History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tightness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
413 | 2025-09-11 19:24:23 | tightness | 1 | 81242 | 3 | 1.390 | 58447.5 |
412 | 2025-08-11 18:25:33 | tightness | 1 | 81242 | 3 | 3.356 | 24208.0 |
411 | 2025-08-11 16:06:50 | tightness | 1 | 81242 | 3 | 3.813 | 21306.6 |
410 | 2025-08-11 14:11:44 | tightness | 3 | 148641 | 75 | 31.923 | 4656.2 |
409 | 2025-08-11 12:32:46 | tightness | 3 | 148641 | 75 | 33.953 | 4377.8 |
408 | 2025-08-11 01:14:05 | tightness | 2 | 121436 | 16 | 14.220 | 8539.8 |
407 | 2025-08-10 10:37:19 | tightness | 1 | 81242 | 3 | 4.816 | 16869.2 |
406 | 2025-08-09 18:58:06 | tightness | 1 | 81242 | 3 | 1.220 | 66591.8 |
405 | 2025-08-09 08:42:33 | tightness | 1 | 81242 | 3 | 6.970 | 11656.0 |
404 | 2025-07-31 15:55:58 | tightness | 1 | 81242 | 3 | 6.766 | 12007.4 |
403 | 2025-07-22 12:06:19 | tightness | 1 | 81242 | 3 | 7.080 | 11474.9 |
402 | 2025-07-17 17:09:04 | tightness | 1 | 81242 | 3 | 5.330 | 15242.4 |
401 | 2025-07-12 22:36:20 | tightness | 1 | 81242 | 3 | 1.373 | 59171.2 |
400 | 2025-07-12 07:59:59 | tightness | 1 | 81242 | 3 | 1.250 | 64993.6 |
399 | 2025-07-10 02:13:42 | tightness | 1 | 81242 | 3 | 3.376 | 24064.6 |
398 | 2025-07-08 19:13:23 | tightness | 1 | 81242 | 3 | 1.296 | 62686.7 |
397 | 2025-07-07 09:02:29 | tightness | 1 | 81242 | 3 | 5.203 | 15614.5 |
396 | 2025-06-30 08:57:13 | tightness | 1 | 81242 | 3 | 7.080 | 11474.9 |
395 | 2025-06-24 23:09:44 | tightness | 1 | 81242 | 3 | 1.466 | 55417.5 |
394 | 2025-06-16 12:33:07 | tightness | 1 | 81242 | 3 | 4.296 | 18911.1 |
393 | 2025-06-12 06:19:20 | tightness | 1 | 81242 | 3 | 6.686 | 12151.1 |
392 | 2025-06-11 10:12:34 | tightness | 1 | 81242 | 3 | 6.530 | 12441.3 |
391 | 2025-06-08 19:21:13 | tightness | 1 | 81242 | 3 | 3.250 | 24997.5 |
390 | 2025-06-06 13:16:05 | tightness | 1 | 81242 | 3 | 6.780 | 11982.6 |
389 | 2025-06-05 22:03:10 | tightness | 1 | 81242 | 3 | 10.390 | 7819.2 |
388 | 2025-06-05 07:44:12 | tightness | 1 | 81242 | 3 | 7.936 | 10237.1 |
387 | 2025-06-02 16:54:08 | tightness | 1 | 81242 | 3 | 4.516 | 17989.8 |
386 | 2025-05-26 19:09:23 | tightness | 1 | 81242 | 3 | 9.563 | 8495.5 |
385 | 2025-05-25 23:32:02 | tightness | 4 | 165329 | 478 | 77.150 | 2143.0 |
384 | 2025-05-10 04:57:12 | tightness | 1 | 81242 | 3 | 6.470 | 12556.7 |
383 | 2025-05-08 06:46:31 | tightness | 1 | 81242 | 3 | 6.860 | 11842.9 |
382 | 2025-05-05 21:06:44 | tightness | 4 | 165329 | 478 | 60.956 | 2712.3 |
381 | 2025-05-05 05:30:34 | tightness | 4 | 165329 | 478 | 11.313 | 14614.1 |
380 | 2025-05-04 22:02:19 | tightness | 2 | 121436 | 16 | 3.766 | 32245.4 |
379 | 2025-05-04 05:21:38 | tightness | 2 | 121436 | 16 | 18.033 | 6734.1 |
378 | 2025-05-03 11:21:47 | tightness | 3 | 148641 | 75 | 6.640 | 22385.7 |
377 | 2025-05-03 09:31:59 | tightness | 3 | 148641 | 75 | 7.050 | 21083.8 |
376 | 2025-05-01 06:05:46 | tightness | 2 | 121436 | 16 | 11.466 | 10591.0 |
375 | 2025-05-01 05:27:47 | tightness | 3 | 148641 | 75 | 23.003 | 6461.8 |
374 | 2025-04-25 07:56:42 | tightness | 1 | 81242 | 3 | 3.173 | 25604.2 |
373 | 2025-04-15 23:59:47 | tightness | 1 | 81242 | 3 | 6.143 | 13225.1 |
372 | 2025-04-15 15:36:27 | tightness | 2 | 121436 | 16 | 3.046 | 39867.4 |
371 | 2025-04-15 14:55:17 | tightness | 3 | 148641 | 75 | 19.170 | 7753.8 |
370 | 2025-04-11 13:28:05 | tightness | 1 | 81242 | 3 | 7.233 | 11232.1 |
369 | 2025-04-04 16:26:52 | tightness | 1 | 81242 | 3 | 6.126 | 13261.8 |
368 | 2025-04-04 05:49:01 | tightness | 1 | 81242 | 3 | 6.263 | 12971.7 |
367 | 2025-03-29 08:59:59 | tightness | 1 | 81242 | 3 | 5.000 | 16248.4 |
366 | 2025-03-24 08:42:29 | tightness | 1 | 81242 | 3 | 9.860 | 8239.6 |
365 | 2025-03-16 18:26:15 | tightness | 1 | 81242 | 3 | 4.440 | 18297.7 |
364 | 2025-03-12 04:53:01 | tightness | 1 | 81242 | 3 | 8.796 | 9236.2 |
363 | 2025-03-08 20:34:36 | tightness | 3 | 148641 | 75 | 15.890 | 9354.4 |
362 | 2025-03-04 10:21:23 | tightness | 2 | 121436 | 16 | 10.123 | 11996.0 |
361 | 2025-03-01 21:52:57 | tightness | 3 | 148641 | 75 | 35.580 | 4177.7 |
360 | 2025-03-01 20:07:58 | tightness | 3 | 148641 | 75 | 20.750 | 7163.4 |
359 | 2025-03-01 20:07:52 | tightness | 2 | 121436 | 16 | 17.250 | 7039.8 |
358 | 2025-02-27 04:24:49 | tightness | 3 | 148641 | 75 | 38.630 | 3847.8 |
357 | 2025-02-27 04:24:50 | tightness | 3 | 148641 | 75 | 30.113 | 4936.1 |
356 | 2025-02-27 04:24:43 | tightness | 2 | 121436 | 16 | 15.750 | 7710.2 |
355 | 2025-02-27 04:18:59 | tightness | 1 | 81242 | 3 | 6.610 | 12290.8 |
354 | 2025-02-25 17:20:44 | tightness | 1 | 81242 | 3 | 1.203 | 67532.8 |
353 | 2025-02-18 05:45:59 | tightness | 1 | 81242 | 3 | 8.923 | 9104.8 |
352 | 2025-02-14 17:55:00 | tightness | 3 | 148641 | 75 | 34.393 | 4321.8 |
351 | 2025-02-09 03:28:23 | tightness | 1 | 81242 | 3 | 8.563 | 9487.6 |
350 | 2025-02-05 04:12:51 | tightness | 3 | 148641 | 75 | 37.863 | 3925.8 |
349 | 2025-01-29 20:59:17 | tightness | 3 | 148641 | 75 | 34.063 | 4363.7 |
348 | 2025-01-29 20:59:19 | tightness | 2 | 121436 | 16 | 22.420 | 5416.4 |
347 | 2025-01-29 19:44:08 | tightness | 1 | 81242 | 3 | 6.516 | 12468.1 |
346 | 2025-01-29 04:39:48 | tightness | 3 | 148641 | 75 | 54.630 | 2720.9 |
345 | 2025-01-27 21:30:55 | tightness | 1 | 81242 | 3 | 1.470 | 55266.7 |
344 | 2025-01-18 09:12:46 | tightness | 3 | 148641 | 75 | 31.313 | 4746.9 |
343 | 2025-01-18 09:12:40 | tightness | 1 | 81242 | 3 | 3.156 | 25742.1 |
342 | 2025-01-13 10:37:25 | tightness | 3 | 148641 | 75 | 35.626 | 4172.3 |
341 | 2025-01-13 10:37:15 | tightness | 2 | 121436 | 16 | 21.846 | 5558.7 |
340 | 2024-12-27 06:49:57 | tightness | 3 | 148641 | 75 | 35.613 | 4173.8 |
339 | 2024-12-27 06:49:58 | tightness | 2 | 121436 | 16 | 23.876 | 5086.1 |
338 | 2024-12-27 06:49:33 | tightness | 1 | 81242 | 3 | 3.093 | 26266.4 |
337 | 2024-12-27 01:52:28 | tightness | 1 | 81242 | 3 | 5.266 | 15427.6 |
336 | 2024-12-17 23:03:18 | tightness | 4 | 165329 | 478 | 44.190 | 3741.3 |
335 | 2024-12-16 07:47:27 | tightness | 4 | 165329 | 478 | 85.706 | 1929.0 |
334 | 2024-12-15 21:55:37 | tightness | 4 | 165329 | 478 | 72.886 | 2268.3 |
333 | 2024-12-15 12:02:34 | tightness | 4 | 165329 | 478 | 79.333 | 2084.0 |
332 | 2024-12-14 15:40:52 | tightness | 4 | 165329 | 478 | 67.283 | 2457.2 |
331 | 2024-12-14 14:51:29 | tightness | 4 | 165329 | 478 | 34.393 | 4807.1 |
330 | 2024-12-10 17:03:13 | tightness | 1 | 81242 | 3 | 3.796 | 21402.0 |
329 | 2024-12-07 04:48:58 | tightness | 1 | 81242 | 3 | 5.406 | 15028.1 |
328 | 2024-11-26 15:25:43 | tightness | 1 | 81242 | 3 | 9.266 | 8767.8 |
327 | 2024-11-11 19:34:48 | tightness | 4 | 165329 | 478 | 63.100 | 2620.1 |
326 | 2024-11-10 21:09:53 | tightness | 4 | 165329 | 478 | 53.533 | 3088.4 |
325 | 2024-11-10 13:54:02 | tightness | 1 | 81242 | 3 | 1.843 | 44081.4 |
324 | 2024-11-08 04:32:14 | tightness | 1 | 81242 | 3 | 1.203 | 67532.8 |
323 | 2024-11-04 10:16:01 | tightness | 2 | 121436 | 16 | 12.280 | 9888.9 |
322 | 2024-11-01 21:26:38 | tightness | 2 | 121436 | 16 | 26.330 | 4612.1 |
321 | 2024-11-01 21:24:48 | tightness | 1 | 81242 | 3 | 3.080 | 26377.3 |
320 | 2024-10-31 21:51:16 | tightness | 3 | 148641 | 75 | 28.766 | 5167.2 |
319 | 2024-10-29 06:40:37 | tightness | 3 | 148641 | 75 | 31.266 | 4754.1 |
318 | 2024-10-25 11:19:10 | tightness | 3 | 148641 | 75 | 31.673 | 4693.0 |
317 | 2024-10-25 11:19:11 | tightness | 2 | 121436 | 16 | 17.813 | 6817.3 |
316 | 2024-10-25 11:17:29 | tightness | 1 | 81242 | 3 | 5.280 | 15386.7 |
315 | 2024-10-08 15:13:49 | tightness | 1 | 81242 | 3 | 1.236 | 65729.8 |
314 | 2024-10-01 21:48:46 | tightness | 2 | 121436 | 16 | 25.360 | 4788.5 |