History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"encoding"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
424 | 2025-10-05 11:54:18 | encoding | 1 | 82945 | 2 | 2.796 | 29665.6 |
423 | 2025-09-30 08:08:41 | encoding | 2 | 121059 | 20 | 4.076 | 29700.4 |
422 | 2025-09-29 06:44:14 | encoding | 3 | 146162 | 240 | 6.906 | 21164.5 |
421 | 2025-09-29 03:52:33 | encoding | 1 | 82945 | 2 | 1.376 | 60279.8 |
420 | 2025-09-29 00:54:23 | encoding | 1 | 82945 | 2 | 1.300 | 63803.8 |
419 | 2025-09-28 18:36:56 | encoding | 3 | 146162 | 240 | 7.126 | 20511.1 |
418 | 2025-09-28 18:26:45 | encoding | 2 | 121059 | 20 | 3.656 | 33112.4 |
417 | 2025-09-28 12:32:35 | encoding | 3 | 146162 | 240 | 7.343 | 19904.9 |
416 | 2025-09-28 09:38:05 | encoding | 2 | 121059 | 20 | 3.466 | 34927.6 |
415 | 2025-09-28 06:22:06 | encoding | 2 | 121059 | 20 | 3.390 | 35710.6 |
414 | 2025-09-28 02:51:38 | encoding | 3 | 146162 | 240 | 7.580 | 19282.6 |
413 | 2025-09-28 01:50:29 | encoding | 2 | 121059 | 20 | 3.263 | 37100.5 |
412 | 2025-09-27 21:53:00 | encoding | 2 | 121059 | 20 | 8.173 | 14812.1 |
411 | 2025-09-27 07:15:30 | encoding | 1 | 82945 | 2 | 1.470 | 56425.2 |
410 | 2025-09-27 02:54:42 | encoding | 1 | 82945 | 2 | 1.483 | 55930.5 |
409 | 2025-09-26 10:53:36 | encoding | 1 | 82945 | 2 | 1.296 | 64000.8 |
408 | 2025-09-26 10:23:06 | encoding | 3 | 146162 | 240 | 6.563 | 22270.6 |
407 | 2025-09-22 09:59:35 | encoding | 3 | 146162 | 240 | 7.500 | 19488.3 |
406 | 2025-09-21 10:20:33 | encoding | 2 | 121059 | 20 | 3.173 | 38152.9 |
405 | 2025-09-19 13:16:34 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
404 | 2025-09-18 02:20:05 | encoding | 3 | 146162 | 240 | 12.283 | 11899.5 |
403 | 2025-09-17 06:06:22 | encoding | 3 | 146162 | 240 | 7.203 | 20291.8 |
402 | 2025-09-16 22:02:39 | encoding | 2 | 121059 | 20 | 7.470 | 16206.0 |
401 | 2025-09-16 14:45:29 | encoding | 1 | 82945 | 2 | 1.296 | 64000.8 |
400 | 2025-09-16 05:25:39 | encoding | 3 | 146162 | 240 | 6.843 | 21359.3 |
399 | 2025-09-14 19:56:21 | encoding | 3 | 146162 | 240 | 7.673 | 19048.9 |
398 | 2025-09-14 18:41:39 | encoding | 3 | 146162 | 240 | 6.923 | 21112.5 |
397 | 2025-09-13 09:43:55 | encoding | 3 | 146162 | 240 | 6.950 | 21030.5 |
396 | 2025-09-11 04:46:53 | encoding | 3 | 146162 | 240 | 7.406 | 19735.6 |
395 | 2025-09-10 17:32:12 | encoding | 2 | 121059 | 20 | 4.093 | 29577.1 |
394 | 2025-09-09 13:11:10 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
393 | 2025-09-07 00:42:21 | encoding | 2 | 121059 | 20 | 3.216 | 37642.7 |
392 | 2025-09-05 13:38:42 | encoding | 1 | 82945 | 2 | 1.940 | 42755.2 |
391 | 2025-09-04 16:21:35 | encoding | 2 | 121059 | 20 | 3.420 | 35397.4 |
390 | 2025-09-02 12:43:07 | encoding | 2 | 121059 | 20 | 3.516 | 34430.9 |
389 | 2025-09-02 07:30:42 | encoding | 1 | 82945 | 2 | 1.313 | 63172.1 |
388 | 2025-09-01 17:45:02 | encoding | 3 | 146162 | 240 | 6.453 | 22650.2 |
387 | 2025-08-30 19:48:39 | encoding | 2 | 121059 | 20 | 5.516 | 21946.9 |
386 | 2025-08-30 01:08:57 | encoding | 2 | 121059 | 20 | 3.623 | 33414.0 |
385 | 2025-08-29 03:30:45 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
384 | 2025-08-29 00:25:11 | encoding | 1 | 82945 | 2 | 1.440 | 57600.7 |
383 | 2025-08-28 12:38:25 | encoding | 3 | 146162 | 240 | 8.860 | 16496.8 |
382 | 2025-08-28 09:00:14 | encoding | 2 | 121059 | 20 | 3.300 | 36684.5 |
381 | 2025-08-28 06:14:16 | encoding | 3 | 146162 | 240 | 6.860 | 21306.4 |
380 | 2025-08-28 06:13:15 | encoding | 2 | 121059 | 20 | 3.670 | 32986.1 |
379 | 2025-08-28 06:01:58 | encoding | 2 | 121059 | 20 | 3.830 | 31608.1 |
378 | 2025-08-28 04:43:09 | encoding | 2 | 121059 | 20 | 4.233 | 28598.9 |
377 | 2025-08-28 03:03:47 | encoding | 3 | 146162 | 240 | 10.173 | 14367.6 |
376 | 2025-08-28 01:50:05 | encoding | 3 | 146162 | 240 | 9.190 | 15904.5 |
375 | 2025-08-27 21:56:46 | encoding | 2 | 121059 | 20 | 3.796 | 31891.2 |
374 | 2025-08-27 16:09:00 | encoding | 1 | 82945 | 2 | 1.436 | 57761.1 |
373 | 2025-08-27 10:23:36 | encoding | 1 | 82945 | 2 | 1.423 | 58288.8 |
372 | 2025-08-27 07:02:58 | encoding | 1 | 82945 | 2 | 2.373 | 34953.6 |
371 | 2025-08-27 03:16:21 | encoding | 1 | 82945 | 2 | 1.560 | 53169.9 |
370 | 2025-08-17 05:45:21 | encoding | 3 | 146162 | 240 | 22.890 | 6385.4 |
369 | 2025-08-16 05:33:40 | encoding | 3 | 146162 | 240 | 6.796 | 21507.1 |
368 | 2025-08-14 20:40:32 | encoding | 3 | 146162 | 240 | 23.643 | 6182.0 |
367 | 2025-08-14 19:31:07 | encoding | 3 | 146162 | 240 | 31.050 | 4707.3 |
366 | 2025-08-12 13:54:36 | encoding | 3 | 146162 | 240 | 26.800 | 5453.8 |
365 | 2025-08-10 07:42:38 | encoding | 3 | 146162 | 240 | 28.140 | 5194.1 |
364 | 2025-08-09 15:24:56 | encoding | 1 | 82945 | 2 | 6.640 | 12491.7 |
363 | 2025-08-09 15:00:20 | encoding | 1 | 82945 | 2 | 6.296 | 13174.2 |
362 | 2025-08-05 15:51:51 | encoding | 1 | 82945 | 2 | 4.766 | 17403.5 |
361 | 2025-07-27 17:57:32 | encoding | 3 | 146162 | 240 | 34.813 | 4198.5 |
360 | 2025-07-27 10:57:21 | encoding | 1 | 82945 | 2 | 4.030 | 20581.9 |
359 | 2025-07-26 02:40:58 | encoding | 1 | 82945 | 2 | 1.500 | 55296.7 |
358 | 2025-07-25 03:36:29 | encoding | 1 | 82945 | 2 | 5.686 | 14587.6 |
357 | 2025-07-23 10:43:37 | encoding | 1 | 82945 | 2 | 6.750 | 12288.1 |
356 | 2025-07-22 16:34:38 | encoding | 1 | 82945 | 2 | 5.610 | 14785.2 |
355 | 2025-07-21 08:08:09 | encoding | 2 | 121059 | 20 | 4.013 | 30166.7 |
354 | 2025-07-13 04:13:18 | encoding | 1 | 82945 | 2 | 1.550 | 53512.9 |
353 | 2025-07-09 16:38:17 | encoding | 3 | 146162 | 240 | 7.250 | 20160.3 |
352 | 2025-07-07 14:20:56 | encoding | 1 | 82945 | 2 | 3.390 | 24467.6 |
351 | 2025-07-07 05:07:41 | encoding | 3 | 146162 | 240 | 35.800 | 4082.7 |
350 | 2025-07-06 22:18:10 | encoding | 1 | 82945 | 2 | 6.193 | 13393.3 |
349 | 2025-07-05 11:33:57 | encoding | 3 | 146162 | 240 | 40.440 | 3614.3 |
348 | 2025-07-05 08:16:01 | encoding | 3 | 146162 | 240 | 33.783 | 4326.5 |
347 | 2025-07-04 06:24:22 | encoding | 3 | 146162 | 240 | 23.350 | 6259.6 |
346 | 2025-06-30 07:44:35 | encoding | 2 | 121059 | 20 | 24.406 | 4960.2 |
345 | 2025-06-28 06:02:07 | encoding | 3 | 146162 | 240 | 7.096 | 20597.8 |
344 | 2025-06-27 22:15:50 | encoding | 2 | 121059 | 20 | 18.673 | 6483.1 |
343 | 2025-06-27 10:16:55 | encoding | 1 | 82945 | 2 | 6.186 | 13408.5 |
342 | 2025-06-24 03:39:56 | encoding | 1 | 82945 | 2 | 3.920 | 21159.4 |
341 | 2025-06-20 02:07:37 | encoding | 1 | 82945 | 2 | 6.003 | 13817.3 |
340 | 2025-06-16 07:53:46 | encoding | 1 | 82945 | 2 | 6.063 | 13680.5 |
339 | 2025-06-15 01:19:19 | encoding | 2 | 121059 | 20 | 3.580 | 33815.4 |
338 | 2025-06-09 23:16:44 | encoding | 2 | 121059 | 20 | 26.580 | 4554.5 |
337 | 2025-06-08 17:57:02 | encoding | 2 | 121059 | 20 | 19.050 | 6354.8 |
336 | 2025-06-07 04:20:25 | encoding | 1 | 82945 | 2 | 1.800 | 46080.6 |
335 | 2025-06-06 13:44:11 | encoding | 1 | 82945 | 2 | 4.500 | 18432.2 |
334 | 2025-06-04 10:45:27 | encoding | 3 | 146162 | 240 | 34.253 | 4267.1 |
333 | 2025-06-02 12:28:12 | encoding | 3 | 146162 | 240 | 24.563 | 5950.5 |
332 | 2025-06-02 05:49:28 | encoding | 3 | 146162 | 240 | 24.343 | 6004.3 |
331 | 2025-05-31 22:40:02 | encoding | 3 | 146162 | 240 | 41.783 | 3498.1 |
330 | 2025-05-31 17:18:21 | encoding | 1 | 82945 | 2 | 3.610 | 22976.5 |
329 | 2025-05-28 10:25:01 | encoding | 1 | 82945 | 2 | 6.140 | 13509.0 |
328 | 2025-05-26 11:32:19 | encoding | 1 | 82945 | 2 | 3.796 | 21850.6 |
327 | 2025-05-18 01:31:23 | encoding | 1 | 82945 | 2 | 6.986 | 11873.0 |
326 | 2025-05-16 08:21:14 | encoding | 1 | 82945 | 2 | 6.860 | 12091.1 |
325 | 2025-05-06 13:57:01 | encoding | 1 | 82945 | 2 | 6.703 | 12374.3 |