History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"proneness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
357 | 2025-09-10 21:48:47 | proneness | 1 | 81242 | 1 | 1.436 | 56575.2 |
356 | 2025-09-02 11:49:08 | proneness | 1 | 81242 | 1 | 1.310 | 62016.8 |
355 | 2025-08-25 15:58:32 | proneness | 1 | 81242 | 1 | 3.593 | 22611.2 |
354 | 2025-08-19 09:22:32 | proneness | 1 | 81242 | 1 | 6.406 | 12682.2 |
353 | 2025-08-19 05:09:13 | proneness | 1 | 81242 | 1 | 4.936 | 16459.1 |
352 | 2025-08-12 07:48:39 | proneness | 1 | 81242 | 1 | 6.000 | 13540.3 |
351 | 2025-08-09 04:36:40 | proneness | 1 | 81242 | 1 | 8.360 | 9717.9 |
350 | 2025-08-07 08:36:55 | proneness | 2 | 121436 | 17 | 10.593 | 11463.8 |
349 | 2025-08-04 06:42:00 | proneness | 1 | 81242 | 1 | 10.393 | 7817.0 |
348 | 2025-08-01 00:48:00 | proneness | 1 | 81242 | 1 | 6.800 | 11947.4 |
347 | 2025-07-30 16:40:03 | proneness | 2 | 121436 | 17 | 18.596 | 6530.2 |
346 | 2025-07-28 17:20:00 | proneness | 1 | 81242 | 1 | 8.686 | 9353.2 |
345 | 2025-07-25 20:04:21 | proneness | 2 | 121436 | 17 | 4.046 | 30013.8 |
344 | 2025-07-24 11:37:57 | proneness | 2 | 121436 | 17 | 8.953 | 13563.7 |
343 | 2025-07-18 10:07:15 | proneness | 1 | 81242 | 1 | 3.656 | 22221.6 |
342 | 2025-07-18 09:50:22 | proneness | 1 | 81242 | 1 | 4.470 | 18174.9 |
341 | 2025-07-16 23:48:42 | proneness | 1 | 81242 | 1 | 3.140 | 25873.2 |
340 | 2025-07-16 01:13:09 | proneness | 2 | 121436 | 17 | 3.890 | 31217.5 |
339 | 2025-07-13 14:51:29 | proneness | 1 | 81242 | 1 | 1.470 | 55266.7 |
338 | 2025-07-12 10:09:12 | proneness | 3 | 148641 | 139 | 11.873 | 12519.2 |
337 | 2025-07-11 11:47:10 | proneness | 3 | 148641 | 139 | 40.050 | 3711.4 |
336 | 2025-07-10 17:05:11 | proneness | 3 | 148641 | 139 | 36.563 | 4065.3 |
335 | 2025-07-10 12:14:13 | proneness | 1 | 81242 | 1 | 6.986 | 11629.3 |
334 | 2025-07-07 21:04:16 | proneness | 3 | 148641 | 139 | 46.740 | 3180.2 |
333 | 2025-07-07 04:18:22 | proneness | 1 | 81242 | 1 | 3.470 | 23412.7 |
332 | 2025-07-04 02:26:00 | proneness | 1 | 81242 | 1 | 8.530 | 9524.3 |
331 | 2025-07-03 16:37:17 | proneness | 3 | 148641 | 139 | 7.420 | 20032.5 |
330 | 2025-07-03 05:44:15 | proneness | 1 | 81242 | 1 | 5.390 | 15072.7 |
329 | 2025-06-27 19:51:28 | proneness | 1 | 81242 | 1 | 1.563 | 51978.2 |
328 | 2025-06-22 17:00:40 | proneness | 1 | 81242 | 1 | 6.953 | 11684.5 |
327 | 2025-06-22 03:07:42 | proneness | 1 | 81242 | 1 | 3.673 | 22118.7 |
326 | 2025-06-16 15:27:08 | proneness | 1 | 81242 | 1 | 6.436 | 12623.1 |
325 | 2025-06-15 21:29:37 | proneness | 1 | 81242 | 1 | 4.390 | 18506.2 |
324 | 2025-06-13 05:03:09 | proneness | 3 | 148641 | 139 | 20.643 | 7200.6 |
323 | 2025-06-12 20:19:18 | proneness | 3 | 148641 | 139 | 31.720 | 4686.0 |
322 | 2025-06-11 02:07:32 | proneness | 3 | 148641 | 139 | 31.956 | 4651.4 |
321 | 2025-06-10 22:42:05 | proneness | 1 | 81242 | 1 | 1.250 | 64993.6 |
320 | 2025-06-10 18:23:06 | proneness | 1 | 81242 | 1 | 6.780 | 11982.6 |
319 | 2025-06-10 14:43:30 | proneness | 3 | 148641 | 139 | 35.376 | 4201.7 |
318 | 2025-06-10 08:39:39 | proneness | 3 | 148641 | 139 | 23.953 | 6205.5 |
317 | 2025-06-08 21:03:47 | proneness | 2 | 121436 | 17 | 3.920 | 30978.6 |
316 | 2025-06-08 19:05:11 | proneness | 2 | 121436 | 17 | 17.906 | 6781.9 |
315 | 2025-06-08 06:43:54 | proneness | 1 | 81242 | 1 | 6.826 | 11901.8 |
314 | 2025-06-07 21:00:38 | proneness | 3 | 148641 | 139 | 28.796 | 5161.9 |
313 | 2025-06-06 16:08:33 | proneness | 1 | 81242 | 1 | 6.703 | 12120.2 |
312 | 2025-06-05 13:27:05 | proneness | 2 | 121436 | 17 | 9.046 | 13424.3 |
311 | 2025-06-03 16:14:22 | proneness | 3 | 148641 | 139 | 31.733 | 4684.1 |
310 | 2025-06-03 04:53:52 | proneness | 2 | 121436 | 17 | 17.546 | 6921.0 |
309 | 2025-06-02 14:41:48 | proneness | 1 | 81242 | 1 | 6.093 | 13333.7 |
308 | 2025-06-01 21:28:00 | proneness | 2 | 121436 | 17 | 24.126 | 5033.4 |
307 | 2025-05-28 05:37:39 | proneness | 1 | 81242 | 1 | 1.406 | 57782.4 |
306 | 2025-05-26 05:42:59 | proneness | 1 | 81242 | 1 | 7.170 | 11330.8 |
305 | 2025-05-19 05:57:03 | proneness | 3 | 148641 | 139 | 18.690 | 7953.0 |
304 | 2025-05-19 04:58:04 | proneness | 1 | 81242 | 1 | 3.923 | 20709.2 |
303 | 2025-05-18 17:34:01 | proneness | 1 | 81242 | 1 | 10.313 | 7877.6 |
302 | 2025-05-17 05:54:42 | proneness | 3 | 148641 | 139 | 20.126 | 7385.5 |
301 | 2025-05-14 18:53:51 | proneness | 1 | 81242 | 1 | 1.250 | 64993.6 |
300 | 2025-05-10 23:32:57 | proneness | 3 | 148641 | 139 | 36.313 | 4093.3 |
299 | 2025-05-10 09:13:39 | proneness | 3 | 148641 | 139 | 23.360 | 6363.1 |
298 | 2025-05-06 05:52:07 | proneness | 3 | 148641 | 139 | 19.580 | 7591.5 |
297 | 2025-05-06 04:55:23 | proneness | 2 | 121436 | 17 | 14.393 | 8437.2 |
296 | 2025-05-05 20:43:56 | proneness | 3 | 148641 | 139 | 33.046 | 4498.0 |
295 | 2025-05-05 10:01:00 | proneness | 2 | 121436 | 17 | 18.703 | 6492.9 |
294 | 2025-05-05 05:17:00 | proneness | 1 | 81242 | 1 | 1.783 | 45564.8 |
293 | 2025-05-04 20:32:48 | proneness | 3 | 148641 | 139 | 7.220 | 20587.4 |
292 | 2025-05-04 17:53:37 | proneness | 3 | 148641 | 139 | 46.236 | 3214.8 |
291 | 2025-05-01 04:18:24 | proneness | 1 | 81242 | 1 | 7.373 | 11018.9 |
290 | 2025-04-28 07:17:45 | proneness | 1 | 81242 | 1 | 7.033 | 11551.5 |
289 | 2025-04-18 17:49:13 | proneness | 1 | 81242 | 1 | 6.716 | 12096.8 |
288 | 2025-04-13 21:20:25 | proneness | 2 | 121436 | 17 | 19.063 | 6370.2 |
287 | 2025-04-12 07:11:33 | proneness | 2 | 121436 | 17 | 9.250 | 13128.2 |
286 | 2025-04-09 21:09:16 | proneness | 3 | 148641 | 139 | 8.640 | 17203.8 |
285 | 2025-04-07 04:45:50 | proneness | 3 | 148641 | 139 | 35.330 | 4207.2 |
284 | 2025-04-02 09:02:59 | proneness | 1 | 81242 | 1 | 7.233 | 11232.1 |
283 | 2025-03-25 19:52:35 | proneness | 1 | 81242 | 1 | 10.030 | 8099.9 |
282 | 2025-03-24 05:16:36 | proneness | 1 | 81242 | 1 | 6.640 | 12235.2 |
281 | 2025-03-20 21:41:12 | proneness | 3 | 148641 | 139 | 44.093 | 3371.1 |
280 | 2025-03-20 07:11:37 | proneness | 1 | 81242 | 1 | 3.533 | 22995.2 |
279 | 2025-03-19 21:45:37 | proneness | 3 | 148641 | 139 | 31.423 | 4730.3 |
278 | 2025-03-16 21:21:10 | proneness | 1 | 81242 | 1 | 5.986 | 13572.0 |
277 | 2025-03-16 11:17:58 | proneness | 3 | 148641 | 139 | 39.576 | 3755.8 |
276 | 2025-03-16 09:58:34 | proneness | 3 | 148641 | 139 | 39.456 | 3767.3 |
275 | 2025-03-16 09:58:28 | proneness | 2 | 121436 | 17 | 12.016 | 10106.2 |
274 | 2025-03-16 09:54:31 | proneness | 1 | 81242 | 1 | 6.080 | 13362.2 |
273 | 2025-03-02 10:32:49 | proneness | 1 | 81242 | 1 | 4.780 | 16996.2 |
272 | 2025-03-01 11:03:02 | proneness | 1 | 81242 | 1 | 10.126 | 8023.1 |
271 | 2025-02-28 20:46:32 | proneness | 1 | 81242 | 1 | 6.860 | 11842.9 |
270 | 2025-01-25 13:41:25 | proneness | 1 | 81242 | 1 | 7.376 | 11014.4 |
269 | 2025-01-05 21:38:45 | proneness | 1 | 81242 | 1 | 9.736 | 8344.5 |
268 | 2025-01-01 20:45:05 | proneness | 1 | 81242 | 1 | 1.470 | 55266.7 |
267 | 2024-12-26 07:31:14 | proneness | 1 | 81242 | 1 | 3.030 | 26812.5 |
266 | 2024-12-13 14:22:25 | proneness | 1 | 81242 | 1 | 3.670 | 22136.8 |
265 | 2024-12-06 16:04:53 | proneness | 1 | 81242 | 1 | 5.013 | 16206.3 |
264 | 2024-11-22 23:46:58 | proneness | 2 | 121436 | 17 | 24.033 | 5052.9 |
263 | 2024-11-19 19:48:17 | proneness | 1 | 81242 | 1 | 6.060 | 13406.3 |
262 | 2024-11-13 06:57:13 | proneness | 1 | 81242 | 1 | 3.623 | 22424.0 |
261 | 2024-11-11 21:47:29 | proneness | 2 | 121436 | 17 | 21.423 | 5668.5 |
260 | 2024-11-11 11:21:38 | proneness | 1 | 81242 | 1 | 1.250 | 64993.6 |
259 | 2024-11-05 07:49:24 | proneness | 2 | 121436 | 17 | 10.686 | 11364.0 |
258 | 2024-11-05 06:12:05 | proneness | 1 | 81242 | 1 | 6.236 | 13027.9 |