History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"macroscales"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 374 | 2025-11-04 18:43:44 | macroscales | 5 | 164607 | 399 | 14.703 | 11195.5 |
| 373 | 2025-10-29 10:27:17 | macroscales | 1 | 49908 | 3 | 0.906 | 55086.1 |
| 372 | 2025-10-26 18:10:54 | macroscales | 1 | 49908 | 3 | 0.873 | 57168.4 |
| 371 | 2025-10-26 00:35:26 | macroscales | 5 | 164607 | 399 | 16.470 | 9994.4 |
| 370 | 2025-10-24 08:34:52 | macroscales | 1 | 49908 | 3 | 0.830 | 60130.1 |
| 369 | 2025-10-21 01:08:12 | macroscales | 1 | 49908 | 3 | 1.826 | 27331.9 |
| 368 | 2025-10-11 06:34:13 | macroscales | 4 | 148819 | 50 | 23.483 | 6337.3 |
| 367 | 2025-10-07 00:54:59 | macroscales | 5 | 164607 | 399 | 13.406 | 12278.6 |
| 366 | 2025-10-07 00:53:36 | macroscales | 4 | 148819 | 50 | 9.283 | 16031.3 |
| 365 | 2025-10-06 01:25:33 | macroscales | 5 | 164607 | 399 | 14.080 | 11690.8 |
| 364 | 2025-10-03 08:18:33 | macroscales | 1 | 49908 | 3 | 0.780 | 63984.6 |
| 363 | 2025-09-26 15:25:01 | macroscales | 5 | 164607 | 399 | 14.610 | 11266.7 |
| 362 | 2025-09-24 19:05:03 | macroscales | 3 | 121633 | 9 | 4.856 | 25048.0 |
| 361 | 2025-09-23 13:38:39 | macroscales | 5 | 164607 | 399 | 13.436 | 12251.2 |
| 360 | 2025-09-23 03:28:16 | macroscales | 5 | 164607 | 399 | 14.440 | 11399.4 |
| 359 | 2025-09-19 03:48:30 | macroscales | 1 | 49908 | 3 | 0.826 | 60421.3 |
| 358 | 2025-09-18 14:26:42 | macroscales | 3 | 121633 | 9 | 5.453 | 22305.7 |
| 357 | 2025-09-17 05:24:55 | macroscales | 4 | 148819 | 50 | 26.970 | 5517.9 |
| 356 | 2025-08-29 14:57:51 | macroscales | 2 | 86808 | 4 | 2.266 | 38308.9 |
| 355 | 2025-08-29 14:17:43 | macroscales | 3 | 121633 | 9 | 5.203 | 23377.5 |
| 354 | 2025-08-27 17:44:59 | macroscales | 5 | 164607 | 399 | 15.063 | 10927.9 |
| 353 | 2025-08-27 17:44:27 | macroscales | 4 | 148819 | 50 | 9.533 | 15610.9 |
| 352 | 2025-08-25 03:09:08 | macroscales | 1 | 49908 | 3 | 3.846 | 12976.6 |
| 351 | 2025-08-19 14:53:22 | macroscales | 1 | 49908 | 3 | 2.170 | 22999.1 |
| 350 | 2025-08-16 18:47:55 | macroscales | 5 | 164607 | 399 | 86.256 | 1908.4 |
| 349 | 2025-08-15 20:09:36 | macroscales | 2 | 86808 | 4 | 2.423 | 35826.7 |
| 348 | 2025-08-15 12:40:53 | macroscales | 5 | 164607 | 399 | 69.690 | 2362.0 |
| 347 | 2025-08-15 06:46:24 | macroscales | 3 | 121633 | 9 | 23.803 | 5110.0 |
| 346 | 2025-08-14 08:44:56 | macroscales | 1 | 49908 | 3 | 0.843 | 59202.8 |
| 345 | 2025-08-10 11:17:32 | macroscales | 4 | 148819 | 50 | 23.250 | 6400.8 |
| 344 | 2025-08-10 03:31:11 | macroscales | 2 | 86808 | 4 | 5.593 | 15520.8 |
| 343 | 2025-08-08 21:29:01 | macroscales | 1 | 49908 | 3 | 0.843 | 59202.8 |
| 342 | 2025-07-25 09:36:28 | macroscales | 1 | 49908 | 3 | 2.093 | 23845.2 |
| 341 | 2025-07-25 09:20:52 | macroscales | 1 | 49908 | 3 | 2.106 | 23698.0 |
| 340 | 2025-07-17 13:47:36 | macroscales | 1 | 49908 | 3 | 2.373 | 21031.6 |
| 339 | 2025-06-29 20:52:28 | macroscales | 1 | 49908 | 3 | 4.093 | 12193.5 |
| 338 | 2025-06-17 06:36:39 | macroscales | 1 | 49908 | 3 | 0.876 | 56972.6 |
| 337 | 2025-06-04 10:31:11 | macroscales | 1 | 49908 | 3 | 5.800 | 8604.8 |
| 336 | 2025-06-04 10:29:06 | macroscales | 1 | 49908 | 3 | 2.266 | 22024.7 |
| 335 | 2025-06-03 20:25:39 | macroscales | 1 | 49908 | 3 | 4.703 | 10611.9 |
| 334 | 2025-05-31 20:05:56 | macroscales | 1 | 49908 | 3 | 3.453 | 14453.5 |
| 333 | 2025-05-23 17:57:38 | macroscales | 1 | 49908 | 3 | 4.050 | 12323.0 |
| 332 | 2025-05-15 00:14:35 | macroscales | 3 | 121633 | 9 | 5.503 | 22103.0 |
| 331 | 2025-05-12 15:27:45 | macroscales | 3 | 121633 | 9 | 30.186 | 4029.5 |
| 330 | 2025-05-11 02:30:35 | macroscales | 2 | 86808 | 4 | 18.580 | 4672.1 |
| 329 | 2025-04-28 09:17:17 | macroscales | 4 | 148819 | 50 | 30.953 | 4807.9 |
| 328 | 2025-04-25 23:22:18 | macroscales | 4 | 148819 | 50 | 30.830 | 4827.1 |
| 327 | 2025-04-21 02:51:45 | macroscales | 2 | 86808 | 4 | 13.033 | 6660.6 |
| 326 | 2025-04-20 12:27:22 | macroscales | 1 | 49908 | 3 | 0.953 | 52369.4 |
| 325 | 2025-04-12 21:26:25 | macroscales | 4 | 148819 | 50 | 10.016 | 14858.1 |
| 324 | 2025-04-06 11:27:57 | macroscales | 1 | 49908 | 3 | 5.750 | 8679.7 |
| 323 | 2025-04-04 06:58:30 | macroscales | 4 | 148819 | 50 | 50.846 | 2926.9 |
| 322 | 2025-03-26 10:40:16 | macroscales | 4 | 148819 | 50 | 45.676 | 3258.1 |
| 321 | 2025-03-26 08:43:47 | macroscales | 4 | 148819 | 50 | 36.533 | 4073.5 |
| 320 | 2025-03-25 21:12:44 | macroscales | 1 | 49908 | 3 | 3.923 | 12721.9 |
| 319 | 2025-03-25 08:00:04 | macroscales | 3 | 121633 | 9 | 27.253 | 4463.1 |
| 318 | 2025-03-25 05:17:38 | macroscales | 1 | 49908 | 3 | 2.123 | 23508.2 |
| 317 | 2025-03-25 03:47:49 | macroscales | 2 | 86808 | 4 | 12.516 | 6935.8 |
| 316 | 2025-03-25 00:37:02 | macroscales | 4 | 148819 | 50 | 47.380 | 3141.0 |
| 315 | 2025-03-24 13:17:10 | macroscales | 1 | 49908 | 3 | 0.830 | 60130.1 |
| 314 | 2025-03-15 18:11:27 | macroscales | 4 | 148819 | 50 | 37.733 | 3944.0 |
| 313 | 2025-03-07 05:03:35 | macroscales | 1 | 49908 | 3 | 1.920 | 25993.8 |
| 312 | 2025-02-26 04:46:26 | macroscales | 4 | 148819 | 50 | 61.520 | 2419.0 |
| 311 | 2025-02-26 04:46:16 | macroscales | 3 | 121633 | 9 | 19.173 | 6344.0 |
| 310 | 2025-02-26 04:46:13 | macroscales | 2 | 86808 | 4 | 5.940 | 14614.1 |
| 309 | 2025-02-26 04:45:54 | macroscales | 1 | 49908 | 3 | 1.343 | 37161.6 |
| 308 | 2025-02-19 10:25:27 | macroscales | 4 | 148819 | 50 | 38.706 | 3844.9 |
| 307 | 2025-02-19 10:25:25 | macroscales | 3 | 121633 | 9 | 20.063 | 6062.6 |
| 306 | 2025-02-19 10:25:25 | macroscales | 2 | 86808 | 4 | 13.156 | 6598.4 |
| 305 | 2025-02-19 10:21:41 | macroscales | 1 | 49908 | 3 | 3.173 | 15729.0 |
| 304 | 2025-02-15 18:24:37 | macroscales | 4 | 148819 | 50 | 48.240 | 3085.0 |
| 303 | 2025-02-15 15:15:55 | macroscales | 4 | 148819 | 50 | 43.876 | 3391.8 |
| 302 | 2025-02-15 01:39:03 | macroscales | 4 | 148819 | 50 | 61.583 | 2416.6 |
| 301 | 2025-02-13 15:41:17 | macroscales | 4 | 148819 | 50 | 55.290 | 2691.6 |
| 300 | 2025-02-11 17:18:23 | macroscales | 1 | 49908 | 3 | 2.966 | 16826.7 |
| 299 | 2025-01-29 20:44:30 | macroscales | 2 | 86808 | 4 | 8.423 | 10306.1 |
| 298 | 2025-01-29 20:42:40 | macroscales | 1 | 49908 | 3 | 5.076 | 9832.2 |
| 297 | 2025-01-21 22:41:04 | macroscales | 3 | 121633 | 9 | 25.580 | 4755.0 |
| 296 | 2025-01-21 22:41:04 | macroscales | 2 | 86808 | 4 | 12.000 | 7234.0 |
| 295 | 2025-01-21 22:38:07 | macroscales | 1 | 49908 | 3 | 3.873 | 12886.1 |
| 294 | 2025-01-17 14:54:31 | macroscales | 3 | 121633 | 9 | 26.733 | 4549.9 |
| 293 | 2025-01-17 14:54:25 | macroscales | 2 | 86808 | 4 | 10.750 | 8075.2 |
| 292 | 2025-01-17 14:53:23 | macroscales | 4 | 148819 | 50 | 42.313 | 3517.1 |
| 291 | 2025-01-17 14:51:45 | macroscales | 1 | 49908 | 3 | 3.656 | 13651.0 |
| 290 | 2025-01-14 13:49:12 | macroscales | 3 | 121633 | 9 | 23.486 | 5179.0 |
| 289 | 2025-01-12 11:11:36 | macroscales | 3 | 121633 | 9 | 29.830 | 4077.5 |
| 288 | 2025-01-12 11:11:38 | macroscales | 2 | 86808 | 4 | 17.346 | 5004.5 |
| 287 | 2025-01-12 11:08:09 | macroscales | 1 | 49908 | 3 | 3.923 | 12721.9 |
| 286 | 2025-01-10 14:44:23 | macroscales | 4 | 148819 | 50 | 62.346 | 2387.0 |
| 285 | 2025-01-07 07:51:52 | macroscales | 4 | 148819 | 50 | 43.973 | 3384.3 |
| 284 | 2025-01-07 06:44:44 | macroscales | 4 | 148819 | 50 | 38.703 | 3845.2 |
| 283 | 2025-01-07 02:42:14 | macroscales | 4 | 148819 | 50 | 53.050 | 2805.3 |
| 282 | 2024-12-22 21:18:31 | macroscales | 1 | 49908 | 3 | 3.360 | 14853.6 |
| 281 | 2024-12-11 22:15:40 | macroscales | 4 | 148819 | 50 | 71.723 | 2074.9 |
| 280 | 2024-12-11 22:15:46 | macroscales | 2 | 86808 | 4 | 23.283 | 3728.4 |
| 279 | 2024-12-11 22:14:49 | macroscales | 1 | 49908 | 3 | 3.233 | 15437.1 |
| 278 | 2024-12-11 21:48:38 | macroscales | 3 | 121633 | 9 | 23.720 | 5127.9 |
| 277 | 2024-12-11 21:48:49 | macroscales | 2 | 86808 | 4 | 12.063 | 7196.2 |
| 276 | 2024-12-11 21:46:38 | macroscales | 4 | 148819 | 50 | 47.333 | 3144.1 |
| 275 | 2024-12-11 21:45:12 | macroscales | 1 | 49908 | 3 | 4.140 | 12055.1 |