History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"exactitude"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 365 | 2025-10-22 02:08:57 | exactitude | 1 | 67641 | 2 | 2.890 | 23405.2 |
| 364 | 2025-10-19 05:33:51 | exactitude | 1 | 67641 | 2 | 1.123 | 60232.4 |
| 363 | 2025-10-15 12:14:23 | exactitude | 2 | 108824 | 3 | 2.640 | 41221.2 |
| 362 | 2025-09-28 06:11:03 | exactitude | 1 | 67641 | 2 | 1.030 | 65670.9 |
| 361 | 2025-09-23 11:44:25 | exactitude | 2 | 108824 | 3 | 2.936 | 37065.4 |
| 360 | 2025-09-17 04:44:28 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 359 | 2025-08-29 10:05:21 | exactitude | 2 | 108824 | 3 | 2.953 | 36852.0 |
| 358 | 2025-08-28 00:34:12 | exactitude | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 357 | 2025-08-26 19:46:29 | exactitude | 1 | 67641 | 2 | 1.203 | 56226.9 |
| 356 | 2025-08-09 21:59:29 | exactitude | 3 | 140603 | 15 | 13.890 | 10122.6 |
| 355 | 2025-08-09 12:04:29 | exactitude | 3 | 140603 | 15 | 6.610 | 21271.3 |
| 354 | 2025-08-08 23:13:45 | exactitude | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 353 | 2025-08-01 13:30:53 | exactitude | 4 | 161450 | 51 | 36.783 | 4389.3 |
| 352 | 2025-07-29 05:05:13 | exactitude | 4 | 161450 | 51 | 28.826 | 5600.8 |
| 351 | 2025-07-28 18:47:26 | exactitude | 3 | 140603 | 15 | 14.203 | 9899.5 |
| 350 | 2025-07-26 14:32:36 | exactitude | 1 | 67641 | 2 | 1.190 | 56841.2 |
| 349 | 2025-07-25 08:40:43 | exactitude | 1 | 67641 | 2 | 3.843 | 17601.1 |
| 348 | 2025-07-24 06:28:45 | exactitude | 1 | 67641 | 2 | 6.843 | 9884.7 |
| 347 | 2025-07-22 11:39:19 | exactitude | 1 | 67641 | 2 | 2.563 | 26391.3 |
| 346 | 2025-07-14 08:15:09 | exactitude | 4 | 161450 | 51 | 58.440 | 2762.7 |
| 345 | 2025-06-26 04:07:55 | exactitude | 1 | 67641 | 2 | 7.873 | 8591.5 |
| 344 | 2025-05-31 07:15:50 | exactitude | 4 | 161450 | 51 | 48.346 | 3339.5 |
| 343 | 2025-05-28 20:22:33 | exactitude | 1 | 67641 | 2 | 4.110 | 16457.7 |
| 342 | 2025-05-26 21:34:00 | exactitude | 1 | 67641 | 2 | 5.640 | 11993.1 |
| 341 | 2025-05-20 09:06:50 | exactitude | 1 | 67641 | 2 | 2.766 | 24454.4 |
| 340 | 2025-04-29 11:16:25 | exactitude | 3 | 140603 | 15 | 15.816 | 8889.9 |
| 339 | 2025-04-29 02:42:00 | exactitude | 4 | 161450 | 51 | 66.503 | 2427.7 |
| 338 | 2025-04-28 23:43:47 | exactitude | 2 | 108824 | 3 | 2.843 | 38277.9 |
| 337 | 2025-04-28 20:07:06 | exactitude | 4 | 161450 | 51 | 12.780 | 12633.0 |
| 336 | 2025-04-26 03:24:36 | exactitude | 4 | 161450 | 51 | 56.206 | 2872.5 |
| 335 | 2025-04-23 23:17:46 | exactitude | 4 | 161450 | 51 | 47.300 | 3413.3 |
| 334 | 2025-04-23 16:57:14 | exactitude | 4 | 161450 | 51 | 54.550 | 2959.7 |
| 333 | 2025-04-22 07:03:47 | exactitude | 4 | 161450 | 51 | 62.173 | 2596.8 |
| 332 | 2025-04-22 05:08:37 | exactitude | 3 | 140603 | 15 | 24.406 | 5761.0 |
| 331 | 2025-04-21 13:14:02 | exactitude | 5 | 173545 | 272 | 86.723 | 2001.1 |
| 330 | 2025-04-21 11:42:24 | exactitude | 2 | 108824 | 3 | 7.670 | 14188.3 |
| 329 | 2025-04-20 07:28:09 | exactitude | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 328 | 2025-04-06 13:42:00 | exactitude | 1 | 67641 | 2 | 5.686 | 11896.1 |
| 327 | 2025-03-29 04:32:26 | exactitude | 1 | 67641 | 2 | 5.970 | 11330.2 |
| 326 | 2025-03-28 23:07:04 | exactitude | 3 | 140603 | 15 | 33.750 | 4166.0 |
| 325 | 2025-03-24 23:24:42 | exactitude | 1 | 67641 | 2 | 5.826 | 11610.2 |
| 324 | 2025-03-24 01:49:48 | exactitude | 4 | 161450 | 51 | 12.970 | 12448.0 |
| 323 | 2025-03-13 23:05:51 | exactitude | 1 | 67641 | 2 | 7.580 | 8923.6 |
| 322 | 2025-03-13 21:08:46 | exactitude | 4 | 161450 | 51 | 55.330 | 2917.9 |
| 321 | 2025-03-10 02:56:04 | exactitude | 4 | 161450 | 51 | 29.076 | 5552.7 |
| 320 | 2025-03-07 01:40:40 | exactitude | 4 | 161450 | 51 | 75.503 | 2138.3 |
| 319 | 2025-03-01 11:27:40 | exactitude | 1 | 67641 | 2 | 5.033 | 13439.5 |
| 318 | 2025-03-01 03:16:48 | exactitude | 3 | 140603 | 15 | 16.563 | 8489.0 |
| 317 | 2025-02-22 11:26:15 | exactitude | 3 | 140603 | 15 | 48.703 | 2886.9 |
| 316 | 2025-02-18 20:26:27 | exactitude | 1 | 67641 | 2 | 4.720 | 14330.7 |
| 315 | 2025-02-18 20:15:25 | exactitude | 3 | 140603 | 15 | 30.750 | 4572.5 |
| 314 | 2025-02-18 20:15:14 | exactitude | 3 | 140603 | 15 | 31.830 | 4417.3 |
| 313 | 2025-02-17 18:40:27 | exactitude | 3 | 140603 | 15 | 30.186 | 4657.9 |
| 312 | 2025-02-15 13:02:11 | exactitude | 4 | 161450 | 51 | 74.240 | 2174.7 |
| 311 | 2025-02-15 12:56:07 | exactitude | 1 | 67641 | 2 | 5.703 | 11860.6 |
| 310 | 2025-02-11 15:47:35 | exactitude | 2 | 108824 | 3 | 13.436 | 8099.4 |
| 309 | 2025-02-02 08:47:58 | exactitude | 4 | 161450 | 51 | 67.243 | 2401.0 |
| 308 | 2025-02-02 08:45:14 | exactitude | 1 | 67641 | 2 | 4.923 | 13739.8 |
| 307 | 2025-02-02 08:44:12 | exactitude | 4 | 161450 | 51 | 31.016 | 5205.4 |
| 306 | 2025-01-31 20:15:34 | exactitude | 4 | 161450 | 51 | 55.190 | 2925.3 |
| 305 | 2025-01-31 20:15:41 | exactitude | 2 | 108824 | 3 | 12.313 | 8838.1 |
| 304 | 2025-01-31 20:13:55 | exactitude | 4 | 161450 | 51 | 43.143 | 3742.2 |
| 303 | 2025-01-29 02:34:17 | exactitude | 4 | 161450 | 51 | 54.063 | 2986.3 |
| 302 | 2025-01-22 06:26:19 | exactitude | 1 | 67641 | 2 | 6.516 | 10380.8 |
| 301 | 2025-01-22 00:24:11 | exactitude | 3 | 140603 | 15 | 29.630 | 4745.3 |
| 300 | 2025-01-18 00:29:08 | exactitude | 3 | 140603 | 15 | 29.060 | 4838.4 |
| 299 | 2025-01-16 15:37:08 | exactitude | 3 | 140603 | 15 | 31.876 | 4410.9 |
| 298 | 2025-01-16 15:37:08 | exactitude | 2 | 108824 | 3 | 15.266 | 7128.5 |
| 297 | 2025-01-14 14:11:09 | exactitude | 4 | 161450 | 51 | 61.143 | 2640.5 |
| 296 | 2025-01-14 14:10:05 | exactitude | 4 | 161450 | 51 | 29.360 | 5499.0 |
| 295 | 2025-01-14 14:10:06 | exactitude | 3 | 140603 | 15 | 24.190 | 5812.4 |
| 294 | 2025-01-14 14:10:08 | exactitude | 2 | 108824 | 3 | 12.296 | 8850.4 |
| 293 | 2025-01-14 14:10:02 | exactitude | 1 | 67641 | 2 | 4.560 | 14833.6 |
| 292 | 2025-01-02 11:10:44 | exactitude | 4 | 161450 | 51 | 57.906 | 2788.1 |
| 291 | 2024-12-29 11:30:17 | exactitude | 4 | 161450 | 51 | 52.113 | 3098.1 |
| 290 | 2024-12-24 06:28:59 | exactitude | 4 | 161450 | 51 | 56.676 | 2848.6 |
| 289 | 2024-12-24 06:29:00 | exactitude | 2 | 108824 | 3 | 14.796 | 7355.0 |
| 288 | 2024-12-24 06:28:01 | exactitude | 4 | 161450 | 51 | 54.066 | 2986.2 |
| 287 | 2024-12-24 06:25:35 | exactitude | 1 | 67641 | 2 | 4.986 | 13566.2 |
| 286 | 2024-12-18 03:07:34 | exactitude | 3 | 140603 | 15 | 28.940 | 4858.4 |
| 285 | 2024-12-16 10:53:49 | exactitude | 2 | 108824 | 3 | 10.110 | 10764.0 |
| 284 | 2024-12-16 10:48:26 | exactitude | 1 | 67641 | 2 | 7.563 | 8943.7 |
| 283 | 2024-12-15 23:07:45 | exactitude | 2 | 108824 | 3 | 14.876 | 7315.4 |
| 282 | 2024-12-15 23:05:05 | exactitude | 1 | 67641 | 2 | 1.186 | 57032.9 |
| 281 | 2024-12-09 08:50:08 | exactitude | 3 | 140603 | 15 | 29.703 | 4733.6 |
| 280 | 2024-12-09 03:17:10 | exactitude | 3 | 140603 | 15 | 34.566 | 4067.7 |
| 279 | 2024-12-09 03:17:12 | exactitude | 3 | 140603 | 15 | 27.250 | 5159.7 |
| 278 | 2024-12-09 03:17:12 | exactitude | 2 | 108824 | 3 | 10.423 | 10440.8 |
| 277 | 2024-12-09 01:35:00 | exactitude | 1 | 67641 | 2 | 4.750 | 14240.2 |
| 276 | 2024-12-08 17:17:46 | exactitude | 3 | 140603 | 15 | 40.046 | 3511.0 |
| 275 | 2024-12-01 05:06:16 | exactitude | 3 | 140603 | 15 | 37.236 | 3776.0 |
| 274 | 2024-11-18 11:14:55 | exactitude | 1 | 67641 | 2 | 3.076 | 21989.9 |
| 273 | 2024-11-15 14:24:00 | exactitude | 1 | 67641 | 2 | 5.563 | 12159.1 |
| 272 | 2024-11-07 23:27:16 | exactitude | 2 | 108824 | 3 | 10.063 | 10814.3 |
| 271 | 2024-11-03 10:39:21 | exactitude | 1 | 67641 | 2 | 7.906 | 8555.7 |
| 270 | 2024-10-25 03:54:44 | exactitude | 3 | 140603 | 15 | 43.580 | 3226.3 |
| 269 | 2024-10-21 08:29:40 | exactitude | 3 | 140603 | 15 | 24.423 | 5757.0 |
| 268 | 2024-10-18 20:56:16 | exactitude | 3 | 140603 | 15 | 38.766 | 3627.0 |
| 267 | 2024-10-18 20:56:17 | exactitude | 3 | 140603 | 15 | 31.703 | 4435.0 |
| 266 | 2024-10-18 20:51:05 | exactitude | 1 | 67641 | 2 | 6.313 | 10714.6 |