History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"warehouse"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 419 | 2025-10-23 02:25:34 | warehouse | 1 | 81242 | 4 | 1.440 | 56418.1 |
| 418 | 2025-10-21 21:25:08 | warehouse | 4 | 165329 | 245 | 36.876 | 4483.4 |
| 417 | 2025-10-05 00:31:17 | warehouse | 4 | 165329 | 245 | 11.110 | 14881.1 |
| 416 | 2025-10-03 09:24:34 | warehouse | 4 | 165329 | 245 | 11.110 | 14881.1 |
| 415 | 2025-09-26 20:12:04 | warehouse | 3 | 148641 | 58 | 6.546 | 22707.1 |
| 414 | 2025-09-15 09:10:26 | warehouse | 4 | 165329 | 245 | 12.016 | 13759.1 |
| 413 | 2025-09-12 09:21:31 | warehouse | 3 | 148641 | 58 | 10.970 | 13549.8 |
| 412 | 2025-09-09 13:28:51 | warehouse | 1 | 81242 | 4 | 2.843 | 28576.2 |
| 411 | 2025-09-09 02:30:25 | warehouse | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 410 | 2025-08-27 17:06:12 | warehouse | 2 | 121436 | 15 | 5.250 | 23130.7 |
| 409 | 2025-08-27 12:02:42 | warehouse | 3 | 148641 | 58 | 12.783 | 11628.0 |
| 408 | 2025-08-27 01:02:21 | warehouse | 3 | 148641 | 58 | 7.673 | 19372.0 |
| 407 | 2025-08-26 16:31:23 | warehouse | 1 | 81242 | 4 | 1.313 | 61875.1 |
| 406 | 2025-08-25 14:14:31 | warehouse | 1 | 81242 | 4 | 10.063 | 8073.3 |
| 405 | 2025-08-25 01:44:39 | warehouse | 1 | 81242 | 4 | 7.516 | 10809.2 |
| 404 | 2025-08-21 10:16:57 | warehouse | 1 | 81242 | 4 | 2.673 | 30393.6 |
| 403 | 2025-08-19 15:56:31 | warehouse | 3 | 148641 | 58 | 19.843 | 7490.9 |
| 402 | 2025-08-17 07:18:16 | warehouse | 2 | 121436 | 15 | 8.063 | 15060.9 |
| 401 | 2025-08-17 06:59:18 | warehouse | 4 | 165329 | 245 | 33.250 | 4972.3 |
| 400 | 2025-08-15 20:09:32 | warehouse | 3 | 148641 | 58 | 7.126 | 20859.0 |
| 399 | 2025-08-10 11:50:54 | warehouse | 3 | 148641 | 58 | 28.423 | 5229.6 |
| 398 | 2025-08-09 11:27:35 | warehouse | 1 | 81242 | 4 | 4.593 | 17688.2 |
| 397 | 2025-07-25 02:41:55 | warehouse | 1 | 81242 | 4 | 3.190 | 25467.7 |
| 396 | 2025-07-24 22:03:24 | warehouse | 1 | 81242 | 4 | 3.486 | 23305.2 |
| 395 | 2025-07-24 13:24:43 | warehouse | 1 | 81242 | 4 | 6.376 | 12741.8 |
| 394 | 2025-07-22 21:27:03 | warehouse | 1 | 81242 | 4 | 7.310 | 11113.8 |
| 393 | 2025-07-22 20:42:31 | warehouse | 1 | 81242 | 4 | 3.000 | 27080.7 |
| 392 | 2025-07-20 06:30:11 | warehouse | 1 | 81242 | 4 | 1.403 | 57905.9 |
| 391 | 2025-07-13 14:53:37 | warehouse | 1 | 81242 | 4 | 1.216 | 66810.9 |
| 390 | 2025-06-20 03:21:30 | warehouse | 1 | 81242 | 4 | 6.486 | 12525.7 |
| 389 | 2025-06-15 14:51:19 | warehouse | 1 | 81242 | 4 | 1.436 | 56575.2 |
| 388 | 2025-06-14 13:25:52 | warehouse | 3 | 148641 | 58 | 30.203 | 4921.4 |
| 387 | 2025-06-14 10:15:44 | warehouse | 1 | 81242 | 4 | 3.186 | 25499.7 |
| 386 | 2025-06-13 11:36:04 | warehouse | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 385 | 2025-06-11 06:37:52 | warehouse | 2 | 121436 | 15 | 25.473 | 4767.2 |
| 384 | 2025-06-11 01:04:19 | warehouse | 3 | 148641 | 58 | 31.940 | 4653.8 |
| 383 | 2025-06-10 10:26:25 | warehouse | 1 | 81242 | 4 | 8.983 | 9044.0 |
| 382 | 2025-06-09 23:30:46 | warehouse | 3 | 148641 | 58 | 34.753 | 4277.1 |
| 381 | 2025-06-09 21:32:21 | warehouse | 3 | 148641 | 58 | 29.830 | 4982.9 |
| 380 | 2025-06-05 10:39:08 | warehouse | 3 | 148641 | 58 | 20.783 | 7152.0 |
| 379 | 2025-06-05 01:01:50 | warehouse | 3 | 148641 | 58 | 37.016 | 4015.6 |
| 378 | 2025-06-04 17:04:54 | warehouse | 1 | 81242 | 4 | 4.813 | 16879.7 |
| 377 | 2025-06-04 15:11:25 | warehouse | 3 | 148641 | 58 | 51.516 | 2885.3 |
| 376 | 2025-05-30 13:11:14 | warehouse | 3 | 148641 | 58 | 39.376 | 3774.9 |
| 375 | 2025-05-29 11:35:18 | warehouse | 2 | 121436 | 15 | 9.123 | 13311.0 |
| 374 | 2025-05-28 20:18:40 | warehouse | 1 | 81242 | 4 | 5.390 | 15072.7 |
| 373 | 2025-05-28 11:06:34 | warehouse | 4 | 165329 | 245 | 12.673 | 13045.8 |
| 372 | 2025-05-27 18:52:01 | warehouse | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 371 | 2025-05-25 10:48:28 | warehouse | 4 | 165329 | 245 | 30.593 | 5404.1 |
| 370 | 2025-05-24 10:25:28 | warehouse | 2 | 121436 | 15 | 18.470 | 6574.8 |
| 369 | 2025-05-12 15:08:48 | warehouse | 1 | 81242 | 4 | 7.220 | 11252.4 |
| 368 | 2025-05-10 13:07:13 | warehouse | 4 | 165329 | 245 | 34.830 | 4746.7 |
| 367 | 2025-05-04 09:56:38 | warehouse | 1 | 81242 | 4 | 5.203 | 15614.5 |
| 366 | 2025-05-02 16:55:58 | warehouse | 4 | 165329 | 245 | 79.036 | 2091.8 |
| 365 | 2025-05-02 05:22:59 | warehouse | 4 | 165329 | 245 | 43.753 | 3778.7 |
| 364 | 2025-05-01 14:10:35 | warehouse | 1 | 81242 | 4 | 2.610 | 31127.2 |
| 363 | 2025-04-30 21:10:11 | warehouse | 4 | 165329 | 245 | 49.973 | 3308.4 |
| 362 | 2025-04-30 01:18:39 | warehouse | 4 | 165329 | 245 | 61.543 | 2686.4 |
| 361 | 2025-04-25 14:20:59 | warehouse | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 360 | 2025-04-23 19:05:14 | warehouse | 4 | 165329 | 245 | 11.830 | 13975.4 |
| 359 | 2025-04-23 11:34:51 | warehouse | 1 | 81242 | 4 | 6.066 | 13393.0 |
| 358 | 2025-04-22 12:41:52 | warehouse | 4 | 165329 | 245 | 13.096 | 12624.4 |
| 357 | 2025-04-18 17:13:34 | warehouse | 2 | 121436 | 15 | 8.670 | 14006.5 |
| 356 | 2025-04-18 10:30:48 | warehouse | 3 | 148641 | 58 | 19.223 | 7732.5 |
| 355 | 2025-04-17 21:17:30 | warehouse | 1 | 81242 | 4 | 3.560 | 22820.8 |
| 354 | 2025-04-11 14:30:19 | warehouse | 1 | 81242 | 4 | 7.046 | 11530.2 |
| 353 | 2025-04-06 01:05:37 | warehouse | 3 | 148641 | 58 | 33.690 | 4412.0 |
| 352 | 2025-04-04 08:22:38 | warehouse | 3 | 148641 | 58 | 20.126 | 7385.5 |
| 351 | 2025-04-03 12:09:55 | warehouse | 3 | 148641 | 58 | 9.423 | 15774.3 |
| 350 | 2025-03-29 16:48:35 | warehouse | 3 | 148641 | 58 | 25.986 | 5720.0 |
| 349 | 2025-03-26 22:06:56 | warehouse | 3 | 148641 | 58 | 41.376 | 3592.4 |
| 348 | 2025-03-26 11:25:10 | warehouse | 1 | 81242 | 4 | 4.796 | 16939.5 |
| 347 | 2025-03-22 10:30:44 | warehouse | 4 | 165329 | 245 | 33.096 | 4995.4 |
| 346 | 2025-03-20 20:52:23 | warehouse | 2 | 121436 | 15 | 3.656 | 33215.5 |
| 345 | 2025-03-20 20:02:38 | warehouse | 3 | 148641 | 58 | 6.876 | 21617.4 |
| 344 | 2025-03-19 10:08:47 | warehouse | 1 | 81242 | 4 | 1.250 | 64993.6 |
| 343 | 2025-03-11 10:19:05 | warehouse | 2 | 121436 | 15 | 24.266 | 5004.4 |
| 342 | 2025-03-11 08:55:14 | warehouse | 1 | 81242 | 4 | 6.076 | 13371.0 |
| 341 | 2025-03-08 14:32:40 | warehouse | 3 | 148641 | 58 | 37.983 | 3913.4 |
| 340 | 2025-03-08 14:32:27 | warehouse | 2 | 121436 | 15 | 20.313 | 5978.2 |
| 339 | 2025-03-08 14:31:35 | warehouse | 1 | 81242 | 4 | 7.076 | 11481.3 |
| 338 | 2025-03-08 14:27:37 | warehouse | 3 | 148641 | 58 | 37.036 | 4013.4 |
| 337 | 2025-02-23 11:13:18 | warehouse | 2 | 121436 | 15 | 9.360 | 12973.9 |
| 336 | 2025-02-23 11:11:58 | warehouse | 2 | 121436 | 15 | 29.736 | 4083.8 |
| 335 | 2025-02-19 19:44:34 | warehouse | 1 | 81242 | 4 | 3.313 | 24522.2 |
| 334 | 2025-02-19 18:36:00 | warehouse | 3 | 148641 | 58 | 45.626 | 3257.8 |
| 333 | 2025-02-16 08:05:55 | warehouse | 2 | 121436 | 15 | 18.156 | 6688.5 |
| 332 | 2025-02-16 08:05:28 | warehouse | 3 | 148641 | 58 | 29.703 | 5004.2 |
| 331 | 2025-02-16 08:03:40 | warehouse | 1 | 81242 | 4 | 3.216 | 25261.8 |
| 330 | 2025-02-12 18:15:21 | warehouse | 2 | 121436 | 15 | 18.330 | 6625.0 |
| 329 | 2025-02-11 08:24:59 | warehouse | 3 | 148641 | 58 | 40.546 | 3666.0 |
| 328 | 2025-02-11 06:05:38 | warehouse | 3 | 148641 | 58 | 37.596 | 3953.6 |
| 327 | 2025-02-07 16:30:01 | warehouse | 3 | 148641 | 58 | 30.656 | 4848.7 |
| 326 | 2025-02-07 16:29:59 | warehouse | 2 | 121436 | 15 | 21.516 | 5644.0 |
| 325 | 2025-02-07 16:29:43 | warehouse | 1 | 81242 | 4 | 6.390 | 12713.9 |
| 324 | 2025-01-20 23:28:15 | warehouse | 1 | 81242 | 4 | 6.700 | 12125.7 |
| 323 | 2025-01-13 17:16:40 | warehouse | 3 | 148641 | 58 | 37.783 | 3934.1 |
| 322 | 2025-01-08 10:08:50 | warehouse | 3 | 148641 | 58 | 27.190 | 5466.8 |
| 321 | 2025-01-08 03:41:00 | warehouse | 1 | 81242 | 4 | 6.920 | 11740.2 |
| 320 | 2025-01-07 13:13:33 | warehouse | 2 | 121436 | 15 | 20.156 | 6024.8 |