History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mannequins"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
328 | 2025-09-12 03:26:15 | mannequins | 2 | 108824 | 2 | 3.420 | 31819.9 |
327 | 2025-09-12 01:25:43 | mannequins | 3 | 140603 | 6 | 5.686 | 24727.9 |
326 | 2025-08-28 10:04:46 | mannequins | 4 | 161450 | 58 | 9.936 | 16249.0 |
325 | 2025-08-11 20:17:54 | mannequins | 3 | 140603 | 6 | 14.576 | 9646.2 |
324 | 2025-08-11 08:37:28 | mannequins | 3 | 140603 | 6 | 29.283 | 4801.5 |
323 | 2025-08-11 08:33:47 | mannequins | 2 | 108824 | 2 | 18.580 | 5857.1 |
322 | 2025-08-09 15:23:19 | mannequins | 1 | 67641 | 2 | 2.670 | 25333.7 |
321 | 2025-07-25 07:40:48 | mannequins | 1 | 67641 | 2 | 2.763 | 24481.0 |
320 | 2025-07-25 07:06:10 | mannequins | 1 | 67641 | 2 | 2.456 | 27541.1 |
319 | 2025-07-25 06:32:06 | mannequins | 1 | 67641 | 2 | 5.203 | 13000.4 |
318 | 2025-07-19 05:22:06 | mannequins | 3 | 140603 | 6 | 9.063 | 15514.0 |
317 | 2025-07-15 19:27:36 | mannequins | 2 | 108824 | 2 | 5.470 | 19894.7 |
316 | 2025-06-22 01:29:56 | mannequins | 1 | 67641 | 2 | 2.983 | 22675.5 |
315 | 2025-06-21 19:10:23 | mannequins | 1 | 67641 | 2 | 3.580 | 18894.1 |
314 | 2025-06-19 00:47:38 | mannequins | 1 | 67641 | 2 | 4.453 | 15190.0 |
313 | 2025-06-17 22:42:50 | mannequins | 4 | 161450 | 58 | 65.073 | 2481.1 |
312 | 2025-06-16 05:16:55 | mannequins | 2 | 108824 | 2 | 15.906 | 6841.7 |
311 | 2025-06-15 21:51:55 | mannequins | 4 | 161450 | 58 | 54.190 | 2979.3 |
310 | 2025-06-15 16:12:10 | mannequins | 3 | 140603 | 6 | 6.813 | 20637.5 |
309 | 2025-06-09 07:28:57 | mannequins | 3 | 140603 | 6 | 6.220 | 22605.0 |
308 | 2025-06-07 13:37:23 | mannequins | 3 | 140603 | 6 | 13.236 | 10622.8 |
307 | 2025-05-22 21:08:25 | mannequins | 1 | 67641 | 2 | 1.233 | 54858.9 |
306 | 2025-05-20 10:20:54 | mannequins | 1 | 67641 | 2 | 2.983 | 22675.5 |
305 | 2025-05-16 07:47:40 | mannequins | 3 | 140603 | 6 | 41.533 | 3385.3 |
304 | 2025-05-16 01:38:30 | mannequins | 1 | 67641 | 2 | 5.796 | 11670.3 |
303 | 2025-05-15 13:43:39 | mannequins | 1 | 67641 | 2 | 5.440 | 12434.0 |
302 | 2025-05-13 07:24:14 | mannequins | 3 | 140603 | 6 | 9.766 | 14397.2 |
301 | 2025-05-10 01:00:16 | mannequins | 1 | 67641 | 2 | 3.936 | 17185.2 |
300 | 2025-05-04 08:03:16 | mannequins | 1 | 67641 | 2 | 8.140 | 8309.7 |
299 | 2025-04-02 08:58:19 | mannequins | 1 | 67641 | 2 | 4.420 | 15303.4 |
298 | 2025-03-24 09:26:51 | mannequins | 3 | 140603 | 6 | 32.566 | 4317.5 |
297 | 2025-03-24 05:26:33 | mannequins | 3 | 140603 | 6 | 42.003 | 3347.5 |
296 | 2025-03-16 09:13:56 | mannequins | 4 | 161450 | 58 | 48.876 | 3303.3 |
295 | 2025-03-16 09:13:45 | mannequins | 3 | 140603 | 6 | 33.126 | 4244.5 |
294 | 2025-03-16 09:13:44 | mannequins | 2 | 108824 | 2 | 15.610 | 6971.4 |
293 | 2025-03-16 09:11:44 | mannequins | 1 | 67641 | 2 | 4.266 | 15855.8 |
292 | 2025-03-09 20:15:57 | mannequins | 1 | 67641 | 2 | 5.860 | 11542.8 |
291 | 2025-03-06 09:23:07 | mannequins | 3 | 140603 | 6 | 28.390 | 4952.6 |
290 | 2025-03-06 09:23:06 | mannequins | 2 | 108824 | 2 | 7.720 | 14096.4 |
289 | 2025-03-06 09:18:57 | mannequins | 1 | 67641 | 2 | 5.440 | 12434.0 |
288 | 2025-02-28 06:01:36 | mannequins | 4 | 161450 | 58 | 71.063 | 2271.9 |
287 | 2025-02-26 14:47:38 | mannequins | 1 | 67641 | 2 | 5.653 | 11965.5 |
286 | 2025-02-21 19:18:02 | mannequins | 1 | 67641 | 2 | 6.296 | 10743.5 |
285 | 2025-02-21 19:10:18 | mannequins | 4 | 161450 | 58 | 57.613 | 2802.3 |
284 | 2025-02-15 14:26:57 | mannequins | 4 | 161450 | 58 | 35.000 | 4612.9 |
283 | 2025-02-13 17:17:09 | mannequins | 4 | 161450 | 58 | 55.516 | 2908.2 |
282 | 2025-02-13 17:16:42 | mannequins | 4 | 161450 | 58 | 56.690 | 2847.9 |
281 | 2025-02-13 17:17:05 | mannequins | 2 | 108824 | 2 | 12.253 | 8881.4 |
280 | 2025-02-13 17:11:42 | mannequins | 1 | 67641 | 2 | 7.016 | 9641.0 |
279 | 2025-02-12 00:02:14 | mannequins | 3 | 140603 | 6 | 19.783 | 7107.3 |
278 | 2025-02-08 07:16:23 | mannequins | 1 | 67641 | 2 | 3.576 | 18915.3 |
277 | 2025-01-18 01:51:21 | mannequins | 3 | 140603 | 6 | 30.766 | 4570.1 |
276 | 2025-01-18 01:51:25 | mannequins | 2 | 108824 | 2 | 21.500 | 5061.6 |
275 | 2025-01-18 01:50:06 | mannequins | 1 | 67641 | 2 | 7.016 | 9641.0 |
274 | 2025-01-17 22:08:53 | mannequins | 3 | 140603 | 6 | 31.686 | 4437.4 |
273 | 2025-01-11 23:14:45 | mannequins | 1 | 67641 | 2 | 5.830 | 11602.2 |
272 | 2025-01-09 08:07:45 | mannequins | 3 | 140603 | 6 | 30.110 | 4669.6 |
271 | 2025-01-04 02:59:01 | mannequins | 1 | 67641 | 2 | 2.983 | 22675.5 |
270 | 2024-12-29 18:53:35 | mannequins | 4 | 161450 | 58 | 39.220 | 4116.5 |
269 | 2024-12-29 00:36:25 | mannequins | 4 | 161450 | 58 | 49.173 | 3283.3 |
268 | 2024-12-17 15:32:38 | mannequins | 4 | 161450 | 58 | 66.833 | 2415.7 |
267 | 2024-12-17 04:43:38 | mannequins | 4 | 161450 | 58 | 58.470 | 2761.2 |
266 | 2024-12-16 01:25:58 | mannequins | 1 | 67641 | 2 | 7.500 | 9018.8 |
265 | 2024-12-08 00:48:27 | mannequins | 3 | 140603 | 6 | 29.256 | 4806.0 |
264 | 2024-12-02 14:59:40 | mannequins | 1 | 67641 | 2 | 1.123 | 60232.4 |
263 | 2024-11-24 05:30:03 | mannequins | 3 | 140603 | 6 | 29.720 | 4730.9 |
262 | 2024-11-23 20:56:16 | mannequins | 4 | 161450 | 58 | 63.830 | 2529.4 |
261 | 2024-11-23 20:56:25 | mannequins | 3 | 140603 | 6 | 38.690 | 3634.1 |
260 | 2024-11-23 20:56:29 | mannequins | 2 | 108824 | 2 | 14.953 | 7277.7 |
259 | 2024-11-23 20:54:03 | mannequins | 1 | 67641 | 2 | 2.393 | 28266.2 |
258 | 2024-11-23 01:41:56 | mannequins | 2 | 108824 | 2 | 21.156 | 5143.9 |
257 | 2024-11-23 01:40:09 | mannequins | 3 | 140603 | 6 | 26.813 | 5243.8 |
256 | 2024-11-23 01:38:24 | mannequins | 1 | 67641 | 2 | 3.390 | 19953.1 |
255 | 2024-11-14 06:50:00 | mannequins | 3 | 140603 | 6 | 37.266 | 3773.0 |
254 | 2024-10-24 20:38:49 | mannequins | 3 | 140603 | 6 | 32.483 | 4328.5 |
253 | 2024-10-24 20:38:48 | mannequins | 3 | 140603 | 6 | 31.363 | 4483.1 |
252 | 2024-10-24 20:38:49 | mannequins | 2 | 108824 | 2 | 12.250 | 8883.6 |
251 | 2024-10-24 20:34:24 | mannequins | 1 | 67641 | 2 | 5.640 | 11993.1 |
250 | 2024-10-23 15:03:19 | mannequins | 3 | 140603 | 6 | 38.453 | 3656.5 |
249 | 2024-10-23 14:49:17 | mannequins | 1 | 67641 | 2 | 7.013 | 9645.1 |
248 | 2024-10-22 18:11:39 | mannequins | 1 | 67641 | 2 | 3.000 | 22547.0 |
247 | 2024-10-13 01:29:35 | mannequins | 2 | 108824 | 2 | 23.096 | 4711.8 |
246 | 2024-10-13 01:27:18 | mannequins | 1 | 67641 | 2 | 3.936 | 17185.2 |
245 | 2024-10-09 14:04:18 | mannequins | 3 | 140603 | 6 | 40.610 | 3462.3 |
244 | 2024-09-30 08:00:09 | mannequins | 3 | 140603 | 6 | 73.713 | 1907.4 |
243 | 2024-09-26 11:51:50 | mannequins | 2 | 108824 | 2 | 24.110 | 4513.6 |
242 | 2024-09-20 11:18:27 | mannequins | 3 | 140603 | 6 | 65.566 | 2144.4 |
241 | 2024-09-20 11:18:30 | mannequins | 2 | 108824 | 2 | 30.410 | 3578.6 |
240 | 2024-09-20 11:18:01 | mannequins | 3 | 140603 | 6 | 57.956 | 2426.0 |
239 | 2024-09-20 11:15:47 | mannequins | 1 | 67641 | 2 | 3.560 | 19000.3 |
238 | 2024-08-30 03:52:42 | mannequins | 3 | 140603 | 6 | 54.706 | 2570.2 |
237 | 2024-08-26 15:12:59 | mannequins | 3 | 140603 | 6 | 70.133 | 2004.8 |
236 | 2024-08-22 03:42:03 | mannequins | 4 | 161450 | 58 | 120.290 | 1342.2 |
235 | 2024-08-22 03:42:05 | mannequins | 3 | 140603 | 6 | 43.860 | 3205.7 |
234 | 2024-08-22 03:42:05 | mannequins | 2 | 108824 | 2 | 21.406 | 5083.8 |
233 | 2024-08-22 03:41:04 | mannequins | 1 | 67641 | 2 | 8.063 | 8389.1 |
232 | 2024-08-16 12:32:19 | mannequins | 1 | 67641 | 2 | 4.290 | 15767.1 |
231 | 2024-08-16 05:39:53 | mannequins | 4 | 161450 | 58 | 72.190 | 2236.5 |
230 | 2024-08-14 16:15:23 | mannequins | 1 | 67641 | 2 | 2.110 | 32057.3 |
229 | 2024-08-08 03:02:48 | mannequins | 1 | 67641 | 2 | 2.093 | 32317.7 |