History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"wabbliest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
389 | 2024-04-30 11:55:45 | wabbliest | 3 | 148641 | 95 | 21.580 | 6887.9 |
388 | 2024-04-30 11:55:33 | wabbliest | 2 | 121436 | 15 | 5.250 | 23130.7 |
387 | 2024-04-28 09:16:53 | wabbliest | 4 | 165329 | 624 | 39.656 | 4169.1 |
386 | 2024-04-27 08:38:55 | wabbliest | 1 | 81242 | 3 | 2.936 | 27671.0 |
385 | 2024-04-26 10:47:05 | wabbliest | 2 | 121436 | 15 | 3.560 | 34111.2 |
384 | 2024-04-25 11:22:30 | wabbliest | 4 | 165329 | 624 | 32.503 | 5086.6 |
383 | 2024-04-25 11:22:25 | wabbliest | 3 | 148641 | 95 | 27.673 | 5371.3 |
382 | 2024-04-25 11:22:26 | wabbliest | 2 | 121436 | 15 | 9.093 | 13354.9 |
381 | 2024-04-25 10:41:44 | wabbliest | 1 | 81242 | 3 | 2.906 | 27956.6 |
380 | 2024-04-11 07:48:11 | wabbliest | 1 | 81242 | 3 | 1.500 | 54161.3 |
379 | 2024-04-08 05:06:35 | wabbliest | 1 | 81242 | 3 | 4.736 | 17154.1 |
378 | 2024-04-06 07:49:55 | wabbliest | 1 | 81242 | 3 | 4.720 | 17212.3 |
377 | 2024-04-05 03:45:49 | wabbliest | 4 | 165329 | 624 | 24.610 | 6718.0 |
376 | 2024-03-28 07:19:09 | wabbliest | 1 | 81242 | 3 | 1.346 | 60358.1 |
375 | 2024-03-25 20:43:59 | wabbliest | 4 | 165329 | 624 | 14.893 | 11101.1 |
374 | 2024-03-24 11:16:23 | wabbliest | 4 | 165329 | 624 | 29.360 | 5631.1 |
373 | 2024-03-23 02:41:40 | wabbliest | 4 | 165329 | 624 | 33.813 | 4889.5 |
372 | 2024-03-22 07:50:43 | wabbliest | 4 | 165329 | 624 | 21.483 | 7695.8 |
371 | 2024-03-22 07:50:45 | wabbliest | 2 | 121436 | 15 | 11.953 | 10159.5 |
370 | 2024-03-22 06:39:59 | wabbliest | 1 | 81242 | 3 | 1.330 | 61084.2 |
369 | 2024-03-18 19:01:33 | wabbliest | 1 | 81242 | 3 | 1.233 | 65889.7 |
368 | 2024-03-12 03:34:07 | wabbliest | 1 | 81242 | 3 | 1.233 | 65889.7 |
367 | 2024-03-11 20:36:52 | wabbliest | 1 | 81242 | 3 | 4.733 | 17165.0 |
366 | 2024-03-10 22:54:44 | wabbliest | 1 | 81242 | 3 | 1.280 | 63470.3 |
365 | 2024-03-09 20:24:51 | wabbliest | 1 | 81242 | 3 | 1.483 | 54782.2 |
364 | 2024-03-07 17:04:36 | wabbliest | 1 | 81242 | 3 | 1.530 | 53099.3 |
363 | 2024-03-07 12:03:59 | wabbliest | 3 | 148641 | 95 | 10.423 | 14260.9 |
362 | 2024-03-05 21:29:49 | wabbliest | 1 | 81242 | 3 | 1.750 | 46424.0 |
361 | 2024-03-05 20:31:07 | wabbliest | 3 | 148641 | 95 | 12.813 | 11600.8 |
360 | 2024-03-05 20:31:11 | wabbliest | 2 | 121436 | 15 | 8.406 | 14446.3 |
359 | 2024-03-05 19:43:31 | wabbliest | 1 | 81242 | 3 | 1.360 | 59736.8 |
358 | 2024-02-27 07:18:43 | wabbliest | 1 | 81242 | 3 | 2.953 | 27511.7 |
357 | 2024-02-26 06:26:47 | wabbliest | 4 | 165329 | 624 | 32.813 | 5038.5 |
356 | 2024-02-22 13:53:33 | wabbliest | 2 | 121436 | 15 | 8.453 | 14366.0 |
355 | 2024-02-21 22:45:27 | wabbliest | 4 | 165329 | 624 | 17.330 | 9540.0 |
354 | 2024-02-21 12:43:27 | wabbliest | 4 | 165329 | 624 | 23.253 | 7110.0 |
353 | 2024-02-20 12:47:25 | wabbliest | 4 | 165329 | 624 | 28.486 | 5803.9 |
352 | 2024-02-20 01:16:22 | wabbliest | 4 | 165329 | 624 | 37.376 | 4423.4 |
351 | 2024-02-20 01:16:19 | wabbliest | 2 | 121436 | 15 | 9.530 | 12742.5 |
350 | 2024-02-19 16:08:05 | wabbliest | 1 | 81242 | 3 | 3.033 | 26786.0 |
349 | 2024-01-31 19:23:04 | wabbliest | 1 | 81242 | 3 | 1.296 | 62686.7 |
348 | 2024-01-24 05:20:28 | wabbliest | 3 | 148641 | 95 | 6.640 | 22385.7 |
347 | 2024-01-21 00:49:02 | wabbliest | 1 | 81242 | 3 | 1.186 | 68500.8 |
346 | 2024-01-20 01:14:40 | wabbliest | 1 | 81242 | 3 | 1.406 | 57782.4 |
345 | 2024-01-19 06:59:56 | wabbliest | 1 | 81242 | 3 | 1.296 | 62686.7 |
344 | 2024-01-18 18:13:05 | wabbliest | 1 | 81242 | 3 | 1.376 | 59042.2 |
343 | 2024-01-17 20:45:06 | wabbliest | 1 | 81242 | 3 | 1.203 | 67532.8 |
342 | 2024-01-11 04:50:13 | wabbliest | 1 | 81242 | 3 | 1.436 | 56575.2 |
341 | 2023-12-29 16:13:41 | wabbliest | 1 | 81242 | 3 | 1.390 | 58447.5 |
340 | 2023-12-28 21:51:46 | wabbliest | 1 | 81242 | 3 | 1.343 | 60492.9 |
339 | 2023-12-23 01:46:34 | wabbliest | 3 | 148641 | 95 | 5.843 | 25439.2 |
338 | 2023-12-21 00:09:18 | wabbliest | 2 | 121436 | 15 | 3.406 | 35653.6 |
337 | 2023-12-15 17:12:54 | wabbliest | 1 | 81242 | 3 | 1.660 | 48941.0 |
336 | 2023-12-07 12:14:45 | wabbliest | 4 | 165329 | 624 | 12.830 | 12886.1 |
335 | 2023-12-03 14:04:24 | wabbliest | 1 | 81242 | 3 | 1.343 | 60492.9 |
334 | 2023-11-05 20:28:02 | wabbliest | 1 | 81242 | 3 | 1.436 | 56575.2 |
333 | 2023-11-02 21:06:27 | wabbliest | 3 | 148641 | 95 | 6.236 | 23836.0 |
332 | 2023-10-23 18:27:28 | wabbliest | 1 | 81242 | 3 | 2.750 | 29542.5 |
331 | 2023-10-06 17:07:15 | wabbliest | 1 | 81242 | 3 | 1.216 | 66810.9 |
330 | 2023-10-02 17:54:26 | wabbliest | 1 | 81242 | 3 | 1.203 | 67532.8 |
329 | 2023-09-22 06:36:24 | wabbliest | 2 | 121436 | 15 | 6.016 | 20185.5 |
328 | 2023-09-12 03:42:51 | wabbliest | 1 | 81242 | 3 | 1.406 | 57782.4 |
327 | 2023-09-12 01:29:00 | wabbliest | 4 | 165329 | 624 | 21.003 | 7871.7 |
326 | 2023-09-04 22:24:50 | wabbliest | 4 | 165329 | 624 | 10.233 | 16156.5 |
325 | 2023-08-12 06:48:15 | wabbliest | 1 | 81242 | 3 | 1.343 | 60492.9 |
324 | 2023-08-09 23:49:49 | wabbliest | 3 | 148641 | 95 | 5.783 | 25703.1 |
323 | 2023-07-31 15:01:32 | wabbliest | 1 | 81242 | 3 | 1.346 | 60358.1 |
322 | 2023-07-30 14:30:05 | wabbliest | 1 | 81242 | 3 | 1.203 | 67532.8 |
321 | 2023-07-30 11:26:38 | wabbliest | 1 | 81242 | 3 | 1.233 | 65889.7 |
320 | 2023-07-16 00:38:51 | wabbliest | 4 | 165329 | 624 | 12.143 | 13615.2 |
319 | 2023-07-15 11:28:41 | wabbliest | 4 | 165329 | 624 | 11.563 | 14298.1 |
318 | 2023-07-09 04:36:07 | wabbliest | 1 | 81242 | 3 | 1.233 | 65889.7 |
317 | 2023-07-08 13:32:34 | wabbliest | 1 | 81242 | 3 | 1.326 | 61268.5 |
316 | 2023-07-07 06:55:11 | wabbliest | 1 | 81242 | 3 | 1.236 | 65729.8 |
315 | 2023-07-06 19:01:31 | wabbliest | 1 | 81242 | 3 | 1.220 | 66591.8 |
314 | 2023-07-05 00:26:46 | wabbliest | 1 | 81242 | 3 | 1.343 | 60492.9 |
313 | 2023-07-04 08:01:44 | wabbliest | 1 | 81242 | 3 | 1.190 | 68270.6 |
312 | 2023-07-03 18:51:26 | wabbliest | 1 | 81242 | 3 | 1.220 | 66591.8 |
311 | 2023-07-03 00:23:41 | wabbliest | 1 | 81242 | 3 | 1.220 | 66591.8 |
310 | 2023-07-02 07:18:29 | wabbliest | 1 | 81242 | 3 | 1.343 | 60492.9 |
309 | 2023-07-01 20:35:04 | wabbliest | 1 | 81242 | 3 | 1.373 | 59171.2 |
308 | 2023-07-01 03:01:39 | wabbliest | 1 | 81242 | 3 | 1.266 | 64172.2 |
307 | 2023-06-30 07:03:45 | wabbliest | 1 | 81242 | 3 | 1.203 | 67532.8 |
306 | 2023-06-29 18:51:59 | wabbliest | 1 | 81242 | 3 | 1.203 | 67532.8 |
305 | 2023-06-29 01:08:02 | wabbliest | 1 | 81242 | 3 | 1.173 | 69260.0 |
304 | 2023-06-28 12:22:04 | wabbliest | 1 | 81242 | 3 | 1.296 | 62686.7 |
303 | 2023-06-27 20:02:23 | wabbliest | 1 | 81242 | 3 | 1.356 | 59913.0 |
302 | 2023-06-27 01:35:23 | wabbliest | 1 | 81242 | 3 | 1.220 | 66591.8 |
301 | 2023-06-26 13:04:50 | wabbliest | 1 | 81242 | 3 | 1.343 | 60492.9 |
300 | 2023-06-25 12:59:41 | wabbliest | 1 | 81242 | 3 | 1.360 | 59736.8 |
299 | 2023-06-24 21:04:00 | wabbliest | 1 | 81242 | 3 | 1.310 | 62016.8 |
298 | 2023-06-24 07:16:35 | wabbliest | 1 | 81242 | 3 | 1.236 | 65729.8 |
297 | 2023-06-23 12:10:29 | wabbliest | 1 | 81242 | 3 | 1.376 | 59042.2 |
296 | 2023-06-22 07:38:17 | wabbliest | 1 | 81242 | 3 | 1.250 | 64993.6 |
295 | 2023-06-21 17:13:40 | wabbliest | 1 | 81242 | 3 | 1.360 | 59736.8 |
294 | 2023-06-21 00:20:27 | wabbliest | 1 | 81242 | 3 | 1.203 | 67532.8 |
293 | 2023-06-20 07:11:39 | wabbliest | 1 | 81242 | 3 | 1.186 | 68500.8 |
292 | 2023-06-19 20:31:17 | wabbliest | 1 | 81242 | 3 | 1.186 | 68500.8 |
291 | 2023-06-19 01:37:19 | wabbliest | 1 | 81242 | 3 | 1.360 | 59736.8 |
290 | 2023-06-18 07:36:40 | wabbliest | 1 | 81242 | 3 | 1.216 | 66810.9 |