History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"workboats"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 362 | 2025-10-28 09:37:26 | workboats | 1 | 81242 | 2 | 1.280 | 63470.3 |
| 361 | 2025-10-08 23:03:34 | workboats | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 360 | 2025-10-08 08:23:20 | workboats | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 359 | 2025-10-07 04:30:31 | workboats | 1 | 81242 | 2 | 1.266 | 64172.2 |
| 358 | 2025-10-06 22:36:55 | workboats | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 357 | 2025-10-06 17:47:49 | workboats | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 356 | 2025-09-28 08:11:46 | workboats | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 355 | 2025-09-27 09:15:47 | workboats | 1 | 81242 | 2 | 1.283 | 63321.9 |
| 354 | 2025-09-19 19:29:43 | workboats | 1 | 81242 | 2 | 1.343 | 60492.9 |
| 353 | 2025-09-09 03:00:33 | workboats | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 352 | 2025-09-07 23:05:29 | workboats | 1 | 81242 | 2 | 1.830 | 44394.5 |
| 351 | 2025-09-07 19:33:35 | workboats | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 350 | 2025-09-07 10:06:00 | workboats | 1 | 81242 | 2 | 1.736 | 46798.4 |
| 349 | 2025-09-06 16:15:40 | workboats | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 348 | 2025-09-06 13:26:10 | workboats | 1 | 81242 | 2 | 1.373 | 59171.2 |
| 347 | 2025-09-05 18:07:28 | workboats | 1 | 81242 | 2 | 1.203 | 67532.8 |
| 346 | 2025-09-05 18:07:26 | workboats | 1 | 81242 | 2 | 1.220 | 66591.8 |
| 345 | 2025-08-28 07:41:12 | workboats | 1 | 81242 | 2 | 2.800 | 29015.0 |
| 344 | 2025-08-28 06:28:39 | workboats | 3 | 148641 | 35 | 6.000 | 24773.5 |
| 343 | 2025-08-27 21:04:33 | workboats | 2 | 121436 | 8 | 3.466 | 35036.4 |
| 342 | 2025-08-27 09:27:24 | workboats | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 341 | 2025-08-26 21:29:03 | workboats | 3 | 148641 | 35 | 12.063 | 12322.1 |
| 340 | 2025-08-22 14:03:00 | workboats | 1 | 81242 | 2 | 1.356 | 59913.0 |
| 339 | 2025-08-19 19:10:22 | workboats | 3 | 148641 | 35 | 15.766 | 9427.9 |
| 338 | 2025-08-18 20:00:14 | workboats | 1 | 81242 | 2 | 3.546 | 22910.9 |
| 337 | 2025-08-14 13:23:14 | workboats | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 336 | 2025-08-08 02:36:56 | workboats | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 335 | 2025-07-17 18:18:55 | workboats | 3 | 148641 | 35 | 39.703 | 3743.8 |
| 334 | 2025-07-17 18:14:06 | workboats | 3 | 148641 | 35 | 32.506 | 4572.7 |
| 333 | 2025-07-17 07:00:09 | workboats | 2 | 121436 | 8 | 7.530 | 16127.0 |
| 332 | 2025-07-15 06:31:13 | workboats | 3 | 148641 | 35 | 27.580 | 5389.4 |
| 331 | 2025-07-15 02:42:05 | workboats | 3 | 148641 | 35 | 46.643 | 3186.8 |
| 330 | 2025-07-13 22:14:08 | workboats | 2 | 121436 | 8 | 15.626 | 7771.4 |
| 329 | 2025-07-12 17:19:26 | workboats | 2 | 121436 | 8 | 3.533 | 34371.9 |
| 328 | 2025-07-03 21:32:55 | workboats | 1 | 81242 | 2 | 6.000 | 13540.3 |
| 327 | 2025-06-29 20:24:39 | workboats | 1 | 81242 | 2 | 4.203 | 19329.5 |
| 326 | 2025-06-28 08:02:15 | workboats | 1 | 81242 | 2 | 3.733 | 21763.2 |
| 325 | 2025-06-25 09:34:32 | workboats | 1 | 81242 | 2 | 1.233 | 65889.7 |
| 324 | 2025-06-23 13:52:07 | workboats | 1 | 81242 | 2 | 2.890 | 28111.4 |
| 323 | 2025-06-23 01:12:45 | workboats | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 322 | 2025-06-17 23:43:07 | workboats | 3 | 148641 | 35 | 22.593 | 6579.1 |
| 321 | 2025-06-16 06:43:25 | workboats | 3 | 148641 | 35 | 42.816 | 3471.6 |
| 320 | 2025-06-13 16:25:12 | workboats | 3 | 148641 | 35 | 6.703 | 22175.3 |
| 319 | 2025-06-11 00:17:59 | workboats | 3 | 148641 | 35 | 41.393 | 3591.0 |
| 318 | 2025-06-06 17:44:09 | workboats | 3 | 148641 | 35 | 14.660 | 10139.2 |
| 317 | 2025-05-29 14:09:17 | workboats | 3 | 148641 | 35 | 43.536 | 3414.2 |
| 316 | 2025-05-28 22:53:57 | workboats | 1 | 81242 | 2 | 6.470 | 12556.7 |
| 315 | 2025-05-28 07:21:07 | workboats | 2 | 121436 | 8 | 13.360 | 9089.5 |
| 314 | 2025-05-27 14:30:52 | workboats | 3 | 148641 | 35 | 41.660 | 3568.0 |
| 313 | 2025-05-27 09:26:41 | workboats | 2 | 121436 | 8 | 36.283 | 3346.9 |
| 312 | 2025-05-27 03:27:30 | workboats | 4 | 165329 | 182 | 68.533 | 2412.4 |
| 311 | 2025-05-25 20:35:46 | workboats | 1 | 81242 | 2 | 2.016 | 40298.6 |
| 310 | 2025-05-18 09:49:39 | workboats | 1 | 81242 | 2 | 6.686 | 12151.1 |
| 309 | 2025-05-17 12:41:36 | workboats | 3 | 148641 | 35 | 7.983 | 18619.7 |
| 308 | 2025-04-26 00:37:01 | workboats | 1 | 81242 | 2 | 4.673 | 17385.4 |
| 307 | 2025-04-25 17:22:41 | workboats | 3 | 148641 | 35 | 7.970 | 18650.1 |
| 306 | 2025-04-04 15:26:27 | workboats | 3 | 148641 | 35 | 41.940 | 3544.1 |
| 305 | 2025-04-03 21:59:05 | workboats | 3 | 148641 | 35 | 43.000 | 3456.8 |
| 304 | 2025-04-02 23:14:02 | workboats | 1 | 81242 | 2 | 10.253 | 7923.7 |
| 303 | 2025-03-29 16:57:50 | workboats | 4 | 165329 | 182 | 66.943 | 2469.7 |
| 302 | 2025-03-29 16:23:33 | workboats | 4 | 165329 | 182 | 56.143 | 2944.8 |
| 301 | 2025-03-28 23:26:28 | workboats | 1 | 81242 | 2 | 7.720 | 10523.6 |
| 300 | 2025-03-28 22:52:28 | workboats | 3 | 148641 | 35 | 28.563 | 5204.0 |
| 299 | 2025-03-27 14:19:04 | workboats | 4 | 165329 | 182 | 61.913 | 2670.3 |
| 298 | 2025-03-26 02:19:48 | workboats | 4 | 165329 | 182 | 15.673 | 10548.7 |
| 297 | 2025-03-24 16:33:17 | workboats | 2 | 121436 | 8 | 8.796 | 13805.8 |
| 296 | 2025-03-24 15:00:49 | workboats | 3 | 148641 | 35 | 7.330 | 20278.4 |
| 295 | 2025-03-23 09:51:43 | workboats | 1 | 81242 | 2 | 3.186 | 25499.7 |
| 294 | 2025-03-21 20:57:02 | workboats | 1 | 81242 | 2 | 2.703 | 30056.2 |
| 293 | 2025-03-16 11:45:44 | workboats | 1 | 81242 | 2 | 3.000 | 27080.7 |
| 292 | 2025-03-12 01:46:46 | workboats | 1 | 81242 | 2 | 6.326 | 12842.6 |
| 291 | 2025-02-18 06:58:17 | workboats | 3 | 148641 | 35 | 28.720 | 5175.5 |
| 290 | 2025-02-18 05:24:57 | workboats | 3 | 148641 | 35 | 6.513 | 22822.2 |
| 289 | 2025-02-18 03:59:58 | workboats | 3 | 148641 | 35 | 34.360 | 4326.0 |
| 288 | 2025-02-16 05:07:05 | workboats | 2 | 121436 | 8 | 12.203 | 9951.3 |
| 287 | 2025-02-16 05:05:19 | workboats | 1 | 81242 | 2 | 5.250 | 15474.7 |
| 286 | 2025-02-15 23:00:42 | workboats | 3 | 148641 | 35 | 33.893 | 4385.6 |
| 285 | 2025-02-14 10:15:55 | workboats | 3 | 148641 | 35 | 41.846 | 3552.1 |
| 284 | 2025-02-14 10:15:55 | workboats | 4 | 165329 | 182 | 31.613 | 5229.8 |
| 283 | 2025-02-14 10:15:50 | workboats | 2 | 121436 | 8 | 23.676 | 5129.1 |
| 282 | 2025-02-13 14:05:23 | workboats | 4 | 165329 | 182 | 56.923 | 2904.4 |
| 281 | 2025-02-11 13:15:44 | workboats | 3 | 148641 | 35 | 28.140 | 5282.2 |
| 280 | 2025-02-10 12:52:09 | workboats | 1 | 81242 | 2 | 5.626 | 14440.5 |
| 279 | 2025-02-09 12:41:52 | workboats | 1 | 81242 | 2 | 1.356 | 59913.0 |
| 278 | 2025-01-25 22:11:17 | workboats | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 277 | 2025-01-19 13:20:23 | workboats | 1 | 81242 | 2 | 6.500 | 12498.8 |
| 276 | 2025-01-17 17:08:07 | workboats | 4 | 165329 | 182 | 76.213 | 2169.3 |
| 275 | 2025-01-17 17:08:22 | workboats | 3 | 148641 | 35 | 37.316 | 3983.3 |
| 274 | 2025-01-13 04:05:39 | workboats | 3 | 148641 | 35 | 24.110 | 6165.1 |
| 273 | 2025-01-08 21:13:59 | workboats | 1 | 81242 | 2 | 6.470 | 12556.7 |
| 272 | 2025-01-07 03:07:59 | workboats | 4 | 165329 | 182 | 47.783 | 3460.0 |
| 271 | 2025-01-06 21:16:30 | workboats | 3 | 148641 | 35 | 25.220 | 5893.8 |
| 270 | 2025-01-06 09:04:24 | workboats | 4 | 165329 | 182 | 84.130 | 1965.2 |
| 269 | 2025-01-06 09:05:01 | workboats | 2 | 121436 | 8 | 12.736 | 9534.9 |
| 268 | 2025-01-06 09:04:25 | workboats | 3 | 148641 | 35 | 36.750 | 4044.7 |
| 267 | 2025-01-06 05:55:00 | workboats | 1 | 81242 | 2 | 1.813 | 44810.8 |
| 266 | 2024-12-26 08:42:10 | workboats | 1 | 81242 | 2 | 4.690 | 17322.4 |
| 265 | 2024-12-07 10:27:51 | workboats | 1 | 81242 | 2 | 2.466 | 32944.8 |
| 264 | 2024-12-02 17:05:29 | workboats | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 263 | 2024-11-19 20:09:50 | workboats | 1 | 81242 | 2 | 5.656 | 14363.9 |