History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"squarely"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
393 | 2025-08-27 08:47:13 | squarely | 1 | 82945 | 1 | 1.450 | 57203.4 |
392 | 2025-08-26 22:02:47 | squarely | 1 | 82945 | 1 | 1.796 | 46183.2 |
391 | 2025-08-23 15:13:59 | squarely | 1 | 82945 | 1 | 3.360 | 24686.0 |
390 | 2025-08-22 16:38:41 | squarely | 1 | 82945 | 1 | 1.500 | 55296.7 |
389 | 2025-08-10 18:49:51 | squarely | 3 | 146162 | 86 | 18.643 | 7840.0 |
388 | 2025-08-09 10:49:47 | squarely | 3 | 146162 | 86 | 24.893 | 5871.6 |
387 | 2025-08-06 14:26:31 | squarely | 2 | 121059 | 13 | 14.906 | 8121.5 |
386 | 2025-08-06 11:48:46 | squarely | 3 | 146162 | 86 | 20.110 | 7268.1 |
385 | 2025-08-04 12:35:21 | squarely | 1 | 82945 | 1 | 3.283 | 25265.0 |
384 | 2025-08-02 14:11:14 | squarely | 1 | 82945 | 1 | 3.356 | 24715.4 |
383 | 2025-08-02 09:36:00 | squarely | 2 | 121059 | 13 | 8.470 | 14292.7 |
382 | 2025-08-02 08:59:31 | squarely | 3 | 146162 | 86 | 18.720 | 7807.8 |
381 | 2025-08-01 13:28:25 | squarely | 1 | 82945 | 1 | 3.533 | 23477.2 |
380 | 2025-08-01 00:21:21 | squarely | 1 | 82945 | 1 | 5.110 | 16231.9 |
379 | 2025-07-29 13:59:16 | squarely | 4 | 161609 | 659 | 41.190 | 3923.5 |
378 | 2025-07-28 23:49:23 | squarely | 3 | 146162 | 86 | 18.406 | 7941.0 |
377 | 2025-07-27 03:55:57 | squarely | 4 | 161609 | 659 | 39.000 | 4143.8 |
376 | 2025-07-26 08:42:49 | squarely | 1 | 82945 | 1 | 5.360 | 15474.8 |
375 | 2025-07-25 08:37:42 | squarely | 1 | 82945 | 1 | 3.546 | 23391.1 |
374 | 2025-07-23 23:12:48 | squarely | 1 | 82945 | 1 | 3.623 | 22894.0 |
373 | 2025-07-23 06:50:07 | squarely | 1 | 82945 | 1 | 7.673 | 10810.0 |
372 | 2025-07-17 05:11:17 | squarely | 1 | 82945 | 1 | 8.030 | 10329.4 |
371 | 2025-07-15 01:04:28 | squarely | 1 | 82945 | 1 | 9.376 | 8846.5 |
370 | 2025-07-14 06:03:02 | squarely | 4 | 161609 | 659 | 51.016 | 3167.8 |
369 | 2025-07-12 23:12:55 | squarely | 2 | 121059 | 13 | 3.906 | 30993.1 |
368 | 2025-07-12 18:57:48 | squarely | 4 | 161609 | 659 | 12.656 | 12769.4 |
367 | 2025-07-05 05:35:59 | squarely | 4 | 161609 | 659 | 37.320 | 4330.4 |
366 | 2025-07-04 04:53:34 | squarely | 1 | 82945 | 1 | 5.186 | 15994.0 |
365 | 2025-06-28 03:15:26 | squarely | 4 | 161609 | 659 | 95.643 | 1689.7 |
364 | 2025-06-27 14:58:18 | squarely | 4 | 161609 | 659 | 46.976 | 3440.2 |
363 | 2025-06-27 13:41:38 | squarely | 1 | 82945 | 1 | 3.343 | 24811.5 |
362 | 2025-06-26 13:14:25 | squarely | 1 | 82945 | 1 | 6.640 | 12491.7 |
361 | 2025-06-26 04:22:04 | squarely | 4 | 161609 | 659 | 54.973 | 2939.8 |
360 | 2025-06-25 12:17:48 | squarely | 4 | 161609 | 659 | 11.330 | 14263.8 |
359 | 2025-06-24 08:21:50 | squarely | 1 | 82945 | 1 | 7.000 | 11849.3 |
358 | 2025-06-23 22:13:46 | squarely | 1 | 82945 | 1 | 6.033 | 13748.5 |
357 | 2025-06-22 23:51:02 | squarely | 4 | 161609 | 659 | 22.033 | 7334.9 |
356 | 2025-06-16 22:47:13 | squarely | 4 | 161609 | 659 | 51.796 | 3120.1 |
355 | 2025-06-16 14:26:38 | squarely | 3 | 146162 | 86 | 22.533 | 6486.6 |
354 | 2025-06-13 13:08:46 | squarely | 3 | 146162 | 86 | 9.796 | 14920.6 |
353 | 2025-06-08 14:48:46 | squarely | 1 | 82945 | 1 | 3.546 | 23391.1 |
352 | 2025-06-07 23:37:10 | squarely | 1 | 82945 | 1 | 9.966 | 8322.8 |
351 | 2025-06-07 01:50:31 | squarely | 1 | 82945 | 1 | 5.876 | 14115.9 |
350 | 2025-06-04 20:17:48 | squarely | 4 | 161609 | 659 | 64.786 | 2494.5 |
349 | 2025-06-03 04:57:54 | squarely | 4 | 161609 | 659 | 34.926 | 4627.2 |
348 | 2025-06-01 23:06:37 | squarely | 1 | 82945 | 1 | 7.533 | 11010.9 |
347 | 2025-05-28 05:16:07 | squarely | 3 | 146162 | 86 | 6.503 | 22476.1 |
346 | 2025-05-27 19:34:34 | squarely | 3 | 146162 | 86 | 32.050 | 4560.4 |
345 | 2025-05-27 14:21:15 | squarely | 4 | 161609 | 659 | 53.486 | 3021.5 |
344 | 2025-05-26 04:05:55 | squarely | 4 | 161609 | 659 | 47.610 | 3394.4 |
343 | 2025-05-26 03:20:35 | squarely | 4 | 161609 | 659 | 62.536 | 2584.3 |
342 | 2025-05-25 05:02:18 | squarely | 4 | 161609 | 659 | 12.420 | 13012.0 |
341 | 2025-05-23 18:22:58 | squarely | 2 | 121059 | 13 | 14.203 | 8523.5 |
340 | 2025-05-23 18:16:40 | squarely | 3 | 146162 | 86 | 16.440 | 8890.6 |
339 | 2025-05-22 08:33:53 | squarely | 1 | 82945 | 1 | 5.266 | 15751.0 |
338 | 2025-05-21 13:21:45 | squarely | 1 | 82945 | 1 | 1.330 | 62364.7 |
337 | 2025-05-21 09:51:30 | squarely | 1 | 82945 | 1 | 2.763 | 30019.9 |
336 | 2025-05-12 00:14:03 | squarely | 1 | 82945 | 1 | 6.923 | 11981.1 |
335 | 2025-04-30 23:21:53 | squarely | 3 | 146162 | 86 | 19.890 | 7348.5 |
334 | 2025-04-26 12:01:36 | squarely | 3 | 146162 | 86 | 37.753 | 3871.5 |
333 | 2025-04-26 08:46:12 | squarely | 2 | 121059 | 13 | 18.330 | 6604.4 |
332 | 2025-04-20 02:19:30 | squarely | 3 | 146162 | 86 | 51.016 | 2865.0 |
331 | 2025-04-19 21:44:58 | squarely | 1 | 82945 | 1 | 10.376 | 7993.9 |
330 | 2025-04-18 13:01:01 | squarely | 1 | 82945 | 1 | 4.423 | 18753.1 |
329 | 2025-04-15 22:42:27 | squarely | 1 | 82945 | 1 | 4.033 | 20566.6 |
328 | 2025-04-04 22:32:37 | squarely | 1 | 82945 | 1 | 6.560 | 12644.1 |
327 | 2025-03-31 01:17:34 | squarely | 1 | 82945 | 1 | 5.953 | 13933.3 |
326 | 2025-03-29 10:05:05 | squarely | 3 | 146162 | 86 | 39.550 | 3695.6 |
325 | 2025-03-28 19:39:59 | squarely | 3 | 146162 | 86 | 6.143 | 23793.3 |
324 | 2025-03-26 11:08:28 | squarely | 3 | 146162 | 86 | 48.550 | 3010.5 |
323 | 2025-03-25 23:06:32 | squarely | 3 | 146162 | 86 | 7.630 | 19156.2 |
322 | 2025-03-20 14:11:56 | squarely | 1 | 82945 | 1 | 9.470 | 8758.7 |
321 | 2025-03-16 23:29:43 | squarely | 3 | 146162 | 86 | 31.503 | 4639.6 |
320 | 2025-03-16 23:08:22 | squarely | 3 | 146162 | 86 | 27.453 | 5324.1 |
319 | 2025-03-16 17:19:42 | squarely | 3 | 146162 | 86 | 61.456 | 2378.3 |
318 | 2025-03-16 17:19:13 | squarely | 3 | 146162 | 86 | 58.923 | 2480.6 |
317 | 2025-03-16 08:09:36 | squarely | 3 | 146162 | 86 | 36.173 | 4040.6 |
316 | 2025-03-16 07:32:35 | squarely | 3 | 146162 | 86 | 36.250 | 4032.1 |
315 | 2025-03-16 07:32:42 | squarely | 3 | 146162 | 86 | 28.186 | 5185.6 |
314 | 2025-03-16 01:53:51 | squarely | 3 | 146162 | 86 | 38.440 | 3802.3 |
313 | 2025-03-16 00:45:22 | squarely | 4 | 161609 | 659 | 54.020 | 2991.7 |
312 | 2025-03-16 00:45:21 | squarely | 3 | 146162 | 86 | 35.160 | 4157.1 |
311 | 2025-03-14 04:15:35 | squarely | 1 | 82945 | 1 | 7.106 | 11672.5 |
310 | 2025-03-11 06:13:25 | squarely | 1 | 82945 | 1 | 3.436 | 24140.0 |
309 | 2025-03-10 00:42:32 | squarely | 1 | 82945 | 1 | 6.876 | 12063.0 |
308 | 2025-03-05 19:51:55 | squarely | 1 | 82945 | 1 | 3.750 | 22118.7 |
307 | 2025-02-21 22:17:09 | squarely | 1 | 82945 | 1 | 6.140 | 13509.0 |
306 | 2025-02-18 14:00:27 | squarely | 2 | 121059 | 13 | 15.313 | 7905.6 |
305 | 2025-02-11 15:51:11 | squarely | 4 | 161609 | 659 | 57.736 | 2799.1 |
304 | 2025-02-11 15:50:41 | squarely | 2 | 121059 | 13 | 18.640 | 6494.6 |
303 | 2025-02-10 15:59:19 | squarely | 4 | 161609 | 659 | 76.953 | 2100.1 |
302 | 2025-02-10 15:58:38 | squarely | 3 | 146162 | 86 | 28.113 | 5199.1 |
301 | 2025-02-09 09:32:46 | squarely | 1 | 82945 | 1 | 8.563 | 9686.4 |
300 | 2025-02-08 15:37:09 | squarely | 4 | 161609 | 659 | 26.720 | 6048.2 |
299 | 2025-02-07 18:04:07 | squarely | 3 | 146162 | 86 | 27.440 | 5326.6 |
298 | 2025-02-07 08:16:32 | squarely | 1 | 82945 | 1 | 3.233 | 25655.7 |
297 | 2025-02-06 12:29:18 | squarely | 3 | 146162 | 86 | 18.283 | 7994.4 |
296 | 2025-02-06 06:44:51 | squarely | 3 | 146162 | 86 | 10.986 | 13304.4 |
295 | 2025-02-06 06:44:52 | squarely | 2 | 121059 | 13 | 4.280 | 28284.8 |
294 | 2025-02-06 06:44:53 | squarely | 1 | 82945 | 1 | 1.486 | 55817.6 |