History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"python"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
435 | 2025-07-13 03:51:27 | python | 1 | 48755 | 2 | 0.966 | 50471.0 |
434 | 2025-07-13 02:12:16 | python | 1 | 48755 | 2 | 0.890 | 54780.9 |
433 | 2025-07-11 02:52:48 | python | 2 | 82551 | 17 | 6.280 | 13145.1 |
432 | 2025-07-10 09:35:10 | python | 1 | 48755 | 2 | 3.813 | 12786.5 |
431 | 2025-06-30 12:41:04 | python | 3 | 112716 | 191 | 39.080 | 2884.2 |
430 | 2025-06-30 06:55:40 | python | 3 | 112716 | 191 | 28.110 | 4009.8 |
429 | 2025-06-28 19:59:19 | python | 3 | 112716 | 191 | 5.156 | 21861.1 |
428 | 2025-06-23 17:41:45 | python | 1 | 48755 | 2 | 0.940 | 51867.0 |
427 | 2025-06-20 12:10:51 | python | 1 | 48755 | 2 | 4.483 | 10875.5 |
426 | 2025-06-14 07:38:18 | python | 1 | 48755 | 2 | 4.203 | 11600.0 |
425 | 2025-06-10 03:41:00 | python | 1 | 48755 | 2 | 5.903 | 8259.4 |
424 | 2025-06-04 20:39:43 | python | 1 | 48755 | 2 | 5.953 | 8190.0 |
423 | 2025-06-04 01:01:53 | python | 1 | 48755 | 2 | 3.906 | 12482.1 |
422 | 2025-06-01 14:31:30 | python | 3 | 112716 | 191 | 35.893 | 3140.3 |
421 | 2025-05-30 15:47:44 | python | 1 | 48755 | 2 | 2.016 | 24184.0 |
420 | 2025-05-20 08:45:51 | python | 1 | 48755 | 2 | 4.423 | 11023.1 |
419 | 2025-05-14 07:41:47 | python | 1 | 48755 | 2 | 3.643 | 13383.2 |
418 | 2025-05-13 01:20:46 | python | 1 | 48755 | 2 | 0.843 | 57835.1 |
417 | 2025-05-11 21:56:44 | python | 3 | 112716 | 191 | 22.470 | 5016.3 |
416 | 2025-05-11 04:24:58 | python | 3 | 112716 | 191 | 25.643 | 4395.6 |
415 | 2025-05-10 03:41:38 | python | 1 | 48755 | 2 | 4.296 | 11348.9 |
414 | 2025-05-09 17:28:45 | python | 3 | 112716 | 191 | 5.546 | 20323.8 |
413 | 2025-05-09 17:20:31 | python | 2 | 82551 | 17 | 2.453 | 33653.1 |
412 | 2025-05-09 14:44:55 | python | 1 | 48755 | 2 | 0.750 | 65006.7 |
411 | 2025-05-02 04:06:17 | python | 1 | 48755 | 2 | 3.720 | 13106.2 |
410 | 2025-04-29 14:49:32 | python | 1 | 48755 | 2 | 3.890 | 12533.4 |
409 | 2025-04-28 22:42:52 | python | 1 | 48755 | 2 | 4.673 | 10433.3 |
408 | 2025-04-23 08:52:18 | python | 1 | 48755 | 2 | 1.780 | 27390.4 |
407 | 2025-04-21 14:17:53 | python | 2 | 82551 | 17 | 15.000 | 5503.4 |
406 | 2025-04-20 07:42:28 | python | 1 | 48755 | 2 | 3.393 | 14369.3 |
405 | 2025-04-20 00:29:53 | python | 2 | 82551 | 17 | 7.206 | 11455.9 |
404 | 2025-04-09 07:34:18 | python | 1 | 48755 | 2 | 3.486 | 13985.9 |
403 | 2025-04-09 02:38:26 | python | 2 | 82551 | 17 | 11.906 | 6933.6 |
402 | 2025-04-08 03:19:20 | python | 1 | 48755 | 2 | 2.890 | 16870.2 |
401 | 2025-04-04 00:26:56 | python | 1 | 48755 | 2 | 3.906 | 12482.1 |
400 | 2025-03-20 09:48:17 | python | 1 | 48755 | 2 | 3.813 | 12786.5 |
399 | 2025-03-17 18:58:32 | python | 1 | 48755 | 2 | 5.733 | 8504.3 |
398 | 2025-03-17 16:56:47 | python | 1 | 48755 | 2 | 3.826 | 12743.1 |
397 | 2025-03-15 10:54:43 | python | 1 | 48755 | 2 | 4.123 | 11825.1 |
396 | 2025-03-14 16:37:12 | python | 1 | 48755 | 2 | 4.280 | 11391.4 |
395 | 2025-03-12 23:28:49 | python | 1 | 48755 | 2 | 4.050 | 12038.3 |
394 | 2025-03-12 21:12:14 | python | 1 | 48755 | 2 | 2.110 | 23106.6 |
393 | 2025-03-08 04:24:47 | python | 1 | 48755 | 2 | 4.173 | 11683.4 |
392 | 2025-02-27 09:06:30 | python | 1 | 48755 | 2 | 3.780 | 12898.1 |
391 | 2025-02-27 05:25:27 | python | 1 | 48755 | 2 | 2.406 | 20263.9 |
390 | 2025-02-26 01:43:15 | python | 2 | 82551 | 17 | 6.173 | 13372.9 |
389 | 2025-02-25 06:40:08 | python | 1 | 48755 | 2 | 3.890 | 12533.4 |
388 | 2025-02-07 18:07:47 | python | 3 | 112716 | 191 | 18.796 | 5996.8 |
387 | 2025-02-07 18:07:28 | python | 2 | 82551 | 17 | 6.170 | 13379.4 |
386 | 2025-02-06 14:07:34 | python | 2 | 82551 | 17 | 2.486 | 33206.4 |
385 | 2025-01-28 00:54:14 | python | 1 | 48755 | 2 | 4.046 | 12050.2 |
384 | 2025-01-24 16:57:27 | python | 1 | 48755 | 2 | 2.750 | 17729.1 |
383 | 2025-01-23 21:55:51 | python | 3 | 112716 | 191 | 17.063 | 6605.9 |
382 | 2025-01-23 02:37:51 | python | 3 | 112716 | 191 | 24.800 | 4545.0 |
381 | 2025-01-23 02:38:03 | python | 2 | 82551 | 17 | 9.500 | 8689.6 |
380 | 2025-01-23 02:37:30 | python | 1 | 48755 | 2 | 1.936 | 25183.4 |
379 | 2024-12-27 19:38:52 | python | 1 | 48755 | 2 | 2.170 | 22467.7 |
378 | 2024-12-16 17:08:57 | python | 3 | 112716 | 191 | 15.063 | 7483.0 |
377 | 2024-12-16 11:13:01 | python | 3 | 112716 | 191 | 16.313 | 6909.6 |
376 | 2024-12-16 11:12:52 | python | 1 | 48755 | 2 | 2.576 | 18926.6 |
375 | 2024-12-14 15:47:54 | python | 3 | 112716 | 191 | 25.473 | 4424.9 |
374 | 2024-12-14 15:47:55 | python | 2 | 82551 | 17 | 5.313 | 15537.5 |
373 | 2024-12-14 15:47:52 | python | 1 | 48755 | 2 | 1.720 | 28345.9 |
372 | 2024-12-05 22:20:37 | python | 1 | 48755 | 2 | 3.906 | 12482.1 |
371 | 2024-11-28 02:05:01 | python | 2 | 82551 | 17 | 4.986 | 16556.6 |
370 | 2024-11-27 22:14:09 | python | 2 | 82551 | 17 | 16.890 | 4887.6 |
369 | 2024-11-27 16:17:41 | python | 2 | 82551 | 17 | 13.470 | 6128.5 |
368 | 2024-11-27 16:17:16 | python | 1 | 48755 | 2 | 5.800 | 8406.0 |
367 | 2024-11-12 07:37:05 | python | 1 | 48755 | 2 | 4.000 | 12188.8 |
366 | 2024-11-11 17:43:25 | python | 3 | 112716 | 191 | 22.986 | 4903.7 |
365 | 2024-11-10 21:21:26 | python | 3 | 112716 | 191 | 32.736 | 3443.2 |
364 | 2024-11-10 11:26:18 | python | 2 | 82551 | 17 | 11.406 | 7237.5 |
363 | 2024-11-10 11:26:09 | python | 3 | 112716 | 191 | 13.393 | 8416.0 |
362 | 2024-11-10 08:41:34 | python | 1 | 48755 | 2 | 0.733 | 66514.3 |
361 | 2024-11-05 02:51:45 | python | 1 | 48755 | 2 | 5.936 | 8213.4 |
360 | 2024-10-26 16:37:44 | python | 1 | 48755 | 2 | 5.970 | 8166.7 |
359 | 2024-10-10 05:57:34 | python | 2 | 82551 | 17 | 3.596 | 22956.3 |
358 | 2024-10-10 05:15:07 | python | 3 | 112716 | 191 | 25.423 | 4433.6 |
357 | 2024-10-09 20:52:33 | python | 1 | 48755 | 2 | 5.860 | 8320.0 |
356 | 2024-10-09 15:33:20 | python | 3 | 112716 | 191 | 22.826 | 4938.1 |
355 | 2024-10-09 15:21:14 | python | 3 | 112716 | 191 | 29.593 | 3808.9 |
354 | 2024-10-09 13:35:51 | python | 3 | 112716 | 191 | 24.376 | 4624.1 |
353 | 2024-10-09 13:35:51 | python | 2 | 82551 | 17 | 12.703 | 6498.5 |
352 | 2024-10-09 13:35:41 | python | 1 | 48755 | 2 | 2.906 | 16777.4 |
351 | 2024-09-30 23:28:18 | python | 1 | 48755 | 2 | 2.846 | 17131.1 |
350 | 2024-09-12 16:15:48 | python | 1 | 48755 | 2 | 8.360 | 5831.9 |
349 | 2024-09-12 16:15:01 | python | 1 | 48755 | 2 | 6.660 | 7320.6 |
348 | 2024-09-06 20:44:02 | python | 1 | 48755 | 2 | 7.656 | 6368.2 |
347 | 2024-09-05 04:01:36 | python | 1 | 48755 | 2 | 9.656 | 5049.2 |
346 | 2024-08-20 12:52:33 | python | 1 | 48755 | 2 | 3.000 | 16251.7 |
345 | 2024-08-15 09:35:07 | python | 1 | 48755 | 2 | 4.703 | 10366.8 |
344 | 2024-08-02 07:31:47 | python | 1 | 48755 | 2 | 3.310 | 14729.6 |
343 | 2024-07-30 02:40:32 | python | 1 | 48755 | 2 | 4.076 | 11961.5 |
342 | 2024-07-28 22:05:51 | python | 1 | 48755 | 2 | 2.376 | 20519.8 |
341 | 2024-07-27 23:58:53 | python | 2 | 82551 | 17 | 10.986 | 7514.2 |
340 | 2024-07-24 04:22:28 | python | 1 | 48755 | 2 | 2.920 | 16696.9 |
339 | 2024-07-05 19:30:51 | python | 1 | 48755 | 2 | 5.046 | 9662.1 |
338 | 2024-07-02 08:25:31 | python | 1 | 48755 | 2 | 3.830 | 12729.8 |
337 | 2024-07-02 02:51:10 | python | 1 | 48755 | 2 | 3.123 | 15611.6 |
336 | 2024-06-28 12:44:52 | python | 1 | 48755 | 2 | 4.656 | 10471.4 |