History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"kennelled"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
377 | 2025-08-27 11:52:43 | kennelled | 1 | 81242 | 3 | 1.330 | 61084.2 |
376 | 2025-08-09 08:32:28 | kennelled | 1 | 81242 | 3 | 6.093 | 13333.7 |
375 | 2025-08-09 01:31:00 | kennelled | 1 | 81242 | 3 | 6.873 | 11820.5 |
374 | 2025-08-08 22:20:12 | kennelled | 1 | 81242 | 3 | 6.156 | 13197.2 |
373 | 2025-07-22 21:57:30 | kennelled | 1 | 81242 | 3 | 6.860 | 11842.9 |
372 | 2025-07-08 01:20:08 | kennelled | 1 | 81242 | 3 | 6.190 | 13124.7 |
371 | 2025-07-03 23:24:11 | kennelled | 1 | 81242 | 3 | 6.796 | 11954.4 |
370 | 2025-06-26 14:57:05 | kennelled | 1 | 81242 | 3 | 5.953 | 13647.2 |
369 | 2025-06-23 20:39:29 | kennelled | 1 | 81242 | 3 | 7.233 | 11232.1 |
368 | 2025-06-17 21:11:18 | kennelled | 1 | 81242 | 3 | 6.676 | 12169.3 |
367 | 2025-06-07 22:16:12 | kennelled | 3 | 148641 | 54 | 26.833 | 5539.5 |
366 | 2025-06-04 05:43:08 | kennelled | 3 | 148641 | 54 | 37.050 | 4011.9 |
365 | 2025-06-03 23:15:24 | kennelled | 1 | 81242 | 3 | 9.436 | 8609.8 |
364 | 2025-06-03 12:56:16 | kennelled | 1 | 81242 | 3 | 1.280 | 63470.3 |
363 | 2025-05-31 05:29:57 | kennelled | 1 | 81242 | 3 | 4.923 | 16502.5 |
362 | 2025-05-17 05:59:46 | kennelled | 2 | 121436 | 8 | 19.250 | 6308.4 |
361 | 2025-05-15 21:41:40 | kennelled | 1 | 81242 | 3 | 1.343 | 60492.9 |
360 | 2025-05-15 16:21:40 | kennelled | 3 | 148641 | 54 | 31.190 | 4765.7 |
359 | 2025-05-15 13:52:04 | kennelled | 3 | 148641 | 54 | 39.453 | 3767.5 |
358 | 2025-05-12 11:52:49 | kennelled | 3 | 148641 | 54 | 20.110 | 7391.4 |
357 | 2025-05-11 13:45:04 | kennelled | 3 | 148641 | 54 | 36.673 | 4053.1 |
356 | 2025-05-10 19:18:53 | kennelled | 3 | 148641 | 54 | 36.063 | 4121.7 |
355 | 2025-05-10 00:34:20 | kennelled | 4 | 165329 | 363 | 53.690 | 3079.3 |
354 | 2025-05-09 14:52:34 | kennelled | 3 | 148641 | 54 | 12.266 | 12118.1 |
353 | 2025-05-09 11:59:46 | kennelled | 1 | 81242 | 3 | 3.123 | 26014.1 |
352 | 2025-05-08 04:47:34 | kennelled | 3 | 148641 | 54 | 28.956 | 5133.3 |
351 | 2025-05-04 05:54:38 | kennelled | 3 | 148641 | 54 | 34.643 | 4290.7 |
350 | 2025-05-03 12:56:33 | kennelled | 1 | 81242 | 3 | 3.046 | 26671.7 |
349 | 2025-05-02 14:09:50 | kennelled | 1 | 81242 | 3 | 6.563 | 12378.8 |
348 | 2025-04-29 22:48:19 | kennelled | 1 | 81242 | 3 | 6.173 | 13160.9 |
347 | 2025-04-25 21:28:13 | kennelled | 2 | 121436 | 8 | 21.376 | 5681.0 |
346 | 2025-04-25 00:35:43 | kennelled | 1 | 81242 | 3 | 1.310 | 62016.8 |
345 | 2025-03-29 16:30:55 | kennelled | 3 | 148641 | 54 | 37.643 | 3948.7 |
344 | 2025-03-27 15:30:28 | kennelled | 3 | 148641 | 54 | 35.203 | 4222.4 |
343 | 2025-03-26 16:02:47 | kennelled | 1 | 81242 | 3 | 3.766 | 21572.5 |
342 | 2025-03-23 02:26:04 | kennelled | 1 | 81242 | 3 | 6.906 | 11764.0 |
341 | 2025-03-21 22:47:09 | kennelled | 3 | 148641 | 54 | 30.626 | 4853.4 |
340 | 2025-03-16 00:55:50 | kennelled | 3 | 148641 | 54 | 37.876 | 3924.4 |
339 | 2025-03-08 15:00:22 | kennelled | 3 | 148641 | 54 | 52.923 | 2808.6 |
338 | 2025-03-08 14:59:26 | kennelled | 2 | 121436 | 8 | 18.470 | 6574.8 |
337 | 2025-03-07 14:28:06 | kennelled | 3 | 148641 | 54 | 47.190 | 3149.8 |
336 | 2025-03-06 02:35:17 | kennelled | 1 | 81242 | 3 | 6.656 | 12205.8 |
335 | 2025-03-05 10:48:18 | kennelled | 3 | 148641 | 54 | 35.346 | 4205.3 |
334 | 2025-03-03 12:54:58 | kennelled | 3 | 148641 | 54 | 19.346 | 7683.3 |
333 | 2025-03-03 12:54:52 | kennelled | 2 | 121436 | 8 | 8.593 | 14132.0 |
332 | 2025-03-03 12:40:39 | kennelled | 1 | 81242 | 3 | 3.563 | 22801.6 |
331 | 2025-02-24 01:45:03 | kennelled | 3 | 148641 | 54 | 41.940 | 3544.1 |
330 | 2025-02-24 01:45:00 | kennelled | 3 | 148641 | 54 | 36.130 | 4114.1 |
329 | 2025-02-24 01:44:59 | kennelled | 2 | 121436 | 8 | 10.673 | 11377.9 |
328 | 2025-02-24 01:01:41 | kennelled | 1 | 81242 | 3 | 9.766 | 8318.9 |
327 | 2025-02-01 17:23:51 | kennelled | 1 | 81242 | 3 | 6.420 | 12654.5 |
326 | 2025-01-29 15:16:31 | kennelled | 1 | 81242 | 3 | 6.906 | 11764.0 |
325 | 2025-01-24 21:26:35 | kennelled | 1 | 81242 | 3 | 1.376 | 59042.2 |
324 | 2025-01-10 13:09:37 | kennelled | 1 | 81242 | 3 | 3.470 | 23412.7 |
323 | 2024-12-24 03:43:26 | kennelled | 3 | 148641 | 54 | 47.703 | 3116.0 |
322 | 2024-12-24 03:43:27 | kennelled | 2 | 121436 | 8 | 15.263 | 7956.2 |
321 | 2024-12-21 02:02:55 | kennelled | 3 | 148641 | 54 | 44.000 | 3378.2 |
320 | 2024-12-21 02:03:03 | kennelled | 2 | 121436 | 8 | 11.470 | 10587.3 |
319 | 2024-12-21 02:02:32 | kennelled | 1 | 81242 | 3 | 5.830 | 13935.2 |
318 | 2024-12-20 12:40:51 | kennelled | 1 | 81242 | 3 | 6.283 | 12930.4 |
317 | 2024-12-18 11:48:45 | kennelled | 1 | 81242 | 3 | 6.733 | 12066.2 |
316 | 2024-12-17 09:25:26 | kennelled | 3 | 148641 | 54 | 44.656 | 3328.6 |
315 | 2024-12-15 07:13:10 | kennelled | 3 | 148641 | 54 | 36.953 | 4022.4 |
314 | 2024-12-14 17:34:30 | kennelled | 3 | 148641 | 54 | 35.296 | 4211.3 |
313 | 2024-12-13 19:28:09 | kennelled | 3 | 148641 | 54 | 32.406 | 4586.8 |
312 | 2024-11-26 08:25:13 | kennelled | 2 | 121436 | 8 | 22.456 | 5407.7 |
311 | 2024-11-26 06:28:36 | kennelled | 1 | 81242 | 3 | 6.610 | 12290.8 |
310 | 2024-11-18 23:02:18 | kennelled | 4 | 165329 | 363 | 96.456 | 1714.0 |
309 | 2024-11-18 15:17:24 | kennelled | 4 | 165329 | 363 | 77.060 | 2145.5 |
308 | 2024-11-17 23:40:07 | kennelled | 4 | 165329 | 363 | 58.533 | 2824.5 |
307 | 2024-11-17 23:40:18 | kennelled | 2 | 121436 | 8 | 17.266 | 7033.2 |
306 | 2024-11-17 23:19:57 | kennelled | 1 | 81242 | 3 | 1.313 | 61875.1 |
305 | 2024-11-14 12:41:58 | kennelled | 3 | 148641 | 54 | 18.126 | 8200.4 |
304 | 2024-11-13 21:09:16 | kennelled | 3 | 148641 | 54 | 36.173 | 4109.2 |
303 | 2024-11-13 18:11:56 | kennelled | 2 | 121436 | 8 | 25.923 | 4684.5 |
302 | 2024-11-13 15:08:13 | kennelled | 1 | 81242 | 3 | 3.766 | 21572.5 |
301 | 2024-11-13 05:54:35 | kennelled | 3 | 148641 | 54 | 35.173 | 4226.0 |
300 | 2024-11-12 12:20:30 | kennelled | 3 | 148641 | 54 | 51.953 | 2861.1 |
299 | 2024-11-12 12:20:29 | kennelled | 3 | 148641 | 54 | 33.063 | 4495.7 |
298 | 2024-11-12 12:20:30 | kennelled | 2 | 121436 | 8 | 16.203 | 7494.7 |
297 | 2024-11-06 09:20:21 | kennelled | 1 | 81242 | 3 | 3.890 | 20884.8 |
296 | 2024-10-26 01:26:35 | kennelled | 1 | 81242 | 3 | 5.186 | 15665.6 |
295 | 2024-10-14 06:02:03 | kennelled | 2 | 121436 | 8 | 21.360 | 5685.2 |
294 | 2024-10-14 06:02:05 | kennelled | 2 | 121436 | 8 | 17.796 | 6823.8 |
293 | 2024-10-12 17:52:14 | kennelled | 1 | 81242 | 3 | 6.703 | 12120.2 |
292 | 2024-10-04 06:00:35 | kennelled | 1 | 81242 | 3 | 9.393 | 8649.2 |
291 | 2024-09-29 02:59:38 | kennelled | 1 | 81242 | 3 | 6.783 | 11977.3 |
290 | 2024-09-24 19:14:55 | kennelled | 3 | 148641 | 54 | 55.366 | 2684.7 |
289 | 2024-09-24 19:14:43 | kennelled | 2 | 121436 | 8 | 37.313 | 3254.5 |
288 | 2024-09-24 10:15:58 | kennelled | 3 | 148641 | 54 | 41.346 | 3595.1 |
287 | 2024-09-24 08:05:56 | kennelled | 3 | 148641 | 54 | 64.383 | 2308.7 |
286 | 2024-09-23 13:20:43 | kennelled | 3 | 148641 | 54 | 27.190 | 5466.8 |
285 | 2024-09-13 12:09:09 | kennelled | 3 | 148641 | 54 | 82.316 | 1805.7 |
284 | 2024-09-10 16:52:01 | kennelled | 3 | 148641 | 54 | 76.520 | 1942.5 |
283 | 2024-09-10 16:51:31 | kennelled | 3 | 148641 | 54 | 28.196 | 5271.7 |
282 | 2024-08-21 17:35:22 | kennelled | 3 | 148641 | 54 | 48.626 | 3056.8 |
281 | 2024-08-19 17:21:44 | kennelled | 3 | 148641 | 54 | 66.223 | 2244.6 |
280 | 2024-08-19 11:26:01 | kennelled | 3 | 148641 | 54 | 82.846 | 1794.2 |
279 | 2024-08-19 03:31:41 | kennelled | 1 | 81242 | 3 | 10.500 | 7737.3 |
278 | 2024-08-15 00:47:56 | kennelled | 1 | 81242 | 3 | 15.300 | 5309.9 |