History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"thorniness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
418 | 2025-08-27 01:55:39 | thorniness | 4 | 161450 | 406 | 23.380 | 6905.5 |
417 | 2025-08-25 02:49:39 | thorniness | 4 | 161450 | 406 | 61.126 | 2641.3 |
416 | 2025-08-23 00:48:17 | thorniness | 4 | 161450 | 406 | 46.156 | 3497.9 |
415 | 2025-08-22 15:28:08 | thorniness | 4 | 161450 | 406 | 10.983 | 14700.0 |
414 | 2025-08-21 16:21:42 | thorniness | 4 | 161450 | 406 | 25.610 | 6304.2 |
413 | 2025-08-21 12:19:28 | thorniness | 4 | 161450 | 406 | 43.453 | 3715.5 |
412 | 2025-08-19 05:54:10 | thorniness | 4 | 161450 | 406 | 26.456 | 6102.6 |
411 | 2025-08-09 21:49:20 | thorniness | 1 | 67641 | 2 | 3.030 | 22323.8 |
410 | 2025-08-09 09:23:11 | thorniness | 1 | 67641 | 2 | 5.123 | 13203.4 |
409 | 2025-08-02 21:10:40 | thorniness | 1 | 67641 | 2 | 2.420 | 27950.8 |
408 | 2025-07-27 09:07:45 | thorniness | 1 | 67641 | 2 | 5.300 | 12762.5 |
407 | 2025-07-20 01:56:40 | thorniness | 1 | 67641 | 2 | 1.233 | 54858.9 |
406 | 2025-07-13 22:13:33 | thorniness | 1 | 67641 | 2 | 8.173 | 8276.2 |
405 | 2025-07-10 18:20:47 | thorniness | 1 | 67641 | 2 | 5.466 | 12374.9 |
404 | 2025-07-06 00:32:22 | thorniness | 1 | 67641 | 2 | 1.123 | 60232.4 |
403 | 2025-07-03 23:24:07 | thorniness | 1 | 67641 | 2 | 5.423 | 12473.0 |
402 | 2025-07-02 08:03:37 | thorniness | 1 | 67641 | 2 | 7.296 | 9271.0 |
401 | 2025-06-28 05:16:36 | thorniness | 3 | 140603 | 61 | 17.313 | 8121.2 |
400 | 2025-06-27 04:35:41 | thorniness | 3 | 140603 | 61 | 53.626 | 2621.9 |
399 | 2025-06-26 07:33:16 | thorniness | 1 | 67641 | 2 | 5.686 | 11896.1 |
398 | 2025-06-25 03:20:37 | thorniness | 3 | 140603 | 61 | 32.923 | 4270.7 |
397 | 2025-06-24 12:39:43 | thorniness | 3 | 140603 | 61 | 21.716 | 6474.6 |
396 | 2025-06-24 02:01:17 | thorniness | 3 | 140603 | 61 | 16.406 | 8570.2 |
395 | 2025-06-22 17:56:09 | thorniness | 3 | 140603 | 61 | 22.766 | 6176.0 |
394 | 2025-06-22 07:40:05 | thorniness | 3 | 140603 | 61 | 27.953 | 5030.0 |
393 | 2025-06-19 19:39:02 | thorniness | 3 | 140603 | 61 | 6.623 | 21229.5 |
392 | 2025-06-19 06:13:54 | thorniness | 3 | 140603 | 61 | 11.670 | 12048.2 |
391 | 2025-06-13 21:54:06 | thorniness | 1 | 67641 | 2 | 3.076 | 21989.9 |
390 | 2025-06-11 15:37:47 | thorniness | 1 | 67641 | 2 | 5.173 | 13075.8 |
389 | 2025-06-03 23:19:37 | thorniness | 1 | 67641 | 2 | 5.826 | 11610.2 |
388 | 2025-05-27 21:01:08 | thorniness | 1 | 67641 | 2 | 1.140 | 59334.2 |
387 | 2025-05-26 08:18:50 | thorniness | 1 | 67641 | 2 | 4.860 | 13917.9 |
386 | 2025-05-20 21:10:22 | thorniness | 1 | 67641 | 2 | 2.406 | 28113.5 |
385 | 2025-05-20 08:05:21 | thorniness | 1 | 67641 | 2 | 2.670 | 25333.7 |
384 | 2025-05-13 08:53:21 | thorniness | 1 | 67641 | 2 | 4.280 | 15804.0 |
383 | 2025-05-07 21:32:42 | thorniness | 1 | 67641 | 2 | 3.576 | 18915.3 |
382 | 2025-05-06 10:14:00 | thorniness | 3 | 140603 | 61 | 24.923 | 5641.5 |
381 | 2025-05-06 06:57:04 | thorniness | 1 | 67641 | 2 | 5.486 | 12329.7 |
380 | 2025-04-30 07:29:26 | thorniness | 1 | 67641 | 2 | 4.703 | 14382.5 |
379 | 2025-04-28 03:52:27 | thorniness | 1 | 67641 | 2 | 6.376 | 10608.7 |
378 | 2025-04-23 05:54:18 | thorniness | 2 | 108824 | 8 | 15.220 | 7150.1 |
377 | 2025-04-22 02:41:59 | thorniness | 1 | 67641 | 2 | 1.186 | 57032.9 |
376 | 2025-04-16 06:03:28 | thorniness | 1 | 67641 | 2 | 5.000 | 13528.2 |
375 | 2025-04-01 21:29:33 | thorniness | 1 | 67641 | 2 | 7.906 | 8555.7 |
374 | 2025-03-29 09:43:20 | thorniness | 1 | 67641 | 2 | 5.470 | 12365.8 |
373 | 2025-03-24 08:14:33 | thorniness | 1 | 67641 | 2 | 3.736 | 18105.2 |
372 | 2025-03-20 08:10:04 | thorniness | 1 | 67641 | 2 | 2.486 | 27208.8 |
371 | 2025-03-03 05:34:59 | thorniness | 1 | 67641 | 2 | 5.313 | 12731.2 |
370 | 2025-02-22 18:49:56 | thorniness | 1 | 67641 | 2 | 5.110 | 13237.0 |
369 | 2025-02-20 02:10:19 | thorniness | 3 | 140603 | 61 | 29.533 | 4760.9 |
368 | 2025-02-18 20:23:42 | thorniness | 3 | 140603 | 61 | 32.190 | 4367.9 |
367 | 2025-02-17 03:06:27 | thorniness | 3 | 140603 | 61 | 21.770 | 6458.6 |
366 | 2025-02-17 03:06:26 | thorniness | 2 | 108824 | 8 | 17.503 | 6217.4 |
365 | 2025-02-16 08:40:33 | thorniness | 3 | 140603 | 61 | 31.860 | 4413.2 |
364 | 2025-02-16 08:40:27 | thorniness | 2 | 108824 | 8 | 13.173 | 8261.1 |
363 | 2025-02-16 08:39:28 | thorniness | 3 | 140603 | 61 | 37.346 | 3764.9 |
362 | 2025-02-16 08:36:50 | thorniness | 1 | 67641 | 2 | 2.763 | 24481.0 |
361 | 2025-02-08 08:17:39 | thorniness | 1 | 67641 | 2 | 9.216 | 7339.5 |
360 | 2025-02-07 02:22:41 | thorniness | 1 | 67641 | 2 | 6.516 | 10380.8 |
359 | 2025-01-27 18:57:18 | thorniness | 1 | 67641 | 2 | 0.983 | 68810.8 |
358 | 2025-01-04 11:20:59 | thorniness | 3 | 140603 | 61 | 39.300 | 3577.7 |
357 | 2025-01-04 02:54:07 | thorniness | 3 | 140603 | 61 | 30.253 | 4647.6 |
356 | 2025-01-04 02:54:09 | thorniness | 2 | 108824 | 8 | 25.766 | 4223.6 |
355 | 2025-01-04 02:54:10 | thorniness | 3 | 140603 | 61 | 23.533 | 5974.7 |
354 | 2025-01-04 01:47:40 | thorniness | 1 | 67641 | 2 | 7.956 | 8501.9 |
353 | 2025-01-03 14:15:27 | thorniness | 1 | 67641 | 2 | 1.156 | 58513.0 |
352 | 2024-12-29 04:11:38 | thorniness | 1 | 67641 | 2 | 1.780 | 38000.6 |
351 | 2024-11-27 20:30:28 | thorniness | 1 | 67641 | 2 | 1.093 | 61885.6 |
350 | 2024-11-04 21:41:43 | thorniness | 3 | 140603 | 61 | 41.783 | 3365.1 |
349 | 2024-11-04 21:33:58 | thorniness | 2 | 108824 | 8 | 21.626 | 5032.1 |
348 | 2024-11-03 05:59:16 | thorniness | 3 | 140603 | 61 | 34.800 | 4040.3 |
347 | 2024-11-02 18:23:43 | thorniness | 3 | 140603 | 61 | 31.890 | 4409.0 |
346 | 2024-11-02 18:23:34 | thorniness | 2 | 108824 | 8 | 17.643 | 6168.1 |
345 | 2024-11-02 18:23:12 | thorniness | 1 | 67641 | 2 | 6.486 | 10428.8 |
344 | 2024-11-01 17:31:39 | thorniness | 3 | 140603 | 61 | 37.623 | 3737.2 |
343 | 2024-11-01 11:13:46 | thorniness | 1 | 67641 | 2 | 3.076 | 21989.9 |
342 | 2024-10-26 14:07:31 | thorniness | 3 | 140603 | 61 | 28.330 | 4963.0 |
341 | 2024-10-26 14:05:33 | thorniness | 1 | 67641 | 2 | 5.030 | 13447.5 |
340 | 2024-10-18 14:59:01 | thorniness | 2 | 108824 | 8 | 17.030 | 6390.1 |
339 | 2024-10-11 00:52:03 | thorniness | 2 | 108824 | 8 | 13.703 | 7941.6 |
338 | 2024-10-11 00:50:01 | thorniness | 1 | 67641 | 2 | 2.750 | 24596.7 |
337 | 2024-10-06 12:35:56 | thorniness | 3 | 140603 | 61 | 62.613 | 2245.6 |
336 | 2024-09-30 20:51:26 | thorniness | 3 | 140603 | 61 | 50.703 | 2773.1 |
335 | 2024-09-30 12:57:26 | thorniness | 3 | 140603 | 61 | 60.573 | 2321.2 |
334 | 2024-09-27 17:12:44 | thorniness | 3 | 140603 | 61 | 51.203 | 2746.0 |
333 | 2024-09-27 17:12:41 | thorniness | 3 | 140603 | 61 | 35.360 | 3976.3 |
332 | 2024-09-27 17:12:44 | thorniness | 2 | 108824 | 8 | 24.593 | 4425.0 |
331 | 2024-09-27 16:30:58 | thorniness | 1 | 67641 | 2 | 3.953 | 17111.3 |
330 | 2024-09-26 00:08:30 | thorniness | 1 | 67641 | 2 | 8.203 | 8245.9 |
329 | 2024-09-10 18:49:30 | thorniness | 1 | 67641 | 2 | 4.390 | 15408.0 |
328 | 2024-09-10 18:17:02 | thorniness | 1 | 67641 | 2 | 11.346 | 5961.7 |
327 | 2024-09-08 15:10:15 | thorniness | 1 | 67641 | 2 | 5.703 | 11860.6 |
326 | 2024-08-30 04:39:11 | thorniness | 3 | 140603 | 61 | 39.576 | 3552.7 |
325 | 2024-08-27 11:21:11 | thorniness | 3 | 140603 | 61 | 6.376 | 22051.9 |
324 | 2024-08-27 11:21:12 | thorniness | 2 | 108824 | 8 | 3.093 | 35184.0 |
323 | 2024-08-27 11:21:01 | thorniness | 1 | 67641 | 2 | 1.953 | 34634.4 |
322 | 2024-08-26 09:41:34 | thorniness | 3 | 140603 | 61 | 66.393 | 2117.7 |
321 | 2024-08-21 22:40:58 | thorniness | 3 | 140603 | 61 | 74.436 | 1888.9 |
320 | 2024-08-19 00:06:22 | thorniness | 3 | 140603 | 61 | 36.643 | 3837.1 |
319 | 2024-08-15 19:21:51 | thorniness | 1 | 67641 | 2 | 6.080 | 11125.2 |