History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"scabbiest"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
318 | 2025-09-11 21:38:06 | scabbiest | 2 | 121436 | 24 | 3.546 | 34245.9 |
317 | 2025-09-11 10:54:29 | scabbiest | 3 | 148641 | 115 | 6.923 | 21470.6 |
316 | 2025-09-08 20:18:21 | scabbiest | 3 | 148641 | 115 | 6.673 | 22275.0 |
315 | 2025-08-26 18:08:23 | scabbiest | 3 | 148641 | 115 | 7.860 | 18911.1 |
314 | 2025-08-25 10:30:45 | scabbiest | 1 | 81242 | 2 | 6.843 | 11872.3 |
313 | 2025-08-25 08:22:10 | scabbiest | 1 | 81242 | 2 | 5.123 | 15858.3 |
312 | 2025-08-11 06:06:16 | scabbiest | 1 | 81242 | 2 | 2.343 | 34674.3 |
311 | 2025-08-09 16:26:51 | scabbiest | 3 | 148641 | 115 | 7.763 | 19147.4 |
310 | 2025-08-08 16:25:35 | scabbiest | 1 | 81242 | 2 | 1.360 | 59736.8 |
309 | 2025-08-08 14:55:36 | scabbiest | 3 | 148641 | 115 | 7.343 | 20242.5 |
308 | 2025-08-06 02:13:58 | scabbiest | 3 | 148641 | 115 | 32.126 | 4626.8 |
307 | 2025-08-03 23:46:04 | scabbiest | 3 | 148641 | 115 | 30.503 | 4873.0 |
306 | 2025-07-29 00:42:48 | scabbiest | 1 | 81242 | 2 | 7.626 | 10653.3 |
305 | 2025-07-27 22:19:52 | scabbiest | 3 | 148641 | 115 | 17.813 | 8344.5 |
304 | 2025-07-27 04:39:22 | scabbiest | 1 | 81242 | 2 | 2.326 | 34927.8 |
303 | 2025-07-23 17:33:41 | scabbiest | 1 | 81242 | 2 | 6.156 | 13197.2 |
302 | 2025-07-20 09:05:01 | scabbiest | 3 | 148641 | 115 | 7.983 | 18619.7 |
301 | 2025-07-19 22:45:11 | scabbiest | 3 | 148641 | 115 | 6.983 | 21286.1 |
300 | 2025-07-18 07:33:28 | scabbiest | 3 | 148641 | 115 | 17.516 | 8486.0 |
299 | 2025-07-17 19:42:58 | scabbiest | 3 | 148641 | 115 | 26.343 | 5642.5 |
298 | 2025-07-16 13:17:21 | scabbiest | 3 | 148641 | 115 | 32.923 | 4514.8 |
297 | 2025-07-16 09:48:51 | scabbiest | 1 | 81242 | 2 | 1.596 | 50903.5 |
296 | 2025-07-14 17:20:59 | scabbiest | 2 | 121436 | 24 | 13.123 | 9253.7 |
295 | 2025-07-14 10:35:00 | scabbiest | 3 | 148641 | 115 | 43.676 | 3403.3 |
294 | 2025-07-13 19:56:26 | scabbiest | 3 | 148641 | 115 | 6.343 | 23433.9 |
293 | 2025-07-13 09:07:12 | scabbiest | 1 | 81242 | 2 | 1.420 | 57212.7 |
292 | 2025-07-13 05:33:01 | scabbiest | 3 | 148641 | 115 | 6.626 | 22433.0 |
291 | 2025-07-13 00:24:43 | scabbiest | 1 | 81242 | 2 | 1.516 | 53589.7 |
290 | 2025-07-11 08:28:38 | scabbiest | 2 | 121436 | 24 | 21.686 | 5599.7 |
289 | 2025-07-10 13:44:09 | scabbiest | 1 | 81242 | 2 | 3.593 | 22611.2 |
288 | 2025-07-09 23:16:00 | scabbiest | 2 | 121436 | 24 | 22.643 | 5363.1 |
287 | 2025-07-09 05:01:30 | scabbiest | 1 | 81242 | 2 | 7.390 | 10993.5 |
286 | 2025-07-08 00:10:30 | scabbiest | 1 | 81242 | 2 | 6.703 | 12120.2 |
285 | 2025-07-07 08:50:20 | scabbiest | 3 | 148641 | 115 | 37.690 | 3943.8 |
284 | 2025-07-07 03:57:31 | scabbiest | 1 | 81242 | 2 | 5.356 | 15168.4 |
283 | 2025-07-03 04:03:47 | scabbiest | 3 | 148641 | 115 | 27.110 | 5482.9 |
282 | 2025-07-01 13:39:43 | scabbiest | 1 | 81242 | 2 | 1.356 | 59913.0 |
281 | 2025-06-30 00:26:27 | scabbiest | 3 | 148641 | 115 | 55.223 | 2691.7 |
280 | 2025-06-25 01:32:29 | scabbiest | 3 | 148641 | 115 | 49.236 | 3018.9 |
279 | 2025-06-24 03:24:20 | scabbiest | 3 | 148641 | 115 | 54.033 | 2750.9 |
278 | 2025-06-23 23:31:21 | scabbiest | 1 | 81242 | 2 | 6.036 | 13459.6 |
277 | 2025-06-23 20:02:16 | scabbiest | 1 | 81242 | 2 | 3.576 | 22718.7 |
276 | 2025-06-23 01:19:18 | scabbiest | 3 | 148641 | 115 | 27.470 | 5411.0 |
275 | 2025-06-14 05:09:25 | scabbiest | 3 | 148641 | 115 | 40.033 | 3713.0 |
274 | 2025-06-13 18:58:15 | scabbiest | 3 | 148641 | 115 | 7.983 | 18619.7 |
273 | 2025-06-11 08:41:44 | scabbiest | 3 | 148641 | 115 | 29.673 | 5009.3 |
272 | 2025-06-10 13:06:47 | scabbiest | 1 | 81242 | 2 | 7.180 | 11315.0 |
271 | 2025-06-10 10:23:40 | scabbiest | 1 | 81242 | 2 | 6.516 | 12468.1 |
270 | 2025-06-08 00:22:08 | scabbiest | 1 | 81242 | 2 | 8.126 | 9997.8 |
269 | 2025-06-07 04:55:11 | scabbiest | 1 | 81242 | 2 | 4.500 | 18053.8 |
268 | 2025-05-31 16:20:21 | scabbiest | 1 | 81242 | 2 | 5.343 | 15205.3 |
267 | 2025-05-30 19:29:22 | scabbiest | 1 | 81242 | 2 | 6.623 | 12266.6 |
266 | 2025-05-26 13:11:30 | scabbiest | 1 | 81242 | 2 | 6.720 | 12089.6 |
265 | 2025-05-24 18:37:31 | scabbiest | 1 | 81242 | 2 | 5.500 | 14771.3 |
264 | 2025-05-22 22:49:31 | scabbiest | 1 | 81242 | 2 | 3.110 | 26122.8 |
263 | 2025-05-18 03:36:56 | scabbiest | 3 | 148641 | 115 | 52.533 | 2829.5 |
262 | 2025-05-16 12:17:21 | scabbiest | 3 | 148641 | 115 | 31.156 | 4770.9 |
261 | 2025-05-13 04:12:26 | scabbiest | 1 | 81242 | 2 | 3.203 | 25364.3 |
260 | 2025-05-12 21:19:55 | scabbiest | 2 | 121436 | 24 | 8.546 | 14209.7 |
259 | 2025-05-12 05:25:24 | scabbiest | 1 | 81242 | 2 | 7.420 | 10949.1 |
258 | 2025-05-11 04:04:14 | scabbiest | 3 | 148641 | 115 | 33.113 | 4488.9 |
257 | 2025-05-10 17:40:11 | scabbiest | 1 | 81242 | 2 | 6.890 | 11791.3 |
256 | 2025-05-10 08:17:26 | scabbiest | 3 | 148641 | 115 | 35.426 | 4195.8 |
255 | 2025-05-10 03:40:10 | scabbiest | 2 | 121436 | 24 | 24.140 | 5030.5 |
254 | 2025-05-08 13:01:26 | scabbiest | 2 | 121436 | 24 | 19.000 | 6391.4 |
253 | 2025-05-08 04:45:32 | scabbiest | 3 | 148641 | 115 | 32.220 | 4613.3 |
252 | 2025-05-08 04:43:13 | scabbiest | 1 | 81242 | 2 | 6.453 | 12589.8 |
251 | 2025-05-07 09:44:03 | scabbiest | 1 | 81242 | 2 | 1.436 | 56575.2 |
250 | 2025-05-02 00:09:15 | scabbiest | 1 | 81242 | 2 | 3.860 | 21047.2 |
249 | 2025-04-22 22:30:28 | scabbiest | 1 | 81242 | 2 | 7.140 | 11378.4 |
248 | 2025-04-22 19:32:20 | scabbiest | 1 | 81242 | 2 | 5.283 | 15378.0 |
247 | 2025-04-06 16:02:49 | scabbiest | 3 | 148641 | 115 | 37.766 | 3935.8 |
246 | 2025-04-06 07:43:01 | scabbiest | 3 | 148641 | 115 | 45.596 | 3260.0 |
245 | 2025-04-06 04:18:17 | scabbiest | 1 | 81242 | 2 | 6.423 | 12648.6 |
244 | 2025-04-04 12:07:10 | scabbiest | 3 | 148641 | 115 | 37.813 | 3930.9 |
243 | 2025-04-04 02:01:34 | scabbiest | 3 | 148641 | 115 | 43.266 | 3435.5 |
242 | 2025-04-02 12:25:45 | scabbiest | 1 | 81242 | 2 | 7.593 | 10699.6 |
241 | 2025-04-02 04:02:33 | scabbiest | 3 | 148641 | 115 | 51.863 | 2866.0 |
240 | 2025-03-29 12:18:52 | scabbiest | 1 | 81242 | 2 | 7.170 | 11330.8 |
239 | 2025-03-23 00:21:54 | scabbiest | 1 | 81242 | 2 | 6.563 | 12378.8 |
238 | 2025-03-22 20:45:25 | scabbiest | 1 | 81242 | 2 | 2.983 | 27235.0 |
237 | 2025-03-09 17:00:39 | scabbiest | 2 | 121436 | 24 | 21.516 | 5644.0 |
236 | 2025-03-07 15:23:36 | scabbiest | 2 | 121436 | 24 | 19.813 | 6129.1 |
235 | 2025-03-04 13:02:12 | scabbiest | 2 | 121436 | 24 | 19.186 | 6329.4 |
234 | 2025-03-02 03:15:26 | scabbiest | 3 | 148641 | 115 | 34.563 | 4300.6 |
233 | 2025-03-02 03:15:25 | scabbiest | 2 | 121436 | 24 | 15.576 | 7796.4 |
232 | 2025-03-02 01:56:50 | scabbiest | 1 | 81242 | 2 | 6.016 | 13504.3 |
231 | 2025-02-10 17:58:42 | scabbiest | 3 | 148641 | 115 | 39.113 | 3800.3 |
230 | 2025-02-08 21:51:23 | scabbiest | 1 | 81242 | 2 | 5.000 | 16248.4 |
229 | 2025-02-08 10:46:16 | scabbiest | 1 | 81242 | 2 | 2.970 | 27354.2 |
228 | 2025-02-06 15:27:49 | scabbiest | 3 | 148641 | 115 | 31.860 | 4665.4 |
227 | 2025-02-04 21:11:12 | scabbiest | 3 | 148641 | 115 | 22.566 | 6586.9 |
226 | 2025-02-04 21:09:18 | scabbiest | 1 | 81242 | 2 | 4.030 | 20159.3 |
225 | 2025-01-28 03:52:31 | scabbiest | 1 | 81242 | 2 | 9.423 | 8621.7 |
224 | 2025-01-25 18:16:36 | scabbiest | 1 | 81242 | 2 | 1.250 | 64993.6 |
223 | 2025-01-15 20:46:51 | scabbiest | 2 | 121436 | 24 | 20.906 | 5808.7 |
222 | 2025-01-06 08:49:50 | scabbiest | 2 | 121436 | 24 | 17.596 | 6901.3 |
221 | 2025-01-06 06:43:21 | scabbiest | 1 | 81242 | 2 | 5.110 | 15898.6 |
220 | 2025-01-04 22:43:25 | scabbiest | 3 | 148641 | 115 | 45.533 | 3264.5 |
219 | 2025-01-03 13:52:42 | scabbiest | 1 | 81242 | 2 | 3.360 | 24179.2 |