History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"nanosecond"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 343 | 2026-01-03 15:52:13 | nanosecond | 1 | 67641 | 2 | 1.153 | 58665.2 |
| 342 | 2025-10-11 05:32:58 | nanosecond | 1 | 67641 | 2 | 1.143 | 59178.5 |
| 341 | 2025-10-10 18:53:05 | nanosecond | 5 | 173545 | 132 | 17.393 | 9977.9 |
| 340 | 2025-08-29 17:48:50 | nanosecond | 2 | 108824 | 2 | 2.736 | 39774.9 |
| 339 | 2025-08-29 13:54:48 | nanosecond | 5 | 173545 | 132 | 17.783 | 9759.0 |
| 338 | 2025-08-29 13:52:57 | nanosecond | 1 | 67641 | 2 | 1.126 | 60071.9 |
| 337 | 2025-08-29 13:31:57 | nanosecond | 1 | 67641 | 2 | 1.110 | 60937.8 |
| 336 | 2025-08-29 11:58:29 | nanosecond | 2 | 108824 | 2 | 3.063 | 35528.6 |
| 335 | 2025-08-28 19:47:44 | nanosecond | 3 | 140603 | 3 | 5.610 | 25062.9 |
| 334 | 2025-08-28 18:54:09 | nanosecond | 3 | 140603 | 3 | 6.780 | 20737.9 |
| 333 | 2025-08-27 17:50:44 | nanosecond | 4 | 161450 | 16 | 10.626 | 15193.9 |
| 332 | 2025-08-26 18:56:32 | nanosecond | 1 | 67641 | 2 | 1.156 | 58513.0 |
| 331 | 2025-08-24 11:51:34 | nanosecond | 1 | 67641 | 2 | 1.076 | 62863.4 |
| 330 | 2025-08-18 12:29:49 | nanosecond | 4 | 161450 | 16 | 10.030 | 16096.7 |
| 329 | 2025-08-01 13:55:23 | nanosecond | 1 | 67641 | 2 | 5.266 | 12844.9 |
| 328 | 2025-07-24 17:23:20 | nanosecond | 1 | 67641 | 2 | 4.593 | 14727.0 |
| 327 | 2025-07-23 22:58:22 | nanosecond | 1 | 67641 | 2 | 4.140 | 16338.4 |
| 326 | 2025-06-23 03:48:34 | nanosecond | 2 | 108824 | 2 | 3.220 | 33796.3 |
| 325 | 2025-06-19 13:47:46 | nanosecond | 1 | 67641 | 2 | 1.826 | 37043.3 |
| 324 | 2025-04-04 09:46:55 | nanosecond | 4 | 161450 | 16 | 56.643 | 2850.3 |
| 323 | 2025-04-01 19:26:34 | nanosecond | 1 | 67641 | 2 | 5.296 | 12772.1 |
| 322 | 2025-03-21 16:13:12 | nanosecond | 4 | 161450 | 16 | 56.220 | 2871.8 |
| 321 | 2025-03-20 14:02:11 | nanosecond | 1 | 67641 | 2 | 2.810 | 24071.5 |
| 320 | 2025-03-15 18:11:28 | nanosecond | 4 | 161450 | 16 | 49.156 | 3284.4 |
| 319 | 2025-03-07 17:01:27 | nanosecond | 1 | 67641 | 2 | 7.813 | 8657.5 |
| 318 | 2025-03-06 14:00:31 | nanosecond | 4 | 161450 | 16 | 44.236 | 3649.7 |
| 317 | 2025-03-06 14:00:26 | nanosecond | 3 | 140603 | 3 | 23.563 | 5967.1 |
| 316 | 2025-03-06 14:00:25 | nanosecond | 2 | 108824 | 2 | 10.453 | 10410.8 |
| 315 | 2025-03-06 13:59:27 | nanosecond | 1 | 67641 | 2 | 5.596 | 12087.4 |
| 314 | 2025-03-03 20:16:22 | nanosecond | 1 | 67641 | 2 | 2.623 | 25787.6 |
| 313 | 2025-02-21 22:08:26 | nanosecond | 3 | 140603 | 3 | 28.533 | 4927.7 |
| 312 | 2025-02-21 22:07:17 | nanosecond | 3 | 140603 | 3 | 30.093 | 4672.3 |
| 311 | 2025-02-21 22:07:16 | nanosecond | 2 | 108824 | 2 | 14.046 | 7747.7 |
| 310 | 2025-02-21 22:06:56 | nanosecond | 1 | 67641 | 2 | 4.830 | 14004.3 |
| 309 | 2025-02-03 10:44:21 | nanosecond | 1 | 67641 | 2 | 5.470 | 12365.8 |
| 308 | 2025-01-29 07:40:33 | nanosecond | 2 | 108824 | 2 | 9.670 | 11253.8 |
| 307 | 2025-01-29 07:39:10 | nanosecond | 1 | 67641 | 2 | 5.420 | 12479.9 |
| 306 | 2025-01-04 11:34:59 | nanosecond | 3 | 140603 | 3 | 36.096 | 3895.3 |
| 305 | 2025-01-04 11:35:02 | nanosecond | 2 | 108824 | 2 | 22.220 | 4897.6 |
| 304 | 2025-01-04 11:34:23 | nanosecond | 3 | 140603 | 3 | 26.456 | 5314.6 |
| 303 | 2025-01-04 11:34:22 | nanosecond | 3 | 140603 | 3 | 26.363 | 5333.3 |
| 302 | 2025-01-04 11:29:59 | nanosecond | 1 | 67641 | 2 | 6.986 | 9682.4 |
| 301 | 2025-01-02 01:17:02 | nanosecond | 3 | 140603 | 3 | 30.736 | 4574.5 |
| 300 | 2025-01-02 01:16:45 | nanosecond | 3 | 140603 | 3 | 34.080 | 4125.7 |
| 299 | 2025-01-02 01:16:43 | nanosecond | 3 | 140603 | 3 | 33.440 | 4204.6 |
| 298 | 2025-01-02 01:16:52 | nanosecond | 2 | 108824 | 2 | 15.453 | 7042.3 |
| 297 | 2025-01-02 01:15:16 | nanosecond | 1 | 67641 | 2 | 4.283 | 15792.9 |
| 296 | 2024-12-30 12:57:34 | nanosecond | 3 | 140603 | 3 | 31.893 | 4408.6 |
| 295 | 2024-12-30 12:54:41 | nanosecond | 3 | 140603 | 3 | 32.656 | 4305.6 |
| 294 | 2024-12-24 02:36:15 | nanosecond | 3 | 140603 | 3 | 39.936 | 3520.7 |
| 293 | 2024-12-24 02:36:21 | nanosecond | 2 | 108824 | 2 | 24.860 | 4377.5 |
| 292 | 2024-12-24 02:34:51 | nanosecond | 3 | 140603 | 3 | 30.000 | 4686.8 |
| 291 | 2024-12-24 02:33:47 | nanosecond | 1 | 67641 | 2 | 4.826 | 14016.0 |
| 290 | 2024-12-23 03:56:00 | nanosecond | 3 | 140603 | 3 | 60.873 | 2309.8 |
| 289 | 2024-12-20 21:26:04 | nanosecond | 1 | 67641 | 2 | 5.656 | 11959.2 |
| 288 | 2024-11-23 07:34:41 | nanosecond | 3 | 140603 | 3 | 40.610 | 3462.3 |
| 287 | 2024-11-23 07:34:45 | nanosecond | 2 | 108824 | 2 | 22.393 | 4859.7 |
| 286 | 2024-11-23 07:33:11 | nanosecond | 3 | 140603 | 3 | 38.846 | 3619.5 |
| 285 | 2024-11-23 07:31:21 | nanosecond | 1 | 67641 | 2 | 2.830 | 23901.4 |
| 284 | 2024-11-23 05:15:24 | nanosecond | 4 | 161450 | 16 | 67.943 | 2376.3 |
| 283 | 2024-11-23 05:15:26 | nanosecond | 4 | 161450 | 16 | 52.676 | 3065.0 |
| 282 | 2024-11-23 05:15:46 | nanosecond | 3 | 140603 | 3 | 30.796 | 4565.6 |
| 281 | 2024-11-23 05:15:39 | nanosecond | 2 | 108824 | 2 | 16.376 | 6645.3 |
| 280 | 2024-11-23 05:12:58 | nanosecond | 1 | 67641 | 2 | 1.940 | 34866.5 |
| 279 | 2024-11-16 07:18:17 | nanosecond | 1 | 67641 | 2 | 1.140 | 59334.2 |
| 278 | 2024-11-04 12:25:34 | nanosecond | 3 | 140603 | 3 | 27.470 | 5118.4 |
| 277 | 2024-11-04 12:25:40 | nanosecond | 2 | 108824 | 2 | 7.703 | 14127.5 |
| 276 | 2024-11-04 12:24:58 | nanosecond | 3 | 140603 | 3 | 28.190 | 4987.7 |
| 275 | 2024-11-04 12:24:54 | nanosecond | 3 | 140603 | 3 | 14.126 | 9953.5 |
| 274 | 2024-11-04 12:24:38 | nanosecond | 1 | 67641 | 2 | 1.173 | 57665.0 |
| 273 | 2024-10-18 20:40:30 | nanosecond | 3 | 140603 | 3 | 31.826 | 4417.9 |
| 272 | 2024-10-18 20:40:06 | nanosecond | 3 | 140603 | 3 | 32.500 | 4326.2 |
| 271 | 2024-10-18 20:40:20 | nanosecond | 2 | 108824 | 2 | 15.250 | 7136.0 |
| 270 | 2024-10-18 20:39:46 | nanosecond | 3 | 140603 | 3 | 35.563 | 3953.6 |
| 269 | 2024-10-17 05:34:55 | nanosecond | 1 | 67641 | 2 | 2.420 | 27950.8 |
| 268 | 2024-10-16 07:32:18 | nanosecond | 3 | 140603 | 3 | 34.910 | 4027.6 |
| 267 | 2024-10-16 07:32:26 | nanosecond | 2 | 108824 | 2 | 16.780 | 6485.3 |
| 266 | 2024-10-16 07:26:59 | nanosecond | 1 | 67641 | 2 | 4.750 | 14240.2 |
| 265 | 2024-10-10 08:32:31 | nanosecond | 3 | 140603 | 3 | 17.860 | 7872.5 |
| 264 | 2024-10-09 23:30:46 | nanosecond | 1 | 67641 | 2 | 4.093 | 16526.0 |
| 263 | 2024-10-01 23:11:04 | nanosecond | 3 | 140603 | 3 | 72.456 | 1940.5 |
| 262 | 2024-10-01 23:11:17 | nanosecond | 3 | 140603 | 3 | 44.786 | 3139.4 |
| 261 | 2024-10-01 23:11:09 | nanosecond | 3 | 140603 | 3 | 46.990 | 2992.2 |
| 260 | 2024-10-01 23:11:18 | nanosecond | 2 | 108824 | 2 | 19.876 | 5475.1 |
| 259 | 2024-10-01 23:08:49 | nanosecond | 1 | 67641 | 2 | 4.796 | 14103.6 |
| 258 | 2024-09-13 15:53:46 | nanosecond | 2 | 108824 | 2 | 10.986 | 9905.7 |
| 257 | 2024-09-13 15:51:03 | nanosecond | 1 | 67641 | 2 | 8.250 | 8198.9 |
| 256 | 2024-09-09 09:47:42 | nanosecond | 3 | 140603 | 3 | 49.906 | 2817.4 |
| 255 | 2024-09-03 12:28:54 | nanosecond | 1 | 67641 | 2 | 7.000 | 9663.0 |
| 254 | 2024-09-01 11:28:54 | nanosecond | 3 | 140603 | 3 | 56.410 | 2492.5 |
| 253 | 2024-08-22 17:52:31 | nanosecond | 4 | 161450 | 16 | 66.003 | 2446.1 |
| 252 | 2024-08-22 17:52:34 | nanosecond | 3 | 140603 | 3 | 53.470 | 2629.6 |
| 251 | 2024-08-22 17:52:32 | nanosecond | 2 | 108824 | 2 | 11.126 | 9781.1 |
| 250 | 2024-08-22 17:52:22 | nanosecond | 1 | 67641 | 2 | 2.080 | 32519.7 |
| 249 | 2024-08-08 14:04:06 | nanosecond | 4 | 161450 | 16 | 59.236 | 2725.5 |
| 248 | 2024-08-08 14:04:20 | nanosecond | 3 | 140603 | 3 | 20.376 | 6900.4 |
| 247 | 2024-08-08 14:04:23 | nanosecond | 2 | 108824 | 2 | 12.970 | 8390.4 |
| 246 | 2024-08-08 14:01:13 | nanosecond | 1 | 67641 | 2 | 4.060 | 16660.3 |
| 245 | 2024-08-04 23:42:39 | nanosecond | 4 | 161450 | 16 | 55.160 | 2926.9 |
| 244 | 2024-08-04 23:42:50 | nanosecond | 3 | 140603 | 3 | 18.110 | 7763.8 |