History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"parametric"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 386 | 2026-01-07 00:22:53 | parametric | 2 | 108824 | 6 | 5.580 | 19502.5 |
| 385 | 2026-01-04 13:57:50 | parametric | 3 | 140603 | 28 | 9.596 | 14652.3 |
| 384 | 2025-12-31 22:52:01 | parametric | 3 | 140603 | 28 | 7.126 | 19731.0 |
| 383 | 2025-12-29 02:10:10 | parametric | 1 | 67641 | 1 | 1.360 | 49736.0 |
| 382 | 2025-12-28 13:50:37 | parametric | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 381 | 2025-12-28 13:05:48 | parametric | 4 | 161450 | 130 | 11.280 | 14312.9 |
| 380 | 2025-12-27 04:43:32 | parametric | 2 | 108824 | 6 | 6.563 | 16581.4 |
| 379 | 2025-12-26 23:05:56 | parametric | 4 | 161450 | 130 | 21.563 | 7487.4 |
| 378 | 2025-12-26 15:33:06 | parametric | 2 | 108824 | 6 | 4.000 | 27206.0 |
| 377 | 2025-12-25 09:45:48 | parametric | 3 | 140603 | 28 | 6.920 | 20318.4 |
| 376 | 2025-12-25 08:34:17 | parametric | 4 | 161450 | 130 | 11.423 | 14133.8 |
| 375 | 2025-12-24 09:42:09 | parametric | 2 | 108824 | 6 | 2.923 | 37230.2 |
| 374 | 2025-12-24 00:04:47 | parametric | 4 | 161450 | 130 | 24.796 | 6511.1 |
| 373 | 2025-12-23 22:11:20 | parametric | 1 | 67641 | 1 | 1.436 | 47103.8 |
| 372 | 2025-12-23 15:52:55 | parametric | 4 | 161450 | 130 | 10.800 | 14949.1 |
| 371 | 2025-12-23 06:46:20 | parametric | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 370 | 2025-12-23 06:39:24 | parametric | 4 | 161450 | 130 | 36.830 | 4383.7 |
| 369 | 2025-12-23 03:21:17 | parametric | 2 | 108824 | 6 | 3.250 | 33484.3 |
| 368 | 2025-12-23 02:57:46 | parametric | 3 | 140603 | 28 | 6.106 | 23027.0 |
| 367 | 2025-12-23 00:58:55 | parametric | 2 | 108824 | 6 | 3.313 | 32847.6 |
| 366 | 2025-12-22 18:51:46 | parametric | 4 | 161450 | 130 | 11.656 | 13851.2 |
| 365 | 2025-12-22 18:48:32 | parametric | 3 | 140603 | 28 | 6.796 | 20689.1 |
| 364 | 2025-12-22 11:03:22 | parametric | 2 | 108824 | 6 | 3.216 | 33838.3 |
| 363 | 2025-12-22 08:51:23 | parametric | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 362 | 2025-12-22 00:30:54 | parametric | 3 | 140603 | 28 | 12.953 | 10854.9 |
| 361 | 2025-12-21 23:02:05 | parametric | 4 | 161450 | 130 | 12.546 | 12868.6 |
| 360 | 2025-12-14 09:50:32 | parametric | 1 | 67641 | 1 | 6.503 | 10401.5 |
| 359 | 2025-12-14 03:21:34 | parametric | 1 | 67641 | 1 | 2.296 | 29460.4 |
| 358 | 2025-12-06 00:50:43 | parametric | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 357 | 2025-12-01 16:50:53 | parametric | 3 | 140603 | 28 | 6.593 | 21326.1 |
| 356 | 2025-11-30 03:17:12 | parametric | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 355 | 2025-11-27 22:42:36 | parametric | 3 | 140603 | 28 | 29.640 | 4743.7 |
| 354 | 2025-11-25 21:56:39 | parametric | 2 | 108824 | 6 | 3.423 | 31792.0 |
| 353 | 2025-11-25 08:34:25 | parametric | 3 | 140603 | 28 | 5.716 | 24598.1 |
| 352 | 2025-11-24 15:02:46 | parametric | 1 | 67641 | 1 | 1.280 | 52844.5 |
| 351 | 2025-11-22 04:07:28 | parametric | 3 | 140603 | 28 | 16.750 | 8394.2 |
| 350 | 2025-11-16 00:12:53 | parametric | 2 | 108824 | 6 | 6.923 | 15719.2 |
| 349 | 2025-11-14 07:13:59 | parametric | 2 | 108824 | 6 | 5.250 | 20728.4 |
| 348 | 2025-11-13 23:46:42 | parametric | 1 | 67641 | 1 | 1.216 | 55625.8 |
| 347 | 2025-11-12 09:16:57 | parametric | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 346 | 2025-11-07 15:13:09 | parametric | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 345 | 2025-11-07 06:28:42 | parametric | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 344 | 2025-11-05 06:58:24 | parametric | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 343 | 2025-11-01 10:46:34 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 342 | 2025-10-23 15:43:00 | parametric | 1 | 67641 | 1 | 5.906 | 11452.9 |
| 341 | 2025-10-21 20:28:09 | parametric | 3 | 140603 | 28 | 34.910 | 4027.6 |
| 340 | 2025-10-12 22:36:51 | parametric | 2 | 108824 | 6 | 2.876 | 37838.7 |
| 339 | 2025-10-12 09:58:06 | parametric | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 338 | 2025-10-11 23:43:30 | parametric | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 337 | 2025-10-11 17:45:19 | parametric | 1 | 67641 | 1 | 1.263 | 53555.8 |
| 336 | 2025-10-10 08:40:11 | parametric | 3 | 140603 | 28 | 6.530 | 21531.9 |
| 335 | 2025-10-03 21:59:43 | parametric | 3 | 140603 | 28 | 5.940 | 23670.5 |
| 334 | 2025-10-03 04:01:53 | parametric | 3 | 140603 | 28 | 5.766 | 24384.8 |
| 333 | 2025-09-29 11:33:18 | parametric | 4 | 161450 | 130 | 11.033 | 14633.4 |
| 332 | 2025-09-29 08:11:59 | parametric | 2 | 108824 | 6 | 3.000 | 36274.7 |
| 331 | 2025-09-29 06:25:32 | parametric | 4 | 161450 | 130 | 10.436 | 15470.5 |
| 330 | 2025-09-28 15:33:47 | parametric | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 329 | 2025-09-27 04:27:56 | parametric | 1 | 67641 | 1 | 1.250 | 54112.8 |
| 328 | 2025-09-26 09:01:22 | parametric | 1 | 67641 | 1 | 1.233 | 54858.9 |
| 327 | 2025-09-20 15:45:25 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 326 | 2025-09-18 01:58:34 | parametric | 4 | 161450 | 130 | 12.110 | 13332.0 |
| 325 | 2025-09-17 13:33:04 | parametric | 4 | 161450 | 130 | 10.720 | 15060.6 |
| 324 | 2025-09-14 02:43:12 | parametric | 1 | 67641 | 1 | 1.153 | 58665.2 |
| 323 | 2025-09-13 02:15:14 | parametric | 3 | 140603 | 28 | 5.750 | 24452.7 |
| 322 | 2025-09-11 20:41:36 | parametric | 4 | 161450 | 130 | 11.580 | 13942.1 |
| 321 | 2025-09-09 10:02:19 | parametric | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 320 | 2025-09-09 05:55:43 | parametric | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 319 | 2025-09-09 00:44:20 | parametric | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 318 | 2025-09-07 01:34:11 | parametric | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 317 | 2025-09-06 22:55:32 | parametric | 4 | 161450 | 130 | 11.080 | 14571.3 |
| 316 | 2025-09-06 05:35:59 | parametric | 2 | 108824 | 6 | 3.123 | 34846.0 |
| 315 | 2025-08-31 14:47:19 | parametric | 4 | 161450 | 130 | 10.330 | 15629.2 |
| 314 | 2025-08-28 20:26:39 | parametric | 4 | 161450 | 130 | 15.126 | 10673.7 |
| 313 | 2025-08-28 17:42:39 | parametric | 4 | 161450 | 130 | 11.233 | 14372.8 |
| 312 | 2025-08-28 17:12:26 | parametric | 2 | 108824 | 6 | 4.220 | 25787.7 |
| 311 | 2025-08-28 10:51:21 | parametric | 4 | 161450 | 130 | 10.440 | 15464.6 |
| 310 | 2025-08-27 21:01:47 | parametric | 2 | 108824 | 6 | 3.140 | 34657.3 |
| 309 | 2025-08-27 08:03:30 | parametric | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 308 | 2025-08-27 04:04:38 | parametric | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 307 | 2025-08-15 07:01:37 | parametric | 3 | 140603 | 28 | 16.936 | 8302.0 |
| 306 | 2025-08-10 23:04:27 | parametric | 1 | 67641 | 1 | 3.016 | 22427.4 |
| 305 | 2025-08-10 12:58:35 | parametric | 3 | 140603 | 28 | 14.970 | 9392.3 |
| 304 | 2025-08-09 10:23:03 | parametric | 1 | 67641 | 1 | 2.860 | 23650.7 |
| 303 | 2025-08-07 18:36:33 | parametric | 1 | 67641 | 1 | 4.220 | 16028.7 |
| 302 | 2025-08-01 12:04:39 | parametric | 3 | 140603 | 28 | 32.486 | 4328.1 |
| 301 | 2025-07-27 20:58:56 | parametric | 3 | 140603 | 28 | 16.606 | 8467.0 |
| 300 | 2025-07-26 14:19:23 | parametric | 1 | 67641 | 1 | 4.626 | 14621.9 |
| 299 | 2025-07-25 05:16:56 | parametric | 1 | 67641 | 1 | 3.953 | 17111.3 |
| 298 | 2025-07-13 07:27:37 | parametric | 1 | 67641 | 1 | 2.343 | 28869.4 |
| 297 | 2025-07-10 04:19:10 | parametric | 1 | 67641 | 1 | 5.390 | 12549.4 |
| 296 | 2025-07-07 15:38:36 | parametric | 1 | 67641 | 1 | 5.140 | 13159.7 |
| 295 | 2025-07-07 10:14:14 | parametric | 1 | 67641 | 1 | 3.093 | 21869.1 |
| 294 | 2025-06-22 08:38:16 | parametric | 1 | 67641 | 1 | 5.140 | 13159.7 |
| 293 | 2025-06-04 00:17:04 | parametric | 1 | 67641 | 1 | 5.763 | 11737.1 |
| 292 | 2025-05-31 09:50:13 | parametric | 1 | 67641 | 1 | 8.343 | 8107.5 |
| 291 | 2025-05-12 04:51:12 | parametric | 1 | 67641 | 1 | 8.656 | 7814.3 |
| 290 | 2025-05-08 14:58:50 | parametric | 1 | 67641 | 1 | 5.670 | 11929.6 |
| 289 | 2025-05-04 01:28:58 | parametric | 1 | 67641 | 1 | 2.830 | 23901.4 |
| 288 | 2025-04-25 09:55:39 | parametric | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 287 | 2025-04-06 14:41:47 | parametric | 1 | 67641 | 1 | 5.673 | 11923.3 |