History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coaxially"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
301 | 2025-07-19 22:30:09 | coaxially | 1 | 81242 | 1 | 1.593 | 50999.4 |
300 | 2025-07-16 04:44:18 | coaxially | 3 | 148641 | 40 | 44.456 | 3343.6 |
299 | 2025-07-15 04:02:32 | coaxially | 3 | 148641 | 40 | 20.876 | 7120.2 |
298 | 2025-07-15 02:14:41 | coaxially | 2 | 121436 | 8 | 26.376 | 4604.0 |
297 | 2025-07-13 21:39:44 | coaxially | 3 | 148641 | 40 | 46.343 | 3207.4 |
296 | 2025-07-13 18:28:21 | coaxially | 1 | 81242 | 1 | 1.516 | 53589.7 |
295 | 2025-07-09 14:42:04 | coaxially | 1 | 81242 | 1 | 9.563 | 8495.5 |
294 | 2025-07-08 22:11:14 | coaxially | 1 | 81242 | 1 | 6.453 | 12589.8 |
293 | 2025-07-05 00:21:55 | coaxially | 1 | 81242 | 1 | 7.296 | 11135.1 |
292 | 2025-06-24 02:51:37 | coaxially | 1 | 81242 | 1 | 6.233 | 13034.2 |
291 | 2025-06-24 02:43:04 | coaxially | 1 | 81242 | 1 | 4.106 | 19786.2 |
290 | 2025-05-28 12:31:35 | coaxially | 1 | 81242 | 1 | 1.436 | 56575.2 |
289 | 2025-05-20 16:45:09 | coaxially | 1 | 81242 | 1 | 9.203 | 8827.8 |
288 | 2025-05-20 02:26:44 | coaxially | 1 | 81242 | 1 | 3.343 | 24302.1 |
287 | 2025-05-11 03:56:52 | coaxially | 3 | 148641 | 40 | 39.560 | 3757.4 |
286 | 2025-05-06 09:03:23 | coaxially | 2 | 121436 | 8 | 17.826 | 6812.3 |
285 | 2025-05-06 04:58:42 | coaxially | 3 | 148641 | 40 | 33.863 | 4389.5 |
284 | 2025-05-05 13:39:42 | coaxially | 1 | 81242 | 1 | 1.486 | 54671.6 |
283 | 2025-04-20 01:16:16 | coaxially | 1 | 81242 | 1 | 10.403 | 7809.5 |
282 | 2025-04-02 01:56:47 | coaxially | 3 | 148641 | 40 | 38.813 | 3829.7 |
281 | 2025-03-31 22:51:12 | coaxially | 3 | 148641 | 40 | 33.723 | 4407.7 |
280 | 2025-03-29 03:43:17 | coaxially | 3 | 148641 | 40 | 36.923 | 4025.7 |
279 | 2025-03-28 20:18:22 | coaxially | 4 | 165329 | 252 | 12.783 | 12933.5 |
278 | 2025-03-26 19:45:51 | coaxially | 2 | 121436 | 8 | 3.093 | 39261.6 |
277 | 2025-03-26 18:48:44 | coaxially | 3 | 148641 | 40 | 12.016 | 12370.3 |
276 | 2025-03-21 20:27:36 | coaxially | 1 | 81242 | 1 | 1.956 | 41534.8 |
275 | 2025-03-17 21:26:31 | coaxially | 1 | 81242 | 1 | 8.296 | 9792.9 |
274 | 2025-02-19 18:33:05 | coaxially | 1 | 81242 | 1 | 5.343 | 15205.3 |
273 | 2025-02-18 12:33:18 | coaxially | 1 | 81242 | 1 | 8.826 | 9204.8 |
272 | 2025-02-08 18:43:07 | coaxially | 3 | 148641 | 40 | 32.376 | 4591.1 |
271 | 2025-02-07 04:49:34 | coaxially | 2 | 121436 | 8 | 17.656 | 6877.9 |
270 | 2025-02-07 04:30:35 | coaxially | 1 | 81242 | 1 | 1.563 | 51978.2 |
269 | 2025-02-06 14:50:01 | coaxially | 3 | 148641 | 40 | 43.690 | 3402.2 |
268 | 2025-02-02 07:18:00 | coaxially | 2 | 121436 | 8 | 23.003 | 5279.1 |
267 | 2025-02-02 07:09:39 | coaxially | 1 | 81242 | 1 | 7.110 | 11426.4 |
266 | 2025-01-23 19:31:43 | coaxially | 3 | 148641 | 40 | 46.156 | 3220.4 |
265 | 2025-01-20 03:57:35 | coaxially | 3 | 148641 | 40 | 31.130 | 4774.8 |
264 | 2025-01-19 01:31:05 | coaxially | 3 | 148641 | 40 | 32.126 | 4626.8 |
263 | 2025-01-17 17:13:58 | coaxially | 3 | 148641 | 40 | 34.860 | 4263.9 |
262 | 2025-01-17 17:14:00 | coaxially | 2 | 121436 | 8 | 18.783 | 6465.2 |
261 | 2025-01-17 17:13:17 | coaxially | 4 | 165329 | 252 | 55.843 | 2960.6 |
260 | 2025-01-17 17:12:57 | coaxially | 1 | 81242 | 1 | 3.170 | 25628.4 |
259 | 2024-12-30 20:26:01 | coaxially | 1 | 81242 | 1 | 8.190 | 9919.7 |
258 | 2024-12-26 11:15:02 | coaxially | 1 | 81242 | 1 | 6.923 | 11735.1 |
257 | 2024-12-22 23:22:36 | coaxially | 1 | 81242 | 1 | 4.200 | 19343.3 |
256 | 2024-11-27 13:54:26 | coaxially | 3 | 148641 | 40 | 26.953 | 5514.8 |
255 | 2024-11-10 16:31:24 | coaxially | 1 | 81242 | 1 | 1.483 | 54782.2 |
254 | 2024-11-02 12:23:54 | coaxially | 3 | 148641 | 40 | 37.893 | 3922.7 |
253 | 2024-11-02 00:08:33 | coaxially | 3 | 148641 | 40 | 42.046 | 3535.2 |
252 | 2024-11-02 00:08:39 | coaxially | 2 | 121436 | 8 | 15.266 | 7954.7 |
251 | 2024-11-02 00:05:51 | coaxially | 1 | 81242 | 1 | 4.703 | 17274.5 |
250 | 2024-10-31 17:30:07 | coaxially | 3 | 148641 | 40 | 28.890 | 5145.1 |
249 | 2024-10-29 13:41:41 | coaxially | 4 | 165329 | 252 | 65.306 | 2531.6 |
248 | 2024-10-29 13:41:41 | coaxially | 3 | 148641 | 40 | 29.800 | 4988.0 |
247 | 2024-10-29 13:41:43 | coaxially | 2 | 121436 | 8 | 20.063 | 6052.7 |
246 | 2024-10-29 13:38:34 | coaxially | 1 | 81242 | 1 | 4.843 | 16775.1 |
245 | 2024-10-07 21:47:04 | coaxially | 1 | 81242 | 1 | 26.376 | 3080.1 |
244 | 2024-09-29 06:06:42 | coaxially | 1 | 81242 | 1 | 10.750 | 7557.4 |
243 | 2024-09-18 14:36:00 | coaxially | 1 | 81242 | 1 | 15.516 | 5236.0 |
242 | 2024-09-18 06:58:39 | coaxially | 1 | 81242 | 1 | 5.050 | 16087.5 |
241 | 2024-08-31 19:56:56 | coaxially | 1 | 81242 | 1 | 10.690 | 7599.8 |
240 | 2024-08-18 20:49:20 | coaxially | 1 | 81242 | 1 | 1.360 | 59736.8 |
239 | 2024-07-30 19:41:39 | coaxially | 1 | 81242 | 1 | 6.203 | 13097.2 |
238 | 2024-07-28 17:56:03 | coaxially | 1 | 81242 | 1 | 3.076 | 26411.6 |
237 | 2024-07-28 11:00:59 | coaxially | 1 | 81242 | 1 | 8.953 | 9074.3 |
236 | 2024-07-15 05:47:33 | coaxially | 3 | 148641 | 40 | 24.846 | 5982.5 |
235 | 2024-07-15 05:34:04 | coaxially | 3 | 148641 | 40 | 41.220 | 3606.0 |
234 | 2024-07-12 15:21:24 | coaxially | 3 | 148641 | 40 | 41.143 | 3612.8 |
233 | 2024-07-11 20:39:33 | coaxially | 3 | 148641 | 40 | 19.310 | 7697.6 |
232 | 2024-07-09 10:50:39 | coaxially | 3 | 148641 | 40 | 37.500 | 3963.8 |
231 | 2024-07-07 09:11:48 | coaxially | 3 | 148641 | 40 | 28.046 | 5299.9 |
230 | 2024-06-25 16:01:00 | coaxially | 1 | 81242 | 1 | 5.233 | 15524.9 |
229 | 2024-06-25 08:41:28 | coaxially | 1 | 81242 | 1 | 6.593 | 12322.5 |
228 | 2024-06-19 23:57:48 | coaxially | 4 | 165329 | 252 | 41.330 | 4000.2 |
227 | 2024-06-19 14:00:37 | coaxially | 1 | 81242 | 1 | 2.440 | 33295.9 |
226 | 2024-06-18 20:47:24 | coaxially | 4 | 165329 | 252 | 51.720 | 3196.6 |
225 | 2024-06-18 06:07:58 | coaxially | 4 | 165329 | 252 | 49.303 | 3353.3 |
224 | 2024-06-17 16:01:30 | coaxially | 4 | 165329 | 252 | 45.550 | 3629.6 |
223 | 2024-06-17 07:09:03 | coaxially | 3 | 148641 | 40 | 20.096 | 7396.5 |
222 | 2024-06-16 11:11:04 | coaxially | 3 | 148641 | 40 | 34.516 | 4306.4 |
221 | 2024-06-16 11:11:03 | coaxially | 4 | 165329 | 252 | 24.966 | 6622.2 |
220 | 2024-06-16 11:11:02 | coaxially | 2 | 121436 | 8 | 10.186 | 11921.9 |
219 | 2024-06-11 03:37:14 | coaxially | 1 | 81242 | 1 | 6.813 | 11924.6 |
218 | 2024-06-01 18:17:41 | coaxially | 1 | 81242 | 1 | 7.236 | 11227.5 |
217 | 2024-05-15 15:58:20 | coaxially | 3 | 148641 | 40 | 19.966 | 7444.7 |
216 | 2024-05-15 11:14:34 | coaxially | 3 | 148641 | 40 | 27.140 | 5476.8 |
215 | 2024-05-14 10:34:01 | coaxially | 3 | 148641 | 40 | 36.016 | 4127.1 |
214 | 2024-05-14 10:34:03 | coaxially | 4 | 165329 | 252 | 22.000 | 7515.0 |
213 | 2024-05-14 10:34:03 | coaxially | 2 | 121436 | 8 | 15.516 | 7826.5 |
212 | 2024-05-14 06:50:37 | coaxially | 1 | 81242 | 1 | 1.546 | 52549.8 |
211 | 2024-05-06 21:21:34 | coaxially | 1 | 81242 | 1 | 2.593 | 31331.3 |
210 | 2024-05-03 09:29:35 | coaxially | 1 | 81242 | 1 | 3.013 | 26963.8 |
209 | 2024-05-02 06:01:42 | coaxially | 1 | 81242 | 1 | 1.533 | 52995.4 |
208 | 2024-04-30 03:44:29 | coaxially | 1 | 81242 | 1 | 1.406 | 57782.4 |
207 | 2024-04-29 00:01:37 | coaxially | 1 | 81242 | 1 | 1.466 | 55417.5 |
206 | 2024-04-27 08:13:19 | coaxially | 2 | 121436 | 8 | 3.656 | 33215.5 |
205 | 2024-04-19 04:27:46 | coaxially | 2 | 121436 | 8 | 13.593 | 8933.7 |
204 | 2024-04-19 03:06:24 | coaxially | 1 | 81242 | 1 | 1.593 | 50999.4 |
203 | 2024-04-09 16:34:03 | coaxially | 3 | 148641 | 40 | 6.283 | 23657.6 |
202 | 2024-04-09 11:56:22 | coaxially | 3 | 148641 | 40 | 17.080 | 8702.6 |