History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"agilely"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
360 | 2025-05-06 01:54:00 | agilely | 1 | 69583 | 1 | 3.016 | 23071.3 |
359 | 2025-04-28 13:43:03 | agilely | 3 | 134027 | 124 | 35.703 | 3753.9 |
358 | 2025-04-27 22:16:24 | agilely | 3 | 134027 | 124 | 44.753 | 2994.8 |
357 | 2025-04-26 11:42:30 | agilely | 2 | 107671 | 8 | 11.593 | 9287.6 |
356 | 2025-04-25 02:06:09 | agilely | 2 | 107671 | 8 | 16.296 | 6607.2 |
355 | 2025-04-25 00:15:26 | agilely | 3 | 134027 | 124 | 39.940 | 3355.7 |
354 | 2025-04-22 22:09:47 | agilely | 1 | 69583 | 1 | 4.530 | 15360.5 |
353 | 2025-04-16 11:32:24 | agilely | 1 | 69583 | 1 | 2.890 | 24077.2 |
352 | 2025-04-06 13:45:55 | agilely | 1 | 69583 | 1 | 4.500 | 15462.9 |
351 | 2025-03-27 15:36:11 | agilely | 3 | 134027 | 124 | 23.843 | 5621.2 |
350 | 2025-03-25 07:02:03 | agilely | 2 | 107671 | 8 | 18.516 | 5815.0 |
349 | 2025-03-25 02:18:26 | agilely | 3 | 134027 | 124 | 35.410 | 3785.0 |
348 | 2025-03-21 05:15:37 | agilely | 1 | 69583 | 1 | 8.500 | 8186.2 |
347 | 2025-03-18 03:15:45 | agilely | 1 | 69583 | 1 | 5.780 | 12038.6 |
346 | 2025-02-26 19:30:14 | agilely | 1 | 69583 | 1 | 4.093 | 17000.5 |
345 | 2025-02-01 07:44:07 | agilely | 1 | 69583 | 1 | 8.686 | 8010.9 |
344 | 2025-01-26 01:05:56 | agilely | 1 | 69583 | 1 | 6.110 | 11388.4 |
343 | 2024-12-25 13:56:44 | agilely | 2 | 107671 | 8 | 16.263 | 6620.6 |
342 | 2024-12-24 14:44:48 | agilely | 2 | 107671 | 8 | 15.890 | 6776.0 |
341 | 2024-12-24 14:44:32 | agilely | 1 | 69583 | 1 | 5.623 | 12374.7 |
340 | 2024-12-02 20:42:42 | agilely | 1 | 69583 | 1 | 3.876 | 17952.3 |
339 | 2024-11-25 09:09:10 | agilely | 3 | 134027 | 124 | 14.673 | 9134.3 |
338 | 2024-11-25 08:41:45 | agilely | 3 | 134027 | 124 | 37.266 | 3596.5 |
337 | 2024-11-20 19:04:35 | agilely | 3 | 134027 | 124 | 14.750 | 9086.6 |
336 | 2024-11-20 19:04:25 | agilely | 2 | 107671 | 8 | 7.080 | 15207.8 |
335 | 2024-11-13 22:13:16 | agilely | 1 | 69583 | 1 | 6.000 | 11597.2 |
334 | 2024-11-10 23:30:16 | agilely | 2 | 107671 | 8 | 18.550 | 5804.4 |
333 | 2024-11-10 13:39:38 | agilely | 1 | 69583 | 1 | 1.160 | 59985.3 |
332 | 2024-10-23 11:27:38 | agilely | 1 | 69583 | 1 | 5.610 | 12403.4 |
331 | 2024-10-11 04:17:37 | agilely | 1 | 69583 | 1 | 6.906 | 10075.7 |
330 | 2024-09-10 17:10:29 | agilely | 1 | 69583 | 1 | 14.000 | 4970.2 |
329 | 2024-09-03 02:45:22 | agilely | 1 | 69583 | 1 | 4.220 | 16488.9 |
328 | 2024-08-24 03:45:57 | agilely | 1 | 69583 | 1 | 6.733 | 10334.6 |
327 | 2024-08-16 20:57:13 | agilely | 3 | 134027 | 124 | 49.346 | 2716.1 |
326 | 2024-08-13 12:18:07 | agilely | 1 | 69583 | 1 | 12.266 | 5672.8 |
325 | 2024-08-13 11:37:08 | agilely | 1 | 69583 | 1 | 5.203 | 13373.6 |
324 | 2024-08-09 19:22:00 | agilely | 1 | 69583 | 1 | 2.193 | 31729.6 |
323 | 2024-07-30 15:09:53 | agilely | 1 | 69583 | 1 | 4.203 | 16555.6 |
322 | 2024-07-29 17:09:02 | agilely | 1 | 69583 | 1 | 1.206 | 57697.3 |
321 | 2024-07-28 23:22:23 | agilely | 1 | 69583 | 1 | 2.250 | 30925.8 |
320 | 2024-07-12 17:57:59 | agilely | 1 | 69583 | 1 | 6.593 | 10554.1 |
319 | 2024-07-11 00:47:52 | agilely | 1 | 69583 | 1 | 4.220 | 16488.9 |
318 | 2024-06-25 20:22:27 | agilely | 1 | 69583 | 1 | 5.703 | 12201.1 |
317 | 2024-06-25 15:36:19 | agilely | 1 | 69583 | 1 | 2.343 | 29698.3 |
316 | 2024-06-15 22:19:54 | agilely | 1 | 69583 | 1 | 4.656 | 14944.8 |
315 | 2024-06-06 10:33:26 | agilely | 2 | 107671 | 8 | 5.936 | 18138.6 |
314 | 2024-06-06 10:28:01 | agilely | 3 | 134027 | 124 | 7.203 | 18607.1 |
313 | 2024-06-04 11:28:49 | agilely | 3 | 134027 | 124 | 34.000 | 3942.0 |
312 | 2024-06-02 19:17:05 | agilely | 3 | 134027 | 124 | 24.390 | 5495.2 |
311 | 2024-06-02 14:55:16 | agilely | 3 | 134027 | 124 | 10.736 | 12483.9 |
310 | 2024-06-02 14:55:19 | agilely | 2 | 107671 | 8 | 3.436 | 31336.1 |
309 | 2024-06-02 14:55:14 | agilely | 1 | 69583 | 1 | 4.440 | 15671.8 |
308 | 2024-05-30 01:26:45 | agilely | 1 | 69583 | 1 | 11.670 | 5962.6 |
307 | 2024-05-21 19:35:57 | agilely | 1 | 69583 | 1 | 5.453 | 12760.5 |
306 | 2024-05-15 07:01:48 | agilely | 1 | 69583 | 1 | 1.406 | 49490.0 |
305 | 2024-05-06 21:20:39 | agilely | 2 | 107671 | 8 | 3.466 | 31064.9 |
304 | 2024-05-02 06:02:22 | agilely | 2 | 107671 | 8 | 3.813 | 28237.9 |
303 | 2024-04-29 00:59:13 | agilely | 2 | 107671 | 8 | 3.450 | 31209.0 |
302 | 2024-04-29 00:58:56 | agilely | 3 | 134027 | 124 | 9.703 | 13812.9 |
301 | 2024-04-28 06:34:17 | agilely | 3 | 134027 | 124 | 7.203 | 18607.1 |
300 | 2024-04-27 17:03:21 | agilely | 1 | 69583 | 1 | 1.780 | 39091.6 |
299 | 2024-04-20 23:33:55 | agilely | 2 | 107671 | 8 | 11.220 | 9596.3 |
298 | 2024-04-20 23:33:50 | agilely | 1 | 69583 | 1 | 3.016 | 23071.3 |
297 | 2024-04-01 09:31:26 | agilely | 2 | 107671 | 8 | 6.670 | 16142.6 |
296 | 2024-03-30 19:52:55 | agilely | 3 | 134027 | 124 | 18.970 | 7065.2 |
295 | 2024-03-30 07:33:42 | agilely | 3 | 134027 | 124 | 23.453 | 5714.7 |
294 | 2024-03-29 20:39:45 | agilely | 1 | 69583 | 1 | 1.513 | 45990.1 |
293 | 2024-03-29 13:44:17 | agilely | 2 | 107671 | 8 | 5.393 | 19965.0 |
292 | 2024-03-29 13:44:05 | agilely | 3 | 134027 | 124 | 7.923 | 16916.2 |
291 | 2024-03-29 01:41:41 | agilely | 1 | 69583 | 1 | 4.156 | 16742.8 |
290 | 2024-03-27 12:09:33 | agilely | 3 | 134027 | 124 | 9.080 | 14760.7 |
289 | 2024-03-25 07:58:56 | agilely | 3 | 134027 | 124 | 14.346 | 9342.5 |
288 | 2024-03-25 07:58:51 | agilely | 2 | 107671 | 8 | 3.576 | 30109.3 |
287 | 2024-03-18 13:34:39 | agilely | 1 | 69583 | 1 | 1.156 | 60192.9 |
286 | 2024-03-06 06:13:52 | agilely | 1 | 69583 | 1 | 3.030 | 22964.7 |
285 | 2024-02-27 17:09:14 | agilely | 1 | 69583 | 1 | 1.123 | 61961.7 |
284 | 2024-02-22 11:45:56 | agilely | 3 | 134027 | 124 | 13.453 | 9962.6 |
283 | 2024-02-21 13:06:32 | agilely | 3 | 134027 | 124 | 16.796 | 7979.7 |
282 | 2024-02-17 16:56:24 | agilely | 3 | 134027 | 124 | 7.203 | 18607.1 |
281 | 2024-02-17 16:56:22 | agilely | 2 | 107671 | 8 | 3.283 | 32796.5 |
280 | 2024-02-14 22:37:06 | agilely | 1 | 69583 | 1 | 1.606 | 43326.9 |
279 | 2024-01-07 22:10:04 | agilely | 1 | 69583 | 1 | 1.096 | 63488.1 |
278 | 2023-12-24 13:49:52 | agilely | 1 | 69583 | 1 | 1.170 | 59472.6 |
277 | 2023-12-21 09:49:06 | agilely | 1 | 69583 | 1 | 1.110 | 62687.4 |
276 | 2023-12-18 12:54:55 | agilely | 1 | 69583 | 1 | 1.050 | 66269.5 |
275 | 2023-12-09 03:45:40 | agilely | 1 | 69583 | 1 | 1.046 | 66522.9 |
274 | 2023-12-01 19:40:36 | agilely | 1 | 69583 | 1 | 1.216 | 57222.9 |
273 | 2023-11-22 05:53:41 | agilely | 1 | 69583 | 1 | 1.140 | 61037.7 |
272 | 2023-10-04 20:12:25 | agilely | 1 | 69583 | 1 | 1.126 | 61796.6 |
271 | 2023-08-22 00:06:30 | agilely | 1 | 69583 | 1 | 1.140 | 61037.7 |
270 | 2023-08-01 14:13:58 | agilely | 1 | 69583 | 1 | 1.060 | 65644.3 |
269 | 2023-05-11 16:55:49 | agilely | 1 | 69583 | 1 | 1.060 | 65644.3 |
268 | 2023-04-29 11:12:15 | agilely | 1 | 69583 | 1 | 1.080 | 64428.7 |
267 | 2023-02-20 18:05:50 | agilely | 1 | 69583 | 1 | 1.046 | 66522.9 |
266 | 2023-01-29 13:37:02 | agilely | 1 | 69583 | 1 | 1.060 | 65644.3 |
265 | 2022-12-20 03:58:49 | agilely | 1 | 69583 | 1 | 1.173 | 59320.5 |
264 | 2022-10-15 08:25:49 | agilely | 1 | 69583 | 1 | 1.060 | 65644.3 |
263 | 2022-09-02 16:06:15 | agilely | 1 | 69583 | 1 | 1.076 | 64668.2 |
262 | 2022-07-02 17:36:58 | agilely | 1 | 69583 | 1 | 1.093 | 63662.4 |
261 | 2022-04-18 00:54:01 | agilely | 1 | 69583 | 1 | 1.216 | 57222.9 |