History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"decimalized"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
410 | 2025-08-15 13:03:40 | decimalized | 1 | 49908 | 3 | 4.860 | 10269.1 |
409 | 2025-08-08 15:30:13 | decimalized | 1 | 49908 | 3 | 0.846 | 58992.9 |
408 | 2025-08-07 20:13:36 | decimalized | 1 | 49908 | 3 | 3.873 | 12886.1 |
407 | 2025-08-05 19:41:18 | decimalized | 3 | 121633 | 25 | 12.893 | 9434.0 |
406 | 2025-08-05 13:23:16 | decimalized | 1 | 49908 | 3 | 2.016 | 24756.0 |
405 | 2025-08-03 21:28:10 | decimalized | 4 | 148819 | 143 | 31.706 | 4693.7 |
404 | 2025-08-01 21:46:46 | decimalized | 3 | 121633 | 25 | 24.410 | 4982.9 |
403 | 2025-07-30 21:02:04 | decimalized | 4 | 148819 | 143 | 32.363 | 4598.4 |
402 | 2025-07-30 11:16:03 | decimalized | 4 | 148819 | 143 | 25.173 | 5911.8 |
401 | 2025-07-22 03:06:30 | decimalized | 1 | 49908 | 3 | 0.813 | 61387.5 |
400 | 2025-07-20 03:22:47 | decimalized | 1 | 49908 | 3 | 0.890 | 56076.4 |
399 | 2025-07-19 06:35:21 | decimalized | 1 | 49908 | 3 | 0.843 | 59202.8 |
398 | 2025-07-16 00:39:31 | decimalized | 4 | 148819 | 143 | 10.716 | 13887.6 |
397 | 2025-07-09 10:25:21 | decimalized | 2 | 86808 | 4 | 2.736 | 31728.1 |
396 | 2025-07-09 08:15:07 | decimalized | 3 | 121633 | 25 | 5.610 | 21681.5 |
395 | 2025-07-07 19:04:19 | decimalized | 1 | 49908 | 3 | 0.843 | 59202.8 |
394 | 2025-07-06 05:27:11 | decimalized | 1 | 49908 | 3 | 0.923 | 54071.5 |
393 | 2025-06-19 10:14:52 | decimalized | 1 | 49908 | 3 | 4.513 | 11058.7 |
392 | 2025-06-07 14:53:33 | decimalized | 1 | 49908 | 3 | 0.876 | 56972.6 |
391 | 2025-06-07 13:11:29 | decimalized | 1 | 49908 | 3 | 5.953 | 8383.7 |
390 | 2025-06-05 16:29:44 | decimalized | 4 | 148819 | 143 | 9.826 | 15145.4 |
389 | 2025-05-31 15:19:30 | decimalized | 1 | 49908 | 3 | 3.906 | 12777.3 |
388 | 2025-05-15 04:32:15 | decimalized | 4 | 148819 | 143 | 8.876 | 16766.4 |
387 | 2025-05-12 02:05:26 | decimalized | 3 | 121633 | 25 | 21.610 | 5628.6 |
386 | 2025-05-09 08:14:42 | decimalized | 2 | 86808 | 4 | 3.563 | 24363.7 |
385 | 2025-05-09 06:09:24 | decimalized | 3 | 121633 | 25 | 5.970 | 20374.0 |
384 | 2025-05-06 18:40:09 | decimalized | 4 | 148819 | 143 | 37.343 | 3985.2 |
383 | 2025-05-06 18:04:28 | decimalized | 1 | 49908 | 3 | 1.780 | 28038.2 |
382 | 2025-05-03 13:51:02 | decimalized | 1 | 49908 | 3 | 0.873 | 57168.4 |
381 | 2025-05-03 06:40:19 | decimalized | 3 | 121633 | 25 | 25.530 | 4764.3 |
380 | 2025-04-24 06:49:00 | decimalized | 3 | 121633 | 25 | 30.766 | 3953.5 |
379 | 2025-04-24 06:25:41 | decimalized | 2 | 86808 | 4 | 14.610 | 5941.7 |
378 | 2025-04-22 01:33:30 | decimalized | 1 | 49908 | 3 | 0.890 | 56076.4 |
377 | 2025-04-13 12:09:18 | decimalized | 1 | 49908 | 3 | 0.923 | 54071.5 |
376 | 2025-04-08 16:15:22 | decimalized | 1 | 49908 | 3 | 0.750 | 66544.0 |
375 | 2025-04-08 08:38:12 | decimalized | 4 | 148819 | 143 | 52.006 | 2861.6 |
374 | 2025-04-06 12:05:51 | decimalized | 1 | 49908 | 3 | 2.170 | 22999.1 |
373 | 2025-04-03 07:04:56 | decimalized | 2 | 86808 | 4 | 2.423 | 35826.7 |
372 | 2025-04-03 06:27:32 | decimalized | 3 | 121633 | 25 | 11.156 | 10902.9 |
371 | 2025-04-01 06:38:25 | decimalized | 1 | 49908 | 3 | 0.826 | 60421.3 |
370 | 2025-03-26 12:27:54 | decimalized | 4 | 148819 | 143 | 32.300 | 4607.4 |
369 | 2025-03-19 15:35:35 | decimalized | 4 | 148819 | 143 | 8.393 | 17731.3 |
368 | 2025-03-07 01:00:31 | decimalized | 1 | 49908 | 3 | 3.970 | 12571.3 |
367 | 2025-03-06 07:09:33 | decimalized | 1 | 49908 | 3 | 2.173 | 22967.3 |
366 | 2025-02-28 18:34:53 | decimalized | 1 | 49908 | 3 | 3.080 | 16203.9 |
365 | 2025-02-23 06:26:12 | decimalized | 1 | 49908 | 3 | 4.203 | 11874.4 |
364 | 2025-02-03 09:17:13 | decimalized | 1 | 49908 | 3 | 4.673 | 10680.1 |
363 | 2025-01-22 20:29:20 | decimalized | 2 | 86808 | 4 | 14.190 | 6117.5 |
362 | 2025-01-22 20:26:33 | decimalized | 1 | 49908 | 3 | 3.873 | 12886.1 |
361 | 2025-01-20 12:24:59 | decimalized | 4 | 148819 | 143 | 51.516 | 2888.8 |
360 | 2025-01-20 12:24:58 | decimalized | 3 | 121633 | 25 | 17.910 | 6791.3 |
359 | 2025-01-19 12:28:01 | decimalized | 4 | 148819 | 143 | 39.013 | 3814.6 |
358 | 2025-01-18 18:44:13 | decimalized | 1 | 49908 | 3 | 3.203 | 15581.6 |
357 | 2025-01-18 15:52:44 | decimalized | 3 | 121633 | 25 | 26.860 | 4528.4 |
356 | 2025-01-18 15:52:43 | decimalized | 3 | 121633 | 25 | 20.126 | 6043.6 |
355 | 2025-01-18 15:52:40 | decimalized | 2 | 86808 | 4 | 12.406 | 6997.3 |
354 | 2025-01-18 12:54:32 | decimalized | 3 | 121633 | 25 | 30.596 | 3975.5 |
353 | 2025-01-18 12:54:21 | decimalized | 4 | 148819 | 143 | 36.703 | 4054.7 |
352 | 2025-01-18 12:54:32 | decimalized | 2 | 86808 | 4 | 13.296 | 6528.9 |
351 | 2025-01-18 12:53:23 | decimalized | 1 | 49908 | 3 | 6.500 | 7678.2 |
350 | 2024-12-28 19:44:03 | decimalized | 1 | 49908 | 3 | 4.140 | 12055.1 |
349 | 2024-12-19 03:25:19 | decimalized | 3 | 121633 | 25 | 27.940 | 4353.4 |
348 | 2024-12-17 15:03:00 | decimalized | 3 | 121633 | 25 | 22.410 | 5427.6 |
347 | 2024-12-16 19:44:09 | decimalized | 1 | 49908 | 3 | 2.186 | 22830.7 |
346 | 2024-12-16 14:30:29 | decimalized | 4 | 148819 | 143 | 48.033 | 3098.3 |
345 | 2024-12-16 10:54:32 | decimalized | 3 | 121633 | 25 | 26.156 | 4650.3 |
344 | 2024-12-16 10:54:25 | decimalized | 2 | 86808 | 4 | 10.453 | 8304.6 |
343 | 2024-12-15 14:45:30 | decimalized | 4 | 148819 | 143 | 46.986 | 3167.3 |
342 | 2024-12-15 02:08:36 | decimalized | 4 | 148819 | 143 | 57.850 | 2572.5 |
341 | 2024-12-14 20:45:39 | decimalized | 4 | 148819 | 143 | 54.626 | 2724.3 |
340 | 2024-12-14 20:00:43 | decimalized | 4 | 148819 | 143 | 48.160 | 3090.1 |
339 | 2024-12-14 20:00:47 | decimalized | 3 | 121633 | 25 | 25.220 | 4822.9 |
338 | 2024-12-14 20:00:42 | decimalized | 2 | 86808 | 4 | 17.253 | 5031.5 |
337 | 2024-12-14 19:58:04 | decimalized | 1 | 49908 | 3 | 5.406 | 9232.0 |
336 | 2024-12-13 00:53:38 | decimalized | 1 | 49908 | 3 | 4.436 | 11250.7 |
335 | 2024-11-22 23:18:05 | decimalized | 1 | 49908 | 3 | 2.123 | 23508.2 |
334 | 2024-11-16 07:38:55 | decimalized | 1 | 49908 | 3 | 4.266 | 11699.0 |
333 | 2024-11-12 20:17:06 | decimalized | 3 | 121633 | 25 | 23.423 | 5192.9 |
332 | 2024-11-07 01:02:15 | decimalized | 4 | 148819 | 143 | 44.316 | 3358.1 |
331 | 2024-11-04 06:44:00 | decimalized | 3 | 121633 | 25 | 26.923 | 4517.8 |
330 | 2024-11-01 20:12:33 | decimalized | 4 | 148819 | 143 | 52.440 | 2837.9 |
329 | 2024-11-01 15:19:11 | decimalized | 2 | 86808 | 4 | 5.766 | 15055.2 |
328 | 2024-11-01 15:19:02 | decimalized | 3 | 121633 | 25 | 13.063 | 9311.3 |
327 | 2024-11-01 15:17:28 | decimalized | 1 | 49908 | 3 | 0.780 | 63984.6 |
326 | 2024-11-01 12:04:33 | decimalized | 3 | 121633 | 25 | 35.740 | 3403.3 |
325 | 2024-11-01 12:04:17 | decimalized | 4 | 148819 | 143 | 50.406 | 2952.4 |
324 | 2024-11-01 12:04:21 | decimalized | 2 | 86808 | 4 | 12.373 | 7015.9 |
323 | 2024-10-29 11:41:13 | decimalized | 1 | 49908 | 3 | 6.360 | 7847.2 |
322 | 2024-10-25 14:37:35 | decimalized | 1 | 49908 | 3 | 1.906 | 26184.7 |
321 | 2024-10-24 21:46:21 | decimalized | 1 | 49908 | 3 | 5.280 | 9452.3 |
320 | 2024-10-22 17:48:31 | decimalized | 1 | 49908 | 3 | 3.906 | 12777.3 |
319 | 2024-10-14 15:11:28 | decimalized | 1 | 49908 | 3 | 2.173 | 22967.3 |
318 | 2024-10-07 10:37:37 | decimalized | 3 | 121633 | 25 | 27.876 | 4363.4 |
317 | 2024-09-27 17:23:32 | decimalized | 1 | 49908 | 3 | 4.156 | 12008.7 |
316 | 2024-09-26 17:37:14 | decimalized | 3 | 121633 | 25 | 50.406 | 2413.1 |
315 | 2024-09-23 01:10:39 | decimalized | 3 | 121633 | 25 | 38.643 | 3147.6 |
314 | 2024-09-18 13:02:20 | decimalized | 3 | 121633 | 25 | 55.173 | 2204.6 |
313 | 2024-09-18 05:28:07 | decimalized | 3 | 121633 | 25 | 41.673 | 2918.7 |
312 | 2024-09-18 05:28:07 | decimalized | 2 | 86808 | 4 | 19.766 | 4391.8 |
311 | 2024-09-18 05:27:14 | decimalized | 1 | 49908 | 3 | 3.453 | 14453.5 |