History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"predicable"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 426 | 2025-10-19 07:29:14 | predicable | 4 | 161450 | 279 | 11.576 | 13947.0 |
| 425 | 2025-10-18 23:46:57 | predicable | 2 | 108824 | 9 | 3.296 | 33017.0 |
| 424 | 2025-10-17 18:41:02 | predicable | 1 | 67641 | 3 | 2.356 | 28710.1 |
| 423 | 2025-10-12 11:34:46 | predicable | 1 | 67641 | 3 | 2.563 | 26391.3 |
| 422 | 2025-10-07 17:31:49 | predicable | 1 | 67641 | 3 | 1.076 | 62863.4 |
| 421 | 2025-09-18 11:16:21 | predicable | 2 | 108824 | 9 | 3.123 | 34846.0 |
| 420 | 2025-09-14 03:35:58 | predicable | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 419 | 2025-09-12 09:14:10 | predicable | 2 | 108824 | 9 | 3.016 | 36082.2 |
| 418 | 2025-09-09 08:20:52 | predicable | 1 | 67641 | 3 | 1.236 | 54725.7 |
| 417 | 2025-09-06 04:11:52 | predicable | 3 | 140603 | 49 | 6.143 | 22888.3 |
| 416 | 2025-08-31 13:38:09 | predicable | 3 | 140603 | 49 | 7.966 | 17650.4 |
| 415 | 2025-08-21 10:10:02 | predicable | 1 | 67641 | 3 | 4.310 | 15694.0 |
| 414 | 2025-08-21 05:42:58 | predicable | 1 | 67641 | 3 | 2.810 | 24071.5 |
| 413 | 2025-08-09 21:36:54 | predicable | 1 | 67641 | 3 | 2.656 | 25467.2 |
| 412 | 2025-08-05 20:40:16 | predicable | 1 | 67641 | 3 | 2.736 | 24722.6 |
| 411 | 2025-08-02 01:13:24 | predicable | 4 | 161450 | 279 | 50.553 | 3193.7 |
| 410 | 2025-08-01 01:44:07 | predicable | 1 | 67641 | 3 | 3.046 | 22206.5 |
| 409 | 2025-07-28 03:26:48 | predicable | 4 | 161450 | 279 | 33.970 | 4752.7 |
| 408 | 2025-07-26 19:09:46 | predicable | 1 | 67641 | 3 | 8.140 | 8309.7 |
| 407 | 2025-07-24 22:00:58 | predicable | 1 | 67641 | 3 | 2.640 | 25621.6 |
| 406 | 2025-07-23 06:44:51 | predicable | 4 | 161450 | 279 | 46.753 | 3453.3 |
| 405 | 2025-07-22 19:03:16 | predicable | 1 | 67641 | 3 | 3.563 | 18984.3 |
| 404 | 2025-07-19 07:17:44 | predicable | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 403 | 2025-07-17 14:11:48 | predicable | 4 | 161450 | 279 | 45.550 | 3544.5 |
| 402 | 2025-07-17 07:19:47 | predicable | 4 | 161450 | 279 | 49.253 | 3278.0 |
| 401 | 2025-07-13 20:58:36 | predicable | 4 | 161450 | 279 | 68.676 | 2350.9 |
| 400 | 2025-07-12 18:51:55 | predicable | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 399 | 2025-07-11 16:27:26 | predicable | 3 | 140603 | 49 | 25.830 | 5443.4 |
| 398 | 2025-07-08 20:03:52 | predicable | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 397 | 2025-07-08 03:16:18 | predicable | 3 | 140603 | 49 | 34.093 | 4124.1 |
| 396 | 2025-07-07 09:29:43 | predicable | 1 | 67641 | 3 | 5.626 | 12022.9 |
| 395 | 2025-07-06 23:42:36 | predicable | 1 | 67641 | 3 | 3.110 | 21749.5 |
| 394 | 2025-07-02 02:45:26 | predicable | 3 | 140603 | 49 | 19.220 | 7315.5 |
| 393 | 2025-07-01 21:17:18 | predicable | 1 | 67641 | 3 | 5.720 | 11825.3 |
| 392 | 2025-06-30 06:00:54 | predicable | 3 | 140603 | 49 | 23.000 | 6113.2 |
| 391 | 2025-06-29 00:25:52 | predicable | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 390 | 2025-06-20 13:13:39 | predicable | 1 | 67641 | 3 | 2.110 | 32057.3 |
| 389 | 2025-06-15 10:52:35 | predicable | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 388 | 2025-06-14 20:18:35 | predicable | 1 | 67641 | 3 | 2.453 | 27574.8 |
| 387 | 2025-06-14 12:52:41 | predicable | 1 | 67641 | 3 | 2.920 | 23164.7 |
| 386 | 2025-06-13 18:28:37 | predicable | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 385 | 2025-06-10 19:00:45 | predicable | 1 | 67641 | 3 | 6.970 | 9704.6 |
| 384 | 2025-06-10 13:08:39 | predicable | 1 | 67641 | 3 | 6.280 | 10770.9 |
| 383 | 2025-05-30 12:58:08 | predicable | 1 | 67641 | 3 | 6.330 | 10685.8 |
| 382 | 2025-05-30 01:45:59 | predicable | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 381 | 2025-05-29 00:55:01 | predicable | 1 | 67641 | 3 | 2.673 | 25305.3 |
| 380 | 2025-05-24 01:00:18 | predicable | 1 | 67641 | 3 | 5.966 | 11337.7 |
| 379 | 2025-05-19 14:45:04 | predicable | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 378 | 2025-05-19 01:47:06 | predicable | 3 | 140603 | 49 | 29.300 | 4798.7 |
| 377 | 2025-05-14 09:21:40 | predicable | 1 | 67641 | 3 | 8.606 | 7859.7 |
| 376 | 2025-05-13 19:22:01 | predicable | 3 | 140603 | 49 | 6.300 | 22317.9 |
| 375 | 2025-05-12 14:34:16 | predicable | 3 | 140603 | 49 | 30.113 | 4669.2 |
| 374 | 2025-05-12 05:23:16 | predicable | 3 | 140603 | 49 | 49.630 | 2833.0 |
| 373 | 2025-05-06 21:36:00 | predicable | 1 | 67641 | 3 | 1.216 | 55625.8 |
| 372 | 2025-05-04 13:05:28 | predicable | 1 | 67641 | 3 | 3.016 | 22427.4 |
| 371 | 2025-04-23 20:28:28 | predicable | 3 | 140603 | 49 | 39.146 | 3591.8 |
| 370 | 2025-04-22 19:05:42 | predicable | 1 | 67641 | 3 | 2.590 | 26116.2 |
| 369 | 2025-04-21 03:58:11 | predicable | 3 | 140603 | 49 | 26.343 | 5337.4 |
| 368 | 2025-04-10 21:06:37 | predicable | 1 | 67641 | 3 | 3.300 | 20497.3 |
| 367 | 2025-04-06 09:01:43 | predicable | 1 | 67641 | 3 | 8.080 | 8371.4 |
| 366 | 2025-03-27 12:15:02 | predicable | 1 | 67641 | 3 | 6.546 | 10333.2 |
| 365 | 2025-03-26 16:23:49 | predicable | 3 | 140603 | 49 | 33.673 | 4175.5 |
| 364 | 2025-03-26 11:33:21 | predicable | 4 | 161450 | 279 | 69.113 | 2336.0 |
| 363 | 2025-03-25 15:33:08 | predicable | 4 | 161450 | 279 | 39.796 | 4056.9 |
| 362 | 2025-03-25 12:11:00 | predicable | 2 | 108824 | 9 | 24.843 | 4380.5 |
| 361 | 2025-03-25 07:17:58 | predicable | 4 | 161450 | 279 | 59.973 | 2692.0 |
| 360 | 2025-03-25 06:42:15 | predicable | 4 | 161450 | 279 | 40.080 | 4028.2 |
| 359 | 2025-03-24 01:57:49 | predicable | 3 | 140603 | 49 | 6.390 | 22003.6 |
| 358 | 2025-03-23 21:43:31 | predicable | 2 | 108824 | 9 | 16.813 | 6472.6 |
| 357 | 2025-03-23 21:38:57 | predicable | 4 | 161450 | 279 | 56.346 | 2865.3 |
| 356 | 2025-03-23 21:05:50 | predicable | 3 | 140603 | 49 | 25.940 | 5420.3 |
| 355 | 2025-03-23 00:32:29 | predicable | 1 | 67641 | 3 | 7.810 | 8660.8 |
| 354 | 2025-03-22 18:03:48 | predicable | 3 | 140603 | 49 | 6.860 | 20496.1 |
| 353 | 2025-03-22 01:33:12 | predicable | 2 | 108824 | 9 | 8.360 | 13017.2 |
| 352 | 2025-03-20 19:51:27 | predicable | 1 | 67641 | 3 | 2.580 | 26217.4 |
| 351 | 2025-03-17 21:14:34 | predicable | 3 | 140603 | 49 | 48.473 | 2900.6 |
| 350 | 2025-03-16 04:16:50 | predicable | 3 | 140603 | 49 | 35.163 | 3998.6 |
| 349 | 2025-03-13 23:30:02 | predicable | 1 | 67641 | 3 | 5.250 | 12884.0 |
| 348 | 2025-03-07 21:11:47 | predicable | 1 | 67641 | 3 | 6.970 | 9704.6 |
| 347 | 2025-02-25 07:00:15 | predicable | 1 | 67641 | 3 | 5.653 | 11965.5 |
| 346 | 2025-02-20 13:16:59 | predicable | 3 | 140603 | 49 | 30.410 | 4623.6 |
| 345 | 2025-02-16 22:42:30 | predicable | 3 | 140603 | 49 | 36.283 | 3875.2 |
| 344 | 2025-02-16 22:42:14 | predicable | 2 | 108824 | 9 | 20.143 | 5402.6 |
| 343 | 2025-02-16 22:42:14 | predicable | 3 | 140603 | 49 | 17.093 | 8225.8 |
| 342 | 2025-02-04 13:05:57 | predicable | 1 | 67641 | 3 | 4.390 | 15408.0 |
| 341 | 2025-01-28 02:09:48 | predicable | 1 | 67641 | 3 | 5.390 | 12549.4 |
| 340 | 2025-01-25 17:40:40 | predicable | 1 | 67641 | 3 | 1.233 | 54858.9 |
| 339 | 2025-01-22 14:06:26 | predicable | 2 | 108824 | 9 | 14.750 | 7377.9 |
| 338 | 2025-01-22 14:02:17 | predicable | 1 | 67641 | 3 | 2.110 | 32057.3 |
| 337 | 2025-01-20 10:17:16 | predicable | 3 | 140603 | 49 | 41.143 | 3417.4 |
| 336 | 2025-01-19 21:30:32 | predicable | 3 | 140603 | 49 | 27.856 | 5047.5 |
| 335 | 2025-01-17 07:59:04 | predicable | 4 | 161450 | 279 | 73.013 | 2211.3 |
| 334 | 2025-01-16 08:00:25 | predicable | 4 | 161450 | 279 | 59.640 | 2707.1 |
| 333 | 2025-01-16 01:57:25 | predicable | 3 | 140603 | 49 | 23.500 | 5983.1 |
| 332 | 2025-01-15 21:51:03 | predicable | 4 | 161450 | 279 | 64.816 | 2490.9 |
| 331 | 2025-01-15 21:51:00 | predicable | 3 | 140603 | 49 | 33.033 | 4256.4 |
| 330 | 2025-01-15 21:50:48 | predicable | 2 | 108824 | 9 | 14.453 | 7529.5 |
| 329 | 2024-12-26 15:32:04 | predicable | 1 | 67641 | 3 | 1.030 | 65670.9 |
| 328 | 2024-12-23 09:12:30 | predicable | 1 | 67641 | 3 | 5.906 | 11452.9 |
| 327 | 2024-12-21 07:44:17 | predicable | 1 | 67641 | 3 | 1.986 | 34058.9 |