History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"waggishness"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
318 | 2025-08-25 15:39:37 | waggishness | 3 | 121633 | 28 | 19.000 | 6401.7 |
317 | 2025-08-23 17:59:02 | waggishness | 4 | 148819 | 118 | 8.546 | 17413.9 |
316 | 2025-08-23 17:58:54 | waggishness | 4 | 148819 | 118 | 7.673 | 19395.2 |
315 | 2025-08-20 16:06:06 | waggishness | 2 | 86808 | 6 | 2.236 | 38822.9 |
314 | 2025-08-19 19:11:12 | waggishness | 2 | 86808 | 6 | 8.250 | 10522.2 |
313 | 2025-08-19 19:11:09 | waggishness | 2 | 86808 | 6 | 8.670 | 10012.5 |
312 | 2025-08-18 17:27:16 | waggishness | 2 | 86808 | 6 | 2.000 | 43404.0 |
311 | 2025-08-18 17:26:58 | waggishness | 2 | 86808 | 6 | 2.216 | 39173.3 |
310 | 2025-08-18 08:12:57 | waggishness | 3 | 121633 | 28 | 4.593 | 26482.3 |
309 | 2025-08-18 08:12:51 | waggishness | 3 | 121633 | 28 | 4.780 | 25446.2 |
308 | 2025-08-18 07:25:01 | waggishness | 1 | 49908 | 1 | 0.733 | 68087.3 |
307 | 2025-08-15 14:29:36 | waggishness | 4 | 148819 | 118 | 30.426 | 4891.2 |
306 | 2025-08-15 02:01:45 | waggishness | 2 | 86808 | 6 | 11.190 | 7757.6 |
305 | 2025-08-14 06:30:48 | waggishness | 1 | 49908 | 1 | 0.826 | 60421.3 |
304 | 2025-08-13 01:15:39 | waggishness | 1 | 49908 | 1 | 4.263 | 11707.2 |
303 | 2025-08-11 14:08:07 | waggishness | 4 | 148819 | 118 | 23.373 | 6367.1 |
302 | 2025-08-11 02:22:25 | waggishness | 2 | 86808 | 6 | 5.170 | 16790.7 |
301 | 2025-08-10 21:50:06 | waggishness | 3 | 121633 | 28 | 11.766 | 10337.7 |
300 | 2025-08-09 18:28:47 | waggishness | 1 | 49908 | 1 | 1.920 | 25993.8 |
299 | 2025-08-09 03:56:20 | waggishness | 1 | 49908 | 1 | 2.423 | 20597.6 |
298 | 2025-08-06 21:00:13 | waggishness | 1 | 49908 | 1 | 1.720 | 29016.3 |
297 | 2025-07-24 05:19:50 | waggishness | 1 | 49908 | 1 | 3.140 | 15894.3 |
296 | 2025-07-23 15:28:01 | waggishness | 1 | 49908 | 1 | 2.170 | 22999.1 |
295 | 2025-07-18 15:01:43 | waggishness | 1 | 49908 | 1 | 5.873 | 8497.9 |
294 | 2025-07-17 04:54:46 | waggishness | 1 | 49908 | 1 | 2.110 | 23653.1 |
293 | 2025-07-14 08:06:40 | waggishness | 1 | 49908 | 1 | 4.030 | 12384.1 |
292 | 2025-07-09 20:39:49 | waggishness | 1 | 49908 | 1 | 4.263 | 11707.2 |
291 | 2025-06-30 02:14:55 | waggishness | 1 | 49908 | 1 | 2.406 | 20743.1 |
290 | 2025-06-22 01:22:14 | waggishness | 1 | 49908 | 1 | 4.970 | 10041.9 |
289 | 2025-06-20 01:10:54 | waggishness | 1 | 49908 | 1 | 5.890 | 8473.3 |
288 | 2025-06-19 00:40:32 | waggishness | 2 | 86808 | 6 | 8.970 | 9677.6 |
287 | 2025-06-18 19:29:55 | waggishness | 2 | 86808 | 6 | 2.156 | 40263.5 |
286 | 2025-06-17 19:27:02 | waggishness | 3 | 121633 | 28 | 4.953 | 24557.4 |
285 | 2025-06-14 17:14:21 | waggishness | 4 | 148819 | 118 | 49.363 | 3014.8 |
284 | 2025-06-14 06:56:42 | waggishness | 3 | 121633 | 28 | 26.910 | 4520.0 |
283 | 2025-06-11 00:25:28 | waggishness | 3 | 121633 | 28 | 21.000 | 5792.0 |
282 | 2025-06-10 21:56:49 | waggishness | 2 | 86808 | 6 | 4.953 | 17526.3 |
281 | 2025-06-10 07:24:00 | waggishness | 1 | 49908 | 1 | 4.250 | 11743.1 |
280 | 2025-06-09 07:34:08 | waggishness | 4 | 148819 | 118 | 7.686 | 19362.3 |
279 | 2025-06-05 13:31:53 | waggishness | 4 | 148819 | 118 | 23.483 | 6337.3 |
278 | 2025-06-04 21:35:11 | waggishness | 4 | 148819 | 118 | 47.266 | 3148.5 |
277 | 2025-06-03 04:52:09 | waggishness | 4 | 148819 | 118 | 8.923 | 16678.1 |
276 | 2025-06-02 19:52:50 | waggishness | 3 | 121633 | 28 | 4.483 | 27132.1 |
275 | 2025-06-02 19:29:59 | waggishness | 2 | 86808 | 6 | 1.983 | 43776.1 |
274 | 2025-05-29 11:07:53 | waggishness | 1 | 49908 | 1 | 6.123 | 8150.9 |
273 | 2025-05-26 03:12:09 | waggishness | 1 | 49908 | 1 | 5.843 | 8541.5 |
272 | 2025-05-20 01:49:13 | waggishness | 1 | 49908 | 1 | 2.203 | 22654.6 |
271 | 2025-05-14 05:16:40 | waggishness | 1 | 49908 | 1 | 3.890 | 12829.8 |
270 | 2025-05-09 06:34:37 | waggishness | 1 | 49908 | 1 | 0.763 | 65410.2 |
269 | 2025-05-08 14:56:08 | waggishness | 1 | 49908 | 1 | 2.703 | 18463.9 |
268 | 2025-05-05 19:36:01 | waggishness | 3 | 121633 | 28 | 19.690 | 6177.4 |
267 | 2025-05-04 22:14:52 | waggishness | 3 | 121633 | 28 | 24.310 | 5003.4 |
266 | 2025-05-03 11:35:55 | waggishness | 2 | 86808 | 6 | 2.296 | 37808.4 |
265 | 2025-04-28 12:46:22 | waggishness | 2 | 86808 | 6 | 7.953 | 10915.1 |
264 | 2025-04-26 02:02:38 | waggishness | 4 | 148819 | 118 | 40.173 | 3704.5 |
263 | 2025-04-25 20:19:28 | waggishness | 1 | 49908 | 1 | 4.063 | 12283.5 |
262 | 2025-04-25 07:04:13 | waggishness | 4 | 148819 | 118 | 49.956 | 2979.0 |
261 | 2025-04-24 02:30:10 | waggishness | 2 | 86808 | 6 | 10.173 | 8533.2 |
260 | 2025-04-22 19:46:04 | waggishness | 4 | 148819 | 118 | 8.653 | 17198.5 |
259 | 2025-04-21 20:23:51 | waggishness | 4 | 148819 | 118 | 53.113 | 2801.9 |
258 | 2025-04-18 19:55:19 | waggishness | 1 | 49908 | 1 | 4.500 | 11090.7 |
257 | 2025-04-15 02:22:05 | waggishness | 4 | 148819 | 118 | 20.110 | 7400.2 |
256 | 2025-04-02 05:14:24 | waggishness | 1 | 49908 | 1 | 5.766 | 8655.6 |
255 | 2025-03-31 09:16:42 | waggishness | 1 | 49908 | 1 | 3.906 | 12777.3 |
254 | 2025-03-21 17:23:07 | waggishness | 1 | 49908 | 1 | 4.313 | 11571.5 |
253 | 2025-03-20 01:52:39 | waggishness | 1 | 49908 | 1 | 1.783 | 27991.0 |
252 | 2025-03-19 21:05:19 | waggishness | 1 | 49908 | 1 | 2.236 | 22320.2 |
251 | 2025-03-17 21:02:32 | waggishness | 1 | 49908 | 1 | 5.670 | 8802.1 |
250 | 2025-02-19 21:10:07 | waggishness | 1 | 49908 | 1 | 3.610 | 13824.9 |
249 | 2025-02-18 15:24:47 | waggishness | 1 | 49908 | 1 | 2.190 | 22789.0 |
248 | 2025-02-13 16:48:39 | waggishness | 1 | 49908 | 1 | 4.170 | 11968.3 |
247 | 2025-01-30 07:42:08 | waggishness | 1 | 49908 | 1 | 4.076 | 12244.4 |
246 | 2025-01-16 08:00:11 | waggishness | 2 | 86808 | 6 | 11.250 | 7716.3 |
245 | 2025-01-16 07:54:19 | waggishness | 3 | 121633 | 28 | 24.720 | 4920.4 |
244 | 2025-01-14 13:48:05 | waggishness | 3 | 121633 | 28 | 22.093 | 5505.5 |
243 | 2025-01-14 13:48:10 | waggishness | 2 | 86808 | 6 | 5.983 | 14509.1 |
242 | 2025-01-14 13:47:22 | waggishness | 1 | 49908 | 1 | 3.876 | 12876.2 |
241 | 2025-01-13 19:57:33 | waggishness | 4 | 148819 | 118 | 45.813 | 3248.4 |
240 | 2025-01-13 13:22:44 | waggishness | 1 | 49908 | 1 | 3.750 | 13308.8 |
239 | 2025-01-13 13:19:57 | waggishness | 3 | 121633 | 28 | 28.580 | 4255.9 |
238 | 2025-01-13 01:19:48 | waggishness | 3 | 121633 | 28 | 43.830 | 2775.1 |
237 | 2025-01-12 22:50:17 | waggishness | 2 | 86808 | 6 | 10.970 | 7913.2 |
236 | 2025-01-11 19:15:35 | waggishness | 3 | 121633 | 28 | 32.080 | 3791.6 |
235 | 2025-01-11 11:37:53 | waggishness | 4 | 148819 | 118 | 57.563 | 2585.3 |
234 | 2025-01-11 11:37:23 | waggishness | 3 | 121633 | 28 | 26.626 | 4568.2 |
233 | 2025-01-11 11:37:06 | waggishness | 2 | 86808 | 6 | 11.466 | 7570.9 |
232 | 2025-01-11 11:36:12 | waggishness | 1 | 49908 | 1 | 6.030 | 8276.6 |
231 | 2024-12-14 13:02:22 | waggishness | 4 | 148819 | 118 | 39.083 | 3807.8 |
230 | 2024-12-13 08:01:00 | waggishness | 3 | 121633 | 28 | 19.923 | 6105.2 |
229 | 2024-12-13 08:01:01 | waggishness | 2 | 86808 | 6 | 11.110 | 7813.5 |
228 | 2024-12-13 08:00:41 | waggishness | 1 | 49908 | 1 | 2.123 | 23508.2 |
227 | 2024-12-13 07:12:30 | waggishness | 3 | 121633 | 28 | 22.516 | 5402.1 |
226 | 2024-12-12 17:52:03 | waggishness | 4 | 148819 | 118 | 61.656 | 2413.7 |
225 | 2024-12-12 17:52:09 | waggishness | 3 | 121633 | 28 | 29.266 | 4156.1 |
224 | 2024-12-12 17:52:10 | waggishness | 2 | 86808 | 6 | 11.450 | 7581.5 |
223 | 2024-12-12 17:48:40 | waggishness | 1 | 49908 | 1 | 5.453 | 9152.4 |
222 | 2024-12-12 01:47:10 | waggishness | 3 | 121633 | 28 | 19.893 | 6114.4 |
221 | 2024-12-12 01:47:10 | waggishness | 2 | 86808 | 6 | 16.970 | 5115.4 |
220 | 2024-12-11 16:41:39 | waggishness | 3 | 121633 | 28 | 22.843 | 5324.7 |
219 | 2024-12-11 16:41:40 | waggishness | 2 | 86808 | 6 | 11.253 | 7714.2 |