History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"worktable"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 391 | 2026-01-15 12:46:21 | worktable | 4 | 165329 | 407 | 12.466 | 13262.4 |
| 390 | 2026-01-14 16:44:50 | worktable | 3 | 148641 | 57 | 8.470 | 17549.1 |
| 389 | 2026-01-13 08:13:57 | worktable | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 388 | 2026-01-13 04:41:19 | worktable | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 387 | 2026-01-12 04:51:29 | worktable | 2 | 121436 | 7 | 7.343 | 16537.7 |
| 386 | 2026-01-11 19:02:38 | worktable | 1 | 81242 | 3 | 2.093 | 38816.1 |
| 385 | 2026-01-11 05:51:38 | worktable | 4 | 165329 | 407 | 11.936 | 13851.3 |
| 384 | 2026-01-11 00:31:16 | worktable | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 383 | 2026-01-09 21:10:36 | worktable | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 382 | 2026-01-06 14:11:18 | worktable | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 381 | 2026-01-01 03:29:57 | worktable | 3 | 148641 | 57 | 7.000 | 21234.4 |
| 380 | 2025-12-30 09:46:18 | worktable | 3 | 148641 | 57 | 7.140 | 20818.1 |
| 379 | 2025-12-29 19:53:20 | worktable | 1 | 81242 | 3 | 1.440 | 56418.1 |
| 378 | 2025-12-29 18:22:37 | worktable | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 377 | 2025-12-22 19:37:23 | worktable | 1 | 81242 | 3 | 1.313 | 61875.1 |
| 376 | 2025-12-16 19:49:40 | worktable | 1 | 81242 | 3 | 4.546 | 17871.1 |
| 375 | 2025-12-15 00:08:41 | worktable | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 374 | 2025-12-14 19:29:49 | worktable | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 373 | 2025-12-06 23:17:31 | worktable | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 372 | 2025-12-01 19:16:17 | worktable | 3 | 148641 | 57 | 7.373 | 20160.2 |
| 371 | 2025-11-29 01:59:15 | worktable | 4 | 165329 | 407 | 12.360 | 13376.1 |
| 370 | 2025-11-28 23:10:42 | worktable | 1 | 81242 | 3 | 2.906 | 27956.6 |
| 369 | 2025-11-28 06:19:52 | worktable | 1 | 81242 | 3 | 1.313 | 61875.1 |
| 368 | 2025-11-26 00:28:51 | worktable | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 367 | 2025-11-25 21:35:21 | worktable | 1 | 81242 | 3 | 1.376 | 59042.2 |
| 366 | 2025-11-25 20:07:42 | worktable | 1 | 81242 | 3 | 1.530 | 53099.3 |
| 365 | 2025-11-23 01:57:15 | worktable | 4 | 165329 | 407 | 12.580 | 13142.2 |
| 364 | 2025-11-22 08:05:53 | worktable | 1 | 81242 | 3 | 3.266 | 24875.1 |
| 363 | 2025-11-15 01:02:05 | worktable | 2 | 121436 | 7 | 3.470 | 34996.0 |
| 362 | 2025-11-14 07:55:16 | worktable | 1 | 81242 | 3 | 1.376 | 59042.2 |
| 361 | 2025-11-14 06:06:12 | worktable | 4 | 165329 | 407 | 10.626 | 15558.9 |
| 360 | 2025-11-13 11:47:10 | worktable | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 359 | 2025-11-13 08:42:20 | worktable | 3 | 148641 | 57 | 7.330 | 20278.4 |
| 358 | 2025-11-12 04:35:45 | worktable | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 357 | 2025-11-10 07:56:56 | worktable | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 356 | 2025-11-07 12:55:07 | worktable | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 355 | 2025-10-31 09:00:06 | worktable | 4 | 165329 | 407 | 12.156 | 13600.6 |
| 354 | 2025-10-31 08:35:57 | worktable | 4 | 165329 | 407 | 19.846 | 8330.6 |
| 353 | 2025-10-31 07:10:58 | worktable | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 352 | 2025-10-30 23:56:02 | worktable | 4 | 165329 | 407 | 11.360 | 14553.6 |
| 351 | 2025-10-30 13:12:15 | worktable | 4 | 165329 | 407 | 13.763 | 12012.6 |
| 350 | 2025-10-28 20:12:22 | worktable | 4 | 165329 | 407 | 12.783 | 12933.5 |
| 349 | 2025-10-25 19:55:18 | worktable | 1 | 81242 | 3 | 1.236 | 65729.8 |
| 348 | 2025-10-19 08:25:45 | worktable | 1 | 81242 | 3 | 1.326 | 61268.5 |
| 347 | 2025-10-16 21:38:14 | worktable | 3 | 148641 | 57 | 7.263 | 20465.5 |
| 346 | 2025-10-13 03:55:00 | worktable | 1 | 81242 | 3 | 1.376 | 59042.2 |
| 345 | 2025-10-12 09:38:44 | worktable | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 344 | 2025-10-12 04:10:21 | worktable | 1 | 81242 | 3 | 1.263 | 64324.6 |
| 343 | 2025-10-11 12:14:38 | worktable | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 342 | 2025-10-07 20:37:44 | worktable | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 341 | 2025-10-04 09:29:28 | worktable | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 340 | 2025-09-28 13:38:24 | worktable | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 339 | 2025-09-28 06:48:56 | worktable | 4 | 165329 | 407 | 11.046 | 14967.3 |
| 338 | 2025-09-21 11:31:53 | worktable | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 337 | 2025-09-19 07:00:42 | worktable | 1 | 81242 | 3 | 1.936 | 41963.8 |
| 336 | 2025-09-16 11:18:44 | worktable | 2 | 121436 | 7 | 3.516 | 34538.1 |
| 335 | 2025-09-13 23:56:48 | worktable | 4 | 165329 | 407 | 12.140 | 13618.5 |
| 334 | 2025-09-12 03:53:52 | worktable | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 333 | 2025-09-11 21:53:56 | worktable | 1 | 81242 | 3 | 2.406 | 33766.4 |
| 332 | 2025-09-11 19:01:23 | worktable | 4 | 165329 | 407 | 13.126 | 12595.5 |
| 331 | 2025-09-10 12:01:56 | worktable | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 330 | 2025-09-09 23:33:16 | worktable | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 329 | 2025-09-09 16:56:40 | worktable | 3 | 148641 | 57 | 6.856 | 21680.4 |
| 328 | 2025-09-09 03:01:24 | worktable | 1 | 81242 | 3 | 1.216 | 66810.9 |
| 327 | 2025-09-07 14:35:09 | worktable | 3 | 148641 | 57 | 7.580 | 19609.6 |
| 326 | 2025-09-07 10:00:53 | worktable | 4 | 165329 | 407 | 11.110 | 14881.1 |
| 325 | 2025-09-06 15:38:59 | worktable | 1 | 81242 | 3 | 1.280 | 63470.3 |
| 324 | 2025-09-05 15:56:25 | worktable | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 323 | 2025-09-04 22:50:22 | worktable | 1 | 81242 | 3 | 1.250 | 64993.6 |
| 322 | 2025-09-04 17:13:31 | worktable | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 321 | 2025-09-01 12:22:51 | worktable | 4 | 165329 | 407 | 12.110 | 13652.3 |
| 320 | 2025-09-01 09:38:00 | worktable | 4 | 165329 | 407 | 11.483 | 14397.7 |
| 319 | 2025-08-31 14:49:23 | worktable | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 318 | 2025-08-31 14:10:14 | worktable | 4 | 165329 | 407 | 11.500 | 14376.4 |
| 317 | 2025-08-28 21:34:24 | worktable | 1 | 81242 | 3 | 1.220 | 66591.8 |
| 316 | 2025-08-28 13:37:55 | worktable | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 315 | 2025-08-26 19:15:21 | worktable | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 314 | 2025-08-26 17:42:52 | worktable | 2 | 121436 | 7 | 3.466 | 35036.4 |
| 313 | 2025-08-19 07:31:26 | worktable | 1 | 81242 | 3 | 6.153 | 13203.6 |
| 312 | 2025-08-14 03:08:40 | worktable | 3 | 148641 | 57 | 16.936 | 8776.6 |
| 311 | 2025-08-13 12:40:22 | worktable | 2 | 121436 | 7 | 17.473 | 6949.9 |
| 310 | 2025-08-13 11:20:12 | worktable | 3 | 148641 | 57 | 32.596 | 4560.1 |
| 309 | 2025-08-09 05:26:12 | worktable | 1 | 81242 | 3 | 7.360 | 11038.3 |
| 308 | 2025-08-08 20:45:44 | worktable | 1 | 81242 | 3 | 3.016 | 26937.0 |
| 307 | 2025-08-02 11:28:38 | worktable | 1 | 81242 | 3 | 9.920 | 8189.7 |
| 306 | 2025-07-31 15:07:44 | worktable | 1 | 81242 | 3 | 4.796 | 16939.5 |
| 305 | 2025-07-27 15:13:03 | worktable | 2 | 121436 | 7 | 6.720 | 18070.8 |
| 304 | 2025-07-18 01:30:22 | worktable | 1 | 81242 | 3 | 4.376 | 18565.4 |
| 303 | 2025-07-13 02:59:06 | worktable | 1 | 81242 | 3 | 9.453 | 8594.3 |
| 302 | 2025-07-12 17:45:55 | worktable | 3 | 148641 | 57 | 6.406 | 23203.4 |
| 301 | 2025-07-12 04:14:58 | worktable | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 300 | 2025-07-10 01:07:09 | worktable | 1 | 81242 | 3 | 5.000 | 16248.4 |
| 299 | 2025-07-08 17:48:29 | worktable | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 298 | 2025-07-07 22:36:37 | worktable | 1 | 81242 | 3 | 3.483 | 23325.3 |
| 297 | 2025-07-07 04:22:34 | worktable | 1 | 81242 | 3 | 3.596 | 22592.3 |
| 296 | 2025-06-29 10:32:23 | worktable | 1 | 81242 | 3 | 1.203 | 67532.8 |
| 295 | 2025-06-24 17:11:28 | worktable | 3 | 148641 | 57 | 24.110 | 6165.1 |
| 294 | 2025-06-24 13:20:34 | worktable | 1 | 81242 | 3 | 4.563 | 17804.5 |
| 293 | 2025-06-19 13:11:18 | worktable | 3 | 148641 | 57 | 30.156 | 4929.1 |
| 292 | 2025-06-16 13:45:32 | worktable | 1 | 81242 | 3 | 3.610 | 22504.7 |