History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"typicalness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
399 | 2025-08-25 20:01:42 | typicalness | 5 | 164607 | 241 | 13.343 | 12336.6 |
398 | 2025-08-21 15:27:58 | typicalness | 5 | 164607 | 241 | 48.550 | 3390.5 |
397 | 2025-08-21 04:18:39 | typicalness | 5 | 164607 | 241 | 93.240 | 1765.4 |
396 | 2025-08-21 03:37:58 | typicalness | 5 | 164607 | 241 | 62.643 | 2627.7 |
395 | 2025-08-20 09:32:14 | typicalness | 5 | 164607 | 241 | 13.436 | 12251.2 |
394 | 2025-08-18 14:50:46 | typicalness | 5 | 164607 | 241 | 14.013 | 11746.7 |
393 | 2025-08-18 01:54:24 | typicalness | 3 | 121633 | 8 | 24.923 | 4880.4 |
392 | 2025-08-17 22:24:33 | typicalness | 2 | 86808 | 3 | 2.330 | 37256.7 |
391 | 2025-08-17 07:11:31 | typicalness | 2 | 86808 | 3 | 7.610 | 11407.1 |
390 | 2025-08-15 19:56:59 | typicalness | 1 | 49908 | 1 | 0.750 | 66544.0 |
389 | 2025-08-13 16:10:15 | typicalness | 4 | 148819 | 31 | 24.423 | 6093.4 |
388 | 2025-08-10 19:20:08 | typicalness | 4 | 148819 | 31 | 23.610 | 6303.2 |
387 | 2025-08-10 09:05:41 | typicalness | 1 | 49908 | 1 | 2.156 | 23148.4 |
386 | 2025-08-09 14:41:26 | typicalness | 1 | 49908 | 1 | 2.783 | 17933.2 |
385 | 2025-08-09 01:37:44 | typicalness | 1 | 49908 | 1 | 3.970 | 12571.3 |
384 | 2025-08-07 08:23:28 | typicalness | 4 | 148819 | 31 | 39.580 | 3760.0 |
383 | 2025-08-02 19:09:45 | typicalness | 4 | 148819 | 31 | 23.410 | 6357.1 |
382 | 2025-07-30 14:33:19 | typicalness | 4 | 148819 | 31 | 52.800 | 2818.5 |
381 | 2025-07-24 03:21:41 | typicalness | 1 | 49908 | 1 | 3.626 | 13763.9 |
380 | 2025-07-23 11:10:27 | typicalness | 1 | 49908 | 1 | 2.280 | 21889.5 |
379 | 2025-07-23 08:48:34 | typicalness | 1 | 49908 | 1 | 4.406 | 11327.3 |
378 | 2025-07-22 20:43:35 | typicalness | 1 | 49908 | 1 | 1.716 | 29083.9 |
377 | 2025-07-22 16:56:52 | typicalness | 2 | 86808 | 3 | 6.766 | 12830.0 |
376 | 2025-07-16 17:45:13 | typicalness | 4 | 148819 | 31 | 10.593 | 14048.8 |
375 | 2025-07-16 02:45:48 | typicalness | 4 | 148819 | 31 | 15.860 | 9383.3 |
374 | 2025-07-13 11:44:53 | typicalness | 4 | 148819 | 31 | 39.440 | 3773.3 |
373 | 2025-07-12 00:30:22 | typicalness | 4 | 148819 | 31 | 42.686 | 3486.4 |
372 | 2025-07-05 17:12:45 | typicalness | 5 | 164607 | 241 | 66.206 | 2486.3 |
371 | 2025-07-04 09:17:13 | typicalness | 5 | 164607 | 241 | 80.643 | 2041.2 |
370 | 2025-07-03 23:51:09 | typicalness | 5 | 164607 | 241 | 60.940 | 2701.1 |
369 | 2025-07-02 21:00:18 | typicalness | 5 | 164607 | 241 | 67.066 | 2454.4 |
368 | 2025-06-27 15:18:55 | typicalness | 1 | 49908 | 1 | 3.736 | 13358.7 |
367 | 2025-06-27 14:17:31 | typicalness | 1 | 49908 | 1 | 3.813 | 13088.9 |
366 | 2025-06-27 09:59:17 | typicalness | 5 | 164607 | 241 | 65.443 | 2515.3 |
365 | 2025-06-22 09:08:42 | typicalness | 3 | 121633 | 8 | 24.000 | 5068.0 |
364 | 2025-06-19 04:07:23 | typicalness | 5 | 164607 | 241 | 78.220 | 2104.4 |
363 | 2025-06-17 08:25:03 | typicalness | 5 | 164607 | 241 | 12.610 | 13053.7 |
362 | 2025-06-16 06:23:53 | typicalness | 1 | 49908 | 1 | 3.970 | 12571.3 |
361 | 2025-06-15 07:49:09 | typicalness | 2 | 86808 | 3 | 2.283 | 38023.7 |
360 | 2025-06-15 05:51:46 | typicalness | 3 | 121633 | 8 | 6.686 | 18192.2 |
359 | 2025-06-14 08:15:24 | typicalness | 1 | 49908 | 1 | 5.243 | 9519.0 |
358 | 2025-06-13 19:14:13 | typicalness | 1 | 49908 | 1 | 0.856 | 58303.7 |
357 | 2025-06-13 17:38:38 | typicalness | 4 | 148819 | 31 | 14.923 | 9972.5 |
356 | 2025-06-13 05:36:06 | typicalness | 4 | 148819 | 31 | 56.563 | 2631.0 |
355 | 2025-06-11 22:40:10 | typicalness | 1 | 49908 | 1 | 4.233 | 11790.2 |
354 | 2025-06-10 06:54:37 | typicalness | 4 | 148819 | 31 | 45.143 | 3296.6 |
353 | 2025-06-09 01:29:18 | typicalness | 4 | 148819 | 31 | 8.793 | 16924.7 |
352 | 2025-06-03 08:00:19 | typicalness | 4 | 148819 | 31 | 47.013 | 3165.5 |
351 | 2025-06-02 11:01:11 | typicalness | 4 | 148819 | 31 | 44.580 | 3338.2 |
350 | 2025-05-31 16:39:51 | typicalness | 1 | 49908 | 1 | 2.793 | 17869.0 |
349 | 2025-05-31 05:29:04 | typicalness | 4 | 148819 | 31 | 41.220 | 3610.4 |
348 | 2025-05-31 00:17:38 | typicalness | 5 | 164607 | 241 | 75.143 | 2190.6 |
347 | 2025-05-29 10:39:23 | typicalness | 2 | 86808 | 3 | 8.406 | 10326.9 |
346 | 2025-05-29 07:32:03 | typicalness | 3 | 121633 | 8 | 15.516 | 7839.2 |
345 | 2025-05-26 14:28:22 | typicalness | 1 | 49908 | 1 | 3.280 | 15215.9 |
344 | 2025-05-25 05:03:03 | typicalness | 1 | 49908 | 1 | 1.686 | 29601.4 |
343 | 2025-05-19 10:41:24 | typicalness | 4 | 148819 | 31 | 9.860 | 15093.2 |
342 | 2025-05-13 05:35:02 | typicalness | 4 | 148819 | 31 | 40.396 | 3684.0 |
341 | 2025-05-11 09:38:00 | typicalness | 4 | 148819 | 31 | 9.296 | 16008.9 |
340 | 2025-05-10 04:55:04 | typicalness | 1 | 49908 | 1 | 1.720 | 29016.3 |
339 | 2025-05-07 21:50:38 | typicalness | 3 | 121633 | 8 | 15.470 | 7862.5 |
338 | 2025-05-03 14:55:39 | typicalness | 3 | 121633 | 8 | 40.440 | 3007.7 |
337 | 2025-05-03 06:07:58 | typicalness | 4 | 148819 | 31 | 60.233 | 2470.7 |
336 | 2025-05-03 01:34:45 | typicalness | 2 | 86808 | 3 | 10.216 | 8497.3 |
335 | 2025-05-02 06:44:58 | typicalness | 1 | 49908 | 1 | 5.470 | 9123.9 |
334 | 2025-04-21 11:07:17 | typicalness | 5 | 164607 | 241 | 76.566 | 2149.9 |
333 | 2025-04-14 18:35:31 | typicalness | 5 | 164607 | 241 | 58.020 | 2837.1 |
332 | 2025-04-12 07:38:41 | typicalness | 5 | 164607 | 241 | 78.253 | 2103.5 |
331 | 2025-04-12 03:54:19 | typicalness | 5 | 164607 | 241 | 69.286 | 2375.8 |
330 | 2025-04-11 15:59:52 | typicalness | 5 | 164607 | 241 | 74.966 | 2195.8 |
329 | 2025-04-11 14:18:34 | typicalness | 1 | 49908 | 1 | 6.673 | 7479.1 |
328 | 2025-04-09 22:49:10 | typicalness | 5 | 164607 | 241 | 23.080 | 7132.0 |
327 | 2025-04-09 17:45:27 | typicalness | 3 | 121633 | 8 | 37.110 | 3277.6 |
326 | 2025-04-09 17:44:10 | typicalness | 2 | 86808 | 3 | 5.970 | 14540.7 |
325 | 2025-04-08 05:40:20 | typicalness | 4 | 148819 | 31 | 21.533 | 6911.2 |
324 | 2025-04-07 22:49:59 | typicalness | 1 | 49908 | 1 | 2.263 | 22053.9 |
323 | 2025-04-07 07:08:14 | typicalness | 4 | 148819 | 31 | 24.063 | 6184.6 |
322 | 2025-04-05 16:43:04 | typicalness | 4 | 148819 | 31 | 9.966 | 14932.7 |
321 | 2025-04-05 06:57:34 | typicalness | 2 | 86808 | 3 | 10.983 | 7903.9 |
320 | 2025-04-05 05:37:15 | typicalness | 3 | 121633 | 8 | 5.173 | 23513.0 |
319 | 2025-04-05 04:47:03 | typicalness | 3 | 121633 | 8 | 5.156 | 23590.6 |
318 | 2025-04-03 18:56:51 | typicalness | 1 | 49908 | 1 | 1.923 | 25953.2 |
317 | 2025-03-29 06:23:14 | typicalness | 1 | 49908 | 1 | 5.016 | 9949.8 |
316 | 2025-03-21 07:45:28 | typicalness | 1 | 49908 | 1 | 5.343 | 9340.8 |
315 | 2025-03-05 00:41:39 | typicalness | 4 | 148819 | 31 | 50.753 | 2932.2 |
314 | 2025-03-04 01:51:37 | typicalness | 1 | 49908 | 1 | 4.936 | 10111.0 |
313 | 2025-02-27 13:56:57 | typicalness | 4 | 148819 | 31 | 49.523 | 3005.0 |
312 | 2025-02-20 20:22:57 | typicalness | 4 | 148819 | 31 | 49.660 | 2996.8 |
311 | 2025-02-16 21:22:37 | typicalness | 1 | 49908 | 1 | 3.936 | 12679.9 |
310 | 2025-02-11 11:28:03 | typicalness | 4 | 148819 | 31 | 31.706 | 4693.7 |
309 | 2025-02-11 11:27:57 | typicalness | 2 | 86808 | 3 | 5.590 | 15529.2 |
308 | 2025-02-10 23:41:58 | typicalness | 3 | 121633 | 8 | 28.173 | 4317.4 |
307 | 2025-02-09 19:22:49 | typicalness | 4 | 148819 | 31 | 34.766 | 4280.6 |
306 | 2025-02-07 05:43:27 | typicalness | 1 | 49908 | 1 | 0.813 | 61387.5 |
305 | 2025-02-03 08:41:29 | typicalness | 4 | 148819 | 31 | 62.563 | 2378.7 |
304 | 2025-02-02 05:03:33 | typicalness | 4 | 148819 | 31 | 36.393 | 4089.2 |
303 | 2025-02-02 05:03:35 | typicalness | 3 | 121633 | 8 | 23.986 | 5071.0 |
302 | 2025-02-02 05:03:36 | typicalness | 2 | 86808 | 3 | 11.410 | 7608.1 |
301 | 2025-02-02 05:03:21 | typicalness | 1 | 49908 | 1 | 2.500 | 19963.2 |
300 | 2025-01-30 14:01:00 | typicalness | 2 | 86808 | 3 | 9.233 | 9401.9 |