History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prepacked"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 363 | 2025-12-18 18:16:22 | prepacked | 2 | 121436 | 16 | 4.126 | 29431.9 |
| 362 | 2025-12-14 15:51:08 | prepacked | 1 | 81242 | 2 | 6.970 | 11656.0 |
| 361 | 2025-12-11 19:07:22 | prepacked | 2 | 121436 | 16 | 17.250 | 7039.8 |
| 360 | 2025-12-08 17:21:30 | prepacked | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 359 | 2025-12-08 17:21:22 | prepacked | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 358 | 2025-12-08 02:38:04 | prepacked | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 357 | 2025-12-06 20:55:19 | prepacked | 1 | 81242 | 2 | 1.546 | 52549.8 |
| 356 | 2025-12-05 13:34:14 | prepacked | 2 | 121436 | 16 | 3.266 | 37181.9 |
| 355 | 2025-11-27 13:50:33 | prepacked | 1 | 81242 | 2 | 3.390 | 23965.2 |
| 354 | 2025-11-22 18:16:38 | prepacked | 3 | 148641 | 118 | 21.940 | 6774.9 |
| 353 | 2025-11-22 13:30:13 | prepacked | 2 | 121436 | 16 | 6.220 | 19523.5 |
| 352 | 2025-11-20 16:31:38 | prepacked | 1 | 81242 | 2 | 1.436 | 56575.2 |
| 351 | 2025-11-20 16:31:25 | prepacked | 1 | 81242 | 2 | 2.466 | 32944.8 |
| 350 | 2025-11-20 04:20:40 | prepacked | 3 | 148641 | 118 | 14.533 | 10227.8 |
| 349 | 2025-11-18 05:02:29 | prepacked | 1 | 81242 | 2 | 1.390 | 58447.5 |
| 348 | 2025-11-16 06:27:47 | prepacked | 1 | 81242 | 2 | 1.313 | 61875.1 |
| 347 | 2025-11-11 12:08:42 | prepacked | 1 | 81242 | 2 | 1.533 | 52995.4 |
| 346 | 2025-11-06 15:24:02 | prepacked | 2 | 121436 | 16 | 4.296 | 28267.2 |
| 345 | 2025-10-26 20:40:59 | prepacked | 1 | 81242 | 2 | 3.953 | 20552.0 |
| 344 | 2025-10-25 13:28:28 | prepacked | 1 | 81242 | 2 | 1.300 | 62493.8 |
| 343 | 2025-10-23 21:57:26 | prepacked | 1 | 81242 | 2 | 1.403 | 57905.9 |
| 342 | 2025-10-21 05:01:35 | prepacked | 3 | 148641 | 118 | 38.453 | 3865.5 |
| 341 | 2025-10-18 06:01:19 | prepacked | 1 | 81242 | 2 | 1.346 | 60358.1 |
| 340 | 2025-10-01 03:55:32 | prepacked | 1 | 81242 | 2 | 1.576 | 51549.5 |
| 339 | 2025-09-27 16:50:09 | prepacked | 1 | 81242 | 2 | 1.593 | 50999.4 |
| 338 | 2025-09-27 04:14:55 | prepacked | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 337 | 2025-09-25 14:58:35 | prepacked | 1 | 81242 | 2 | 3.593 | 22611.2 |
| 336 | 2025-09-25 10:47:37 | prepacked | 1 | 81242 | 2 | 4.860 | 16716.5 |
| 335 | 2025-09-24 17:03:25 | prepacked | 1 | 81242 | 2 | 2.890 | 28111.4 |
| 334 | 2025-09-24 17:03:14 | prepacked | 1 | 81242 | 2 | 1.343 | 60492.9 |
| 333 | 2025-09-17 05:42:44 | prepacked | 1 | 81242 | 2 | 1.300 | 62493.8 |
| 332 | 2025-09-16 23:44:32 | prepacked | 3 | 148641 | 118 | 14.830 | 10023.0 |
| 331 | 2025-09-16 23:23:26 | prepacked | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 330 | 2025-09-15 04:17:03 | prepacked | 1 | 81242 | 2 | 2.986 | 27207.6 |
| 329 | 2025-09-15 02:55:32 | prepacked | 1 | 81242 | 2 | 1.843 | 44081.4 |
| 328 | 2025-09-13 07:50:26 | prepacked | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 327 | 2025-08-28 09:13:16 | prepacked | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 326 | 2025-08-27 16:47:13 | prepacked | 1 | 81242 | 2 | 3.483 | 23325.3 |
| 325 | 2025-08-19 15:45:42 | prepacked | 3 | 148641 | 118 | 15.890 | 9354.4 |
| 324 | 2025-08-17 00:27:22 | prepacked | 1 | 81242 | 2 | 5.780 | 14055.7 |
| 323 | 2025-08-17 00:06:58 | prepacked | 3 | 148641 | 118 | 16.393 | 9067.3 |
| 322 | 2025-08-15 08:22:24 | prepacked | 3 | 148641 | 118 | 28.563 | 5204.0 |
| 321 | 2025-08-14 07:06:52 | prepacked | 3 | 148641 | 118 | 6.796 | 21871.8 |
| 320 | 2025-08-14 01:20:01 | prepacked | 1 | 81242 | 2 | 2.313 | 35124.1 |
| 319 | 2025-08-13 16:04:37 | prepacked | 2 | 121436 | 16 | 17.440 | 6963.1 |
| 318 | 2025-08-13 06:20:32 | prepacked | 1 | 81242 | 2 | 2.766 | 29371.7 |
| 317 | 2025-08-04 12:29:39 | prepacked | 1 | 81242 | 2 | 3.720 | 21839.2 |
| 316 | 2025-07-28 01:46:37 | prepacked | 2 | 121436 | 16 | 9.046 | 13424.3 |
| 315 | 2025-07-26 08:08:27 | prepacked | 3 | 148641 | 118 | 37.203 | 3995.4 |
| 314 | 2025-07-24 17:57:20 | prepacked | 1 | 81242 | 2 | 4.733 | 17165.0 |
| 313 | 2025-07-24 15:03:20 | prepacked | 1 | 81242 | 2 | 4.546 | 17871.1 |
| 312 | 2025-07-22 15:43:28 | prepacked | 1 | 81242 | 2 | 7.030 | 11556.5 |
| 311 | 2025-07-22 03:08:45 | prepacked | 2 | 121436 | 16 | 7.283 | 16673.9 |
| 310 | 2025-07-19 20:19:17 | prepacked | 3 | 148641 | 118 | 7.216 | 20598.8 |
| 309 | 2025-07-19 05:33:14 | prepacked | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 308 | 2025-07-18 06:26:19 | prepacked | 1 | 81242 | 2 | 5.923 | 13716.4 |
| 307 | 2025-07-15 13:16:25 | prepacked | 3 | 148641 | 118 | 17.233 | 8625.4 |
| 306 | 2025-07-14 03:10:15 | prepacked | 3 | 148641 | 118 | 39.203 | 3791.6 |
| 305 | 2025-07-13 01:20:22 | prepacked | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 304 | 2025-07-11 04:41:10 | prepacked | 2 | 121436 | 16 | 17.270 | 7031.6 |
| 303 | 2025-07-10 03:16:03 | prepacked | 1 | 81242 | 2 | 6.643 | 12229.7 |
| 302 | 2025-07-09 21:09:10 | prepacked | 2 | 121436 | 16 | 17.423 | 6969.9 |
| 301 | 2025-07-09 09:32:57 | prepacked | 2 | 121436 | 16 | 3.610 | 33638.8 |
| 300 | 2025-07-08 09:17:22 | prepacked | 3 | 148641 | 118 | 36.533 | 4068.7 |
| 299 | 2025-07-08 08:15:05 | prepacked | 2 | 121436 | 16 | 17.890 | 6787.9 |
| 298 | 2025-07-07 21:03:57 | prepacked | 1 | 81242 | 2 | 9.046 | 8981.0 |
| 297 | 2025-07-07 00:34:02 | prepacked | 3 | 148641 | 118 | 32.970 | 4508.4 |
| 296 | 2025-07-06 17:54:20 | prepacked | 3 | 148641 | 118 | 7.220 | 20587.4 |
| 295 | 2025-07-05 16:36:38 | prepacked | 3 | 148641 | 118 | 39.783 | 3736.3 |
| 294 | 2025-07-04 05:31:43 | prepacked | 1 | 81242 | 2 | 3.470 | 23412.7 |
| 293 | 2025-07-03 21:12:39 | prepacked | 3 | 148641 | 118 | 34.176 | 4349.3 |
| 292 | 2025-06-27 13:40:54 | prepacked | 1 | 81242 | 2 | 5.436 | 14945.2 |
| 291 | 2025-06-25 17:19:49 | prepacked | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 290 | 2025-06-18 23:21:01 | prepacked | 2 | 121436 | 16 | 18.893 | 6427.6 |
| 289 | 2025-06-16 09:28:28 | prepacked | 2 | 121436 | 16 | 10.483 | 11584.1 |
| 288 | 2025-06-15 05:25:35 | prepacked | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 287 | 2025-06-15 01:16:44 | prepacked | 3 | 148641 | 118 | 11.203 | 13268.0 |
| 286 | 2025-06-14 01:17:26 | prepacked | 3 | 148641 | 118 | 38.623 | 3848.5 |
| 285 | 2025-06-12 10:01:12 | prepacked | 1 | 81242 | 2 | 6.936 | 11713.1 |
| 284 | 2025-06-11 00:27:51 | prepacked | 1 | 81242 | 2 | 5.656 | 14363.9 |
| 283 | 2025-06-10 00:57:47 | prepacked | 1 | 81242 | 2 | 6.670 | 12180.2 |
| 282 | 2025-06-06 13:11:14 | prepacked | 3 | 148641 | 118 | 53.080 | 2800.3 |
| 281 | 2025-06-04 20:19:44 | prepacked | 3 | 148641 | 118 | 56.443 | 2633.5 |
| 280 | 2025-06-02 00:04:58 | prepacked | 3 | 148641 | 118 | 36.190 | 4107.2 |
| 279 | 2025-06-01 14:55:44 | prepacked | 3 | 148641 | 118 | 13.686 | 10860.8 |
| 278 | 2025-05-30 04:40:51 | prepacked | 3 | 148641 | 118 | 6.966 | 21338.1 |
| 277 | 2025-05-29 05:51:41 | prepacked | 3 | 148641 | 118 | 27.910 | 5325.7 |
| 276 | 2025-05-25 01:44:07 | prepacked | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 275 | 2025-05-20 18:13:51 | prepacked | 1 | 81242 | 2 | 3.533 | 22995.2 |
| 274 | 2025-05-16 17:57:17 | prepacked | 1 | 81242 | 2 | 9.456 | 8591.6 |
| 273 | 2025-05-16 13:11:56 | prepacked | 1 | 81242 | 2 | 6.003 | 13533.6 |
| 272 | 2025-05-14 18:48:37 | prepacked | 1 | 81242 | 2 | 1.546 | 52549.8 |
| 271 | 2025-05-12 10:50:17 | prepacked | 1 | 81242 | 2 | 3.763 | 21589.7 |
| 270 | 2025-04-26 15:01:28 | prepacked | 3 | 148641 | 118 | 23.270 | 6387.7 |
| 269 | 2025-04-24 21:27:40 | prepacked | 3 | 148641 | 118 | 6.436 | 23095.2 |
| 268 | 2025-04-14 17:30:19 | prepacked | 1 | 81242 | 2 | 7.126 | 11400.8 |
| 267 | 2025-04-10 01:11:05 | prepacked | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 266 | 2025-04-09 13:15:00 | prepacked | 1 | 81242 | 2 | 4.173 | 19468.5 |
| 265 | 2025-04-04 12:53:19 | prepacked | 3 | 148641 | 118 | 57.440 | 2587.8 |
| 264 | 2025-04-03 04:27:07 | prepacked | 3 | 148641 | 118 | 41.426 | 3588.1 |