History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"shallowness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
389 | 2025-09-10 10:12:19 | shallowness | 1 | 49908 | 2 | 1.673 | 29831.4 |
388 | 2025-08-25 06:18:15 | shallowness | 1 | 49908 | 2 | 4.356 | 11457.3 |
387 | 2025-08-20 19:26:35 | shallowness | 1 | 49908 | 2 | 4.046 | 12335.1 |
386 | 2025-08-11 10:34:49 | shallowness | 1 | 49908 | 2 | 3.250 | 15356.3 |
385 | 2025-08-09 08:46:59 | shallowness | 1 | 49908 | 2 | 4.013 | 12436.6 |
384 | 2025-08-02 04:02:43 | shallowness | 1 | 49908 | 2 | 1.860 | 26832.3 |
383 | 2025-07-25 13:32:53 | shallowness | 2 | 86808 | 7 | 9.876 | 8789.8 |
382 | 2025-07-25 02:50:51 | shallowness | 1 | 49908 | 2 | 2.296 | 21736.9 |
381 | 2025-07-24 20:19:09 | shallowness | 3 | 121633 | 20 | 19.406 | 6267.8 |
380 | 2025-07-24 03:45:45 | shallowness | 1 | 49908 | 2 | 4.936 | 10111.0 |
379 | 2025-07-23 15:49:45 | shallowness | 1 | 49908 | 2 | 4.330 | 11526.1 |
378 | 2025-07-22 23:31:01 | shallowness | 1 | 49908 | 2 | 3.266 | 15281.1 |
377 | 2025-07-21 23:50:28 | shallowness | 1 | 49908 | 2 | 0.750 | 66544.0 |
376 | 2025-07-17 11:44:03 | shallowness | 1 | 49908 | 2 | 2.000 | 24954.0 |
375 | 2025-07-14 15:29:35 | shallowness | 1 | 49908 | 2 | 4.953 | 10076.3 |
374 | 2025-07-11 01:49:27 | shallowness | 1 | 49908 | 2 | 2.173 | 22967.3 |
373 | 2025-07-10 07:45:50 | shallowness | 1 | 49908 | 2 | 4.263 | 11707.2 |
372 | 2025-07-03 19:47:45 | shallowness | 1 | 49908 | 2 | 0.953 | 52369.4 |
371 | 2025-07-03 05:29:08 | shallowness | 1 | 49908 | 2 | 0.890 | 56076.4 |
370 | 2025-07-02 01:58:31 | shallowness | 1 | 49908 | 2 | 5.843 | 8541.5 |
369 | 2025-06-18 02:45:28 | shallowness | 1 | 49908 | 2 | 3.483 | 14329.0 |
368 | 2025-06-16 08:00:31 | shallowness | 1 | 49908 | 2 | 4.170 | 11968.3 |
367 | 2025-05-30 04:41:47 | shallowness | 1 | 49908 | 2 | 0.843 | 59202.8 |
366 | 2025-04-30 14:49:42 | shallowness | 1 | 49908 | 2 | 4.080 | 12232.4 |
365 | 2025-04-28 07:28:30 | shallowness | 1 | 49908 | 2 | 2.390 | 20882.0 |
364 | 2025-04-20 03:26:34 | shallowness | 1 | 49908 | 2 | 3.610 | 13824.9 |
363 | 2025-04-08 05:57:09 | shallowness | 1 | 49908 | 2 | 2.266 | 22024.7 |
362 | 2025-04-04 00:36:11 | shallowness | 4 | 148819 | 78 | 39.270 | 3789.6 |
361 | 2025-04-01 19:15:18 | shallowness | 1 | 49908 | 2 | 1.703 | 29305.9 |
360 | 2025-04-01 08:10:34 | shallowness | 4 | 148819 | 78 | 42.236 | 3523.5 |
359 | 2025-03-17 21:22:33 | shallowness | 4 | 148819 | 78 | 54.180 | 2746.8 |
358 | 2025-03-17 19:32:13 | shallowness | 2 | 86808 | 7 | 8.203 | 10582.5 |
357 | 2025-03-17 02:43:28 | shallowness | 4 | 148819 | 78 | 64.266 | 2315.7 |
356 | 2025-03-08 15:53:13 | shallowness | 1 | 49908 | 2 | 4.030 | 12384.1 |
355 | 2025-03-05 20:39:58 | shallowness | 3 | 121633 | 20 | 13.733 | 8857.0 |
354 | 2025-02-27 15:36:17 | shallowness | 3 | 121633 | 20 | 36.016 | 3377.2 |
353 | 2025-02-27 13:57:31 | shallowness | 2 | 86808 | 7 | 11.660 | 7444.9 |
352 | 2025-02-27 13:50:49 | shallowness | 1 | 49908 | 2 | 3.563 | 14007.3 |
351 | 2025-02-27 13:04:19 | shallowness | 3 | 121633 | 20 | 31.376 | 3876.6 |
350 | 2025-02-26 14:49:00 | shallowness | 3 | 121633 | 20 | 26.140 | 4653.1 |
349 | 2025-02-26 14:48:45 | shallowness | 1 | 49908 | 2 | 6.156 | 8107.2 |
348 | 2025-02-22 12:07:05 | shallowness | 3 | 121633 | 20 | 29.703 | 4095.0 |
347 | 2025-02-19 01:03:15 | shallowness | 4 | 148819 | 78 | 61.130 | 2434.5 |
346 | 2025-02-17 13:16:11 | shallowness | 3 | 121633 | 20 | 22.453 | 5417.2 |
345 | 2025-02-16 18:51:31 | shallowness | 1 | 49908 | 2 | 4.016 | 12427.3 |
344 | 2025-02-15 12:39:48 | shallowness | 4 | 148819 | 78 | 43.080 | 3454.5 |
343 | 2025-02-15 12:39:43 | shallowness | 3 | 121633 | 20 | 40.373 | 3012.7 |
342 | 2025-02-15 12:39:42 | shallowness | 2 | 86808 | 7 | 11.263 | 7707.4 |
341 | 2025-02-15 12:38:40 | shallowness | 4 | 148819 | 78 | 47.576 | 3128.0 |
340 | 2025-02-15 12:37:17 | shallowness | 1 | 49908 | 2 | 2.970 | 16804.0 |
339 | 2025-02-13 07:40:43 | shallowness | 2 | 86808 | 7 | 10.906 | 7959.7 |
338 | 2025-01-24 18:46:31 | shallowness | 1 | 49908 | 2 | 4.046 | 12335.1 |
337 | 2025-01-24 02:11:52 | shallowness | 2 | 86808 | 7 | 9.376 | 9258.5 |
336 | 2025-01-24 02:11:01 | shallowness | 1 | 49908 | 2 | 3.000 | 16636.0 |
335 | 2025-01-02 05:26:24 | shallowness | 4 | 148819 | 78 | 39.993 | 3721.1 |
334 | 2025-01-02 05:25:44 | shallowness | 1 | 49908 | 2 | 5.716 | 8731.3 |
333 | 2025-01-02 05:00:42 | shallowness | 2 | 86808 | 7 | 12.800 | 6781.9 |
332 | 2025-01-01 16:05:43 | shallowness | 1 | 49908 | 2 | 1.846 | 27035.8 |
331 | 2025-01-01 03:25:49 | shallowness | 3 | 121633 | 20 | 23.486 | 5179.0 |
330 | 2024-12-30 05:11:22 | shallowness | 4 | 148819 | 78 | 54.003 | 2755.8 |
329 | 2024-12-25 14:53:15 | shallowness | 4 | 148819 | 78 | 48.830 | 3047.7 |
328 | 2024-12-25 04:40:29 | shallowness | 4 | 148819 | 78 | 35.690 | 4169.8 |
327 | 2024-12-25 04:40:14 | shallowness | 4 | 148819 | 78 | 45.316 | 3284.0 |
326 | 2024-12-25 04:40:31 | shallowness | 3 | 121633 | 20 | 26.126 | 4655.6 |
325 | 2024-12-25 04:40:31 | shallowness | 2 | 86808 | 7 | 11.346 | 7651.0 |
324 | 2024-12-25 04:38:07 | shallowness | 1 | 49908 | 2 | 1.783 | 27991.0 |
323 | 2024-12-18 03:53:01 | shallowness | 1 | 49908 | 2 | 5.813 | 8585.6 |
322 | 2024-12-01 00:11:33 | shallowness | 1 | 49908 | 2 | 3.966 | 12584.0 |
321 | 2024-11-21 23:01:22 | shallowness | 1 | 49908 | 2 | 4.046 | 12335.1 |
320 | 2024-11-16 20:03:05 | shallowness | 3 | 121633 | 20 | 22.610 | 5379.6 |
319 | 2024-11-16 19:28:13 | shallowness | 1 | 49908 | 2 | 2.123 | 23508.2 |
318 | 2024-11-11 19:00:27 | shallowness | 3 | 121633 | 20 | 27.080 | 4491.6 |
317 | 2024-11-11 19:00:22 | shallowness | 2 | 86808 | 7 | 14.533 | 5973.2 |
316 | 2024-11-11 11:58:24 | shallowness | 4 | 148819 | 78 | 45.086 | 3300.8 |
315 | 2024-11-11 00:40:12 | shallowness | 4 | 148819 | 78 | 61.753 | 2409.9 |
314 | 2024-11-08 20:11:15 | shallowness | 4 | 148819 | 78 | 52.220 | 2849.8 |
313 | 2024-11-08 20:11:18 | shallowness | 4 | 148819 | 78 | 40.050 | 3715.8 |
312 | 2024-11-08 20:11:19 | shallowness | 3 | 121633 | 20 | 17.206 | 7069.2 |
311 | 2024-11-08 20:11:21 | shallowness | 2 | 86808 | 7 | 9.126 | 9512.2 |
310 | 2024-11-08 07:20:20 | shallowness | 1 | 49908 | 2 | 5.063 | 9857.4 |
309 | 2024-10-15 07:09:52 | shallowness | 1 | 49908 | 2 | 3.280 | 15215.9 |
308 | 2024-10-06 20:29:07 | shallowness | 1 | 49908 | 2 | 10.170 | 4907.4 |
307 | 2024-10-03 11:08:33 | shallowness | 1 | 49908 | 2 | 6.190 | 8062.7 |
306 | 2024-09-18 15:22:53 | shallowness | 2 | 86808 | 7 | 27.173 | 3194.6 |
305 | 2024-09-13 12:34:45 | shallowness | 3 | 121633 | 20 | 27.456 | 4430.1 |
304 | 2024-09-10 13:18:38 | shallowness | 3 | 121633 | 20 | 54.470 | 2233.0 |
303 | 2024-09-10 13:18:30 | shallowness | 3 | 121633 | 20 | 39.690 | 3064.6 |
302 | 2024-09-09 20:54:21 | shallowness | 2 | 86808 | 7 | 9.516 | 9122.3 |
301 | 2024-09-09 19:13:21 | shallowness | 3 | 121633 | 20 | 70.066 | 1736.0 |
300 | 2024-09-09 19:13:01 | shallowness | 4 | 148819 | 78 | 74.193 | 2005.8 |
299 | 2024-09-09 19:13:25 | shallowness | 2 | 86808 | 7 | 36.863 | 2354.9 |
298 | 2024-09-09 19:10:07 | shallowness | 1 | 49908 | 2 | 2.686 | 18580.8 |
297 | 2024-09-02 06:15:48 | shallowness | 1 | 49908 | 2 | 3.156 | 15813.7 |
296 | 2024-08-23 10:27:49 | shallowness | 1 | 49908 | 2 | 6.143 | 8124.4 |
295 | 2024-08-08 23:04:09 | shallowness | 1 | 49908 | 2 | 2.686 | 18580.8 |
294 | 2024-07-13 12:52:47 | shallowness | 4 | 148819 | 78 | 49.626 | 2998.8 |
293 | 2024-07-11 18:40:47 | shallowness | 4 | 148819 | 78 | 37.236 | 3996.6 |
292 | 2024-07-11 04:44:12 | shallowness | 4 | 148819 | 78 | 39.110 | 3805.1 |
291 | 2024-07-11 04:44:05 | shallowness | 3 | 121633 | 20 | 26.860 | 4528.4 |
290 | 2024-07-09 19:40:55 | shallowness | 4 | 148819 | 78 | 18.923 | 7864.5 |