History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"misbiassed"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
334 | 2025-08-26 09:49:27 | misbiassed | 4 | 161450 | 121 | 11.046 | 14616.2 |
333 | 2025-08-26 09:47:53 | misbiassed | 4 | 161450 | 121 | 11.673 | 13831.1 |
332 | 2025-08-22 18:09:10 | misbiassed | 2 | 108824 | 5 | 3.186 | 34156.9 |
331 | 2025-08-15 05:34:04 | misbiassed | 1 | 67641 | 3 | 3.903 | 17330.5 |
330 | 2025-08-14 13:53:19 | misbiassed | 4 | 161450 | 121 | 11.593 | 13926.5 |
329 | 2025-08-09 03:35:14 | misbiassed | 1 | 67641 | 3 | 7.796 | 8676.4 |
328 | 2025-08-09 02:47:24 | misbiassed | 1 | 67641 | 3 | 5.576 | 12130.7 |
327 | 2025-08-08 15:56:35 | misbiassed | 3 | 140603 | 19 | 6.076 | 23140.7 |
326 | 2025-08-08 02:16:12 | misbiassed | 4 | 161450 | 121 | 10.936 | 14763.2 |
325 | 2025-08-07 11:25:19 | misbiassed | 2 | 108824 | 5 | 7.406 | 14694.0 |
324 | 2025-08-07 10:34:34 | misbiassed | 3 | 140603 | 19 | 19.000 | 7400.2 |
323 | 2025-08-07 06:03:17 | misbiassed | 1 | 67641 | 3 | 3.796 | 17819.0 |
322 | 2025-08-04 18:41:41 | misbiassed | 1 | 67641 | 3 | 4.530 | 14931.8 |
321 | 2025-08-03 11:32:42 | misbiassed | 3 | 140603 | 19 | 15.796 | 8901.2 |
320 | 2025-08-03 05:51:15 | misbiassed | 3 | 140603 | 19 | 5.390 | 26085.9 |
319 | 2025-08-01 20:03:35 | misbiassed | 1 | 67641 | 3 | 6.016 | 11243.5 |
318 | 2025-07-30 20:17:52 | misbiassed | 3 | 140603 | 19 | 15.533 | 9051.9 |
317 | 2025-07-26 13:53:58 | misbiassed | 1 | 67641 | 3 | 5.920 | 11425.8 |
316 | 2025-07-23 00:24:45 | misbiassed | 1 | 67641 | 3 | 3.016 | 22427.4 |
315 | 2025-07-20 15:57:35 | misbiassed | 1 | 67641 | 3 | 1.236 | 54725.7 |
314 | 2025-07-10 06:44:45 | misbiassed | 1 | 67641 | 3 | 2.826 | 23935.2 |
313 | 2025-07-07 19:25:09 | misbiassed | 1 | 67641 | 3 | 1.186 | 57032.9 |
312 | 2025-06-26 16:28:34 | misbiassed | 1 | 67641 | 3 | 4.780 | 14150.8 |
311 | 2025-06-25 06:50:13 | misbiassed | 1 | 67641 | 3 | 4.830 | 14004.3 |
310 | 2025-06-04 07:38:30 | misbiassed | 4 | 161450 | 121 | 54.850 | 2943.5 |
309 | 2025-06-03 00:04:48 | misbiassed | 3 | 140603 | 19 | 6.986 | 20126.4 |
308 | 2025-05-30 06:03:32 | misbiassed | 1 | 67641 | 3 | 1.063 | 63632.2 |
307 | 2025-05-29 10:40:54 | misbiassed | 4 | 161450 | 121 | 42.766 | 3775.2 |
306 | 2025-05-28 21:42:29 | misbiassed | 1 | 67641 | 3 | 3.033 | 22301.7 |
305 | 2025-05-28 11:14:48 | misbiassed | 4 | 161450 | 121 | 19.780 | 8162.3 |
304 | 2025-05-27 00:37:23 | misbiassed | 1 | 67641 | 3 | 5.436 | 12443.2 |
303 | 2025-05-25 05:06:45 | misbiassed | 4 | 161450 | 121 | 11.216 | 14394.6 |
302 | 2025-05-24 22:58:18 | misbiassed | 4 | 161450 | 121 | 15.220 | 10607.8 |
301 | 2025-05-09 01:24:58 | misbiassed | 1 | 67641 | 3 | 1.046 | 64666.3 |
300 | 2025-05-08 22:39:04 | misbiassed | 4 | 161450 | 121 | 12.000 | 13454.2 |
299 | 2025-05-08 07:04:38 | misbiassed | 2 | 108824 | 5 | 9.043 | 12034.1 |
298 | 2025-05-08 01:44:09 | misbiassed | 3 | 140603 | 19 | 21.486 | 6543.9 |
297 | 2025-05-07 15:38:38 | misbiassed | 1 | 67641 | 3 | 1.233 | 54858.9 |
296 | 2025-04-15 18:25:55 | misbiassed | 1 | 67641 | 3 | 1.186 | 57032.9 |
295 | 2025-04-06 08:49:25 | misbiassed | 1 | 67641 | 3 | 5.750 | 11763.7 |
294 | 2025-03-22 07:25:00 | misbiassed | 2 | 108824 | 5 | 12.360 | 8804.5 |
293 | 2025-03-17 08:01:43 | misbiassed | 1 | 67641 | 3 | 5.563 | 12159.1 |
292 | 2025-03-17 07:59:57 | misbiassed | 3 | 140603 | 19 | 17.596 | 7990.6 |
291 | 2025-03-16 19:20:24 | misbiassed | 3 | 140603 | 19 | 31.910 | 4406.2 |
290 | 2025-03-16 19:20:20 | misbiassed | 2 | 108824 | 5 | 12.766 | 8524.5 |
289 | 2025-03-13 16:34:41 | misbiassed | 1 | 67641 | 3 | 8.266 | 8183.0 |
288 | 2025-03-11 19:55:18 | misbiassed | 4 | 161450 | 121 | 57.033 | 2830.8 |
287 | 2025-03-08 11:37:59 | misbiassed | 4 | 161450 | 121 | 40.233 | 4012.9 |
286 | 2025-03-08 10:33:40 | misbiassed | 4 | 161450 | 121 | 62.786 | 2571.4 |
285 | 2025-03-08 04:02:49 | misbiassed | 4 | 161450 | 121 | 59.566 | 2710.4 |
284 | 2025-03-08 02:24:28 | misbiassed | 4 | 161450 | 121 | 70.516 | 2289.6 |
283 | 2025-03-08 02:24:27 | misbiassed | 3 | 140603 | 19 | 26.440 | 5317.8 |
282 | 2025-03-08 02:24:23 | misbiassed | 2 | 108824 | 5 | 15.020 | 7245.3 |
281 | 2025-03-08 02:22:28 | misbiassed | 1 | 67641 | 3 | 5.343 | 12659.7 |
280 | 2025-03-07 11:59:35 | misbiassed | 1 | 67641 | 3 | 3.830 | 17660.8 |
279 | 2025-03-04 11:57:21 | misbiassed | 1 | 67641 | 3 | 4.440 | 15234.5 |
278 | 2025-02-10 10:50:47 | misbiassed | 3 | 140603 | 19 | 25.316 | 5553.9 |
277 | 2025-02-10 10:50:46 | misbiassed | 2 | 108824 | 5 | 9.080 | 11985.0 |
276 | 2025-02-10 10:11:19 | misbiassed | 1 | 67641 | 3 | 1.813 | 37308.9 |
275 | 2025-02-10 08:23:54 | misbiassed | 3 | 140603 | 19 | 31.580 | 4452.3 |
274 | 2025-02-10 08:23:49 | misbiassed | 2 | 108824 | 5 | 8.016 | 13575.8 |
273 | 2025-02-10 08:03:24 | misbiassed | 1 | 67641 | 3 | 1.093 | 61885.6 |
272 | 2025-02-03 05:07:07 | misbiassed | 4 | 161450 | 121 | 65.333 | 2471.2 |
271 | 2025-02-02 20:16:09 | misbiassed | 4 | 161450 | 121 | 68.736 | 2348.8 |
270 | 2025-01-31 18:54:24 | misbiassed | 1 | 67641 | 3 | 3.126 | 21638.2 |
269 | 2025-01-25 21:18:26 | misbiassed | 4 | 161450 | 121 | 12.403 | 13017.0 |
268 | 2025-01-24 01:12:18 | misbiassed | 3 | 140603 | 19 | 28.033 | 5015.6 |
267 | 2025-01-16 05:42:47 | misbiassed | 1 | 67641 | 3 | 7.876 | 8588.2 |
266 | 2025-01-11 06:47:38 | misbiassed | 3 | 140603 | 19 | 35.500 | 3960.6 |
265 | 2025-01-09 23:24:32 | misbiassed | 2 | 108824 | 5 | 14.860 | 7323.3 |
264 | 2025-01-09 22:45:06 | misbiassed | 1 | 67641 | 3 | 1.216 | 55625.8 |
263 | 2025-01-09 07:47:21 | misbiassed | 3 | 140603 | 19 | 39.846 | 3528.7 |
262 | 2025-01-09 01:20:57 | misbiassed | 3 | 140603 | 19 | 29.066 | 4837.4 |
261 | 2025-01-09 01:20:58 | misbiassed | 2 | 108824 | 5 | 15.190 | 7164.2 |
260 | 2025-01-09 01:16:02 | misbiassed | 1 | 67641 | 3 | 5.126 | 13195.7 |
259 | 2025-01-03 11:35:51 | misbiassed | 4 | 161450 | 121 | 49.660 | 3251.1 |
258 | 2025-01-01 00:44:57 | misbiassed | 4 | 161450 | 121 | 55.753 | 2895.8 |
257 | 2024-12-31 11:50:51 | misbiassed | 4 | 161450 | 121 | 65.143 | 2478.4 |
256 | 2024-12-31 11:48:12 | misbiassed | 1 | 67641 | 3 | 8.076 | 8375.6 |
255 | 2024-12-19 04:27:04 | misbiassed | 2 | 108824 | 5 | 13.440 | 8097.0 |
254 | 2024-12-16 21:10:28 | misbiassed | 3 | 140603 | 19 | 27.780 | 5061.3 |
253 | 2024-12-16 21:10:36 | misbiassed | 2 | 108824 | 5 | 15.860 | 6861.5 |
252 | 2024-12-16 21:06:52 | misbiassed | 1 | 67641 | 3 | 1.203 | 56226.9 |
251 | 2024-12-11 21:26:44 | misbiassed | 3 | 140603 | 19 | 33.220 | 4232.5 |
250 | 2024-12-10 11:21:01 | misbiassed | 2 | 108824 | 5 | 18.640 | 5838.2 |
249 | 2024-12-10 11:20:42 | misbiassed | 3 | 140603 | 19 | 32.330 | 4349.0 |
248 | 2024-12-10 11:16:32 | misbiassed | 1 | 67641 | 3 | 1.560 | 43359.6 |
247 | 2024-11-30 10:41:09 | misbiassed | 3 | 140603 | 19 | 35.253 | 3988.4 |
246 | 2024-11-30 10:41:13 | misbiassed | 2 | 108824 | 5 | 24.843 | 4380.5 |
245 | 2024-11-30 10:40:53 | misbiassed | 3 | 140603 | 19 | 39.610 | 3549.7 |
244 | 2024-11-30 09:54:21 | misbiassed | 1 | 67641 | 3 | 1.060 | 63812.3 |
243 | 2024-11-22 00:39:49 | misbiassed | 1 | 67641 | 3 | 7.860 | 8605.7 |
242 | 2024-11-04 23:48:25 | misbiassed | 1 | 67641 | 3 | 7.640 | 8853.5 |
241 | 2024-11-03 02:25:34 | misbiassed | 1 | 67641 | 3 | 6.283 | 10765.7 |
240 | 2024-10-25 21:28:05 | misbiassed | 3 | 140603 | 19 | 45.690 | 3077.3 |
239 | 2024-10-25 21:27:49 | misbiassed | 3 | 140603 | 19 | 32.263 | 4358.0 |
238 | 2024-10-25 21:28:05 | misbiassed | 2 | 108824 | 5 | 13.890 | 7834.7 |
237 | 2024-10-25 21:22:44 | misbiassed | 1 | 67641 | 3 | 1.843 | 36701.6 |
236 | 2024-10-24 16:32:05 | misbiassed | 3 | 140603 | 19 | 50.143 | 2804.0 |
235 | 2024-10-14 09:04:33 | misbiassed | 3 | 140603 | 19 | 28.206 | 4984.9 |