History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"robustest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
347 | 2025-07-13 02:45:11 | robustest | 1 | 81242 | 1 | 1.826 | 44491.8 |
346 | 2025-07-12 09:33:23 | robustest | 1 | 81242 | 1 | 1.296 | 62686.7 |
345 | 2025-07-10 02:15:25 | robustest | 1 | 81242 | 1 | 8.860 | 9169.5 |
344 | 2025-06-30 17:41:38 | robustest | 2 | 121436 | 4 | 12.003 | 10117.1 |
343 | 2025-06-29 22:47:58 | robustest | 3 | 148641 | 31 | 37.266 | 3988.6 |
342 | 2025-06-29 14:12:37 | robustest | 3 | 148641 | 31 | 16.046 | 9263.4 |
341 | 2025-06-29 11:43:19 | robustest | 2 | 121436 | 4 | 3.923 | 30954.9 |
340 | 2025-06-29 03:43:33 | robustest | 1 | 81242 | 1 | 1.436 | 56575.2 |
339 | 2025-06-29 02:02:47 | robustest | 3 | 148641 | 31 | 32.580 | 4562.3 |
338 | 2025-06-27 17:29:27 | robustest | 1 | 81242 | 1 | 1.263 | 64324.6 |
337 | 2025-06-14 01:57:16 | robustest | 1 | 81242 | 1 | 9.436 | 8609.8 |
336 | 2025-05-26 19:41:08 | robustest | 3 | 148641 | 31 | 25.096 | 5922.9 |
335 | 2025-05-22 03:56:52 | robustest | 1 | 81242 | 1 | 3.420 | 23755.0 |
334 | 2025-05-17 23:52:49 | robustest | 3 | 148641 | 31 | 42.046 | 3535.2 |
333 | 2025-05-16 16:05:05 | robustest | 3 | 148641 | 31 | 54.973 | 2703.9 |
332 | 2025-05-14 12:16:28 | robustest | 2 | 121436 | 4 | 21.393 | 5676.4 |
331 | 2025-05-14 07:15:01 | robustest | 1 | 81242 | 1 | 4.500 | 18053.8 |
330 | 2025-05-14 02:46:56 | robustest | 3 | 148641 | 31 | 40.503 | 3669.9 |
329 | 2025-05-13 04:14:39 | robustest | 2 | 121436 | 4 | 20.296 | 5983.2 |
328 | 2025-05-12 22:50:08 | robustest | 3 | 148641 | 31 | 36.766 | 4042.9 |
327 | 2025-05-12 22:04:14 | robustest | 3 | 148641 | 31 | 7.750 | 19179.5 |
326 | 2025-05-11 23:12:14 | robustest | 1 | 81242 | 1 | 10.220 | 7949.3 |
325 | 2025-05-02 14:19:51 | robustest | 1 | 81242 | 1 | 4.970 | 16346.5 |
324 | 2025-04-02 03:12:21 | robustest | 1 | 81242 | 1 | 5.280 | 15386.7 |
323 | 2025-03-31 22:48:27 | robustest | 1 | 81242 | 1 | 9.236 | 8796.2 |
322 | 2025-03-20 13:38:26 | robustest | 1 | 81242 | 1 | 4.763 | 17056.9 |
321 | 2025-03-02 04:32:50 | robustest | 1 | 81242 | 1 | 5.546 | 14648.8 |
320 | 2025-02-13 02:42:57 | robustest | 3 | 148641 | 31 | 36.186 | 4107.7 |
319 | 2025-02-10 15:16:04 | robustest | 3 | 148641 | 31 | 36.440 | 4079.1 |
318 | 2025-02-10 15:16:04 | robustest | 2 | 121436 | 4 | 18.266 | 6648.2 |
317 | 2025-02-09 23:48:23 | robustest | 1 | 81242 | 1 | 6.550 | 12403.4 |
316 | 2025-02-05 08:35:36 | robustest | 3 | 148641 | 31 | 46.910 | 3168.6 |
315 | 2025-02-05 08:35:44 | robustest | 2 | 121436 | 4 | 13.516 | 8984.6 |
314 | 2025-02-05 08:35:10 | robustest | 1 | 81242 | 1 | 7.563 | 10742.0 |
313 | 2025-02-05 07:38:49 | robustest | 4 | 165329 | 316 | 48.703 | 3394.6 |
312 | 2025-02-05 03:46:41 | robustest | 4 | 165329 | 316 | 61.300 | 2697.0 |
311 | 2025-02-05 03:46:46 | robustest | 2 | 121436 | 4 | 26.233 | 4629.1 |
310 | 2025-02-05 02:17:50 | robustest | 1 | 81242 | 1 | 1.420 | 57212.7 |
309 | 2025-01-28 18:55:39 | robustest | 3 | 148641 | 31 | 24.656 | 6028.6 |
308 | 2025-01-10 11:02:00 | robustest | 1 | 81242 | 1 | 2.843 | 28576.2 |
307 | 2025-01-07 02:01:26 | robustest | 1 | 81242 | 1 | 9.813 | 8279.0 |
306 | 2024-12-31 20:58:18 | robustest | 3 | 148641 | 31 | 44.910 | 3309.8 |
305 | 2024-12-31 20:58:21 | robustest | 3 | 148641 | 31 | 34.533 | 4304.3 |
304 | 2024-12-31 20:58:23 | robustest | 2 | 121436 | 4 | 24.376 | 4981.8 |
303 | 2024-12-31 20:55:53 | robustest | 1 | 81242 | 1 | 2.313 | 35124.1 |
302 | 2024-12-22 01:59:22 | robustest | 3 | 148641 | 31 | 38.783 | 3832.6 |
301 | 2024-12-21 16:03:34 | robustest | 3 | 148641 | 31 | 41.846 | 3552.1 |
300 | 2024-12-20 15:22:37 | robustest | 3 | 148641 | 31 | 38.080 | 3903.4 |
299 | 2024-12-20 15:22:35 | robustest | 3 | 148641 | 31 | 36.830 | 4035.9 |
298 | 2024-12-20 15:22:42 | robustest | 2 | 121436 | 4 | 20.796 | 5839.4 |
297 | 2024-12-20 15:19:33 | robustest | 1 | 81242 | 1 | 8.110 | 10017.5 |
296 | 2024-11-29 14:51:11 | robustest | 1 | 81242 | 1 | 5.423 | 14981.0 |
295 | 2024-11-19 15:39:44 | robustest | 1 | 81242 | 1 | 6.530 | 12441.3 |
294 | 2024-11-08 20:43:40 | robustest | 1 | 81242 | 1 | 4.003 | 20295.3 |
293 | 2024-11-08 04:53:53 | robustest | 1 | 81242 | 1 | 5.906 | 13755.8 |
292 | 2024-10-26 09:39:35 | robustest | 3 | 148641 | 31 | 41.266 | 3602.0 |
291 | 2024-10-26 04:32:12 | robustest | 3 | 148641 | 31 | 37.283 | 3986.8 |
290 | 2024-10-26 04:32:11 | robustest | 3 | 148641 | 31 | 36.503 | 4072.0 |
289 | 2024-10-25 21:18:30 | robustest | 3 | 148641 | 31 | 35.986 | 4130.5 |
288 | 2024-10-25 18:22:00 | robustest | 4 | 165329 | 316 | 58.503 | 2826.0 |
287 | 2024-10-25 18:22:12 | robustest | 3 | 148641 | 31 | 34.486 | 4310.2 |
286 | 2024-10-25 18:22:13 | robustest | 2 | 121436 | 4 | 19.796 | 6134.4 |
285 | 2024-10-25 18:20:58 | robustest | 1 | 81242 | 1 | 2.263 | 35900.1 |
284 | 2024-10-08 02:37:17 | robustest | 1 | 81242 | 1 | 8.296 | 9792.9 |
283 | 2024-10-02 06:58:00 | robustest | 1 | 81242 | 1 | 5.580 | 14559.5 |
282 | 2024-08-16 23:47:57 | robustest | 1 | 81242 | 1 | 13.470 | 6031.3 |
281 | 2024-08-05 18:23:26 | robustest | 1 | 81242 | 1 | 4.860 | 16716.5 |
280 | 2024-07-30 03:44:45 | robustest | 1 | 81242 | 1 | 6.420 | 12654.5 |
279 | 2024-06-17 00:32:47 | robustest | 3 | 148641 | 31 | 20.406 | 7284.2 |
278 | 2024-06-16 00:16:47 | robustest | 3 | 148641 | 31 | 25.593 | 5807.9 |
277 | 2024-06-13 12:33:04 | robustest | 3 | 148641 | 31 | 38.110 | 3900.3 |
276 | 2024-06-13 12:33:02 | robustest | 2 | 121436 | 4 | 20.313 | 5978.2 |
275 | 2024-06-12 07:23:52 | robustest | 1 | 81242 | 1 | 7.186 | 11305.6 |
274 | 2024-06-11 13:33:01 | robustest | 4 | 165329 | 316 | 73.190 | 2258.9 |
273 | 2024-06-10 22:19:26 | robustest | 4 | 165329 | 316 | 65.330 | 2530.7 |
272 | 2024-06-10 22:19:19 | robustest | 3 | 148641 | 31 | 25.393 | 5853.6 |
271 | 2024-06-10 22:19:19 | robustest | 2 | 121436 | 4 | 12.423 | 9775.1 |
270 | 2024-06-06 22:45:37 | robustest | 1 | 81242 | 1 | 1.453 | 55913.3 |
269 | 2024-06-03 15:29:00 | robustest | 1 | 81242 | 1 | 2.826 | 28748.1 |
268 | 2024-06-02 02:19:28 | robustest | 1 | 81242 | 1 | 2.436 | 33350.6 |
267 | 2024-05-30 16:06:27 | robustest | 1 | 81242 | 1 | 1.593 | 50999.4 |
266 | 2024-05-18 19:54:20 | robustest | 4 | 165329 | 316 | 24.393 | 6777.7 |
265 | 2024-05-17 16:51:59 | robustest | 4 | 165329 | 316 | 31.736 | 5209.5 |
264 | 2024-05-16 04:36:32 | robustest | 4 | 165329 | 316 | 18.563 | 8906.4 |
263 | 2024-05-11 09:03:17 | robustest | 1 | 81242 | 1 | 3.486 | 23305.2 |
262 | 2024-05-08 20:08:04 | robustest | 3 | 148641 | 31 | 20.500 | 7250.8 |
261 | 2024-05-05 22:46:27 | robustest | 2 | 121436 | 4 | 6.436 | 18868.2 |
260 | 2024-05-05 22:46:15 | robustest | 3 | 148641 | 31 | 8.486 | 17516.0 |
259 | 2024-05-05 06:06:20 | robustest | 1 | 81242 | 1 | 1.466 | 55417.5 |
258 | 2024-05-04 07:13:04 | robustest | 3 | 148641 | 31 | 20.610 | 7212.1 |
257 | 2024-05-04 07:13:01 | robustest | 2 | 121436 | 4 | 5.830 | 20829.5 |
256 | 2024-05-04 06:49:15 | robustest | 1 | 81242 | 1 | 1.436 | 56575.2 |
255 | 2024-05-03 19:39:00 | robustest | 1 | 81242 | 1 | 1.560 | 52078.2 |
254 | 2024-04-29 05:47:18 | robustest | 1 | 81242 | 1 | 1.466 | 55417.5 |
253 | 2024-04-28 11:21:47 | robustest | 1 | 81242 | 1 | 3.546 | 22910.9 |
252 | 2024-04-24 09:38:20 | robustest | 4 | 165329 | 316 | 42.470 | 3892.8 |
251 | 2024-04-24 09:35:37 | robustest | 4 | 165329 | 316 | 34.783 | 4753.2 |
250 | 2024-04-05 18:04:17 | robustest | 1 | 81242 | 1 | 4.360 | 18633.5 |
249 | 2024-04-04 10:44:11 | robustest | 4 | 165329 | 316 | 40.843 | 4047.9 |
248 | 2024-04-03 20:38:41 | robustest | 4 | 165329 | 316 | 34.770 | 4754.9 |