History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"multinomial"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 380 | 2025-10-29 23:46:26 | multinomial | 4 | 148819 | 24 | 9.330 | 15950.6 |
| 379 | 2025-10-29 07:26:29 | multinomial | 4 | 148819 | 24 | 11.953 | 12450.3 |
| 378 | 2025-10-29 05:14:24 | multinomial | 1 | 49908 | 2 | 0.763 | 65410.2 |
| 377 | 2025-10-26 14:02:48 | multinomial | 1 | 49908 | 2 | 1.283 | 38899.5 |
| 376 | 2025-09-18 06:34:49 | multinomial | 4 | 148819 | 24 | 8.453 | 17605.5 |
| 375 | 2025-09-15 20:06:46 | multinomial | 1 | 49908 | 2 | 0.830 | 60130.1 |
| 374 | 2025-09-15 09:56:55 | multinomial | 1 | 49908 | 2 | 1.110 | 44962.2 |
| 373 | 2025-09-11 11:08:14 | multinomial | 3 | 121633 | 8 | 5.110 | 23802.9 |
| 372 | 2025-09-02 05:51:06 | multinomial | 2 | 86808 | 2 | 2.060 | 42139.8 |
| 371 | 2025-09-02 01:32:25 | multinomial | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 370 | 2025-08-31 08:01:19 | multinomial | 3 | 121633 | 8 | 4.923 | 24707.1 |
| 369 | 2025-08-31 02:02:20 | multinomial | 1 | 49908 | 2 | 0.766 | 65154.0 |
| 368 | 2025-07-26 20:56:15 | multinomial | 1 | 49908 | 2 | 2.156 | 23148.4 |
| 367 | 2025-07-25 21:36:35 | multinomial | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 366 | 2025-07-24 21:52:06 | multinomial | 1 | 49908 | 2 | 4.123 | 12104.8 |
| 365 | 2025-07-24 20:51:12 | multinomial | 1 | 49908 | 2 | 2.326 | 21456.6 |
| 364 | 2025-07-20 17:45:31 | multinomial | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 363 | 2025-07-15 21:27:23 | multinomial | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 362 | 2025-07-15 15:51:40 | multinomial | 1 | 49908 | 2 | 2.813 | 17741.9 |
| 361 | 2025-07-15 15:42:17 | multinomial | 1 | 49908 | 2 | 2.516 | 19836.2 |
| 360 | 2025-07-14 14:48:53 | multinomial | 2 | 86808 | 2 | 17.263 | 5028.6 |
| 359 | 2025-07-12 20:33:52 | multinomial | 1 | 49908 | 2 | 0.890 | 56076.4 |
| 358 | 2025-06-10 15:07:41 | multinomial | 1 | 49908 | 2 | 3.593 | 13890.3 |
| 357 | 2025-06-09 17:10:13 | multinomial | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 356 | 2025-05-31 00:01:13 | multinomial | 1 | 49908 | 2 | 4.470 | 11165.1 |
| 355 | 2025-05-28 22:21:31 | multinomial | 1 | 49908 | 2 | 2.093 | 23845.2 |
| 354 | 2025-05-02 15:02:58 | multinomial | 1 | 49908 | 2 | 1.966 | 25385.6 |
| 353 | 2025-04-28 04:17:27 | multinomial | 4 | 148819 | 24 | 51.643 | 2881.7 |
| 352 | 2025-04-26 14:06:23 | multinomial | 2 | 86808 | 2 | 10.453 | 8304.6 |
| 351 | 2025-04-26 02:34:59 | multinomial | 4 | 148819 | 24 | 51.003 | 2917.8 |
| 350 | 2025-04-26 01:08:19 | multinomial | 4 | 148819 | 24 | 53.360 | 2789.0 |
| 349 | 2025-04-26 00:31:58 | multinomial | 3 | 121633 | 8 | 25.910 | 4694.4 |
| 348 | 2025-04-24 20:14:31 | multinomial | 1 | 49908 | 2 | 0.750 | 66544.0 |
| 347 | 2025-03-20 16:34:32 | multinomial | 1 | 49908 | 2 | 5.640 | 8848.9 |
| 346 | 2025-03-07 10:49:39 | multinomial | 3 | 121633 | 8 | 25.533 | 4763.8 |
| 345 | 2025-03-07 10:49:34 | multinomial | 3 | 121633 | 8 | 26.423 | 4603.3 |
| 344 | 2025-03-07 10:49:30 | multinomial | 2 | 86808 | 2 | 9.750 | 8903.4 |
| 343 | 2025-03-07 10:47:54 | multinomial | 1 | 49908 | 2 | 4.063 | 12283.5 |
| 342 | 2025-02-24 06:21:55 | multinomial | 4 | 148819 | 24 | 46.716 | 3185.6 |
| 341 | 2025-02-24 06:21:55 | multinomial | 3 | 121633 | 8 | 35.670 | 3410.0 |
| 340 | 2025-02-22 04:28:02 | multinomial | 4 | 148819 | 24 | 48.800 | 3049.6 |
| 339 | 2025-02-22 04:28:01 | multinomial | 2 | 86808 | 2 | 11.983 | 7244.3 |
| 338 | 2025-02-22 04:24:24 | multinomial | 1 | 49908 | 2 | 4.126 | 12096.0 |
| 337 | 2025-02-20 23:22:36 | multinomial | 1 | 49908 | 2 | 5.013 | 9955.7 |
| 336 | 2025-02-14 14:39:30 | multinomial | 4 | 148819 | 24 | 46.343 | 3211.3 |
| 335 | 2025-02-14 14:39:24 | multinomial | 3 | 121633 | 8 | 24.906 | 4883.7 |
| 334 | 2025-02-14 01:33:56 | multinomial | 4 | 148819 | 24 | 38.953 | 3820.5 |
| 333 | 2025-02-13 07:35:15 | multinomial | 4 | 148819 | 24 | 48.846 | 3046.7 |
| 332 | 2025-02-13 07:35:03 | multinomial | 4 | 148819 | 24 | 45.940 | 3239.4 |
| 331 | 2025-02-11 17:35:22 | multinomial | 3 | 121633 | 8 | 28.990 | 4195.7 |
| 330 | 2025-02-11 17:35:21 | multinomial | 2 | 86808 | 2 | 9.923 | 8748.2 |
| 329 | 2025-02-11 17:30:00 | multinomial | 1 | 49908 | 2 | 2.063 | 24192.0 |
| 328 | 2025-01-18 10:38:26 | multinomial | 4 | 148819 | 24 | 44.973 | 3309.1 |
| 327 | 2025-01-18 10:38:22 | multinomial | 3 | 121633 | 8 | 34.126 | 3564.2 |
| 326 | 2025-01-18 10:38:27 | multinomial | 4 | 148819 | 24 | 24.813 | 5997.6 |
| 325 | 2025-01-18 10:38:21 | multinomial | 2 | 86808 | 2 | 7.953 | 10915.1 |
| 324 | 2025-01-17 11:02:28 | multinomial | 4 | 148819 | 24 | 47.300 | 3146.3 |
| 323 | 2025-01-17 11:02:37 | multinomial | 3 | 121633 | 8 | 21.750 | 5592.3 |
| 322 | 2025-01-17 11:02:35 | multinomial | 2 | 86808 | 2 | 10.500 | 8267.4 |
| 321 | 2025-01-16 16:36:13 | multinomial | 1 | 49908 | 2 | 3.830 | 13030.8 |
| 320 | 2025-01-13 21:38:01 | multinomial | 4 | 148819 | 24 | 56.753 | 2622.2 |
| 319 | 2025-01-13 21:38:14 | multinomial | 3 | 121633 | 8 | 24.283 | 5009.0 |
| 318 | 2025-01-13 21:38:07 | multinomial | 2 | 86808 | 2 | 10.843 | 8005.9 |
| 317 | 2025-01-11 01:31:41 | multinomial | 1 | 49908 | 2 | 3.750 | 13308.8 |
| 316 | 2025-01-10 00:38:22 | multinomial | 4 | 148819 | 24 | 47.593 | 3126.9 |
| 315 | 2025-01-08 03:34:25 | multinomial | 4 | 148819 | 24 | 36.363 | 4092.6 |
| 314 | 2024-12-25 07:20:43 | multinomial | 1 | 49908 | 2 | 3.843 | 12986.7 |
| 313 | 2024-12-17 14:56:51 | multinomial | 1 | 49908 | 2 | 0.856 | 58303.7 |
| 312 | 2024-12-17 06:11:31 | multinomial | 4 | 148819 | 24 | 61.440 | 2422.2 |
| 311 | 2024-12-17 06:11:21 | multinomial | 3 | 121633 | 8 | 24.363 | 4992.5 |
| 310 | 2024-12-17 06:11:10 | multinomial | 2 | 86808 | 2 | 13.783 | 6298.2 |
| 309 | 2024-12-17 06:10:57 | multinomial | 3 | 121633 | 8 | 25.346 | 4798.9 |
| 308 | 2024-12-10 12:04:38 | multinomial | 4 | 148819 | 24 | 44.613 | 3335.8 |
| 307 | 2024-12-10 12:04:44 | multinomial | 3 | 121633 | 8 | 37.430 | 3249.6 |
| 306 | 2024-12-10 12:04:23 | multinomial | 4 | 148819 | 24 | 45.130 | 3297.6 |
| 305 | 2024-12-10 12:04:41 | multinomial | 2 | 86808 | 2 | 11.280 | 7695.7 |
| 304 | 2024-12-07 22:52:44 | multinomial | 3 | 121633 | 8 | 23.626 | 5148.3 |
| 303 | 2024-12-07 22:52:53 | multinomial | 2 | 86808 | 2 | 11.640 | 7457.7 |
| 302 | 2024-12-07 22:50:33 | multinomial | 4 | 148819 | 24 | 53.626 | 2775.1 |
| 301 | 2024-12-07 22:48:28 | multinomial | 1 | 49908 | 2 | 4.250 | 11743.1 |
| 300 | 2024-11-29 21:53:45 | multinomial | 1 | 49908 | 2 | 2.110 | 23653.1 |
| 299 | 2024-11-23 18:14:15 | multinomial | 1 | 49908 | 2 | 4.233 | 11790.2 |
| 298 | 2024-11-15 00:39:48 | multinomial | 1 | 49908 | 2 | 2.436 | 20487.7 |
| 297 | 2024-11-14 17:47:25 | multinomial | 4 | 148819 | 24 | 53.206 | 2797.0 |
| 296 | 2024-11-08 00:07:56 | multinomial | 4 | 148819 | 24 | 42.736 | 3482.3 |
| 295 | 2024-11-08 00:07:54 | multinomial | 3 | 121633 | 8 | 22.566 | 5390.1 |
| 294 | 2024-11-02 23:36:50 | multinomial | 4 | 148819 | 24 | 46.783 | 3181.0 |
| 293 | 2024-11-02 23:34:31 | multinomial | 2 | 86808 | 2 | 11.580 | 7496.4 |
| 292 | 2024-11-02 23:34:19 | multinomial | 1 | 49908 | 2 | 1.920 | 25993.8 |
| 291 | 2024-11-02 22:36:33 | multinomial | 4 | 148819 | 24 | 37.080 | 4013.5 |
| 290 | 2024-11-02 21:58:34 | multinomial | 4 | 148819 | 24 | 65.270 | 2280.1 |
| 289 | 2024-10-29 11:41:14 | multinomial | 3 | 121633 | 8 | 27.376 | 4443.1 |
| 288 | 2024-10-29 11:41:02 | multinomial | 3 | 121633 | 8 | 29.546 | 4116.7 |
| 287 | 2024-10-29 11:41:02 | multinomial | 2 | 86808 | 2 | 10.140 | 8560.9 |
| 286 | 2024-10-29 11:40:41 | multinomial | 1 | 49908 | 2 | 2.173 | 22967.3 |
| 285 | 2024-10-05 18:56:55 | multinomial | 4 | 148819 | 24 | 73.956 | 2012.3 |
| 284 | 2024-10-05 18:56:59 | multinomial | 3 | 121633 | 8 | 36.626 | 3320.9 |
| 283 | 2024-10-05 18:56:55 | multinomial | 2 | 86808 | 2 | 17.983 | 4827.2 |
| 282 | 2024-10-05 18:55:04 | multinomial | 1 | 49908 | 2 | 6.766 | 7376.3 |
| 281 | 2024-09-27 12:20:35 | multinomial | 1 | 49908 | 2 | 9.203 | 5423.0 |