History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"prognosed"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 364 | 2025-12-29 10:49:50 | prognosed | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 363 | 2025-12-29 07:35:59 | prognosed | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 362 | 2025-12-21 18:18:14 | prognosed | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 361 | 2025-12-21 18:14:47 | prognosed | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 360 | 2025-12-12 08:16:17 | prognosed | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 359 | 2025-11-23 13:52:13 | prognosed | 1 | 81242 | 3 | 2.733 | 29726.3 |
| 358 | 2025-11-18 20:05:09 | prognosed | 1 | 81242 | 3 | 1.486 | 54671.6 |
| 357 | 2025-11-16 04:55:09 | prognosed | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 356 | 2025-10-18 00:37:00 | prognosed | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 355 | 2025-09-20 03:15:21 | prognosed | 2 | 121436 | 5 | 3.296 | 36843.4 |
| 354 | 2025-09-12 08:35:26 | prognosed | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 353 | 2025-09-08 15:54:07 | prognosed | 1 | 81242 | 3 | 1.263 | 64324.6 |
| 352 | 2025-08-30 01:13:58 | prognosed | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 351 | 2025-08-23 08:57:05 | prognosed | 1 | 81242 | 3 | 9.610 | 8453.9 |
| 350 | 2025-08-09 12:15:43 | prognosed | 1 | 81242 | 3 | 9.860 | 8239.6 |
| 349 | 2025-08-09 05:13:59 | prognosed | 1 | 81242 | 3 | 6.733 | 12066.2 |
| 348 | 2025-08-09 04:19:31 | prognosed | 1 | 81242 | 3 | 3.643 | 22300.9 |
| 347 | 2025-08-05 22:26:01 | prognosed | 3 | 148641 | 40 | 16.783 | 8856.6 |
| 346 | 2025-08-05 03:23:31 | prognosed | 1 | 81242 | 3 | 3.376 | 24064.6 |
| 345 | 2025-08-04 14:33:25 | prognosed | 3 | 148641 | 40 | 8.673 | 17138.4 |
| 344 | 2025-07-23 21:57:06 | prognosed | 3 | 148641 | 40 | 29.753 | 4995.8 |
| 343 | 2025-07-19 11:02:17 | prognosed | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 342 | 2025-07-18 10:21:41 | prognosed | 1 | 81242 | 3 | 4.563 | 17804.5 |
| 341 | 2025-07-16 08:17:19 | prognosed | 3 | 148641 | 40 | 45.393 | 3274.5 |
| 340 | 2025-07-13 04:19:34 | prognosed | 3 | 148641 | 40 | 6.733 | 22076.5 |
| 339 | 2025-07-10 13:56:34 | prognosed | 3 | 148641 | 40 | 30.330 | 4900.8 |
| 338 | 2025-07-10 12:49:31 | prognosed | 3 | 148641 | 40 | 35.160 | 4227.6 |
| 337 | 2025-07-07 13:32:48 | prognosed | 3 | 148641 | 40 | 25.110 | 5919.6 |
| 336 | 2025-07-07 12:25:20 | prognosed | 3 | 148641 | 40 | 33.160 | 4482.5 |
| 335 | 2025-07-07 12:07:43 | prognosed | 2 | 121436 | 5 | 20.343 | 5969.4 |
| 334 | 2025-07-07 11:40:05 | prognosed | 3 | 148641 | 40 | 21.876 | 6794.7 |
| 333 | 2025-07-07 01:49:45 | prognosed | 1 | 81242 | 3 | 5.200 | 15623.5 |
| 332 | 2025-07-06 09:06:31 | prognosed | 1 | 81242 | 3 | 2.093 | 38816.1 |
| 331 | 2025-07-05 15:40:10 | prognosed | 4 | 165329 | 345 | 63.063 | 2621.6 |
| 330 | 2025-07-02 12:39:46 | prognosed | 2 | 121436 | 5 | 10.453 | 11617.3 |
| 329 | 2025-07-02 08:06:19 | prognosed | 4 | 165329 | 345 | 53.490 | 3090.8 |
| 328 | 2025-07-02 03:37:06 | prognosed | 1 | 81242 | 3 | 7.580 | 10717.9 |
| 327 | 2025-07-01 15:59:30 | prognosed | 3 | 148641 | 40 | 7.200 | 20644.6 |
| 326 | 2025-06-29 16:46:13 | prognosed | 3 | 148641 | 40 | 7.656 | 19415.0 |
| 325 | 2025-06-24 13:49:37 | prognosed | 1 | 81242 | 3 | 6.623 | 12266.6 |
| 324 | 2025-06-20 09:24:48 | prognosed | 3 | 148641 | 40 | 39.130 | 3798.6 |
| 323 | 2025-06-16 20:29:33 | prognosed | 3 | 148641 | 40 | 45.190 | 3289.2 |
| 322 | 2025-06-10 12:03:20 | prognosed | 3 | 148641 | 40 | 28.300 | 5252.3 |
| 321 | 2025-06-10 05:23:54 | prognosed | 1 | 81242 | 3 | 6.563 | 12378.8 |
| 320 | 2025-06-08 03:51:15 | prognosed | 3 | 148641 | 40 | 32.263 | 4607.2 |
| 319 | 2025-06-06 12:08:21 | prognosed | 3 | 148641 | 40 | 17.753 | 8372.7 |
| 318 | 2025-06-05 05:20:15 | prognosed | 3 | 148641 | 40 | 24.533 | 6058.8 |
| 317 | 2025-06-04 04:29:20 | prognosed | 3 | 148641 | 40 | 32.880 | 4520.7 |
| 316 | 2025-06-02 02:55:08 | prognosed | 1 | 81242 | 3 | 6.373 | 12747.8 |
| 315 | 2025-05-31 00:46:03 | prognosed | 4 | 165329 | 345 | 52.016 | 3178.4 |
| 314 | 2025-05-29 14:15:57 | prognosed | 4 | 165329 | 345 | 60.080 | 2751.8 |
| 313 | 2025-05-29 12:33:22 | prognosed | 2 | 121436 | 5 | 11.986 | 10131.5 |
| 312 | 2025-05-29 05:56:04 | prognosed | 4 | 165329 | 345 | 55.940 | 2955.5 |
| 311 | 2025-05-29 04:52:45 | prognosed | 3 | 148641 | 40 | 25.703 | 5783.0 |
| 310 | 2025-05-29 03:39:35 | prognosed | 1 | 81242 | 3 | 6.580 | 12346.8 |
| 309 | 2025-05-28 09:54:21 | prognosed | 1 | 81242 | 3 | 1.373 | 59171.2 |
| 308 | 2025-05-26 16:24:20 | prognosed | 3 | 148641 | 40 | 36.856 | 4033.0 |
| 307 | 2025-05-26 06:42:51 | prognosed | 3 | 148641 | 40 | 40.410 | 3678.3 |
| 306 | 2025-05-26 05:11:47 | prognosed | 2 | 121436 | 5 | 14.843 | 8181.4 |
| 305 | 2025-05-25 21:46:04 | prognosed | 4 | 165329 | 345 | 75.550 | 2188.3 |
| 304 | 2025-05-23 20:23:31 | prognosed | 3 | 148641 | 40 | 7.406 | 20070.3 |
| 303 | 2025-05-15 00:37:26 | prognosed | 3 | 148641 | 40 | 7.716 | 19264.0 |
| 302 | 2025-05-10 14:49:50 | prognosed | 3 | 148641 | 40 | 58.330 | 2548.3 |
| 301 | 2025-04-21 15:33:34 | prognosed | 3 | 148641 | 40 | 36.220 | 4103.8 |
| 300 | 2025-04-20 09:24:21 | prognosed | 1 | 81242 | 3 | 5.986 | 13572.0 |
| 299 | 2025-04-14 06:45:55 | prognosed | 4 | 165329 | 345 | 48.923 | 3379.4 |
| 298 | 2025-04-11 15:04:27 | prognosed | 4 | 165329 | 345 | 60.083 | 2751.7 |
| 297 | 2025-04-11 05:21:09 | prognosed | 3 | 148641 | 40 | 24.706 | 6016.4 |
| 296 | 2025-04-08 13:10:41 | prognosed | 3 | 148641 | 40 | 25.423 | 5846.7 |
| 295 | 2025-04-06 10:12:04 | prognosed | 2 | 121436 | 5 | 19.703 | 6163.3 |
| 294 | 2025-04-06 04:03:57 | prognosed | 2 | 121436 | 5 | 19.783 | 6138.4 |
| 293 | 2025-04-06 03:33:52 | prognosed | 3 | 148641 | 40 | 39.110 | 3800.6 |
| 292 | 2025-04-05 21:11:32 | prognosed | 4 | 165329 | 345 | 52.706 | 3136.8 |
| 291 | 2025-04-05 04:59:22 | prognosed | 3 | 148641 | 40 | 7.500 | 19818.8 |
| 290 | 2025-04-03 16:42:35 | prognosed | 2 | 121436 | 5 | 4.063 | 29888.3 |
| 289 | 2025-04-03 16:37:07 | prognosed | 2 | 121436 | 5 | 4.766 | 25479.6 |
| 288 | 2025-04-03 12:28:10 | prognosed | 3 | 148641 | 40 | 9.970 | 14908.8 |
| 287 | 2025-04-02 05:19:10 | prognosed | 1 | 81242 | 3 | 4.156 | 19548.1 |
| 286 | 2025-03-28 04:24:25 | prognosed | 1 | 81242 | 3 | 5.300 | 15328.7 |
| 285 | 2025-03-10 01:30:06 | prognosed | 3 | 148641 | 40 | 50.956 | 2917.0 |
| 284 | 2025-03-10 01:30:03 | prognosed | 2 | 121436 | 5 | 18.686 | 6498.8 |
| 283 | 2025-02-26 11:56:19 | prognosed | 1 | 81242 | 3 | 9.813 | 8279.0 |
| 282 | 2025-02-26 08:26:34 | prognosed | 2 | 121436 | 5 | 10.310 | 11778.5 |
| 281 | 2025-02-24 17:24:29 | prognosed | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 280 | 2025-02-24 16:07:22 | prognosed | 1 | 81242 | 3 | 3.670 | 22136.8 |
| 279 | 2025-02-18 02:19:12 | prognosed | 3 | 148641 | 40 | 46.126 | 3222.5 |
| 278 | 2025-02-18 02:19:08 | prognosed | 2 | 121436 | 5 | 13.906 | 8732.6 |
| 277 | 2025-02-18 02:17:41 | prognosed | 1 | 81242 | 3 | 5.156 | 15756.8 |
| 276 | 2025-02-16 04:55:47 | prognosed | 3 | 148641 | 40 | 36.250 | 4100.4 |
| 275 | 2025-02-12 00:13:31 | prognosed | 3 | 148641 | 40 | 38.283 | 3882.7 |
| 274 | 2025-02-11 02:22:28 | prognosed | 3 | 148641 | 40 | 37.516 | 3962.1 |
| 273 | 2025-02-08 01:50:17 | prognosed | 1 | 81242 | 3 | 6.626 | 12261.1 |
| 272 | 2025-01-13 23:32:52 | prognosed | 3 | 148641 | 40 | 41.376 | 3592.4 |
| 271 | 2025-01-13 23:32:52 | prognosed | 2 | 121436 | 5 | 18.423 | 6591.5 |
| 270 | 2025-01-13 23:20:51 | prognosed | 1 | 81242 | 3 | 6.650 | 12216.8 |
| 269 | 2025-01-06 13:22:14 | prognosed | 1 | 81242 | 3 | 3.420 | 23755.0 |
| 268 | 2025-01-04 02:21:54 | prognosed | 3 | 148641 | 40 | 34.750 | 4277.4 |
| 267 | 2025-01-04 02:22:01 | prognosed | 2 | 121436 | 5 | 15.516 | 7826.5 |
| 266 | 2025-01-04 02:21:44 | prognosed | 3 | 148641 | 40 | 24.063 | 6177.2 |
| 265 | 2024-12-30 11:13:33 | prognosed | 1 | 81242 | 3 | 3.420 | 23755.0 |