History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"precisest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
371 | 2025-09-01 00:36:47 | precisest | 2 | 121436 | 11 | 3.296 | 36843.4 |
370 | 2025-08-30 20:32:58 | precisest | 3 | 148641 | 103 | 7.486 | 19855.9 |
369 | 2025-08-28 16:58:28 | precisest | 1 | 81242 | 2 | 1.340 | 60628.4 |
368 | 2025-08-28 07:24:15 | precisest | 1 | 81242 | 2 | 1.390 | 58447.5 |
367 | 2025-08-27 01:27:44 | precisest | 1 | 81242 | 2 | 2.983 | 27235.0 |
366 | 2025-08-26 20:42:39 | precisest | 3 | 148641 | 103 | 35.170 | 4226.4 |
365 | 2025-08-24 13:19:33 | precisest | 1 | 81242 | 2 | 1.440 | 56418.1 |
364 | 2025-08-19 07:27:06 | precisest | 1 | 81242 | 2 | 3.283 | 24746.3 |
363 | 2025-08-06 13:03:36 | precisest | 2 | 121436 | 11 | 19.470 | 6237.1 |
362 | 2025-08-06 11:29:23 | precisest | 3 | 148641 | 103 | 22.733 | 6538.6 |
361 | 2025-08-06 03:12:48 | precisest | 1 | 81242 | 2 | 3.093 | 26266.4 |
360 | 2025-08-04 09:03:46 | precisest | 1 | 81242 | 2 | 1.513 | 53696.0 |
359 | 2025-07-28 09:13:34 | precisest | 1 | 81242 | 2 | 2.763 | 29403.5 |
358 | 2025-07-27 01:41:33 | precisest | 1 | 81242 | 2 | 5.876 | 13826.1 |
357 | 2025-07-25 23:10:14 | precisest | 1 | 81242 | 2 | 1.360 | 59736.8 |
356 | 2025-07-23 23:49:21 | precisest | 1 | 81242 | 2 | 6.860 | 11842.9 |
355 | 2025-07-15 01:10:41 | precisest | 3 | 148641 | 103 | 40.723 | 3650.1 |
354 | 2025-07-15 01:10:54 | precisest | 2 | 121436 | 11 | 22.940 | 5293.6 |
353 | 2025-07-13 07:07:04 | precisest | 1 | 81242 | 2 | 2.300 | 35322.6 |
352 | 2025-07-07 14:00:56 | precisest | 1 | 81242 | 2 | 7.233 | 11232.1 |
351 | 2025-07-06 21:15:55 | precisest | 1 | 81242 | 2 | 1.483 | 54782.2 |
350 | 2025-06-24 07:05:46 | precisest | 1 | 81242 | 2 | 3.326 | 24426.3 |
349 | 2025-06-20 09:05:03 | precisest | 1 | 81242 | 2 | 7.513 | 10813.5 |
348 | 2025-06-13 00:58:53 | precisest | 1 | 81242 | 2 | 6.500 | 12498.8 |
347 | 2025-06-12 08:05:10 | precisest | 1 | 81242 | 2 | 4.813 | 16879.7 |
346 | 2025-06-12 07:22:40 | precisest | 1 | 81242 | 2 | 4.810 | 16890.2 |
345 | 2025-06-11 06:44:57 | precisest | 2 | 121436 | 11 | 18.670 | 6504.3 |
344 | 2025-06-08 14:59:50 | precisest | 2 | 121436 | 11 | 10.126 | 11992.5 |
343 | 2025-06-07 13:19:52 | precisest | 1 | 81242 | 2 | 3.456 | 23507.5 |
342 | 2025-05-30 19:04:58 | precisest | 1 | 81242 | 2 | 1.296 | 62686.7 |
341 | 2025-05-28 03:30:27 | precisest | 2 | 121436 | 11 | 4.000 | 30359.0 |
340 | 2025-05-24 07:22:02 | precisest | 1 | 81242 | 2 | 9.750 | 8332.5 |
339 | 2025-05-23 19:12:20 | precisest | 3 | 148641 | 103 | 21.346 | 6963.4 |
338 | 2025-05-22 14:10:47 | precisest | 3 | 148641 | 103 | 33.940 | 4379.5 |
337 | 2025-05-22 06:49:41 | precisest | 3 | 148641 | 103 | 32.360 | 4593.4 |
336 | 2025-05-20 18:15:25 | precisest | 3 | 148641 | 103 | 46.203 | 3217.1 |
335 | 2025-05-19 20:45:45 | precisest | 2 | 121436 | 11 | 22.750 | 5337.8 |
334 | 2025-05-19 17:13:41 | precisest | 1 | 81242 | 2 | 1.483 | 54782.2 |
333 | 2025-05-10 01:49:04 | precisest | 1 | 81242 | 2 | 5.783 | 14048.4 |
332 | 2025-05-08 07:17:26 | precisest | 1 | 81242 | 2 | 3.533 | 22995.2 |
331 | 2025-05-06 18:11:25 | precisest | 1 | 81242 | 2 | 9.156 | 8873.1 |
330 | 2025-05-03 18:48:50 | precisest | 1 | 81242 | 2 | 1.360 | 59736.8 |
329 | 2025-04-23 05:39:05 | precisest | 1 | 81242 | 2 | 6.923 | 11735.1 |
328 | 2025-04-16 16:39:56 | precisest | 1 | 81242 | 2 | 4.050 | 20059.8 |
327 | 2025-04-16 15:25:28 | precisest | 1 | 81242 | 2 | 3.233 | 25129.0 |
326 | 2025-04-13 00:34:59 | precisest | 1 | 81242 | 2 | 4.140 | 19623.7 |
325 | 2025-04-09 01:29:31 | precisest | 1 | 81242 | 2 | 10.390 | 7819.2 |
324 | 2025-04-02 06:56:44 | precisest | 1 | 81242 | 2 | 8.106 | 10022.5 |
323 | 2025-03-13 20:20:22 | precisest | 1 | 81242 | 2 | 7.190 | 11299.3 |
322 | 2025-03-13 13:02:41 | precisest | 1 | 81242 | 2 | 7.063 | 11502.5 |
321 | 2025-03-03 12:13:24 | precisest | 2 | 121436 | 11 | 22.156 | 5481.0 |
320 | 2025-03-03 11:48:28 | precisest | 1 | 81242 | 2 | 3.250 | 24997.5 |
319 | 2025-03-02 03:12:44 | precisest | 3 | 148641 | 103 | 30.610 | 4856.0 |
318 | 2025-03-01 15:00:22 | precisest | 3 | 148641 | 103 | 39.563 | 3757.1 |
317 | 2025-03-01 15:00:16 | precisest | 2 | 121436 | 11 | 9.423 | 12887.2 |
316 | 2025-03-01 14:59:02 | precisest | 1 | 81242 | 2 | 4.033 | 20144.3 |
315 | 2025-02-28 07:51:01 | precisest | 1 | 81242 | 2 | 6.796 | 11954.4 |
314 | 2025-02-27 14:24:05 | precisest | 1 | 81242 | 2 | 3.406 | 23852.6 |
313 | 2025-02-09 05:04:11 | precisest | 1 | 81242 | 2 | 1.313 | 61875.1 |
312 | 2025-02-04 20:12:05 | precisest | 1 | 81242 | 2 | 6.453 | 12589.8 |
311 | 2025-02-01 03:34:15 | precisest | 3 | 148641 | 103 | 36.893 | 4029.0 |
310 | 2025-01-31 19:56:32 | precisest | 2 | 121436 | 11 | 16.186 | 7502.5 |
309 | 2025-01-31 19:56:18 | precisest | 1 | 81242 | 2 | 6.890 | 11791.3 |
308 | 2025-01-28 15:39:26 | precisest | 3 | 148641 | 103 | 45.190 | 3289.2 |
307 | 2025-01-28 15:16:43 | precisest | 3 | 148641 | 103 | 36.080 | 4119.8 |
306 | 2025-01-27 19:26:53 | precisest | 1 | 81242 | 2 | 9.233 | 8799.1 |
305 | 2024-12-30 18:23:39 | precisest | 1 | 81242 | 2 | 1.373 | 59171.2 |
304 | 2024-12-30 07:00:12 | precisest | 1 | 81242 | 2 | 3.593 | 22611.2 |
303 | 2024-12-26 01:13:54 | precisest | 3 | 148641 | 103 | 36.640 | 4056.8 |
302 | 2024-12-25 23:53:19 | precisest | 3 | 148641 | 103 | 23.863 | 6228.9 |
301 | 2024-12-25 23:51:53 | precisest | 1 | 81242 | 2 | 8.296 | 9792.9 |
300 | 2024-12-25 14:28:55 | precisest | 2 | 121436 | 11 | 18.860 | 6438.8 |
299 | 2024-12-23 04:37:47 | precisest | 3 | 148641 | 103 | 35.220 | 4220.4 |
298 | 2024-12-22 09:58:42 | precisest | 3 | 148641 | 103 | 19.123 | 7772.9 |
297 | 2024-12-21 15:36:00 | precisest | 1 | 81242 | 2 | 5.766 | 14089.8 |
296 | 2024-12-11 02:12:56 | precisest | 2 | 121436 | 11 | 16.500 | 7359.8 |
295 | 2024-11-30 10:24:23 | precisest | 2 | 121436 | 11 | 16.673 | 7283.4 |
294 | 2024-11-30 10:03:01 | precisest | 1 | 81242 | 2 | 3.610 | 22504.7 |
293 | 2024-11-30 06:40:40 | precisest | 2 | 121436 | 11 | 9.596 | 12654.9 |
292 | 2024-11-29 12:05:14 | precisest | 2 | 121436 | 11 | 18.266 | 6648.2 |
291 | 2024-11-29 11:31:55 | precisest | 1 | 81242 | 2 | 4.203 | 19329.5 |
290 | 2024-11-24 07:17:47 | precisest | 3 | 148641 | 103 | 59.006 | 2519.1 |
289 | 2024-11-22 05:51:20 | precisest | 3 | 148641 | 103 | 60.676 | 2449.7 |
288 | 2024-11-21 09:53:42 | precisest | 3 | 148641 | 103 | 46.063 | 3226.9 |
287 | 2024-11-21 09:09:48 | precisest | 3 | 148641 | 103 | 50.626 | 2936.1 |
286 | 2024-11-21 09:09:50 | precisest | 2 | 121436 | 11 | 14.860 | 8172.0 |
285 | 2024-11-21 09:09:33 | precisest | 1 | 81242 | 2 | 3.890 | 20884.8 |
284 | 2024-11-19 13:12:59 | precisest | 1 | 81242 | 2 | 4.080 | 19912.3 |
283 | 2024-10-29 11:32:04 | precisest | 1 | 81242 | 2 | 8.330 | 9752.9 |
282 | 2024-10-20 11:49:48 | precisest | 2 | 121436 | 11 | 19.783 | 6138.4 |
281 | 2024-10-20 08:35:32 | precisest | 2 | 121436 | 11 | 17.313 | 7014.2 |
280 | 2024-10-20 08:35:17 | precisest | 1 | 81242 | 2 | 6.063 | 13399.6 |
279 | 2024-10-11 21:52:00 | precisest | 2 | 121436 | 11 | 18.266 | 6648.2 |
278 | 2024-10-07 18:29:46 | precisest | 2 | 121436 | 11 | 39.266 | 3092.7 |
277 | 2024-10-07 08:11:50 | precisest | 2 | 121436 | 11 | 39.280 | 3091.5 |
276 | 2024-10-06 22:33:47 | precisest | 3 | 148641 | 103 | 54.033 | 2750.9 |
275 | 2024-10-06 22:33:56 | precisest | 2 | 121436 | 11 | 34.563 | 3513.5 |
274 | 2024-10-06 22:03:56 | precisest | 1 | 81242 | 2 | 5.610 | 14481.6 |
273 | 2024-10-06 18:40:41 | precisest | 1 | 81242 | 2 | 11.380 | 7139.0 |
272 | 2024-09-05 01:29:23 | precisest | 1 | 81242 | 2 | 5.906 | 13755.8 |