History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"cabriolets"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 363 | 2025-11-12 16:57:02 | cabriolets | 1 | 67641 | 3 | 1.403 | 48211.7 |
| 362 | 2025-11-09 14:29:23 | cabriolets | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 361 | 2025-11-06 09:32:01 | cabriolets | 2 | 108824 | 7 | 2.983 | 36481.4 |
| 360 | 2025-10-29 05:55:46 | cabriolets | 2 | 108824 | 7 | 3.203 | 33975.6 |
| 359 | 2025-10-27 22:56:36 | cabriolets | 1 | 67641 | 3 | 1.206 | 56087.1 |
| 358 | 2025-10-22 01:08:23 | cabriolets | 1 | 67641 | 3 | 2.750 | 24596.7 |
| 357 | 2025-10-22 01:07:43 | cabriolets | 1 | 67641 | 3 | 8.156 | 8293.4 |
| 356 | 2025-10-22 01:07:10 | cabriolets | 1 | 67641 | 3 | 2.936 | 23038.5 |
| 355 | 2025-10-22 01:06:43 | cabriolets | 1 | 67641 | 3 | 6.000 | 11273.5 |
| 354 | 2025-10-09 07:30:50 | cabriolets | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 353 | 2025-08-27 13:29:20 | cabriolets | 3 | 140603 | 19 | 6.733 | 20882.7 |
| 352 | 2025-08-17 13:28:00 | cabriolets | 1 | 67641 | 3 | 2.783 | 24305.1 |
| 351 | 2025-08-09 13:38:37 | cabriolets | 1 | 67641 | 3 | 6.406 | 10559.0 |
| 350 | 2025-07-27 01:49:56 | cabriolets | 1 | 67641 | 3 | 5.406 | 12512.2 |
| 349 | 2025-07-24 21:54:46 | cabriolets | 1 | 67641 | 3 | 8.970 | 7540.8 |
| 348 | 2025-07-24 19:29:57 | cabriolets | 1 | 67641 | 3 | 6.686 | 10116.8 |
| 347 | 2025-07-13 22:56:06 | cabriolets | 1 | 67641 | 3 | 7.750 | 8727.9 |
| 346 | 2025-07-13 18:34:00 | cabriolets | 1 | 67641 | 3 | 1.563 | 43276.4 |
| 345 | 2025-07-10 20:37:17 | cabriolets | 3 | 140603 | 19 | 20.516 | 6853.3 |
| 344 | 2025-07-10 03:34:08 | cabriolets | 2 | 108824 | 7 | 9.733 | 11180.9 |
| 343 | 2025-07-09 11:29:36 | cabriolets | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 342 | 2025-06-15 17:57:54 | cabriolets | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 341 | 2025-06-13 21:21:09 | cabriolets | 1 | 67641 | 3 | 2.970 | 22774.7 |
| 340 | 2025-06-08 15:00:47 | cabriolets | 1 | 67641 | 3 | 9.016 | 7502.3 |
| 339 | 2025-06-08 14:12:01 | cabriolets | 1 | 67641 | 3 | 8.563 | 7899.2 |
| 338 | 2025-05-26 07:45:23 | cabriolets | 3 | 140603 | 19 | 35.016 | 4015.4 |
| 337 | 2025-05-25 22:32:39 | cabriolets | 2 | 108824 | 7 | 14.923 | 7292.4 |
| 336 | 2025-05-25 00:58:07 | cabriolets | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 335 | 2025-05-04 16:21:46 | cabriolets | 1 | 67641 | 3 | 6.296 | 10743.5 |
| 334 | 2025-04-25 00:13:31 | cabriolets | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 333 | 2025-04-18 16:30:40 | cabriolets | 3 | 140603 | 19 | 28.266 | 4974.3 |
| 332 | 2025-03-21 21:52:20 | cabriolets | 2 | 108824 | 7 | 14.923 | 7292.4 |
| 331 | 2025-03-21 01:05:03 | cabriolets | 1 | 67641 | 3 | 2.953 | 22905.9 |
| 330 | 2025-03-09 13:17:20 | cabriolets | 3 | 140603 | 19 | 33.860 | 4152.5 |
| 329 | 2025-03-09 05:22:14 | cabriolets | 1 | 67641 | 3 | 8.390 | 8062.1 |
| 328 | 2025-03-08 18:33:08 | cabriolets | 3 | 140603 | 19 | 30.190 | 4657.3 |
| 327 | 2025-03-04 00:58:06 | cabriolets | 1 | 67641 | 3 | 2.860 | 23650.7 |
| 326 | 2025-03-01 00:33:07 | cabriolets | 3 | 140603 | 19 | 20.673 | 6801.3 |
| 325 | 2025-02-22 20:33:45 | cabriolets | 3 | 140603 | 19 | 44.063 | 3191.0 |
| 324 | 2025-02-22 20:34:11 | cabriolets | 2 | 108824 | 7 | 13.376 | 8135.8 |
| 323 | 2025-02-22 20:31:55 | cabriolets | 1 | 67641 | 3 | 2.860 | 23650.7 |
| 322 | 2025-02-12 15:23:52 | cabriolets | 3 | 140603 | 19 | 39.173 | 3589.3 |
| 321 | 2025-02-10 18:19:53 | cabriolets | 3 | 140603 | 19 | 15.906 | 8839.6 |
| 320 | 2025-02-09 03:52:01 | cabriolets | 3 | 140603 | 19 | 41.330 | 3402.0 |
| 319 | 2025-02-09 03:51:57 | cabriolets | 2 | 108824 | 7 | 14.800 | 7353.0 |
| 318 | 2025-02-09 03:11:43 | cabriolets | 1 | 67641 | 3 | 3.500 | 19326.0 |
| 317 | 2025-02-08 17:05:32 | cabriolets | 4 | 161450 | 171 | 47.016 | 3433.9 |
| 316 | 2025-02-07 20:29:59 | cabriolets | 4 | 161450 | 171 | 58.330 | 2767.9 |
| 315 | 2025-01-25 23:23:54 | cabriolets | 1 | 67641 | 3 | 1.153 | 58665.2 |
| 314 | 2025-01-23 15:28:48 | cabriolets | 1 | 67641 | 3 | 5.140 | 13159.7 |
| 313 | 2025-01-20 08:57:57 | cabriolets | 4 | 161450 | 171 | 60.600 | 2664.2 |
| 312 | 2025-01-20 04:18:37 | cabriolets | 4 | 161450 | 171 | 56.220 | 2871.8 |
| 311 | 2025-01-20 01:29:50 | cabriolets | 4 | 161450 | 171 | 60.283 | 2678.2 |
| 310 | 2025-01-20 01:30:03 | cabriolets | 2 | 108824 | 7 | 15.703 | 6930.1 |
| 309 | 2025-01-20 01:29:29 | cabriolets | 1 | 67641 | 3 | 2.906 | 23276.3 |
| 308 | 2025-01-09 23:30:33 | cabriolets | 3 | 140603 | 19 | 19.796 | 7102.6 |
| 307 | 2025-01-07 19:35:31 | cabriolets | 3 | 140603 | 19 | 21.533 | 6529.7 |
| 306 | 2025-01-07 19:35:34 | cabriolets | 2 | 108824 | 7 | 18.076 | 6020.4 |
| 305 | 2024-12-21 05:35:34 | cabriolets | 1 | 67641 | 3 | 3.580 | 18894.1 |
| 304 | 2024-12-20 09:38:28 | cabriolets | 4 | 161450 | 171 | 61.420 | 2628.6 |
| 303 | 2024-12-20 09:38:34 | cabriolets | 2 | 108824 | 7 | 19.363 | 5620.2 |
| 302 | 2024-12-20 09:37:40 | cabriolets | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 301 | 2024-12-15 03:50:50 | cabriolets | 1 | 67641 | 3 | 5.326 | 12700.2 |
| 300 | 2024-11-29 14:59:47 | cabriolets | 3 | 140603 | 19 | 29.050 | 4840.0 |
| 299 | 2024-11-24 01:43:32 | cabriolets | 3 | 140603 | 19 | 33.453 | 4203.0 |
| 298 | 2024-11-24 01:42:24 | cabriolets | 1 | 67641 | 3 | 5.486 | 12329.7 |
| 297 | 2024-11-15 02:41:42 | cabriolets | 3 | 140603 | 19 | 36.253 | 3878.4 |
| 296 | 2024-11-13 10:25:38 | cabriolets | 1 | 67641 | 3 | 4.280 | 15804.0 |
| 295 | 2024-11-11 12:03:36 | cabriolets | 2 | 108824 | 7 | 10.173 | 10697.3 |
| 294 | 2024-11-10 09:38:53 | cabriolets | 2 | 108824 | 7 | 9.516 | 11435.9 |
| 293 | 2024-11-10 01:16:37 | cabriolets | 3 | 140603 | 19 | 20.546 | 6843.3 |
| 292 | 2024-11-09 08:10:16 | cabriolets | 3 | 140603 | 19 | 30.330 | 4635.8 |
| 291 | 2024-11-09 08:10:16 | cabriolets | 2 | 108824 | 7 | 19.580 | 5557.9 |
| 290 | 2024-10-28 04:39:41 | cabriolets | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 289 | 2024-10-26 20:25:16 | cabriolets | 3 | 140603 | 19 | 31.500 | 4463.6 |
| 288 | 2024-10-26 01:33:13 | cabriolets | 1 | 67641 | 3 | 5.173 | 13075.8 |
| 287 | 2024-10-23 14:23:18 | cabriolets | 3 | 140603 | 19 | 33.723 | 4169.4 |
| 286 | 2024-10-23 14:23:24 | cabriolets | 3 | 140603 | 19 | 25.800 | 5449.7 |
| 285 | 2024-10-23 14:23:23 | cabriolets | 2 | 108824 | 7 | 23.783 | 4575.7 |
| 284 | 2024-10-16 23:28:41 | cabriolets | 1 | 67641 | 3 | 5.063 | 13359.9 |
| 283 | 2024-10-11 07:58:22 | cabriolets | 2 | 108824 | 7 | 15.766 | 6902.4 |
| 282 | 2024-10-11 01:14:02 | cabriolets | 2 | 108824 | 7 | 17.580 | 6190.2 |
| 281 | 2024-10-11 01:09:57 | cabriolets | 1 | 67641 | 3 | 4.453 | 15190.0 |
| 280 | 2024-09-14 04:20:49 | cabriolets | 3 | 140603 | 19 | 40.750 | 3450.4 |
| 279 | 2024-09-14 04:20:52 | cabriolets | 2 | 108824 | 7 | 35.750 | 3044.0 |
| 278 | 2024-09-14 04:19:31 | cabriolets | 1 | 67641 | 3 | 7.670 | 8818.9 |
| 277 | 2024-09-12 11:05:55 | cabriolets | 1 | 67641 | 3 | 8.390 | 8062.1 |
| 276 | 2024-09-09 06:27:33 | cabriolets | 1 | 67641 | 3 | 6.030 | 11217.4 |
| 275 | 2024-08-16 18:06:06 | cabriolets | 1 | 67641 | 3 | 8.503 | 7955.0 |
| 274 | 2024-08-16 17:29:07 | cabriolets | 1 | 67641 | 3 | 9.000 | 7515.7 |
| 273 | 2024-07-29 06:12:22 | cabriolets | 1 | 67641 | 3 | 1.343 | 50365.6 |
| 272 | 2024-07-22 13:24:37 | cabriolets | 3 | 140603 | 19 | 20.640 | 6812.2 |
| 271 | 2024-07-22 13:24:38 | cabriolets | 2 | 108824 | 7 | 6.953 | 15651.4 |
| 270 | 2024-07-22 13:24:01 | cabriolets | 3 | 140603 | 19 | 36.860 | 3814.5 |
| 269 | 2024-07-22 13:20:50 | cabriolets | 1 | 67641 | 3 | 1.983 | 34110.4 |
| 268 | 2024-07-04 07:16:49 | cabriolets | 3 | 140603 | 19 | 36.220 | 3881.9 |
| 267 | 2024-07-04 07:16:52 | cabriolets | 2 | 108824 | 7 | 11.860 | 9175.7 |
| 266 | 2024-07-04 07:15:08 | cabriolets | 1 | 67641 | 3 | 4.640 | 14577.8 |
| 265 | 2024-06-26 20:36:56 | cabriolets | 2 | 108824 | 7 | 12.986 | 8380.1 |
| 264 | 2024-06-16 15:57:50 | cabriolets | 4 | 161450 | 171 | 55.253 | 2922.0 |