History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"condensible"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
371 | 2025-08-11 21:23:26 | condensible | 4 | 148819 | 57 | 41.350 | 3599.0 |
370 | 2025-08-10 13:51:30 | condensible | 4 | 148819 | 57 | 27.846 | 5344.4 |
369 | 2025-08-09 13:51:01 | condensible | 1 | 49908 | 2 | 4.406 | 11327.3 |
368 | 2025-08-09 10:57:10 | condensible | 1 | 49908 | 2 | 5.486 | 9097.3 |
367 | 2025-08-05 05:35:38 | condensible | 4 | 148819 | 57 | 36.486 | 4078.8 |
366 | 2025-07-26 03:44:01 | condensible | 1 | 49908 | 2 | 3.876 | 12876.2 |
365 | 2025-07-25 06:19:16 | condensible | 1 | 49908 | 2 | 1.346 | 37078.8 |
364 | 2025-07-24 07:35:58 | condensible | 1 | 49908 | 2 | 3.483 | 14329.0 |
363 | 2025-07-24 05:02:19 | condensible | 1 | 49908 | 2 | 5.593 | 8923.3 |
362 | 2025-07-18 16:16:42 | condensible | 1 | 49908 | 2 | 4.173 | 11959.7 |
361 | 2025-07-16 21:57:29 | condensible | 1 | 49908 | 2 | 4.780 | 10441.0 |
360 | 2025-07-02 10:18:59 | condensible | 1 | 49908 | 2 | 2.110 | 23653.1 |
359 | 2025-07-01 22:23:12 | condensible | 1 | 49908 | 2 | 4.266 | 11699.0 |
358 | 2025-06-18 04:12:35 | condensible | 1 | 49908 | 2 | 2.876 | 17353.3 |
357 | 2025-06-16 06:45:16 | condensible | 1 | 49908 | 2 | 4.126 | 12096.0 |
356 | 2025-06-03 23:40:16 | condensible | 2 | 86808 | 2 | 12.063 | 7196.2 |
355 | 2025-06-01 17:30:55 | condensible | 1 | 49908 | 2 | 0.923 | 54071.5 |
354 | 2025-06-01 09:16:05 | condensible | 1 | 49908 | 2 | 4.093 | 12193.5 |
353 | 2025-05-27 08:29:36 | condensible | 1 | 49908 | 2 | 2.153 | 23180.7 |
352 | 2025-05-18 00:48:16 | condensible | 1 | 49908 | 2 | 4.656 | 10719.1 |
351 | 2025-05-14 12:38:08 | condensible | 3 | 121633 | 16 | 14.703 | 8272.7 |
350 | 2025-05-14 11:48:42 | condensible | 4 | 148819 | 57 | 37.723 | 3945.0 |
349 | 2025-05-10 17:11:28 | condensible | 4 | 148819 | 57 | 44.723 | 3327.6 |
348 | 2025-05-10 07:26:28 | condensible | 3 | 121633 | 16 | 16.563 | 7343.7 |
347 | 2025-05-10 05:33:36 | condensible | 4 | 148819 | 57 | 66.066 | 2252.6 |
346 | 2025-05-05 12:25:52 | condensible | 2 | 86808 | 2 | 12.346 | 7031.3 |
345 | 2025-05-05 09:57:16 | condensible | 3 | 121633 | 16 | 27.626 | 4402.8 |
344 | 2025-05-05 00:50:03 | condensible | 4 | 148819 | 57 | 13.250 | 11231.6 |
343 | 2025-05-03 06:30:32 | condensible | 1 | 49908 | 2 | 4.623 | 10795.6 |
342 | 2025-04-23 20:58:37 | condensible | 1 | 49908 | 2 | 4.593 | 10866.1 |
341 | 2025-04-05 22:34:10 | condensible | 1 | 49908 | 2 | 2.830 | 17635.3 |
340 | 2025-03-24 03:38:52 | condensible | 1 | 49908 | 2 | 4.126 | 12096.0 |
339 | 2025-03-23 21:10:14 | condensible | 4 | 148819 | 57 | 46.113 | 3227.3 |
338 | 2025-03-23 00:41:10 | condensible | 4 | 148819 | 57 | 65.266 | 2280.2 |
337 | 2025-03-20 02:18:05 | condensible | 4 | 148819 | 57 | 28.420 | 5236.4 |
336 | 2025-03-17 12:56:50 | condensible | 4 | 148819 | 57 | 59.190 | 2514.3 |
335 | 2025-03-01 15:30:37 | condensible | 2 | 86808 | 2 | 12.560 | 6911.5 |
334 | 2025-03-01 15:27:03 | condensible | 1 | 49908 | 2 | 2.110 | 23653.1 |
333 | 2025-02-22 18:50:05 | condensible | 3 | 121633 | 16 | 26.940 | 4515.0 |
332 | 2025-02-21 05:22:13 | condensible | 3 | 121633 | 16 | 18.580 | 6546.4 |
331 | 2025-02-21 05:22:11 | condensible | 2 | 86808 | 2 | 11.313 | 7673.3 |
330 | 2025-02-21 05:18:36 | condensible | 1 | 49908 | 2 | 4.423 | 11283.7 |
329 | 2025-02-21 05:15:52 | condensible | 4 | 148819 | 57 | 31.470 | 4728.9 |
328 | 2025-02-19 23:51:17 | condensible | 3 | 121633 | 16 | 14.503 | 8386.7 |
327 | 2025-02-19 23:50:59 | condensible | 3 | 121633 | 16 | 25.740 | 4725.4 |
326 | 2025-02-18 13:22:06 | condensible | 4 | 148819 | 57 | 51.380 | 2896.4 |
325 | 2025-02-18 13:22:02 | condensible | 3 | 121633 | 16 | 36.253 | 3355.1 |
324 | 2025-02-18 13:21:53 | condensible | 2 | 86808 | 2 | 17.126 | 5068.8 |
323 | 2025-02-18 13:18:10 | condensible | 1 | 49908 | 2 | 1.703 | 29305.9 |
322 | 2025-02-16 03:04:38 | condensible | 4 | 148819 | 57 | 36.300 | 4099.7 |
321 | 2025-02-16 03:04:24 | condensible | 2 | 86808 | 2 | 12.310 | 7051.8 |
320 | 2025-02-16 03:03:38 | condensible | 1 | 49908 | 2 | 1.766 | 28260.5 |
319 | 2025-02-04 11:32:22 | condensible | 1 | 49908 | 2 | 0.940 | 53093.6 |
318 | 2025-01-23 05:13:26 | condensible | 3 | 121633 | 16 | 17.753 | 6851.4 |
317 | 2025-01-18 01:21:41 | condensible | 3 | 121633 | 16 | 29.160 | 4171.2 |
316 | 2025-01-16 04:04:59 | condensible | 2 | 86808 | 2 | 12.766 | 6799.9 |
315 | 2025-01-16 04:04:41 | condensible | 3 | 121633 | 16 | 27.516 | 4420.4 |
314 | 2025-01-16 04:04:34 | condensible | 3 | 121633 | 16 | 27.780 | 4378.4 |
313 | 2025-01-16 04:02:19 | condensible | 1 | 49908 | 2 | 3.220 | 15499.4 |
312 | 2025-01-14 20:41:31 | condensible | 3 | 121633 | 16 | 39.783 | 3057.4 |
311 | 2025-01-14 20:40:01 | condensible | 1 | 49908 | 2 | 4.390 | 11368.6 |
310 | 2025-01-11 03:42:21 | condensible | 3 | 121633 | 16 | 24.580 | 4948.5 |
309 | 2025-01-08 06:55:55 | condensible | 3 | 121633 | 16 | 23.673 | 5138.0 |
308 | 2025-01-08 06:54:52 | condensible | 1 | 49908 | 2 | 4.466 | 11175.1 |
307 | 2025-01-07 14:49:55 | condensible | 1 | 49908 | 2 | 4.233 | 11790.2 |
306 | 2024-12-16 17:27:27 | condensible | 1 | 49908 | 2 | 2.156 | 23148.4 |
305 | 2024-12-15 21:55:35 | condensible | 3 | 121633 | 16 | 35.286 | 3447.1 |
304 | 2024-12-15 21:55:37 | condensible | 3 | 121633 | 16 | 24.973 | 4870.6 |
303 | 2024-12-15 21:55:42 | condensible | 2 | 86808 | 2 | 12.703 | 6833.7 |
302 | 2024-12-14 07:32:23 | condensible | 3 | 121633 | 16 | 42.173 | 2884.1 |
301 | 2024-12-14 07:32:09 | condensible | 2 | 86808 | 2 | 12.563 | 6909.8 |
300 | 2024-12-13 22:31:45 | condensible | 3 | 121633 | 16 | 29.486 | 4125.1 |
299 | 2024-12-13 15:43:46 | condensible | 1 | 49908 | 2 | 4.986 | 10009.6 |
298 | 2024-12-10 22:13:38 | condensible | 3 | 121633 | 16 | 19.936 | 6101.2 |
297 | 2024-12-08 11:00:37 | condensible | 1 | 49908 | 2 | 4.893 | 10199.9 |
296 | 2024-12-08 03:42:49 | condensible | 3 | 121633 | 16 | 27.533 | 4417.7 |
295 | 2024-12-08 03:42:50 | condensible | 2 | 86808 | 2 | 18.126 | 4789.1 |
294 | 2024-12-08 03:36:46 | condensible | 1 | 49908 | 2 | 1.766 | 28260.5 |
293 | 2024-11-14 06:56:54 | condensible | 3 | 121633 | 16 | 33.470 | 3634.1 |
292 | 2024-11-07 11:41:15 | condensible | 4 | 148819 | 57 | 56.706 | 2624.4 |
291 | 2024-11-07 11:41:15 | condensible | 4 | 148819 | 57 | 39.830 | 3736.4 |
290 | 2024-11-07 11:41:17 | condensible | 2 | 86808 | 2 | 14.673 | 5916.2 |
289 | 2024-11-07 11:40:47 | condensible | 1 | 49908 | 2 | 6.080 | 8208.6 |
288 | 2024-11-05 02:45:00 | condensible | 3 | 121633 | 16 | 25.593 | 4752.6 |
287 | 2024-10-31 22:16:39 | condensible | 3 | 121633 | 16 | 25.863 | 4703.0 |
286 | 2024-10-31 08:28:44 | condensible | 3 | 121633 | 16 | 25.516 | 4766.9 |
285 | 2024-10-31 08:28:37 | condensible | 3 | 121633 | 16 | 26.596 | 4573.4 |
284 | 2024-10-31 08:28:37 | condensible | 2 | 86808 | 2 | 12.906 | 6726.2 |
283 | 2024-10-31 08:27:41 | condensible | 1 | 49908 | 2 | 2.076 | 24040.5 |
282 | 2024-10-31 05:06:37 | condensible | 1 | 49908 | 2 | 5.076 | 9832.2 |
281 | 2024-10-28 19:18:19 | condensible | 3 | 121633 | 16 | 32.140 | 3784.5 |
280 | 2024-10-28 00:20:20 | condensible | 1 | 49908 | 2 | 4.436 | 11250.7 |
279 | 2024-10-04 01:46:10 | condensible | 3 | 121633 | 16 | 40.866 | 2976.4 |
278 | 2024-10-04 01:45:27 | condensible | 3 | 121633 | 16 | 43.313 | 2808.2 |
277 | 2024-09-30 03:15:26 | condensible | 3 | 121633 | 16 | 30.940 | 3931.3 |
276 | 2024-09-28 21:49:21 | condensible | 3 | 121633 | 16 | 38.906 | 3126.3 |
275 | 2024-09-27 10:21:46 | condensible | 4 | 148819 | 57 | 47.896 | 3107.1 |
273 | 2024-09-27 10:21:35 | condensible | 4 | 148819 | 57 | 59.410 | 2504.9 |
272 | 2024-09-27 10:21:49 | condensible | 3 | 121633 | 16 | 38.003 | 3200.6 |