History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predicable"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
415 | 2025-08-21 10:10:02 | predicable | 1 | 67641 | 3 | 4.310 | 15694.0 |
414 | 2025-08-21 05:42:58 | predicable | 1 | 67641 | 3 | 2.810 | 24071.5 |
413 | 2025-08-09 21:36:54 | predicable | 1 | 67641 | 3 | 2.656 | 25467.2 |
412 | 2025-08-05 20:40:16 | predicable | 1 | 67641 | 3 | 2.736 | 24722.6 |
411 | 2025-08-02 01:13:24 | predicable | 4 | 161450 | 279 | 50.553 | 3193.7 |
410 | 2025-08-01 01:44:07 | predicable | 1 | 67641 | 3 | 3.046 | 22206.5 |
409 | 2025-07-28 03:26:48 | predicable | 4 | 161450 | 279 | 33.970 | 4752.7 |
408 | 2025-07-26 19:09:46 | predicable | 1 | 67641 | 3 | 8.140 | 8309.7 |
407 | 2025-07-24 22:00:58 | predicable | 1 | 67641 | 3 | 2.640 | 25621.6 |
406 | 2025-07-23 06:44:51 | predicable | 4 | 161450 | 279 | 46.753 | 3453.3 |
405 | 2025-07-22 19:03:16 | predicable | 1 | 67641 | 3 | 3.563 | 18984.3 |
404 | 2025-07-19 07:17:44 | predicable | 1 | 67641 | 3 | 1.220 | 55443.4 |
403 | 2025-07-17 14:11:48 | predicable | 4 | 161450 | 279 | 45.550 | 3544.5 |
402 | 2025-07-17 07:19:47 | predicable | 4 | 161450 | 279 | 49.253 | 3278.0 |
401 | 2025-07-13 20:58:36 | predicable | 4 | 161450 | 279 | 68.676 | 2350.9 |
400 | 2025-07-12 18:51:55 | predicable | 1 | 67641 | 3 | 1.250 | 54112.8 |
399 | 2025-07-11 16:27:26 | predicable | 3 | 140603 | 49 | 25.830 | 5443.4 |
398 | 2025-07-08 20:03:52 | predicable | 1 | 67641 | 3 | 1.093 | 61885.6 |
397 | 2025-07-08 03:16:18 | predicable | 3 | 140603 | 49 | 34.093 | 4124.1 |
396 | 2025-07-07 09:29:43 | predicable | 1 | 67641 | 3 | 5.626 | 12022.9 |
395 | 2025-07-06 23:42:36 | predicable | 1 | 67641 | 3 | 3.110 | 21749.5 |
394 | 2025-07-02 02:45:26 | predicable | 3 | 140603 | 49 | 19.220 | 7315.5 |
393 | 2025-07-01 21:17:18 | predicable | 1 | 67641 | 3 | 5.720 | 11825.3 |
392 | 2025-06-30 06:00:54 | predicable | 3 | 140603 | 49 | 23.000 | 6113.2 |
391 | 2025-06-29 00:25:52 | predicable | 1 | 67641 | 3 | 1.186 | 57032.9 |
390 | 2025-06-20 13:13:39 | predicable | 1 | 67641 | 3 | 2.110 | 32057.3 |
389 | 2025-06-15 10:52:35 | predicable | 1 | 67641 | 3 | 1.250 | 54112.8 |
388 | 2025-06-14 20:18:35 | predicable | 1 | 67641 | 3 | 2.453 | 27574.8 |
387 | 2025-06-14 12:52:41 | predicable | 1 | 67641 | 3 | 2.920 | 23164.7 |
386 | 2025-06-13 18:28:37 | predicable | 1 | 67641 | 3 | 1.203 | 56226.9 |
385 | 2025-06-10 19:00:45 | predicable | 1 | 67641 | 3 | 6.970 | 9704.6 |
384 | 2025-06-10 13:08:39 | predicable | 1 | 67641 | 3 | 6.280 | 10770.9 |
383 | 2025-05-30 12:58:08 | predicable | 1 | 67641 | 3 | 6.330 | 10685.8 |
382 | 2025-05-30 01:45:59 | predicable | 1 | 67641 | 3 | 1.170 | 57812.8 |
381 | 2025-05-29 00:55:01 | predicable | 1 | 67641 | 3 | 2.673 | 25305.3 |
380 | 2025-05-24 01:00:18 | predicable | 1 | 67641 | 3 | 5.966 | 11337.7 |
379 | 2025-05-19 14:45:04 | predicable | 1 | 67641 | 3 | 1.173 | 57665.0 |
378 | 2025-05-19 01:47:06 | predicable | 3 | 140603 | 49 | 29.300 | 4798.7 |
377 | 2025-05-14 09:21:40 | predicable | 1 | 67641 | 3 | 8.606 | 7859.7 |
376 | 2025-05-13 19:22:01 | predicable | 3 | 140603 | 49 | 6.300 | 22317.9 |
375 | 2025-05-12 14:34:16 | predicable | 3 | 140603 | 49 | 30.113 | 4669.2 |
374 | 2025-05-12 05:23:16 | predicable | 3 | 140603 | 49 | 49.630 | 2833.0 |
373 | 2025-05-06 21:36:00 | predicable | 1 | 67641 | 3 | 1.216 | 55625.8 |
372 | 2025-05-04 13:05:28 | predicable | 1 | 67641 | 3 | 3.016 | 22427.4 |
371 | 2025-04-23 20:28:28 | predicable | 3 | 140603 | 49 | 39.146 | 3591.8 |
370 | 2025-04-22 19:05:42 | predicable | 1 | 67641 | 3 | 2.590 | 26116.2 |
369 | 2025-04-21 03:58:11 | predicable | 3 | 140603 | 49 | 26.343 | 5337.4 |
368 | 2025-04-10 21:06:37 | predicable | 1 | 67641 | 3 | 3.300 | 20497.3 |
367 | 2025-04-06 09:01:43 | predicable | 1 | 67641 | 3 | 8.080 | 8371.4 |
366 | 2025-03-27 12:15:02 | predicable | 1 | 67641 | 3 | 6.546 | 10333.2 |
365 | 2025-03-26 16:23:49 | predicable | 3 | 140603 | 49 | 33.673 | 4175.5 |
364 | 2025-03-26 11:33:21 | predicable | 4 | 161450 | 279 | 69.113 | 2336.0 |
363 | 2025-03-25 15:33:08 | predicable | 4 | 161450 | 279 | 39.796 | 4056.9 |
362 | 2025-03-25 12:11:00 | predicable | 2 | 108824 | 9 | 24.843 | 4380.5 |
361 | 2025-03-25 07:17:58 | predicable | 4 | 161450 | 279 | 59.973 | 2692.0 |
360 | 2025-03-25 06:42:15 | predicable | 4 | 161450 | 279 | 40.080 | 4028.2 |
359 | 2025-03-24 01:57:49 | predicable | 3 | 140603 | 49 | 6.390 | 22003.6 |
358 | 2025-03-23 21:43:31 | predicable | 2 | 108824 | 9 | 16.813 | 6472.6 |
357 | 2025-03-23 21:38:57 | predicable | 4 | 161450 | 279 | 56.346 | 2865.3 |
356 | 2025-03-23 21:05:50 | predicable | 3 | 140603 | 49 | 25.940 | 5420.3 |
355 | 2025-03-23 00:32:29 | predicable | 1 | 67641 | 3 | 7.810 | 8660.8 |
354 | 2025-03-22 18:03:48 | predicable | 3 | 140603 | 49 | 6.860 | 20496.1 |
353 | 2025-03-22 01:33:12 | predicable | 2 | 108824 | 9 | 8.360 | 13017.2 |
352 | 2025-03-20 19:51:27 | predicable | 1 | 67641 | 3 | 2.580 | 26217.4 |
351 | 2025-03-17 21:14:34 | predicable | 3 | 140603 | 49 | 48.473 | 2900.6 |
350 | 2025-03-16 04:16:50 | predicable | 3 | 140603 | 49 | 35.163 | 3998.6 |
349 | 2025-03-13 23:30:02 | predicable | 1 | 67641 | 3 | 5.250 | 12884.0 |
348 | 2025-03-07 21:11:47 | predicable | 1 | 67641 | 3 | 6.970 | 9704.6 |
347 | 2025-02-25 07:00:15 | predicable | 1 | 67641 | 3 | 5.653 | 11965.5 |
346 | 2025-02-20 13:16:59 | predicable | 3 | 140603 | 49 | 30.410 | 4623.6 |
345 | 2025-02-16 22:42:30 | predicable | 3 | 140603 | 49 | 36.283 | 3875.2 |
344 | 2025-02-16 22:42:14 | predicable | 2 | 108824 | 9 | 20.143 | 5402.6 |
343 | 2025-02-16 22:42:14 | predicable | 3 | 140603 | 49 | 17.093 | 8225.8 |
342 | 2025-02-04 13:05:57 | predicable | 1 | 67641 | 3 | 4.390 | 15408.0 |
341 | 2025-01-28 02:09:48 | predicable | 1 | 67641 | 3 | 5.390 | 12549.4 |
340 | 2025-01-25 17:40:40 | predicable | 1 | 67641 | 3 | 1.233 | 54858.9 |
339 | 2025-01-22 14:06:26 | predicable | 2 | 108824 | 9 | 14.750 | 7377.9 |
338 | 2025-01-22 14:02:17 | predicable | 1 | 67641 | 3 | 2.110 | 32057.3 |
337 | 2025-01-20 10:17:16 | predicable | 3 | 140603 | 49 | 41.143 | 3417.4 |
336 | 2025-01-19 21:30:32 | predicable | 3 | 140603 | 49 | 27.856 | 5047.5 |
335 | 2025-01-17 07:59:04 | predicable | 4 | 161450 | 279 | 73.013 | 2211.3 |
334 | 2025-01-16 08:00:25 | predicable | 4 | 161450 | 279 | 59.640 | 2707.1 |
333 | 2025-01-16 01:57:25 | predicable | 3 | 140603 | 49 | 23.500 | 5983.1 |
332 | 2025-01-15 21:51:03 | predicable | 4 | 161450 | 279 | 64.816 | 2490.9 |
331 | 2025-01-15 21:51:00 | predicable | 3 | 140603 | 49 | 33.033 | 4256.4 |
330 | 2025-01-15 21:50:48 | predicable | 2 | 108824 | 9 | 14.453 | 7529.5 |
329 | 2024-12-26 15:32:04 | predicable | 1 | 67641 | 3 | 1.030 | 65670.9 |
328 | 2024-12-23 09:12:30 | predicable | 1 | 67641 | 3 | 5.906 | 11452.9 |
327 | 2024-12-21 07:44:17 | predicable | 1 | 67641 | 3 | 1.986 | 34058.9 |
326 | 2024-12-17 01:19:15 | predicable | 1 | 67641 | 3 | 5.873 | 11517.3 |
325 | 2024-12-16 12:42:13 | predicable | 4 | 161450 | 279 | 44.330 | 3642.0 |
324 | 2024-12-16 11:51:06 | predicable | 4 | 161450 | 279 | 51.660 | 3125.2 |
323 | 2024-12-16 05:23:17 | predicable | 4 | 161450 | 279 | 73.290 | 2202.9 |
322 | 2024-12-16 02:18:01 | predicable | 4 | 161450 | 279 | 59.313 | 2722.0 |
321 | 2024-12-15 08:35:12 | predicable | 3 | 140603 | 49 | 17.360 | 8099.3 |
320 | 2024-12-02 06:57:18 | predicable | 3 | 140603 | 49 | 34.076 | 4126.2 |
319 | 2024-11-25 01:41:54 | predicable | 1 | 67641 | 3 | 5.516 | 12262.7 |
318 | 2024-11-22 13:35:28 | predicable | 1 | 67641 | 3 | 5.690 | 11887.7 |
317 | 2024-11-18 20:57:43 | predicable | 2 | 108824 | 9 | 14.940 | 7284.1 |
316 | 2024-11-15 08:36:29 | predicable | 3 | 140603 | 49 | 26.626 | 5280.7 |