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 |
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 |
299 | 2025-01-30 14:00:50 | typicalness | 3 | 121633 | 8 | 15.796 | 7700.2 |
298 | 2025-01-30 14:00:04 | typicalness | 1 | 49908 | 1 | 2.780 | 17952.5 |
297 | 2025-01-23 15:32:38 | typicalness | 4 | 148819 | 31 | 49.100 | 3030.9 |
296 | 2025-01-23 13:22:21 | typicalness | 4 | 148819 | 31 | 25.080 | 5933.8 |
295 | 2025-01-21 08:40:22 | typicalness | 4 | 148819 | 31 | 64.736 | 2298.9 |
294 | 2025-01-21 00:57:20 | typicalness | 4 | 148819 | 31 | 46.203 | 3221.0 |
293 | 2025-01-14 09:13:38 | typicalness | 1 | 49908 | 1 | 3.076 | 16225.0 |
292 | 2025-01-02 08:59:41 | typicalness | 5 | 164607 | 241 | 65.656 | 2507.1 |
291 | 2025-01-02 08:59:31 | typicalness | 4 | 148819 | 31 | 61.093 | 2435.9 |
290 | 2025-01-02 04:38:18 | typicalness | 5 | 164607 | 241 | 71.880 | 2290.0 |
289 | 2024-12-31 18:41:36 | typicalness | 5 | 164607 | 241 | 107.943 | 1524.9 |
288 | 2024-12-31 18:41:19 | typicalness | 3 | 121633 | 8 | 24.953 | 4874.5 |
287 | 2024-12-31 06:38:38 | typicalness | 5 | 164607 | 241 | 72.190 | 2280.2 |
286 | 2024-12-31 06:38:47 | typicalness | 2 | 86808 | 3 | 12.783 | 6790.9 |
285 | 2024-12-31 06:35:06 | typicalness | 1 | 49908 | 1 | 2.080 | 23994.2 |
284 | 2024-12-30 16:41:48 | typicalness | 4 | 148819 | 31 | 14.453 | 10296.8 |
283 | 2024-12-23 09:09:39 | typicalness | 3 | 121633 | 8 | 24.203 | 5025.5 |
282 | 2024-12-22 03:35:24 | typicalness | 4 | 148819 | 31 | 46.673 | 3188.5 |
281 | 2024-12-21 17:35:48 | typicalness | 3 | 121633 | 8 | 22.423 | 5424.5 |
280 | 2024-12-20 10:09:11 | typicalness | 4 | 148819 | 31 | 64.766 | 2297.8 |
279 | 2024-12-20 10:09:13 | typicalness | 3 | 121633 | 8 | 33.593 | 3620.8 |
278 | 2024-12-20 10:09:13 | typicalness | 2 | 86808 | 3 | 11.516 | 7538.0 |
277 | 2024-12-20 10:06:55 | typicalness | 1 | 49908 | 1 | 3.156 | 15813.7 |
276 | 2024-12-04 11:40:16 | typicalness | 1 | 49908 | 1 | 3.750 | 13308.8 |
275 | 2024-11-22 19:49:24 | typicalness | 1 | 49908 | 1 | 2.576 | 19374.2 |
274 | 2024-11-13 02:16:40 | typicalness | 3 | 121633 | 8 | 22.563 | 5390.8 |
273 | 2024-11-07 16:08:12 | typicalness | 4 | 148819 | 31 | 45.360 | 3280.8 |