History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"metrically"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 403 | 2024-04-27 14:28:44 | metrically | 4 | 161450 | 308 | 34.453 | 4686.1 |
| 402 | 2024-04-27 04:17:14 | metrically | 4 | 161450 | 308 | 19.143 | 8433.9 |
| 401 | 2024-04-13 05:00:04 | metrically | 1 | 67641 | 1 | 1.300 | 52031.5 |
| 400 | 2024-04-12 22:34:57 | metrically | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 399 | 2024-04-06 18:09:12 | metrically | 1 | 67641 | 1 | 3.123 | 21659.0 |
| 398 | 2024-04-05 23:42:08 | metrically | 1 | 67641 | 1 | 4.313 | 15683.1 |
| 397 | 2024-04-02 02:08:53 | metrically | 4 | 161450 | 308 | 35.656 | 4528.0 |
| 396 | 2024-04-01 03:06:03 | metrically | 1 | 67641 | 1 | 3.860 | 17523.6 |
| 395 | 2024-03-29 23:38:03 | metrically | 4 | 161450 | 308 | 16.313 | 9897.0 |
| 394 | 2024-03-27 21:23:11 | metrically | 4 | 161450 | 308 | 34.456 | 4685.7 |
| 393 | 2024-03-27 21:04:57 | metrically | 4 | 161450 | 308 | 14.673 | 11003.2 |
| 392 | 2024-03-27 18:11:15 | metrically | 4 | 161450 | 308 | 40.880 | 3949.4 |
| 391 | 2024-03-27 18:11:16 | metrically | 2 | 108824 | 13 | 6.453 | 16864.1 |
| 390 | 2024-03-27 17:01:25 | metrically | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 389 | 2024-03-08 18:21:10 | metrically | 3 | 140603 | 78 | 17.110 | 8217.6 |
| 388 | 2024-03-08 12:45:41 | metrically | 3 | 140603 | 78 | 30.766 | 4570.1 |
| 387 | 2024-03-08 12:45:30 | metrically | 2 | 108824 | 13 | 4.080 | 26672.5 |
| 386 | 2024-03-08 10:59:12 | metrically | 3 | 140603 | 78 | 22.860 | 6150.6 |
| 385 | 2024-03-08 10:59:16 | metrically | 2 | 108824 | 13 | 7.673 | 14182.7 |
| 384 | 2024-03-08 10:58:55 | metrically | 1 | 67641 | 1 | 1.406 | 48108.8 |
| 383 | 2024-03-08 10:56:46 | metrically | 1 | 67641 | 1 | 3.406 | 19859.4 |
| 382 | 2024-03-06 05:43:15 | metrically | 1 | 67641 | 1 | 4.050 | 16701.5 |
| 381 | 2024-02-13 21:38:27 | metrically | 4 | 161450 | 308 | 14.486 | 11145.2 |
| 380 | 2024-02-09 05:45:02 | metrically | 4 | 161450 | 308 | 42.206 | 3825.3 |
| 379 | 2024-02-08 19:08:15 | metrically | 4 | 161450 | 308 | 32.503 | 4967.2 |
| 378 | 2024-02-08 19:08:15 | metrically | 2 | 108824 | 13 | 7.343 | 14820.1 |
| 377 | 2024-02-08 17:55:07 | metrically | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 376 | 2024-02-04 10:30:37 | metrically | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 375 | 2024-01-29 22:28:35 | metrically | 1 | 67641 | 1 | 1.203 | 56226.9 |
| 374 | 2024-01-29 22:26:55 | metrically | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 373 | 2024-01-23 10:34:07 | metrically | 1 | 67641 | 1 | 3.640 | 18582.7 |
| 372 | 2024-01-23 09:54:42 | metrically | 3 | 140603 | 78 | 15.220 | 9238.0 |
| 371 | 2024-01-16 04:09:44 | metrically | 3 | 140603 | 78 | 6.720 | 20923.1 |
| 370 | 2023-12-16 19:55:42 | metrically | 3 | 140603 | 78 | 7.250 | 19393.5 |
| 369 | 2023-12-16 19:55:40 | metrically | 2 | 108824 | 13 | 3.360 | 32388.1 |
| 368 | 2023-12-11 22:47:50 | metrically | 4 | 161450 | 308 | 24.113 | 6695.6 |
| 367 | 2023-12-01 17:25:59 | metrically | 1 | 67641 | 1 | 1.186 | 57032.9 |
| 366 | 2023-11-28 01:15:37 | metrically | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 365 | 2023-11-11 06:16:04 | metrically | 4 | 161450 | 308 | 12.203 | 13230.4 |
| 364 | 2023-11-11 06:16:08 | metrically | 3 | 140603 | 78 | 6.326 | 22226.2 |
| 363 | 2023-11-11 06:16:01 | metrically | 2 | 108824 | 13 | 2.733 | 39818.5 |
| 362 | 2023-11-07 10:38:51 | metrically | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 361 | 2023-10-25 23:16:42 | metrically | 1 | 67641 | 1 | 1.080 | 62630.6 |
| 360 | 2023-10-04 18:49:03 | metrically | 1 | 67641 | 1 | 1.093 | 61885.6 |
| 359 | 2023-09-16 09:51:54 | metrically | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 358 | 2023-09-12 14:16:48 | metrically | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 357 | 2023-07-01 18:08:24 | metrically | 1 | 67641 | 1 | 1.013 | 66773.0 |
| 356 | 2023-06-21 18:35:38 | metrically | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 355 | 2023-04-05 14:58:53 | metrically | 1 | 67641 | 1 | 0.986 | 68601.4 |
| 354 | 2023-03-15 10:09:24 | metrically | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 353 | 2023-01-19 08:34:52 | metrically | 1 | 67641 | 1 | 1.126 | 60071.9 |
| 352 | 2022-11-24 01:02:42 | metrically | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 351 | 2022-11-15 11:31:15 | metrically | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 350 | 2022-07-24 03:18:59 | metrically | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 349 | 2022-07-07 02:58:54 | metrically | 1 | 67641 | 1 | 1.000 | 67641.0 |
| 348 | 2022-03-22 21:39:05 | metrically | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 347 | 2022-03-09 16:52:24 | metrically | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 346 | 2022-01-06 02:31:13 | metrically | 1 | 67641 | 1 | 1.110 | 60937.8 |
| 345 | 2021-12-05 16:07:22 | metrically | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 344 | 2021-08-29 06:36:23 | metrically | 1 | 67641 | 1 | 1.016 | 66575.8 |
| 343 | 2021-06-28 17:34:18 | metrically | 3 | 140603 | 78 | 5.720 | 24580.9 |
| 342 | 2021-05-28 13:15:44 | metrically | 1 | 67641 | 1 | 1.156 | 58513.0 |
| 341 | 2021-02-25 12:25:38 | metrically | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 340 | 2020-11-25 13:06:31 | metrically | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 339 | 2020-10-21 15:40:00 | metrically | 1 | 67641 | 1 | 1.033 | 65480.2 |
| 338 | 2020-08-23 08:07:35 | metrically | 1 | 67641 | 1 | 1.046 | 64666.3 |
| 337 | 2020-08-20 03:31:53 | metrically | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 336 | 2020-05-18 20:58:26 | metrically | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 335 | 2020-05-15 16:37:57 | metrically | 1 | 67641 | 1 | 1.063 | 63632.2 |
| 334 | 2020-05-13 13:26:16 | metrically | 3 | 140603 | 78 | 6.330 | 22212.2 |
| 333 | 2020-03-25 22:14:51 | metrically | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 332 | 2020-03-23 10:03:01 | metrically | 1 | 67641 | 1 | 1.140 | 59334.2 |
| 331 | 2020-03-05 02:15:26 | metrically | 3 | 140603 | 78 | 6.830 | 20586.1 |
| 330 | 2020-03-04 08:22:47 | metrically | 3 | 140603 | 78 | 6.173 | 22777.1 |
| 329 | 2020-02-24 00:20:00 | metrically | 1 | 67641 | 1 | 1.173 | 57665.0 |
| 328 | 2020-02-23 02:47:56 | metrically | 4 | 161450 | 308 | 21.843 | 7391.4 |
| 327 | 2020-02-22 08:34:28 | metrically | 1 | 67641 | 1 | 2.203 | 30704.0 |
| 326 | 2020-02-21 13:59:27 | metrically | 4 | 161450 | 308 | 24.236 | 6661.6 |
| 325 | 2020-02-18 05:47:02 | metrically | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 324 | 2020-02-17 00:43:16 | metrically | 4 | 161450 | 308 | 39.316 | 4106.5 |
| 323 | 2020-02-13 00:14:31 | metrically | 1 | 67641 | 1 | 1.123 | 60232.4 |
| 322 | 2020-02-09 11:29:52 | metrically | 1 | 67641 | 1 | 2.513 | 26916.4 |
| 321 | 2020-02-08 14:10:17 | metrically | 4 | 161450 | 308 | 13.750 | 11741.8 |
| 320 | 2020-02-07 11:12:36 | metrically | 1 | 67641 | 1 | 2.500 | 27056.4 |
| 319 | 2020-02-03 22:01:46 | metrically | 4 | 161450 | 308 | 13.373 | 12072.8 |
| 318 | 2020-02-03 03:30:48 | metrically | 1 | 67641 | 1 | 1.296 | 52192.1 |
| 317 | 2020-01-30 20:27:07 | metrically | 4 | 161450 | 308 | 18.563 | 8697.4 |
| 316 | 2020-01-28 04:56:12 | metrically | 4 | 161450 | 308 | 30.110 | 5362.0 |
| 315 | 2020-01-28 03:04:22 | metrically | 1 | 67641 | 1 | 2.296 | 29460.4 |
| 314 | 2020-01-27 01:07:59 | metrically | 1 | 67641 | 1 | 1.266 | 53428.9 |
| 313 | 2020-01-21 22:31:18 | metrically | 4 | 161450 | 308 | 13.376 | 12070.1 |
| 312 | 2020-01-20 19:32:07 | metrically | 1 | 67641 | 1 | 1.190 | 56841.2 |
| 311 | 2020-01-18 15:28:17 | metrically | 2 | 108824 | 13 | 3.516 | 30951.1 |
| 310 | 2020-01-18 08:57:31 | metrically | 3 | 140603 | 78 | 11.593 | 12128.3 |
| 309 | 2020-01-17 09:44:13 | metrically | 3 | 140603 | 78 | 7.263 | 19358.8 |
| 308 | 2020-01-17 04:50:18 | metrically | 1 | 67641 | 1 | 1.236 | 54725.7 |
| 307 | 2020-01-13 13:37:56 | metrically | 1 | 67641 | 1 | 1.220 | 55443.4 |
| 306 | 2020-01-12 16:58:42 | metrically | 4 | 161450 | 308 | 26.250 | 6150.5 |
| 305 | 2020-01-12 15:55:27 | metrically | 4 | 161450 | 308 | 21.360 | 7558.5 |
| 304 | 2020-01-12 11:56:22 | metrically | 4 | 161450 | 308 | 11.376 | 14192.2 |