History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"thinness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
409 | 2025-08-14 22:58:49 | thinness | 1 | 82945 | 4 | 10.656 | 7783.9 |
408 | 2025-08-13 12:55:56 | thinness | 2 | 121059 | 21 | 19.390 | 6243.4 |
407 | 2025-08-13 12:43:47 | thinness | 3 | 146162 | 212 | 18.360 | 7960.9 |
406 | 2025-08-13 12:43:33 | thinness | 3 | 146162 | 212 | 18.563 | 7873.8 |
405 | 2025-08-11 15:54:15 | thinness | 1 | 82945 | 4 | 3.813 | 21753.2 |
404 | 2025-08-11 06:52:50 | thinness | 2 | 121059 | 21 | 14.906 | 8121.5 |
403 | 2025-08-10 19:17:56 | thinness | 3 | 146162 | 212 | 20.440 | 7150.8 |
402 | 2025-08-09 00:41:35 | thinness | 3 | 146162 | 212 | 7.016 | 20832.7 |
401 | 2025-08-08 22:55:30 | thinness | 2 | 121059 | 21 | 3.486 | 34727.2 |
400 | 2025-08-07 07:59:11 | thinness | 3 | 146162 | 212 | 29.706 | 4920.3 |
399 | 2025-08-05 02:49:05 | thinness | 2 | 121059 | 21 | 14.500 | 8348.9 |
398 | 2025-08-05 01:05:26 | thinness | 3 | 146162 | 212 | 19.046 | 7674.2 |
397 | 2025-08-04 15:04:39 | thinness | 1 | 82945 | 4 | 1.373 | 60411.5 |
396 | 2025-08-04 01:37:44 | thinness | 1 | 82945 | 4 | 5.236 | 15841.3 |
395 | 2025-08-03 16:10:12 | thinness | 1 | 82945 | 4 | 6.703 | 12374.3 |
394 | 2025-07-26 02:37:24 | thinness | 1 | 82945 | 4 | 2.716 | 30539.4 |
393 | 2025-07-12 23:12:27 | thinness | 1 | 82945 | 4 | 1.423 | 58288.8 |
392 | 2025-07-10 17:06:50 | thinness | 1 | 82945 | 4 | 8.966 | 9251.1 |
391 | 2025-07-10 00:47:38 | thinness | 1 | 82945 | 4 | 3.703 | 22399.4 |
390 | 2025-07-03 03:50:05 | thinness | 2 | 121059 | 21 | 16.796 | 7207.6 |
389 | 2025-07-02 21:51:00 | thinness | 1 | 82945 | 4 | 3.656 | 22687.4 |
388 | 2025-06-29 22:15:24 | thinness | 2 | 121059 | 21 | 11.216 | 10793.4 |
387 | 2025-06-28 17:55:16 | thinness | 1 | 82945 | 4 | 1.703 | 48705.2 |
386 | 2025-06-27 05:38:21 | thinness | 1 | 82945 | 4 | 3.640 | 22787.1 |
385 | 2025-06-22 16:50:01 | thinness | 1 | 82945 | 4 | 4.453 | 18626.8 |
384 | 2025-06-16 11:49:11 | thinness | 1 | 82945 | 4 | 4.500 | 18432.2 |
383 | 2025-06-16 00:02:40 | thinness | 3 | 146162 | 212 | 36.756 | 3976.5 |
382 | 2025-06-14 21:55:57 | thinness | 3 | 146162 | 212 | 12.906 | 11325.1 |
381 | 2025-06-14 13:16:38 | thinness | 2 | 121059 | 21 | 10.966 | 11039.5 |
380 | 2025-06-14 00:18:21 | thinness | 1 | 82945 | 4 | 5.796 | 14310.7 |
379 | 2025-06-13 00:29:02 | thinness | 3 | 146162 | 212 | 7.123 | 20519.7 |
378 | 2025-06-12 23:24:25 | thinness | 3 | 146162 | 212 | 42.986 | 3400.2 |
377 | 2025-06-12 08:11:46 | thinness | 1 | 82945 | 4 | 3.513 | 23610.9 |
376 | 2025-06-11 22:51:42 | thinness | 1 | 82945 | 4 | 3.170 | 26165.6 |
375 | 2025-06-11 03:27:21 | thinness | 3 | 146162 | 212 | 21.033 | 6949.2 |
374 | 2025-06-07 12:44:09 | thinness | 1 | 82945 | 4 | 3.906 | 21235.3 |
373 | 2025-06-03 05:55:50 | thinness | 2 | 121059 | 21 | 14.860 | 8146.6 |
372 | 2025-06-02 13:26:39 | thinness | 1 | 82945 | 4 | 6.690 | 12398.4 |
371 | 2025-05-31 00:25:00 | thinness | 2 | 121059 | 21 | 15.343 | 7890.2 |
370 | 2025-05-24 06:11:33 | thinness | 1 | 82945 | 4 | 6.750 | 12288.1 |
369 | 2025-05-23 02:01:10 | thinness | 1 | 82945 | 4 | 1.500 | 55296.7 |
368 | 2025-05-16 17:46:42 | thinness | 1 | 82945 | 4 | 3.406 | 24352.6 |
367 | 2025-05-13 19:22:44 | thinness | 1 | 82945 | 4 | 3.046 | 27230.8 |
366 | 2025-05-11 22:41:22 | thinness | 1 | 82945 | 4 | 3.250 | 25521.5 |
365 | 2025-05-09 23:57:54 | thinness | 1 | 82945 | 4 | 5.703 | 14544.1 |
364 | 2025-05-04 17:24:04 | thinness | 2 | 121059 | 21 | 36.250 | 3339.6 |
363 | 2025-05-02 21:00:09 | thinness | 2 | 121059 | 21 | 9.220 | 13130.0 |
362 | 2025-05-02 19:05:05 | thinness | 1 | 82945 | 4 | 1.593 | 52068.4 |
361 | 2025-04-20 20:42:08 | thinness | 1 | 82945 | 4 | 3.250 | 25521.5 |
360 | 2025-04-19 23:54:54 | thinness | 3 | 146162 | 212 | 34.286 | 4263.0 |
359 | 2025-04-16 05:30:36 | thinness | 2 | 121059 | 21 | 8.936 | 13547.3 |
358 | 2025-04-16 02:25:25 | thinness | 3 | 146162 | 212 | 54.846 | 2665.0 |
357 | 2025-04-15 22:35:36 | thinness | 3 | 146162 | 212 | 39.973 | 3656.5 |
356 | 2025-04-14 16:11:34 | thinness | 1 | 82945 | 4 | 6.953 | 11929.4 |
355 | 2025-04-14 06:59:43 | thinness | 2 | 121059 | 21 | 17.593 | 6881.1 |
354 | 2025-04-14 02:38:41 | thinness | 3 | 146162 | 212 | 36.660 | 3987.0 |
353 | 2025-04-10 23:38:19 | thinness | 1 | 82945 | 4 | 7.640 | 10856.7 |
352 | 2025-04-02 07:52:07 | thinness | 1 | 82945 | 4 | 4.296 | 19307.5 |
351 | 2025-03-31 16:07:03 | thinness | 1 | 82945 | 4 | 6.593 | 12580.8 |
350 | 2025-03-21 10:04:40 | thinness | 1 | 82945 | 4 | 8.310 | 9981.3 |
349 | 2025-03-10 22:11:18 | thinness | 3 | 146162 | 212 | 29.483 | 4957.5 |
348 | 2025-03-10 19:05:09 | thinness | 3 | 146162 | 212 | 35.753 | 4088.1 |
347 | 2025-03-10 16:03:09 | thinness | 3 | 146162 | 212 | 33.643 | 4344.5 |
346 | 2025-03-10 16:03:04 | thinness | 2 | 121059 | 21 | 21.360 | 5667.6 |
345 | 2025-03-06 22:32:19 | thinness | 1 | 82945 | 4 | 3.686 | 22502.7 |
344 | 2025-03-05 02:32:27 | thinness | 1 | 82945 | 4 | 8.186 | 10132.5 |
343 | 2025-03-02 08:30:10 | thinness | 3 | 146162 | 212 | 10.533 | 13876.6 |
342 | 2025-03-02 05:07:24 | thinness | 3 | 146162 | 212 | 48.956 | 2985.6 |
341 | 2025-02-27 17:59:26 | thinness | 1 | 82945 | 4 | 6.940 | 11951.7 |
340 | 2025-02-07 11:29:14 | thinness | 2 | 121059 | 21 | 18.690 | 6477.2 |
339 | 2025-02-07 11:06:54 | thinness | 1 | 82945 | 4 | 1.233 | 67270.9 |
338 | 2025-02-06 14:05:25 | thinness | 3 | 146162 | 212 | 23.516 | 6215.4 |
337 | 2025-02-06 10:07:53 | thinness | 3 | 146162 | 212 | 37.006 | 3949.7 |
336 | 2025-02-04 19:29:53 | thinness | 3 | 146162 | 212 | 11.420 | 12798.8 |
335 | 2025-02-04 01:37:23 | thinness | 2 | 121059 | 21 | 23.706 | 5106.7 |
334 | 2025-02-04 01:37:22 | thinness | 3 | 146162 | 212 | 22.516 | 6491.5 |
333 | 2025-02-04 01:29:52 | thinness | 1 | 82945 | 4 | 1.403 | 59119.7 |
332 | 2025-01-08 10:44:12 | thinness | 1 | 82945 | 4 | 6.580 | 12605.6 |
331 | 2025-01-08 10:42:26 | thinness | 2 | 121059 | 21 | 18.076 | 6697.2 |
330 | 2025-01-07 21:51:26 | thinness | 3 | 146162 | 212 | 23.483 | 6224.2 |
329 | 2025-01-06 10:59:13 | thinness | 3 | 146162 | 212 | 32.470 | 4501.4 |
328 | 2025-01-05 19:57:30 | thinness | 2 | 121059 | 21 | 10.453 | 11581.3 |
327 | 2025-01-05 19:13:12 | thinness | 3 | 146162 | 212 | 21.440 | 6817.3 |
326 | 2025-01-05 18:20:44 | thinness | 3 | 146162 | 212 | 40.533 | 3606.0 |
325 | 2025-01-04 22:04:10 | thinness | 3 | 146162 | 212 | 13.690 | 10676.6 |
324 | 2025-01-04 22:04:09 | thinness | 2 | 121059 | 21 | 4.970 | 24357.9 |
323 | 2025-01-04 22:04:05 | thinness | 1 | 82945 | 4 | 1.436 | 57761.1 |
322 | 2024-12-09 13:41:54 | thinness | 1 | 82945 | 4 | 4.546 | 18245.7 |
321 | 2024-12-05 19:31:48 | thinness | 1 | 82945 | 4 | 10.843 | 7649.6 |
320 | 2024-11-27 08:55:06 | thinness | 1 | 82945 | 4 | 2.516 | 32967.0 |
319 | 2024-11-17 12:28:52 | thinness | 3 | 146162 | 212 | 38.330 | 3813.3 |
318 | 2024-11-16 17:46:10 | thinness | 2 | 121059 | 21 | 3.656 | 33112.4 |
317 | 2024-11-16 17:17:03 | thinness | 3 | 146162 | 212 | 16.686 | 8759.6 |
316 | 2024-11-16 02:40:05 | thinness | 3 | 146162 | 212 | 31.453 | 4647.0 |
315 | 2024-11-15 16:32:44 | thinness | 3 | 146162 | 212 | 16.393 | 8916.1 |
314 | 2024-11-15 16:32:51 | thinness | 2 | 121059 | 21 | 8.673 | 13958.1 |
313 | 2024-11-15 16:32:36 | thinness | 1 | 82945 | 4 | 1.530 | 54212.4 |
312 | 2024-11-08 05:17:04 | thinness | 1 | 82945 | 4 | 5.610 | 14785.2 |
311 | 2024-10-30 16:08:08 | thinness | 1 | 82945 | 4 | 3.983 | 20824.8 |
310 | 2024-10-24 23:17:00 | thinness | 1 | 82945 | 4 | 4.623 | 17941.8 |