History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"centricity"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 407 | 2025-10-25 14:00:52 | centricity | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 406 | 2025-10-23 11:49:41 | centricity | 1 | 67641 | 1 | 2.360 | 28661.4 |
| 405 | 2025-10-23 11:48:05 | centricity | 1 | 67641 | 1 | 6.310 | 10719.7 |
| 404 | 2025-10-22 09:57:00 | centricity | 1 | 67641 | 1 | 3.250 | 20812.6 |
| 403 | 2025-10-22 09:54:21 | centricity | 1 | 67641 | 1 | 3.703 | 18266.5 |
| 402 | 2025-10-21 07:56:42 | centricity | 1 | 67641 | 1 | 4.610 | 14672.7 |
| 401 | 2025-10-21 07:55:53 | centricity | 1 | 67641 | 1 | 2.656 | 25467.2 |
| 400 | 2025-10-19 01:29:54 | centricity | 3 | 140603 | 20 | 8.436 | 16667.0 |
| 399 | 2025-10-14 07:48:49 | centricity | 1 | 67641 | 1 | 1.043 | 64852.3 |
| 398 | 2025-10-14 01:04:24 | centricity | 2 | 108824 | 3 | 2.970 | 36641.1 |
| 397 | 2025-10-13 20:48:10 | centricity | 3 | 140603 | 20 | 7.123 | 19739.3 |
| 396 | 2025-10-13 07:16:37 | centricity | 4 | 161450 | 133 | 11.736 | 13756.8 |
| 395 | 2025-10-13 06:41:15 | centricity | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 394 | 2025-10-09 21:21:28 | centricity | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 393 | 2025-10-07 07:37:53 | centricity | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 392 | 2025-10-07 01:11:27 | centricity | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 391 | 2025-10-06 17:28:09 | centricity | 3 | 140603 | 20 | 7.280 | 19313.6 |
| 390 | 2025-10-06 05:40:02 | centricity | 4 | 161450 | 133 | 11.890 | 13578.6 |
| 389 | 2025-10-06 05:28:49 | centricity | 4 | 161450 | 133 | 11.563 | 13962.6 |
| 388 | 2025-10-06 03:02:47 | centricity | 2 | 108824 | 3 | 3.640 | 29896.7 |
| 387 | 2025-10-06 00:55:52 | centricity | 1 | 67641 | 1 | 1.356 | 49882.7 |
| 386 | 2025-10-02 01:17:51 | centricity | 1 | 67641 | 1 | 1.906 | 35488.5 |
| 385 | 2025-10-02 00:48:54 | centricity | 4 | 161450 | 133 | 10.500 | 15376.2 |
| 384 | 2025-10-01 22:02:13 | centricity | 4 | 161450 | 133 | 11.143 | 14488.9 |
| 383 | 2025-10-01 16:40:49 | centricity | 2 | 108824 | 3 | 4.780 | 22766.5 |
| 382 | 2025-10-01 04:38:24 | centricity | 2 | 108824 | 3 | 3.016 | 36082.2 |
| 381 | 2025-09-30 23:52:48 | centricity | 3 | 140603 | 20 | 7.296 | 19271.2 |
| 380 | 2025-09-30 23:27:35 | centricity | 3 | 140603 | 20 | 7.186 | 19566.2 |
| 379 | 2025-09-30 13:10:47 | centricity | 3 | 140603 | 20 | 6.876 | 20448.4 |
| 378 | 2025-09-30 12:58:57 | centricity | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 377 | 2025-09-30 10:49:26 | centricity | 3 | 140603 | 20 | 12.050 | 11668.3 |
| 376 | 2025-09-30 10:15:21 | centricity | 2 | 108824 | 3 | 3.000 | 36274.7 |
| 375 | 2025-09-30 08:22:03 | centricity | 2 | 108824 | 3 | 3.140 | 34657.3 |
| 374 | 2025-09-30 07:54:40 | centricity | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 373 | 2025-09-29 21:55:13 | centricity | 2 | 108824 | 3 | 3.156 | 34481.6 |
| 372 | 2025-09-29 18:28:33 | centricity | 4 | 161450 | 133 | 12.110 | 13332.0 |
| 371 | 2025-09-29 17:12:54 | centricity | 4 | 161450 | 133 | 10.360 | 15584.0 |
| 370 | 2025-09-29 14:34:55 | centricity | 4 | 161450 | 133 | 18.123 | 8908.6 |
| 369 | 2025-09-29 08:31:57 | centricity | 4 | 161450 | 133 | 12.420 | 12999.2 |
| 368 | 2025-09-29 06:47:00 | centricity | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 367 | 2025-09-29 05:25:14 | centricity | 3 | 140603 | 20 | 5.796 | 24258.6 |
| 366 | 2025-09-29 01:15:07 | centricity | 4 | 161450 | 133 | 11.186 | 14433.2 |
| 365 | 2025-09-28 22:11:20 | centricity | 4 | 161450 | 133 | 12.280 | 13147.4 |
| 364 | 2025-09-28 20:47:25 | centricity | 4 | 161450 | 133 | 10.983 | 14700.0 |
| 363 | 2025-09-28 09:59:40 | centricity | 2 | 108824 | 3 | 3.190 | 34114.1 |
| 362 | 2025-09-28 05:09:36 | centricity | 3 | 140603 | 20 | 6.313 | 22272.0 |
| 361 | 2025-09-27 22:12:48 | centricity | 4 | 161450 | 133 | 13.516 | 11945.1 |
| 360 | 2025-09-27 04:57:02 | centricity | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 359 | 2025-09-23 17:17:46 | centricity | 1 | 67641 | 1 | 1.076 | 62863.4 |
| 358 | 2025-09-16 07:47:06 | centricity | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 357 | 2025-09-13 01:42:40 | centricity | 2 | 108824 | 3 | 3.143 | 34624.2 |
| 356 | 2025-09-13 01:06:07 | centricity | 2 | 108824 | 3 | 3.283 | 33147.7 |
| 355 | 2025-09-12 20:58:37 | centricity | 3 | 140603 | 20 | 6.296 | 22332.1 |
| 354 | 2025-09-12 06:42:19 | centricity | 4 | 161450 | 133 | 11.470 | 14075.9 |
| 353 | 2025-09-12 06:42:15 | centricity | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 352 | 2025-09-09 23:40:35 | centricity | 1 | 67641 | 1 | 1.170 | 57812.8 |
| 351 | 2025-09-09 07:43:35 | centricity | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 350 | 2025-09-08 21:28:11 | centricity | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 349 | 2025-09-04 01:11:04 | centricity | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 348 | 2025-09-03 16:01:59 | centricity | 3 | 140603 | 20 | 6.280 | 22389.0 |
| 347 | 2025-09-03 03:13:15 | centricity | 2 | 108824 | 3 | 3.296 | 33017.0 |
| 346 | 2025-09-02 08:49:46 | centricity | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 345 | 2025-08-31 01:21:36 | centricity | 1 | 67641 | 1 | 1.060 | 63812.3 |
| 344 | 2025-08-30 15:54:49 | centricity | 2 | 108824 | 3 | 2.860 | 38050.3 |
| 343 | 2025-08-30 12:50:28 | centricity | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 342 | 2025-08-30 11:01:00 | centricity | 2 | 108824 | 3 | 3.296 | 33017.0 |
| 341 | 2025-08-30 04:58:33 | centricity | 4 | 161450 | 133 | 11.003 | 14673.3 |
| 340 | 2025-08-29 17:04:21 | centricity | 4 | 161450 | 133 | 15.876 | 10169.4 |
| 339 | 2025-08-29 14:38:52 | centricity | 4 | 161450 | 133 | 11.843 | 13632.5 |
| 338 | 2025-08-29 10:50:26 | centricity | 3 | 140603 | 20 | 5.876 | 23928.4 |
| 337 | 2025-08-29 06:37:29 | centricity | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 336 | 2025-08-29 01:59:50 | centricity | 4 | 161450 | 133 | 12.250 | 13179.6 |
| 335 | 2025-08-28 23:54:54 | centricity | 3 | 140603 | 20 | 6.046 | 23255.5 |
| 334 | 2025-08-28 21:44:38 | centricity | 2 | 108824 | 3 | 2.826 | 38508.1 |
| 333 | 2025-08-28 20:45:35 | centricity | 4 | 161450 | 133 | 11.673 | 13831.1 |
| 332 | 2025-08-28 12:55:46 | centricity | 3 | 140603 | 20 | 8.970 | 15674.8 |
| 331 | 2025-08-28 10:05:08 | centricity | 2 | 108824 | 3 | 3.500 | 31092.6 |
| 330 | 2025-08-28 07:59:29 | centricity | 2 | 108824 | 3 | 3.453 | 31515.8 |
| 329 | 2025-08-28 05:11:11 | centricity | 3 | 140603 | 20 | 12.843 | 10947.8 |
| 328 | 2025-08-28 05:07:09 | centricity | 3 | 140603 | 20 | 6.016 | 23371.5 |
| 327 | 2025-08-27 22:17:05 | centricity | 4 | 161450 | 133 | 18.376 | 8785.9 |
| 326 | 2025-08-27 21:51:47 | centricity | 4 | 161450 | 133 | 10.940 | 14757.8 |
| 325 | 2025-08-27 05:00:27 | centricity | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 324 | 2025-08-27 01:45:46 | centricity | 1 | 67641 | 1 | 2.173 | 31127.9 |
| 323 | 2025-08-25 20:57:18 | centricity | 1 | 67641 | 1 | 5.750 | 11763.7 |
| 322 | 2025-08-20 04:04:13 | centricity | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 321 | 2025-08-12 07:26:39 | centricity | 1 | 67641 | 1 | 2.876 | 23519.1 |
| 320 | 2025-08-12 03:06:15 | centricity | 2 | 108824 | 3 | 7.593 | 14332.1 |
| 319 | 2025-08-11 22:31:48 | centricity | 3 | 140603 | 20 | 17.610 | 7984.3 |
| 318 | 2025-08-09 01:02:39 | centricity | 1 | 67641 | 1 | 4.186 | 16158.9 |
| 317 | 2025-07-14 07:37:11 | centricity | 3 | 140603 | 20 | 36.350 | 3868.0 |
| 316 | 2025-07-13 23:25:38 | centricity | 4 | 161450 | 133 | 38.080 | 4239.8 |
| 315 | 2025-07-13 22:04:46 | centricity | 4 | 161450 | 133 | 78.753 | 2050.1 |
| 314 | 2025-07-10 21:37:00 | centricity | 4 | 161450 | 133 | 40.333 | 4002.9 |
| 313 | 2025-07-10 03:14:15 | centricity | 2 | 108824 | 3 | 15.766 | 6902.4 |
| 312 | 2025-07-09 21:42:56 | centricity | 3 | 140603 | 20 | 26.546 | 5296.6 |
| 311 | 2025-07-07 07:23:48 | centricity | 1 | 67641 | 1 | 2.966 | 22805.5 |
| 310 | 2025-07-07 06:55:12 | centricity | 1 | 67641 | 1 | 3.503 | 19309.4 |
| 309 | 2025-06-22 13:33:20 | centricity | 1 | 67641 | 1 | 7.233 | 9351.7 |
| 308 | 2025-06-21 05:33:20 | centricity | 1 | 67641 | 1 | 5.423 | 12473.0 |