History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"costliness"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 403 | 2025-12-09 20:59:33 | costliness | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 402 | 2025-10-28 07:27:49 | costliness | 2 | 108824 | 10 | 3.313 | 32847.6 |
| 401 | 2025-10-03 01:23:58 | costliness | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 400 | 2025-09-25 06:08:14 | costliness | 3 | 140603 | 84 | 35.000 | 4017.2 |
| 399 | 2025-09-25 06:08:13 | costliness | 3 | 140603 | 84 | 26.160 | 5374.7 |
| 398 | 2025-09-25 06:08:13 | costliness | 2 | 108824 | 10 | 16.796 | 6479.2 |
| 397 | 2025-09-25 06:07:21 | costliness | 3 | 140603 | 84 | 38.986 | 3606.5 |
| 396 | 2025-09-25 06:07:17 | costliness | 3 | 140603 | 84 | 37.190 | 3780.7 |
| 395 | 2025-09-25 06:07:18 | costliness | 2 | 108824 | 10 | 14.800 | 7353.0 |
| 394 | 2025-09-25 06:06:17 | costliness | 4 | 161450 | 552 | 58.873 | 2742.3 |
| 393 | 2025-09-25 06:05:45 | costliness | 4 | 161450 | 552 | 66.966 | 2410.9 |
| 392 | 2025-09-25 06:06:15 | costliness | 3 | 140603 | 84 | 28.863 | 4871.4 |
| 391 | 2025-09-25 06:05:44 | costliness | 3 | 140603 | 84 | 44.256 | 3177.0 |
| 390 | 2025-09-25 06:06:13 | costliness | 2 | 108824 | 10 | 14.223 | 7651.3 |
| 389 | 2025-09-25 06:05:43 | costliness | 2 | 108824 | 10 | 14.330 | 7594.1 |
| 388 | 2025-09-25 05:14:51 | costliness | 1 | 67641 | 1 | 2.626 | 25758.2 |
| 387 | 2025-09-03 02:35:13 | costliness | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 386 | 2025-08-22 04:49:07 | costliness | 4 | 161450 | 552 | 37.063 | 4356.1 |
| 385 | 2025-08-17 11:30:13 | costliness | 4 | 161450 | 552 | 28.783 | 5609.2 |
| 384 | 2025-08-15 18:41:17 | costliness | 4 | 161450 | 552 | 10.956 | 14736.2 |
| 383 | 2025-08-14 03:54:29 | costliness | 1 | 67641 | 1 | 1.030 | 65670.9 |
| 382 | 2025-08-13 18:25:21 | costliness | 2 | 108824 | 10 | 17.173 | 6336.9 |
| 381 | 2025-08-10 21:21:44 | costliness | 4 | 161450 | 552 | 37.720 | 4280.2 |
| 380 | 2025-08-10 21:21:37 | costliness | 4 | 161450 | 552 | 32.843 | 4915.8 |
| 379 | 2025-08-10 02:00:06 | costliness | 2 | 108824 | 10 | 7.436 | 14634.7 |
| 378 | 2025-08-09 16:59:37 | costliness | 1 | 67641 | 1 | 8.156 | 8293.4 |
| 377 | 2025-08-09 08:28:17 | costliness | 1 | 67641 | 1 | 2.513 | 26916.4 |
| 376 | 2025-08-09 03:53:21 | costliness | 1 | 67641 | 1 | 2.690 | 25145.4 |
| 375 | 2025-08-07 20:34:24 | costliness | 4 | 161450 | 552 | 56.833 | 2840.8 |
| 374 | 2025-08-07 10:41:21 | costliness | 2 | 108824 | 10 | 9.406 | 11569.6 |
| 373 | 2025-07-31 08:27:03 | costliness | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 372 | 2025-07-26 23:43:47 | costliness | 1 | 67641 | 1 | 4.203 | 16093.5 |
| 371 | 2025-07-26 17:47:37 | costliness | 3 | 140603 | 84 | 16.766 | 8386.2 |
| 370 | 2025-07-17 03:13:20 | costliness | 3 | 140603 | 84 | 13.890 | 10122.6 |
| 369 | 2025-07-15 09:01:01 | costliness | 2 | 108824 | 10 | 15.310 | 7108.0 |
| 368 | 2025-07-15 08:11:24 | costliness | 3 | 140603 | 84 | 26.076 | 5392.0 |
| 367 | 2025-07-13 03:26:34 | costliness | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 366 | 2025-07-02 17:17:34 | costliness | 1 | 67641 | 1 | 6.063 | 11156.4 |
| 365 | 2025-06-25 23:25:07 | costliness | 1 | 67641 | 1 | 2.580 | 26217.4 |
| 364 | 2025-06-24 11:43:26 | costliness | 1 | 67641 | 1 | 3.563 | 18984.3 |
| 363 | 2025-06-22 07:23:54 | costliness | 4 | 161450 | 552 | 57.720 | 2797.1 |
| 362 | 2025-06-18 01:22:00 | costliness | 1 | 67641 | 1 | 2.733 | 24749.7 |
| 361 | 2025-06-17 09:36:38 | costliness | 4 | 161450 | 552 | 16.000 | 10090.6 |
| 360 | 2025-06-14 02:41:23 | costliness | 2 | 108824 | 10 | 12.000 | 9068.7 |
| 359 | 2025-06-13 20:34:28 | costliness | 4 | 161450 | 552 | 48.530 | 3326.8 |
| 358 | 2025-06-13 04:12:44 | costliness | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 357 | 2025-06-10 02:27:30 | costliness | 1 | 67641 | 1 | 5.766 | 11731.0 |
| 356 | 2025-06-06 01:53:46 | costliness | 1 | 67641 | 1 | 8.140 | 8309.7 |
| 355 | 2025-05-31 06:20:41 | costliness | 4 | 161450 | 552 | 56.413 | 2861.9 |
| 354 | 2025-05-25 23:49:08 | costliness | 1 | 67641 | 1 | 8.453 | 8002.0 |
| 353 | 2025-05-23 14:27:41 | costliness | 4 | 161450 | 552 | 46.846 | 3446.4 |
| 352 | 2025-05-18 22:49:05 | costliness | 4 | 161450 | 552 | 12.266 | 13162.4 |
| 351 | 2025-05-15 22:44:41 | costliness | 4 | 161450 | 552 | 77.846 | 2074.0 |
| 350 | 2025-05-15 11:23:59 | costliness | 4 | 161450 | 552 | 52.720 | 3062.4 |
| 349 | 2025-05-13 20:43:22 | costliness | 4 | 161450 | 552 | 36.206 | 4459.2 |
| 348 | 2025-05-13 20:37:29 | costliness | 2 | 108824 | 10 | 14.956 | 7276.3 |
| 347 | 2025-05-11 18:18:31 | costliness | 4 | 161450 | 552 | 15.156 | 10652.5 |
| 346 | 2025-05-11 03:45:52 | costliness | 1 | 67641 | 1 | 7.423 | 9112.4 |
| 345 | 2025-05-09 17:22:56 | costliness | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 344 | 2025-05-06 20:13:13 | costliness | 4 | 161450 | 552 | 13.940 | 11581.8 |
| 343 | 2025-05-04 10:09:13 | costliness | 2 | 108824 | 10 | 12.220 | 8905.4 |
| 342 | 2025-05-04 06:24:48 | costliness | 1 | 67641 | 1 | 5.950 | 11368.2 |
| 341 | 2025-04-30 22:19:59 | costliness | 1 | 67641 | 1 | 5.220 | 12958.0 |
| 340 | 2025-04-27 05:26:12 | costliness | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 339 | 2025-04-25 12:53:32 | costliness | 1 | 67641 | 1 | 3.190 | 21204.1 |
| 338 | 2025-04-24 10:04:51 | costliness | 3 | 140603 | 84 | 25.113 | 5598.8 |
| 337 | 2025-04-22 23:12:00 | costliness | 1 | 67641 | 1 | 5.800 | 11662.2 |
| 336 | 2025-04-21 08:57:14 | costliness | 3 | 140603 | 84 | 56.456 | 2490.5 |
| 335 | 2025-04-20 23:35:50 | costliness | 2 | 108824 | 10 | 13.656 | 7969.0 |
| 334 | 2025-04-20 13:20:17 | costliness | 4 | 161450 | 552 | 12.970 | 12448.0 |
| 333 | 2025-04-20 01:27:06 | costliness | 1 | 67641 | 1 | 5.940 | 11387.4 |
| 332 | 2025-04-12 20:54:30 | costliness | 4 | 161450 | 552 | 12.076 | 13369.5 |
| 331 | 2025-04-12 06:24:56 | costliness | 4 | 161450 | 552 | 38.736 | 4168.0 |
| 330 | 2025-04-12 01:42:31 | costliness | 3 | 140603 | 84 | 28.003 | 5021.0 |
| 329 | 2025-04-11 11:35:50 | costliness | 4 | 161450 | 552 | 61.346 | 2631.8 |
| 328 | 2025-04-11 07:52:23 | costliness | 3 | 140603 | 84 | 25.550 | 5503.1 |
| 327 | 2025-04-10 05:51:09 | costliness | 4 | 161450 | 552 | 10.826 | 14913.2 |
| 326 | 2025-04-10 05:18:08 | costliness | 3 | 140603 | 84 | 12.393 | 11345.4 |
| 325 | 2025-04-08 20:45:48 | costliness | 2 | 108824 | 10 | 8.030 | 13552.2 |
| 324 | 2025-04-08 01:32:10 | costliness | 1 | 67641 | 1 | 4.063 | 16648.0 |
| 323 | 2025-04-06 21:43:38 | costliness | 2 | 108824 | 10 | 10.110 | 10764.0 |
| 322 | 2025-04-04 00:14:50 | costliness | 2 | 108824 | 10 | 24.046 | 4525.7 |
| 321 | 2025-04-03 00:10:17 | costliness | 1 | 67641 | 1 | 2.670 | 25333.7 |
| 320 | 2025-04-02 04:32:35 | costliness | 1 | 67641 | 1 | 3.936 | 17185.2 |
| 319 | 2025-03-23 00:55:30 | costliness | 1 | 67641 | 1 | 8.766 | 7716.3 |
| 318 | 2025-03-08 07:13:54 | costliness | 1 | 67641 | 1 | 2.936 | 23038.5 |
| 317 | 2025-03-03 08:00:25 | costliness | 3 | 140603 | 84 | 33.126 | 4244.5 |
| 316 | 2025-03-03 08:00:19 | costliness | 2 | 108824 | 10 | 14.970 | 7269.5 |
| 315 | 2025-03-03 07:57:21 | costliness | 1 | 67641 | 1 | 4.923 | 13739.8 |
| 314 | 2025-03-02 12:20:29 | costliness | 4 | 161450 | 552 | 69.520 | 2322.4 |
| 313 | 2025-03-02 12:13:27 | costliness | 4 | 161450 | 552 | 63.290 | 2551.0 |
| 312 | 2025-03-02 10:43:19 | costliness | 1 | 67641 | 1 | 5.766 | 11731.0 |
| 311 | 2025-03-02 10:13:51 | costliness | 4 | 161450 | 552 | 55.580 | 2904.8 |
| 310 | 2025-03-02 10:08:07 | costliness | 4 | 161450 | 552 | 61.536 | 2623.7 |
| 309 | 2025-03-02 10:07:38 | costliness | 1 | 67641 | 1 | 5.656 | 11959.2 |
| 308 | 2025-02-28 19:12:21 | costliness | 3 | 140603 | 84 | 25.000 | 5624.1 |
| 307 | 2025-02-28 19:12:16 | costliness | 2 | 108824 | 10 | 18.330 | 5936.9 |
| 306 | 2025-02-28 19:10:35 | costliness | 1 | 67641 | 1 | 5.313 | 12731.2 |
| 305 | 2025-02-24 12:03:19 | costliness | 2 | 108824 | 10 | 23.470 | 4636.7 |
| 304 | 2025-02-23 17:54:49 | costliness | 3 | 140603 | 84 | 34.456 | 4080.7 |