History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"econometric"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
409 | 2025-08-30 12:57:22 | econometric | 3 | 121633 | 22 | 4.593 | 26482.3 |
408 | 2025-08-27 14:29:36 | econometric | 1 | 49908 | 2 | 1.640 | 30431.7 |
407 | 2025-08-26 00:29:42 | econometric | 1 | 49908 | 2 | 0.843 | 59202.8 |
406 | 2025-08-25 01:59:50 | econometric | 4 | 148819 | 65 | 47.830 | 3111.4 |
405 | 2025-08-17 17:16:56 | econometric | 4 | 148819 | 65 | 26.690 | 5575.8 |
404 | 2025-08-17 02:34:10 | econometric | 4 | 148819 | 65 | 23.736 | 6269.8 |
403 | 2025-08-17 02:10:02 | econometric | 3 | 121633 | 22 | 13.220 | 9200.7 |
402 | 2025-08-16 22:57:12 | econometric | 3 | 121633 | 22 | 15.953 | 7624.5 |
401 | 2025-08-16 22:57:11 | econometric | 3 | 121633 | 22 | 13.093 | 9289.9 |
400 | 2025-08-15 16:03:48 | econometric | 4 | 148819 | 65 | 39.800 | 3739.2 |
399 | 2025-08-15 11:47:47 | econometric | 2 | 86808 | 4 | 10.953 | 7925.5 |
398 | 2025-08-15 10:35:27 | econometric | 4 | 148819 | 65 | 47.766 | 3115.6 |
397 | 2025-08-15 05:46:49 | econometric | 3 | 121633 | 22 | 26.156 | 4650.3 |
396 | 2025-08-14 01:24:43 | econometric | 1 | 49908 | 2 | 0.860 | 58032.6 |
395 | 2025-07-24 20:44:36 | econometric | 1 | 49908 | 2 | 1.936 | 25778.9 |
394 | 2025-07-24 09:46:22 | econometric | 1 | 49908 | 2 | 1.956 | 25515.3 |
393 | 2025-07-13 11:04:59 | econometric | 1 | 49908 | 2 | 2.156 | 23148.4 |
392 | 2025-07-10 05:19:14 | econometric | 1 | 49908 | 2 | 3.563 | 14007.3 |
391 | 2025-07-08 11:34:17 | econometric | 4 | 148819 | 65 | 36.063 | 4126.6 |
390 | 2025-07-08 01:07:21 | econometric | 4 | 148819 | 65 | 38.566 | 3858.8 |
389 | 2025-07-07 07:23:24 | econometric | 1 | 49908 | 2 | 3.966 | 12584.0 |
388 | 2025-06-26 22:33:30 | econometric | 4 | 148819 | 65 | 46.580 | 3194.9 |
387 | 2025-06-26 18:52:05 | econometric | 4 | 148819 | 65 | 52.363 | 2842.1 |
386 | 2025-06-24 19:32:39 | econometric | 4 | 148819 | 65 | 10.030 | 14837.4 |
385 | 2025-06-04 01:05:27 | econometric | 1 | 49908 | 2 | 1.593 | 31329.6 |
384 | 2025-06-02 02:05:38 | econometric | 3 | 121633 | 22 | 21.283 | 5715.0 |
383 | 2025-05-29 08:06:47 | econometric | 1 | 49908 | 2 | 1.970 | 25334.0 |
382 | 2025-05-20 02:37:09 | econometric | 3 | 121633 | 22 | 25.033 | 4858.9 |
381 | 2025-05-16 00:57:36 | econometric | 3 | 121633 | 22 | 19.656 | 6188.1 |
380 | 2025-05-10 02:29:16 | econometric | 1 | 49908 | 2 | 3.923 | 12721.9 |
379 | 2025-05-06 14:25:24 | econometric | 1 | 49908 | 2 | 3.923 | 12721.9 |
378 | 2025-05-04 01:26:44 | econometric | 1 | 49908 | 2 | 4.270 | 11688.1 |
377 | 2025-05-01 07:24:58 | econometric | 4 | 148819 | 65 | 38.410 | 3874.5 |
376 | 2025-04-28 07:57:55 | econometric | 1 | 49908 | 2 | 3.860 | 12929.5 |
375 | 2025-04-28 07:02:01 | econometric | 1 | 49908 | 2 | 3.236 | 15422.7 |
374 | 2025-04-25 19:20:36 | econometric | 4 | 148819 | 65 | 9.376 | 15872.3 |
373 | 2025-04-14 07:13:56 | econometric | 1 | 49908 | 2 | 3.500 | 14259.4 |
372 | 2025-04-07 02:50:51 | econometric | 1 | 49908 | 2 | 3.826 | 13044.4 |
371 | 2025-03-29 02:35:48 | econometric | 1 | 49908 | 2 | 4.470 | 11165.1 |
370 | 2025-03-28 08:38:17 | econometric | 2 | 86808 | 4 | 11.856 | 7321.9 |
369 | 2025-03-26 15:20:42 | econometric | 3 | 121633 | 22 | 18.046 | 6740.2 |
368 | 2025-03-26 11:06:31 | econometric | 3 | 121633 | 22 | 40.750 | 2984.9 |
367 | 2025-03-26 07:47:17 | econometric | 2 | 86808 | 4 | 5.766 | 15055.2 |
366 | 2025-03-26 04:26:52 | econometric | 3 | 121633 | 22 | 29.376 | 4140.6 |
365 | 2025-03-25 00:52:54 | econometric | 1 | 49908 | 2 | 4.186 | 11922.6 |
364 | 2025-03-24 17:03:09 | econometric | 1 | 49908 | 2 | 4.016 | 12427.3 |
363 | 2025-03-22 23:38:28 | econometric | 4 | 148819 | 65 | 45.813 | 3248.4 |
362 | 2025-03-21 02:45:01 | econometric | 3 | 121633 | 22 | 25.010 | 4863.4 |
361 | 2025-03-20 06:54:38 | econometric | 1 | 49908 | 2 | 3.673 | 13587.8 |
360 | 2025-03-17 13:44:17 | econometric | 4 | 148819 | 65 | 43.266 | 3439.6 |
359 | 2025-03-17 13:44:18 | econometric | 4 | 148819 | 65 | 24.516 | 6070.3 |
358 | 2025-03-17 13:44:15 | econometric | 3 | 121633 | 22 | 24.813 | 4902.0 |
357 | 2025-03-17 06:12:25 | econometric | 4 | 148819 | 65 | 49.173 | 3026.4 |
356 | 2025-03-15 12:53:28 | econometric | 1 | 49908 | 2 | 2.436 | 20487.7 |
355 | 2025-03-09 13:13:10 | econometric | 1 | 49908 | 2 | 3.720 | 13416.1 |
354 | 2025-03-07 12:26:29 | econometric | 4 | 148819 | 65 | 49.363 | 3014.8 |
353 | 2025-02-26 07:24:44 | econometric | 4 | 148819 | 65 | 35.076 | 4242.8 |
352 | 2025-02-22 20:05:24 | econometric | 1 | 49908 | 2 | 5.033 | 9916.2 |
351 | 2025-02-21 12:46:55 | econometric | 4 | 148819 | 65 | 36.660 | 4059.4 |
350 | 2025-02-21 12:46:49 | econometric | 4 | 148819 | 65 | 33.343 | 4463.3 |
349 | 2025-02-21 12:46:46 | econometric | 2 | 86808 | 4 | 17.890 | 4852.3 |
348 | 2025-02-20 16:13:28 | econometric | 4 | 148819 | 65 | 53.456 | 2784.0 |
347 | 2025-02-20 04:18:34 | econometric | 4 | 148819 | 65 | 61.863 | 2405.6 |
346 | 2025-02-20 02:04:32 | econometric | 5 | 164607 | 253 | 59.406 | 2770.9 |
345 | 2025-02-20 02:04:31 | econometric | 4 | 148819 | 65 | 48.690 | 3056.5 |
344 | 2025-02-20 02:04:28 | econometric | 3 | 121633 | 22 | 24.876 | 4889.6 |
343 | 2025-02-20 02:04:21 | econometric | 2 | 86808 | 4 | 12.360 | 7023.3 |
342 | 2025-02-20 02:03:42 | econometric | 1 | 49908 | 2 | 3.923 | 12721.9 |
341 | 2025-02-19 08:22:48 | econometric | 1 | 49908 | 2 | 4.436 | 11250.7 |
340 | 2025-02-04 16:00:59 | econometric | 3 | 121633 | 22 | 27.566 | 4412.4 |
339 | 2025-02-03 03:30:50 | econometric | 3 | 121633 | 22 | 25.156 | 4835.1 |
338 | 2025-02-03 03:30:55 | econometric | 2 | 86808 | 4 | 17.830 | 4868.6 |
337 | 2025-02-03 03:29:42 | econometric | 4 | 148819 | 65 | 26.080 | 5706.3 |
336 | 2025-02-03 03:28:59 | econometric | 1 | 49908 | 2 | 6.420 | 7773.8 |
335 | 2025-01-17 11:37:05 | econometric | 4 | 148819 | 65 | 41.830 | 3557.7 |
334 | 2025-01-16 15:09:01 | econometric | 1 | 49908 | 2 | 4.456 | 11200.2 |
333 | 2025-01-13 20:13:45 | econometric | 4 | 148819 | 65 | 48.350 | 3078.0 |
332 | 2025-01-12 23:35:45 | econometric | 4 | 148819 | 65 | 48.410 | 3074.1 |
331 | 2025-01-12 19:21:19 | econometric | 1 | 49908 | 2 | 2.156 | 23148.4 |
330 | 2025-01-12 12:20:26 | econometric | 4 | 148819 | 65 | 33.520 | 4439.7 |
329 | 2025-01-12 08:01:13 | econometric | 1 | 49908 | 2 | 4.076 | 12244.4 |
328 | 2025-01-03 01:00:44 | econometric | 1 | 49908 | 2 | 3.843 | 12986.7 |
327 | 2024-12-29 18:14:57 | econometric | 2 | 86808 | 4 | 9.486 | 9151.2 |
326 | 2024-12-17 06:49:43 | econometric | 2 | 86808 | 4 | 12.296 | 7059.9 |
325 | 2024-12-16 21:39:00 | econometric | 4 | 148819 | 65 | 48.346 | 3078.2 |
324 | 2024-12-16 21:39:04 | econometric | 2 | 86808 | 4 | 13.780 | 6299.6 |
323 | 2024-12-16 21:36:13 | econometric | 4 | 148819 | 65 | 47.016 | 3165.3 |
322 | 2024-12-16 21:36:15 | econometric | 3 | 121633 | 22 | 25.783 | 4717.6 |
321 | 2024-12-15 21:41:16 | econometric | 3 | 121633 | 22 | 20.796 | 5848.9 |
320 | 2024-12-13 11:05:31 | econometric | 4 | 148819 | 65 | 47.043 | 3163.5 |
319 | 2024-12-13 11:05:31 | econometric | 3 | 121633 | 22 | 29.906 | 4067.2 |
318 | 2024-12-13 05:26:12 | econometric | 4 | 148819 | 65 | 24.876 | 5982.4 |
317 | 2024-12-13 02:56:46 | econometric | 4 | 148819 | 65 | 59.893 | 2484.7 |
316 | 2024-12-13 02:56:48 | econometric | 4 | 148819 | 65 | 41.893 | 3552.4 |
315 | 2024-12-13 02:56:49 | econometric | 3 | 121633 | 22 | 28.470 | 4272.3 |
314 | 2024-12-13 02:56:51 | econometric | 2 | 86808 | 4 | 10.310 | 8419.8 |
313 | 2024-12-13 02:54:36 | econometric | 1 | 49908 | 2 | 1.966 | 25385.6 |
312 | 2024-12-11 08:40:05 | econometric | 1 | 49908 | 2 | 6.296 | 7926.9 |
311 | 2024-12-03 03:25:18 | econometric | 1 | 49908 | 2 | 3.953 | 12625.3 |
310 | 2024-11-09 05:35:09 | econometric | 3 | 121633 | 22 | 12.046 | 10097.4 |