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 |
359 | 2025-09-16 18:05:03 | predefined | 4 | 161450 | 223 | 11.546 | 13983.2 |
358 | 2025-09-13 03:17:00 | predefined | 3 | 140603 | 27 | 6.140 | 22899.5 |
357 | 2025-09-13 00:08:23 | predefined | 1 | 67641 | 4 | 1.156 | 58513.0 |
356 | 2025-09-11 06:18:42 | predefined | 2 | 108824 | 8 | 3.203 | 33975.6 |
355 | 2025-09-10 13:03:49 | predefined | 2 | 108824 | 8 | 3.626 | 30012.1 |
354 | 2025-09-07 22:36:01 | predefined | 3 | 140603 | 27 | 6.626 | 21219.9 |
353 | 2025-09-01 20:52:25 | predefined | 3 | 140603 | 27 | 6.580 | 21368.2 |
352 | 2025-08-31 18:33:42 | predefined | 3 | 140603 | 27 | 6.313 | 22272.0 |
351 | 2025-08-28 22:39:40 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
350 | 2025-08-28 10:32:06 | predefined | 1 | 67641 | 4 | 1.263 | 53555.8 |
349 | 2025-08-28 05:34:10 | predefined | 2 | 108824 | 8 | 3.280 | 33178.0 |
348 | 2025-08-28 01:45:46 | predefined | 3 | 140603 | 27 | 5.843 | 24063.5 |
347 | 2025-08-28 00:43:25 | predefined | 3 | 140603 | 27 | 6.203 | 22666.9 |
346 | 2025-08-27 22:33:27 | predefined | 1 | 67641 | 4 | 1.220 | 55443.4 |
345 | 2025-08-27 19:22:52 | predefined | 3 | 140603 | 27 | 6.233 | 22557.8 |
344 | 2025-08-24 19:28:54 | predefined | 1 | 67641 | 4 | 3.656 | 18501.4 |
343 | 2025-08-18 08:05:44 | predefined | 1 | 67641 | 4 | 1.110 | 60937.8 |
342 | 2025-08-17 06:36:54 | predefined | 1 | 67641 | 4 | 2.486 | 27208.8 |
341 | 2025-08-09 10:22:03 | predefined | 1 | 67641 | 4 | 3.063 | 22083.3 |
340 | 2025-08-09 05:50:12 | predefined | 1 | 67641 | 4 | 3.780 | 17894.4 |
339 | 2025-08-05 22:14:29 | predefined | 3 | 140603 | 27 | 15.906 | 8839.6 |
338 | 2025-08-05 19:27:35 | predefined | 3 | 140603 | 27 | 33.220 | 4232.5 |
337 | 2025-08-02 22:22:02 | predefined | 3 | 140603 | 27 | 36.280 | 3875.5 |
336 | 2025-07-30 12:05:37 | predefined | 3 | 140603 | 27 | 23.096 | 6087.8 |
335 | 2025-07-25 08:54:39 | predefined | 1 | 67641 | 4 | 2.406 | 28113.5 |
334 | 2025-07-24 23:20:50 | predefined | 1 | 67641 | 4 | 2.423 | 27916.2 |
333 | 2025-07-23 23:31:31 | predefined | 1 | 67641 | 4 | 3.093 | 21869.1 |
332 | 2025-07-23 09:28:37 | predefined | 1 | 67641 | 4 | 7.283 | 9287.5 |
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 |