History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"variability"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
387 | 2025-08-07 02:18:16 | variability | 4 | 148819 | 159 | 44.253 | 3362.9 |
386 | 2025-08-05 04:49:24 | variability | 1 | 49908 | 1 | 3.016 | 16547.7 |
385 | 2025-08-04 02:57:06 | variability | 1 | 49908 | 1 | 2.580 | 19344.2 |
384 | 2025-08-04 02:08:18 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
383 | 2025-08-03 02:30:30 | variability | 1 | 49908 | 1 | 2.046 | 24393.0 |
382 | 2025-08-02 10:43:31 | variability | 4 | 148819 | 159 | 39.643 | 3754.0 |
381 | 2025-07-27 19:55:09 | variability | 4 | 148819 | 159 | 33.690 | 4417.3 |
380 | 2025-07-19 16:12:05 | variability | 1 | 49908 | 1 | 0.843 | 59202.8 |
379 | 2025-07-11 23:14:47 | variability | 1 | 49908 | 1 | 0.800 | 62385.0 |
378 | 2025-07-08 08:15:59 | variability | 4 | 148819 | 159 | 68.770 | 2164.0 |
377 | 2025-07-07 12:07:32 | variability | 4 | 148819 | 159 | 49.940 | 2980.0 |
376 | 2025-07-07 02:16:22 | variability | 1 | 49908 | 1 | 3.593 | 13890.3 |
375 | 2025-07-04 11:23:30 | variability | 4 | 148819 | 159 | 10.000 | 14881.9 |
374 | 2025-07-02 12:46:29 | variability | 4 | 148819 | 159 | 56.430 | 2637.2 |
373 | 2025-07-01 20:37:12 | variability | 1 | 49908 | 1 | 4.233 | 11790.2 |
372 | 2025-06-25 06:37:17 | variability | 3 | 121633 | 49 | 28.066 | 4333.8 |
371 | 2025-06-23 01:17:17 | variability | 2 | 86808 | 6 | 2.156 | 40263.5 |
370 | 2025-06-22 12:51:00 | variability | 1 | 49908 | 1 | 4.423 | 11283.7 |
369 | 2025-06-21 20:49:58 | variability | 1 | 49908 | 1 | 4.093 | 12193.5 |
368 | 2025-06-09 11:17:59 | variability | 1 | 49908 | 1 | 1.186 | 42080.9 |
367 | 2025-06-06 07:29:41 | variability | 4 | 148819 | 159 | 45.063 | 3302.5 |
366 | 2025-06-06 05:07:53 | variability | 1 | 49908 | 1 | 4.376 | 11404.9 |
365 | 2025-06-05 23:31:49 | variability | 4 | 148819 | 159 | 27.516 | 5408.5 |
364 | 2025-06-04 02:00:50 | variability | 1 | 49908 | 1 | 2.016 | 24756.0 |
363 | 2025-06-02 20:27:48 | variability | 1 | 49908 | 1 | 0.720 | 69316.7 |
362 | 2025-06-01 10:58:47 | variability | 4 | 148819 | 159 | 27.986 | 5317.6 |
361 | 2025-05-30 23:32:06 | variability | 1 | 49908 | 1 | 5.970 | 8359.8 |
360 | 2025-05-28 20:32:11 | variability | 1 | 49908 | 1 | 4.953 | 10076.3 |
359 | 2025-05-26 22:23:09 | variability | 2 | 86808 | 6 | 12.526 | 6930.2 |
358 | 2025-05-26 03:07:32 | variability | 1 | 49908 | 1 | 4.203 | 11874.4 |
357 | 2025-05-25 21:05:47 | variability | 1 | 49908 | 1 | 0.783 | 63739.5 |
356 | 2025-05-25 01:50:42 | variability | 4 | 148819 | 159 | 9.000 | 16535.4 |
355 | 2025-05-24 00:27:29 | variability | 4 | 148819 | 159 | 44.393 | 3352.3 |
354 | 2025-05-22 14:51:16 | variability | 2 | 86808 | 6 | 12.046 | 7206.4 |
353 | 2025-05-22 07:08:15 | variability | 4 | 148819 | 159 | 57.633 | 2582.2 |
352 | 2025-05-11 06:29:47 | variability | 3 | 121633 | 49 | 11.216 | 10844.6 |
351 | 2025-05-09 18:47:56 | variability | 1 | 49908 | 1 | 0.736 | 67809.8 |
350 | 2025-05-08 07:01:42 | variability | 1 | 49908 | 1 | 3.736 | 13358.7 |
349 | 2025-05-06 11:07:24 | variability | 3 | 121633 | 49 | 29.733 | 4090.8 |
348 | 2025-05-04 06:49:29 | variability | 3 | 121633 | 49 | 27.673 | 4395.4 |
347 | 2025-05-01 07:37:40 | variability | 3 | 121633 | 49 | 10.550 | 11529.2 |
346 | 2025-04-30 02:07:10 | variability | 1 | 49908 | 1 | 1.860 | 26832.3 |
345 | 2025-04-26 02:46:32 | variability | 1 | 49908 | 1 | 4.296 | 11617.3 |
344 | 2025-04-13 20:45:27 | variability | 1 | 49908 | 1 | 3.843 | 12986.7 |
343 | 2025-04-07 06:51:45 | variability | 4 | 148819 | 159 | 48.190 | 3088.2 |
342 | 2025-04-07 01:11:36 | variability | 3 | 121633 | 49 | 23.203 | 5242.1 |
341 | 2025-04-06 06:26:38 | variability | 1 | 49908 | 1 | 4.890 | 10206.1 |
340 | 2025-03-29 07:59:57 | variability | 3 | 121633 | 49 | 19.893 | 6114.4 |
339 | 2025-03-29 07:27:27 | variability | 4 | 148819 | 159 | 37.783 | 3938.8 |
338 | 2025-03-28 02:39:13 | variability | 4 | 148819 | 159 | 10.906 | 13645.6 |
337 | 2025-03-27 08:34:27 | variability | 3 | 121633 | 49 | 26.066 | 4666.3 |
336 | 2025-03-25 06:48:18 | variability | 2 | 86808 | 6 | 11.656 | 7447.5 |
335 | 2025-03-25 01:09:21 | variability | 3 | 121633 | 49 | 20.956 | 5804.2 |
334 | 2025-03-23 03:35:26 | variability | 1 | 49908 | 1 | 3.500 | 14259.4 |
333 | 2025-03-22 02:32:17 | variability | 1 | 49908 | 1 | 0.813 | 61387.5 |
332 | 2025-03-14 08:43:46 | variability | 1 | 49908 | 1 | 3.156 | 15813.7 |
331 | 2025-03-04 13:23:03 | variability | 1 | 49908 | 1 | 2.046 | 24393.0 |
330 | 2025-03-03 03:30:57 | variability | 3 | 121633 | 49 | 38.110 | 3191.6 |
329 | 2025-03-01 20:25:44 | variability | 1 | 49908 | 1 | 2.376 | 21005.1 |
328 | 2025-02-16 12:26:47 | variability | 2 | 86808 | 6 | 9.686 | 8962.2 |
327 | 2025-02-16 12:26:35 | variability | 1 | 49908 | 1 | 1.673 | 29831.4 |
326 | 2025-02-16 12:00:43 | variability | 3 | 121633 | 49 | 29.576 | 4112.6 |
325 | 2025-02-16 12:00:22 | variability | 3 | 121633 | 49 | 15.313 | 7943.1 |
324 | 2025-02-14 10:50:13 | variability | 3 | 121633 | 49 | 37.566 | 3237.8 |
323 | 2025-02-14 08:53:42 | variability | 3 | 121633 | 49 | 32.923 | 3694.5 |
322 | 2025-02-14 05:27:41 | variability | 4 | 148819 | 159 | 52.316 | 2844.6 |
321 | 2025-02-14 02:48:34 | variability | 4 | 148819 | 159 | 45.783 | 3250.5 |
320 | 2025-02-14 02:48:33 | variability | 3 | 121633 | 49 | 27.170 | 4476.7 |
319 | 2025-02-14 02:48:31 | variability | 2 | 86808 | 6 | 11.796 | 7359.1 |
318 | 2025-02-14 02:48:03 | variability | 1 | 49908 | 1 | 3.940 | 12667.0 |
317 | 2025-02-11 12:00:42 | variability | 1 | 49908 | 1 | 4.060 | 12292.6 |
316 | 2025-01-20 16:39:05 | variability | 4 | 148819 | 159 | 49.893 | 2982.8 |
315 | 2025-01-12 11:19:15 | variability | 2 | 86808 | 6 | 11.550 | 7515.8 |
314 | 2025-01-12 11:18:53 | variability | 1 | 49908 | 1 | 3.830 | 13030.8 |
313 | 2025-01-12 11:16:28 | variability | 4 | 148819 | 159 | 46.753 | 3183.1 |
312 | 2025-01-12 11:16:15 | variability | 3 | 121633 | 49 | 25.940 | 4689.0 |
311 | 2025-01-12 08:38:05 | variability | 4 | 148819 | 159 | 36.970 | 4025.4 |
310 | 2025-01-12 08:38:06 | variability | 2 | 86808 | 6 | 5.486 | 15823.6 |
309 | 2025-01-12 08:37:54 | variability | 1 | 49908 | 1 | 1.466 | 34043.7 |
308 | 2025-01-11 21:42:20 | variability | 3 | 121633 | 49 | 24.063 | 5054.8 |
307 | 2025-01-08 08:19:00 | variability | 3 | 121633 | 49 | 16.250 | 7485.1 |
306 | 2025-01-08 08:18:43 | variability | 1 | 49908 | 1 | 3.733 | 13369.4 |
305 | 2025-01-07 10:31:31 | variability | 3 | 121633 | 49 | 24.780 | 4908.5 |
304 | 2025-01-07 10:31:32 | variability | 2 | 86808 | 6 | 11.860 | 7319.4 |
303 | 2025-01-07 10:29:27 | variability | 3 | 121633 | 49 | 24.470 | 4970.7 |
302 | 2025-01-07 10:28:32 | variability | 1 | 49908 | 1 | 2.733 | 18261.3 |
301 | 2024-12-10 07:49:05 | variability | 1 | 49908 | 1 | 1.970 | 25334.0 |
300 | 2024-12-08 04:47:28 | variability | 1 | 49908 | 1 | 3.940 | 12667.0 |
299 | 2024-12-07 21:00:38 | variability | 3 | 121633 | 49 | 39.940 | 3045.4 |
298 | 2024-12-07 20:16:06 | variability | 3 | 121633 | 49 | 25.376 | 4793.2 |
297 | 2024-12-05 22:01:10 | variability | 3 | 121633 | 49 | 35.050 | 3470.3 |
296 | 2024-12-05 14:58:39 | variability | 3 | 121633 | 49 | 37.673 | 3228.7 |
295 | 2024-12-05 14:58:39 | variability | 2 | 86808 | 6 | 5.640 | 15391.5 |
294 | 2024-12-05 14:57:15 | variability | 3 | 121633 | 49 | 30.533 | 3983.7 |
293 | 2024-12-05 14:54:33 | variability | 1 | 49908 | 1 | 2.376 | 21005.1 |
292 | 2024-11-15 08:36:22 | variability | 2 | 86808 | 6 | 6.766 | 12830.0 |
291 | 2024-11-07 10:02:14 | variability | 2 | 86808 | 6 | 2.186 | 39710.9 |
290 | 2024-11-07 10:02:07 | variability | 1 | 49908 | 1 | 0.750 | 66544.0 |
289 | 2024-11-03 02:46:51 | variability | 3 | 121633 | 49 | 44.860 | 2711.4 |
288 | 2024-11-02 09:26:35 | variability | 3 | 121633 | 49 | 13.570 | 8963.4 |