History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"knightly"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
384 | 2025-09-05 14:01:55 | knightly | 3 | 146162 | 35 | 6.656 | 21959.4 |
383 | 2025-09-05 14:01:21 | knightly | 2 | 121059 | 13 | 3.106 | 38975.9 |
382 | 2025-09-03 07:00:51 | knightly | 1 | 82945 | 2 | 1.440 | 57600.7 |
381 | 2025-09-01 06:29:41 | knightly | 4 | 161609 | 283 | 10.843 | 14904.5 |
380 | 2025-08-27 12:30:10 | knightly | 1 | 82945 | 2 | 1.453 | 57085.3 |
379 | 2025-08-26 11:15:07 | knightly | 4 | 161609 | 283 | 10.953 | 14754.8 |
378 | 2025-08-24 09:38:40 | knightly | 4 | 161609 | 283 | 65.490 | 2467.7 |
377 | 2025-08-23 17:10:59 | knightly | 4 | 161609 | 283 | 37.733 | 4283.0 |
376 | 2025-08-23 04:26:58 | knightly | 1 | 82945 | 2 | 7.470 | 11103.7 |
375 | 2025-08-21 02:55:41 | knightly | 4 | 161609 | 283 | 28.693 | 5632.3 |
374 | 2025-08-18 21:34:49 | knightly | 1 | 82945 | 2 | 3.173 | 26140.9 |
373 | 2025-08-18 04:41:04 | knightly | 4 | 161609 | 283 | 13.546 | 11930.4 |
372 | 2025-08-16 20:48:20 | knightly | 4 | 161609 | 283 | 38.303 | 4219.2 |
371 | 2025-08-14 23:29:28 | knightly | 4 | 161609 | 283 | 51.206 | 3156.1 |
370 | 2025-08-13 13:37:15 | knightly | 2 | 121059 | 13 | 10.313 | 11738.5 |
369 | 2025-08-12 21:50:41 | knightly | 4 | 161609 | 283 | 37.190 | 4345.5 |
368 | 2025-08-09 03:46:25 | knightly | 1 | 82945 | 2 | 9.343 | 8877.8 |
367 | 2025-08-01 17:06:48 | knightly | 2 | 121059 | 13 | 16.843 | 7187.5 |
366 | 2025-08-01 13:18:45 | knightly | 1 | 82945 | 2 | 3.126 | 26533.9 |
365 | 2025-08-01 09:24:58 | knightly | 3 | 146162 | 35 | 17.580 | 8314.1 |
364 | 2025-08-01 02:24:41 | knightly | 4 | 161609 | 283 | 43.470 | 3717.7 |
363 | 2025-07-30 19:56:26 | knightly | 1 | 82945 | 2 | 1.376 | 60279.8 |
362 | 2025-07-15 22:24:46 | knightly | 1 | 82945 | 2 | 4.830 | 17172.9 |
361 | 2025-07-12 16:23:52 | knightly | 1 | 82945 | 2 | 1.393 | 59544.1 |
360 | 2025-07-11 12:07:51 | knightly | 3 | 146162 | 35 | 27.456 | 5323.5 |
359 | 2025-07-11 00:13:54 | knightly | 1 | 82945 | 2 | 3.406 | 24352.6 |
358 | 2025-07-10 03:24:41 | knightly | 1 | 82945 | 2 | 3.563 | 23279.5 |
357 | 2025-07-09 23:14:22 | knightly | 3 | 146162 | 35 | 37.786 | 3868.2 |
356 | 2025-07-09 21:22:27 | knightly | 3 | 146162 | 35 | 44.536 | 3281.9 |
355 | 2025-07-08 06:14:55 | knightly | 3 | 146162 | 35 | 23.796 | 6142.3 |
354 | 2025-07-06 07:41:40 | knightly | 3 | 146162 | 35 | 20.796 | 7028.4 |
353 | 2025-07-05 11:38:44 | knightly | 3 | 146162 | 35 | 39.943 | 3659.3 |
352 | 2025-07-04 13:30:27 | knightly | 1 | 82945 | 2 | 4.783 | 17341.6 |
351 | 2025-06-29 20:24:44 | knightly | 1 | 82945 | 2 | 4.690 | 17685.5 |
350 | 2025-06-08 10:02:58 | knightly | 3 | 146162 | 35 | 34.753 | 4205.7 |
349 | 2025-05-29 19:45:03 | knightly | 1 | 82945 | 2 | 1.780 | 46598.3 |
348 | 2025-05-28 20:40:55 | knightly | 3 | 146162 | 35 | 29.550 | 4946.3 |
347 | 2025-05-27 16:13:19 | knightly | 2 | 121059 | 13 | 14.656 | 8260.0 |
346 | 2025-05-27 08:59:33 | knightly | 3 | 146162 | 35 | 45.330 | 3224.4 |
345 | 2025-05-25 20:01:23 | knightly | 1 | 82945 | 2 | 1.283 | 64649.3 |
344 | 2025-05-07 21:55:51 | knightly | 1 | 82945 | 2 | 3.910 | 21213.6 |
343 | 2025-04-28 15:12:52 | knightly | 2 | 121059 | 13 | 16.436 | 7365.5 |
342 | 2025-04-27 22:02:36 | knightly | 3 | 146162 | 35 | 40.096 | 3645.3 |
341 | 2025-04-24 14:55:39 | knightly | 2 | 121059 | 13 | 6.406 | 18897.8 |
340 | 2025-04-24 08:11:38 | knightly | 3 | 146162 | 35 | 42.503 | 3438.9 |
339 | 2025-04-22 19:56:00 | knightly | 1 | 82945 | 2 | 1.483 | 55930.5 |
338 | 2025-04-17 22:27:59 | knightly | 1 | 82945 | 2 | 3.390 | 24467.6 |
337 | 2025-04-16 11:20:57 | knightly | 1 | 82945 | 2 | 5.610 | 14785.2 |
336 | 2025-04-08 03:54:03 | knightly | 1 | 82945 | 2 | 4.063 | 20414.7 |
335 | 2025-03-29 05:08:22 | knightly | 4 | 161609 | 283 | 71.706 | 2253.8 |
334 | 2025-03-29 02:17:16 | knightly | 1 | 82945 | 2 | 5.436 | 15258.5 |
333 | 2025-03-26 17:23:03 | knightly | 4 | 161609 | 283 | 55.520 | 2910.8 |
332 | 2025-03-24 22:35:21 | knightly | 2 | 121059 | 13 | 9.156 | 13221.8 |
331 | 2025-03-24 19:11:35 | knightly | 3 | 146162 | 35 | 7.186 | 20339.8 |
330 | 2025-03-21 21:14:33 | knightly | 1 | 82945 | 2 | 1.236 | 67107.6 |
329 | 2025-03-09 17:52:02 | knightly | 4 | 161609 | 283 | 59.160 | 2731.7 |
328 | 2025-03-07 23:30:15 | knightly | 4 | 161609 | 283 | 68.503 | 2359.2 |
327 | 2025-03-04 00:11:00 | knightly | 2 | 121059 | 13 | 17.563 | 6892.8 |
326 | 2025-03-04 00:10:41 | knightly | 1 | 82945 | 2 | 6.656 | 12461.7 |
325 | 2025-03-03 16:06:18 | knightly | 4 | 161609 | 283 | 24.813 | 6513.1 |
324 | 2025-02-25 17:56:25 | knightly | 1 | 82945 | 2 | 8.143 | 10186.0 |
323 | 2025-02-22 14:53:58 | knightly | 1 | 82945 | 2 | 3.530 | 23497.2 |
322 | 2025-02-19 11:19:51 | knightly | 4 | 161609 | 283 | 30.410 | 5314.3 |
321 | 2025-02-18 12:30:58 | knightly | 1 | 82945 | 2 | 6.236 | 13301.0 |
320 | 2025-02-17 03:24:06 | knightly | 3 | 146162 | 35 | 25.516 | 5728.2 |
319 | 2025-02-16 21:54:56 | knightly | 4 | 161609 | 283 | 62.366 | 2591.3 |
318 | 2025-02-15 10:12:56 | knightly | 4 | 161609 | 283 | 55.033 | 2936.6 |
317 | 2025-02-13 04:09:07 | knightly | 3 | 146162 | 35 | 23.750 | 6154.2 |
316 | 2025-02-12 21:13:05 | knightly | 1 | 82945 | 2 | 9.470 | 8758.7 |
315 | 2025-02-11 10:00:33 | knightly | 4 | 161609 | 283 | 13.220 | 12224.6 |
314 | 2025-02-07 10:45:30 | knightly | 3 | 146162 | 35 | 16.796 | 8702.2 |
313 | 2025-02-07 10:45:29 | knightly | 2 | 121059 | 13 | 8.736 | 13857.5 |
312 | 2025-02-03 02:54:36 | knightly | 4 | 161609 | 283 | 40.550 | 3985.4 |
311 | 2025-02-02 00:51:18 | knightly | 4 | 161609 | 283 | 75.163 | 2150.1 |
310 | 2025-01-28 18:55:39 | knightly | 1 | 82945 | 2 | 8.173 | 10148.7 |
309 | 2025-01-17 19:38:03 | knightly | 1 | 82945 | 2 | 6.516 | 12729.4 |
308 | 2025-01-17 00:14:39 | knightly | 4 | 161609 | 283 | 59.706 | 2706.7 |
307 | 2025-01-15 14:40:32 | knightly | 4 | 161609 | 283 | 75.513 | 2140.1 |
306 | 2025-01-13 13:23:21 | knightly | 1 | 82945 | 2 | 4.236 | 19581.0 |
305 | 2025-01-13 09:30:16 | knightly | 1 | 82945 | 2 | 6.360 | 13041.7 |
304 | 2025-01-03 14:12:52 | knightly | 3 | 146162 | 35 | 7.000 | 20880.3 |
303 | 2024-12-29 01:30:36 | knightly | 3 | 146162 | 35 | 38.976 | 3750.1 |
302 | 2024-12-28 11:23:31 | knightly | 1 | 82945 | 2 | 6.220 | 13335.2 |
301 | 2024-12-28 11:10:53 | knightly | 3 | 146162 | 35 | 11.123 | 13140.5 |
300 | 2024-12-27 18:19:34 | knightly | 3 | 146162 | 35 | 7.733 | 18901.1 |
299 | 2024-12-27 18:19:33 | knightly | 2 | 121059 | 13 | 3.826 | 31641.1 |
298 | 2024-12-13 06:50:35 | knightly | 1 | 82945 | 2 | 8.766 | 9462.1 |
297 | 2024-12-12 12:52:20 | knightly | 1 | 82945 | 2 | 6.406 | 12948.0 |
296 | 2024-12-04 07:11:34 | knightly | 1 | 82945 | 2 | 6.186 | 13408.5 |
295 | 2024-12-02 16:40:15 | knightly | 3 | 146162 | 35 | 6.546 | 22328.4 |
294 | 2024-12-02 16:40:16 | knightly | 2 | 121059 | 13 | 3.453 | 35059.1 |
293 | 2024-11-28 03:38:42 | knightly | 4 | 161609 | 283 | 87.890 | 1838.8 |
292 | 2024-11-27 22:51:27 | knightly | 4 | 161609 | 283 | 63.693 | 2537.3 |
291 | 2024-11-27 14:21:42 | knightly | 2 | 121059 | 13 | 19.080 | 6344.8 |
290 | 2024-11-27 14:11:59 | knightly | 3 | 146162 | 35 | 7.126 | 20511.1 |
289 | 2024-11-27 13:19:46 | knightly | 4 | 161609 | 283 | 37.266 | 4336.6 |
288 | 2024-11-27 09:16:29 | knightly | 3 | 146162 | 35 | 8.546 | 17103.0 |
287 | 2024-11-27 09:16:28 | knightly | 2 | 121059 | 13 | 3.343 | 36212.7 |
286 | 2024-11-25 06:34:10 | knightly | 4 | 161609 | 283 | 71.346 | 2265.1 |
285 | 2024-11-10 12:31:52 | knightly | 1 | 82945 | 2 | 6.610 | 12548.4 |