History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tightnesses"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
373 | 2025-05-30 01:52:53 | tightnesses | 1 | 49908 | 3 | 0.843 | 59202.8 |
372 | 2025-05-15 21:09:23 | tightnesses | 4 | 148819 | 311 | 35.110 | 4238.6 |
371 | 2025-05-08 23:42:10 | tightnesses | 4 | 148819 | 311 | 11.220 | 13263.7 |
370 | 2025-05-07 18:59:58 | tightnesses | 4 | 148819 | 311 | 57.846 | 2572.7 |
369 | 2025-05-07 18:56:46 | tightnesses | 1 | 49908 | 3 | 3.530 | 14138.2 |
368 | 2025-05-07 17:36:55 | tightnesses | 2 | 86808 | 10 | 2.046 | 42428.2 |
367 | 2025-05-07 00:39:24 | tightnesses | 2 | 86808 | 10 | 2.110 | 41141.2 |
366 | 2025-05-06 18:10:10 | tightnesses | 2 | 86808 | 10 | 11.393 | 7619.4 |
365 | 2025-05-06 18:03:10 | tightnesses | 3 | 121633 | 45 | 26.690 | 4557.2 |
364 | 2025-05-06 08:21:35 | tightnesses | 3 | 121633 | 45 | 28.186 | 4315.4 |
363 | 2025-05-06 04:25:28 | tightnesses | 1 | 49908 | 3 | 2.033 | 24548.9 |
362 | 2025-05-05 21:17:33 | tightnesses | 1 | 49908 | 3 | 2.296 | 21736.9 |
361 | 2025-05-05 15:26:44 | tightnesses | 1 | 49908 | 3 | 0.890 | 56076.4 |
360 | 2025-05-05 02:26:32 | tightnesses | 3 | 121633 | 45 | 5.030 | 24181.5 |
359 | 2025-05-04 23:38:50 | tightnesses | 3 | 121633 | 45 | 4.983 | 24409.6 |
358 | 2025-05-02 21:31:50 | tightnesses | 1 | 49908 | 3 | 1.983 | 25167.9 |
357 | 2025-04-23 17:53:25 | tightnesses | 3 | 121633 | 45 | 4.940 | 24622.1 |
356 | 2025-04-20 12:12:40 | tightnesses | 1 | 49908 | 3 | 4.326 | 11536.8 |
355 | 2025-04-13 16:55:40 | tightnesses | 4 | 148819 | 311 | 8.903 | 16715.6 |
354 | 2025-04-13 06:51:20 | tightnesses | 2 | 86808 | 10 | 2.343 | 37049.9 |
353 | 2025-04-13 06:29:07 | tightnesses | 3 | 121633 | 45 | 16.970 | 7167.5 |
352 | 2025-04-06 17:35:16 | tightnesses | 4 | 148819 | 311 | 37.953 | 3921.1 |
351 | 2025-04-05 07:10:55 | tightnesses | 2 | 86808 | 10 | 2.483 | 34960.9 |
350 | 2025-04-05 00:03:16 | tightnesses | 3 | 121633 | 45 | 4.920 | 24722.2 |
349 | 2025-04-03 20:46:59 | tightnesses | 1 | 49908 | 3 | 2.110 | 23653.1 |
348 | 2025-04-03 07:47:31 | tightnesses | 3 | 121633 | 45 | 4.920 | 24722.2 |
347 | 2025-04-02 21:09:05 | tightnesses | 2 | 86808 | 10 | 10.436 | 8318.1 |
346 | 2025-04-01 18:53:44 | tightnesses | 1 | 49908 | 3 | 1.360 | 36697.1 |
345 | 2025-03-29 18:07:40 | tightnesses | 1 | 49908 | 3 | 3.643 | 13699.7 |
344 | 2025-03-24 18:30:02 | tightnesses | 1 | 49908 | 3 | 0.800 | 62385.0 |
343 | 2025-03-20 14:55:16 | tightnesses | 1 | 49908 | 3 | 3.966 | 12584.0 |
342 | 2025-03-14 12:09:32 | tightnesses | 1 | 49908 | 3 | 0.750 | 66544.0 |
341 | 2025-03-02 17:00:05 | tightnesses | 1 | 49908 | 3 | 1.936 | 25778.9 |
340 | 2025-02-22 08:38:51 | tightnesses | 2 | 86808 | 10 | 12.656 | 6859.0 |
339 | 2025-02-22 08:38:01 | tightnesses | 1 | 49908 | 3 | 4.110 | 12143.1 |
338 | 2025-02-21 00:33:29 | tightnesses | 3 | 121633 | 45 | 29.533 | 4118.5 |
337 | 2025-02-20 16:04:29 | tightnesses | 3 | 121633 | 45 | 20.296 | 5993.0 |
336 | 2025-02-20 16:04:28 | tightnesses | 2 | 86808 | 10 | 11.750 | 7387.9 |
335 | 2025-02-20 16:04:25 | tightnesses | 1 | 49908 | 3 | 1.970 | 25334.0 |
334 | 2025-02-19 05:39:15 | tightnesses | 1 | 49908 | 3 | 4.453 | 11207.7 |
333 | 2025-02-03 19:08:35 | tightnesses | 4 | 148819 | 311 | 35.483 | 4194.1 |
332 | 2025-02-03 13:53:55 | tightnesses | 4 | 148819 | 311 | 50.156 | 2967.1 |
331 | 2025-02-02 15:56:42 | tightnesses | 4 | 148819 | 311 | 45.846 | 3246.1 |
330 | 2025-02-02 12:31:26 | tightnesses | 4 | 148819 | 311 | 57.613 | 2583.1 |
329 | 2025-02-02 12:31:32 | tightnesses | 2 | 86808 | 10 | 11.970 | 7252.1 |
328 | 2025-02-02 12:31:29 | tightnesses | 3 | 121633 | 45 | 12.453 | 9767.4 |
327 | 2025-02-02 12:28:09 | tightnesses | 1 | 49908 | 3 | 2.283 | 21860.7 |
326 | 2025-02-01 19:14:37 | tightnesses | 2 | 86808 | 10 | 11.890 | 7300.9 |
325 | 2025-01-22 02:48:45 | tightnesses | 3 | 121633 | 45 | 24.423 | 4980.3 |
324 | 2025-01-21 17:20:46 | tightnesses | 1 | 49908 | 3 | 5.283 | 9446.9 |
323 | 2025-01-21 01:11:10 | tightnesses | 3 | 121633 | 45 | 24.533 | 4957.9 |
322 | 2025-01-21 01:11:10 | tightnesses | 2 | 86808 | 10 | 9.546 | 9093.7 |
321 | 2025-01-21 01:09:12 | tightnesses | 1 | 49908 | 3 | 2.156 | 23148.4 |
320 | 2025-01-08 08:00:47 | tightnesses | 3 | 121633 | 45 | 27.890 | 4361.2 |
319 | 2025-01-05 06:55:54 | tightnesses | 1 | 49908 | 3 | 2.936 | 16998.6 |
318 | 2025-01-03 09:14:42 | tightnesses | 4 | 148819 | 311 | 47.300 | 3146.3 |
317 | 2025-01-02 07:12:04 | tightnesses | 3 | 121633 | 45 | 28.830 | 4219.0 |
316 | 2025-01-01 16:04:48 | tightnesses | 3 | 121633 | 45 | 32.056 | 3794.4 |
315 | 2025-01-01 13:01:41 | tightnesses | 4 | 148819 | 311 | 45.230 | 3290.3 |
314 | 2025-01-01 13:01:52 | tightnesses | 3 | 121633 | 45 | 31.876 | 3815.8 |
313 | 2025-01-01 13:01:47 | tightnesses | 2 | 86808 | 10 | 16.680 | 5204.3 |
312 | 2025-01-01 13:01:21 | tightnesses | 1 | 49908 | 3 | 3.970 | 12571.3 |
311 | 2024-12-16 01:36:58 | tightnesses | 1 | 49908 | 3 | 4.060 | 12292.6 |
310 | 2024-12-13 21:48:42 | tightnesses | 3 | 121633 | 45 | 27.033 | 4499.4 |
309 | 2024-12-13 21:48:40 | tightnesses | 2 | 86808 | 10 | 13.030 | 6662.2 |
308 | 2024-12-13 21:47:30 | tightnesses | 1 | 49908 | 3 | 5.766 | 8655.6 |
307 | 2024-12-11 09:08:56 | tightnesses | 3 | 121633 | 45 | 24.940 | 4877.0 |
306 | 2024-12-06 04:56:02 | tightnesses | 2 | 86808 | 10 | 10.093 | 8600.8 |
305 | 2024-12-06 04:00:07 | tightnesses | 1 | 49908 | 3 | 3.970 | 12571.3 |
304 | 2024-12-03 02:00:11 | tightnesses | 3 | 121633 | 45 | 21.330 | 5702.4 |
303 | 2024-12-03 01:59:58 | tightnesses | 2 | 86808 | 10 | 10.470 | 8291.1 |
302 | 2024-12-02 04:12:04 | tightnesses | 4 | 148819 | 311 | 41.550 | 3581.7 |
301 | 2024-12-01 20:36:52 | tightnesses | 3 | 121633 | 45 | 14.623 | 8317.9 |
300 | 2024-12-01 20:36:55 | tightnesses | 2 | 86808 | 10 | 11.563 | 7507.4 |
299 | 2024-12-01 20:32:46 | tightnesses | 1 | 49908 | 3 | 0.843 | 59202.8 |
298 | 2024-11-30 16:09:58 | tightnesses | 4 | 148819 | 311 | 40.623 | 3663.4 |
297 | 2024-11-29 20:33:49 | tightnesses | 4 | 148819 | 311 | 41.660 | 3572.2 |
296 | 2024-11-15 02:52:45 | tightnesses | 4 | 148819 | 311 | 63.630 | 2338.8 |
295 | 2024-11-12 09:38:26 | tightnesses | 3 | 121633 | 45 | 26.740 | 4548.7 |
294 | 2024-11-10 03:49:43 | tightnesses | 1 | 49908 | 3 | 3.916 | 12744.6 |
293 | 2024-11-03 01:09:10 | tightnesses | 2 | 86808 | 10 | 19.983 | 4344.1 |
292 | 2024-11-02 07:33:43 | tightnesses | 3 | 121633 | 45 | 32.236 | 3773.2 |
291 | 2024-11-01 22:27:41 | tightnesses | 1 | 49908 | 3 | 2.343 | 21300.9 |
290 | 2024-11-01 21:30:00 | tightnesses | 2 | 86808 | 10 | 5.173 | 16781.0 |
289 | 2024-11-01 20:44:53 | tightnesses | 1 | 49908 | 3 | 3.330 | 14987.4 |
288 | 2024-11-01 19:21:22 | tightnesses | 4 | 148819 | 311 | 45.080 | 3301.2 |
287 | 2024-11-01 11:57:35 | tightnesses | 3 | 121633 | 45 | 24.843 | 4896.1 |
286 | 2024-10-30 18:45:23 | tightnesses | 4 | 148819 | 311 | 44.360 | 3354.8 |
285 | 2024-10-30 18:45:27 | tightnesses | 3 | 121633 | 45 | 21.783 | 5583.8 |
284 | 2024-10-30 18:45:24 | tightnesses | 2 | 86808 | 10 | 11.940 | 7270.4 |
283 | 2024-10-30 18:44:40 | tightnesses | 1 | 49908 | 3 | 3.406 | 14653.0 |
282 | 2024-10-15 20:58:30 | tightnesses | 3 | 121633 | 45 | 26.910 | 4520.0 |
281 | 2024-10-10 12:56:45 | tightnesses | 3 | 121633 | 45 | 19.613 | 6201.7 |
280 | 2024-10-10 12:54:45 | tightnesses | 1 | 49908 | 3 | 2.606 | 19151.2 |
279 | 2024-09-30 19:11:39 | tightnesses | 2 | 86808 | 10 | 18.376 | 4724.0 |
278 | 2024-09-26 14:44:29 | tightnesses | 3 | 121633 | 45 | 52.376 | 2322.3 |
277 | 2024-09-26 14:44:37 | tightnesses | 2 | 86808 | 10 | 17.453 | 4973.8 |
276 | 2024-09-26 14:39:10 | tightnesses | 1 | 49908 | 3 | 0.766 | 65154.0 |
275 | 2024-09-26 13:17:54 | tightnesses | 3 | 121633 | 45 | 41.233 | 2949.9 |
274 | 2024-09-20 10:10:47 | tightnesses | 3 | 121633 | 45 | 46.330 | 2625.4 |