History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"complexity"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
399 | 2025-09-30 17:04:02 | complexity | 5 | 173545 | 431 | 18.660 | 9300.4 |
398 | 2025-09-30 15:28:55 | complexity | 3 | 140603 | 25 | 5.890 | 23871.5 |
397 | 2025-09-30 12:06:40 | complexity | 5 | 173545 | 431 | 16.923 | 10255.0 |
396 | 2025-09-30 05:12:14 | complexity | 1 | 67641 | 2 | 1.220 | 55443.4 |
395 | 2025-09-25 16:37:53 | complexity | 5 | 173545 | 431 | 104.333 | 1663.4 |
394 | 2025-09-25 16:37:27 | complexity | 5 | 173545 | 431 | 110.646 | 1568.5 |
393 | 2025-09-25 16:38:05 | complexity | 5 | 173545 | 431 | 65.410 | 2653.2 |
392 | 2025-09-25 16:37:38 | complexity | 5 | 173545 | 431 | 83.223 | 2085.3 |
391 | 2025-09-25 10:15:09 | complexity | 5 | 173545 | 431 | 104.773 | 1656.4 |
390 | 2025-09-25 05:26:50 | complexity | 5 | 173545 | 431 | 103.230 | 1681.1 |
389 | 2025-09-25 03:34:25 | complexity | 5 | 173545 | 431 | 109.710 | 1581.9 |
388 | 2025-09-20 21:22:24 | complexity | 5 | 173545 | 431 | 16.266 | 10669.2 |
387 | 2025-09-19 10:06:42 | complexity | 3 | 140603 | 25 | 5.893 | 23859.3 |
386 | 2025-09-18 22:37:39 | complexity | 5 | 173545 | 431 | 18.080 | 9598.7 |
385 | 2025-09-18 03:57:42 | complexity | 5 | 173545 | 431 | 15.266 | 11368.1 |
384 | 2025-09-17 18:47:56 | complexity | 1 | 67641 | 2 | 1.170 | 57812.8 |
383 | 2025-09-17 12:33:32 | complexity | 2 | 108824 | 6 | 3.233 | 33660.4 |
382 | 2025-09-17 05:27:06 | complexity | 4 | 161450 | 83 | 12.156 | 13281.5 |
381 | 2025-09-13 19:39:10 | complexity | 4 | 161450 | 83 | 11.563 | 13962.6 |
380 | 2025-09-13 05:32:06 | complexity | 4 | 161450 | 83 | 11.186 | 14433.2 |
379 | 2025-09-08 06:41:34 | complexity | 4 | 161450 | 83 | 10.280 | 15705.3 |
378 | 2025-09-07 06:05:54 | complexity | 2 | 108824 | 6 | 2.780 | 39145.3 |
377 | 2025-09-02 01:19:10 | complexity | 1 | 67641 | 2 | 1.080 | 62630.6 |
376 | 2025-09-02 00:29:27 | complexity | 2 | 108824 | 6 | 2.906 | 37448.0 |
375 | 2025-09-01 21:00:04 | complexity | 3 | 140603 | 25 | 6.050 | 23240.2 |
374 | 2025-08-31 20:00:00 | complexity | 1 | 67641 | 2 | 1.076 | 62863.4 |
373 | 2025-08-30 14:48:36 | complexity | 3 | 140603 | 25 | 6.800 | 20676.9 |
372 | 2025-08-29 02:43:40 | complexity | 2 | 108824 | 6 | 2.750 | 39572.4 |
371 | 2025-08-29 00:30:22 | complexity | 2 | 108824 | 6 | 2.876 | 37838.7 |
370 | 2025-08-28 21:28:55 | complexity | 3 | 140603 | 25 | 8.860 | 15869.4 |
369 | 2025-08-20 12:14:32 | complexity | 2 | 108824 | 6 | 3.170 | 34329.3 |
368 | 2025-08-19 12:04:09 | complexity | 3 | 140603 | 25 | 16.800 | 8369.2 |
367 | 2025-08-03 23:24:01 | complexity | 3 | 140603 | 25 | 21.546 | 6525.7 |
366 | 2025-07-27 14:09:49 | complexity | 1 | 67641 | 2 | 4.110 | 16457.7 |
365 | 2025-07-25 02:39:10 | complexity | 1 | 67641 | 2 | 4.733 | 14291.4 |
364 | 2025-07-24 21:28:05 | complexity | 1 | 67641 | 2 | 4.283 | 15792.9 |
363 | 2025-07-21 23:53:07 | complexity | 2 | 108824 | 6 | 3.250 | 33484.3 |
362 | 2025-07-21 23:02:56 | complexity | 3 | 140603 | 25 | 5.906 | 23806.8 |
361 | 2025-07-19 11:54:57 | complexity | 1 | 67641 | 2 | 1.233 | 54858.9 |
360 | 2025-07-16 22:46:44 | complexity | 1 | 67641 | 2 | 4.966 | 13620.8 |
359 | 2025-07-14 08:30:38 | complexity | 3 | 140603 | 25 | 33.113 | 4246.2 |
358 | 2025-07-13 18:23:33 | complexity | 1 | 67641 | 2 | 1.063 | 63632.2 |
357 | 2025-07-13 15:33:42 | complexity | 3 | 140603 | 25 | 6.313 | 22272.0 |
356 | 2025-07-11 15:37:58 | complexity | 3 | 140603 | 25 | 47.113 | 2984.4 |
355 | 2025-07-10 01:01:36 | complexity | 3 | 140603 | 25 | 28.050 | 5012.6 |
354 | 2025-07-05 15:34:50 | complexity | 3 | 140603 | 25 | 17.750 | 7921.3 |
353 | 2025-07-04 23:20:56 | complexity | 3 | 140603 | 25 | 25.876 | 5433.7 |
352 | 2025-07-03 11:37:34 | complexity | 1 | 67641 | 2 | 1.220 | 55443.4 |
351 | 2025-06-28 06:39:54 | complexity | 1 | 67641 | 2 | 2.563 | 26391.3 |
350 | 2025-06-26 13:45:13 | complexity | 1 | 67641 | 2 | 5.266 | 12844.9 |
349 | 2025-06-11 22:43:31 | complexity | 1 | 67641 | 2 | 5.593 | 12093.9 |
348 | 2025-06-09 16:17:11 | complexity | 1 | 67641 | 2 | 1.093 | 61885.6 |
347 | 2025-05-23 22:59:54 | complexity | 3 | 140603 | 25 | 33.423 | 4206.8 |
346 | 2025-05-22 10:30:05 | complexity | 3 | 140603 | 25 | 32.123 | 4377.0 |
345 | 2025-05-21 22:13:31 | complexity | 3 | 140603 | 25 | 33.893 | 4148.4 |
344 | 2025-05-21 04:53:22 | complexity | 2 | 108824 | 6 | 2.893 | 37616.3 |
343 | 2025-05-20 18:14:06 | complexity | 3 | 140603 | 25 | 30.893 | 4551.3 |
342 | 2025-05-20 08:32:50 | complexity | 2 | 108824 | 6 | 11.876 | 9163.4 |
341 | 2025-05-17 12:51:11 | complexity | 3 | 140603 | 25 | 10.796 | 13023.6 |
340 | 2025-05-17 11:27:09 | complexity | 2 | 108824 | 6 | 14.140 | 7696.2 |
339 | 2025-05-15 04:46:54 | complexity | 1 | 67641 | 2 | 1.296 | 52192.1 |
338 | 2025-05-12 23:24:52 | complexity | 3 | 140603 | 25 | 32.033 | 4389.3 |
337 | 2025-05-11 14:38:18 | complexity | 3 | 140603 | 25 | 6.220 | 22605.0 |
336 | 2025-05-11 07:24:27 | complexity | 2 | 108824 | 6 | 9.156 | 11885.5 |
335 | 2025-05-08 06:34:32 | complexity | 1 | 67641 | 2 | 6.470 | 10454.6 |
334 | 2025-05-08 03:36:11 | complexity | 1 | 67641 | 2 | 4.986 | 13566.2 |
333 | 2025-05-06 16:34:36 | complexity | 1 | 67641 | 2 | 3.283 | 20603.4 |
332 | 2025-05-05 23:05:28 | complexity | 4 | 161450 | 83 | 50.366 | 3205.5 |
331 | 2025-05-05 04:50:50 | complexity | 4 | 161450 | 83 | 45.876 | 3519.3 |
330 | 2025-05-02 00:48:55 | complexity | 3 | 140603 | 25 | 26.800 | 5246.4 |
329 | 2025-05-01 18:55:48 | complexity | 4 | 161450 | 83 | 47.516 | 3397.8 |
328 | 2025-05-01 18:09:13 | complexity | 3 | 140603 | 25 | 6.110 | 23011.9 |
327 | 2025-05-01 17:57:04 | complexity | 2 | 108824 | 6 | 3.110 | 34991.6 |
326 | 2025-05-01 06:18:30 | complexity | 1 | 67641 | 2 | 3.626 | 18654.4 |
325 | 2025-04-30 21:02:00 | complexity | 1 | 67641 | 2 | 4.750 | 14240.2 |
324 | 2025-04-29 23:13:17 | complexity | 1 | 67641 | 2 | 7.046 | 9599.9 |
323 | 2025-04-25 22:26:17 | complexity | 4 | 161450 | 83 | 59.676 | 2705.4 |
322 | 2025-04-22 22:08:10 | complexity | 4 | 161450 | 83 | 47.876 | 3372.3 |
321 | 2025-04-20 14:16:44 | complexity | 4 | 161450 | 83 | 38.736 | 4168.0 |
320 | 2025-04-18 11:28:07 | complexity | 1 | 67641 | 2 | 2.953 | 22905.9 |
319 | 2025-04-08 08:35:54 | complexity | 1 | 67641 | 2 | 5.766 | 11731.0 |
318 | 2025-03-23 18:08:59 | complexity | 3 | 140603 | 25 | 27.426 | 5126.6 |
317 | 2025-03-20 23:31:10 | complexity | 4 | 161450 | 83 | 62.956 | 2564.5 |
316 | 2025-03-20 00:14:50 | complexity | 1 | 67641 | 2 | 5.220 | 12958.0 |
315 | 2025-03-14 04:55:38 | complexity | 1 | 67641 | 2 | 3.546 | 19075.3 |
314 | 2025-03-13 19:38:52 | complexity | 3 | 140603 | 25 | 27.283 | 5153.5 |
313 | 2025-03-13 19:38:52 | complexity | 3 | 140603 | 25 | 19.453 | 7227.8 |
312 | 2025-03-13 19:38:32 | complexity | 2 | 108824 | 6 | 15.313 | 7106.6 |
311 | 2025-03-12 11:12:02 | complexity | 4 | 161450 | 83 | 56.080 | 2878.9 |
310 | 2025-03-12 11:11:35 | complexity | 3 | 140603 | 25 | 33.300 | 4222.3 |
309 | 2025-03-12 04:41:24 | complexity | 4 | 161450 | 83 | 18.876 | 8553.2 |
308 | 2025-03-09 03:07:25 | complexity | 3 | 140603 | 25 | 19.110 | 7357.6 |
307 | 2025-03-09 03:07:25 | complexity | 2 | 108824 | 6 | 12.406 | 8771.9 |
306 | 2025-03-09 03:06:32 | complexity | 1 | 67641 | 2 | 8.296 | 8153.4 |
305 | 2025-02-11 05:56:31 | complexity | 2 | 108824 | 6 | 16.140 | 6742.5 |
304 | 2025-02-11 05:55:56 | complexity | 3 | 140603 | 25 | 41.066 | 3423.8 |
303 | 2025-02-11 05:54:59 | complexity | 1 | 67641 | 2 | 4.660 | 14515.2 |
302 | 2025-02-11 05:52:49 | complexity | 3 | 140603 | 25 | 45.330 | 3101.8 |
301 | 2025-02-08 09:59:33 | complexity | 2 | 108824 | 6 | 14.876 | 7315.4 |
300 | 2025-02-06 11:02:19 | complexity | 3 | 140603 | 25 | 40.643 | 3459.5 |