History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predefined"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
331 | 2025-07-19 23:02:06 | predefined | 2 | 108824 | 8 | 3.343 | 32552.8 |
330 | 2025-07-17 01:15:31 | predefined | 3 | 140603 | 27 | 15.593 | 9017.1 |
329 | 2025-07-16 14:55:18 | predefined | 2 | 108824 | 8 | 8.360 | 13017.2 |
328 | 2025-07-15 07:55:07 | predefined | 1 | 67641 | 4 | 3.330 | 20312.6 |
327 | 2025-07-08 11:14:19 | predefined | 2 | 108824 | 8 | 15.363 | 7083.5 |
326 | 2025-07-07 14:26:26 | predefined | 4 | 161450 | 223 | 47.373 | 3408.1 |
325 | 2025-07-06 23:47:18 | predefined | 3 | 140603 | 27 | 6.906 | 20359.5 |
324 | 2025-07-06 07:16:31 | predefined | 3 | 140603 | 27 | 14.300 | 9832.4 |
323 | 2025-06-30 11:20:20 | predefined | 1 | 67641 | 4 | 6.220 | 10874.8 |
322 | 2025-06-28 04:31:30 | predefined | 1 | 67641 | 4 | 10.140 | 6670.7 |
321 | 2025-06-26 18:18:54 | predefined | 1 | 67641 | 4 | 3.453 | 19589.1 |
320 | 2025-06-26 15:27:05 | predefined | 3 | 140603 | 27 | 23.876 | 5888.9 |
319 | 2025-06-26 08:02:00 | predefined | 4 | 161450 | 223 | 65.893 | 2450.2 |
318 | 2025-06-24 06:06:34 | predefined | 2 | 108824 | 8 | 15.736 | 6915.6 |
317 | 2025-06-23 07:36:17 | predefined | 3 | 140603 | 27 | 8.470 | 16600.1 |
316 | 2025-06-22 23:35:37 | predefined | 3 | 140603 | 27 | 30.410 | 4623.6 |
315 | 2025-06-22 13:57:01 | predefined | 3 | 140603 | 27 | 26.953 | 5216.6 |
314 | 2025-06-21 23:33:01 | predefined | 3 | 140603 | 27 | 34.423 | 4084.6 |
313 | 2025-06-20 20:16:54 | predefined | 3 | 140603 | 27 | 44.236 | 3178.5 |
312 | 2025-06-20 13:13:54 | predefined | 1 | 67641 | 4 | 1.173 | 57665.0 |
311 | 2025-06-20 12:08:02 | predefined | 4 | 161450 | 223 | 60.066 | 2687.9 |
310 | 2025-06-19 22:03:30 | predefined | 2 | 108824 | 8 | 12.220 | 8905.4 |
309 | 2025-06-18 19:55:54 | predefined | 1 | 67641 | 4 | 1.203 | 56226.9 |
308 | 2025-06-14 20:40:34 | predefined | 1 | 67641 | 4 | 7.986 | 8469.9 |
307 | 2025-05-31 17:30:09 | predefined | 1 | 67641 | 4 | 5.593 | 12093.9 |
306 | 2025-05-22 05:22:15 | predefined | 1 | 67641 | 4 | 8.313 | 8136.8 |
305 | 2025-05-21 08:45:27 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
304 | 2025-05-18 17:07:41 | predefined | 1 | 67641 | 4 | 5.703 | 11860.6 |
303 | 2025-05-15 16:16:37 | predefined | 3 | 140603 | 27 | 6.970 | 20172.6 |
302 | 2025-05-15 15:49:55 | predefined | 2 | 108824 | 8 | 3.326 | 32719.2 |
301 | 2025-05-15 00:38:41 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
300 | 2025-05-12 13:25:07 | predefined | 1 | 67641 | 4 | 7.686 | 8800.5 |
299 | 2025-05-11 22:18:23 | predefined | 1 | 67641 | 4 | 5.423 | 12473.0 |
298 | 2025-05-05 23:38:09 | predefined | 1 | 67641 | 4 | 3.576 | 18915.3 |
297 | 2025-05-05 20:04:09 | predefined | 1 | 67641 | 4 | 3.030 | 22323.8 |
296 | 2025-05-04 11:46:06 | predefined | 1 | 67641 | 4 | 5.860 | 11542.8 |
295 | 2025-04-23 08:33:22 | predefined | 1 | 67641 | 4 | 5.940 | 11387.4 |
294 | 2025-04-01 20:00:11 | predefined | 1 | 67641 | 4 | 8.143 | 8306.6 |
293 | 2025-03-27 00:28:00 | predefined | 1 | 67641 | 4 | 8.360 | 8091.0 |
292 | 2025-03-23 10:33:06 | predefined | 1 | 67641 | 4 | 5.766 | 11731.0 |
291 | 2025-03-20 13:02:34 | predefined | 1 | 67641 | 4 | 3.626 | 18654.4 |
290 | 2025-03-07 01:42:16 | predefined | 3 | 140603 | 27 | 48.156 | 2919.7 |
289 | 2025-03-07 01:42:21 | predefined | 3 | 140603 | 27 | 30.296 | 4641.0 |
288 | 2025-03-07 01:42:14 | predefined | 2 | 108824 | 8 | 6.610 | 16463.5 |
287 | 2025-03-07 00:38:35 | predefined | 1 | 67641 | 4 | 1.186 | 57032.9 |
286 | 2025-03-03 19:07:55 | predefined | 1 | 67641 | 4 | 5.796 | 11670.3 |
285 | 2025-03-02 17:39:37 | predefined | 1 | 67641 | 4 | 3.033 | 22301.7 |
284 | 2025-02-17 11:14:03 | predefined | 3 | 140603 | 27 | 37.423 | 3757.1 |
283 | 2025-02-17 11:13:54 | predefined | 3 | 140603 | 27 | 41.000 | 3429.3 |
282 | 2025-02-17 11:13:54 | predefined | 2 | 108824 | 8 | 14.500 | 7505.1 |
281 | 2025-02-17 11:11:26 | predefined | 1 | 67641 | 4 | 1.203 | 56226.9 |
280 | 2025-02-08 08:46:30 | predefined | 3 | 140603 | 27 | 36.330 | 3870.2 |
279 | 2025-02-04 14:33:13 | predefined | 3 | 140603 | 27 | 30.533 | 4605.0 |
278 | 2025-02-04 14:33:11 | predefined | 3 | 140603 | 27 | 14.546 | 9666.1 |
277 | 2025-01-23 21:47:15 | predefined | 1 | 67641 | 4 | 2.093 | 32317.7 |
276 | 2025-01-20 06:29:03 | predefined | 2 | 108824 | 8 | 16.050 | 6780.3 |
275 | 2025-01-20 06:27:31 | predefined | 1 | 67641 | 4 | 6.423 | 10531.1 |
274 | 2025-01-18 10:14:54 | predefined | 2 | 108824 | 8 | 21.813 | 4989.0 |
273 | 2025-01-18 10:14:11 | predefined | 1 | 67641 | 4 | 4.220 | 16028.7 |
272 | 2025-01-14 17:10:50 | predefined | 3 | 140603 | 27 | 30.970 | 4540.0 |
271 | 2025-01-14 17:10:55 | predefined | 2 | 108824 | 8 | 15.360 | 7084.9 |
270 | 2025-01-14 17:10:20 | predefined | 3 | 140603 | 27 | 34.236 | 4106.9 |
269 | 2025-01-14 17:06:51 | predefined | 1 | 67641 | 4 | 2.983 | 22675.5 |
268 | 2024-12-28 23:54:48 | predefined | 3 | 140603 | 27 | 35.283 | 3985.0 |
267 | 2024-12-23 19:00:08 | predefined | 3 | 140603 | 27 | 33.830 | 4156.2 |
266 | 2024-12-23 19:00:10 | predefined | 2 | 108824 | 8 | 19.500 | 5580.7 |
265 | 2024-12-23 18:59:03 | predefined | 3 | 140603 | 27 | 37.110 | 3788.8 |
264 | 2024-12-23 18:54:31 | predefined | 1 | 67641 | 4 | 3.923 | 17242.2 |
263 | 2024-12-16 08:03:39 | predefined | 1 | 67641 | 4 | 4.326 | 15635.9 |
262 | 2024-12-15 22:03:13 | predefined | 2 | 108824 | 8 | 15.440 | 7048.2 |
261 | 2024-12-15 22:01:52 | predefined | 1 | 67641 | 4 | 5.720 | 11825.3 |
260 | 2024-12-14 01:57:42 | predefined | 3 | 140603 | 27 | 50.673 | 2774.7 |
259 | 2024-12-14 01:57:43 | predefined | 2 | 108824 | 8 | 15.920 | 6835.7 |
258 | 2024-12-14 01:57:02 | predefined | 1 | 67641 | 4 | 3.826 | 17679.3 |
257 | 2024-11-17 17:28:56 | predefined | 3 | 140603 | 27 | 37.656 | 3733.9 |
256 | 2024-11-14 17:23:10 | predefined | 3 | 140603 | 27 | 32.783 | 4288.9 |
255 | 2024-11-14 17:23:13 | predefined | 2 | 108824 | 8 | 12.233 | 8895.9 |
254 | 2024-11-14 17:20:57 | predefined | 1 | 67641 | 4 | 2.673 | 25305.3 |
253 | 2024-11-13 04:18:31 | predefined | 3 | 140603 | 27 | 41.033 | 3426.6 |
252 | 2024-11-13 04:18:38 | predefined | 3 | 140603 | 27 | 29.313 | 4796.6 |
251 | 2024-11-13 04:18:32 | predefined | 2 | 108824 | 8 | 16.203 | 6716.3 |
250 | 2024-11-13 04:16:50 | predefined | 1 | 67641 | 4 | 6.046 | 11187.7 |
249 | 2024-11-08 23:34:25 | predefined | 1 | 67641 | 4 | 2.936 | 23038.5 |
248 | 2024-11-02 09:03:05 | predefined | 1 | 67641 | 4 | 4.610 | 14672.7 |
247 | 2024-10-10 04:13:34 | predefined | 3 | 140603 | 27 | 38.533 | 3648.9 |
246 | 2024-10-10 04:12:18 | predefined | 3 | 140603 | 27 | 48.630 | 2891.3 |
245 | 2024-10-10 03:33:35 | predefined | 3 | 140603 | 27 | 41.956 | 3351.2 |
244 | 2024-10-10 03:33:35 | predefined | 3 | 140603 | 27 | 16.576 | 8482.3 |
243 | 2024-10-10 00:00:29 | predefined | 2 | 108824 | 8 | 11.826 | 9202.1 |
242 | 2024-10-09 23:56:22 | predefined | 1 | 67641 | 4 | 2.060 | 32835.4 |
241 | 2024-10-09 23:55:42 | predefined | 3 | 140603 | 27 | 35.640 | 3945.1 |
240 | 2024-10-09 23:55:41 | predefined | 3 | 140603 | 27 | 27.593 | 5095.6 |
239 | 2024-10-09 21:04:23 | predefined | 4 | 161450 | 223 | 73.736 | 2189.6 |
238 | 2024-10-09 21:04:32 | predefined | 3 | 140603 | 27 | 42.660 | 3295.9 |
237 | 2024-10-09 21:04:23 | predefined | 2 | 108824 | 8 | 15.596 | 6977.7 |
236 | 2024-10-09 16:06:50 | predefined | 1 | 67641 | 4 | 5.046 | 13404.9 |
235 | 2024-10-03 15:13:31 | predefined | 1 | 67641 | 4 | 4.860 | 13917.9 |
234 | 2024-08-28 01:08:31 | predefined | 1 | 67641 | 4 | 1.170 | 57812.8 |
233 | 2024-08-17 11:55:47 | predefined | 1 | 67641 | 4 | 6.266 | 10794.9 |
232 | 2024-08-03 11:55:23 | predefined | 1 | 67641 | 4 | 3.186 | 21230.7 |