History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sparkliest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
425 | 2025-08-02 04:45:13 | sparkliest | 1 | 67641 | 2 | 2.686 | 25182.8 |
424 | 2025-07-31 08:44:46 | sparkliest | 4 | 161450 | 394 | 59.410 | 2717.6 |
423 | 2025-07-30 20:59:38 | sparkliest | 3 | 140603 | 71 | 23.186 | 6064.1 |
422 | 2025-07-30 16:18:31 | sparkliest | 3 | 140603 | 71 | 34.016 | 4133.4 |
421 | 2025-07-30 15:17:58 | sparkliest | 2 | 108824 | 13 | 2.766 | 39343.5 |
420 | 2025-07-27 20:39:09 | sparkliest | 1 | 67641 | 2 | 2.983 | 22675.5 |
419 | 2025-07-27 09:59:27 | sparkliest | 4 | 161450 | 394 | 36.656 | 4404.5 |
418 | 2025-07-25 21:18:00 | sparkliest | 3 | 140603 | 71 | 15.423 | 9116.4 |
417 | 2025-07-25 20:57:16 | sparkliest | 2 | 108824 | 13 | 3.000 | 36274.7 |
416 | 2025-07-23 22:55:40 | sparkliest | 1 | 67641 | 2 | 3.466 | 19515.6 |
415 | 2025-07-23 02:48:12 | sparkliest | 1 | 67641 | 2 | 5.046 | 13404.9 |
414 | 2025-07-22 02:07:12 | sparkliest | 1 | 67641 | 2 | 1.156 | 58513.0 |
413 | 2025-07-18 23:39:55 | sparkliest | 3 | 140603 | 71 | 6.703 | 20976.1 |
412 | 2025-07-18 20:43:54 | sparkliest | 2 | 108824 | 13 | 14.356 | 7580.4 |
411 | 2025-07-17 10:14:27 | sparkliest | 1 | 67641 | 2 | 3.016 | 22427.4 |
410 | 2025-07-13 06:28:25 | sparkliest | 1 | 67641 | 2 | 1.153 | 58665.2 |
409 | 2025-06-26 12:05:10 | sparkliest | 1 | 67641 | 2 | 5.046 | 13404.9 |
408 | 2025-06-24 07:23:18 | sparkliest | 4 | 161450 | 394 | 61.360 | 2631.2 |
407 | 2025-06-23 10:40:41 | sparkliest | 1 | 67641 | 2 | 2.936 | 23038.5 |
406 | 2025-06-22 17:45:29 | sparkliest | 4 | 161450 | 394 | 54.596 | 2957.2 |
405 | 2025-06-21 10:18:03 | sparkliest | 4 | 161450 | 394 | 33.503 | 4819.0 |
404 | 2025-06-21 07:53:12 | sparkliest | 4 | 161450 | 394 | 10.566 | 15280.1 |
403 | 2025-06-19 07:18:03 | sparkliest | 4 | 161450 | 394 | 75.330 | 2143.2 |
402 | 2025-06-19 03:57:54 | sparkliest | 2 | 108824 | 13 | 3.250 | 33484.3 |
401 | 2025-06-17 19:58:43 | sparkliest | 1 | 67641 | 2 | 1.216 | 55625.8 |
400 | 2025-06-16 02:55:33 | sparkliest | 1 | 67641 | 2 | 6.170 | 10962.9 |
399 | 2025-06-07 21:37:01 | sparkliest | 3 | 140603 | 71 | 20.733 | 6781.6 |
398 | 2025-06-06 11:30:14 | sparkliest | 2 | 108824 | 13 | 11.500 | 9463.0 |
397 | 2025-06-05 15:12:31 | sparkliest | 3 | 140603 | 71 | 6.813 | 20637.5 |
396 | 2025-05-31 17:04:52 | sparkliest | 3 | 140603 | 71 | 31.940 | 4402.1 |
395 | 2025-05-29 22:03:25 | sparkliest | 2 | 108824 | 13 | 3.750 | 29019.7 |
394 | 2025-05-29 06:50:42 | sparkliest | 2 | 108824 | 13 | 10.563 | 10302.4 |
393 | 2025-05-28 18:30:32 | sparkliest | 3 | 140603 | 71 | 6.970 | 20172.6 |
392 | 2025-05-28 00:49:30 | sparkliest | 1 | 67641 | 2 | 1.233 | 54858.9 |
391 | 2025-05-25 12:31:27 | sparkliest | 1 | 67641 | 2 | 1.096 | 61716.2 |
390 | 2025-05-22 04:58:03 | sparkliest | 3 | 140603 | 71 | 31.530 | 4459.3 |
389 | 2025-05-21 05:18:34 | sparkliest | 3 | 140603 | 71 | 16.550 | 8495.6 |
388 | 2025-05-20 22:58:43 | sparkliest | 2 | 108824 | 13 | 3.876 | 28076.4 |
387 | 2025-05-20 00:32:59 | sparkliest | 1 | 67641 | 2 | 2.533 | 26703.9 |
386 | 2025-05-19 15:43:47 | sparkliest | 3 | 140603 | 71 | 5.610 | 25062.9 |
385 | 2025-05-13 08:49:19 | sparkliest | 2 | 108824 | 13 | 3.313 | 32847.6 |
384 | 2025-05-13 06:28:50 | sparkliest | 4 | 161450 | 394 | 13.250 | 12184.9 |
383 | 2025-05-13 03:28:30 | sparkliest | 1 | 67641 | 2 | 1.203 | 56226.9 |
382 | 2025-05-12 20:08:01 | sparkliest | 4 | 161450 | 394 | 11.750 | 13740.4 |
381 | 2025-05-12 09:38:41 | sparkliest | 4 | 161450 | 394 | 54.300 | 2973.3 |
380 | 2025-05-10 07:50:57 | sparkliest | 4 | 161450 | 394 | 74.270 | 2173.8 |
379 | 2025-05-10 07:33:49 | sparkliest | 1 | 67641 | 2 | 5.736 | 11792.4 |
378 | 2025-05-09 09:29:50 | sparkliest | 4 | 161450 | 394 | 13.360 | 12084.6 |
377 | 2025-05-07 05:48:28 | sparkliest | 1 | 67641 | 2 | 1.140 | 59334.2 |
376 | 2025-05-05 20:09:57 | sparkliest | 1 | 67641 | 2 | 5.610 | 12057.2 |
375 | 2025-05-05 03:14:12 | sparkliest | 1 | 67641 | 2 | 1.263 | 53555.8 |
374 | 2025-05-02 02:39:00 | sparkliest | 1 | 67641 | 2 | 5.376 | 12582.0 |
373 | 2025-05-01 21:17:46 | sparkliest | 3 | 140603 | 71 | 19.500 | 7210.4 |
372 | 2025-04-29 06:47:10 | sparkliest | 3 | 140603 | 71 | 48.040 | 2926.8 |
371 | 2025-04-23 11:13:30 | sparkliest | 1 | 67641 | 2 | 5.796 | 11670.3 |
370 | 2025-04-15 22:46:12 | sparkliest | 1 | 67641 | 2 | 8.470 | 7986.0 |
369 | 2025-04-09 19:38:16 | sparkliest | 2 | 108824 | 13 | 7.750 | 14041.8 |
368 | 2025-04-09 19:17:45 | sparkliest | 3 | 140603 | 71 | 32.080 | 4382.9 |
367 | 2025-04-09 05:21:06 | sparkliest | 3 | 140603 | 71 | 33.516 | 4195.1 |
366 | 2025-04-07 12:04:57 | sparkliest | 3 | 140603 | 71 | 6.233 | 22557.8 |
365 | 2025-04-07 09:23:32 | sparkliest | 2 | 108824 | 13 | 13.110 | 8300.8 |
364 | 2025-04-06 05:37:13 | sparkliest | 1 | 67641 | 2 | 3.033 | 22301.7 |
363 | 2025-04-01 20:12:01 | sparkliest | 1 | 67641 | 2 | 2.953 | 22905.9 |
362 | 2025-03-29 04:01:27 | sparkliest | 1 | 67641 | 2 | 8.186 | 8263.0 |
361 | 2025-03-27 11:05:19 | sparkliest | 4 | 161450 | 394 | 65.580 | 2461.9 |
360 | 2025-03-27 10:58:35 | sparkliest | 4 | 161450 | 394 | 77.223 | 2090.7 |
359 | 2025-03-25 18:05:10 | sparkliest | 4 | 161450 | 394 | 38.910 | 4149.3 |
358 | 2025-03-25 16:18:13 | sparkliest | 4 | 161450 | 394 | 54.893 | 2941.2 |
357 | 2025-03-22 12:06:07 | sparkliest | 1 | 67641 | 2 | 2.920 | 23164.7 |
356 | 2025-03-21 23:38:00 | sparkliest | 2 | 108824 | 13 | 3.046 | 35726.9 |
355 | 2025-03-09 03:45:46 | sparkliest | 4 | 161450 | 394 | 61.380 | 2630.3 |
354 | 2025-03-05 12:48:42 | sparkliest | 2 | 108824 | 13 | 17.343 | 6274.8 |
353 | 2025-03-05 12:39:09 | sparkliest | 1 | 67641 | 2 | 6.843 | 9884.7 |
352 | 2025-03-04 05:10:58 | sparkliest | 3 | 140603 | 71 | 24.766 | 5677.3 |
351 | 2025-03-02 19:41:06 | sparkliest | 3 | 140603 | 71 | 46.703 | 3010.6 |
350 | 2025-03-02 03:23:56 | sparkliest | 4 | 161450 | 394 | 67.176 | 2403.4 |
349 | 2025-03-02 03:23:51 | sparkliest | 3 | 140603 | 71 | 33.596 | 4185.1 |
348 | 2025-03-02 03:23:48 | sparkliest | 2 | 108824 | 13 | 8.233 | 13218.0 |
347 | 2025-03-02 01:48:24 | sparkliest | 1 | 67641 | 2 | 1.046 | 64666.3 |
346 | 2025-02-25 17:36:38 | sparkliest | 1 | 67641 | 2 | 1.203 | 56226.9 |
345 | 2025-02-18 16:29:30 | sparkliest | 4 | 161450 | 394 | 68.800 | 2346.7 |
344 | 2025-02-16 15:02:58 | sparkliest | 4 | 161450 | 394 | 37.876 | 4262.6 |
343 | 2025-02-16 15:02:57 | sparkliest | 2 | 108824 | 13 | 12.376 | 8793.1 |
342 | 2025-02-16 15:02:34 | sparkliest | 1 | 67641 | 2 | 5.530 | 12231.6 |
341 | 2025-02-08 22:13:30 | sparkliest | 3 | 140603 | 71 | 28.626 | 4911.7 |
340 | 2025-02-08 15:57:30 | sparkliest | 3 | 140603 | 71 | 42.036 | 3344.8 |
339 | 2025-02-02 14:27:53 | sparkliest | 1 | 67641 | 2 | 5.953 | 11362.5 |
338 | 2025-01-29 19:14:50 | sparkliest | 1 | 67641 | 2 | 1.123 | 60232.4 |
337 | 2025-01-22 20:12:40 | sparkliest | 3 | 140603 | 71 | 17.330 | 8113.3 |
336 | 2025-01-20 17:47:17 | sparkliest | 3 | 140603 | 71 | 28.453 | 4941.6 |
335 | 2025-01-20 00:28:43 | sparkliest | 3 | 140603 | 71 | 33.863 | 4152.1 |
334 | 2025-01-15 10:32:30 | sparkliest | 2 | 108824 | 13 | 15.983 | 6808.7 |
333 | 2025-01-15 10:32:28 | sparkliest | 3 | 140603 | 71 | 16.923 | 8308.4 |
332 | 2025-01-15 09:04:21 | sparkliest | 1 | 67641 | 2 | 2.483 | 27241.6 |
331 | 2025-01-01 05:29:18 | sparkliest | 2 | 108824 | 13 | 15.646 | 6955.4 |
330 | 2024-12-30 09:33:49 | sparkliest | 3 | 140603 | 71 | 45.436 | 3094.5 |
329 | 2024-12-29 21:02:59 | sparkliest | 2 | 108824 | 13 | 16.390 | 6639.7 |
328 | 2024-12-29 21:02:16 | sparkliest | 3 | 140603 | 71 | 31.766 | 4426.2 |
327 | 2024-12-29 20:59:24 | sparkliest | 1 | 67641 | 2 | 1.596 | 42381.6 |
326 | 2024-12-29 17:41:06 | sparkliest | 1 | 67641 | 2 | 8.233 | 8215.8 |