History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"decollates"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
363 | 2025-08-25 14:20:15 | decollates | 2 | 108824 | 9 | 8.763 | 12418.6 |
362 | 2025-08-24 22:43:45 | decollates | 3 | 140603 | 44 | 41.020 | 3427.7 |
361 | 2025-08-24 05:43:49 | decollates | 1 | 67641 | 4 | 1.093 | 61885.6 |
360 | 2025-08-18 22:18:00 | decollates | 1 | 67641 | 4 | 2.750 | 24596.7 |
359 | 2025-08-17 08:11:54 | decollates | 3 | 140603 | 44 | 24.453 | 5749.9 |
358 | 2025-08-17 06:13:05 | decollates | 1 | 67641 | 4 | 3.936 | 17185.2 |
357 | 2025-08-16 17:55:24 | decollates | 3 | 140603 | 44 | 11.436 | 12294.8 |
356 | 2025-08-15 09:57:32 | decollates | 3 | 140603 | 44 | 30.346 | 4633.3 |
355 | 2025-08-14 22:31:55 | decollates | 2 | 108824 | 9 | 8.346 | 13039.1 |
354 | 2025-08-14 19:13:35 | decollates | 3 | 140603 | 44 | 30.596 | 4595.5 |
353 | 2025-08-14 00:17:16 | decollates | 1 | 67641 | 4 | 1.156 | 58513.0 |
352 | 2025-07-15 14:49:50 | decollates | 1 | 67641 | 4 | 2.766 | 24454.4 |
351 | 2025-07-14 04:17:47 | decollates | 1 | 67641 | 4 | 6.063 | 11156.4 |
350 | 2025-07-13 23:14:27 | decollates | 1 | 67641 | 4 | 3.013 | 22449.7 |
349 | 2025-07-08 07:38:13 | decollates | 3 | 140603 | 44 | 37.396 | 3759.8 |
348 | 2025-07-02 09:57:45 | decollates | 3 | 140603 | 44 | 48.923 | 2874.0 |
347 | 2025-07-02 07:04:26 | decollates | 1 | 67641 | 4 | 6.670 | 10141.1 |
346 | 2025-06-30 21:14:15 | decollates | 1 | 67641 | 4 | 1.203 | 56226.9 |
345 | 2025-06-30 09:14:46 | decollates | 3 | 140603 | 44 | 29.723 | 4730.4 |
344 | 2025-06-28 01:26:22 | decollates | 1 | 67641 | 4 | 5.346 | 12652.6 |
343 | 2025-06-26 19:29:55 | decollates | 3 | 140603 | 44 | 19.423 | 7239.0 |
342 | 2025-06-24 14:27:11 | decollates | 2 | 108824 | 9 | 15.393 | 7069.7 |
341 | 2025-06-24 08:39:00 | decollates | 4 | 161450 | 341 | 64.440 | 2505.4 |
340 | 2025-06-24 00:28:27 | decollates | 3 | 140603 | 44 | 24.300 | 5786.1 |
339 | 2025-06-24 00:26:09 | decollates | 4 | 161450 | 341 | 58.736 | 2748.7 |
338 | 2025-06-23 23:58:49 | decollates | 4 | 161450 | 341 | 78.577 | 2054.7 |
337 | 2025-06-23 05:49:39 | decollates | 1 | 67641 | 4 | 2.546 | 26567.6 |
336 | 2025-06-22 17:38:49 | decollates | 4 | 161450 | 341 | 62.896 | 2566.9 |
335 | 2025-06-21 18:59:17 | decollates | 4 | 161450 | 341 | 33.973 | 4752.3 |
334 | 2025-06-20 14:16:57 | decollates | 4 | 161450 | 341 | 54.253 | 2975.9 |
333 | 2025-06-12 01:10:12 | decollates | 4 | 161450 | 341 | 56.296 | 2867.9 |
332 | 2025-06-09 22:58:52 | decollates | 1 | 67641 | 4 | 5.690 | 11887.7 |
331 | 2025-06-08 23:32:28 | decollates | 1 | 67641 | 4 | 1.046 | 64666.3 |
330 | 2025-05-29 04:01:04 | decollates | 1 | 67641 | 4 | 5.466 | 12374.9 |
329 | 2025-05-21 19:02:32 | decollates | 4 | 161450 | 341 | 11.716 | 13780.3 |
328 | 2025-05-21 12:26:10 | decollates | 4 | 161450 | 341 | 52.550 | 3072.3 |
327 | 2025-05-20 11:03:28 | decollates | 4 | 161450 | 341 | 50.346 | 3206.8 |
326 | 2025-05-20 10:17:23 | decollates | 4 | 161450 | 341 | 56.206 | 2872.5 |
325 | 2025-05-20 06:10:11 | decollates | 1 | 67641 | 4 | 4.796 | 14103.6 |
324 | 2025-05-19 23:58:14 | decollates | 4 | 161450 | 341 | 45.046 | 3584.1 |
323 | 2025-05-18 00:22:14 | decollates | 4 | 161450 | 341 | 65.410 | 2468.3 |
322 | 2025-05-17 14:20:15 | decollates | 4 | 161450 | 341 | 59.626 | 2707.7 |
321 | 2025-05-10 07:20:49 | decollates | 1 | 67641 | 4 | 5.423 | 12473.0 |
320 | 2025-05-09 22:42:49 | decollates | 1 | 67641 | 4 | 3.470 | 19493.1 |
319 | 2025-05-06 15:12:14 | decollates | 1 | 67641 | 4 | 3.923 | 17242.2 |
318 | 2025-04-30 01:43:11 | decollates | 1 | 67641 | 4 | 7.716 | 8766.3 |
317 | 2025-04-01 07:28:37 | decollates | 1 | 67641 | 4 | 5.533 | 12225.0 |
316 | 2025-04-01 00:45:08 | decollates | 4 | 161450 | 341 | 46.563 | 3467.3 |
315 | 2025-03-27 16:50:52 | decollates | 1 | 67641 | 4 | 5.970 | 11330.2 |
314 | 2025-03-26 19:24:55 | decollates | 4 | 161450 | 341 | 9.656 | 16720.2 |
313 | 2025-03-26 08:33:21 | decollates | 2 | 108824 | 9 | 3.283 | 33147.7 |
312 | 2025-03-24 19:24:57 | decollates | 3 | 140603 | 44 | 5.953 | 23618.8 |
311 | 2025-03-19 22:52:42 | decollates | 1 | 67641 | 4 | 6.983 | 9686.5 |
310 | 2025-03-12 07:02:38 | decollates | 4 | 161450 | 341 | 52.923 | 3050.7 |
309 | 2025-03-11 17:30:13 | decollates | 2 | 108824 | 9 | 11.906 | 9140.3 |
308 | 2025-03-11 17:29:53 | decollates | 3 | 140603 | 44 | 27.423 | 5127.2 |
307 | 2025-03-11 17:28:46 | decollates | 1 | 67641 | 4 | 5.326 | 12700.2 |
306 | 2025-03-11 15:18:16 | decollates | 4 | 161450 | 341 | 49.770 | 3243.9 |
305 | 2025-03-11 12:00:44 | decollates | 1 | 67641 | 4 | 5.810 | 11642.2 |
304 | 2025-03-11 03:27:44 | decollates | 2 | 108824 | 9 | 15.766 | 6902.4 |
303 | 2025-03-04 08:04:05 | decollates | 4 | 161450 | 341 | 57.000 | 2832.5 |
302 | 2025-03-03 20:18:17 | decollates | 4 | 161450 | 341 | 54.380 | 2968.9 |
301 | 2025-03-01 17:45:57 | decollates | 3 | 140603 | 44 | 23.330 | 6026.7 |
300 | 2025-03-01 17:44:55 | decollates | 1 | 67641 | 4 | 2.936 | 23038.5 |
299 | 2025-02-28 18:27:30 | decollates | 3 | 140603 | 44 | 38.900 | 3614.5 |
298 | 2025-02-28 09:48:40 | decollates | 3 | 140603 | 44 | 10.220 | 13757.6 |
297 | 2025-02-24 10:15:39 | decollates | 1 | 67641 | 4 | 1.076 | 62863.4 |
296 | 2025-02-16 11:10:56 | decollates | 3 | 140603 | 44 | 48.033 | 2927.2 |
295 | 2025-02-09 10:53:42 | decollates | 2 | 108824 | 9 | 22.000 | 4946.5 |
294 | 2025-02-08 16:28:10 | decollates | 4 | 161450 | 341 | 62.956 | 2564.5 |
293 | 2025-02-08 16:28:06 | decollates | 3 | 140603 | 44 | 31.643 | 4443.4 |
292 | 2025-02-08 16:27:59 | decollates | 2 | 108824 | 9 | 15.173 | 7172.2 |
291 | 2025-02-08 16:23:05 | decollates | 1 | 67641 | 4 | 4.733 | 14291.4 |
290 | 2025-02-07 10:38:19 | decollates | 3 | 140603 | 44 | 14.050 | 10007.3 |
289 | 2025-02-06 23:31:56 | decollates | 3 | 140603 | 44 | 42.096 | 3340.1 |
288 | 2025-02-05 15:22:06 | decollates | 4 | 161450 | 341 | 70.316 | 2296.1 |
287 | 2025-01-29 11:59:18 | decollates | 1 | 67641 | 4 | 5.780 | 11702.6 |
286 | 2025-01-29 11:57:03 | decollates | 4 | 161450 | 341 | 52.313 | 3086.2 |
285 | 2025-01-18 19:36:56 | decollates | 4 | 161450 | 341 | 38.473 | 4196.4 |
284 | 2025-01-18 19:37:02 | decollates | 2 | 108824 | 9 | 16.080 | 6767.7 |
283 | 2025-01-18 19:34:33 | decollates | 1 | 67641 | 4 | 6.030 | 11217.4 |
282 | 2025-01-13 21:19:48 | decollates | 1 | 67641 | 4 | 3.156 | 21432.5 |
281 | 2025-01-11 05:22:54 | decollates | 3 | 140603 | 44 | 27.873 | 5044.4 |
280 | 2025-01-08 18:18:06 | decollates | 2 | 108824 | 9 | 22.470 | 4843.1 |
279 | 2025-01-08 18:17:57 | decollates | 3 | 140603 | 44 | 23.173 | 6067.5 |
278 | 2025-01-08 18:15:12 | decollates | 1 | 67641 | 4 | 5.343 | 12659.7 |
277 | 2025-01-04 06:02:00 | decollates | 3 | 140603 | 44 | 36.766 | 3824.3 |
276 | 2024-12-30 10:10:32 | decollates | 3 | 140603 | 44 | 32.436 | 4334.8 |
275 | 2024-12-30 10:10:21 | decollates | 3 | 140603 | 44 | 31.593 | 4450.4 |
274 | 2024-12-30 10:10:23 | decollates | 2 | 108824 | 9 | 14.516 | 7496.8 |
273 | 2024-12-30 10:08:34 | decollates | 1 | 67641 | 4 | 3.783 | 17880.3 |
272 | 2024-12-14 17:58:21 | decollates | 1 | 67641 | 4 | 5.733 | 11798.5 |
271 | 2024-12-06 05:26:56 | decollates | 3 | 140603 | 44 | 32.453 | 4332.5 |
270 | 2024-12-06 05:26:54 | decollates | 3 | 140603 | 44 | 30.983 | 4538.1 |
269 | 2024-12-06 05:26:55 | decollates | 2 | 108824 | 9 | 15.733 | 6916.9 |
268 | 2024-12-06 05:25:04 | decollates | 1 | 67641 | 4 | 6.140 | 11016.4 |
267 | 2024-12-03 01:06:11 | decollates | 3 | 140603 | 44 | 33.143 | 4242.3 |
266 | 2024-11-29 10:47:53 | decollates | 1 | 67641 | 4 | 1.376 | 49157.7 |
265 | 2024-11-25 19:31:51 | decollates | 3 | 140603 | 44 | 34.350 | 4093.2 |
264 | 2024-11-14 17:51:50 | decollates | 2 | 108824 | 9 | 22.750 | 4783.5 |