History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"casualties"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 391 | 2025-12-26 12:04:17 | casualties | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 390 | 2025-12-24 17:27:25 | casualties | 1 | 67641 | 1 | 5.796 | 11670.3 |
| 389 | 2025-12-24 17:27:16 | casualties | 1 | 67641 | 1 | 6.046 | 11187.7 |
| 388 | 2025-12-22 17:28:47 | casualties | 3 | 140603 | 23 | 6.656 | 21124.2 |
| 387 | 2025-12-22 06:49:53 | casualties | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 386 | 2025-12-21 01:46:39 | casualties | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 385 | 2025-12-20 07:14:38 | casualties | 3 | 140603 | 23 | 29.986 | 4689.0 |
| 384 | 2025-12-20 03:53:38 | casualties | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 383 | 2025-12-19 18:46:14 | casualties | 3 | 140603 | 23 | 26.796 | 5247.2 |
| 382 | 2025-12-18 15:49:17 | casualties | 2 | 108824 | 2 | 3.173 | 34296.9 |
| 381 | 2025-12-15 17:54:27 | casualties | 4 | 161450 | 225 | 10.313 | 15655.0 |
| 380 | 2025-12-15 12:24:57 | casualties | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 379 | 2025-12-14 11:10:45 | casualties | 4 | 161450 | 225 | 10.470 | 15420.2 |
| 378 | 2025-12-03 07:27:30 | casualties | 3 | 140603 | 23 | 6.096 | 23064.8 |
| 377 | 2025-11-30 22:33:25 | casualties | 3 | 140603 | 23 | 6.503 | 21621.3 |
| 376 | 2025-11-30 18:40:21 | casualties | 2 | 108824 | 2 | 6.436 | 16908.6 |
| 375 | 2025-11-26 07:50:26 | casualties | 1 | 67641 | 1 | 1.500 | 45094.0 |
| 374 | 2025-11-23 08:34:02 | casualties | 1 | 67641 | 1 | 2.483 | 27241.6 |
| 373 | 2025-11-15 01:34:37 | casualties | 4 | 161450 | 225 | 10.123 | 15948.8 |
| 372 | 2025-11-09 10:56:40 | casualties | 2 | 108824 | 2 | 3.250 | 33484.3 |
| 371 | 2025-11-07 06:41:08 | casualties | 2 | 108824 | 2 | 2.893 | 37616.3 |
| 370 | 2025-11-05 12:10:44 | casualties | 2 | 108824 | 2 | 3.593 | 30287.8 |
| 369 | 2025-11-03 17:47:06 | casualties | 2 | 108824 | 2 | 3.216 | 33838.3 |
| 368 | 2025-11-02 00:27:04 | casualties | 2 | 108824 | 2 | 3.360 | 32388.1 |
| 367 | 2025-10-31 05:27:51 | casualties | 2 | 108824 | 2 | 3.140 | 34657.3 |
| 366 | 2025-10-26 07:45:02 | casualties | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 365 | 2025-10-24 01:13:08 | casualties | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 364 | 2025-10-22 23:12:42 | casualties | 1 | 67641 | 1 | 2.970 | 22774.7 |
| 363 | 2025-10-17 13:01:21 | casualties | 4 | 161450 | 225 | 9.813 | 16452.7 |
| 362 | 2025-10-16 18:26:26 | casualties | 4 | 161450 | 225 | 15.220 | 10607.8 |
| 361 | 2025-10-15 18:28:40 | casualties | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 360 | 2025-10-01 15:31:36 | casualties | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 359 | 2025-09-30 15:17:07 | casualties | 2 | 108824 | 2 | 2.890 | 37655.4 |
| 358 | 2025-09-27 22:16:21 | casualties | 3 | 140603 | 23 | 6.656 | 21124.2 |
| 357 | 2025-09-27 09:11:32 | casualties | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 356 | 2025-09-23 09:21:25 | casualties | 3 | 140603 | 23 | 6.580 | 21368.2 |
| 355 | 2025-09-23 03:05:50 | casualties | 3 | 140603 | 23 | 6.796 | 20689.1 |
| 354 | 2025-09-21 10:24:43 | casualties | 3 | 140603 | 23 | 6.080 | 23125.5 |
| 353 | 2025-09-19 10:06:14 | casualties | 4 | 161450 | 225 | 12.236 | 13194.7 |
| 352 | 2025-09-11 14:27:24 | casualties | 2 | 108824 | 2 | 2.923 | 37230.2 |
| 351 | 2025-09-11 12:14:33 | casualties | 4 | 161450 | 225 | 11.860 | 13613.0 |
| 350 | 2025-09-09 22:57:28 | casualties | 2 | 108824 | 2 | 3.140 | 34657.3 |
| 349 | 2025-09-08 07:09:40 | casualties | 2 | 108824 | 2 | 3.076 | 35378.4 |
| 348 | 2025-08-27 08:33:12 | casualties | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 347 | 2025-08-26 20:27:38 | casualties | 2 | 108824 | 2 | 3.266 | 33320.3 |
| 346 | 2025-08-25 04:45:50 | casualties | 1 | 67641 | 1 | 8.986 | 7527.4 |
| 345 | 2025-08-24 17:13:05 | casualties | 4 | 161450 | 225 | 12.250 | 13179.6 |
| 344 | 2025-08-24 16:32:27 | casualties | 3 | 140603 | 23 | 6.736 | 20873.4 |
| 343 | 2025-08-21 15:40:49 | casualties | 4 | 161450 | 225 | 38.953 | 4144.7 |
| 342 | 2025-08-19 12:03:12 | casualties | 2 | 108824 | 2 | 6.076 | 17910.5 |
| 341 | 2025-08-19 04:09:39 | casualties | 3 | 140603 | 23 | 14.173 | 9920.5 |
| 340 | 2025-08-17 16:11:20 | casualties | 3 | 140603 | 23 | 29.643 | 4743.2 |
| 339 | 2025-08-17 12:38:37 | casualties | 4 | 161450 | 225 | 29.596 | 5455.1 |
| 338 | 2025-08-10 19:46:31 | casualties | 4 | 161450 | 225 | 25.470 | 6338.8 |
| 337 | 2025-08-09 04:23:04 | casualties | 1 | 67641 | 1 | 2.843 | 23792.1 |
| 336 | 2025-08-05 22:55:50 | casualties | 4 | 161450 | 225 | 36.690 | 4400.4 |
| 335 | 2025-08-05 21:09:18 | casualties | 3 | 140603 | 23 | 29.343 | 4791.7 |
| 334 | 2025-08-04 08:18:03 | casualties | 1 | 67641 | 1 | 3.933 | 17198.3 |
| 333 | 2025-07-25 05:48:24 | casualties | 1 | 67641 | 1 | 4.906 | 13787.4 |
| 332 | 2025-07-24 21:10:06 | casualties | 1 | 67641 | 1 | 4.483 | 15088.3 |
| 331 | 2025-07-24 12:45:39 | casualties | 1 | 67641 | 1 | 4.440 | 15234.5 |
| 330 | 2025-07-23 21:52:44 | casualties | 1 | 67641 | 1 | 6.110 | 11070.5 |
| 329 | 2025-07-22 15:06:38 | casualties | 1 | 67641 | 1 | 2.500 | 27056.4 |
| 328 | 2025-07-02 03:59:58 | casualties | 1 | 67641 | 1 | 2.983 | 22675.5 |
| 327 | 2025-06-20 18:17:44 | casualties | 1 | 67641 | 1 | 4.466 | 15145.8 |
| 326 | 2025-06-02 03:12:24 | casualties | 1 | 67641 | 1 | 3.076 | 21989.9 |
| 325 | 2025-05-21 05:08:37 | casualties | 1 | 67641 | 1 | 2.750 | 24596.7 |
| 324 | 2025-05-16 05:30:07 | casualties | 1 | 67641 | 1 | 8.063 | 8389.1 |
| 323 | 2025-05-02 13:14:32 | casualties | 1 | 67641 | 1 | 3.563 | 18984.3 |
| 322 | 2025-05-01 03:06:40 | casualties | 1 | 67641 | 1 | 6.110 | 11070.5 |
| 321 | 2025-04-18 12:09:53 | casualties | 4 | 161450 | 225 | 48.270 | 3344.7 |
| 320 | 2025-04-18 07:52:38 | casualties | 1 | 67641 | 1 | 5.250 | 12884.0 |
| 319 | 2025-04-11 04:10:26 | casualties | 4 | 161450 | 225 | 53.536 | 3015.7 |
| 318 | 2025-04-11 03:42:50 | casualties | 4 | 161450 | 225 | 54.703 | 2951.4 |
| 317 | 2025-04-09 16:30:34 | casualties | 3 | 140603 | 23 | 26.296 | 5346.9 |
| 316 | 2025-04-09 04:44:11 | casualties | 1 | 67641 | 1 | 8.440 | 8014.3 |
| 315 | 2025-04-08 22:35:11 | casualties | 4 | 161450 | 225 | 62.603 | 2578.9 |
| 314 | 2025-04-08 09:00:57 | casualties | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 313 | 2025-03-31 15:38:21 | casualties | 1 | 67641 | 1 | 8.186 | 8263.0 |
| 312 | 2025-02-25 22:07:02 | casualties | 1 | 67641 | 1 | 11.423 | 5921.5 |
| 311 | 2025-02-20 13:10:53 | casualties | 3 | 140603 | 23 | 29.316 | 4796.1 |
| 310 | 2025-02-20 13:10:54 | casualties | 2 | 108824 | 2 | 15.236 | 7142.6 |
| 309 | 2025-02-20 13:10:17 | casualties | 1 | 67641 | 1 | 3.610 | 18737.1 |
| 308 | 2025-02-18 18:43:48 | casualties | 1 | 67641 | 1 | 5.546 | 12196.4 |
| 307 | 2025-02-02 06:21:06 | casualties | 3 | 140603 | 23 | 36.813 | 3819.4 |
| 306 | 2025-01-31 08:24:37 | casualties | 3 | 140603 | 23 | 39.186 | 3588.1 |
| 305 | 2025-01-20 09:32:42 | casualties | 3 | 140603 | 23 | 33.440 | 4204.6 |
| 304 | 2025-01-20 09:32:36 | casualties | 3 | 140603 | 23 | 34.800 | 4040.3 |
| 303 | 2025-01-20 09:32:45 | casualties | 2 | 108824 | 2 | 18.860 | 5770.1 |
| 302 | 2025-01-20 09:29:43 | casualties | 1 | 67641 | 1 | 4.893 | 13824.0 |
| 301 | 2025-01-17 01:48:57 | casualties | 2 | 108824 | 2 | 13.846 | 7859.6 |
| 300 | 2025-01-17 01:47:08 | casualties | 1 | 67641 | 1 | 5.936 | 11395.0 |
| 299 | 2025-01-03 23:03:31 | casualties | 3 | 140603 | 23 | 33.706 | 4171.5 |
| 298 | 2025-01-01 08:39:32 | casualties | 3 | 140603 | 23 | 24.830 | 5662.6 |
| 297 | 2024-12-31 16:43:29 | casualties | 3 | 140603 | 23 | 32.073 | 4383.8 |
| 296 | 2024-12-31 16:43:29 | casualties | 2 | 108824 | 2 | 23.203 | 4690.1 |
| 295 | 2024-12-31 16:41:24 | casualties | 1 | 67641 | 1 | 5.236 | 12918.4 |
| 294 | 2024-12-18 17:04:01 | casualties | 2 | 108824 | 2 | 13.640 | 7978.3 |
| 293 | 2024-12-18 16:58:14 | casualties | 1 | 67641 | 1 | 3.563 | 18984.3 |
| 292 | 2024-12-03 14:47:23 | casualties | 3 | 140603 | 23 | 34.753 | 4045.8 |