History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tailored"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
369 | 2025-05-21 19:49:05 | tailored | 1 | 82945 | 1 | 4.830 | 17172.9 |
368 | 2025-05-19 10:16:21 | tailored | 1 | 82945 | 1 | 1.466 | 56579.1 |
367 | 2025-05-11 15:51:02 | tailored | 1 | 82945 | 1 | 6.626 | 12518.1 |
366 | 2025-05-10 09:18:29 | tailored | 3 | 146162 | 137 | 57.086 | 2560.4 |
365 | 2025-05-10 01:34:43 | tailored | 2 | 121059 | 10 | 22.300 | 5428.7 |
364 | 2025-04-19 19:23:59 | tailored | 1 | 82945 | 1 | 6.046 | 13719.0 |
363 | 2025-04-09 03:11:31 | tailored | 1 | 82945 | 1 | 3.533 | 23477.2 |
362 | 2025-04-08 15:27:43 | tailored | 1 | 82945 | 1 | 6.906 | 12010.6 |
361 | 2025-03-17 23:10:02 | tailored | 1 | 82945 | 1 | 6.203 | 13371.8 |
360 | 2025-03-17 05:03:27 | tailored | 1 | 82945 | 1 | 5.596 | 14822.2 |
359 | 2025-03-08 23:33:23 | tailored | 1 | 82945 | 1 | 10.126 | 8191.3 |
358 | 2025-03-08 22:22:22 | tailored | 1 | 82945 | 1 | 6.390 | 12980.4 |
357 | 2025-03-03 00:05:29 | tailored | 3 | 146162 | 137 | 65.736 | 2223.5 |
356 | 2025-03-01 01:40:07 | tailored | 3 | 146162 | 137 | 16.846 | 8676.4 |
355 | 2025-02-24 15:56:49 | tailored | 2 | 121059 | 10 | 3.890 | 31120.6 |
354 | 2025-02-23 15:29:06 | tailored | 3 | 146162 | 137 | 39.330 | 3716.3 |
353 | 2025-02-23 15:11:46 | tailored | 3 | 146162 | 137 | 44.750 | 3266.2 |
352 | 2025-02-23 15:11:44 | tailored | 2 | 121059 | 10 | 18.593 | 6511.0 |
351 | 2025-02-12 14:18:18 | tailored | 2 | 121059 | 10 | 13.550 | 8934.2 |
350 | 2025-02-12 14:18:18 | tailored | 1 | 82945 | 1 | 6.000 | 13824.2 |
349 | 2025-02-12 13:29:21 | tailored | 3 | 146162 | 137 | 8.186 | 17855.1 |
348 | 2025-02-12 08:20:11 | tailored | 3 | 146162 | 137 | 39.030 | 3744.9 |
347 | 2025-02-10 06:16:05 | tailored | 3 | 146162 | 137 | 6.673 | 21903.5 |
346 | 2025-01-23 23:31:25 | tailored | 3 | 146162 | 137 | 35.720 | 4091.9 |
345 | 2025-01-18 05:39:55 | tailored | 3 | 146162 | 137 | 50.300 | 2905.8 |
344 | 2025-01-18 05:39:55 | tailored | 2 | 121059 | 10 | 19.266 | 6283.6 |
343 | 2025-01-11 08:38:33 | tailored | 3 | 146162 | 137 | 25.170 | 5807.0 |
342 | 2025-01-11 08:38:34 | tailored | 2 | 121059 | 10 | 14.440 | 8383.6 |
341 | 2025-01-11 08:38:24 | tailored | 1 | 82945 | 1 | 5.466 | 15174.7 |
340 | 2025-01-11 06:27:26 | tailored | 3 | 146162 | 137 | 43.393 | 3368.3 |
339 | 2025-01-11 06:27:22 | tailored | 2 | 121059 | 10 | 12.003 | 10085.7 |
338 | 2025-01-02 22:21:57 | tailored | 1 | 82945 | 1 | 9.843 | 8426.8 |
337 | 2024-12-29 20:35:40 | tailored | 1 | 82945 | 1 | 4.140 | 20035.0 |
336 | 2024-12-11 23:24:09 | tailored | 1 | 82945 | 1 | 4.140 | 20035.0 |
335 | 2024-12-10 16:03:05 | tailored | 3 | 146162 | 137 | 30.280 | 4827.0 |
334 | 2024-12-06 22:13:52 | tailored | 3 | 146162 | 137 | 36.243 | 4032.8 |
333 | 2024-12-06 09:30:31 | tailored | 3 | 146162 | 137 | 30.080 | 4859.1 |
332 | 2024-12-02 02:13:40 | tailored | 3 | 146162 | 137 | 38.113 | 3835.0 |
331 | 2024-11-28 08:09:20 | tailored | 1 | 82945 | 1 | 7.346 | 11291.2 |
330 | 2024-11-26 05:12:52 | tailored | 1 | 82945 | 1 | 7.550 | 10986.1 |
329 | 2024-11-11 20:34:59 | tailored | 2 | 121059 | 10 | 18.470 | 6554.4 |
328 | 2024-11-11 06:19:31 | tailored | 1 | 82945 | 1 | 1.280 | 64800.8 |
327 | 2024-11-10 07:35:51 | tailored | 2 | 121059 | 10 | 12.296 | 9845.4 |
326 | 2024-11-03 20:30:19 | tailored | 3 | 146162 | 137 | 27.186 | 5376.4 |
325 | 2024-11-03 15:37:21 | tailored | 3 | 146162 | 137 | 36.500 | 4004.4 |
324 | 2024-11-03 08:46:37 | tailored | 3 | 146162 | 137 | 35.940 | 4066.8 |
323 | 2024-10-27 15:29:47 | tailored | 1 | 82945 | 1 | 7.313 | 11342.1 |
322 | 2024-10-26 08:03:58 | tailored | 3 | 146162 | 137 | 8.296 | 17618.4 |
321 | 2024-10-26 01:32:15 | tailored | 1 | 82945 | 1 | 7.423 | 11174.1 |
320 | 2024-10-25 00:40:34 | tailored | 1 | 82945 | 1 | 7.953 | 10429.4 |
319 | 2024-10-10 16:49:51 | tailored | 2 | 121059 | 10 | 19.390 | 6243.4 |
318 | 2024-10-10 16:40:41 | tailored | 1 | 82945 | 1 | 1.546 | 53651.4 |
317 | 2024-10-02 09:36:15 | tailored | 3 | 146162 | 137 | 43.850 | 3333.2 |
316 | 2024-10-02 06:18:46 | tailored | 3 | 146162 | 137 | 46.626 | 3134.8 |
315 | 2024-10-01 20:11:30 | tailored | 3 | 146162 | 137 | 80.426 | 1817.3 |
314 | 2024-09-22 01:35:25 | tailored | 3 | 146162 | 137 | 55.813 | 2618.8 |
313 | 2024-09-04 09:38:00 | tailored | 1 | 82945 | 1 | 11.203 | 7403.8 |
312 | 2024-08-24 12:08:53 | tailored | 1 | 82945 | 1 | 11.406 | 7272.0 |
311 | 2024-08-23 03:24:17 | tailored | 1 | 82945 | 1 | 5.233 | 15850.4 |
310 | 2024-08-10 14:51:30 | tailored | 3 | 146162 | 137 | 29.863 | 4894.4 |
309 | 2024-08-10 14:51:28 | tailored | 2 | 121059 | 10 | 9.080 | 13332.5 |
308 | 2024-08-10 08:20:01 | tailored | 3 | 146162 | 137 | 17.550 | 8328.3 |
307 | 2024-08-10 08:20:02 | tailored | 2 | 121059 | 10 | 10.906 | 11100.2 |
306 | 2024-08-10 08:20:03 | tailored | 1 | 82945 | 1 | 2.266 | 36604.1 |
305 | 2024-07-17 11:45:54 | tailored | 1 | 82945 | 1 | 3.220 | 25759.3 |
304 | 2024-07-14 17:30:18 | tailored | 2 | 121059 | 10 | 11.000 | 11005.4 |
303 | 2024-07-14 17:30:06 | tailored | 1 | 82945 | 1 | 8.406 | 9867.4 |
302 | 2024-07-13 21:29:05 | tailored | 3 | 146162 | 137 | 31.596 | 4626.0 |
301 | 2024-07-12 13:34:37 | tailored | 3 | 146162 | 137 | 38.846 | 3762.6 |
300 | 2024-07-12 10:09:37 | tailored | 3 | 146162 | 137 | 13.093 | 11163.4 |
299 | 2024-07-12 10:09:32 | tailored | 2 | 121059 | 10 | 14.500 | 8348.9 |
298 | 2024-07-12 09:27:32 | tailored | 1 | 82945 | 1 | 1.403 | 59119.7 |
297 | 2024-07-10 21:20:40 | tailored | 1 | 82945 | 1 | 4.940 | 16790.5 |
296 | 2024-06-25 23:06:56 | tailored | 1 | 82945 | 1 | 3.703 | 22399.4 |
295 | 2024-06-20 12:13:24 | tailored | 3 | 146162 | 137 | 18.890 | 7737.5 |
294 | 2024-06-07 06:08:42 | tailored | 3 | 146162 | 137 | 12.906 | 11325.1 |
293 | 2024-06-04 19:54:52 | tailored | 1 | 82945 | 1 | 6.406 | 12948.0 |
292 | 2024-06-04 19:54:04 | tailored | 2 | 121059 | 10 | 5.686 | 21290.7 |
291 | 2024-06-04 19:53:30 | tailored | 3 | 146162 | 137 | 20.296 | 7201.5 |
290 | 2024-06-04 03:25:48 | tailored | 2 | 121059 | 10 | 5.593 | 21644.7 |
289 | 2024-06-04 03:24:52 | tailored | 3 | 146162 | 137 | 9.173 | 15933.9 |
288 | 2024-06-02 11:20:31 | tailored | 3 | 146162 | 137 | 11.640 | 12556.9 |
287 | 2024-06-02 06:58:29 | tailored | 3 | 146162 | 137 | 9.643 | 15157.3 |
286 | 2024-05-31 04:36:37 | tailored | 1 | 82945 | 1 | 1.856 | 44690.2 |
285 | 2024-05-05 18:58:21 | tailored | 3 | 146162 | 137 | 15.453 | 9458.5 |
284 | 2024-05-05 18:58:25 | tailored | 1 | 82945 | 1 | 1.533 | 54106.3 |
283 | 2024-05-05 18:58:18 | tailored | 2 | 121059 | 10 | 8.403 | 14406.6 |
282 | 2024-04-30 18:36:20 | tailored | 3 | 146162 | 137 | 7.906 | 18487.5 |
281 | 2024-04-30 08:31:33 | tailored | 3 | 146162 | 137 | 19.923 | 7336.3 |
280 | 2024-04-30 02:57:07 | tailored | 3 | 146162 | 137 | 27.020 | 5409.4 |
279 | 2024-04-28 04:22:03 | tailored | 3 | 146162 | 137 | 9.203 | 15882.0 |
278 | 2024-04-28 04:06:21 | tailored | 3 | 146162 | 137 | 9.126 | 16016.0 |
277 | 2024-04-28 04:06:12 | tailored | 2 | 121059 | 10 | 3.766 | 32145.2 |
276 | 2024-04-27 23:08:54 | tailored | 2 | 121059 | 10 | 4.983 | 24294.4 |
275 | 2024-04-20 23:23:35 | tailored | 1 | 82945 | 1 | 3.000 | 27648.3 |
274 | 2024-04-20 23:23:24 | tailored | 2 | 121059 | 10 | 8.750 | 13835.3 |
273 | 2024-04-16 10:34:10 | tailored | 2 | 121059 | 10 | 13.626 | 8884.4 |
272 | 2024-04-16 10:07:06 | tailored | 1 | 82945 | 1 | 1.673 | 49578.6 |
271 | 2024-04-09 02:10:11 | tailored | 2 | 121059 | 10 | 11.440 | 10582.1 |
270 | 2024-04-09 02:10:07 | tailored | 1 | 82945 | 1 | 1.546 | 53651.4 |