History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"marplot"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
402 | 2025-07-09 04:24:06 | marplot | 1 | 69583 | 2 | 1.203 | 57841.2 |
401 | 2025-07-07 02:48:26 | marplot | 1 | 69583 | 2 | 6.733 | 10334.6 |
400 | 2025-06-20 17:32:13 | marplot | 1 | 69583 | 2 | 4.733 | 14701.7 |
399 | 2025-06-16 01:19:03 | marplot | 1 | 69583 | 2 | 8.936 | 7786.8 |
398 | 2025-06-15 08:59:44 | marplot | 1 | 69583 | 2 | 1.126 | 61796.6 |
397 | 2025-06-02 02:27:03 | marplot | 1 | 69583 | 2 | 5.986 | 11624.3 |
396 | 2025-05-30 16:04:22 | marplot | 3 | 134027 | 93 | 28.720 | 4666.7 |
395 | 2025-05-28 01:05:23 | marplot | 1 | 69583 | 2 | 1.263 | 55093.4 |
394 | 2025-05-27 16:40:13 | marplot | 4 | 151207 | 1176 | 11.690 | 12934.7 |
393 | 2025-05-20 13:35:33 | marplot | 1 | 69583 | 2 | 3.013 | 23094.3 |
392 | 2025-05-19 14:26:19 | marplot | 1 | 69583 | 2 | 1.283 | 54234.6 |
391 | 2025-05-17 16:41:48 | marplot | 1 | 69583 | 2 | 1.203 | 57841.2 |
390 | 2025-05-13 09:58:10 | marplot | 3 | 134027 | 93 | 23.376 | 5733.5 |
389 | 2025-05-11 15:33:36 | marplot | 3 | 134027 | 93 | 25.563 | 5243.0 |
388 | 2025-05-11 12:09:32 | marplot | 4 | 151207 | 1176 | 65.993 | 2291.3 |
387 | 2025-05-10 22:40:20 | marplot | 4 | 151207 | 1176 | 56.800 | 2662.1 |
386 | 2025-05-10 13:15:12 | marplot | 4 | 151207 | 1176 | 44.016 | 3435.3 |
385 | 2025-05-09 16:01:47 | marplot | 3 | 134027 | 93 | 9.533 | 14059.3 |
384 | 2025-05-09 14:21:17 | marplot | 3 | 134027 | 93 | 36.080 | 3714.7 |
383 | 2025-05-09 08:15:53 | marplot | 4 | 151207 | 1176 | 24.563 | 6155.9 |
382 | 2025-05-09 02:51:04 | marplot | 4 | 151207 | 1176 | 50.470 | 2996.0 |
381 | 2025-05-07 10:53:19 | marplot | 4 | 151207 | 1176 | 13.576 | 11137.8 |
380 | 2025-05-06 20:42:16 | marplot | 3 | 134027 | 93 | 7.423 | 18055.6 |
379 | 2025-05-04 15:40:57 | marplot | 1 | 69583 | 2 | 6.200 | 11223.1 |
378 | 2025-05-02 08:48:47 | marplot | 1 | 69583 | 2 | 3.190 | 21812.9 |
377 | 2025-04-22 21:26:34 | marplot | 1 | 69583 | 2 | 6.546 | 10629.9 |
376 | 2025-04-20 12:11:36 | marplot | 1 | 69583 | 2 | 5.953 | 11688.7 |
375 | 2025-04-16 14:27:17 | marplot | 1 | 69583 | 2 | 3.563 | 19529.3 |
374 | 2025-04-15 23:38:09 | marplot | 1 | 69583 | 2 | 3.626 | 19190.0 |
373 | 2025-04-09 12:37:14 | marplot | 3 | 134027 | 93 | 47.283 | 2834.6 |
372 | 2025-04-07 22:54:27 | marplot | 3 | 134027 | 93 | 35.706 | 3753.6 |
371 | 2025-04-04 22:13:04 | marplot | 3 | 134027 | 93 | 43.566 | 3076.4 |
370 | 2025-04-02 12:24:23 | marplot | 3 | 134027 | 93 | 22.970 | 5834.9 |
369 | 2025-04-01 03:07:21 | marplot | 3 | 134027 | 93 | 9.406 | 14249.1 |
368 | 2025-03-20 15:07:16 | marplot | 1 | 69583 | 2 | 5.470 | 12720.8 |
367 | 2025-03-20 09:01:06 | marplot | 3 | 134027 | 93 | 34.580 | 3875.9 |
366 | 2025-03-19 22:24:04 | marplot | 3 | 134027 | 93 | 31.940 | 4196.2 |
365 | 2025-03-16 23:57:21 | marplot | 1 | 69583 | 2 | 3.423 | 20328.1 |
364 | 2025-03-13 15:05:45 | marplot | 1 | 69583 | 2 | 4.500 | 15462.9 |
363 | 2025-03-13 07:08:22 | marplot | 1 | 69583 | 2 | 9.186 | 7574.9 |
362 | 2025-03-10 07:13:57 | marplot | 1 | 69583 | 2 | 6.266 | 11104.9 |
361 | 2025-03-10 03:12:28 | marplot | 1 | 69583 | 2 | 2.923 | 23805.3 |
360 | 2025-03-05 20:13:10 | marplot | 1 | 69583 | 2 | 3.860 | 18026.7 |
359 | 2025-02-27 23:51:54 | marplot | 1 | 69583 | 2 | 2.810 | 24762.6 |
358 | 2025-02-25 23:05:43 | marplot | 1 | 69583 | 2 | 6.423 | 10833.4 |
357 | 2025-02-20 03:09:54 | marplot | 1 | 69583 | 2 | 6.023 | 11552.9 |
356 | 2025-02-05 12:51:33 | marplot | 1 | 69583 | 2 | 5.753 | 12095.1 |
355 | 2025-02-02 22:44:01 | marplot | 1 | 69583 | 2 | 9.123 | 7627.2 |
354 | 2025-01-02 14:19:53 | marplot | 1 | 69583 | 2 | 3.706 | 18775.8 |
353 | 2024-11-30 18:54:21 | marplot | 3 | 134027 | 93 | 19.423 | 6900.4 |
352 | 2024-11-11 21:13:54 | marplot | 2 | 107671 | 8 | 25.066 | 4295.5 |
351 | 2024-11-11 03:54:20 | marplot | 1 | 69583 | 2 | 2.046 | 34009.3 |
350 | 2024-11-08 01:49:17 | marplot | 3 | 134027 | 93 | 40.800 | 3285.0 |
349 | 2024-11-07 19:11:09 | marplot | 3 | 134027 | 93 | 34.236 | 3914.8 |
348 | 2024-11-07 17:14:18 | marplot | 3 | 134027 | 93 | 32.363 | 4141.4 |
347 | 2024-11-07 17:14:19 | marplot | 3 | 134027 | 93 | 16.283 | 8231.1 |
346 | 2024-11-07 17:14:17 | marplot | 2 | 107671 | 8 | 14.093 | 7640.0 |
345 | 2024-11-07 17:14:11 | marplot | 1 | 69583 | 2 | 3.170 | 21950.5 |
344 | 2024-10-10 10:52:10 | marplot | 1 | 69583 | 2 | 8.796 | 7910.8 |
343 | 2024-10-05 09:09:28 | marplot | 3 | 134027 | 93 | 47.136 | 2843.4 |
342 | 2024-10-05 01:52:07 | marplot | 3 | 134027 | 93 | 54.050 | 2479.7 |
341 | 2024-10-03 02:03:20 | marplot | 3 | 134027 | 93 | 25.736 | 5207.8 |
340 | 2024-10-02 16:29:49 | marplot | 3 | 134027 | 93 | 55.283 | 2424.4 |
339 | 2024-10-02 13:18:41 | marplot | 3 | 134027 | 93 | 45.566 | 2941.4 |
338 | 2024-10-01 22:48:14 | marplot | 4 | 151207 | 1176 | 100.813 | 1499.9 |
337 | 2024-10-01 22:48:16 | marplot | 3 | 134027 | 93 | 53.720 | 2494.9 |
336 | 2024-10-01 22:48:16 | marplot | 2 | 107671 | 8 | 25.046 | 4298.9 |
335 | 2024-10-01 22:47:40 | marplot | 1 | 69583 | 2 | 4.966 | 14011.9 |
334 | 2024-09-15 12:36:17 | marplot | 1 | 69583 | 2 | 13.093 | 5314.5 |
333 | 2024-09-03 03:40:30 | marplot | 1 | 69583 | 2 | 12.670 | 5491.9 |
332 | 2024-08-28 06:25:00 | marplot | 1 | 69583 | 2 | 5.970 | 11655.4 |
331 | 2024-08-17 21:59:15 | marplot | 1 | 69583 | 2 | 9.640 | 7218.2 |
330 | 2024-08-06 22:56:26 | marplot | 1 | 69583 | 2 | 1.890 | 36816.4 |
329 | 2024-08-06 15:52:40 | marplot | 1 | 69583 | 2 | 3.046 | 22844.1 |
328 | 2024-08-02 22:39:06 | marplot | 1 | 69583 | 2 | 2.530 | 27503.2 |
327 | 2024-07-31 00:29:51 | marplot | 1 | 69583 | 2 | 1.283 | 54234.6 |
326 | 2024-07-17 10:14:33 | marplot | 1 | 69583 | 2 | 2.500 | 27833.2 |
325 | 2024-07-11 10:01:06 | marplot | 2 | 107671 | 8 | 12.406 | 8678.9 |
324 | 2024-07-11 10:01:13 | marplot | 2 | 107671 | 8 | 4.373 | 24621.8 |
323 | 2024-07-11 02:49:26 | marplot | 1 | 69583 | 2 | 4.093 | 17000.5 |
322 | 2024-07-11 02:25:20 | marplot | 1 | 69583 | 2 | 3.546 | 19623.0 |
321 | 2024-07-10 18:41:34 | marplot | 4 | 151207 | 1176 | 47.910 | 3156.1 |
320 | 2024-07-07 10:30:05 | marplot | 4 | 151207 | 1176 | 54.330 | 2783.1 |
319 | 2024-07-07 01:11:49 | marplot | 4 | 151207 | 1176 | 35.470 | 4263.0 |
318 | 2024-07-06 14:42:52 | marplot | 4 | 151207 | 1176 | 43.050 | 3512.4 |
317 | 2024-07-06 07:53:56 | marplot | 4 | 151207 | 1176 | 37.236 | 4060.8 |
316 | 2024-07-06 07:54:02 | marplot | 2 | 107671 | 8 | 15.516 | 6939.4 |
315 | 2024-07-06 07:53:07 | marplot | 1 | 69583 | 2 | 5.576 | 12479.0 |
314 | 2024-07-05 20:50:42 | marplot | 1 | 69583 | 2 | 6.126 | 11358.6 |
313 | 2024-07-05 20:48:49 | marplot | 1 | 69583 | 2 | 4.436 | 15686.0 |
312 | 2024-07-05 18:10:00 | marplot | 1 | 69583 | 2 | 5.343 | 13023.2 |
311 | 2024-06-23 06:53:33 | marplot | 1 | 69583 | 2 | 2.030 | 34277.3 |
310 | 2024-06-11 07:26:33 | marplot | 3 | 134027 | 93 | 24.720 | 5421.8 |
309 | 2024-06-09 13:23:17 | marplot | 1 | 69583 | 2 | 4.110 | 16930.2 |
308 | 2024-06-08 05:33:23 | marplot | 3 | 134027 | 93 | 10.560 | 12692.0 |
307 | 2024-06-07 12:38:00 | marplot | 3 | 134027 | 93 | 63.330 | 2116.3 |
306 | 2024-06-07 06:52:41 | marplot | 3 | 134027 | 93 | 25.753 | 5204.3 |
305 | 2024-06-06 21:45:43 | marplot | 3 | 134027 | 93 | 23.983 | 5588.4 |
304 | 2024-06-05 09:05:09 | marplot | 1 | 69583 | 2 | 1.360 | 51164.0 |
303 | 2024-05-16 07:58:40 | marplot | 1 | 69583 | 2 | 1.563 | 44518.9 |