History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"trained"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
406 | 2024-05-14 07:20:38 | trained | 3 | 134027 | 755 | 9.703 | 13812.9 |
405 | 2024-05-12 10:44:26 | trained | 3 | 134027 | 755 | 14.953 | 8963.2 |
404 | 2024-05-11 14:09:34 | trained | 3 | 134027 | 755 | 17.813 | 7524.1 |
403 | 2024-05-11 03:17:03 | trained | 3 | 134027 | 755 | 12.690 | 10561.6 |
402 | 2024-05-08 22:19:38 | trained | 3 | 134027 | 755 | 16.326 | 8209.4 |
401 | 2024-05-08 21:34:28 | trained | 3 | 134027 | 755 | 6.516 | 20568.9 |
400 | 2024-04-30 14:03:43 | trained | 1 | 69583 | 11 | 3.376 | 20611.1 |
399 | 2024-04-13 14:39:41 | trained | 2 | 107671 | 69 | 3.390 | 31761.4 |
398 | 2024-04-13 14:39:09 | trained | 3 | 134027 | 755 | 7.486 | 17903.7 |
397 | 2024-04-13 00:15:32 | trained | 3 | 134027 | 755 | 11.220 | 11945.4 |
396 | 2024-04-10 15:12:40 | trained | 3 | 134027 | 755 | 23.673 | 5661.6 |
395 | 2024-04-10 12:02:42 | trained | 3 | 134027 | 755 | 12.266 | 10926.7 |
394 | 2024-04-10 05:23:20 | trained | 3 | 134027 | 755 | 8.656 | 15483.7 |
393 | 2024-04-10 05:23:02 | trained | 2 | 107671 | 69 | 3.313 | 32499.5 |
392 | 2024-04-09 20:50:07 | trained | 2 | 107671 | 69 | 3.970 | 27121.2 |
391 | 2024-04-04 20:20:53 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
390 | 2024-03-01 00:53:49 | trained | 1 | 69583 | 11 | 2.033 | 34226.8 |
389 | 2024-01-11 15:13:52 | trained | 2 | 107671 | 69 | 2.830 | 38046.3 |
388 | 2024-01-11 15:13:44 | trained | 3 | 134027 | 755 | 6.203 | 21606.8 |
387 | 2024-01-03 10:51:19 | trained | 3 | 134027 | 755 | 6.936 | 19323.4 |
386 | 2023-12-28 19:34:45 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |
385 | 2023-12-28 03:39:01 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
384 | 2023-12-25 09:52:10 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
383 | 2023-12-11 18:58:45 | trained | 2 | 107671 | 69 | 3.346 | 32179.0 |
382 | 2023-12-02 04:31:54 | trained | 3 | 134027 | 755 | 6.063 | 22105.7 |
381 | 2023-12-02 04:31:52 | trained | 2 | 107671 | 69 | 3.030 | 35535.0 |
380 | 2023-11-24 23:09:15 | trained | 1 | 69583 | 11 | 1.280 | 54361.7 |
379 | 2023-11-16 22:55:30 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
378 | 2023-11-14 16:16:14 | trained | 1 | 69583 | 11 | 1.046 | 66522.9 |
377 | 2023-11-06 19:50:11 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
376 | 2023-10-22 07:54:06 | trained | 1 | 69583 | 11 | 1.626 | 42794.0 |
375 | 2023-10-19 02:06:31 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
374 | 2023-10-15 17:52:07 | trained | 1 | 69583 | 11 | 1.043 | 66714.3 |
373 | 2023-10-15 11:59:20 | trained | 1 | 69583 | 11 | 1.076 | 64668.2 |
372 | 2023-10-11 03:01:36 | trained | 3 | 134027 | 755 | 6.843 | 19586.0 |
371 | 2023-10-09 17:59:42 | trained | 3 | 134027 | 755 | 7.563 | 17721.4 |
370 | 2023-10-09 07:40:06 | trained | 3 | 134027 | 755 | 5.876 | 22809.2 |
369 | 2023-09-29 12:09:41 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
368 | 2023-09-22 20:14:34 | trained | 1 | 69583 | 11 | 1.153 | 60349.5 |
367 | 2023-09-16 16:28:28 | trained | 2 | 107671 | 69 | 2.986 | 36058.6 |
366 | 2023-09-09 02:04:22 | trained | 2 | 107671 | 69 | 2.826 | 38100.1 |
365 | 2023-08-10 15:05:28 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
364 | 2023-07-20 21:38:18 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |
363 | 2023-05-25 22:39:51 | trained | 2 | 107671 | 69 | 2.903 | 37089.6 |
362 | 2023-05-10 12:25:59 | trained | 1 | 69583 | 11 | 1.156 | 60192.9 |
361 | 2023-04-22 14:05:08 | trained | 3 | 134027 | 755 | 6.080 | 22043.9 |
360 | 2023-04-07 02:53:42 | trained | 3 | 134027 | 755 | 5.860 | 22871.5 |
359 | 2023-04-01 20:53:11 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
358 | 2023-03-07 02:45:15 | trained | 1 | 69583 | 11 | 1.043 | 66714.3 |
357 | 2023-03-04 08:10:56 | trained | 2 | 107671 | 69 | 2.890 | 37256.4 |
356 | 2023-01-13 10:55:51 | trained | 3 | 134027 | 755 | 6.783 | 19759.3 |
355 | 2022-12-27 15:29:33 | trained | 1 | 69583 | 11 | 1.046 | 66522.9 |
354 | 2022-12-13 00:55:41 | trained | 2 | 107671 | 69 | 2.796 | 38508.9 |
353 | 2022-12-10 14:15:22 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
352 | 2022-10-20 19:12:57 | trained | 3 | 134027 | 755 | 5.876 | 22809.2 |
351 | 2022-09-16 02:36:55 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
350 | 2022-08-07 02:18:13 | trained | 1 | 69583 | 11 | 1.186 | 58670.3 |
349 | 2022-08-03 18:08:49 | trained | 1 | 69583 | 11 | 1.046 | 66522.9 |
348 | 2022-07-31 23:14:42 | trained | 2 | 107671 | 69 | 2.846 | 37832.4 |
347 | 2022-06-29 00:00:16 | trained | 1 | 69583 | 11 | 1.046 | 66522.9 |
346 | 2022-05-22 01:49:27 | trained | 3 | 134027 | 755 | 5.970 | 22450.1 |
345 | 2022-04-05 19:32:52 | trained | 1 | 69583 | 11 | 1.233 | 56433.9 |
344 | 2022-03-03 22:18:36 | trained | 1 | 69583 | 11 | 1.110 | 62687.4 |
343 | 2022-02-25 19:24:11 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
342 | 2021-12-25 00:53:54 | trained | 1 | 69583 | 11 | 1.263 | 55093.4 |
341 | 2021-12-22 22:25:44 | trained | 1 | 69583 | 11 | 1.263 | 55093.4 |
340 | 2021-12-18 16:47:30 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
339 | 2021-10-25 19:10:37 | trained | 1 | 69583 | 11 | 1.250 | 55666.4 |
338 | 2021-09-26 17:43:10 | trained | 1 | 69583 | 11 | 1.186 | 58670.3 |
337 | 2021-09-14 17:19:05 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
336 | 2021-06-14 15:05:04 | trained | 1 | 69583 | 11 | 1.236 | 56296.9 |
335 | 2021-06-03 14:39:31 | trained | 1 | 69583 | 11 | 1.436 | 48456.1 |
334 | 2021-05-09 06:10:46 | trained | 1 | 69583 | 11 | 1.170 | 59472.6 |
333 | 2021-05-03 00:05:50 | trained | 1 | 69583 | 11 | 1.220 | 57035.2 |
332 | 2021-03-15 06:27:17 | trained | 1 | 69583 | 11 | 1.076 | 64668.2 |
331 | 2021-03-11 18:00:00 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
330 | 2021-02-20 21:22:35 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
329 | 2021-01-22 19:28:03 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
328 | 2020-12-24 01:53:58 | trained | 1 | 69583 | 11 | 1.140 | 61037.7 |
327 | 2020-12-08 14:25:27 | trained | 1 | 69583 | 11 | 1.156 | 60192.9 |
326 | 2020-10-20 12:10:47 | trained | 1 | 69583 | 11 | 1.076 | 64668.2 |
325 | 2020-10-18 08:31:21 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |
324 | 2020-09-05 12:39:50 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |
323 | 2020-08-31 23:20:38 | trained | 1 | 69583 | 11 | 1.080 | 64428.7 |
322 | 2020-08-28 23:06:18 | trained | 1 | 69583 | 11 | 1.110 | 62687.4 |
321 | 2020-08-26 07:34:04 | trained | 1 | 69583 | 11 | 1.093 | 63662.4 |
320 | 2020-05-28 03:51:13 | trained | 1 | 69583 | 11 | 1.156 | 60192.9 |
319 | 2020-05-25 04:26:31 | trained | 1 | 69583 | 11 | 1.046 | 66522.9 |
318 | 2020-05-16 01:22:56 | trained | 1 | 69583 | 11 | 1.140 | 61037.7 |
317 | 2020-03-28 21:08:31 | trained | 1 | 69583 | 11 | 1.263 | 55093.4 |
316 | 2020-03-24 14:09:37 | trained | 1 | 69583 | 11 | 1.406 | 49490.0 |
315 | 2020-03-22 17:55:37 | trained | 1 | 69583 | 11 | 1.063 | 65459.1 |
314 | 2020-03-20 18:26:26 | trained | 1 | 69583 | 11 | 1.156 | 60192.9 |
313 | 2020-03-01 09:14:15 | trained | 1 | 69583 | 11 | 1.376 | 50569.0 |
312 | 2020-02-26 00:31:18 | trained | 1 | 69583 | 11 | 1.266 | 54962.9 |
311 | 2020-02-16 02:09:13 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |
310 | 2020-02-15 03:23:27 | trained | 1 | 69583 | 11 | 1.440 | 48321.5 |
309 | 2020-02-05 15:00:40 | trained | 1 | 69583 | 11 | 1.326 | 52475.9 |
308 | 2020-02-05 02:32:49 | trained | 1 | 69583 | 11 | 2.236 | 31119.4 |
307 | 2020-02-04 09:49:11 | trained | 1 | 69583 | 11 | 1.203 | 57841.2 |