History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trajectory"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 430 | 2026-02-10 18:28:08 | trajectory | 4 | 161450 | 61 | 16.470 | 9802.7 |
| 429 | 2026-02-09 19:27:44 | trajectory | 1 | 67641 | 1 | 4.953 | 13656.6 |
| 428 | 2026-02-08 03:30:36 | trajectory | 4 | 161450 | 61 | 30.186 | 5348.5 |
| 427 | 2026-02-08 01:32:19 | trajectory | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 426 | 2026-02-06 21:32:02 | trajectory | 2 | 108824 | 1 | 5.156 | 21106.3 |
| 425 | 2026-02-03 00:22:49 | trajectory | 2 | 108824 | 1 | 3.233 | 33660.4 |
| 424 | 2026-01-31 09:41:12 | trajectory | 3 | 140603 | 20 | 5.830 | 24117.2 |
| 423 | 2026-01-31 09:40:52 | trajectory | 3 | 140603 | 20 | 6.956 | 20213.2 |
| 422 | 2026-01-30 13:28:42 | trajectory | 3 | 140603 | 20 | 6.406 | 21948.6 |
| 421 | 2026-01-28 11:09:58 | trajectory | 3 | 140603 | 20 | 6.733 | 20882.7 |
| 420 | 2026-01-28 11:09:33 | trajectory | 3 | 140603 | 20 | 7.360 | 19103.7 |
| 419 | 2026-01-27 02:41:47 | trajectory | 3 | 140603 | 20 | 13.466 | 10441.3 |
| 418 | 2026-01-26 05:23:45 | trajectory | 2 | 108824 | 1 | 3.266 | 33320.3 |
| 417 | 2026-01-25 12:29:52 | trajectory | 2 | 108824 | 1 | 3.080 | 35332.5 |
| 416 | 2026-01-25 08:37:24 | trajectory | 1 | 67641 | 1 | 2.906 | 23276.3 |
| 415 | 2026-01-24 17:51:06 | trajectory | 2 | 108824 | 1 | 5.236 | 20783.8 |
| 414 | 2026-01-23 16:13:43 | trajectory | 2 | 108824 | 1 | 3.640 | 29896.7 |
| 413 | 2026-01-23 01:41:20 | trajectory | 2 | 108824 | 1 | 5.560 | 19572.7 |
| 412 | 2026-01-22 18:40:44 | trajectory | 1 | 67641 | 1 | 5.126 | 13195.7 |
| 411 | 2026-01-21 00:17:36 | trajectory | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 410 | 2026-01-01 13:24:14 | trajectory | 1 | 67641 | 1 | 5.626 | 12022.9 |
| 409 | 2025-12-30 09:47:13 | trajectory | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 408 | 2025-12-24 21:32:51 | trajectory | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 407 | 2025-12-24 05:32:11 | trajectory | 2 | 108824 | 1 | 7.766 | 14012.9 |
| 406 | 2025-12-23 15:08:48 | trajectory | 1 | 67641 | 1 | 1.736 | 38963.7 |
| 405 | 2025-12-05 07:07:39 | trajectory | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 404 | 2025-12-02 15:20:29 | trajectory | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 403 | 2025-11-30 22:09:58 | trajectory | 5 | 173545 | 436 | 27.096 | 6404.8 |
| 402 | 2025-11-23 18:01:41 | trajectory | 5 | 173545 | 436 | 36.800 | 4715.9 |
| 401 | 2025-11-23 00:44:00 | trajectory | 1 | 67641 | 1 | 1.626 | 41599.6 |
| 400 | 2025-11-18 21:49:13 | trajectory | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 399 | 2025-11-18 01:17:29 | trajectory | 5 | 173545 | 436 | 15.033 | 11544.3 |
| 398 | 2025-11-15 06:36:04 | trajectory | 5 | 173545 | 436 | 17.423 | 9960.7 |
| 397 | 2025-11-07 15:23:26 | trajectory | 5 | 173545 | 436 | 19.736 | 8793.3 |
| 396 | 2025-11-01 07:04:30 | trajectory | 5 | 173545 | 436 | 16.423 | 10567.2 |
| 395 | 2025-10-25 14:26:23 | trajectory | 5 | 173545 | 436 | 18.360 | 9452.3 |
| 394 | 2025-10-19 17:42:21 | trajectory | 1 | 67641 | 1 | 3.046 | 22206.5 |
| 393 | 2025-10-18 20:08:51 | trajectory | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 392 | 2025-10-10 01:25:19 | trajectory | 5 | 173545 | 436 | 17.300 | 10031.5 |
| 391 | 2025-10-01 13:34:34 | trajectory | 5 | 173545 | 436 | 30.970 | 5603.6 |
| 390 | 2025-09-27 04:42:20 | trajectory | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 389 | 2025-09-22 05:13:24 | trajectory | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 388 | 2025-09-19 06:39:30 | trajectory | 2 | 108824 | 1 | 6.156 | 17677.7 |
| 387 | 2025-09-18 17:33:59 | trajectory | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 386 | 2025-09-16 10:12:12 | trajectory | 5 | 173545 | 436 | 16.470 | 10537.0 |
| 385 | 2025-09-14 15:02:37 | trajectory | 5 | 173545 | 436 | 17.906 | 9692.0 |
| 384 | 2025-09-10 11:03:12 | trajectory | 5 | 173545 | 436 | 17.220 | 10078.1 |
| 383 | 2025-09-08 05:05:00 | trajectory | 2 | 108824 | 1 | 3.216 | 33838.3 |
| 382 | 2025-09-08 02:17:54 | trajectory | 3 | 140603 | 20 | 5.530 | 25425.5 |
| 381 | 2025-09-07 13:04:55 | trajectory | 3 | 140603 | 20 | 6.500 | 21631.2 |
| 380 | 2025-09-02 21:16:17 | trajectory | 2 | 108824 | 1 | 3.233 | 33660.4 |
| 379 | 2025-08-28 12:21:00 | trajectory | 1 | 67641 | 1 | 1.143 | 59178.5 |
| 378 | 2025-08-27 23:12:55 | trajectory | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 377 | 2025-08-27 02:52:12 | trajectory | 2 | 108824 | 1 | 3.390 | 32101.5 |
| 376 | 2025-08-26 19:55:11 | trajectory | 3 | 140603 | 20 | 6.263 | 22449.8 |
| 375 | 2025-08-22 18:13:59 | trajectory | 3 | 140603 | 20 | 9.046 | 15543.1 |
| 374 | 2025-08-06 03:17:55 | trajectory | 5 | 173545 | 436 | 46.330 | 3745.8 |
| 373 | 2025-08-05 16:27:20 | trajectory | 1 | 67641 | 1 | 2.266 | 29850.4 |
| 372 | 2025-08-03 01:19:21 | trajectory | 3 | 140603 | 20 | 34.750 | 4046.1 |
| 371 | 2025-07-31 01:00:15 | trajectory | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 370 | 2025-07-30 13:48:49 | trajectory | 3 | 140603 | 20 | 7.406 | 18985.0 |
| 369 | 2025-07-27 08:49:24 | trajectory | 5 | 173545 | 436 | 65.613 | 2645.0 |
| 368 | 2025-07-25 05:23:51 | trajectory | 1 | 67641 | 1 | 2.330 | 29030.5 |
| 367 | 2025-07-22 16:24:53 | trajectory | 5 | 173545 | 436 | 70.893 | 2448.0 |
| 366 | 2025-07-19 16:11:16 | trajectory | 3 | 140603 | 20 | 6.390 | 22003.6 |
| 365 | 2025-07-17 03:59:43 | trajectory | 5 | 173545 | 436 | 49.346 | 3516.9 |
| 364 | 2025-07-16 14:32:04 | trajectory | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 363 | 2025-07-16 12:34:01 | trajectory | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 362 | 2025-07-14 12:33:59 | trajectory | 5 | 173545 | 436 | 88.660 | 1957.4 |
| 361 | 2025-07-14 11:37:24 | trajectory | 2 | 108824 | 1 | 15.703 | 6930.1 |
| 360 | 2025-07-12 23:50:04 | trajectory | 1 | 67641 | 1 | 1.986 | 34058.9 |
| 359 | 2025-07-12 20:43:15 | trajectory | 4 | 161450 | 61 | 11.843 | 13632.5 |
| 358 | 2025-07-11 19:00:05 | trajectory | 4 | 161450 | 61 | 61.490 | 2625.6 |
| 357 | 2025-07-11 03:19:19 | trajectory | 4 | 161450 | 61 | 76.943 | 2098.3 |
| 356 | 2025-07-10 23:39:46 | trajectory | 2 | 108824 | 1 | 18.533 | 5871.9 |
| 355 | 2025-07-10 21:22:27 | trajectory | 3 | 140603 | 20 | 22.623 | 6215.0 |
| 354 | 2025-07-10 11:58:16 | trajectory | 4 | 161450 | 61 | 56.563 | 2854.3 |
| 353 | 2025-07-10 06:43:12 | trajectory | 4 | 161450 | 61 | 47.530 | 3396.8 |
| 352 | 2025-07-10 04:39:06 | trajectory | 4 | 161450 | 61 | 65.643 | 2459.5 |
| 351 | 2025-07-10 01:11:29 | trajectory | 2 | 108824 | 1 | 16.470 | 6607.4 |
| 350 | 2025-07-09 21:55:26 | trajectory | 3 | 140603 | 20 | 20.316 | 6920.8 |
| 349 | 2025-07-09 03:33:13 | trajectory | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 348 | 2025-07-09 01:32:55 | trajectory | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 347 | 2025-06-24 05:35:07 | trajectory | 1 | 67641 | 1 | 2.626 | 25758.2 |
| 346 | 2025-06-02 10:54:54 | trajectory | 3 | 140603 | 20 | 22.520 | 6243.5 |
| 345 | 2025-05-27 02:08:03 | trajectory | 4 | 161450 | 61 | 43.766 | 3688.9 |
| 344 | 2025-05-23 02:28:53 | trajectory | 4 | 161450 | 61 | 11.486 | 14056.2 |
| 343 | 2025-05-14 02:38:44 | trajectory | 1 | 67641 | 1 | 5.860 | 11542.8 |
| 342 | 2025-04-28 04:21:59 | trajectory | 2 | 108824 | 1 | 10.440 | 10423.8 |
| 341 | 2025-04-28 04:07:57 | trajectory | 3 | 140603 | 20 | 46.613 | 3016.4 |
| 340 | 2025-04-27 04:41:20 | trajectory | 1 | 67641 | 1 | 2.080 | 32519.7 |
| 339 | 2025-04-25 07:58:16 | trajectory | 4 | 161450 | 61 | 25.816 | 6253.9 |
| 338 | 2025-04-21 03:42:53 | trajectory | 4 | 161450 | 61 | 75.786 | 2130.3 |
| 337 | 2025-04-20 02:46:59 | trajectory | 1 | 67641 | 1 | 3.643 | 18567.4 |
| 336 | 2025-04-17 04:55:43 | trajectory | 4 | 161450 | 61 | 10.923 | 14780.7 |
| 335 | 2025-03-21 02:08:41 | trajectory | 4 | 161450 | 61 | 63.830 | 2529.4 |
| 334 | 2025-03-16 18:42:47 | trajectory | 4 | 161450 | 61 | 63.926 | 2525.6 |
| 333 | 2025-03-16 18:42:47 | trajectory | 3 | 140603 | 20 | 27.660 | 5083.3 |
| 332 | 2025-03-14 05:19:30 | trajectory | 4 | 161450 | 61 | 54.596 | 2957.2 |
| 331 | 2025-03-14 02:06:38 | trajectory | 4 | 161450 | 61 | 57.126 | 2826.2 |