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 |
| 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 |
| 291 | 2025-06-09 22:09:24 | worktable | 1 | 81242 | 3 | 3.343 | 24302.1 |
| 290 | 2025-06-09 01:56:56 | worktable | 1 | 81242 | 3 | 1.233 | 65889.7 |
| 289 | 2025-06-06 05:41:54 | worktable | 1 | 81242 | 3 | 6.846 | 11867.1 |
| 288 | 2025-06-05 10:21:10 | worktable | 3 | 148641 | 57 | 40.816 | 3641.7 |
| 287 | 2025-06-04 07:15:29 | worktable | 1 | 81242 | 3 | 4.486 | 18110.1 |
| 286 | 2025-05-31 18:23:55 | worktable | 1 | 81242 | 3 | 6.453 | 12589.8 |
| 285 | 2025-05-30 04:08:25 | worktable | 2 | 121436 | 7 | 3.640 | 33361.5 |
| 284 | 2025-05-28 12:24:36 | worktable | 1 | 81242 | 3 | 9.843 | 8253.8 |
| 283 | 2025-05-28 10:40:04 | worktable | 3 | 148641 | 57 | 7.156 | 20771.5 |
| 282 | 2025-05-26 14:06:39 | worktable | 3 | 148641 | 57 | 23.436 | 6342.4 |
| 281 | 2025-05-26 05:12:33 | worktable | 1 | 81242 | 3 | 6.156 | 13197.2 |
| 280 | 2025-05-25 22:38:43 | worktable | 3 | 148641 | 57 | 33.373 | 4453.9 |
| 279 | 2025-05-24 09:26:06 | worktable | 3 | 148641 | 57 | 38.643 | 3846.5 |
| 278 | 2025-05-13 14:42:31 | worktable | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 277 | 2025-05-11 17:46:50 | worktable | 1 | 81242 | 3 | 1.376 | 59042.2 |
| 276 | 2025-05-10 18:41:49 | worktable | 3 | 148641 | 57 | 26.940 | 5517.5 |
| 275 | 2025-05-09 03:39:02 | worktable | 3 | 148641 | 57 | 6.716 | 22132.4 |
| 274 | 2025-05-02 06:58:47 | worktable | 1 | 81242 | 3 | 9.030 | 8996.9 |
| 273 | 2025-05-01 00:20:36 | worktable | 1 | 81242 | 3 | 8.330 | 9752.9 |
| 272 | 2025-04-27 21:25:59 | worktable | 1 | 81242 | 3 | 6.156 | 13197.2 |
| 271 | 2025-04-25 03:49:28 | worktable | 1 | 81242 | 3 | 2.780 | 29223.7 |
| 270 | 2025-04-12 21:41:38 | worktable | 1 | 81242 | 3 | 5.563 | 14604.0 |
| 269 | 2025-04-06 13:29:03 | worktable | 1 | 81242 | 3 | 3.376 | 24064.6 |
| 268 | 2025-03-27 03:47:13 | worktable | 2 | 121436 | 7 | 24.360 | 4985.1 |
| 267 | 2025-03-26 08:39:09 | worktable | 1 | 81242 | 3 | 5.720 | 14203.1 |
| 266 | 2025-03-25 17:21:01 | worktable | 3 | 148641 | 57 | 42.953 | 3460.5 |
| 265 | 2025-03-24 14:00:27 | worktable | 3 | 148641 | 57 | 29.426 | 5051.3 |
| 264 | 2025-03-22 13:49:21 | worktable | 2 | 121436 | 7 | 7.763 | 15642.9 |
| 263 | 2025-03-22 05:13:30 | worktable | 1 | 81242 | 3 | 1.156 | 70278.5 |
| 262 | 2025-03-22 04:07:18 | worktable | 3 | 148641 | 57 | 16.706 | 8897.5 |
| 261 | 2025-03-21 22:36:31 | worktable | 3 | 148641 | 57 | 34.706 | 4282.9 |
| 260 | 2025-03-20 21:51:14 | worktable | 1 | 81242 | 3 | 7.373 | 11018.9 |
| 259 | 2025-03-14 18:29:46 | worktable | 1 | 81242 | 3 | 1.203 | 67532.8 |