History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanoseconds"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
419 | 2025-09-08 04:09:28 | nanoseconds | 1 | 49908 | 2 | 0.766 | 65154.0 |
418 | 2025-09-01 23:27:59 | nanoseconds | 2 | 86808 | 2 | 2.203 | 39404.4 |
417 | 2025-08-28 01:03:28 | nanoseconds | 1 | 49908 | 2 | 0.890 | 56076.4 |
416 | 2025-08-09 14:19:38 | nanoseconds | 1 | 49908 | 2 | 4.343 | 11491.6 |
415 | 2025-07-30 07:47:29 | nanoseconds | 3 | 121633 | 3 | 15.686 | 7754.2 |
414 | 2025-07-26 07:10:03 | nanoseconds | 1 | 49908 | 2 | 1.890 | 26406.3 |
413 | 2025-07-24 13:27:13 | nanoseconds | 1 | 49908 | 2 | 1.513 | 32986.1 |
412 | 2025-07-24 12:09:50 | nanoseconds | 1 | 49908 | 2 | 2.000 | 24954.0 |
411 | 2025-07-10 17:04:13 | nanoseconds | 1 | 49908 | 2 | 3.673 | 13587.8 |
410 | 2025-06-12 02:35:14 | nanoseconds | 1 | 49908 | 2 | 4.203 | 11874.4 |
409 | 2025-05-26 09:28:13 | nanoseconds | 1 | 49908 | 2 | 4.686 | 10650.4 |
408 | 2025-05-16 17:44:47 | nanoseconds | 1 | 49908 | 2 | 2.000 | 24954.0 |
407 | 2025-05-14 23:07:20 | nanoseconds | 1 | 49908 | 2 | 0.826 | 60421.3 |
406 | 2025-04-23 07:15:35 | nanoseconds | 1 | 49908 | 2 | 4.466 | 11175.1 |
405 | 2025-03-12 21:38:35 | nanoseconds | 1 | 49908 | 2 | 3.890 | 12829.8 |
404 | 2025-03-06 14:00:21 | nanoseconds | 4 | 148819 | 13 | 45.423 | 3276.3 |
403 | 2025-03-06 14:00:32 | nanoseconds | 3 | 121633 | 3 | 23.846 | 5100.8 |
402 | 2025-03-06 14:00:32 | nanoseconds | 2 | 86808 | 2 | 12.923 | 6717.3 |
401 | 2025-03-06 13:58:55 | nanoseconds | 1 | 49908 | 2 | 3.250 | 15356.3 |
400 | 2025-03-05 16:11:46 | nanoseconds | 4 | 148819 | 13 | 49.940 | 2980.0 |
399 | 2025-03-04 15:05:25 | nanoseconds | 1 | 49908 | 2 | 1.766 | 28260.5 |
398 | 2025-02-21 22:08:02 | nanoseconds | 4 | 148819 | 13 | 57.783 | 2575.5 |
397 | 2025-02-21 22:08:03 | nanoseconds | 4 | 148819 | 13 | 36.986 | 4023.7 |
396 | 2025-02-21 22:07:44 | nanoseconds | 3 | 121633 | 3 | 25.466 | 4776.3 |
395 | 2025-02-21 22:07:32 | nanoseconds | 2 | 86808 | 2 | 9.186 | 9450.0 |
394 | 2025-02-21 00:23:26 | nanoseconds | 4 | 148819 | 13 | 47.846 | 3110.4 |
393 | 2025-02-14 13:03:14 | nanoseconds | 3 | 121633 | 3 | 26.173 | 4647.3 |
392 | 2025-02-09 03:21:26 | nanoseconds | 1 | 49908 | 2 | 5.796 | 8610.8 |
391 | 2025-02-03 15:38:57 | nanoseconds | 1 | 49908 | 2 | 4.656 | 10719.1 |
390 | 2025-02-03 10:46:09 | nanoseconds | 3 | 121633 | 3 | 33.156 | 3668.5 |
389 | 2025-02-03 10:46:16 | nanoseconds | 2 | 86808 | 2 | 18.393 | 4719.6 |
388 | 2025-02-03 10:43:17 | nanoseconds | 1 | 49908 | 2 | 3.030 | 16471.3 |
387 | 2025-01-31 19:32:12 | nanoseconds | 3 | 121633 | 3 | 27.753 | 4382.7 |
386 | 2025-01-31 09:06:34 | nanoseconds | 4 | 148819 | 13 | 56.786 | 2620.7 |
385 | 2025-01-29 07:40:46 | nanoseconds | 2 | 86808 | 2 | 9.530 | 9108.9 |
384 | 2025-01-29 07:39:34 | nanoseconds | 4 | 148819 | 13 | 26.453 | 5625.8 |
383 | 2025-01-29 07:39:03 | nanoseconds | 1 | 49908 | 2 | 1.983 | 25167.9 |
382 | 2025-01-20 19:39:17 | nanoseconds | 3 | 121633 | 3 | 25.160 | 4834.4 |
381 | 2025-01-04 11:34:33 | nanoseconds | 3 | 121633 | 3 | 40.330 | 3015.9 |
380 | 2025-01-04 11:34:28 | nanoseconds | 2 | 86808 | 2 | 12.233 | 7096.2 |
379 | 2025-01-04 11:32:11 | nanoseconds | 1 | 49908 | 2 | 3.970 | 12571.3 |
378 | 2025-01-02 01:17:27 | nanoseconds | 3 | 121633 | 3 | 23.406 | 5196.7 |
377 | 2025-01-02 01:17:35 | nanoseconds | 2 | 86808 | 2 | 11.580 | 7496.4 |
376 | 2025-01-02 01:15:02 | nanoseconds | 1 | 49908 | 2 | 3.983 | 12530.3 |
375 | 2024-12-31 07:00:02 | nanoseconds | 3 | 121633 | 3 | 41.300 | 2945.1 |
374 | 2024-12-30 12:57:44 | nanoseconds | 3 | 121633 | 3 | 30.986 | 3925.4 |
373 | 2024-12-30 12:54:34 | nanoseconds | 4 | 148819 | 13 | 64.373 | 2311.8 |
372 | 2024-12-24 02:35:09 | nanoseconds | 4 | 148819 | 13 | 57.190 | 2602.2 |
371 | 2024-12-24 02:35:03 | nanoseconds | 4 | 148819 | 13 | 49.296 | 3018.9 |
370 | 2024-12-24 02:35:34 | nanoseconds | 3 | 121633 | 3 | 18.046 | 6740.2 |
369 | 2024-12-24 02:35:28 | nanoseconds | 2 | 86808 | 2 | 11.780 | 7369.1 |
368 | 2024-12-19 07:25:53 | nanoseconds | 4 | 148819 | 13 | 66.363 | 2242.5 |
367 | 2024-12-16 13:27:25 | nanoseconds | 4 | 148819 | 13 | 46.486 | 3201.4 |
366 | 2024-12-11 05:13:32 | nanoseconds | 1 | 49908 | 2 | 3.656 | 13651.0 |
365 | 2024-11-30 10:58:14 | nanoseconds | 4 | 148819 | 13 | 36.736 | 4051.0 |
364 | 2024-11-23 07:33:33 | nanoseconds | 3 | 121633 | 3 | 25.843 | 4706.6 |
363 | 2024-11-23 07:32:51 | nanoseconds | 4 | 148819 | 13 | 46.970 | 3168.4 |
362 | 2024-11-23 07:33:24 | nanoseconds | 2 | 86808 | 2 | 11.766 | 7377.9 |
361 | 2024-11-23 07:32:31 | nanoseconds | 4 | 148819 | 13 | 60.100 | 2476.2 |
360 | 2024-11-23 07:31:31 | nanoseconds | 1 | 49908 | 2 | 6.220 | 8023.8 |
359 | 2024-11-23 05:16:44 | nanoseconds | 4 | 148819 | 13 | 38.983 | 3817.5 |
358 | 2024-11-23 05:16:49 | nanoseconds | 3 | 121633 | 3 | 27.363 | 4445.2 |
357 | 2024-11-23 05:16:49 | nanoseconds | 2 | 86808 | 2 | 12.126 | 7158.8 |
356 | 2024-11-23 05:12:46 | nanoseconds | 1 | 49908 | 2 | 1.500 | 33272.0 |
355 | 2024-11-22 21:23:40 | nanoseconds | 4 | 148819 | 13 | 51.550 | 2886.9 |
354 | 2024-11-20 00:44:24 | nanoseconds | 4 | 148819 | 13 | 61.723 | 2411.1 |
353 | 2024-11-13 06:15:02 | nanoseconds | 4 | 148819 | 13 | 48.440 | 3072.2 |
352 | 2024-11-04 12:25:04 | nanoseconds | 4 | 148819 | 13 | 41.983 | 3544.7 |
351 | 2024-11-04 12:25:11 | nanoseconds | 3 | 121633 | 3 | 13.796 | 8816.5 |
350 | 2024-11-04 12:25:07 | nanoseconds | 2 | 86808 | 2 | 5.483 | 15832.2 |
349 | 2024-11-04 12:24:45 | nanoseconds | 1 | 49908 | 2 | 0.826 | 60421.3 |
348 | 2024-10-23 11:27:29 | nanoseconds | 4 | 148819 | 13 | 47.393 | 3140.1 |
347 | 2024-10-18 20:40:55 | nanoseconds | 3 | 121633 | 3 | 26.086 | 4662.8 |
346 | 2024-10-18 20:41:04 | nanoseconds | 2 | 86808 | 2 | 13.126 | 6613.4 |
345 | 2024-10-18 20:40:11 | nanoseconds | 4 | 148819 | 13 | 49.936 | 2980.2 |
344 | 2024-10-18 20:39:40 | nanoseconds | 4 | 148819 | 13 | 54.560 | 2727.6 |
343 | 2024-10-18 20:36:41 | nanoseconds | 1 | 49908 | 2 | 0.923 | 54071.5 |
342 | 2024-10-17 03:38:28 | nanoseconds | 4 | 148819 | 13 | 56.926 | 2614.3 |
341 | 2024-10-16 07:29:09 | nanoseconds | 1 | 49908 | 2 | 1.986 | 25129.9 |
340 | 2024-10-13 13:54:46 | nanoseconds | 1 | 49908 | 2 | 3.483 | 14329.0 |
339 | 2024-10-12 21:16:48 | nanoseconds | 4 | 148819 | 13 | 65.990 | 2255.2 |
338 | 2024-10-12 21:16:56 | nanoseconds | 4 | 148819 | 13 | 51.050 | 2915.2 |
337 | 2024-10-10 08:32:22 | nanoseconds | 4 | 148819 | 13 | 37.516 | 3966.8 |
336 | 2024-10-01 23:11:34 | nanoseconds | 3 | 121633 | 3 | 29.283 | 4153.7 |
335 | 2024-10-01 23:11:39 | nanoseconds | 2 | 86808 | 2 | 17.376 | 4995.9 |
334 | 2024-10-01 23:10:50 | nanoseconds | 4 | 148819 | 13 | 57.880 | 2571.2 |
333 | 2024-10-01 23:08:34 | nanoseconds | 1 | 49908 | 2 | 6.296 | 7926.9 |
332 | 2024-09-16 14:02:23 | nanoseconds | 3 | 121633 | 3 | 21.360 | 5694.4 |
331 | 2024-09-14 06:30:08 | nanoseconds | 3 | 121633 | 3 | 29.720 | 4092.6 |
330 | 2024-09-14 03:31:49 | nanoseconds | 3 | 121633 | 3 | 32.860 | 3701.6 |
329 | 2024-09-13 15:54:19 | nanoseconds | 2 | 86808 | 2 | 20.410 | 4253.2 |
328 | 2024-09-13 15:50:40 | nanoseconds | 1 | 49908 | 2 | 8.153 | 6121.4 |
327 | 2024-09-12 03:45:09 | nanoseconds | 3 | 121633 | 3 | 52.473 | 2318.0 |
326 | 2024-09-12 03:42:38 | nanoseconds | 3 | 121633 | 3 | 32.690 | 3720.8 |
325 | 2024-09-11 06:32:04 | nanoseconds | 3 | 121633 | 3 | 52.880 | 2300.2 |
324 | 2024-09-09 09:47:25 | nanoseconds | 5 | 164607 | 81 | 135.143 | 1218.0 |
323 | 2024-09-09 09:47:25 | nanoseconds | 4 | 148819 | 13 | 63.563 | 2341.3 |
322 | 2024-09-09 03:17:10 | nanoseconds | 1 | 49908 | 2 | 8.360 | 5969.9 |
321 | 2024-09-07 16:29:41 | nanoseconds | 1 | 49908 | 2 | 9.703 | 5143.6 |
320 | 2024-08-22 17:52:45 | nanoseconds | 3 | 121633 | 3 | 36.626 | 3320.9 |