History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"peakedness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
353 | 2025-09-13 09:40:18 | peakedness | 4 | 161450 | 243 | 10.610 | 15216.8 |
352 | 2025-09-11 00:59:31 | peakedness | 3 | 140603 | 35 | 6.343 | 22166.6 |
351 | 2025-09-10 19:06:58 | peakedness | 2 | 108824 | 3 | 4.703 | 23139.3 |
350 | 2025-08-25 19:31:29 | peakedness | 3 | 140603 | 35 | 5.890 | 23871.5 |
349 | 2025-08-25 19:27:40 | peakedness | 2 | 108824 | 3 | 3.360 | 32388.1 |
348 | 2025-08-23 22:39:56 | peakedness | 1 | 67641 | 1 | 4.390 | 15408.0 |
347 | 2025-08-23 04:44:30 | peakedness | 1 | 67641 | 1 | 2.483 | 27241.6 |
346 | 2025-08-15 05:15:27 | peakedness | 1 | 67641 | 1 | 2.360 | 28661.4 |
345 | 2025-08-11 09:23:16 | peakedness | 1 | 67641 | 1 | 5.436 | 12443.2 |
344 | 2025-08-10 18:23:29 | peakedness | 2 | 108824 | 3 | 7.673 | 14182.7 |
343 | 2025-08-09 18:46:15 | peakedness | 1 | 67641 | 1 | 4.140 | 16338.4 |
342 | 2025-08-09 08:57:45 | peakedness | 1 | 67641 | 1 | 4.423 | 15293.0 |
341 | 2025-08-09 03:54:37 | peakedness | 1 | 67641 | 1 | 5.483 | 12336.5 |
340 | 2025-08-07 10:33:08 | peakedness | 4 | 161450 | 243 | 40.126 | 4023.6 |
339 | 2025-08-07 10:32:46 | peakedness | 4 | 161450 | 243 | 40.520 | 3984.5 |
338 | 2025-08-04 05:21:23 | peakedness | 1 | 67641 | 1 | 2.593 | 26086.0 |
337 | 2025-08-02 19:21:00 | peakedness | 1 | 67641 | 1 | 2.360 | 28661.4 |
336 | 2025-07-30 21:00:02 | peakedness | 4 | 161450 | 243 | 60.363 | 2674.7 |
335 | 2025-07-30 01:27:59 | peakedness | 4 | 161450 | 243 | 28.516 | 5661.7 |
334 | 2025-07-26 19:48:47 | peakedness | 4 | 161450 | 243 | 47.520 | 3397.5 |
333 | 2025-07-24 09:59:16 | peakedness | 1 | 67641 | 1 | 2.750 | 24596.7 |
332 | 2025-07-20 10:21:39 | peakedness | 4 | 161450 | 243 | 23.890 | 6758.1 |
331 | 2025-07-19 11:54:44 | peakedness | 1 | 67641 | 1 | 1.216 | 55625.8 |
330 | 2025-07-16 14:05:17 | peakedness | 3 | 140603 | 35 | 6.440 | 21832.8 |
329 | 2025-07-16 13:03:31 | peakedness | 2 | 108824 | 3 | 16.873 | 6449.6 |
328 | 2025-07-14 16:25:11 | peakedness | 1 | 67641 | 1 | 8.396 | 8056.3 |
327 | 2025-07-13 06:41:37 | peakedness | 1 | 67641 | 1 | 1.216 | 55625.8 |
326 | 2025-07-08 00:26:50 | peakedness | 1 | 67641 | 1 | 5.436 | 12443.2 |
325 | 2025-07-04 20:17:45 | peakedness | 2 | 108824 | 3 | 16.440 | 6619.5 |
324 | 2025-07-04 05:24:55 | peakedness | 1 | 67641 | 1 | 6.423 | 10531.1 |
323 | 2025-06-18 08:03:29 | peakedness | 1 | 67641 | 1 | 5.170 | 13083.4 |
322 | 2025-06-10 15:23:15 | peakedness | 1 | 67641 | 1 | 5.563 | 12159.1 |
321 | 2025-06-10 06:04:43 | peakedness | 1 | 67641 | 1 | 8.673 | 7799.0 |
320 | 2025-06-10 03:41:57 | peakedness | 1 | 67641 | 1 | 5.790 | 11682.4 |
319 | 2025-06-03 23:13:01 | peakedness | 1 | 67641 | 1 | 5.203 | 13000.4 |
318 | 2025-05-20 00:40:10 | peakedness | 1 | 67641 | 1 | 8.423 | 8030.5 |
317 | 2025-05-17 21:38:47 | peakedness | 3 | 140603 | 35 | 25.736 | 5463.3 |
316 | 2025-05-15 04:59:23 | peakedness | 3 | 140603 | 35 | 31.470 | 4467.8 |
315 | 2025-05-12 16:28:36 | peakedness | 3 | 140603 | 35 | 32.720 | 4297.2 |
314 | 2025-05-10 14:18:12 | peakedness | 3 | 140603 | 35 | 31.520 | 4460.8 |
313 | 2025-05-08 15:13:19 | peakedness | 1 | 67641 | 1 | 3.766 | 17961.0 |
312 | 2025-05-07 01:57:36 | peakedness | 4 | 161450 | 243 | 11.220 | 14389.5 |
311 | 2025-05-06 04:57:09 | peakedness | 4 | 161450 | 243 | 65.113 | 2479.5 |
310 | 2025-05-05 13:36:59 | peakedness | 2 | 108824 | 3 | 3.390 | 32101.5 |
309 | 2025-05-05 11:09:42 | peakedness | 4 | 161450 | 243 | 11.906 | 13560.4 |
308 | 2025-05-05 11:08:51 | peakedness | 3 | 140603 | 35 | 13.626 | 10318.7 |
307 | 2025-05-05 07:53:17 | peakedness | 1 | 67641 | 1 | 2.936 | 23038.5 |
306 | 2025-05-05 04:04:04 | peakedness | 3 | 140603 | 35 | 32.440 | 4334.2 |
305 | 2025-05-04 03:14:19 | peakedness | 1 | 67641 | 1 | 2.813 | 24045.9 |
304 | 2025-05-02 07:53:17 | peakedness | 4 | 161450 | 243 | 63.516 | 2541.9 |
303 | 2025-04-30 22:49:30 | peakedness | 1 | 67641 | 1 | 5.690 | 11887.7 |
302 | 2025-04-30 05:02:52 | peakedness | 1 | 67641 | 1 | 3.153 | 21452.9 |
301 | 2025-04-27 17:24:08 | peakedness | 4 | 161450 | 243 | 10.453 | 15445.3 |
300 | 2025-04-10 01:19:47 | peakedness | 3 | 140603 | 35 | 5.876 | 23928.4 |
299 | 2025-04-09 21:52:25 | peakedness | 3 | 140603 | 35 | 41.503 | 3387.8 |
298 | 2025-04-05 19:59:20 | peakedness | 2 | 108824 | 3 | 8.436 | 12900.0 |
297 | 2025-04-05 14:06:59 | peakedness | 3 | 140603 | 35 | 5.873 | 23940.6 |
296 | 2025-04-05 12:12:30 | peakedness | 2 | 108824 | 3 | 15.860 | 6861.5 |
295 | 2025-04-04 08:10:25 | peakedness | 1 | 67641 | 1 | 7.593 | 8908.3 |
294 | 2025-04-02 22:45:25 | peakedness | 4 | 161450 | 243 | 11.550 | 13978.4 |
293 | 2025-04-02 20:51:43 | peakedness | 4 | 161450 | 243 | 66.020 | 2445.5 |
292 | 2025-03-30 00:33:22 | peakedness | 4 | 161450 | 243 | 30.146 | 5355.6 |
291 | 2025-03-26 13:37:38 | peakedness | 4 | 161450 | 243 | 31.516 | 5122.8 |
290 | 2025-03-22 03:03:51 | peakedness | 4 | 161450 | 243 | 12.453 | 12964.7 |
289 | 2025-03-20 06:34:38 | peakedness | 1 | 67641 | 1 | 5.466 | 12374.9 |
288 | 2025-03-17 19:17:26 | peakedness | 1 | 67641 | 1 | 5.126 | 13195.7 |
287 | 2025-03-14 22:27:46 | peakedness | 3 | 140603 | 35 | 27.313 | 5147.8 |
286 | 2025-03-12 00:32:59 | peakedness | 3 | 140603 | 35 | 31.846 | 4415.1 |
285 | 2025-03-09 19:41:15 | peakedness | 3 | 140603 | 35 | 32.643 | 4307.3 |
284 | 2025-03-09 16:52:57 | peakedness | 3 | 140603 | 35 | 41.440 | 3392.9 |
283 | 2025-03-09 11:30:50 | peakedness | 3 | 140603 | 35 | 16.783 | 8377.7 |
282 | 2025-03-02 21:48:13 | peakedness | 3 | 140603 | 35 | 11.500 | 12226.3 |
281 | 2025-03-01 23:58:15 | peakedness | 1 | 67641 | 1 | 4.686 | 14434.7 |
280 | 2025-02-22 23:08:02 | peakedness | 1 | 67641 | 1 | 3.283 | 20603.4 |
279 | 2025-02-21 12:13:56 | peakedness | 3 | 140603 | 35 | 20.193 | 6963.0 |
278 | 2025-02-05 04:03:46 | peakedness | 2 | 108824 | 3 | 11.890 | 9152.6 |
277 | 2025-02-03 20:47:47 | peakedness | 4 | 161450 | 243 | 47.813 | 3376.7 |
276 | 2025-02-03 19:40:10 | peakedness | 4 | 161450 | 243 | 47.520 | 3397.5 |
275 | 2025-02-03 13:24:10 | peakedness | 4 | 161450 | 243 | 83.846 | 1925.6 |
274 | 2025-02-03 13:24:10 | peakedness | 2 | 108824 | 3 | 12.640 | 8609.5 |
273 | 2025-02-03 13:18:18 | peakedness | 1 | 67641 | 1 | 2.703 | 25024.4 |
272 | 2025-01-24 18:49:30 | peakedness | 1 | 67641 | 1 | 1.313 | 51516.4 |
271 | 2025-01-21 13:17:10 | peakedness | 3 | 140603 | 35 | 16.826 | 8356.3 |
270 | 2025-01-20 02:10:37 | peakedness | 3 | 140603 | 35 | 36.643 | 3837.1 |
269 | 2025-01-20 02:10:43 | peakedness | 2 | 108824 | 3 | 19.876 | 5475.1 |
268 | 2025-01-20 02:07:12 | peakedness | 1 | 67641 | 1 | 5.186 | 13043.0 |
267 | 2025-01-19 03:16:26 | peakedness | 1 | 67641 | 1 | 5.610 | 12057.2 |
266 | 2024-12-24 13:33:53 | peakedness | 3 | 140603 | 35 | 32.313 | 4351.3 |
265 | 2024-12-20 13:20:13 | peakedness | 3 | 140603 | 35 | 35.096 | 4006.2 |
264 | 2024-12-17 01:19:47 | peakedness | 1 | 67641 | 1 | 6.003 | 11267.9 |
263 | 2024-12-16 13:44:13 | peakedness | 3 | 140603 | 35 | 28.160 | 4993.0 |
262 | 2024-12-16 13:44:15 | peakedness | 2 | 108824 | 3 | 20.906 | 5205.4 |
261 | 2024-12-16 13:42:31 | peakedness | 1 | 67641 | 1 | 1.890 | 35788.9 |
260 | 2024-12-07 13:18:06 | peakedness | 1 | 67641 | 1 | 3.486 | 19403.6 |
259 | 2024-11-30 04:45:19 | peakedness | 1 | 67641 | 1 | 5.860 | 11542.8 |
258 | 2024-11-14 16:09:47 | peakedness | 1 | 67641 | 1 | 5.823 | 11616.2 |
257 | 2024-11-13 10:20:01 | peakedness | 1 | 67641 | 1 | 2.876 | 23519.1 |
256 | 2024-11-04 21:29:11 | peakedness | 3 | 140603 | 35 | 36.766 | 3824.3 |
255 | 2024-11-03 06:42:48 | peakedness | 3 | 140603 | 35 | 33.583 | 4186.7 |
254 | 2024-10-31 22:10:20 | peakedness | 3 | 140603 | 35 | 36.266 | 3877.0 |