History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"volumetric"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 433 | 2026-02-15 02:42:24 | volumetric | 3 | 140603 | 11 | 8.250 | 17042.8 |
| 432 | 2026-02-14 17:19:19 | volumetric | 1 | 67641 | 1 | 2.656 | 25467.2 |
| 431 | 2026-02-14 17:19:11 | volumetric | 1 | 67641 | 1 | 5.280 | 12810.8 |
| 430 | 2026-02-08 12:19:41 | volumetric | 1 | 67641 | 1 | 1.546 | 43752.3 |
| 429 | 2026-02-05 17:40:53 | volumetric | 3 | 140603 | 11 | 6.516 | 21578.1 |
| 428 | 2026-02-04 07:09:22 | volumetric | 4 | 161450 | 70 | 10.503 | 15371.8 |
| 427 | 2026-01-30 04:12:51 | volumetric | 2 | 108824 | 2 | 3.126 | 34812.5 |
| 426 | 2026-01-30 03:57:32 | volumetric | 5 | 173545 | 303 | 25.736 | 6743.3 |
| 425 | 2026-01-29 20:51:07 | volumetric | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 424 | 2026-01-28 09:10:09 | volumetric | 2 | 108824 | 2 | 3.140 | 34657.3 |
| 423 | 2026-01-27 03:20:22 | volumetric | 2 | 108824 | 2 | 6.910 | 15748.8 |
| 422 | 2026-01-26 22:53:13 | volumetric | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 421 | 2026-01-26 21:54:36 | volumetric | 1 | 67641 | 1 | 1.533 | 44123.3 |
| 420 | 2026-01-26 18:29:17 | volumetric | 4 | 161450 | 70 | 18.300 | 8822.4 |
| 419 | 2026-01-26 17:45:30 | volumetric | 2 | 108824 | 2 | 5.046 | 21566.4 |
| 418 | 2026-01-26 14:06:19 | volumetric | 1 | 67641 | 1 | 1.310 | 51634.4 |
| 417 | 2026-01-25 18:58:00 | volumetric | 1 | 67641 | 1 | 5.406 | 12512.2 |
| 416 | 2026-01-25 11:55:22 | volumetric | 3 | 140603 | 11 | 6.280 | 22389.0 |
| 415 | 2026-01-25 11:12:03 | volumetric | 2 | 108824 | 2 | 4.436 | 24532.0 |
| 414 | 2026-01-25 03:22:44 | volumetric | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 413 | 2026-01-23 16:29:09 | volumetric | 3 | 140603 | 11 | 6.656 | 21124.2 |
| 412 | 2026-01-23 01:40:36 | volumetric | 3 | 140603 | 11 | 7.140 | 19692.3 |
| 411 | 2026-01-22 23:22:59 | volumetric | 2 | 108824 | 2 | 3.220 | 33796.3 |
| 410 | 2026-01-22 13:17:25 | volumetric | 3 | 140603 | 11 | 16.236 | 8660.0 |
| 409 | 2026-01-22 06:06:56 | volumetric | 4 | 161450 | 70 | 54.596 | 2957.2 |
| 408 | 2026-01-22 03:50:51 | volumetric | 3 | 140603 | 11 | 7.076 | 19870.4 |
| 407 | 2026-01-21 12:43:31 | volumetric | 4 | 161450 | 70 | 12.063 | 13383.9 |
| 406 | 2026-01-20 01:23:24 | volumetric | 4 | 161450 | 70 | 11.610 | 13906.1 |
| 405 | 2026-01-19 17:07:04 | volumetric | 3 | 140603 | 11 | 26.066 | 5394.1 |
| 404 | 2026-01-14 14:05:28 | volumetric | 2 | 108824 | 2 | 2.966 | 36690.5 |
| 403 | 2026-01-13 18:43:15 | volumetric | 4 | 161450 | 70 | 17.233 | 9368.7 |
| 402 | 2026-01-10 15:43:09 | volumetric | 5 | 173545 | 303 | 15.953 | 10878.5 |
| 401 | 2026-01-09 01:16:40 | volumetric | 4 | 161450 | 70 | 13.750 | 11741.8 |
| 400 | 2026-01-01 13:22:20 | volumetric | 1 | 67641 | 1 | 6.936 | 9752.2 |
| 399 | 2025-12-31 16:46:17 | volumetric | 4 | 161450 | 70 | 10.483 | 15401.1 |
| 398 | 2025-12-31 14:41:23 | volumetric | 3 | 140603 | 11 | 5.923 | 23738.5 |
| 397 | 2025-12-30 23:11:56 | volumetric | 2 | 108824 | 2 | 5.470 | 19894.7 |
| 396 | 2025-12-30 06:16:42 | volumetric | 5 | 173545 | 303 | 16.030 | 10826.3 |
| 395 | 2025-12-30 02:48:20 | volumetric | 5 | 173545 | 303 | 17.093 | 10153.0 |
| 394 | 2025-12-29 20:45:17 | volumetric | 1 | 67641 | 1 | 2.203 | 30704.0 |
| 393 | 2025-12-26 14:31:36 | volumetric | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 392 | 2025-12-26 03:57:53 | volumetric | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 391 | 2025-12-23 14:36:52 | volumetric | 5 | 173545 | 303 | 17.733 | 9786.6 |
| 390 | 2025-12-15 22:26:41 | volumetric | 1 | 67641 | 1 | 1.846 | 36641.9 |
| 389 | 2025-12-08 01:34:35 | volumetric | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 388 | 2025-11-29 18:32:40 | volumetric | 4 | 161450 | 70 | 12.143 | 13295.7 |
| 387 | 2025-11-27 10:01:20 | volumetric | 4 | 161450 | 70 | 10.266 | 15726.7 |
| 386 | 2025-11-26 02:58:07 | volumetric | 4 | 161450 | 70 | 10.890 | 14825.5 |
| 385 | 2025-11-15 07:22:40 | volumetric | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 384 | 2025-11-12 13:23:34 | volumetric | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 383 | 2025-10-31 21:36:18 | volumetric | 4 | 161450 | 70 | 10.690 | 15102.9 |
| 382 | 2025-10-27 01:28:02 | volumetric | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 381 | 2025-10-23 06:51:25 | volumetric | 4 | 161450 | 70 | 40.690 | 3967.8 |
| 380 | 2025-10-22 17:01:30 | volumetric | 5 | 173545 | 303 | 51.003 | 3402.6 |
| 379 | 2025-10-20 14:22:04 | volumetric | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 378 | 2025-10-18 03:31:49 | volumetric | 4 | 161450 | 70 | 10.890 | 14825.5 |
| 377 | 2025-10-01 09:08:30 | volumetric | 5 | 173545 | 303 | 16.813 | 10322.1 |
| 376 | 2025-09-30 14:41:58 | volumetric | 4 | 161450 | 70 | 10.670 | 15131.2 |
| 375 | 2025-09-27 18:51:06 | volumetric | 5 | 173545 | 303 | 17.173 | 10105.7 |
| 374 | 2025-09-12 01:59:00 | volumetric | 5 | 173545 | 303 | 16.513 | 10509.6 |
| 373 | 2025-09-11 11:50:42 | volumetric | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 372 | 2025-09-09 23:48:08 | volumetric | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 371 | 2025-09-07 06:04:01 | volumetric | 5 | 173545 | 303 | 15.780 | 10997.8 |
| 370 | 2025-09-01 21:08:39 | volumetric | 5 | 173545 | 303 | 26.140 | 6639.1 |
| 369 | 2025-08-25 01:12:24 | volumetric | 1 | 67641 | 1 | 6.280 | 10770.9 |
| 368 | 2025-08-24 22:38:46 | volumetric | 5 | 173545 | 303 | 59.300 | 2926.6 |
| 367 | 2025-08-23 11:19:42 | volumetric | 5 | 173545 | 303 | 57.923 | 2996.1 |
| 366 | 2025-08-21 06:00:05 | volumetric | 5 | 173545 | 303 | 63.346 | 2739.6 |
| 365 | 2025-08-20 14:52:08 | volumetric | 1 | 67641 | 1 | 1.890 | 35788.9 |
| 364 | 2025-08-17 11:53:14 | volumetric | 4 | 161450 | 70 | 26.436 | 6107.2 |
| 363 | 2025-08-17 07:47:24 | volumetric | 4 | 161450 | 70 | 36.440 | 4430.6 |
| 362 | 2025-08-15 11:45:32 | volumetric | 4 | 161450 | 70 | 46.986 | 3436.1 |
| 361 | 2025-08-15 09:56:05 | volumetric | 4 | 161450 | 70 | 34.126 | 4731.0 |
| 360 | 2025-08-14 10:48:01 | volumetric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 359 | 2025-07-26 23:55:32 | volumetric | 1 | 67641 | 1 | 4.810 | 14062.6 |
| 358 | 2025-07-25 19:17:12 | volumetric | 1 | 67641 | 1 | 2.393 | 28266.2 |
| 357 | 2025-07-25 06:31:49 | volumetric | 1 | 67641 | 1 | 3.266 | 20710.7 |
| 356 | 2025-07-25 04:22:22 | volumetric | 1 | 67641 | 1 | 3.046 | 22206.5 |
| 355 | 2025-07-04 10:53:52 | volumetric | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 354 | 2025-06-20 19:29:37 | volumetric | 2 | 108824 | 2 | 20.626 | 5276.1 |
| 353 | 2025-06-19 01:49:43 | volumetric | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 352 | 2025-06-18 10:15:16 | volumetric | 1 | 67641 | 1 | 9.276 | 7292.0 |
| 351 | 2025-06-18 05:41:11 | volumetric | 1 | 67641 | 1 | 2.656 | 25467.2 |
| 350 | 2025-06-14 14:55:48 | volumetric | 4 | 161450 | 70 | 56.316 | 2866.9 |
| 349 | 2025-06-12 09:58:08 | volumetric | 4 | 161450 | 70 | 56.233 | 2871.1 |
| 348 | 2025-06-08 07:36:35 | volumetric | 4 | 161450 | 70 | 53.096 | 3040.7 |
| 347 | 2025-06-08 04:49:08 | volumetric | 1 | 67641 | 1 | 5.423 | 12473.0 |
| 346 | 2025-06-06 12:53:04 | volumetric | 4 | 161450 | 70 | 63.753 | 2532.4 |
| 345 | 2025-06-04 11:22:03 | volumetric | 4 | 161450 | 70 | 54.206 | 2978.5 |
| 344 | 2025-06-03 04:23:48 | volumetric | 1 | 67641 | 1 | 2.673 | 25305.3 |
| 343 | 2025-05-22 08:02:48 | volumetric | 1 | 67641 | 1 | 7.826 | 8643.1 |
| 342 | 2025-05-08 05:44:22 | volumetric | 1 | 67641 | 1 | 5.283 | 12803.5 |
| 341 | 2025-05-02 04:22:51 | volumetric | 3 | 140603 | 11 | 20.750 | 6776.0 |
| 340 | 2025-04-29 14:04:32 | volumetric | 2 | 108824 | 2 | 11.346 | 9591.4 |
| 339 | 2025-04-22 22:13:05 | volumetric | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 338 | 2025-04-20 16:58:54 | volumetric | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 337 | 2025-04-08 12:54:42 | volumetric | 4 | 161450 | 70 | 56.650 | 2850.0 |
| 336 | 2025-04-05 07:13:19 | volumetric | 4 | 161450 | 70 | 11.546 | 13983.2 |
| 335 | 2025-04-04 01:17:53 | volumetric | 1 | 67641 | 1 | 2.923 | 23141.0 |
| 334 | 2025-03-26 05:56:48 | volumetric | 1 | 67641 | 1 | 4.940 | 13692.5 |