalties | 4 | 165329 | 457 | 30.313 | 5454.1 |
| 345 | 2025-08-02 18:41:23 | loyalties | 4 | 165329 | 457 | 47.580 | 3474.8 |
| 344 | 2025-08-02 18:40:52 | loyalties | 4 | 165329 | 457 | 49.923 | 3311.7 |
| 343 | 2025-08-01 12:37:33 | loyalties | 4 | 165329 | 457 | 41.800 | 3955.2 |
| 342 | 2025-08-01 05:50:09 | loyalties | 4 | 165329 | 457 | 34.843 | 4745.0 |
| 341 | 2025-07-30 22:34:47 | loyalties | 4 | 165329 | 457 | 65.753 | 2514.4 |
| 340 | 2025-07-27 08:30:36 | loyalties | 1 | 81242 | 2 | 3.453 | 23527.9 |
| 339 | 2025-07-26 23:06:01 | loyalties | 1 | 81242 | 2 | 5.893 | 13786.2 |
| 338 | 2025-07-26 01:33:33 | loyalties | 4 | 165329 | 457 | 13.080 | 12639.8 |
| 337 | 2025-07-23 11:24:58 | loyalties | 4 | 165329 | 457 | 31.096 | 5316.7 |
| 336 | 2025-07-21 15:18:31 | loyalties | 4 | 165329 | 457 | 11.313 | 14614.1 |
| 335 | 2025-07-20 21:53:08 | loyalties | 4 | 165329 | 457 | 11.970 | 13811.9 |
| 334 | 2025-07-13 16:15:08 | loyalties | 4 | 165329 | 457 | 11.050 | 14961.9 |
| 333 | 2025-07-11 22:25:47 | loyalties | 2 | 121436 | 5 | 3.156 | 38477.8 |
| 332 | 2025-07-11 21:44:13 | loyalties | 3 | 148641 | 50 | 8.500 | 17487.2 |
| 331 | 2025-07-09 20:07:12 | loyalties | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 330 | 2025-07-01 04:09:16 | loyalties | 2 | 121436 | 5 | 10.000 | 12143.6 |
| 329 | 2025-06-30 23:28:32 | loyalties | 1 | 81242 | 2 | 3.000 | 27080.7 |
| 328 | 2025-06-30 21:29:23 | loyalties | 4 | 165329 | 457 | 19.533 | 8464.1 |
| 327 | 2025-06-29 23:31:35 | loyalties | 4 | 165329 | 457 | 51.770 | 3193.5 |
| 326 | 2025-06-29 17:01:25 | loyalties | 3 | 148641 | 50 | 7.580 | 19609.6 |
| 325 | 2025-06-29 12:04:28 | loyalties | 3 | 148641 | 50 | 30.173 | 4926.3 |
| 324 | 2025-06-29 00:05:35 | loyalties | 2 | 121436 | 5 | 14.750 | 8232.9 |
| 323 | 2025-06-28 22:26:18 | loyalties | 4 | 165329 | 457 | 13.236 | 12490.9 |
| 322 | 2025-06-28 11:50:59 | loyalties | 4 | 165329 | 457 | 55.470 | 2980.5 |
| 321 | 2025-06-27 20:52:24 | loyalties | 4 | 165329 | 457 | 80.503 | 2053.7 |
| 320 | 2025-06-27 17:36:01 | loyalties | 1 | 81242 | 2 | 1.300 | 62493.8 |
| 319 | 2025-06-27 03:12:06 | loyalties | 2 | 121436 | 5 | 6.466 | 18780.7 |
| 318 | 2025-06-27 02:50:53 | loyalties | 3 | 148641 | 50 | 21.643 | 6867.9 |
| 317 | 2025-06-25 07:54:38 | loyalties | 1 | 81242 | 2 | 4.563 | 17804.5 |
| 316 | 2025-06-17 15:26:53 | loyalties | 3 | 148641 | 50 | 7.030 | 21143.8 |
| 315 | 2025-06-16 15:09:18 | loyalties | 1 | 81242 | 2 | 11.436 | 7104.1 |
| 314 | 2025-06-16 14:56:39 | loyalties | 1 | 81242 | 2 | 6.360 | 12773.9 |
| 313 | 2025-06-07 20:31:39 | loyalties | 1 | 81242 | 2 | 5.233 | 15524.9 |
| 312 | 2025-05-24 14:02:38 | loyalties | 1 | 81242 | 2 | 6.373 | 12747.8 |
| 311 | 2025-05-23 07:41:06 | loyalties | 1 | 81242 | 2 | 5.653 | 14371.5 |
| 310 | 2025-05-12 17:19:02 | loyalties | 3 | 148641 | 50 | 34.220 | 4343.7 |
| 309 | 2025-05-06 16:37:36 | loyalties | 1 | 81242 | 2 | 6.406 | 12682.2 |
| 308 | 2025-04-20 15:46:36 | loyalties | 1 | 81242 | 2 | 1.216 | 66810.9 |
| 307 | 2025-04-17 23:00:12 | loyalties | 1 | 81242 | 2 | 6.516 | 12468.1 |
| 306 | 2025-04-16 17:52:00 | loyalties | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 305 | 2025-04-11 21:18:57 | loyalties | 1 | 81242 | 2 | 5.500 | 14771.3 |
| 304 | 2025-04-10 20:26:00 | loyalties | 1 | 81242 | 2 | 6.283 | 12930.4 |
| 303 | 2025-04-08 01:05:19 | loyalties | 3 | 148641 | 50 | 28.533 | 5209.4 |
| 302 | 2025-04-02 02:22:04 | loyalties | 3 | 148641 | 50 | 49.230 | 3019.3 |
| 301 | 2025-03-31 19:53:07 | loyalties | 3 | 148641 | 50 | 36.363 | 4087.7 |
| 300 | 2025-03-28 13:48:51 | loyalties | 3 | 148641 | 50 | 28.050 | 5299.1 |
| 299 | 2025-03-23 15:50:36 | loyalties | 3 | 148641 | 50 | 39.673 | 3746.7 |
| 298 | 2025-03-23 08:50:34 | loyalties | 1 | 81242 | 2 | 4.923 | 16502.5 |
| 297 | 2025-03-23 04:02:13 | loyalties | 2 | 121436 | 5 | 22.863 | 5311.5 |
| 296 | 2025-03-22 16:38:58 | loyalties | 1 | 81242 | 2 | 5.640 | 14404.6 |
| 295 | 2025-03-17 19:18:15 | loyalties | 3 | 148641 | 50 | 35.956 | 4134.0 |
| 294 | 2025-03-17 19:18:13 | loyalties | 3 | 148641 | 50 | 33.406 | 4449.5 |
| 293 | 2025-03-17 19:18:07 | loyalties | 2 | 121436 | 5 | 9.796 | 12396.5 |
| 292 | 2025-03-08 22:55:23 | loyalties | 1 | 81242 | 2 | 6.046 | 13437.3 |
| 291 | 2025-02-25 10:56:04 | loyalties | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 290 | 2025-02-12 17:11:30 | loyalties | 1 | 81242 | 2 | 3.326 | 24426.3 |
| 289 | 2025-02-08 14:54:59 | loyalties | 3 | 148641 | 50 | 37.970 | 3914.7 |
| 288 | 2025-01-27 22:42:06 | loyalties | 1 | 81242 | 2 | 4.266 | 19044.1 |
| 287 | 2025-01-26 16:59:26 | loyalties | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 286 | 2025-01-20 08:02:32 | loyalties | 1 | 81242 | 2 | 8.643 | 9399.7 |
| 285 | 2024-12-27 01:43:19 | loyalties | 1 | 81242 | 2 | 1.563 | 51978.2 |
| 284 | 2024-12-20 04:53:42 | loyalties | 1 | 81242 | 2 | 4.186 | 19408.0 |
| 283 | 2024-12-09 17:23:38 | loyalties | 1 | 81242 | 2 | 3.780 | 21492.6 |
| 282 | 2024-12-05 10:39:45 | loyalties | 3 | 148641 | 50 | 31.800 | 4674.2 |
| 281 | 2024-12-04 03:27:28 | loyalties | 3 | 148641 | 50 | 48.096 | 3090.5 |
| 280 | 2024-11-28 13:43:06 | loyalties | 3 | 148641 | 50 | 48.550 | 3061.6 |
| 279 | 2024-11-26 11:20:43 | loyalties | 1 | 81242 | 2 | 4.830 | 16820.3 |
| 278 | 2024-11-18 16:05:05 | loyalties | 2 | 121436 | 5 | 17.690 | 6864.7 |
| 277 | 2024-11-10 01:56:00 | loyalties | 2 | 121436 | 5 | 19.393 | 6261.8 |
| 276 | 2024-11-09 21:10:33 | loyalties | 1 | 81242 | 2 | 2.170 | 37438.7 |
| 275 | 2024-11-05 06:23:34 | loyalties | 1 | 81242 | 2 | 5.030 | 16151.5 |
| 274 | 2024-11-04 05:42:01 | loyalties | 3 | 148641 | 50 | 43.316 | 3431.5 |
| 273 | 2024-11-04 05:41:33 | loyalties | 2 | 121436 | 5 | 18.720 | 6487.0 |