History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"subsampled"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 363 | 2025-10-26 18:23:18 | subsampled | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 362 | 2025-10-25 05:46:06 | subsampled | 1 | 67641 | 3 | 4.420 | 15303.4 |
| 361 | 2025-10-24 22:02:50 | subsampled | 1 | 67641 | 3 | 1.060 | 63812.3 |
| 360 | 2025-10-23 07:35:57 | subsampled | 1 | 67641 | 3 | 2.983 | 22675.5 |
| 359 | 2025-10-21 05:04:52 | subsampled | 1 | 67641 | 3 | 3.346 | 20215.5 |
| 358 | 2025-09-26 02:55:33 | subsampled | 1 | 67641 | 3 | 1.156 | 58513.0 |
| 357 | 2025-09-24 15:53:31 | subsampled | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 356 | 2025-09-23 22:55:12 | subsampled | 1 | 67641 | 3 | 1.063 | 63632.2 |
| 355 | 2025-09-23 04:33:13 | subsampled | 4 | 161450 | 61 | 9.343 | 17280.3 |
| 354 | 2025-09-18 12:02:30 | subsampled | 4 | 161450 | 61 | 11.076 | 14576.6 |
| 353 | 2025-09-16 01:34:33 | subsampled | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 352 | 2025-09-10 17:11:52 | subsampled | 3 | 140603 | 11 | 6.346 | 22156.2 |
| 351 | 2025-09-08 12:33:00 | subsampled | 3 | 140603 | 11 | 6.216 | 22619.5 |
| 350 | 2025-09-03 23:51:52 | subsampled | 2 | 108824 | 4 | 3.030 | 35915.5 |
| 349 | 2025-09-03 18:54:40 | subsampled | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 348 | 2025-08-31 08:11:56 | subsampled | 2 | 108824 | 4 | 3.046 | 35726.9 |
| 347 | 2025-07-25 07:38:19 | subsampled | 1 | 67641 | 3 | 2.780 | 24331.3 |
| 346 | 2025-07-25 02:38:21 | subsampled | 1 | 67641 | 3 | 2.516 | 26884.3 |
| 345 | 2025-07-24 07:16:15 | subsampled | 1 | 67641 | 3 | 7.753 | 8724.5 |
| 344 | 2025-07-24 02:44:50 | subsampled | 1 | 67641 | 3 | 4.170 | 16220.9 |
| 343 | 2025-07-24 00:23:19 | subsampled | 1 | 67641 | 3 | 2.533 | 26703.9 |
| 342 | 2025-07-19 10:46:33 | subsampled | 1 | 67641 | 3 | 5.220 | 12958.0 |
| 341 | 2025-07-13 07:41:01 | subsampled | 1 | 67641 | 3 | 1.143 | 59178.5 |
| 340 | 2025-05-19 22:15:13 | subsampled | 1 | 67641 | 3 | 4.343 | 15574.7 |
| 339 | 2025-04-14 08:15:07 | subsampled | 1 | 67641 | 3 | 5.796 | 11670.3 |
| 338 | 2025-03-28 23:18:58 | subsampled | 1 | 67641 | 3 | 2.673 | 25305.3 |
| 337 | 2025-03-20 08:01:40 | subsampled | 1 | 67641 | 3 | 3.450 | 19606.1 |
| 336 | 2025-03-07 01:36:33 | subsampled | 3 | 140603 | 11 | 41.406 | 3395.7 |
| 335 | 2025-03-07 01:36:31 | subsampled | 2 | 108824 | 4 | 18.236 | 5967.5 |
| 334 | 2025-03-07 00:46:59 | subsampled | 1 | 67641 | 3 | 5.623 | 12029.3 |
| 333 | 2025-02-25 03:58:05 | subsampled | 3 | 140603 | 11 | 23.626 | 5951.2 |
| 332 | 2025-02-25 03:58:02 | subsampled | 3 | 140603 | 11 | 26.110 | 5385.0 |
| 331 | 2025-02-25 03:58:01 | subsampled | 2 | 108824 | 4 | 17.313 | 6285.7 |
| 330 | 2025-02-25 03:56:56 | subsampled | 1 | 67641 | 3 | 5.500 | 12298.4 |
| 329 | 2025-02-19 13:44:42 | subsampled | 3 | 140603 | 11 | 33.330 | 4218.5 |
| 328 | 2025-02-01 04:49:06 | subsampled | 3 | 140603 | 11 | 33.613 | 4183.0 |
| 327 | 2025-01-29 19:57:52 | subsampled | 1 | 67641 | 3 | 4.046 | 16718.0 |
| 326 | 2025-01-29 06:11:59 | subsampled | 3 | 140603 | 11 | 31.360 | 4483.5 |
| 325 | 2025-01-29 06:11:29 | subsampled | 3 | 140603 | 11 | 39.520 | 3557.8 |
| 324 | 2025-01-29 06:11:52 | subsampled | 2 | 108824 | 4 | 13.360 | 8145.5 |
| 323 | 2025-01-29 06:11:26 | subsampled | 3 | 140603 | 11 | 32.736 | 4295.1 |
| 322 | 2025-01-29 06:08:32 | subsampled | 1 | 67641 | 3 | 1.890 | 35788.9 |
| 321 | 2025-01-26 20:43:14 | subsampled | 3 | 140603 | 11 | 43.893 | 3203.3 |
| 320 | 2025-01-26 20:43:12 | subsampled | 3 | 140603 | 11 | 43.580 | 3226.3 |
| 319 | 2025-01-26 20:43:15 | subsampled | 2 | 108824 | 4 | 15.206 | 7156.6 |
| 318 | 2025-01-26 20:32:54 | subsampled | 1 | 67641 | 3 | 1.250 | 54112.8 |
| 317 | 2025-01-01 11:05:46 | subsampled | 3 | 140603 | 11 | 32.283 | 4355.3 |
| 316 | 2025-01-01 11:05:40 | subsampled | 3 | 140603 | 11 | 33.173 | 4238.5 |
| 315 | 2025-01-01 11:05:49 | subsampled | 2 | 108824 | 4 | 22.126 | 4918.4 |
| 314 | 2025-01-01 11:04:20 | subsampled | 1 | 67641 | 3 | 4.203 | 16093.5 |
| 313 | 2024-12-25 00:16:00 | subsampled | 1 | 67641 | 3 | 5.783 | 11696.5 |
| 312 | 2024-12-22 02:54:41 | subsampled | 3 | 140603 | 11 | 32.266 | 4357.6 |
| 311 | 2024-12-22 02:54:55 | subsampled | 2 | 108824 | 4 | 8.093 | 13446.7 |
| 310 | 2024-12-22 02:52:13 | subsampled | 1 | 67641 | 3 | 1.046 | 64666.3 |
| 309 | 2024-12-21 21:17:56 | subsampled | 3 | 140603 | 11 | 32.076 | 4383.4 |
| 308 | 2024-12-21 21:17:57 | subsampled | 2 | 108824 | 4 | 15.186 | 7166.1 |
| 307 | 2024-12-21 21:17:20 | subsampled | 3 | 140603 | 11 | 31.500 | 4463.6 |
| 306 | 2024-12-21 21:17:13 | subsampled | 3 | 140603 | 11 | 31.596 | 4450.0 |
| 305 | 2024-12-21 21:14:36 | subsampled | 1 | 67641 | 3 | 7.406 | 9133.3 |
| 304 | 2024-11-24 15:46:25 | subsampled | 2 | 108824 | 4 | 13.296 | 8184.7 |
| 303 | 2024-11-24 15:44:41 | subsampled | 1 | 67641 | 3 | 2.376 | 28468.4 |
| 302 | 2024-11-19 12:20:31 | subsampled | 1 | 67641 | 3 | 2.560 | 26422.3 |
| 301 | 2024-11-17 05:52:29 | subsampled | 3 | 140603 | 11 | 38.566 | 3645.8 |
| 300 | 2024-11-17 05:52:30 | subsampled | 3 | 140603 | 11 | 28.406 | 4949.8 |
| 299 | 2024-11-17 05:52:30 | subsampled | 2 | 108824 | 4 | 15.610 | 6971.4 |
| 298 | 2024-11-17 05:51:51 | subsampled | 1 | 67641 | 3 | 6.253 | 10817.4 |
| 297 | 2024-11-14 02:54:59 | subsampled | 3 | 140603 | 11 | 36.173 | 3887.0 |
| 296 | 2024-11-11 23:44:13 | subsampled | 3 | 140603 | 11 | 32.376 | 4342.8 |
| 295 | 2024-11-11 01:22:44 | subsampled | 3 | 140603 | 11 | 37.626 | 3736.9 |
| 294 | 2024-11-10 14:46:10 | subsampled | 1 | 67641 | 3 | 1.190 | 56841.2 |
| 293 | 2024-10-16 18:01:16 | subsampled | 2 | 108824 | 4 | 19.503 | 5579.9 |
| 292 | 2024-10-16 17:55:48 | subsampled | 1 | 67641 | 3 | 2.813 | 24045.9 |
| 291 | 2024-10-15 13:44:53 | subsampled | 2 | 108824 | 4 | 7.516 | 14479.0 |
| 290 | 2024-10-15 13:43:05 | subsampled | 1 | 67641 | 3 | 6.080 | 11125.2 |
| 289 | 2024-09-24 04:18:13 | subsampled | 1 | 67641 | 3 | 8.390 | 8062.1 |
| 288 | 2024-09-23 01:52:32 | subsampled | 3 | 140603 | 11 | 30.850 | 4557.6 |
| 287 | 2024-09-13 09:26:13 | subsampled | 3 | 140603 | 11 | 52.600 | 2673.1 |
| 286 | 2024-09-13 09:26:12 | subsampled | 4 | 161450 | 61 | 48.833 | 3306.2 |
| 285 | 2024-09-13 09:26:14 | subsampled | 2 | 108824 | 4 | 23.193 | 4692.1 |
| 284 | 2024-09-13 09:24:48 | subsampled | 1 | 67641 | 3 | 6.703 | 10091.2 |
| 283 | 2024-09-05 09:03:00 | subsampled | 4 | 161450 | 61 | 99.003 | 1630.8 |
| 282 | 2024-09-04 06:06:43 | subsampled | 4 | 161450 | 61 | 67.363 | 2396.7 |
| 281 | 2024-08-25 21:39:11 | subsampled | 4 | 161450 | 61 | 49.250 | 3278.2 |
| 280 | 2024-08-23 16:42:06 | subsampled | 4 | 161450 | 61 | 111.380 | 1449.5 |
| 279 | 2024-08-17 14:32:14 | subsampled | 4 | 161450 | 61 | 59.753 | 2702.0 |
| 278 | 2024-08-17 14:31:52 | subsampled | 1 | 67641 | 3 | 11.906 | 5681.3 |
| 277 | 2024-08-17 14:28:43 | subsampled | 2 | 108824 | 4 | 24.233 | 4490.7 |
| 276 | 2024-08-17 02:09:23 | subsampled | 1 | 67641 | 3 | 2.440 | 27721.7 |
| 275 | 2024-08-08 07:43:08 | subsampled | 1 | 67641 | 3 | 2.983 | 22675.5 |
| 274 | 2024-08-06 09:52:27 | subsampled | 2 | 108824 | 4 | 6.310 | 17246.3 |
| 273 | 2024-08-06 09:50:01 | subsampled | 1 | 67641 | 3 | 3.830 | 17660.8 |
| 272 | 2024-07-30 10:06:50 | subsampled | 2 | 108824 | 4 | 11.750 | 9261.6 |
| 271 | 2024-07-30 10:04:38 | subsampled | 1 | 67641 | 3 | 4.503 | 15021.3 |
| 270 | 2024-07-25 11:17:25 | subsampled | 4 | 161450 | 61 | 52.033 | 3102.8 |
| 269 | 2024-07-24 10:35:26 | subsampled | 4 | 161450 | 61 | 21.830 | 7395.8 |
| 268 | 2024-07-24 05:31:00 | subsampled | 3 | 140603 | 11 | 24.470 | 5745.9 |
| 267 | 2024-07-23 14:07:38 | subsampled | 4 | 161450 | 61 | 42.486 | 3800.1 |
| 266 | 2024-07-23 14:07:29 | subsampled | 3 | 140603 | 11 | 34.470 | 4079.0 |
| 265 | 2024-07-23 12:42:49 | subsampled | 4 | 161450 | 61 | 34.110 | 4733.2 |
| 264 | 2024-07-21 07:43:07 | subsampled | 3 | 140603 | 11 | 11.330 | 12409.8 |