History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"optimised"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 388 | 2025-12-18 15:19:23 | optimised | 2 | 121436 | 11 | 4.296 | 28267.2 |
| 387 | 2025-12-10 08:59:55 | optimised | 1 | 81242 | 4 | 1.576 | 51549.5 |
| 386 | 2025-11-28 16:39:17 | optimised | 3 | 148641 | 35 | 7.376 | 20152.0 |
| 385 | 2025-11-27 08:20:18 | optimised | 1 | 81242 | 4 | 2.796 | 29056.5 |
| 384 | 2025-11-26 11:13:45 | optimised | 1 | 81242 | 4 | 4.720 | 17212.3 |
| 383 | 2025-11-25 04:48:32 | optimised | 1 | 81242 | 4 | 1.500 | 54161.3 |
| 382 | 2025-11-03 22:30:27 | optimised | 2 | 121436 | 11 | 3.890 | 31217.5 |
| 381 | 2025-10-29 20:35:14 | optimised | 1 | 81242 | 4 | 1.250 | 64993.6 |
| 380 | 2025-10-28 02:33:25 | optimised | 1 | 81242 | 4 | 1.483 | 54782.2 |
| 379 | 2025-10-23 14:08:48 | optimised | 1 | 81242 | 4 | 5.890 | 13793.2 |
| 378 | 2025-10-21 17:36:45 | optimised | 1 | 81242 | 4 | 6.283 | 12930.4 |
| 377 | 2025-10-18 18:15:20 | optimised | 1 | 81242 | 4 | 1.966 | 41323.5 |
| 376 | 2025-10-18 18:14:55 | optimised | 1 | 81242 | 4 | 1.876 | 43306.0 |
| 375 | 2025-10-10 08:51:55 | optimised | 3 | 148641 | 35 | 7.360 | 20195.8 |
| 374 | 2025-10-08 04:47:12 | optimised | 1 | 81242 | 4 | 1.393 | 58321.6 |
| 373 | 2025-09-26 17:16:00 | optimised | 1 | 81242 | 4 | 1.250 | 64993.6 |
| 372 | 2025-09-23 10:22:24 | optimised | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 371 | 2025-09-22 07:46:47 | optimised | 3 | 148641 | 35 | 6.813 | 21817.3 |
| 370 | 2025-09-17 17:33:07 | optimised | 1 | 81242 | 4 | 1.266 | 64172.2 |
| 369 | 2025-09-08 12:39:26 | optimised | 1 | 81242 | 4 | 1.343 | 60492.9 |
| 368 | 2025-09-04 08:00:58 | optimised | 3 | 148641 | 35 | 7.890 | 18839.2 |
| 367 | 2025-08-28 16:15:27 | optimised | 3 | 148641 | 35 | 7.406 | 20070.3 |
| 366 | 2025-08-28 14:18:44 | optimised | 1 | 81242 | 4 | 1.486 | 54671.6 |
| 365 | 2025-08-22 20:01:01 | optimised | 3 | 148641 | 35 | 32.863 | 4523.1 |
| 364 | 2025-08-21 10:20:53 | optimised | 3 | 148641 | 35 | 34.093 | 4359.9 |
| 363 | 2025-08-19 21:57:57 | optimised | 1 | 81242 | 4 | 1.280 | 63470.3 |
| 362 | 2025-08-19 04:36:32 | optimised | 4 | 165329 | 250 | 33.330 | 4960.4 |
| 361 | 2025-08-17 15:48:41 | optimised | 3 | 148641 | 35 | 21.140 | 7031.3 |
| 360 | 2025-08-12 23:05:58 | optimised | 1 | 81242 | 4 | 3.063 | 26523.7 |
| 359 | 2025-08-12 13:25:07 | optimised | 3 | 148641 | 35 | 20.953 | 7094.0 |
| 358 | 2025-08-11 08:48:36 | optimised | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 357 | 2025-08-01 13:59:04 | optimised | 3 | 148641 | 35 | 31.390 | 4735.3 |
| 356 | 2025-08-01 12:23:50 | optimised | 1 | 81242 | 4 | 8.126 | 9997.8 |
| 355 | 2025-07-31 03:07:30 | optimised | 1 | 81242 | 4 | 1.280 | 63470.3 |
| 354 | 2025-07-28 05:01:05 | optimised | 4 | 165329 | 250 | 58.233 | 2839.1 |
| 353 | 2025-07-27 09:56:45 | optimised | 4 | 165329 | 250 | 30.990 | 5334.9 |
| 352 | 2025-07-27 02:38:08 | optimised | 4 | 165329 | 250 | 47.973 | 3446.3 |
| 351 | 2025-07-25 08:11:12 | optimised | 4 | 165329 | 250 | 37.706 | 4384.7 |
| 350 | 2025-07-24 16:40:31 | optimised | 4 | 165329 | 250 | 50.796 | 3254.8 |
| 349 | 2025-07-22 04:08:46 | optimised | 1 | 81242 | 4 | 1.393 | 58321.6 |
| 348 | 2025-07-20 20:58:34 | optimised | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 347 | 2025-07-19 21:33:55 | optimised | 4 | 165329 | 250 | 16.830 | 9823.5 |
| 346 | 2025-07-18 00:07:44 | optimised | 1 | 81242 | 4 | 4.173 | 19468.5 |
| 345 | 2025-07-17 04:17:30 | optimised | 1 | 81242 | 4 | 3.470 | 23412.7 |
| 344 | 2025-07-15 05:33:49 | optimised | 1 | 81242 | 4 | 6.686 | 12151.1 |
| 343 | 2025-07-07 18:40:09 | optimised | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 342 | 2025-07-06 04:55:57 | optimised | 1 | 81242 | 4 | 1.516 | 53589.7 |
| 341 | 2025-07-06 02:21:15 | optimised | 1 | 81242 | 4 | 1.453 | 55913.3 |
| 340 | 2025-07-05 19:12:03 | optimised | 1 | 81242 | 4 | 1.343 | 60492.9 |
| 339 | 2025-07-05 16:00:29 | optimised | 1 | 81242 | 4 | 7.606 | 10681.3 |
| 338 | 2025-07-04 21:35:28 | optimised | 3 | 148641 | 35 | 22.483 | 6611.3 |
| 337 | 2025-07-04 08:42:50 | optimised | 2 | 121436 | 11 | 3.063 | 39646.1 |
| 336 | 2025-07-02 11:37:54 | optimised | 1 | 81242 | 4 | 3.140 | 25873.2 |
| 335 | 2025-07-02 08:05:56 | optimised | 1 | 81242 | 4 | 9.250 | 8782.9 |
| 334 | 2025-07-01 21:22:55 | optimised | 2 | 121436 | 11 | 11.766 | 10320.9 |
| 333 | 2025-07-01 15:03:32 | optimised | 1 | 81242 | 4 | 1.360 | 59736.8 |
| 332 | 2025-06-27 12:45:44 | optimised | 1 | 81242 | 4 | 1.420 | 57212.7 |
| 331 | 2025-06-21 12:36:26 | optimised | 3 | 148641 | 35 | 36.596 | 4061.7 |
| 330 | 2025-06-16 12:22:01 | optimised | 3 | 148641 | 35 | 30.673 | 4846.0 |
| 329 | 2025-06-16 06:22:49 | optimised | 3 | 148641 | 35 | 38.830 | 3828.0 |
| 328 | 2025-06-15 02:39:42 | optimised | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 327 | 2025-06-14 04:05:58 | optimised | 1 | 81242 | 4 | 7.000 | 11606.0 |
| 326 | 2025-06-13 08:36:07 | optimised | 1 | 81242 | 4 | 1.343 | 60492.9 |
| 325 | 2025-05-26 21:38:38 | optimised | 1 | 81242 | 4 | 7.576 | 10723.6 |
| 324 | 2025-05-19 15:50:58 | optimised | 1 | 81242 | 4 | 3.280 | 24768.9 |
| 323 | 2025-05-19 12:37:00 | optimised | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 322 | 2025-05-18 09:40:12 | optimised | 2 | 121436 | 11 | 11.110 | 10930.3 |
| 321 | 2025-05-17 01:54:07 | optimised | 1 | 81242 | 4 | 6.720 | 12089.6 |
| 320 | 2025-05-11 18:23:19 | optimised | 3 | 148641 | 35 | 6.220 | 23897.3 |
| 319 | 2025-05-03 05:46:37 | optimised | 1 | 81242 | 4 | 7.250 | 11205.8 |
| 318 | 2025-05-02 10:38:58 | optimised | 1 | 81242 | 4 | 7.103 | 11437.7 |
| 317 | 2025-05-02 08:46:22 | optimised | 1 | 81242 | 4 | 3.470 | 23412.7 |
| 316 | 2025-04-26 00:59:16 | optimised | 2 | 121436 | 11 | 13.033 | 9317.6 |
| 315 | 2025-04-25 20:24:53 | optimised | 3 | 148641 | 35 | 38.656 | 3845.2 |
| 314 | 2025-04-24 07:32:58 | optimised | 4 | 165329 | 250 | 72.410 | 2283.2 |
| 313 | 2025-04-23 15:14:01 | optimised | 1 | 81242 | 4 | 8.720 | 9316.7 |
| 312 | 2025-04-21 07:49:00 | optimised | 4 | 165329 | 250 | 61.393 | 2693.0 |
| 311 | 2025-04-18 11:42:27 | optimised | 4 | 165329 | 250 | 66.096 | 2501.3 |
| 310 | 2025-04-17 08:49:39 | optimised | 3 | 148641 | 35 | 6.623 | 22443.2 |
| 309 | 2025-04-17 02:21:52 | optimised | 1 | 81242 | 4 | 1.410 | 57618.4 |
| 308 | 2025-04-14 01:47:00 | optimised | 1 | 81242 | 4 | 7.343 | 11063.9 |
| 307 | 2025-04-04 14:06:31 | optimised | 1 | 81242 | 4 | 6.453 | 12589.8 |
| 306 | 2025-03-31 07:22:05 | optimised | 1 | 81242 | 4 | 6.440 | 12615.2 |
| 305 | 2025-03-28 22:31:01 | optimised | 1 | 81242 | 4 | 6.436 | 12623.1 |
| 304 | 2025-03-23 17:14:41 | optimised | 1 | 81242 | 4 | 6.253 | 12992.5 |
| 303 | 2025-03-21 12:13:05 | optimised | 1 | 81242 | 4 | 5.080 | 15992.5 |
| 302 | 2025-03-19 20:43:41 | optimised | 3 | 148641 | 35 | 18.500 | 8034.6 |
| 301 | 2025-03-19 06:25:28 | optimised | 3 | 148641 | 35 | 12.203 | 12180.7 |
| 300 | 2025-03-16 06:20:14 | optimised | 1 | 81242 | 4 | 5.203 | 15614.5 |
| 299 | 2025-03-05 08:54:31 | optimised | 1 | 81242 | 4 | 9.750 | 8332.5 |
| 298 | 2025-03-04 10:35:14 | optimised | 4 | 165329 | 250 | 66.943 | 2469.7 |
| 297 | 2025-03-04 02:53:22 | optimised | 4 | 165329 | 250 | 57.550 | 2872.8 |
| 296 | 2025-03-03 23:53:06 | optimised | 4 | 165329 | 250 | 72.616 | 2276.8 |
| 295 | 2025-03-03 03:19:41 | optimised | 2 | 121436 | 11 | 72.880 | 1666.2 |
| 294 | 2025-03-03 02:19:58 | optimised | 1 | 81242 | 4 | 16.686 | 4868.9 |
| 293 | 2025-03-02 20:25:29 | optimised | 4 | 165329 | 250 | 11.173 | 14797.2 |
| 292 | 2025-02-27 01:42:07 | optimised | 3 | 148641 | 35 | 17.516 | 8486.0 |
| 291 | 2025-02-22 04:57:37 | optimised | 3 | 148641 | 35 | 55.100 | 2697.7 |
| 290 | 2025-02-22 04:57:29 | optimised | 3 | 148641 | 35 | 40.756 | 3647.1 |
| 289 | 2025-02-22 04:57:35 | optimised | 2 | 121436 | 11 | 16.486 | 7366.0 |