History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"locomotive"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 397 | 2026-02-12 13:25:25 | locomotive | 1 | 67641 | 2 | 1.216 | 55625.8 |
| 396 | 2026-02-11 07:22:08 | locomotive | 4 | 161450 | 39 | 38.470 | 4196.8 |
| 395 | 2026-02-06 22:43:30 | locomotive | 4 | 161450 | 39 | 52.423 | 3079.8 |
| 394 | 2026-02-03 23:46:02 | locomotive | 4 | 161450 | 39 | 16.610 | 9720.0 |
| 393 | 2026-02-03 23:42:04 | locomotive | 4 | 161450 | 39 | 15.923 | 10139.4 |
| 392 | 2026-01-30 19:14:28 | locomotive | 2 | 108824 | 5 | 15.736 | 6915.6 |
| 391 | 2026-01-27 19:18:59 | locomotive | 2 | 108824 | 5 | 3.216 | 33838.3 |
| 390 | 2026-01-21 04:40:34 | locomotive | 2 | 108824 | 5 | 2.873 | 37878.2 |
| 389 | 2026-01-20 23:53:23 | locomotive | 2 | 108824 | 5 | 8.410 | 12939.8 |
| 388 | 2026-01-20 02:04:33 | locomotive | 3 | 140603 | 14 | 6.250 | 22496.5 |
| 387 | 2026-01-20 02:04:01 | locomotive | 3 | 140603 | 14 | 5.563 | 25274.7 |
| 386 | 2026-01-15 14:08:45 | locomotive | 1 | 67641 | 2 | 1.250 | 54112.8 |
| 385 | 2026-01-12 17:16:29 | locomotive | 4 | 161450 | 39 | 33.750 | 4783.7 |
| 384 | 2026-01-12 03:41:18 | locomotive | 2 | 108824 | 5 | 10.640 | 10227.8 |
| 383 | 2026-01-11 11:03:11 | locomotive | 1 | 67641 | 2 | 1.013 | 66773.0 |
| 382 | 2026-01-11 06:58:24 | locomotive | 2 | 108824 | 5 | 3.623 | 30037.0 |
| 381 | 2026-01-11 03:54:00 | locomotive | 3 | 140603 | 14 | 6.140 | 22899.5 |
| 380 | 2026-01-11 02:24:42 | locomotive | 1 | 67641 | 2 | 1.013 | 66773.0 |
| 379 | 2026-01-10 14:39:59 | locomotive | 1 | 67641 | 2 | 1.143 | 59178.5 |
| 378 | 2026-01-10 09:56:13 | locomotive | 1 | 67641 | 2 | 1.236 | 54725.7 |
| 377 | 2026-01-10 05:28:57 | locomotive | 2 | 108824 | 5 | 2.940 | 37015.0 |
| 376 | 2026-01-10 05:24:32 | locomotive | 2 | 108824 | 5 | 2.983 | 36481.4 |
| 375 | 2026-01-07 22:03:52 | locomotive | 1 | 67641 | 2 | 1.610 | 42013.0 |
| 374 | 2026-01-07 22:02:44 | locomotive | 1 | 67641 | 2 | 4.003 | 16897.6 |
| 373 | 2026-01-04 22:39:59 | locomotive | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 372 | 2025-12-29 06:11:23 | locomotive | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 371 | 2025-12-22 01:15:57 | locomotive | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 370 | 2025-12-19 14:02:48 | locomotive | 2 | 108824 | 5 | 3.126 | 34812.5 |
| 369 | 2025-12-04 15:46:12 | locomotive | 4 | 161450 | 39 | 11.830 | 13647.5 |
| 368 | 2025-11-25 21:57:08 | locomotive | 3 | 140603 | 14 | 8.046 | 17474.9 |
| 367 | 2025-11-20 04:49:57 | locomotive | 2 | 108824 | 5 | 15.033 | 7239.0 |
| 366 | 2025-11-05 04:36:26 | locomotive | 2 | 108824 | 5 | 3.250 | 33484.3 |
| 365 | 2025-11-03 16:54:46 | locomotive | 3 | 140603 | 14 | 6.220 | 22605.0 |
| 364 | 2025-11-03 07:05:22 | locomotive | 2 | 108824 | 5 | 2.986 | 36444.7 |
| 363 | 2025-11-03 07:04:59 | locomotive | 3 | 140603 | 14 | 5.920 | 23750.5 |
| 362 | 2025-11-02 10:44:28 | locomotive | 4 | 161450 | 39 | 11.673 | 13831.1 |
| 361 | 2025-11-01 05:39:36 | locomotive | 4 | 161450 | 39 | 11.093 | 14554.2 |
| 360 | 2025-10-28 11:44:33 | locomotive | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 359 | 2025-10-20 09:04:44 | locomotive | 1 | 67641 | 2 | 5.330 | 12690.6 |
| 358 | 2025-10-20 09:04:28 | locomotive | 1 | 67641 | 2 | 10.140 | 6670.7 |
| 357 | 2025-10-20 09:04:14 | locomotive | 1 | 67641 | 2 | 7.046 | 9599.9 |
| 356 | 2025-10-20 09:04:05 | locomotive | 1 | 67641 | 2 | 4.733 | 14291.4 |
| 355 | 2025-10-08 10:48:41 | locomotive | 5 | 173545 | 318 | 14.643 | 11851.7 |
| 354 | 2025-10-07 10:56:56 | locomotive | 4 | 161450 | 39 | 10.360 | 15584.0 |
| 353 | 2025-10-05 16:28:14 | locomotive | 3 | 140603 | 14 | 6.343 | 22166.6 |
| 352 | 2025-10-03 16:29:44 | locomotive | 2 | 108824 | 5 | 2.750 | 39572.4 |
| 351 | 2025-10-02 12:01:54 | locomotive | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 350 | 2025-08-28 14:02:43 | locomotive | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 349 | 2025-08-28 03:48:49 | locomotive | 1 | 67641 | 2 | 1.063 | 63632.2 |
| 348 | 2025-07-25 09:59:09 | locomotive | 1 | 67641 | 2 | 5.703 | 11860.6 |
| 347 | 2025-07-25 09:45:54 | locomotive | 1 | 67641 | 2 | 2.403 | 28148.6 |
| 346 | 2025-07-25 02:42:26 | locomotive | 1 | 67641 | 2 | 2.936 | 23038.5 |
| 345 | 2025-07-24 20:25:41 | locomotive | 1 | 67641 | 2 | 2.876 | 23519.1 |
| 344 | 2025-07-24 17:10:54 | locomotive | 1 | 67641 | 2 | 3.046 | 22206.5 |
| 343 | 2025-07-19 06:01:33 | locomotive | 1 | 67641 | 2 | 1.233 | 54858.9 |
| 342 | 2025-07-13 10:33:18 | locomotive | 4 | 161450 | 39 | 11.453 | 14096.7 |
| 341 | 2025-06-27 10:14:51 | locomotive | 1 | 67641 | 2 | 5.703 | 11860.6 |
| 340 | 2025-06-20 16:59:10 | locomotive | 1 | 67641 | 2 | 3.000 | 22547.0 |
| 339 | 2025-06-18 13:56:19 | locomotive | 1 | 67641 | 2 | 5.720 | 11825.3 |
| 338 | 2025-04-06 02:40:32 | locomotive | 3 | 140603 | 14 | 24.440 | 5753.0 |
| 337 | 2025-03-28 23:43:47 | locomotive | 3 | 140603 | 14 | 31.593 | 4450.4 |
| 336 | 2025-03-28 01:11:26 | locomotive | 2 | 108824 | 5 | 10.503 | 10361.2 |
| 335 | 2025-03-26 17:25:46 | locomotive | 1 | 67641 | 2 | 2.063 | 32787.7 |
| 334 | 2025-03-23 18:33:54 | locomotive | 3 | 140603 | 14 | 33.346 | 4216.5 |
| 333 | 2025-03-11 03:49:22 | locomotive | 3 | 140603 | 14 | 18.546 | 7581.3 |
| 332 | 2025-03-05 16:00:45 | locomotive | 3 | 140603 | 14 | 32.080 | 4382.9 |
| 331 | 2025-02-13 18:56:57 | locomotive | 3 | 140603 | 14 | 32.596 | 4313.5 |
| 330 | 2025-02-10 09:02:21 | locomotive | 1 | 67641 | 2 | 1.013 | 66773.0 |
| 329 | 2025-02-08 23:29:21 | locomotive | 3 | 140603 | 14 | 32.476 | 4329.4 |
| 328 | 2025-02-08 23:23:49 | locomotive | 1 | 67641 | 2 | 5.156 | 13118.9 |
| 327 | 2025-02-07 15:09:27 | locomotive | 1 | 67641 | 2 | 5.080 | 13315.2 |
| 326 | 2025-02-03 20:55:56 | locomotive | 1 | 67641 | 2 | 2.156 | 31373.4 |
| 325 | 2025-02-03 01:47:10 | locomotive | 2 | 108824 | 5 | 15.340 | 7094.1 |
| 324 | 2025-02-03 01:47:06 | locomotive | 3 | 140603 | 14 | 16.050 | 8760.3 |
| 323 | 2025-02-03 01:46:54 | locomotive | 3 | 140603 | 14 | 27.140 | 5180.7 |
| 322 | 2025-01-31 06:34:54 | locomotive | 2 | 108824 | 5 | 15.923 | 6834.4 |
| 321 | 2025-01-31 06:34:06 | locomotive | 3 | 140603 | 14 | 32.720 | 4297.2 |
| 320 | 2025-01-09 16:29:57 | locomotive | 1 | 67641 | 2 | 3.030 | 22323.8 |
| 319 | 2025-01-08 09:43:17 | locomotive | 4 | 161450 | 39 | 52.163 | 3095.1 |
| 318 | 2025-01-08 09:01:09 | locomotive | 4 | 161450 | 39 | 44.796 | 3604.1 |
| 317 | 2025-01-08 09:01:07 | locomotive | 4 | 161450 | 39 | 37.080 | 4354.1 |
| 316 | 2025-01-08 09:01:01 | locomotive | 1 | 67641 | 2 | 1.623 | 41676.5 |
| 315 | 2025-01-08 09:00:42 | locomotive | 2 | 108824 | 5 | 12.890 | 8442.5 |
| 314 | 2025-01-01 18:47:42 | locomotive | 3 | 140603 | 14 | 28.436 | 4944.5 |
| 313 | 2025-01-01 18:47:45 | locomotive | 2 | 108824 | 5 | 15.673 | 6943.4 |
| 312 | 2025-01-01 18:44:30 | locomotive | 1 | 67641 | 2 | 4.920 | 13748.2 |
| 311 | 2024-12-24 22:59:00 | locomotive | 1 | 67641 | 2 | 2.513 | 26916.4 |
| 310 | 2024-12-22 09:40:20 | locomotive | 3 | 140603 | 14 | 45.720 | 3075.3 |
| 309 | 2024-12-20 16:59:49 | locomotive | 3 | 140603 | 14 | 47.050 | 2988.4 |
| 308 | 2024-12-16 07:15:24 | locomotive | 3 | 140603 | 14 | 36.873 | 3813.2 |
| 307 | 2024-12-14 17:55:33 | locomotive | 3 | 140603 | 14 | 37.016 | 3798.4 |
| 306 | 2024-12-01 17:38:59 | locomotive | 1 | 67641 | 2 | 3.266 | 20710.7 |
| 305 | 2024-11-24 06:42:43 | locomotive | 3 | 140603 | 14 | 30.526 | 4606.0 |
| 304 | 2024-11-23 22:32:35 | locomotive | 3 | 140603 | 14 | 41.130 | 3418.5 |
| 303 | 2024-11-23 22:32:19 | locomotive | 2 | 108824 | 5 | 15.623 | 6965.6 |
| 302 | 2024-11-19 21:32:45 | locomotive | 3 | 140603 | 14 | 33.046 | 4254.8 |
| 301 | 2024-11-19 21:32:32 | locomotive | 2 | 108824 | 5 | 8.373 | 12997.0 |
| 300 | 2024-11-13 02:25:26 | locomotive | 3 | 140603 | 14 | 30.750 | 4572.5 |
| 299 | 2024-11-13 02:25:17 | locomotive | 2 | 108824 | 5 | 15.220 | 7150.1 |
| 298 | 2024-11-07 01:25:20 | locomotive | 4 | 161450 | 39 | 55.580 | 2904.8 |