History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"condensible"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 408 | 2025-12-24 02:28:44 | condensible | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 407 | 2025-12-22 03:55:48 | condensible | 5 | 164607 | 287 | 15.406 | 10684.6 |
| 406 | 2025-12-21 10:17:10 | condensible | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 405 | 2025-12-21 09:57:19 | condensible | 5 | 164607 | 287 | 13.406 | 12278.6 |
| 404 | 2025-12-19 21:57:02 | condensible | 4 | 148819 | 57 | 10.063 | 14788.7 |
| 403 | 2025-12-04 22:23:12 | condensible | 2 | 86808 | 2 | 2.390 | 36321.3 |
| 402 | 2025-12-01 05:57:17 | condensible | 1 | 49908 | 2 | 0.906 | 55086.1 |
| 401 | 2025-11-30 21:01:15 | condensible | 1 | 49908 | 2 | 1.983 | 25167.9 |
| 400 | 2025-11-28 01:18:29 | condensible | 1 | 49908 | 2 | 1.563 | 31930.9 |
| 399 | 2025-11-27 23:34:00 | condensible | 2 | 86808 | 2 | 2.560 | 33909.4 |
| 398 | 2025-11-27 08:56:45 | condensible | 1 | 49908 | 2 | 1.076 | 46382.9 |
| 397 | 2025-11-27 04:07:13 | condensible | 5 | 164607 | 287 | 15.453 | 10652.1 |
| 396 | 2025-11-25 23:58:37 | condensible | 5 | 164607 | 287 | 19.626 | 8387.2 |
| 395 | 2025-11-25 19:32:04 | condensible | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 394 | 2025-11-22 19:00:50 | condensible | 3 | 121633 | 16 | 15.513 | 7840.7 |
| 393 | 2025-11-17 13:57:27 | condensible | 1 | 49908 | 2 | 0.876 | 56972.6 |
| 392 | 2025-11-15 15:19:45 | condensible | 1 | 49908 | 2 | 1.330 | 37524.8 |
| 391 | 2025-11-11 11:33:40 | condensible | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 390 | 2025-11-03 17:28:35 | condensible | 4 | 148819 | 57 | 15.593 | 9544.0 |
| 389 | 2025-10-31 22:51:25 | condensible | 4 | 148819 | 57 | 9.516 | 15638.8 |
| 388 | 2025-10-30 19:46:31 | condensible | 2 | 86808 | 2 | 2.406 | 36079.8 |
| 387 | 2025-10-26 02:31:34 | condensible | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 386 | 2025-10-25 23:21:02 | condensible | 1 | 49908 | 2 | 0.920 | 54247.8 |
| 385 | 2025-10-25 20:27:54 | condensible | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 384 | 2025-10-18 12:38:11 | condensible | 1 | 49908 | 2 | 0.940 | 53093.6 |
| 383 | 2025-10-15 16:47:34 | condensible | 1 | 49908 | 2 | 0.940 | 53093.6 |
| 382 | 2025-10-14 21:06:33 | condensible | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 381 | 2025-10-05 14:19:46 | condensible | 1 | 49908 | 2 | 0.903 | 55269.1 |
| 380 | 2025-09-29 06:43:58 | condensible | 1 | 49908 | 2 | 0.813 | 61387.5 |
| 379 | 2025-09-28 22:07:12 | condensible | 1 | 49908 | 2 | 1.060 | 47083.0 |
| 378 | 2025-09-26 05:49:18 | condensible | 1 | 49908 | 2 | 0.843 | 59202.8 |
| 377 | 2025-09-25 02:41:44 | condensible | 1 | 49908 | 2 | 0.860 | 58032.6 |
| 376 | 2025-09-21 20:00:51 | condensible | 3 | 121633 | 16 | 5.440 | 22359.0 |
| 375 | 2025-09-21 09:23:48 | condensible | 1 | 49908 | 2 | 0.796 | 62698.5 |
| 374 | 2025-09-18 12:31:49 | condensible | 3 | 121633 | 16 | 5.420 | 22441.5 |
| 373 | 2025-09-17 19:48:05 | condensible | 1 | 49908 | 2 | 0.873 | 57168.4 |
| 372 | 2025-09-08 16:28:16 | condensible | 1 | 49908 | 2 | 0.936 | 53320.5 |
| 371 | 2025-08-11 21:23:26 | condensible | 4 | 148819 | 57 | 41.350 | 3599.0 |
| 370 | 2025-08-10 13:51:30 | condensible | 4 | 148819 | 57 | 27.846 | 5344.4 |
| 369 | 2025-08-09 13:51:01 | condensible | 1 | 49908 | 2 | 4.406 | 11327.3 |
| 368 | 2025-08-09 10:57:10 | condensible | 1 | 49908 | 2 | 5.486 | 9097.3 |
| 367 | 2025-08-05 05:35:38 | condensible | 4 | 148819 | 57 | 36.486 | 4078.8 |
| 366 | 2025-07-26 03:44:01 | condensible | 1 | 49908 | 2 | 3.876 | 12876.2 |
| 365 | 2025-07-25 06:19:16 | condensible | 1 | 49908 | 2 | 1.346 | 37078.8 |
| 364 | 2025-07-24 07:35:58 | condensible | 1 | 49908 | 2 | 3.483 | 14329.0 |
| 363 | 2025-07-24 05:02:19 | condensible | 1 | 49908 | 2 | 5.593 | 8923.3 |
| 362 | 2025-07-18 16:16:42 | condensible | 1 | 49908 | 2 | 4.173 | 11959.7 |
| 361 | 2025-07-16 21:57:29 | condensible | 1 | 49908 | 2 | 4.780 | 10441.0 |
| 360 | 2025-07-02 10:18:59 | condensible | 1 | 49908 | 2 | 2.110 | 23653.1 |
| 359 | 2025-07-01 22:23:12 | condensible | 1 | 49908 | 2 | 4.266 | 11699.0 |
| 358 | 2025-06-18 04:12:35 | condensible | 1 | 49908 | 2 | 2.876 | 17353.3 |
| 357 | 2025-06-16 06:45:16 | condensible | 1 | 49908 | 2 | 4.126 | 12096.0 |
| 356 | 2025-06-03 23:40:16 | condensible | 2 | 86808 | 2 | 12.063 | 7196.2 |
| 355 | 2025-06-01 17:30:55 | condensible | 1 | 49908 | 2 | 0.923 | 54071.5 |
| 354 | 2025-06-01 09:16:05 | condensible | 1 | 49908 | 2 | 4.093 | 12193.5 |
| 353 | 2025-05-27 08:29:36 | condensible | 1 | 49908 | 2 | 2.153 | 23180.7 |
| 352 | 2025-05-18 00:48:16 | condensible | 1 | 49908 | 2 | 4.656 | 10719.1 |
| 351 | 2025-05-14 12:38:08 | condensible | 3 | 121633 | 16 | 14.703 | 8272.7 |
| 350 | 2025-05-14 11:48:42 | condensible | 4 | 148819 | 57 | 37.723 | 3945.0 |
| 349 | 2025-05-10 17:11:28 | condensible | 4 | 148819 | 57 | 44.723 | 3327.6 |
| 348 | 2025-05-10 07:26:28 | condensible | 3 | 121633 | 16 | 16.563 | 7343.7 |
| 347 | 2025-05-10 05:33:36 | condensible | 4 | 148819 | 57 | 66.066 | 2252.6 |
| 346 | 2025-05-05 12:25:52 | condensible | 2 | 86808 | 2 | 12.346 | 7031.3 |
| 345 | 2025-05-05 09:57:16 | condensible | 3 | 121633 | 16 | 27.626 | 4402.8 |
| 344 | 2025-05-05 00:50:03 | condensible | 4 | 148819 | 57 | 13.250 | 11231.6 |
| 343 | 2025-05-03 06:30:32 | condensible | 1 | 49908 | 2 | 4.623 | 10795.6 |
| 342 | 2025-04-23 20:58:37 | condensible | 1 | 49908 | 2 | 4.593 | 10866.1 |
| 341 | 2025-04-05 22:34:10 | condensible | 1 | 49908 | 2 | 2.830 | 17635.3 |
| 340 | 2025-03-24 03:38:52 | condensible | 1 | 49908 | 2 | 4.126 | 12096.0 |
| 339 | 2025-03-23 21:10:14 | condensible | 4 | 148819 | 57 | 46.113 | 3227.3 |
| 338 | 2025-03-23 00:41:10 | condensible | 4 | 148819 | 57 | 65.266 | 2280.2 |
| 337 | 2025-03-20 02:18:05 | condensible | 4 | 148819 | 57 | 28.420 | 5236.4 |
| 336 | 2025-03-17 12:56:50 | condensible | 4 | 148819 | 57 | 59.190 | 2514.3 |
| 335 | 2025-03-01 15:30:37 | condensible | 2 | 86808 | 2 | 12.560 | 6911.5 |
| 334 | 2025-03-01 15:27:03 | condensible | 1 | 49908 | 2 | 2.110 | 23653.1 |
| 333 | 2025-02-22 18:50:05 | condensible | 3 | 121633 | 16 | 26.940 | 4515.0 |
| 332 | 2025-02-21 05:22:13 | condensible | 3 | 121633 | 16 | 18.580 | 6546.4 |
| 331 | 2025-02-21 05:22:11 | condensible | 2 | 86808 | 2 | 11.313 | 7673.3 |
| 330 | 2025-02-21 05:18:36 | condensible | 1 | 49908 | 2 | 4.423 | 11283.7 |
| 329 | 2025-02-21 05:15:52 | condensible | 4 | 148819 | 57 | 31.470 | 4728.9 |
| 328 | 2025-02-19 23:51:17 | condensible | 3 | 121633 | 16 | 14.503 | 8386.7 |
| 327 | 2025-02-19 23:50:59 | condensible | 3 | 121633 | 16 | 25.740 | 4725.4 |
| 326 | 2025-02-18 13:22:06 | condensible | 4 | 148819 | 57 | 51.380 | 2896.4 |
| 325 | 2025-02-18 13:22:02 | condensible | 3 | 121633 | 16 | 36.253 | 3355.1 |
| 324 | 2025-02-18 13:21:53 | condensible | 2 | 86808 | 2 | 17.126 | 5068.8 |
| 323 | 2025-02-18 13:18:10 | condensible | 1 | 49908 | 2 | 1.703 | 29305.9 |
| 322 | 2025-02-16 03:04:38 | condensible | 4 | 148819 | 57 | 36.300 | 4099.7 |
| 321 | 2025-02-16 03:04:24 | condensible | 2 | 86808 | 2 | 12.310 | 7051.8 |
| 320 | 2025-02-16 03:03:38 | condensible | 1 | 49908 | 2 | 1.766 | 28260.5 |
| 319 | 2025-02-04 11:32:22 | condensible | 1 | 49908 | 2 | 0.940 | 53093.6 |
| 318 | 2025-01-23 05:13:26 | condensible | 3 | 121633 | 16 | 17.753 | 6851.4 |
| 317 | 2025-01-18 01:21:41 | condensible | 3 | 121633 | 16 | 29.160 | 4171.2 |
| 316 | 2025-01-16 04:04:59 | condensible | 2 | 86808 | 2 | 12.766 | 6799.9 |
| 315 | 2025-01-16 04:04:41 | condensible | 3 | 121633 | 16 | 27.516 | 4420.4 |
| 314 | 2025-01-16 04:04:34 | condensible | 3 | 121633 | 16 | 27.780 | 4378.4 |
| 313 | 2025-01-16 04:02:19 | condensible | 1 | 49908 | 2 | 3.220 | 15499.4 |
| 312 | 2025-01-14 20:41:31 | condensible | 3 | 121633 | 16 | 39.783 | 3057.4 |
| 311 | 2025-01-14 20:40:01 | condensible | 1 | 49908 | 2 | 4.390 | 11368.6 |
| 310 | 2025-01-11 03:42:21 | condensible | 3 | 121633 | 16 | 24.580 | 4948.5 |
| 309 | 2025-01-08 06:55:55 | condensible | 3 | 121633 | 16 | 23.673 | 5138.0 |