History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"suburb"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 360 | 2025-10-24 19:58:26 | suburb | 2 | 82551 | 15 | 6.610 | 12488.8 |
| 359 | 2025-10-24 11:42:40 | suburb | 2 | 82551 | 15 | 2.610 | 31628.7 |
| 358 | 2025-10-10 16:59:43 | suburb | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 357 | 2025-10-06 13:47:02 | suburb | 1 | 48755 | 2 | 1.060 | 45995.3 |
| 356 | 2025-10-06 05:26:36 | suburb | 1 | 48755 | 2 | 0.936 | 52088.7 |
| 355 | 2025-10-05 09:55:01 | suburb | 1 | 48755 | 2 | 0.843 | 57835.1 |
| 354 | 2025-09-29 15:29:35 | suburb | 1 | 48755 | 2 | 1.656 | 29441.4 |
| 353 | 2025-09-28 03:51:01 | suburb | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 352 | 2025-09-27 15:29:36 | suburb | 1 | 48755 | 2 | 0.876 | 55656.4 |
| 351 | 2025-09-26 01:32:32 | suburb | 1 | 48755 | 2 | 5.766 | 8455.6 |
| 350 | 2025-09-07 13:27:20 | suburb | 1 | 48755 | 2 | 0.860 | 56691.9 |
| 349 | 2025-09-05 14:23:18 | suburb | 1 | 48755 | 2 | 0.846 | 57630.0 |
| 348 | 2025-09-05 05:22:02 | suburb | 1 | 48755 | 2 | 0.923 | 52822.3 |
| 347 | 2025-09-04 11:25:24 | suburb | 1 | 48755 | 2 | 0.780 | 62506.4 |
| 346 | 2025-09-04 09:35:52 | suburb | 1 | 48755 | 2 | 0.906 | 53813.5 |
| 345 | 2025-08-29 16:36:42 | suburb | 1 | 48755 | 2 | 0.953 | 51159.5 |
| 344 | 2025-08-29 05:20:14 | suburb | 1 | 48755 | 2 | 0.813 | 59969.2 |
| 343 | 2025-08-28 04:05:33 | suburb | 1 | 48755 | 2 | 0.906 | 53813.5 |
| 342 | 2025-08-25 01:41:34 | suburb | 1 | 48755 | 2 | 4.250 | 11471.8 |
| 341 | 2025-08-12 16:49:53 | suburb | 1 | 48755 | 2 | 1.466 | 33257.2 |
| 340 | 2025-08-05 14:07:12 | suburb | 1 | 48755 | 2 | 2.140 | 22782.7 |
| 339 | 2025-08-05 07:29:48 | suburb | 1 | 48755 | 2 | 5.593 | 8717.1 |
| 338 | 2025-08-04 12:41:57 | suburb | 1 | 48755 | 2 | 3.126 | 15596.6 |
| 337 | 2025-07-29 06:14:50 | suburb | 1 | 48755 | 2 | 3.330 | 14641.1 |
| 336 | 2025-07-28 00:46:45 | suburb | 1 | 48755 | 2 | 3.940 | 12374.4 |
| 335 | 2025-07-24 03:02:36 | suburb | 1 | 48755 | 2 | 3.423 | 14243.4 |
| 334 | 2025-07-23 14:34:13 | suburb | 1 | 48755 | 2 | 1.970 | 24748.7 |
| 333 | 2025-07-10 21:03:39 | suburb | 1 | 48755 | 2 | 2.766 | 17626.5 |
| 332 | 2025-07-05 07:38:23 | suburb | 2 | 82551 | 15 | 6.656 | 12402.5 |
| 331 | 2025-07-05 06:43:31 | suburb | 1 | 48755 | 2 | 3.580 | 13618.7 |
| 330 | 2025-07-04 11:19:31 | suburb | 1 | 48755 | 2 | 0.890 | 54780.9 |
| 329 | 2025-07-02 13:52:38 | suburb | 1 | 48755 | 2 | 3.876 | 12578.7 |
| 328 | 2025-07-02 13:52:22 | suburb | 1 | 48755 | 2 | 3.140 | 15527.1 |
| 327 | 2025-06-22 01:53:33 | suburb | 1 | 48755 | 2 | 1.733 | 28133.3 |
| 326 | 2025-06-21 09:20:55 | suburb | 1 | 48755 | 2 | 1.890 | 25796.3 |
| 325 | 2025-06-20 03:55:13 | suburb | 1 | 48755 | 2 | 4.813 | 10129.9 |
| 324 | 2025-06-15 03:58:25 | suburb | 2 | 82551 | 15 | 2.436 | 33887.9 |
| 323 | 2025-06-14 04:58:31 | suburb | 3 | 112716 | 191 | 34.296 | 3286.6 |
| 322 | 2025-06-13 17:26:03 | suburb | 3 | 112716 | 191 | 5.453 | 20670.5 |
| 321 | 2025-06-12 04:46:22 | suburb | 1 | 48755 | 2 | 3.623 | 13457.1 |
| 320 | 2025-06-11 08:12:16 | suburb | 2 | 82551 | 15 | 8.436 | 9785.6 |
| 319 | 2025-06-11 04:00:45 | suburb | 3 | 112716 | 191 | 13.986 | 8059.2 |
| 318 | 2025-06-04 06:13:12 | suburb | 1 | 48755 | 2 | 4.250 | 11471.8 |
| 317 | 2025-06-02 10:25:09 | suburb | 1 | 48755 | 2 | 2.576 | 18926.6 |
| 316 | 2025-05-14 00:34:02 | suburb | 3 | 112716 | 191 | 35.003 | 3220.2 |
| 315 | 2025-05-12 23:51:01 | suburb | 2 | 82551 | 15 | 13.283 | 6214.8 |
| 314 | 2025-05-11 08:28:48 | suburb | 2 | 82551 | 15 | 2.470 | 33421.5 |
| 313 | 2025-05-11 03:54:19 | suburb | 3 | 112716 | 191 | 35.490 | 3176.0 |
| 312 | 2025-05-10 16:14:00 | suburb | 1 | 48755 | 2 | 4.156 | 11731.2 |
| 311 | 2025-05-06 10:17:46 | suburb | 1 | 48755 | 2 | 1.796 | 27146.4 |
| 310 | 2025-05-02 13:25:02 | suburb | 1 | 48755 | 2 | 1.936 | 25183.4 |
| 309 | 2025-05-02 09:33:32 | suburb | 1 | 48755 | 2 | 2.063 | 23633.1 |
| 308 | 2025-04-09 23:28:58 | suburb | 3 | 112716 | 191 | 9.250 | 12185.5 |
| 307 | 2025-04-09 04:21:17 | suburb | 3 | 112716 | 191 | 39.393 | 2861.3 |
| 306 | 2025-04-07 22:36:23 | suburb | 3 | 112716 | 191 | 20.923 | 5387.2 |
| 305 | 2025-04-04 16:29:47 | suburb | 3 | 112716 | 191 | 29.313 | 3845.3 |
| 304 | 2025-04-01 23:38:45 | suburb | 2 | 82551 | 15 | 11.033 | 7482.2 |
| 303 | 2025-04-01 21:57:23 | suburb | 3 | 112716 | 191 | 20.783 | 5423.5 |
| 302 | 2025-04-01 06:57:15 | suburb | 1 | 48755 | 2 | 1.060 | 45995.3 |
| 301 | 2025-03-31 11:35:45 | suburb | 1 | 48755 | 2 | 4.156 | 11731.2 |
| 300 | 2025-03-31 05:38:56 | suburb | 1 | 48755 | 2 | 4.970 | 9809.9 |
| 299 | 2025-03-20 03:09:35 | suburb | 1 | 48755 | 2 | 2.236 | 21804.6 |
| 298 | 2025-02-28 03:28:26 | suburb | 1 | 48755 | 2 | 3.936 | 12386.9 |
| 297 | 2025-02-26 01:56:38 | suburb | 1 | 48755 | 2 | 6.220 | 7838.4 |
| 296 | 2025-02-24 18:37:20 | suburb | 1 | 48755 | 2 | 2.373 | 20545.7 |
| 295 | 2025-02-24 12:43:37 | suburb | 1 | 48755 | 2 | 3.876 | 12578.7 |
| 294 | 2025-02-09 23:29:37 | suburb | 3 | 112716 | 191 | 26.173 | 4306.6 |
| 293 | 2025-02-09 19:44:29 | suburb | 3 | 112716 | 191 | 22.000 | 5123.5 |
| 292 | 2025-02-09 19:44:27 | suburb | 2 | 82551 | 15 | 12.860 | 6419.2 |
| 291 | 2025-02-07 19:42:07 | suburb | 3 | 112716 | 191 | 20.050 | 5621.7 |
| 290 | 2025-02-07 11:20:19 | suburb | 2 | 82551 | 15 | 12.203 | 6764.8 |
| 289 | 2025-02-06 15:44:54 | suburb | 3 | 112716 | 191 | 13.300 | 8474.9 |
| 288 | 2025-01-30 19:19:16 | suburb | 1 | 48755 | 2 | 4.203 | 11600.0 |
| 287 | 2025-01-27 13:18:48 | suburb | 1 | 48755 | 2 | 3.920 | 12437.5 |
| 286 | 2025-01-25 13:29:40 | suburb | 1 | 48755 | 2 | 5.296 | 9206.0 |
| 285 | 2025-01-22 18:47:25 | suburb | 1 | 48755 | 2 | 2.063 | 23633.1 |
| 284 | 2025-01-19 18:16:13 | suburb | 2 | 82551 | 15 | 12.796 | 6451.3 |
| 283 | 2025-01-19 18:15:55 | suburb | 1 | 48755 | 2 | 5.733 | 8504.3 |
| 282 | 2025-01-11 15:04:56 | suburb | 3 | 112716 | 191 | 27.750 | 4061.8 |
| 281 | 2025-01-10 04:46:04 | suburb | 3 | 112716 | 191 | 30.423 | 3705.0 |
| 280 | 2025-01-08 12:22:20 | suburb | 3 | 112716 | 191 | 30.550 | 3689.6 |
| 279 | 2025-01-08 10:20:01 | suburb | 3 | 112716 | 191 | 25.220 | 4469.3 |
| 278 | 2025-01-08 10:20:02 | suburb | 2 | 82551 | 15 | 13.236 | 6236.9 |
| 277 | 2024-12-28 10:34:25 | suburb | 1 | 48755 | 2 | 2.733 | 17839.4 |
| 276 | 2024-12-24 12:33:08 | suburb | 1 | 48755 | 2 | 1.733 | 28133.3 |
| 275 | 2024-12-21 12:37:29 | suburb | 1 | 48755 | 2 | 5.643 | 8639.9 |
| 274 | 2024-12-16 14:32:44 | suburb | 1 | 48755 | 2 | 4.046 | 12050.2 |
| 273 | 2024-12-08 22:02:40 | suburb | 2 | 82551 | 15 | 11.050 | 7470.7 |
| 272 | 2024-11-26 03:34:15 | suburb | 2 | 82551 | 15 | 2.843 | 29036.6 |
| 271 | 2024-11-26 03:34:14 | suburb | 1 | 48755 | 2 | 0.940 | 51867.0 |
| 270 | 2024-11-25 09:51:04 | suburb | 2 | 82551 | 15 | 2.576 | 32046.2 |
| 269 | 2024-11-25 09:50:48 | suburb | 3 | 112716 | 191 | 5.953 | 18934.3 |
| 268 | 2024-11-25 08:36:20 | suburb | 3 | 112716 | 191 | 27.830 | 4050.2 |
| 267 | 2024-11-24 23:21:29 | suburb | 3 | 112716 | 191 | 20.346 | 5540.0 |
| 266 | 2024-11-24 09:45:25 | suburb | 3 | 112716 | 191 | 43.876 | 2569.0 |
| 265 | 2024-11-24 09:45:35 | suburb | 2 | 82551 | 15 | 8.860 | 9317.3 |
| 264 | 2024-11-24 09:45:16 | suburb | 1 | 48755 | 2 | 1.313 | 37132.5 |
| 263 | 2024-11-16 14:39:30 | suburb | 1 | 48755 | 2 | 3.766 | 12946.1 |
| 262 | 2024-11-13 22:37:37 | suburb | 1 | 48755 | 2 | 1.843 | 26454.2 |
| 261 | 2024-10-26 00:51:54 | suburb | 1 | 48755 | 2 | 4.750 | 10264.2 |