History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sparsities"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 399 | 2025-09-09 16:33:17 | sparsities | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 398 | 2025-09-09 04:58:44 | sparsities | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 397 | 2025-08-25 16:37:11 | sparsities | 1 | 67641 | 1 | 4.266 | 15855.8 |
| 396 | 2025-08-19 13:13:36 | sparsities | 1 | 67641 | 1 | 2.016 | 33552.1 |
| 395 | 2025-08-17 14:44:34 | sparsities | 1 | 67641 | 1 | 7.203 | 9390.7 |
| 394 | 2025-08-13 23:23:29 | sparsities | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 393 | 2025-08-10 22:51:09 | sparsities | 3 | 140603 | 38 | 18.376 | 7651.4 |
| 392 | 2025-08-10 04:26:20 | sparsities | 1 | 67641 | 1 | 2.250 | 30062.7 |
| 391 | 2025-08-09 07:08:58 | sparsities | 1 | 67641 | 1 | 5.783 | 11696.5 |
| 390 | 2025-08-07 14:03:19 | sparsities | 3 | 140603 | 38 | 15.690 | 8961.3 |
| 389 | 2025-08-05 19:41:01 | sparsities | 2 | 108824 | 4 | 7.563 | 14389.0 |
| 388 | 2025-08-05 16:53:29 | sparsities | 3 | 140603 | 38 | 45.283 | 3105.0 |
| 387 | 2025-08-05 16:03:26 | sparsities | 3 | 140603 | 38 | 36.520 | 3850.0 |
| 386 | 2025-08-04 09:28:41 | sparsities | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 385 | 2025-07-25 10:02:12 | sparsities | 1 | 67641 | 1 | 4.173 | 16209.2 |
| 384 | 2025-07-23 10:20:42 | sparsities | 1 | 67641 | 1 | 7.436 | 9096.4 |
| 383 | 2025-07-19 06:31:25 | sparsities | 1 | 67641 | 1 | 2.123 | 31861.0 |
| 382 | 2025-07-10 06:44:06 | sparsities | 3 | 140603 | 38 | 28.626 | 4911.7 |
| 381 | 2025-07-08 13:29:36 | sparsities | 3 | 140603 | 38 | 43.940 | 3199.9 |
| 380 | 2025-07-08 09:19:21 | sparsities | 3 | 140603 | 38 | 33.940 | 4142.7 |
| 379 | 2025-07-08 00:13:46 | sparsities | 2 | 108824 | 4 | 16.576 | 6565.2 |
| 378 | 2025-07-07 16:21:24 | sparsities | 1 | 67641 | 1 | 5.250 | 12884.0 |
| 377 | 2025-07-05 16:33:40 | sparsities | 1 | 67641 | 1 | 5.923 | 11420.1 |
| 376 | 2025-07-03 08:27:20 | sparsities | 1 | 67641 | 1 | 5.470 | 12365.8 |
| 375 | 2025-07-02 14:46:37 | sparsities | 1 | 67641 | 1 | 4.893 | 13824.0 |
| 374 | 2025-06-30 01:29:05 | sparsities | 1 | 67641 | 1 | 2.720 | 24868.0 |
| 373 | 2025-06-26 06:34:53 | sparsities | 1 | 67641 | 1 | 5.546 | 12196.4 |
| 372 | 2025-06-23 18:45:50 | sparsities | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 371 | 2025-06-14 19:26:14 | sparsities | 1 | 67641 | 1 | 5.826 | 11610.2 |
| 370 | 2025-06-08 15:21:18 | sparsities | 1 | 67641 | 1 | 6.390 | 10585.4 |
| 369 | 2025-06-06 15:53:01 | sparsities | 1 | 67641 | 1 | 5.733 | 11798.5 |
| 368 | 2025-05-22 06:50:45 | sparsities | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 367 | 2025-05-20 11:05:38 | sparsities | 3 | 140603 | 38 | 36.910 | 3809.3 |
| 366 | 2025-05-18 12:54:18 | sparsities | 2 | 108824 | 4 | 16.080 | 6767.7 |
| 365 | 2025-05-18 04:32:07 | sparsities | 3 | 140603 | 38 | 43.606 | 3224.4 |
| 364 | 2025-05-17 14:55:16 | sparsities | 1 | 67641 | 1 | 1.830 | 36962.3 |
| 363 | 2025-05-17 08:29:44 | sparsities | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 362 | 2025-05-16 01:38:36 | sparsities | 1 | 67641 | 1 | 3.736 | 18105.2 |
| 361 | 2025-05-15 13:51:41 | sparsities | 3 | 140603 | 38 | 34.080 | 4125.7 |
| 360 | 2025-05-15 06:01:04 | sparsities | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 359 | 2025-05-13 21:16:02 | sparsities | 1 | 67641 | 1 | 5.296 | 12772.1 |
| 358 | 2025-05-12 09:24:12 | sparsities | 3 | 140603 | 38 | 24.810 | 5667.2 |
| 357 | 2025-05-12 02:48:05 | sparsities | 3 | 140603 | 38 | 29.953 | 4694.1 |
| 356 | 2025-05-11 23:36:12 | sparsities | 3 | 140603 | 38 | 38.826 | 3621.4 |
| 355 | 2025-05-10 02:05:12 | sparsities | 2 | 108824 | 4 | 11.516 | 9449.8 |
| 354 | 2025-05-09 20:33:33 | sparsities | 3 | 140603 | 38 | 33.173 | 4238.5 |
| 353 | 2025-05-09 15:08:33 | sparsities | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 352 | 2025-05-09 13:44:10 | sparsities | 1 | 67641 | 1 | 5.546 | 12196.4 |
| 351 | 2025-05-03 14:44:10 | sparsities | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 350 | 2025-05-02 15:35:47 | sparsities | 1 | 67641 | 1 | 5.830 | 11602.2 |
| 349 | 2025-05-02 09:13:31 | sparsities | 4 | 161450 | 367 | 66.863 | 2414.6 |
| 348 | 2025-05-02 07:14:27 | sparsities | 4 | 161450 | 367 | 66.206 | 2438.6 |
| 347 | 2025-04-30 16:32:47 | sparsities | 4 | 161450 | 367 | 54.033 | 2988.0 |
| 346 | 2025-04-29 23:31:45 | sparsities | 4 | 161450 | 367 | 66.550 | 2426.0 |
| 345 | 2025-04-27 18:16:43 | sparsities | 4 | 161450 | 367 | 10.860 | 14866.5 |
| 344 | 2025-04-25 21:33:23 | sparsities | 3 | 140603 | 38 | 25.720 | 5466.7 |
| 343 | 2025-04-22 02:45:42 | sparsities | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 342 | 2025-04-21 06:38:46 | sparsities | 1 | 67641 | 1 | 4.610 | 14672.7 |
| 341 | 2025-04-18 06:15:36 | sparsities | 1 | 67641 | 1 | 2.530 | 26735.6 |
| 340 | 2025-04-18 02:21:59 | sparsities | 3 | 140603 | 38 | 32.673 | 4303.3 |
| 339 | 2025-04-09 11:58:50 | sparsities | 3 | 140603 | 38 | 24.640 | 5706.3 |
| 338 | 2025-04-08 23:52:15 | sparsities | 2 | 108824 | 4 | 12.190 | 8927.3 |
| 337 | 2025-04-06 03:14:35 | sparsities | 4 | 161450 | 367 | 31.316 | 5155.5 |
| 336 | 2025-04-04 09:09:32 | sparsities | 4 | 161450 | 367 | 63.736 | 2533.1 |
| 335 | 2025-03-30 07:20:06 | sparsities | 3 | 140603 | 38 | 5.560 | 25288.3 |
| 334 | 2025-03-29 19:06:37 | sparsities | 4 | 161450 | 367 | 53.516 | 3016.9 |
| 333 | 2025-03-29 11:08:55 | sparsities | 4 | 161450 | 367 | 51.676 | 3124.3 |
| 332 | 2025-03-28 02:50:32 | sparsities | 2 | 108824 | 4 | 6.080 | 17898.7 |
| 331 | 2025-03-27 23:50:33 | sparsities | 4 | 161450 | 367 | 68.380 | 2361.1 |
| 330 | 2025-03-27 21:34:39 | sparsities | 3 | 140603 | 38 | 6.846 | 20538.0 |
| 329 | 2025-03-26 15:54:07 | sparsities | 1 | 67641 | 1 | 4.500 | 15031.3 |
| 328 | 2025-03-26 00:58:19 | sparsities | 1 | 67641 | 1 | 5.016 | 13485.0 |
| 327 | 2025-03-08 10:27:17 | sparsities | 1 | 67641 | 1 | 5.873 | 11517.3 |
| 326 | 2025-03-05 14:41:20 | sparsities | 3 | 140603 | 38 | 31.330 | 4487.8 |
| 325 | 2025-03-04 03:42:48 | sparsities | 3 | 140603 | 38 | 29.720 | 4730.9 |
| 324 | 2025-03-04 03:42:49 | sparsities | 3 | 140603 | 38 | 26.470 | 5311.8 |
| 323 | 2025-03-04 03:42:46 | sparsities | 2 | 108824 | 4 | 10.736 | 10136.4 |
| 322 | 2025-03-02 05:30:09 | sparsities | 3 | 140603 | 38 | 43.160 | 3257.7 |
| 321 | 2025-02-28 16:42:08 | sparsities | 3 | 140603 | 38 | 35.686 | 3940.0 |
| 320 | 2025-02-25 04:56:51 | sparsities | 3 | 140603 | 38 | 28.506 | 4932.4 |
| 319 | 2025-02-25 04:56:47 | sparsities | 2 | 108824 | 4 | 12.453 | 8738.8 |
| 318 | 2025-02-25 04:56:07 | sparsities | 3 | 140603 | 38 | 41.720 | 3370.2 |
| 317 | 2025-02-25 04:55:36 | sparsities | 1 | 67641 | 1 | 5.843 | 11576.4 |
| 316 | 2025-02-19 01:29:51 | sparsities | 1 | 67641 | 1 | 5.533 | 12225.0 |
| 315 | 2025-02-11 04:22:09 | sparsities | 1 | 67641 | 1 | 4.546 | 14879.2 |
| 314 | 2025-01-27 01:59:41 | sparsities | 1 | 67641 | 1 | 3.500 | 19326.0 |
| 313 | 2025-01-25 10:35:57 | sparsities | 1 | 67641 | 1 | 3.000 | 22547.0 |
| 312 | 2025-01-19 19:28:33 | sparsities | 3 | 140603 | 38 | 30.780 | 4568.0 |
| 311 | 2025-01-18 09:57:02 | sparsities | 3 | 140603 | 38 | 50.940 | 2760.2 |
| 310 | 2025-01-16 14:51:51 | sparsities | 3 | 140603 | 38 | 20.593 | 6827.7 |
| 309 | 2025-01-16 14:50:57 | sparsities | 3 | 140603 | 38 | 29.750 | 4726.2 |
| 308 | 2025-01-16 14:49:05 | sparsities | 1 | 67641 | 1 | 3.343 | 20233.6 |
| 307 | 2024-12-26 20:56:26 | sparsities | 3 | 140603 | 38 | 33.190 | 4236.3 |
| 306 | 2024-12-20 01:11:18 | sparsities | 3 | 140603 | 38 | 40.813 | 3445.1 |
| 305 | 2024-12-20 01:11:13 | sparsities | 3 | 140603 | 38 | 32.770 | 4290.6 |
| 304 | 2024-12-20 01:11:15 | sparsities | 2 | 108824 | 4 | 8.126 | 13392.1 |
| 303 | 2024-12-19 22:34:37 | sparsities | 1 | 67641 | 1 | 8.580 | 7883.6 |
| 302 | 2024-12-10 09:08:11 | sparsities | 1 | 67641 | 1 | 7.236 | 9347.8 |
| 301 | 2024-12-10 08:25:45 | sparsities | 1 | 67641 | 1 | 5.580 | 12122.0 |
| 300 | 2024-12-02 10:15:18 | sparsities | 3 | 140603 | 38 | 50.736 | 2771.3 |