History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cabriolet"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
316 | 2024-04-11 12:07:39 | cabriolet | 1 | 81242 | 4 | 1.483 | 54782.2 |
315 | 2024-04-09 05:37:40 | cabriolet | 3 | 148641 | 23 | 27.440 | 5416.9 |
314 | 2024-04-09 05:37:42 | cabriolet | 2 | 121436 | 11 | 13.046 | 9308.3 |
313 | 2024-04-09 05:21:08 | cabriolet | 1 | 81242 | 4 | 3.516 | 23106.4 |
312 | 2024-03-31 05:58:35 | cabriolet | 4 | 165329 | 252 | 30.986 | 5335.6 |
311 | 2024-03-30 22:58:16 | cabriolet | 1 | 81242 | 4 | 3.313 | 24522.2 |
310 | 2024-03-25 20:44:53 | cabriolet | 3 | 148641 | 23 | 9.050 | 16424.4 |
309 | 2024-03-23 23:48:16 | cabriolet | 4 | 165329 | 252 | 10.486 | 15766.6 |
308 | 2024-03-22 12:51:58 | cabriolet | 3 | 148641 | 23 | 26.160 | 5682.0 |
307 | 2024-03-22 12:51:59 | cabriolet | 2 | 121436 | 11 | 12.783 | 9499.8 |
306 | 2024-03-22 10:23:10 | cabriolet | 1 | 81242 | 4 | 1.530 | 53099.3 |
305 | 2024-03-18 12:28:31 | cabriolet | 2 | 121436 | 11 | 12.093 | 10041.8 |
304 | 2024-03-18 10:58:53 | cabriolet | 1 | 81242 | 4 | 3.063 | 26523.7 |
303 | 2024-03-14 10:49:34 | cabriolet | 4 | 165329 | 252 | 48.016 | 3443.2 |
302 | 2024-03-13 17:50:20 | cabriolet | 4 | 165329 | 252 | 36.266 | 4558.8 |
301 | 2024-03-13 17:50:32 | cabriolet | 3 | 148641 | 23 | 19.500 | 7622.6 |
300 | 2024-03-11 17:22:37 | cabriolet | 4 | 165329 | 252 | 39.283 | 4208.7 |
299 | 2024-03-11 17:22:33 | cabriolet | 3 | 148641 | 23 | 17.280 | 8601.9 |
298 | 2024-03-11 17:22:33 | cabriolet | 2 | 121436 | 11 | 8.813 | 13779.2 |
297 | 2024-03-11 17:21:34 | cabriolet | 1 | 81242 | 4 | 1.656 | 49059.2 |
296 | 2024-03-01 00:19:17 | cabriolet | 1 | 81242 | 4 | 1.453 | 55913.3 |
295 | 2024-02-28 02:19:57 | cabriolet | 1 | 81242 | 4 | 1.360 | 59736.8 |
294 | 2024-02-10 20:27:39 | cabriolet | 3 | 148641 | 23 | 18.453 | 8055.1 |
293 | 2024-02-01 18:24:01 | cabriolet | 1 | 81242 | 4 | 1.406 | 57782.4 |
292 | 2024-01-31 10:26:23 | cabriolet | 1 | 81242 | 4 | 1.406 | 57782.4 |
291 | 2024-01-30 07:59:26 | cabriolet | 1 | 81242 | 4 | 1.406 | 57782.4 |
290 | 2024-01-29 00:04:31 | cabriolet | 1 | 81242 | 4 | 1.423 | 57092.1 |
289 | 2024-01-23 10:55:10 | cabriolet | 4 | 165329 | 252 | 45.503 | 3633.4 |
288 | 2024-01-08 03:49:26 | cabriolet | 4 | 165329 | 252 | 12.923 | 12793.4 |
287 | 2024-01-03 09:40:12 | cabriolet | 3 | 148641 | 23 | 9.296 | 15989.8 |
286 | 2024-01-01 23:15:19 | cabriolet | 3 | 148641 | 23 | 7.173 | 20722.3 |
285 | 2023-12-21 22:22:01 | cabriolet | 4 | 165329 | 252 | 13.766 | 12010.0 |
284 | 2023-12-21 22:22:06 | cabriolet | 2 | 121436 | 11 | 4.126 | 29431.9 |
283 | 2023-12-21 22:22:02 | cabriolet | 3 | 148641 | 23 | 8.033 | 18503.8 |
282 | 2023-11-25 07:50:28 | cabriolet | 1 | 81242 | 4 | 1.236 | 65729.8 |
281 | 2023-11-12 04:43:04 | cabriolet | 3 | 148641 | 23 | 6.376 | 23312.6 |
280 | 2023-10-29 17:14:04 | cabriolet | 1 | 81242 | 4 | 1.376 | 59042.2 |
279 | 2023-10-14 17:05:10 | cabriolet | 4 | 165329 | 252 | 10.550 | 15671.0 |
278 | 2023-10-13 08:54:50 | cabriolet | 1 | 81242 | 4 | 1.406 | 57782.4 |
277 | 2023-10-09 20:21:48 | cabriolet | 1 | 81242 | 4 | 1.266 | 64172.2 |
276 | 2023-09-10 10:08:29 | cabriolet | 1 | 81242 | 4 | 1.250 | 64993.6 |
275 | 2023-08-26 19:01:30 | cabriolet | 4 | 165329 | 252 | 11.580 | 14277.1 |
274 | 2023-08-14 19:22:53 | cabriolet | 3 | 148641 | 23 | 6.250 | 23782.6 |
273 | 2023-07-26 23:08:09 | cabriolet | 4 | 165329 | 252 | 10.720 | 15422.5 |
272 | 2023-06-17 16:14:49 | cabriolet | 1 | 81242 | 4 | 1.250 | 64993.6 |
271 | 2023-06-09 19:46:55 | cabriolet | 1 | 81242 | 4 | 1.406 | 57782.4 |
270 | 2023-06-06 13:08:39 | cabriolet | 1 | 81242 | 4 | 1.250 | 64993.6 |
269 | 2023-04-27 23:26:40 | cabriolet | 3 | 148641 | 23 | 6.216 | 23912.6 |
268 | 2023-04-05 00:30:24 | cabriolet | 4 | 165329 | 252 | 12.503 | 13223.1 |
267 | 2023-04-02 17:07:03 | cabriolet | 4 | 165329 | 252 | 10.500 | 15745.6 |
266 | 2023-04-01 12:17:51 | cabriolet | 1 | 81242 | 4 | 2.530 | 32111.5 |
265 | 2023-02-04 01:58:43 | cabriolet | 4 | 165329 | 252 | 13.126 | 12595.5 |
264 | 2023-02-03 20:33:54 | cabriolet | 3 | 148641 | 23 | 6.253 | 23771.1 |
263 | 2023-01-31 21:10:16 | cabriolet | 1 | 81242 | 4 | 1.250 | 64993.6 |
262 | 2023-01-14 15:42:03 | cabriolet | 1 | 81242 | 4 | 1.250 | 64993.6 |
261 | 2023-01-01 21:55:30 | cabriolet | 4 | 165329 | 252 | 12.860 | 12856.1 |
260 | 2022-12-16 22:34:28 | cabriolet | 4 | 165329 | 252 | 12.810 | 12906.2 |
259 | 2022-11-15 06:03:53 | cabriolet | 3 | 148641 | 23 | 6.096 | 24383.4 |
258 | 2022-11-07 04:50:31 | cabriolet | 4 | 165329 | 252 | 10.826 | 15271.5 |
257 | 2022-11-06 07:01:10 | cabriolet | 4 | 165329 | 252 | 12.280 | 13463.3 |
256 | 2022-10-31 01:07:10 | cabriolet | 1 | 81242 | 4 | 1.233 | 65889.7 |
255 | 2022-09-29 15:14:56 | cabriolet | 1 | 81242 | 4 | 1.250 | 64993.6 |
254 | 2022-09-04 22:53:49 | cabriolet | 4 | 165329 | 252 | 10.720 | 15422.5 |
253 | 2022-09-02 06:13:07 | cabriolet | 4 | 165329 | 252 | 13.800 | 11980.4 |
252 | 2022-08-28 03:59:56 | cabriolet | 4 | 165329 | 252 | 11.000 | 15029.9 |
251 | 2022-07-30 08:33:20 | cabriolet | 4 | 165329 | 252 | 12.250 | 13496.2 |
250 | 2022-06-19 00:50:28 | cabriolet | 1 | 81242 | 4 | 1.280 | 63470.3 |
249 | 2022-06-18 23:26:10 | cabriolet | 3 | 148641 | 23 | 6.220 | 23897.3 |
248 | 2022-06-18 21:52:06 | cabriolet | 4 | 165329 | 252 | 11.096 | 14899.9 |
247 | 2022-06-16 19:46:01 | cabriolet | 3 | 148641 | 23 | 6.503 | 22857.3 |
246 | 2022-06-02 03:00:51 | cabriolet | 1 | 81242 | 4 | 1.423 | 57092.1 |
245 | 2022-03-30 11:47:52 | cabriolet | 4 | 165329 | 252 | 12.983 | 12734.3 |
244 | 2022-02-28 17:15:27 | cabriolet | 1 | 81242 | 4 | 1.530 | 53099.3 |
243 | 2022-02-26 11:57:38 | cabriolet | 1 | 81242 | 4 | 1.420 | 57212.7 |
242 | 2022-02-17 19:06:47 | cabriolet | 3 | 148641 | 23 | 7.156 | 20771.5 |
241 | 2022-02-01 04:55:51 | cabriolet | 1 | 81242 | 4 | 1.280 | 63470.3 |
240 | 2022-01-10 20:10:38 | cabriolet | 4 | 165329 | 252 | 12.156 | 13600.6 |
239 | 2021-12-13 09:25:22 | cabriolet | 1 | 81242 | 4 | 1.343 | 60492.9 |
238 | 2021-11-01 20:51:13 | cabriolet | 1 | 81242 | 4 | 1.300 | 62493.8 |
237 | 2021-10-08 20:03:48 | cabriolet | 1 | 81242 | 4 | 1.326 | 61268.5 |
236 | 2021-07-10 16:00:25 | cabriolet | 1 | 81242 | 4 | 1.296 | 62686.7 |
235 | 2021-06-28 15:03:09 | cabriolet | 4 | 165329 | 252 | 11.576 | 14282.0 |
234 | 2021-05-13 16:30:50 | cabriolet | 1 | 81242 | 4 | 1.453 | 55913.3 |
233 | 2021-04-12 14:32:14 | cabriolet | 1 | 81242 | 4 | 1.500 | 54161.3 |
232 | 2021-04-06 19:52:37 | cabriolet | 1 | 81242 | 4 | 1.423 | 57092.1 |
231 | 2021-04-02 15:56:30 | cabriolet | 1 | 81242 | 4 | 1.483 | 54782.2 |
230 | 2021-03-02 12:06:05 | cabriolet | 4 | 165329 | 252 | 11.750 | 14070.6 |
229 | 2021-02-23 11:03:54 | cabriolet | 4 | 165329 | 252 | 11.140 | 14841.0 |
228 | 2021-02-19 11:12:22 | cabriolet | 1 | 81242 | 4 | 1.296 | 62686.7 |
227 | 2021-01-26 12:39:06 | cabriolet | 1 | 81242 | 4 | 1.406 | 57782.4 |
226 | 2021-01-17 04:49:13 | cabriolet | 4 | 165329 | 252 | 10.953 | 15094.4 |
225 | 2020-12-28 14:38:12 | cabriolet | 1 | 81242 | 4 | 2.733 | 29726.3 |
224 | 2020-12-21 15:51:13 | cabriolet | 1 | 81242 | 4 | 1.283 | 63321.9 |
223 | 2020-11-12 05:26:24 | cabriolet | 1 | 81242 | 4 | 1.266 | 64172.2 |
222 | 2020-11-06 22:34:50 | cabriolet | 1 | 81242 | 4 | 1.326 | 61268.5 |
221 | 2020-10-22 17:01:13 | cabriolet | 4 | 165329 | 252 | 15.390 | 10742.6 |
220 | 2020-10-22 06:34:20 | cabriolet | 4 | 165329 | 252 | 10.673 | 15490.4 |
219 | 2020-10-12 18:13:25 | cabriolet | 4 | 165329 | 252 | 12.080 | 13686.2 |
218 | 2020-09-17 16:49:16 | cabriolet | 1 | 81242 | 4 | 1.296 | 62686.7 |
217 | 2020-07-24 12:52:06 | cabriolet | 1 | 81242 | 4 | 1.513 | 53696.0 |