History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"overlearns"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 396 | 2025-10-30 12:34:10 | overlearns | 1 | 67641 | 3 | 1.096 | 61716.2 |
| 395 | 2025-10-27 05:11:44 | overlearns | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 394 | 2025-10-24 20:26:40 | overlearns | 1 | 67641 | 3 | 5.343 | 12659.7 |
| 393 | 2025-09-09 05:32:58 | overlearns | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 392 | 2025-08-27 10:57:05 | overlearns | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 391 | 2025-08-24 22:14:20 | overlearns | 4 | 161450 | 286 | 28.500 | 5664.9 |
| 390 | 2025-08-22 17:41:09 | overlearns | 4 | 161450 | 286 | 25.923 | 6228.1 |
| 389 | 2025-08-19 10:20:41 | overlearns | 2 | 108824 | 11 | 22.266 | 4887.5 |
| 388 | 2025-08-19 06:03:26 | overlearns | 2 | 108824 | 11 | 15.970 | 6814.3 |
| 387 | 2025-08-18 22:49:37 | overlearns | 3 | 140603 | 69 | 17.470 | 8048.3 |
| 386 | 2025-08-18 22:07:51 | overlearns | 4 | 161450 | 286 | 36.766 | 4391.3 |
| 385 | 2025-08-17 20:16:37 | overlearns | 1 | 67641 | 3 | 5.006 | 13512.0 |
| 384 | 2025-08-16 20:43:27 | overlearns | 4 | 161450 | 286 | 41.160 | 3922.5 |
| 383 | 2025-08-16 19:24:52 | overlearns | 3 | 140603 | 69 | 24.580 | 5720.2 |
| 382 | 2025-08-16 19:22:53 | overlearns | 2 | 108824 | 11 | 22.080 | 4928.6 |
| 381 | 2025-08-13 01:38:35 | overlearns | 1 | 67641 | 3 | 5.486 | 12329.7 |
| 380 | 2025-08-09 11:13:36 | overlearns | 1 | 67641 | 3 | 3.610 | 18737.1 |
| 379 | 2025-08-01 07:26:51 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 378 | 2025-07-26 19:40:06 | overlearns | 3 | 140603 | 69 | 17.500 | 8034.5 |
| 377 | 2025-07-26 15:05:02 | overlearns | 3 | 140603 | 69 | 30.080 | 4674.3 |
| 376 | 2025-07-26 14:08:51 | overlearns | 2 | 108824 | 11 | 3.906 | 27860.7 |
| 375 | 2025-07-23 03:08:00 | overlearns | 1 | 67641 | 3 | 3.513 | 19254.5 |
| 374 | 2025-07-18 23:44:47 | overlearns | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 373 | 2025-07-11 04:45:49 | overlearns | 1 | 67641 | 3 | 5.686 | 11896.1 |
| 372 | 2025-07-02 06:47:00 | overlearns | 1 | 67641 | 3 | 6.970 | 9704.6 |
| 371 | 2025-06-22 04:14:40 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 370 | 2025-06-19 00:28:39 | overlearns | 2 | 108824 | 11 | 15.126 | 7194.5 |
| 369 | 2025-06-16 11:54:51 | overlearns | 1 | 67641 | 3 | 7.233 | 9351.7 |
| 368 | 2025-06-14 01:52:45 | overlearns | 2 | 108824 | 11 | 22.263 | 4888.1 |
| 367 | 2025-06-13 22:57:22 | overlearns | 3 | 140603 | 69 | 46.040 | 3053.9 |
| 366 | 2025-06-13 13:47:14 | overlearns | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 365 | 2025-06-04 20:34:13 | overlearns | 1 | 67641 | 3 | 3.313 | 20416.8 |
| 364 | 2025-05-31 14:15:02 | overlearns | 1 | 67641 | 3 | 3.063 | 22083.3 |
| 363 | 2025-05-31 04:09:36 | overlearns | 1 | 67641 | 3 | 8.296 | 8153.4 |
| 362 | 2025-05-30 09:39:22 | overlearns | 1 | 67641 | 3 | 2.606 | 25955.9 |
| 361 | 2025-05-29 05:29:19 | overlearns | 1 | 67641 | 3 | 5.190 | 13032.9 |
| 360 | 2025-05-27 14:42:36 | overlearns | 1 | 67641 | 3 | 8.283 | 8166.2 |
| 359 | 2025-05-22 15:23:12 | overlearns | 4 | 161450 | 286 | 47.596 | 3392.1 |
| 358 | 2025-05-17 12:58:20 | overlearns | 4 | 161450 | 286 | 65.363 | 2470.1 |
| 357 | 2025-05-16 10:12:06 | overlearns | 1 | 67641 | 3 | 7.893 | 8569.7 |
| 356 | 2025-05-14 21:36:17 | overlearns | 4 | 161450 | 286 | 67.876 | 2378.6 |
| 355 | 2025-05-10 02:46:54 | overlearns | 4 | 161450 | 286 | 45.706 | 3532.4 |
| 354 | 2025-05-10 02:46:28 | overlearns | 4 | 161450 | 286 | 70.566 | 2287.9 |
| 353 | 2025-05-08 14:56:39 | overlearns | 1 | 67641 | 3 | 5.843 | 11576.4 |
| 352 | 2025-05-03 01:09:20 | overlearns | 1 | 67641 | 3 | 5.313 | 12731.2 |
| 351 | 2025-04-29 05:53:44 | overlearns | 3 | 140603 | 69 | 25.203 | 5578.8 |
| 350 | 2025-04-26 06:41:30 | overlearns | 1 | 67641 | 3 | 8.140 | 8309.7 |
| 349 | 2025-04-25 09:08:40 | overlearns | 3 | 140603 | 69 | 11.733 | 11983.6 |
| 348 | 2025-04-24 08:55:58 | overlearns | 3 | 140603 | 69 | 30.940 | 4544.4 |
| 347 | 2025-04-22 05:05:26 | overlearns | 4 | 161450 | 286 | 17.033 | 9478.7 |
| 346 | 2025-04-16 15:38:29 | overlearns | 4 | 161450 | 286 | 42.046 | 3839.8 |
| 345 | 2025-04-14 16:55:44 | overlearns | 1 | 67641 | 3 | 5.453 | 12404.4 |
| 344 | 2025-04-12 16:45:44 | overlearns | 2 | 108824 | 11 | 3.060 | 35563.4 |
| 343 | 2025-04-06 11:19:13 | overlearns | 1 | 67641 | 3 | 8.216 | 8232.8 |
| 342 | 2025-04-06 06:33:53 | overlearns | 1 | 67641 | 3 | 8.203 | 8245.9 |
| 341 | 2025-04-03 21:03:38 | overlearns | 4 | 161450 | 286 | 67.156 | 2404.1 |
| 340 | 2025-04-02 10:25:08 | overlearns | 2 | 108824 | 11 | 10.343 | 10521.5 |
| 339 | 2025-03-31 21:13:47 | overlearns | 1 | 67641 | 3 | 5.456 | 12397.5 |
| 338 | 2025-03-30 15:48:08 | overlearns | 1 | 67641 | 3 | 5.186 | 13043.0 |
| 337 | 2025-03-30 15:27:44 | overlearns | 2 | 108824 | 11 | 3.313 | 32847.6 |
| 336 | 2025-03-28 22:59:56 | overlearns | 4 | 161450 | 286 | 62.876 | 2567.8 |
| 335 | 2025-03-28 18:54:59 | overlearns | 3 | 140603 | 69 | 6.986 | 20126.4 |
| 334 | 2025-03-25 23:02:33 | overlearns | 4 | 161450 | 286 | 45.690 | 3533.6 |
| 333 | 2025-03-24 11:16:13 | overlearns | 3 | 140603 | 69 | 20.436 | 6880.2 |
| 332 | 2025-03-21 19:48:14 | overlearns | 1 | 67641 | 3 | 6.186 | 10934.5 |
| 331 | 2025-03-14 01:30:38 | overlearns | 3 | 140603 | 69 | 32.863 | 4278.5 |
| 330 | 2025-03-14 01:30:33 | overlearns | 2 | 108824 | 11 | 12.906 | 8432.0 |
| 329 | 2025-03-14 01:25:57 | overlearns | 1 | 67641 | 3 | 2.703 | 25024.4 |
| 328 | 2025-03-12 09:15:35 | overlearns | 4 | 161450 | 286 | 71.253 | 2265.9 |
| 327 | 2025-03-12 07:58:52 | overlearns | 4 | 161450 | 286 | 34.016 | 4746.3 |
| 326 | 2025-03-08 16:33:07 | overlearns | 4 | 161450 | 286 | 25.860 | 6243.2 |
| 325 | 2025-03-07 23:16:24 | overlearns | 3 | 140603 | 69 | 23.910 | 5880.5 |
| 324 | 2025-02-28 06:32:50 | overlearns | 3 | 140603 | 69 | 34.520 | 4073.1 |
| 323 | 2025-02-26 14:52:12 | overlearns | 1 | 67641 | 3 | 2.686 | 25182.8 |
| 322 | 2025-02-24 15:45:14 | overlearns | 3 | 140603 | 69 | 30.253 | 4647.6 |
| 321 | 2025-02-24 12:37:58 | overlearns | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 320 | 2025-02-22 10:42:06 | overlearns | 3 | 140603 | 69 | 33.860 | 4152.5 |
| 319 | 2025-02-20 08:56:02 | overlearns | 3 | 140603 | 69 | 39.206 | 3586.3 |
| 318 | 2025-02-20 08:56:03 | overlearns | 2 | 108824 | 11 | 15.576 | 6986.6 |
| 317 | 2025-02-20 08:50:48 | overlearns | 1 | 67641 | 3 | 6.783 | 9972.1 |
| 316 | 2025-02-20 04:54:32 | overlearns | 4 | 161450 | 286 | 70.336 | 2295.4 |
| 315 | 2025-02-19 11:21:24 | overlearns | 4 | 161450 | 286 | 59.300 | 2722.6 |
| 314 | 2025-02-01 10:47:55 | overlearns | 1 | 67641 | 3 | 7.766 | 8709.9 |
| 313 | 2025-01-27 08:48:56 | overlearns | 4 | 161450 | 286 | 41.173 | 3921.3 |
| 312 | 2025-01-22 12:17:05 | overlearns | 1 | 67641 | 3 | 2.906 | 23276.3 |
| 311 | 2025-01-21 04:27:01 | overlearns | 2 | 108824 | 11 | 12.846 | 8471.4 |
| 310 | 2025-01-20 22:54:52 | overlearns | 3 | 140603 | 69 | 28.156 | 4993.7 |
| 309 | 2025-01-20 15:58:07 | overlearns | 3 | 140603 | 69 | 32.063 | 4385.2 |
| 308 | 2025-01-20 04:12:25 | overlearns | 3 | 140603 | 69 | 48.033 | 2927.2 |
| 307 | 2025-01-20 03:54:49 | overlearns | 4 | 161450 | 286 | 73.643 | 2192.3 |
| 306 | 2025-01-19 19:51:06 | overlearns | 4 | 161450 | 286 | 51.393 | 3141.5 |
| 305 | 2025-01-19 19:51:06 | overlearns | 3 | 140603 | 69 | 27.313 | 5147.8 |
| 304 | 2025-01-19 19:51:07 | overlearns | 2 | 108824 | 11 | 15.406 | 7063.7 |
| 303 | 2025-01-19 19:50:30 | overlearns | 1 | 67641 | 3 | 5.360 | 12619.6 |
| 302 | 2025-01-15 09:31:32 | overlearns | 1 | 67641 | 3 | 2.436 | 27767.2 |
| 301 | 2024-12-29 23:27:05 | overlearns | 1 | 67641 | 3 | 5.310 | 12738.4 |
| 300 | 2024-12-27 00:34:19 | overlearns | 2 | 108824 | 11 | 14.143 | 7694.5 |
| 299 | 2024-12-27 00:30:03 | overlearns | 1 | 67641 | 3 | 5.470 | 12365.8 |
| 298 | 2024-12-27 00:26:59 | overlearns | 4 | 161450 | 286 | 62.523 | 2582.2 |
| 297 | 2024-12-26 16:47:52 | overlearns | 4 | 161450 | 286 | 10.610 | 15216.8 |