History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"readiness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
427 | 2025-09-08 16:51:51 | readiness | 1 | 81242 | 4 | 1.560 | 52078.2 |
426 | 2025-08-27 16:05:49 | readiness | 1 | 81242 | 4 | 1.330 | 61084.2 |
425 | 2025-08-27 15:43:22 | readiness | 1 | 81242 | 4 | 1.640 | 49537.8 |
424 | 2025-08-17 07:01:09 | readiness | 1 | 81242 | 4 | 3.173 | 25604.2 |
423 | 2025-08-15 13:39:45 | readiness | 3 | 148641 | 248 | 17.813 | 8344.5 |
422 | 2025-08-12 01:53:21 | readiness | 3 | 148641 | 248 | 17.753 | 8372.7 |
421 | 2025-08-11 19:10:09 | readiness | 1 | 81242 | 4 | 3.720 | 21839.2 |
420 | 2025-08-11 05:22:28 | readiness | 3 | 148641 | 248 | 7.876 | 18872.7 |
419 | 2025-08-09 17:45:21 | readiness | 1 | 81242 | 4 | 1.516 | 53589.7 |
418 | 2025-08-01 07:12:19 | readiness | 2 | 121436 | 42 | 18.016 | 6740.5 |
417 | 2025-07-31 10:16:04 | readiness | 1 | 81242 | 4 | 1.516 | 53589.7 |
416 | 2025-07-27 17:10:45 | readiness | 1 | 81242 | 4 | 7.063 | 11502.5 |
415 | 2025-07-23 22:10:30 | readiness | 1 | 81242 | 4 | 6.203 | 13097.2 |
414 | 2025-07-23 06:22:39 | readiness | 1 | 81242 | 4 | 3.686 | 22040.7 |
413 | 2025-07-21 18:11:33 | readiness | 2 | 121436 | 42 | 9.326 | 13021.2 |
412 | 2025-07-18 18:26:18 | readiness | 2 | 121436 | 42 | 9.483 | 12805.7 |
411 | 2025-07-16 21:00:53 | readiness | 1 | 81242 | 4 | 1.390 | 58447.5 |
410 | 2025-07-07 16:59:31 | readiness | 2 | 121436 | 42 | 15.830 | 7671.3 |
409 | 2025-07-07 12:21:20 | readiness | 1 | 81242 | 4 | 6.906 | 11764.0 |
408 | 2025-07-06 16:37:05 | readiness | 1 | 81242 | 4 | 1.326 | 61268.5 |
407 | 2025-06-29 09:33:29 | readiness | 1 | 81242 | 4 | 1.626 | 49964.3 |
406 | 2025-06-26 16:33:40 | readiness | 1 | 81242 | 4 | 10.970 | 7405.8 |
405 | 2025-06-15 18:16:01 | readiness | 3 | 148641 | 248 | 6.560 | 22658.7 |
404 | 2025-06-15 14:07:16 | readiness | 2 | 121436 | 42 | 8.326 | 14585.2 |
403 | 2025-06-15 01:21:11 | readiness | 3 | 148641 | 248 | 10.736 | 13845.1 |
402 | 2025-06-14 16:07:16 | readiness | 1 | 81242 | 4 | 6.876 | 11815.3 |
401 | 2025-06-13 21:02:39 | readiness | 1 | 81242 | 4 | 7.216 | 11258.6 |
400 | 2025-06-06 15:50:13 | readiness | 1 | 81242 | 4 | 6.610 | 12290.8 |
399 | 2025-05-27 09:37:27 | readiness | 1 | 81242 | 4 | 7.173 | 11326.1 |
398 | 2025-05-13 13:51:03 | readiness | 2 | 121436 | 42 | 16.720 | 7262.9 |
397 | 2025-05-13 01:28:22 | readiness | 3 | 148641 | 248 | 11.860 | 12533.0 |
396 | 2025-05-11 20:51:37 | readiness | 1 | 81242 | 4 | 7.343 | 11063.9 |
395 | 2025-05-08 10:55:47 | readiness | 1 | 81242 | 4 | 4.220 | 19251.7 |
394 | 2025-05-06 15:25:18 | readiness | 1 | 81242 | 4 | 10.110 | 8035.8 |
393 | 2025-04-27 08:26:17 | readiness | 1 | 81242 | 4 | 1.483 | 54782.2 |
392 | 2025-04-26 09:10:20 | readiness | 3 | 148641 | 248 | 45.096 | 3296.1 |
391 | 2025-04-26 05:40:37 | readiness | 2 | 121436 | 42 | 28.656 | 4237.7 |
390 | 2025-04-25 15:25:08 | readiness | 1 | 81242 | 4 | 1.530 | 53099.3 |
389 | 2025-04-18 15:39:30 | readiness | 2 | 121436 | 42 | 8.000 | 15179.5 |
388 | 2025-04-17 23:10:15 | readiness | 3 | 148641 | 248 | 37.596 | 3953.6 |
387 | 2025-04-16 15:51:06 | readiness | 2 | 121436 | 42 | 8.750 | 13878.4 |
386 | 2025-04-15 12:36:43 | readiness | 3 | 148641 | 248 | 41.470 | 3584.3 |
385 | 2025-04-14 03:20:17 | readiness | 3 | 148641 | 248 | 47.190 | 3149.8 |
384 | 2025-04-12 14:14:49 | readiness | 2 | 121436 | 42 | 17.313 | 7014.2 |
383 | 2025-04-12 01:34:14 | readiness | 3 | 148641 | 248 | 36.593 | 4062.0 |
382 | 2025-04-10 20:54:59 | readiness | 1 | 81242 | 4 | 4.750 | 17103.6 |
381 | 2025-04-06 15:30:46 | readiness | 1 | 81242 | 4 | 5.143 | 15796.6 |
380 | 2025-04-04 16:05:28 | readiness | 1 | 81242 | 4 | 6.643 | 12229.7 |
379 | 2025-03-25 07:09:03 | readiness | 2 | 121436 | 42 | 18.563 | 6541.8 |
378 | 2025-03-23 03:54:20 | readiness | 2 | 121436 | 42 | 16.096 | 7544.5 |
377 | 2025-03-21 04:31:27 | readiness | 3 | 148641 | 248 | 62.766 | 2368.2 |
376 | 2025-03-15 04:00:27 | readiness | 1 | 81242 | 4 | 3.936 | 20640.8 |
375 | 2025-03-13 04:57:51 | readiness | 2 | 121436 | 42 | 16.860 | 7202.6 |
374 | 2025-03-11 13:05:23 | readiness | 2 | 121436 | 42 | 9.750 | 12455.0 |
373 | 2025-03-11 12:00:12 | readiness | 1 | 81242 | 4 | 5.263 | 15436.4 |
372 | 2025-03-10 12:47:50 | readiness | 3 | 148641 | 248 | 45.550 | 3263.2 |
371 | 2025-03-08 01:13:28 | readiness | 3 | 148641 | 248 | 49.500 | 3002.8 |
370 | 2025-03-07 02:04:48 | readiness | 1 | 81242 | 4 | 3.466 | 23439.7 |
369 | 2025-03-03 04:39:52 | readiness | 3 | 148641 | 248 | 33.396 | 4450.9 |
368 | 2025-03-02 19:05:54 | readiness | 3 | 148641 | 248 | 35.156 | 4228.0 |
367 | 2025-02-28 15:01:33 | readiness | 3 | 148641 | 248 | 39.283 | 3783.9 |
366 | 2025-02-25 17:30:45 | readiness | 1 | 81242 | 4 | 1.266 | 64172.2 |
365 | 2025-02-21 08:06:57 | readiness | 3 | 148641 | 248 | 37.330 | 3981.8 |
364 | 2025-02-19 09:15:58 | readiness | 3 | 148641 | 248 | 57.453 | 2587.2 |
363 | 2025-02-19 09:16:17 | readiness | 2 | 121436 | 42 | 22.753 | 5337.1 |
362 | 2025-02-19 09:14:21 | readiness | 1 | 81242 | 4 | 2.360 | 34424.6 |
361 | 2025-02-09 03:04:28 | readiness | 1 | 81242 | 4 | 1.640 | 49537.8 |
360 | 2025-02-05 03:28:32 | readiness | 1 | 81242 | 4 | 6.080 | 13362.2 |
359 | 2025-02-05 03:16:38 | readiness | 3 | 148641 | 248 | 34.766 | 4275.5 |
358 | 2025-01-31 05:36:16 | readiness | 3 | 148641 | 248 | 34.643 | 4290.7 |
357 | 2025-01-31 05:35:24 | readiness | 2 | 121436 | 42 | 11.203 | 10839.6 |
356 | 2025-01-31 05:35:19 | readiness | 1 | 81242 | 4 | 2.346 | 34630.0 |
355 | 2025-01-20 21:18:51 | readiness | 1 | 81242 | 4 | 3.436 | 23644.4 |
354 | 2025-01-20 21:15:52 | readiness | 3 | 148641 | 248 | 30.000 | 4954.7 |
353 | 2025-01-20 21:15:51 | readiness | 2 | 121436 | 42 | 28.550 | 4253.5 |
352 | 2025-01-20 04:33:47 | readiness | 3 | 148641 | 248 | 47.363 | 3138.3 |
351 | 2025-01-20 04:33:58 | readiness | 2 | 121436 | 42 | 16.720 | 7262.9 |
350 | 2025-01-20 04:32:33 | readiness | 1 | 81242 | 4 | 6.266 | 12965.5 |
349 | 2025-01-02 01:20:17 | readiness | 1 | 81242 | 4 | 3.690 | 22016.8 |
348 | 2025-01-01 22:24:23 | readiness | 3 | 148641 | 248 | 28.626 | 5192.5 |
347 | 2025-01-01 22:24:15 | readiness | 2 | 121436 | 42 | 8.186 | 14834.6 |
346 | 2024-12-30 04:58:32 | readiness | 3 | 148641 | 248 | 39.143 | 3797.4 |
345 | 2024-12-30 04:58:23 | readiness | 2 | 121436 | 42 | 27.050 | 4489.3 |
344 | 2024-12-30 04:04:46 | readiness | 1 | 81242 | 4 | 3.516 | 23106.4 |
343 | 2024-12-16 09:22:52 | readiness | 1 | 81242 | 4 | 6.483 | 12531.5 |
342 | 2024-12-11 09:08:41 | readiness | 3 | 148641 | 248 | 43.016 | 3455.5 |
341 | 2024-12-11 09:08:36 | readiness | 2 | 121436 | 42 | 19.126 | 6349.3 |
340 | 2024-12-11 04:25:49 | readiness | 3 | 148641 | 248 | 40.313 | 3687.2 |
339 | 2024-12-11 04:25:52 | readiness | 2 | 121436 | 42 | 19.030 | 6381.3 |
338 | 2024-12-11 04:25:12 | readiness | 1 | 81242 | 4 | 3.750 | 21664.5 |
337 | 2024-12-02 14:50:45 | readiness | 1 | 81242 | 4 | 10.640 | 7635.5 |
336 | 2024-11-28 12:34:00 | readiness | 1 | 81242 | 4 | 5.330 | 15242.4 |
335 | 2024-11-18 16:28:38 | readiness | 2 | 121436 | 42 | 24.173 | 5023.6 |
334 | 2024-11-16 04:55:22 | readiness | 2 | 121436 | 42 | 23.050 | 5268.4 |
333 | 2024-11-08 22:29:21 | readiness | 1 | 81242 | 4 | 7.420 | 10949.1 |
332 | 2024-11-08 04:25:47 | readiness | 1 | 81242 | 4 | 1.280 | 63470.3 |
331 | 2024-10-30 10:17:01 | readiness | 1 | 81242 | 4 | 7.140 | 11378.4 |
330 | 2024-10-29 10:37:52 | readiness | 2 | 121436 | 42 | 18.736 | 6481.4 |
329 | 2024-10-27 19:33:03 | readiness | 3 | 148641 | 248 | 36.673 | 4053.1 |
328 | 2024-10-26 16:27:17 | readiness | 1 | 81242 | 4 | 9.046 | 8981.0 |