History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"polymerised"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
395 | 2025-09-15 11:57:50 | polymerised | 5 | 164607 | 324 | 13.923 | 11822.7 |
394 | 2025-09-15 09:15:49 | polymerised | 4 | 148819 | 50 | 16.640 | 8943.4 |
393 | 2025-09-10 05:28:00 | polymerised | 1 | 49908 | 4 | 1.750 | 28518.9 |
392 | 2025-09-09 23:21:32 | polymerised | 4 | 148819 | 50 | 8.390 | 17737.7 |
391 | 2025-09-06 16:27:40 | polymerised | 1 | 49908 | 4 | 0.766 | 65154.0 |
390 | 2025-08-27 09:10:52 | polymerised | 1 | 49908 | 4 | 3.000 | 16636.0 |
389 | 2025-08-09 07:27:47 | polymerised | 1 | 49908 | 4 | 5.093 | 9799.3 |
388 | 2025-07-24 14:52:58 | polymerised | 1 | 49908 | 4 | 4.233 | 11790.2 |
387 | 2025-07-24 07:55:04 | polymerised | 1 | 49908 | 4 | 4.186 | 11922.6 |
386 | 2025-07-22 14:17:17 | polymerised | 1 | 49908 | 4 | 2.186 | 22830.7 |
385 | 2025-07-17 15:03:35 | polymerised | 1 | 49908 | 4 | 4.593 | 10866.1 |
384 | 2025-07-08 15:22:28 | polymerised | 4 | 148819 | 50 | 42.830 | 3474.6 |
383 | 2025-07-06 09:35:34 | polymerised | 2 | 86808 | 10 | 2.343 | 37049.9 |
382 | 2025-07-04 02:09:27 | polymerised | 4 | 148819 | 50 | 30.126 | 4939.9 |
381 | 2025-07-02 18:25:55 | polymerised | 3 | 121633 | 17 | 26.423 | 4603.3 |
380 | 2025-06-30 05:48:27 | polymerised | 3 | 121633 | 17 | 33.216 | 3661.9 |
379 | 2025-06-29 06:28:01 | polymerised | 1 | 49908 | 4 | 0.876 | 56972.6 |
378 | 2025-06-28 12:10:09 | polymerised | 1 | 49908 | 4 | 3.796 | 13147.5 |
377 | 2025-06-26 14:38:24 | polymerised | 4 | 148819 | 50 | 41.816 | 3558.9 |
376 | 2025-06-23 10:43:30 | polymerised | 4 | 148819 | 50 | 17.000 | 8754.1 |
375 | 2025-06-16 09:22:17 | polymerised | 4 | 148819 | 50 | 35.940 | 4140.8 |
374 | 2025-06-14 10:35:53 | polymerised | 1 | 49908 | 4 | 2.530 | 19726.5 |
373 | 2025-06-06 10:05:20 | polymerised | 4 | 148819 | 50 | 47.080 | 3161.0 |
372 | 2025-05-29 05:31:50 | polymerised | 1 | 49908 | 4 | 4.983 | 10015.7 |
371 | 2025-05-28 16:48:07 | polymerised | 1 | 49908 | 4 | 0.843 | 59202.8 |
370 | 2025-05-27 11:56:07 | polymerised | 1 | 49908 | 4 | 3.453 | 14453.5 |
369 | 2025-05-23 03:48:31 | polymerised | 4 | 148819 | 50 | 43.320 | 3435.3 |
368 | 2025-05-22 03:29:30 | polymerised | 4 | 148819 | 50 | 49.600 | 3000.4 |
367 | 2025-05-19 15:39:26 | polymerised | 4 | 148819 | 50 | 14.640 | 10165.2 |
366 | 2025-05-07 15:20:42 | polymerised | 2 | 86808 | 10 | 2.516 | 34502.4 |
365 | 2025-05-04 00:53:04 | polymerised | 4 | 148819 | 50 | 38.033 | 3912.9 |
364 | 2025-04-26 16:40:06 | polymerised | 4 | 148819 | 50 | 49.583 | 3001.4 |
363 | 2025-04-26 05:26:42 | polymerised | 2 | 86808 | 10 | 16.360 | 5306.1 |
362 | 2025-04-25 11:47:59 | polymerised | 1 | 49908 | 4 | 0.876 | 56972.6 |
361 | 2025-04-21 04:09:55 | polymerised | 2 | 86808 | 10 | 12.326 | 7042.7 |
360 | 2025-04-20 09:05:25 | polymerised | 1 | 49908 | 4 | 1.640 | 30431.7 |
359 | 2025-04-18 02:40:55 | polymerised | 4 | 148819 | 50 | 62.613 | 2376.8 |
358 | 2025-04-02 11:10:59 | polymerised | 1 | 49908 | 4 | 3.953 | 12625.3 |
357 | 2025-04-01 05:20:14 | polymerised | 4 | 148819 | 50 | 46.083 | 3229.4 |
356 | 2025-03-31 19:02:54 | polymerised | 4 | 148819 | 50 | 36.380 | 4090.7 |
355 | 2025-03-25 17:53:15 | polymerised | 4 | 148819 | 50 | 56.093 | 2653.1 |
354 | 2025-03-24 21:20:32 | polymerised | 4 | 148819 | 50 | 30.643 | 4856.5 |
353 | 2025-03-24 21:02:19 | polymerised | 4 | 148819 | 50 | 9.800 | 15185.6 |
352 | 2025-03-24 09:00:07 | polymerised | 1 | 49908 | 4 | 4.623 | 10795.6 |
351 | 2025-03-24 08:19:18 | polymerised | 2 | 86808 | 10 | 19.736 | 4398.5 |
350 | 2025-03-24 07:50:07 | polymerised | 3 | 121633 | 17 | 21.046 | 5779.4 |
349 | 2025-03-22 14:09:17 | polymerised | 1 | 49908 | 4 | 1.346 | 37078.8 |
348 | 2025-03-16 13:30:42 | polymerised | 3 | 121633 | 17 | 25.343 | 4799.5 |
347 | 2025-03-12 01:42:39 | polymerised | 4 | 148819 | 50 | 39.126 | 3803.6 |
346 | 2025-03-12 01:42:36 | polymerised | 3 | 121633 | 17 | 35.313 | 3444.4 |
345 | 2025-03-12 01:42:31 | polymerised | 2 | 86808 | 10 | 10.753 | 8072.9 |
344 | 2025-03-12 01:39:02 | polymerised | 1 | 49908 | 4 | 2.936 | 16998.6 |
343 | 2025-02-24 06:53:15 | polymerised | 4 | 148819 | 50 | 49.703 | 2994.2 |
342 | 2025-02-22 01:56:00 | polymerised | 4 | 148819 | 50 | 41.753 | 3564.3 |
341 | 2025-02-21 23:21:54 | polymerised | 4 | 148819 | 50 | 40.270 | 3695.5 |
340 | 2025-02-14 13:13:17 | polymerised | 1 | 49908 | 4 | 4.110 | 12143.1 |
339 | 2025-02-06 16:34:11 | polymerised | 4 | 148819 | 50 | 52.046 | 2859.4 |
338 | 2025-02-06 16:34:34 | polymerised | 3 | 121633 | 17 | 26.406 | 4606.3 |
337 | 2025-02-06 16:34:29 | polymerised | 2 | 86808 | 10 | 17.436 | 4978.7 |
336 | 2025-02-06 16:30:55 | polymerised | 1 | 49908 | 4 | 0.906 | 55086.1 |
335 | 2025-02-03 03:03:19 | polymerised | 2 | 86808 | 10 | 14.910 | 5822.1 |
334 | 2025-02-02 12:21:08 | polymerised | 2 | 86808 | 10 | 13.813 | 6284.5 |
333 | 2025-02-02 10:29:52 | polymerised | 4 | 148819 | 50 | 53.783 | 2767.0 |
332 | 2025-02-02 10:29:52 | polymerised | 3 | 121633 | 17 | 22.483 | 5410.0 |
331 | 2025-02-01 18:52:02 | polymerised | 3 | 121633 | 17 | 26.343 | 4617.3 |
330 | 2025-01-30 18:22:24 | polymerised | 1 | 49908 | 4 | 1.983 | 25167.9 |
329 | 2025-01-30 09:27:20 | polymerised | 3 | 121633 | 17 | 20.110 | 6048.4 |
328 | 2025-01-30 09:27:25 | polymerised | 2 | 86808 | 10 | 12.423 | 6987.7 |
327 | 2025-01-30 09:26:33 | polymerised | 4 | 148819 | 50 | 44.610 | 3336.0 |
326 | 2025-01-30 09:24:28 | polymerised | 1 | 49908 | 4 | 2.826 | 17660.3 |
325 | 2025-01-28 23:43:18 | polymerised | 1 | 49908 | 4 | 2.156 | 23148.4 |
324 | 2025-01-19 23:53:08 | polymerised | 4 | 148819 | 50 | 35.220 | 4225.4 |
323 | 2025-01-18 22:32:04 | polymerised | 4 | 148819 | 50 | 40.706 | 3655.9 |
322 | 2025-01-17 14:19:24 | polymerised | 4 | 148819 | 50 | 47.300 | 3146.3 |
321 | 2025-01-11 18:16:05 | polymerised | 1 | 49908 | 4 | 4.033 | 12374.9 |
320 | 2025-01-04 23:45:47 | polymerised | 3 | 121633 | 17 | 24.940 | 4877.0 |
319 | 2025-01-04 23:45:48 | polymerised | 2 | 86808 | 10 | 12.096 | 7176.6 |
318 | 2025-01-04 23:44:25 | polymerised | 4 | 148819 | 50 | 48.410 | 3074.1 |
317 | 2025-01-04 23:42:38 | polymerised | 1 | 49908 | 4 | 3.046 | 16384.8 |
316 | 2025-01-02 12:02:25 | polymerised | 2 | 86808 | 10 | 17.000 | 5106.4 |
315 | 2025-01-02 12:02:06 | polymerised | 3 | 121633 | 17 | 25.096 | 4846.7 |
314 | 2024-12-27 06:56:33 | polymerised | 3 | 121633 | 17 | 26.516 | 4587.2 |
313 | 2024-12-26 03:27:18 | polymerised | 2 | 86808 | 10 | 12.186 | 7123.6 |
312 | 2024-12-26 03:26:38 | polymerised | 4 | 148819 | 50 | 42.330 | 3515.7 |
311 | 2024-12-26 03:26:16 | polymerised | 1 | 49908 | 4 | 2.406 | 20743.1 |
310 | 2024-12-24 01:26:04 | polymerised | 4 | 148819 | 50 | 54.836 | 2713.9 |
309 | 2024-12-24 01:26:08 | polymerised | 3 | 121633 | 17 | 29.110 | 4178.4 |
308 | 2024-12-24 01:26:12 | polymerised | 2 | 86808 | 10 | 9.906 | 8763.2 |
307 | 2024-12-24 01:23:38 | polymerised | 1 | 49908 | 4 | 2.216 | 22521.7 |
306 | 2024-12-19 22:25:56 | polymerised | 4 | 148819 | 50 | 51.863 | 2869.5 |
305 | 2024-12-17 07:09:06 | polymerised | 4 | 148819 | 50 | 45.283 | 3286.4 |
304 | 2024-12-17 02:45:48 | polymerised | 4 | 148819 | 50 | 47.720 | 3118.6 |
303 | 2024-12-16 18:44:09 | polymerised | 4 | 148819 | 50 | 40.800 | 3647.5 |
302 | 2024-11-29 08:23:12 | polymerised | 2 | 86808 | 10 | 10.596 | 8192.5 |
301 | 2024-11-29 08:22:25 | polymerised | 4 | 148819 | 50 | 53.126 | 2801.2 |
300 | 2024-11-29 08:21:59 | polymerised | 1 | 49908 | 4 | 1.560 | 31992.3 |
299 | 2024-11-24 22:08:27 | polymerised | 4 | 148819 | 50 | 51.440 | 2893.1 |
298 | 2024-11-24 22:08:31 | polymerised | 2 | 86808 | 10 | 12.046 | 7206.4 |
297 | 2024-11-24 22:07:27 | polymerised | 1 | 49908 | 4 | 6.593 | 7569.8 |
296 | 2024-11-24 13:11:57 | polymerised | 3 | 121633 | 17 | 25.893 | 4697.5 |