History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"modelling"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
370 | 2025-08-14 11:04:51 | modelling | 1 | 81242 | 3 | 1.486 | 54671.6 |
369 | 2025-08-11 15:06:54 | modelling | 2 | 121436 | 18 | 17.423 | 6969.9 |
368 | 2025-08-11 10:54:28 | modelling | 1 | 81242 | 3 | 8.810 | 9221.6 |
367 | 2025-08-11 08:31:25 | modelling | 3 | 148641 | 136 | 63.316 | 2347.6 |
366 | 2025-08-11 06:58:19 | modelling | 1 | 81242 | 3 | 6.580 | 12346.8 |
365 | 2025-08-09 13:29:09 | modelling | 1 | 81242 | 3 | 6.453 | 12589.8 |
364 | 2025-08-08 10:23:14 | modelling | 1 | 81242 | 3 | 1.436 | 56575.2 |
363 | 2025-07-26 23:03:42 | modelling | 1 | 81242 | 3 | 3.343 | 24302.1 |
362 | 2025-07-23 02:02:31 | modelling | 1 | 81242 | 3 | 3.593 | 22611.2 |
361 | 2025-07-19 11:55:54 | modelling | 1 | 81242 | 3 | 1.250 | 64993.6 |
360 | 2025-07-12 14:29:39 | modelling | 1 | 81242 | 3 | 1.453 | 55913.3 |
359 | 2025-07-11 00:09:40 | modelling | 1 | 81242 | 3 | 4.220 | 19251.7 |
358 | 2025-07-10 15:48:59 | modelling | 1 | 81242 | 3 | 8.220 | 9883.5 |
357 | 2025-07-10 07:20:58 | modelling | 1 | 81242 | 3 | 4.846 | 16764.8 |
356 | 2025-07-01 23:29:45 | modelling | 1 | 81242 | 3 | 3.890 | 20884.8 |
355 | 2025-06-30 03:57:59 | modelling | 1 | 81242 | 3 | 4.343 | 18706.4 |
354 | 2025-06-25 21:56:53 | modelling | 1 | 81242 | 3 | 9.656 | 8413.6 |
353 | 2025-06-24 19:23:06 | modelling | 1 | 81242 | 3 | 2.563 | 31698.0 |
352 | 2025-06-18 17:57:30 | modelling | 1 | 81242 | 3 | 6.420 | 12654.5 |
351 | 2025-06-10 02:14:07 | modelling | 1 | 81242 | 3 | 7.843 | 10358.5 |
350 | 2025-06-10 00:32:39 | modelling | 1 | 81242 | 3 | 7.216 | 11258.6 |
349 | 2025-06-08 13:04:04 | modelling | 1 | 81242 | 3 | 8.733 | 9302.9 |
348 | 2025-06-07 16:07:25 | modelling | 1 | 81242 | 3 | 1.283 | 63321.9 |
347 | 2025-06-03 20:41:55 | modelling | 1 | 81242 | 3 | 3.656 | 22221.6 |
346 | 2025-05-27 06:24:49 | modelling | 1 | 81242 | 3 | 5.876 | 13826.1 |
345 | 2025-05-23 23:01:24 | modelling | 1 | 81242 | 3 | 10.890 | 7460.2 |
344 | 2025-05-15 09:43:34 | modelling | 1 | 81242 | 3 | 3.686 | 22040.7 |
343 | 2025-05-09 15:43:14 | modelling | 2 | 121436 | 18 | 3.423 | 35476.5 |
342 | 2025-05-09 05:44:16 | modelling | 1 | 81242 | 3 | 1.516 | 53589.7 |
341 | 2025-05-08 12:57:24 | modelling | 1 | 81242 | 3 | 3.593 | 22611.2 |
340 | 2025-05-08 05:30:37 | modelling | 1 | 81242 | 3 | 3.656 | 22221.6 |
339 | 2025-05-08 00:42:48 | modelling | 1 | 81242 | 3 | 6.220 | 13061.4 |
338 | 2025-04-29 17:18:21 | modelling | 2 | 121436 | 18 | 11.983 | 10134.0 |
337 | 2025-04-29 05:56:50 | modelling | 3 | 148641 | 136 | 35.770 | 4155.5 |
336 | 2025-04-27 07:26:22 | modelling | 3 | 148641 | 136 | 14.923 | 9960.5 |
335 | 2025-04-26 17:49:50 | modelling | 2 | 121436 | 18 | 9.243 | 13138.2 |
334 | 2025-04-22 21:34:03 | modelling | 1 | 81242 | 3 | 8.753 | 9281.6 |
333 | 2025-04-17 09:13:51 | modelling | 1 | 81242 | 3 | 1.250 | 64993.6 |
332 | 2025-04-14 02:04:52 | modelling | 1 | 81242 | 3 | 3.703 | 21939.5 |
331 | 2025-04-10 23:31:51 | modelling | 1 | 81242 | 3 | 10.470 | 7759.5 |
330 | 2025-04-04 00:33:11 | modelling | 1 | 81242 | 3 | 10.266 | 7913.7 |
329 | 2025-03-31 23:50:06 | modelling | 1 | 81242 | 3 | 3.360 | 24179.2 |
328 | 2025-03-31 14:36:40 | modelling | 1 | 81242 | 3 | 8.640 | 9403.0 |
327 | 2025-03-21 21:52:00 | modelling | 1 | 81242 | 3 | 9.923 | 8187.2 |
326 | 2025-03-16 02:35:48 | modelling | 1 | 81242 | 3 | 3.296 | 24648.7 |
325 | 2025-03-15 05:30:22 | modelling | 3 | 148641 | 136 | 25.750 | 5772.5 |
324 | 2025-03-13 18:02:55 | modelling | 1 | 81242 | 3 | 6.733 | 12066.2 |
323 | 2025-03-13 17:51:48 | modelling | 3 | 148641 | 136 | 24.093 | 6169.5 |
322 | 2025-03-12 12:38:57 | modelling | 1 | 81242 | 3 | 6.300 | 12895.6 |
321 | 2025-03-11 22:17:11 | modelling | 1 | 81242 | 3 | 5.923 | 13716.4 |
320 | 2025-03-11 22:03:07 | modelling | 2 | 121436 | 18 | 3.390 | 35821.8 |
319 | 2025-03-04 03:33:20 | modelling | 3 | 148641 | 136 | 46.923 | 3167.8 |
318 | 2025-02-27 18:39:46 | modelling | 2 | 121436 | 18 | 17.173 | 7071.3 |
317 | 2025-02-27 18:38:58 | modelling | 1 | 81242 | 3 | 4.416 | 18397.2 |
316 | 2025-02-23 05:06:50 | modelling | 2 | 121436 | 18 | 13.233 | 9176.8 |
315 | 2025-02-23 05:02:59 | modelling | 3 | 148641 | 136 | 45.986 | 3232.3 |
314 | 2025-02-20 20:28:29 | modelling | 3 | 148641 | 136 | 35.610 | 4174.1 |
313 | 2025-02-20 18:55:04 | modelling | 3 | 148641 | 136 | 31.236 | 4758.6 |
312 | 2025-02-20 18:55:01 | modelling | 2 | 121436 | 18 | 10.173 | 11937.1 |
311 | 2025-02-20 18:52:42 | modelling | 1 | 81242 | 3 | 3.640 | 22319.2 |
310 | 2025-02-10 17:01:12 | modelling | 1 | 81242 | 3 | 6.923 | 11735.1 |
309 | 2025-01-28 03:14:11 | modelling | 1 | 81242 | 3 | 3.390 | 23965.2 |
308 | 2025-01-26 17:13:21 | modelling | 1 | 81242 | 3 | 1.233 | 65889.7 |
307 | 2025-01-19 13:52:51 | modelling | 1 | 81242 | 3 | 1.390 | 58447.5 |
306 | 2025-01-10 05:43:43 | modelling | 1 | 81242 | 3 | 7.126 | 11400.8 |
305 | 2024-12-27 15:22:43 | modelling | 1 | 81242 | 3 | 7.656 | 10611.5 |
304 | 2024-12-19 17:10:25 | modelling | 1 | 81242 | 3 | 1.266 | 64172.2 |
303 | 2024-12-14 01:36:07 | modelling | 2 | 121436 | 18 | 17.016 | 7136.6 |
302 | 2024-12-13 23:07:18 | modelling | 2 | 121436 | 18 | 17.520 | 6931.3 |
301 | 2024-12-13 23:05:56 | modelling | 1 | 81242 | 3 | 5.406 | 15028.1 |
300 | 2024-12-09 02:58:19 | modelling | 2 | 121436 | 18 | 14.283 | 8502.1 |
299 | 2024-12-09 01:26:27 | modelling | 1 | 81242 | 3 | 1.390 | 58447.5 |
298 | 2024-11-21 15:09:05 | modelling | 3 | 148641 | 136 | 34.750 | 4277.4 |
297 | 2024-11-18 17:45:35 | modelling | 3 | 148641 | 136 | 17.813 | 8344.5 |
296 | 2024-11-18 15:30:43 | modelling | 3 | 148641 | 136 | 32.313 | 4600.0 |
295 | 2024-11-18 04:07:27 | modelling | 3 | 148641 | 136 | 32.373 | 4591.5 |
294 | 2024-11-18 04:07:32 | modelling | 2 | 121436 | 18 | 20.033 | 6061.8 |
293 | 2024-11-18 04:07:03 | modelling | 1 | 81242 | 3 | 6.466 | 12564.5 |
292 | 2024-11-07 13:17:13 | modelling | 1 | 81242 | 3 | 1.233 | 65889.7 |
291 | 2024-11-06 00:00:32 | modelling | 2 | 121436 | 18 | 17.110 | 7097.4 |
290 | 2024-11-05 23:53:35 | modelling | 1 | 81242 | 3 | 3.563 | 22801.6 |
289 | 2024-10-24 17:16:15 | modelling | 1 | 81242 | 3 | 6.533 | 12435.6 |
288 | 2024-10-22 14:52:18 | modelling | 2 | 121436 | 18 | 18.110 | 6705.5 |
287 | 2024-10-17 13:22:11 | modelling | 3 | 148641 | 136 | 36.176 | 4108.8 |
286 | 2024-10-17 13:22:01 | modelling | 2 | 121436 | 18 | 17.640 | 6884.1 |
285 | 2024-10-16 12:49:48 | modelling | 3 | 148641 | 136 | 37.596 | 3953.6 |
284 | 2024-10-16 12:12:00 | modelling | 3 | 148641 | 136 | 46.080 | 3225.7 |
283 | 2024-10-16 07:49:15 | modelling | 3 | 148641 | 136 | 35.143 | 4229.6 |
282 | 2024-10-16 07:49:12 | modelling | 2 | 121436 | 18 | 14.173 | 8568.1 |
281 | 2024-10-15 19:45:48 | modelling | 1 | 81242 | 3 | 2.950 | 27539.7 |
280 | 2024-10-05 06:23:02 | modelling | 1 | 81242 | 3 | 5.673 | 14320.8 |
279 | 2024-09-23 02:19:39 | modelling | 1 | 81242 | 3 | 12.516 | 6491.1 |
278 | 2024-09-13 12:48:12 | modelling | 1 | 81242 | 3 | 4.596 | 17676.7 |
277 | 2024-08-28 11:17:04 | modelling | 1 | 81242 | 3 | 15.360 | 5289.2 |
276 | 2024-08-26 04:05:00 | modelling | 1 | 81242 | 3 | 15.986 | 5082.1 |
275 | 2024-08-21 12:17:03 | modelling | 1 | 81242 | 3 | 8.830 | 9200.7 |
274 | 2024-07-22 01:12:22 | modelling | 1 | 81242 | 3 | 2.656 | 30588.1 |
273 | 2024-07-21 13:09:04 | modelling | 3 | 148641 | 136 | 35.473 | 4190.3 |
272 | 2024-07-21 00:36:05 | modelling | 3 | 148641 | 136 | 13.516 | 10997.4 |
271 | 2024-07-20 23:13:27 | modelling | 3 | 148641 | 136 | 25.643 | 5796.6 |