History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"example"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
395 | 2024-05-02 19:21:51 | example | 1 | 69583 | 3 | 1.266 | 54962.9 |
394 | 2024-04-29 02:36:35 | example | 1 | 69583 | 3 | 1.500 | 46388.7 |
393 | 2024-04-11 05:35:44 | example | 2 | 107671 | 11 | 2.953 | 36461.6 |
392 | 2024-04-10 01:58:48 | example | 4 | 151207 | 922 | 22.656 | 6674.0 |
391 | 2024-04-09 17:58:33 | example | 3 | 134027 | 87 | 21.003 | 6381.3 |
390 | 2024-04-09 10:54:54 | example | 2 | 107671 | 11 | 7.673 | 14032.5 |
389 | 2024-04-09 10:38:34 | example | 3 | 134027 | 87 | 7.750 | 17293.8 |
388 | 2024-04-08 14:02:12 | example | 2 | 107671 | 11 | 7.143 | 15073.6 |
387 | 2024-04-08 14:01:46 | example | 3 | 134027 | 87 | 7.420 | 18062.9 |
386 | 2024-04-08 10:47:49 | example | 1 | 69583 | 3 | 1.360 | 51164.0 |
385 | 2024-04-03 19:55:10 | example | 1 | 69583 | 3 | 1.356 | 51314.9 |
384 | 2024-04-03 11:43:35 | example | 3 | 134027 | 87 | 16.330 | 8207.4 |
383 | 2024-03-31 18:02:53 | example | 4 | 151207 | 922 | 101.053 | 1496.3 |
382 | 2024-03-31 14:07:22 | example | 4 | 151207 | 922 | 41.953 | 3604.2 |
381 | 2024-03-31 11:46:27 | example | 4 | 151207 | 922 | 22.956 | 6586.8 |
380 | 2024-03-31 10:07:31 | example | 4 | 151207 | 922 | 40.406 | 3742.2 |
379 | 2024-03-31 10:07:33 | example | 3 | 134027 | 87 | 15.703 | 8535.1 |
378 | 2024-03-31 10:07:38 | example | 2 | 107671 | 11 | 8.690 | 12390.2 |
377 | 2024-03-31 08:48:49 | example | 1 | 69583 | 3 | 2.436 | 28564.4 |
376 | 2024-03-02 05:07:50 | example | 2 | 107671 | 11 | 3.763 | 28613.1 |
375 | 2024-03-01 09:32:03 | example | 3 | 134027 | 87 | 11.503 | 11651.5 |
374 | 2024-02-29 09:47:23 | example | 3 | 134027 | 87 | 7.873 | 17023.6 |
373 | 2024-02-29 09:47:12 | example | 2 | 107671 | 11 | 5.970 | 18035.3 |
372 | 2024-02-28 15:14:51 | example | 4 | 151207 | 922 | 21.673 | 6976.7 |
371 | 2024-02-28 08:28:24 | example | 4 | 151207 | 922 | 17.566 | 8607.9 |
370 | 2024-02-28 08:28:25 | example | 2 | 107671 | 11 | 11.266 | 9557.2 |
369 | 2024-02-28 08:00:57 | example | 1 | 69583 | 3 | 2.186 | 31831.2 |
368 | 2024-02-09 20:22:03 | example | 2 | 107671 | 11 | 3.280 | 32826.5 |
367 | 2024-02-09 20:21:41 | example | 3 | 134027 | 87 | 6.893 | 19443.9 |
366 | 2024-02-07 22:22:23 | example | 4 | 151207 | 922 | 35.270 | 4287.1 |
365 | 2024-02-06 04:21:46 | example | 2 | 107671 | 11 | 3.470 | 31029.1 |
364 | 2024-02-06 04:21:18 | example | 4 | 151207 | 922 | 11.643 | 12986.9 |
363 | 2024-02-06 04:21:22 | example | 3 | 134027 | 87 | 6.753 | 19847.0 |
362 | 2024-01-29 06:47:31 | example | 1 | 69583 | 3 | 1.720 | 40455.2 |
361 | 2024-01-27 06:59:01 | example | 3 | 134027 | 87 | 6.610 | 20276.4 |
360 | 2024-01-26 21:42:25 | example | 4 | 151207 | 922 | 17.533 | 8624.1 |
359 | 2024-01-26 21:42:19 | example | 3 | 134027 | 87 | 11.470 | 11685.0 |
358 | 2024-01-08 20:00:03 | example | 4 | 151207 | 922 | 10.593 | 14274.2 |
357 | 2024-01-08 20:00:05 | example | 2 | 107671 | 11 | 3.173 | 33933.5 |
356 | 2024-01-08 19:59:58 | example | 3 | 134027 | 87 | 6.296 | 21287.6 |
355 | 2024-01-07 03:03:00 | example | 1 | 69583 | 3 | 1.140 | 61037.7 |
354 | 2023-12-22 02:05:14 | example | 1 | 69583 | 3 | 1.123 | 61961.7 |
353 | 2023-11-16 22:30:30 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
352 | 2023-11-06 14:00:43 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
351 | 2023-10-28 18:44:16 | example | 1 | 69583 | 3 | 2.346 | 29660.3 |
350 | 2023-10-22 10:40:41 | example | 1 | 69583 | 3 | 1.190 | 58473.1 |
349 | 2023-10-19 10:59:55 | example | 1 | 69583 | 3 | 2.110 | 32977.7 |
348 | 2023-10-18 17:29:36 | example | 1 | 69583 | 3 | 1.033 | 67360.1 |
347 | 2023-08-21 18:53:46 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
346 | 2023-06-14 14:28:55 | example | 1 | 69583 | 3 | 1.203 | 57841.2 |
345 | 2023-05-25 11:08:48 | example | 1 | 69583 | 3 | 1.016 | 68487.2 |
344 | 2023-05-20 22:41:22 | example | 1 | 69583 | 3 | 1.030 | 67556.3 |
343 | 2023-04-20 06:41:04 | example | 1 | 69583 | 3 | 1.203 | 57841.2 |
342 | 2023-03-18 22:03:35 | example | 1 | 69583 | 3 | 1.030 | 67556.3 |
341 | 2023-02-19 22:13:13 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
340 | 2023-01-06 06:29:37 | example | 1 | 69583 | 3 | 1.123 | 61961.7 |
339 | 2022-10-15 19:47:29 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
338 | 2022-09-27 03:18:23 | example | 1 | 69583 | 3 | 1.076 | 64668.2 |
337 | 2022-08-19 14:46:58 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
336 | 2022-08-10 17:05:12 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
335 | 2022-08-03 00:51:29 | example | 1 | 69583 | 3 | 1.156 | 60192.9 |
334 | 2022-07-25 06:54:14 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
333 | 2022-07-15 23:25:29 | example | 1 | 69583 | 3 | 1.093 | 63662.4 |
332 | 2022-07-03 15:32:05 | example | 1 | 69583 | 3 | 2.110 | 32977.7 |
331 | 2022-06-17 05:01:38 | example | 1 | 69583 | 3 | 1.063 | 65459.1 |
330 | 2022-06-04 04:30:43 | example | 1 | 69583 | 3 | 1.030 | 67556.3 |
329 | 2022-05-31 10:09:32 | example | 1 | 69583 | 3 | 1.030 | 67556.3 |
328 | 2022-05-10 08:18:37 | example | 1 | 69583 | 3 | 1.266 | 54962.9 |
327 | 2022-05-08 03:19:55 | example | 1 | 69583 | 3 | 1.050 | 66269.5 |
326 | 2022-05-05 23:41:58 | example | 1 | 69583 | 3 | 1.156 | 60192.9 |
325 | 2022-02-07 00:10:09 | example | 1 | 69583 | 3 | 1.310 | 53116.8 |
324 | 2022-01-23 08:07:59 | example | 1 | 69583 | 3 | 1.173 | 59320.5 |
323 | 2021-09-30 15:45:00 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
322 | 2021-07-01 06:34:09 | example | 1 | 69583 | 3 | 1.186 | 58670.3 |
321 | 2021-06-07 09:55:13 | example | 1 | 69583 | 3 | 1.266 | 54962.9 |
320 | 2021-05-14 13:09:24 | example | 3 | 134027 | 87 | 6.063 | 22105.7 |
319 | 2021-05-08 17:27:10 | example | 1 | 69583 | 3 | 1.250 | 55666.4 |
318 | 2021-04-13 14:43:53 | example | 3 | 134027 | 87 | 5.720 | 23431.3 |
317 | 2021-04-07 03:36:07 | example | 1 | 69583 | 3 | 1.076 | 64668.2 |
316 | 2021-03-31 07:14:23 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
315 | 2021-03-17 08:51:11 | example | 3 | 134027 | 87 | 14.610 | 9173.6 |
314 | 2021-02-26 15:13:51 | example | 4 | 151207 | 922 | 10.783 | 14022.7 |
313 | 2021-01-22 07:32:05 | example | 1 | 69583 | 3 | 1.123 | 61961.7 |
312 | 2020-12-19 16:44:01 | example | 1 | 69583 | 3 | 1.156 | 60192.9 |
311 | 2020-12-01 22:47:01 | example | 3 | 134027 | 87 | 6.533 | 20515.4 |
310 | 2020-11-27 04:13:41 | example | 1 | 69583 | 3 | 1.030 | 67556.3 |
309 | 2020-11-18 12:29:28 | example | 4 | 151207 | 922 | 11.030 | 13708.7 |
308 | 2020-10-26 20:47:27 | example | 3 | 134027 | 87 | 6.750 | 19855.9 |
307 | 2020-10-26 10:31:57 | example | 2 | 107671 | 11 | 2.923 | 36835.8 |
306 | 2020-09-19 06:21:52 | example | 1 | 69583 | 3 | 1.126 | 61796.6 |
305 | 2020-09-15 11:14:25 | example | 1 | 69583 | 3 | 1.046 | 66522.9 |
304 | 2020-09-09 19:45:33 | example | 1 | 69583 | 3 | 2.140 | 32515.4 |
303 | 2020-07-20 23:59:49 | example | 1 | 69583 | 3 | 1.390 | 50059.7 |
302 | 2020-07-20 15:00:26 | example | 1 | 69583 | 3 | 1.140 | 61037.7 |
301 | 2020-06-03 08:32:08 | example | 1 | 69583 | 3 | 1.093 | 63662.4 |
300 | 2020-05-31 05:41:04 | example | 1 | 69583 | 3 | 1.203 | 57841.2 |
299 | 2020-03-30 00:19:00 | example | 1 | 69583 | 3 | 1.173 | 59320.5 |
298 | 2020-03-28 22:25:54 | example | 4 | 151207 | 922 | 12.763 | 11847.3 |
297 | 2020-03-27 16:25:24 | example | 1 | 69583 | 3 | 1.200 | 57985.8 |
296 | 2020-03-26 22:47:11 | example | 4 | 151207 | 922 | 11.846 | 12764.4 |