History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"coarser"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 367 | 2024-04-28 04:51:08 | coarser | 1 | 69583 | 5 | 1.686 | 41271.1 |
| 366 | 2024-04-20 21:52:29 | coarser | 1 | 69583 | 5 | 3.343 | 20814.5 |
| 365 | 2024-04-04 07:20:51 | coarser | 1 | 69583 | 5 | 1.156 | 60192.9 |
| 364 | 2024-03-30 06:51:19 | coarser | 1 | 69583 | 5 | 2.406 | 28920.6 |
| 363 | 2024-03-30 00:10:43 | coarser | 1 | 69583 | 5 | 1.343 | 51811.6 |
| 362 | 2024-03-20 19:58:58 | coarser | 1 | 69583 | 5 | 2.016 | 34515.4 |
| 361 | 2024-03-04 17:50:31 | coarser | 1 | 69583 | 5 | 3.203 | 21724.3 |
| 360 | 2024-02-28 15:37:51 | coarser | 2 | 107671 | 56 | 10.986 | 9800.7 |
| 359 | 2024-02-28 12:02:03 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 358 | 2024-02-28 08:55:46 | coarser | 3 | 134027 | 620 | 39.906 | 3358.6 |
| 357 | 2024-02-27 00:54:44 | coarser | 3 | 134027 | 620 | 8.046 | 16657.6 |
| 356 | 2024-02-27 00:54:43 | coarser | 2 | 107671 | 56 | 3.653 | 29474.7 |
| 355 | 2024-02-27 00:54:41 | coarser | 1 | 69583 | 5 | 1.313 | 52995.4 |
| 354 | 2024-02-21 14:36:24 | coarser | 3 | 134027 | 620 | 19.140 | 7002.5 |
| 353 | 2024-02-18 22:03:27 | coarser | 3 | 134027 | 620 | 18.033 | 7432.3 |
| 352 | 2024-02-18 22:03:26 | coarser | 2 | 107671 | 56 | 14.110 | 7630.8 |
| 351 | 2024-02-18 13:39:57 | coarser | 1 | 69583 | 5 | 1.173 | 59320.5 |
| 350 | 2024-01-19 12:43:47 | coarser | 1 | 69583 | 5 | 1.143 | 60877.5 |
| 349 | 2023-12-24 17:20:42 | coarser | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 348 | 2023-12-24 00:40:50 | coarser | 1 | 69583 | 5 | 1.173 | 59320.5 |
| 347 | 2023-12-18 06:05:41 | coarser | 3 | 134027 | 620 | 7.063 | 18975.9 |
| 346 | 2023-12-18 06:05:42 | coarser | 2 | 107671 | 56 | 3.626 | 29694.2 |
| 345 | 2023-12-16 12:34:02 | coarser | 3 | 134027 | 620 | 7.080 | 18930.4 |
| 344 | 2023-12-16 12:34:00 | coarser | 2 | 107671 | 56 | 3.466 | 31064.9 |
| 343 | 2023-12-07 23:19:07 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 342 | 2023-12-07 23:19:06 | coarser | 1 | 69583 | 5 | 1.236 | 56296.9 |
| 341 | 2023-12-05 20:27:20 | coarser | 2 | 107671 | 56 | 3.953 | 27237.8 |
| 340 | 2023-12-02 06:26:02 | coarser | 3 | 134027 | 620 | 6.190 | 21652.2 |
| 339 | 2023-11-12 05:57:26 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 338 | 2023-11-11 10:59:28 | coarser | 1 | 69583 | 5 | 1.250 | 55666.4 |
| 337 | 2023-10-29 07:37:49 | coarser | 1 | 69583 | 5 | 1.096 | 63488.1 |
| 336 | 2023-10-27 18:22:08 | coarser | 3 | 134027 | 620 | 7.233 | 18529.9 |
| 335 | 2023-10-27 18:21:48 | coarser | 2 | 107671 | 56 | 3.250 | 33129.5 |
| 334 | 2023-10-19 20:26:16 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 333 | 2023-10-15 02:50:20 | coarser | 1 | 69583 | 5 | 1.300 | 53525.4 |
| 332 | 2023-10-12 07:50:21 | coarser | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 331 | 2023-10-08 13:46:52 | coarser | 1 | 69583 | 5 | 1.453 | 47889.2 |
| 330 | 2023-09-27 20:05:03 | coarser | 1 | 69583 | 5 | 2.640 | 26357.2 |
| 329 | 2023-09-26 01:01:16 | coarser | 1 | 69583 | 5 | 1.160 | 59985.3 |
| 328 | 2023-09-01 09:40:51 | coarser | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 327 | 2023-08-29 01:49:01 | coarser | 1 | 69583 | 5 | 1.220 | 57035.2 |
| 326 | 2023-08-08 14:19:53 | coarser | 1 | 69583 | 5 | 1.123 | 61961.7 |
| 325 | 2023-05-15 11:45:27 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 324 | 2023-05-07 21:09:46 | coarser | 1 | 69583 | 5 | 1.106 | 62914.1 |
| 323 | 2023-04-22 21:14:13 | coarser | 1 | 69583 | 5 | 1.296 | 53690.6 |
| 322 | 2023-03-19 03:24:28 | coarser | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 321 | 2023-03-04 19:15:35 | coarser | 1 | 69583 | 5 | 1.076 | 64668.2 |
| 320 | 2023-02-09 06:02:08 | coarser | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 319 | 2022-12-28 15:35:04 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 318 | 2022-10-19 04:15:17 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 317 | 2022-09-16 20:37:06 | coarser | 1 | 69583 | 5 | 1.096 | 63488.1 |
| 316 | 2022-06-28 23:50:01 | coarser | 1 | 69583 | 5 | 1.076 | 64668.2 |
| 315 | 2022-04-24 12:13:58 | coarser | 1 | 69583 | 5 | 1.096 | 63488.1 |
| 314 | 2022-03-09 00:19:11 | coarser | 1 | 69583 | 5 | 1.186 | 58670.3 |
| 313 | 2022-03-03 03:00:58 | coarser | 1 | 69583 | 5 | 1.266 | 54962.9 |
| 312 | 2022-01-18 01:15:54 | coarser | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 311 | 2021-11-28 15:02:36 | coarser | 1 | 69583 | 5 | 1.220 | 57035.2 |
| 310 | 2021-11-11 16:39:41 | coarser | 1 | 69583 | 5 | 1.373 | 50679.5 |
| 309 | 2021-09-27 05:41:03 | coarser | 1 | 69583 | 5 | 1.080 | 64428.7 |
| 308 | 2021-09-17 11:39:19 | coarser | 1 | 69583 | 5 | 1.143 | 60877.5 |
| 307 | 2021-09-07 21:36:36 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 306 | 2021-08-19 00:30:06 | coarser | 1 | 69583 | 5 | 1.173 | 59320.5 |
| 305 | 2021-05-18 07:32:41 | coarser | 1 | 69583 | 5 | 1.283 | 54234.6 |
| 304 | 2021-02-17 23:36:39 | coarser | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 303 | 2021-02-15 01:53:55 | coarser | 1 | 69583 | 5 | 1.250 | 55666.4 |
| 302 | 2020-12-11 15:18:12 | coarser | 1 | 69583 | 5 | 1.110 | 62687.4 |
| 301 | 2020-11-15 14:44:18 | coarser | 1 | 69583 | 5 | 1.093 | 63662.4 |
| 300 | 2020-10-30 14:27:36 | coarser | 1 | 69583 | 5 | 1.140 | 61037.7 |
| 299 | 2020-10-18 03:10:24 | coarser | 1 | 69583 | 5 | 1.126 | 61796.6 |
| 298 | 2020-10-18 03:08:42 | coarser | 1 | 69583 | 5 | 1.190 | 58473.1 |
| 297 | 2020-08-13 15:37:41 | coarser | 1 | 69583 | 5 | 1.106 | 62914.1 |
| 296 | 2020-08-10 16:43:44 | coarser | 1 | 69583 | 5 | 1.080 | 64428.7 |
| 295 | 2020-07-22 18:55:50 | coarser | 1 | 69583 | 5 | 1.156 | 60192.9 |
| 294 | 2020-07-17 04:17:28 | coarser | 1 | 69583 | 5 | 1.140 | 61037.7 |
| 293 | 2020-07-12 02:58:16 | coarser | 1 | 69583 | 5 | 1.203 | 57841.2 |
| 292 | 2020-05-09 11:30:27 | coarser | 1 | 69583 | 5 | 1.593 | 43680.5 |
| 291 | 2020-04-10 12:13:36 | coarser | 1 | 69583 | 5 | 1.250 | 55666.4 |
| 290 | 2020-04-03 09:10:33 | coarser | 1 | 69583 | 5 | 1.326 | 52475.9 |
| 289 | 2020-03-30 03:06:14 | coarser | 1 | 69583 | 5 | 1.360 | 51164.0 |
| 288 | 2020-03-29 22:02:14 | coarser | 1 | 69583 | 5 | 1.330 | 52318.0 |
| 287 | 2020-03-26 11:49:36 | coarser | 1 | 69583 | 5 | 3.156 | 22047.8 |
| 286 | 2020-03-23 12:38:23 | coarser | 1 | 69583 | 5 | 1.263 | 55093.4 |
| 285 | 2020-03-21 19:47:19 | coarser | 1 | 69583 | 5 | 1.220 | 57035.2 |
| 284 | 2020-03-01 03:10:28 | coarser | 1 | 69583 | 5 | 1.360 | 51164.0 |
| 283 | 2020-02-29 07:24:02 | coarser | 1 | 69583 | 5 | 1.453 | 47889.2 |
| 282 | 2020-02-17 21:08:44 | coarser | 1 | 69583 | 5 | 1.310 | 53116.8 |
| 281 | 2020-02-11 05:59:23 | coarser | 1 | 69583 | 5 | 1.360 | 51164.0 |
| 280 | 2020-02-08 15:15:37 | coarser | 1 | 69583 | 5 | 1.313 | 52995.4 |
| 279 | 2020-02-06 22:21:54 | coarser | 1 | 69583 | 5 | 1.343 | 51811.6 |
| 278 | 2020-02-03 18:28:05 | coarser | 1 | 69583 | 5 | 1.423 | 48898.8 |
| 277 | 2020-02-01 09:11:15 | coarser | 1 | 69583 | 5 | 4.610 | 15093.9 |
| 276 | 2020-01-31 01:22:53 | coarser | 1 | 69583 | 5 | 2.626 | 26497.7 |
| 275 | 2020-01-24 11:26:49 | coarser | 1 | 69583 | 5 | 2.390 | 29114.2 |
| 274 | 2020-01-24 07:47:05 | coarser | 1 | 69583 | 5 | 1.123 | 61961.7 |
| 273 | 2020-01-21 16:18:39 | coarser | 1 | 69583 | 5 | 2.610 | 26660.2 |
| 272 | 2020-01-16 20:11:44 | coarser | 1 | 69583 | 5 | 1.453 | 47889.2 |
| 271 | 2020-01-13 08:41:27 | coarser | 2 | 107671 | 56 | 3.623 | 29718.7 |
| 270 | 2020-01-13 03:32:31 | coarser | 1 | 69583 | 5 | 2.576 | 27012.0 |
| 269 | 2020-01-10 21:02:02 | coarser | 1 | 69583 | 5 | 1.330 | 52318.0 |
| 268 | 2019-12-31 14:41:10 | coarser | 1 | 69583 | 5 | 1.343 | 51811.6 |