History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"biasness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
345 | 2025-07-17 14:56:04 | biasness | 1 | 82945 | 1 | 5.796 | 14310.7 |
344 | 2025-07-13 10:50:08 | biasness | 1 | 82945 | 1 | 2.296 | 36125.9 |
343 | 2025-07-09 07:50:27 | biasness | 1 | 82945 | 1 | 1.500 | 55296.7 |
342 | 2025-07-07 02:21:30 | biasness | 1 | 82945 | 1 | 5.063 | 16382.6 |
341 | 2025-07-05 11:17:55 | biasness | 1 | 82945 | 1 | 10.330 | 8029.5 |
340 | 2025-06-30 10:08:16 | biasness | 1 | 82945 | 1 | 4.640 | 17876.1 |
339 | 2025-06-16 17:20:44 | biasness | 1 | 82945 | 1 | 7.686 | 10791.7 |
338 | 2025-06-11 23:22:51 | biasness | 1 | 82945 | 1 | 5.140 | 16137.2 |
337 | 2025-06-07 10:25:15 | biasness | 1 | 82945 | 1 | 5.703 | 14544.1 |
336 | 2025-06-02 10:03:55 | biasness | 1 | 82945 | 1 | 6.936 | 11958.6 |
335 | 2025-06-02 02:29:03 | biasness | 1 | 82945 | 1 | 6.923 | 11981.1 |
334 | 2025-05-29 01:21:16 | biasness | 1 | 82945 | 1 | 3.533 | 23477.2 |
333 | 2025-05-22 03:17:01 | biasness | 1 | 82945 | 1 | 7.576 | 10948.4 |
332 | 2025-05-13 16:25:44 | biasness | 3 | 146162 | 171 | 49.643 | 2944.3 |
331 | 2025-05-07 23:35:15 | biasness | 1 | 82945 | 1 | 6.876 | 12063.0 |
330 | 2025-05-07 08:22:03 | biasness | 1 | 82945 | 1 | 1.470 | 56425.2 |
329 | 2025-05-06 10:01:07 | biasness | 1 | 82945 | 1 | 7.740 | 10716.4 |
328 | 2025-04-30 09:47:28 | biasness | 1 | 82945 | 1 | 3.843 | 21583.4 |
327 | 2025-04-28 10:20:14 | biasness | 1 | 82945 | 1 | 7.190 | 11536.2 |
326 | 2025-04-27 14:07:36 | biasness | 1 | 82945 | 1 | 1.530 | 54212.4 |
325 | 2025-04-26 01:52:16 | biasness | 3 | 146162 | 171 | 41.863 | 3491.4 |
324 | 2025-04-25 14:36:04 | biasness | 3 | 146162 | 171 | 36.060 | 4053.3 |
323 | 2025-04-24 21:57:28 | biasness | 3 | 146162 | 171 | 6.533 | 22372.9 |
322 | 2025-04-24 11:32:11 | biasness | 3 | 146162 | 171 | 33.033 | 4424.7 |
321 | 2025-04-21 16:54:23 | biasness | 3 | 146162 | 171 | 40.843 | 3578.6 |
320 | 2025-04-20 14:25:53 | biasness | 3 | 146162 | 171 | 32.066 | 4558.2 |
319 | 2025-04-20 02:04:16 | biasness | 1 | 82945 | 1 | 5.063 | 16382.6 |
318 | 2025-04-19 03:02:39 | biasness | 3 | 146162 | 171 | 7.686 | 19016.7 |
317 | 2025-04-04 06:39:58 | biasness | 1 | 82945 | 1 | 6.780 | 12233.8 |
316 | 2025-04-01 23:00:53 | biasness | 1 | 82945 | 1 | 6.766 | 12259.1 |
315 | 2025-03-29 12:09:57 | biasness | 2 | 121059 | 9 | 10.343 | 11704.4 |
314 | 2025-03-28 11:45:25 | biasness | 1 | 82945 | 1 | 3.436 | 24140.0 |
313 | 2025-03-26 01:52:22 | biasness | 3 | 146162 | 171 | 34.163 | 4278.4 |
312 | 2025-03-24 11:44:43 | biasness | 1 | 82945 | 1 | 5.453 | 15210.9 |
311 | 2025-03-23 14:09:11 | biasness | 3 | 146162 | 171 | 58.160 | 2513.1 |
310 | 2025-03-20 04:08:48 | biasness | 1 | 82945 | 1 | 5.750 | 14425.2 |
309 | 2025-03-20 04:01:05 | biasness | 1 | 82945 | 1 | 9.326 | 8894.0 |
308 | 2025-03-17 13:45:33 | biasness | 1 | 82945 | 1 | 5.796 | 14310.7 |
307 | 2025-03-15 01:47:30 | biasness | 1 | 82945 | 1 | 6.280 | 13207.8 |
306 | 2025-02-23 04:24:44 | biasness | 3 | 146162 | 171 | 29.360 | 4978.3 |
305 | 2025-02-23 00:10:41 | biasness | 3 | 146162 | 171 | 43.080 | 3392.8 |
304 | 2025-02-22 06:33:15 | biasness | 3 | 146162 | 171 | 38.410 | 3805.3 |
303 | 2025-02-22 06:33:13 | biasness | 2 | 121059 | 9 | 17.626 | 6868.2 |
302 | 2025-02-22 06:32:47 | biasness | 1 | 82945 | 1 | 6.563 | 12638.3 |
301 | 2025-02-07 09:20:10 | biasness | 2 | 121059 | 9 | 16.186 | 7479.2 |
300 | 2025-02-07 09:02:01 | biasness | 1 | 82945 | 1 | 1.296 | 64000.8 |
299 | 2025-02-01 12:54:16 | biasness | 3 | 146162 | 171 | 36.563 | 3997.5 |
298 | 2025-02-01 12:54:14 | biasness | 2 | 121059 | 9 | 17.626 | 6868.2 |
297 | 2025-02-01 12:54:08 | biasness | 1 | 82945 | 1 | 5.500 | 15080.9 |
296 | 2025-01-17 23:03:57 | biasness | 1 | 82945 | 1 | 10.033 | 8267.2 |
295 | 2025-01-16 05:58:20 | biasness | 3 | 146162 | 171 | 34.250 | 4267.5 |
294 | 2025-01-15 05:48:35 | biasness | 3 | 146162 | 171 | 35.753 | 4088.1 |
293 | 2025-01-14 08:07:39 | biasness | 3 | 146162 | 171 | 15.093 | 9684.1 |
292 | 2025-01-14 08:07:40 | biasness | 2 | 121059 | 9 | 7.813 | 15494.6 |
291 | 2025-01-14 08:07:36 | biasness | 1 | 82945 | 1 | 8.000 | 10368.1 |
290 | 2025-01-02 23:08:48 | biasness | 1 | 82945 | 1 | 4.810 | 17244.3 |
289 | 2024-12-29 03:13:02 | biasness | 1 | 82945 | 1 | 6.750 | 12288.1 |
288 | 2024-12-19 18:56:26 | biasness | 2 | 121059 | 9 | 17.420 | 6949.4 |
287 | 2024-12-12 15:59:04 | biasness | 1 | 82945 | 1 | 6.560 | 12644.1 |
286 | 2024-12-10 14:37:56 | biasness | 3 | 146162 | 171 | 32.946 | 4436.4 |
285 | 2024-12-10 00:47:42 | biasness | 2 | 121059 | 9 | 17.190 | 7042.4 |
284 | 2024-12-10 00:47:10 | biasness | 3 | 146162 | 171 | 35.813 | 4081.3 |
283 | 2024-12-09 15:58:53 | biasness | 3 | 146162 | 171 | 34.780 | 4202.5 |
282 | 2024-12-09 15:58:52 | biasness | 2 | 121059 | 9 | 17.343 | 6980.3 |
281 | 2024-12-09 15:58:24 | biasness | 1 | 82945 | 1 | 5.593 | 14830.1 |
280 | 2024-11-29 00:08:21 | biasness | 3 | 146162 | 171 | 28.440 | 5139.3 |
279 | 2024-11-29 00:06:56 | biasness | 1 | 82945 | 1 | 5.030 | 16490.1 |
278 | 2024-11-28 18:11:36 | biasness | 1 | 82945 | 1 | 3.513 | 23610.9 |
277 | 2024-11-10 21:03:58 | biasness | 2 | 121059 | 9 | 25.516 | 4744.4 |
276 | 2024-11-09 10:08:48 | biasness | 2 | 121059 | 9 | 3.733 | 32429.4 |
275 | 2024-11-08 06:37:55 | biasness | 2 | 121059 | 9 | 16.673 | 7260.8 |
274 | 2024-11-08 05:48:03 | biasness | 1 | 82945 | 1 | 1.266 | 65517.4 |
273 | 2024-11-08 04:28:16 | biasness | 3 | 146162 | 171 | 10.373 | 14090.6 |
272 | 2024-11-07 20:54:22 | biasness | 3 | 146162 | 171 | 39.753 | 3676.8 |
271 | 2024-11-07 20:54:20 | biasness | 2 | 121059 | 9 | 14.983 | 8079.8 |
270 | 2024-11-07 20:54:19 | biasness | 1 | 82945 | 1 | 8.313 | 9977.7 |
269 | 2024-10-29 14:39:13 | biasness | 1 | 82945 | 1 | 9.923 | 8358.9 |
268 | 2024-10-26 19:49:27 | biasness | 1 | 82945 | 1 | 6.673 | 12429.9 |
267 | 2024-10-09 04:52:22 | biasness | 3 | 146162 | 171 | 44.656 | 3273.1 |
266 | 2024-10-08 17:55:23 | biasness | 1 | 82945 | 1 | 7.343 | 11295.8 |
265 | 2024-10-08 15:15:43 | biasness | 2 | 121059 | 9 | 3.656 | 33112.4 |
264 | 2024-10-08 15:12:22 | biasness | 3 | 146162 | 171 | 7.563 | 19325.9 |
263 | 2024-10-07 08:25:16 | biasness | 3 | 146162 | 171 | 32.126 | 4549.6 |
262 | 2024-10-07 08:25:14 | biasness | 2 | 121059 | 9 | 7.046 | 17181.2 |
261 | 2024-10-07 08:25:10 | biasness | 1 | 82945 | 1 | 2.953 | 28088.4 |
260 | 2024-09-22 23:21:53 | biasness | 1 | 82945 | 1 | 15.623 | 5309.2 |
259 | 2024-09-22 09:26:08 | biasness | 3 | 146162 | 171 | 62.520 | 2337.8 |
258 | 2024-09-21 23:48:36 | biasness | 3 | 146162 | 171 | 103.976 | 1405.7 |
257 | 2024-09-15 16:53:23 | biasness | 1 | 82945 | 1 | 12.156 | 6823.4 |
256 | 2024-09-06 22:12:03 | biasness | 3 | 146162 | 171 | 73.126 | 1998.8 |
255 | 2024-09-06 13:16:30 | biasness | 3 | 146162 | 171 | 49.566 | 2948.8 |
254 | 2024-09-06 13:16:30 | biasness | 2 | 121059 | 9 | 22.140 | 5467.9 |
253 | 2024-09-06 13:16:16 | biasness | 1 | 82945 | 1 | 6.890 | 12038.5 |
252 | 2024-08-12 09:09:35 | biasness | 1 | 82945 | 1 | 9.373 | 8849.4 |
251 | 2024-08-10 00:41:39 | biasness | 1 | 82945 | 1 | 2.703 | 30686.3 |
250 | 2024-07-30 20:47:06 | biasness | 1 | 82945 | 1 | 5.406 | 15343.1 |
249 | 2024-07-30 18:40:44 | biasness | 1 | 82945 | 1 | 5.966 | 13903.0 |
248 | 2024-07-29 10:17:13 | biasness | 1 | 82945 | 1 | 8.310 | 9981.3 |
247 | 2024-07-28 14:31:20 | biasness | 3 | 146162 | 171 | 44.220 | 3305.3 |
246 | 2024-07-27 00:38:06 | biasness | 3 | 146162 | 171 | 10.813 | 13517.2 |