History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"speediest"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 343 | 2025-10-17 09:25:22 | speediest | 3 | 148641 | 130 | 27.360 | 5432.8 |
| 342 | 2025-10-02 12:49:05 | speediest | 1 | 81242 | 3 | 1.296 | 62686.7 |
| 341 | 2025-09-08 21:15:11 | speediest | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 340 | 2025-09-01 23:13:07 | speediest | 1 | 81242 | 3 | 1.360 | 59736.8 |
| 339 | 2025-08-19 02:20:24 | speediest | 2 | 121436 | 23 | 8.203 | 14803.9 |
| 338 | 2025-08-17 05:50:01 | speediest | 1 | 81242 | 3 | 3.000 | 27080.7 |
| 337 | 2025-08-17 03:16:58 | speediest | 1 | 81242 | 3 | 6.796 | 11954.4 |
| 336 | 2025-08-16 20:45:32 | speediest | 1 | 81242 | 3 | 3.593 | 22611.2 |
| 335 | 2025-08-15 05:51:18 | speediest | 1 | 81242 | 3 | 2.580 | 31489.1 |
| 334 | 2025-08-14 04:15:12 | speediest | 1 | 81242 | 3 | 1.440 | 56418.1 |
| 333 | 2025-08-13 18:25:23 | speediest | 1 | 81242 | 3 | 3.266 | 24875.1 |
| 332 | 2025-07-31 23:06:37 | speediest | 1 | 81242 | 3 | 9.360 | 8679.7 |
| 331 | 2025-07-28 15:50:46 | speediest | 2 | 121436 | 23 | 15.330 | 7921.5 |
| 330 | 2025-07-28 14:21:34 | speediest | 3 | 148641 | 130 | 18.360 | 8095.9 |
| 329 | 2025-07-28 05:04:53 | speediest | 3 | 148641 | 130 | 29.440 | 5048.9 |
| 328 | 2025-07-27 00:26:16 | speediest | 1 | 81242 | 3 | 6.220 | 13061.4 |
| 327 | 2025-07-25 14:08:27 | speediest | 1 | 81242 | 3 | 5.930 | 13700.2 |
| 326 | 2025-07-24 23:26:39 | speediest | 1 | 81242 | 3 | 6.423 | 12648.6 |
| 325 | 2025-07-24 14:30:16 | speediest | 3 | 148641 | 130 | 37.033 | 4013.7 |
| 324 | 2025-07-23 23:00:35 | speediest | 3 | 148641 | 130 | 45.206 | 3288.1 |
| 323 | 2025-07-22 16:14:16 | speediest | 1 | 81242 | 3 | 6.530 | 12441.3 |
| 322 | 2025-07-21 18:42:49 | speediest | 1 | 81242 | 3 | 2.733 | 29726.3 |
| 321 | 2025-07-21 14:31:24 | speediest | 3 | 148641 | 130 | 7.310 | 20333.9 |
| 320 | 2025-07-19 06:23:44 | speediest | 1 | 81242 | 3 | 1.420 | 57212.7 |
| 319 | 2025-07-18 14:57:00 | speediest | 3 | 148641 | 130 | 31.110 | 4777.9 |
| 318 | 2025-07-16 21:20:57 | speediest | 3 | 148641 | 130 | 28.346 | 5243.8 |
| 317 | 2025-07-16 03:11:53 | speediest | 1 | 81242 | 3 | 1.623 | 50056.7 |
| 316 | 2025-07-14 14:39:14 | speediest | 3 | 148641 | 130 | 19.216 | 7735.3 |
| 315 | 2025-07-14 04:05:19 | speediest | 3 | 148641 | 130 | 23.310 | 6376.7 |
| 314 | 2025-07-13 05:53:58 | speediest | 1 | 81242 | 3 | 2.783 | 29192.2 |
| 313 | 2025-07-13 04:16:24 | speediest | 1 | 81242 | 3 | 1.516 | 53589.7 |
| 312 | 2025-07-11 10:13:32 | speediest | 2 | 121436 | 23 | 11.643 | 10430.0 |
| 311 | 2025-07-10 13:51:04 | speediest | 1 | 81242 | 3 | 1.466 | 55417.5 |
| 310 | 2025-07-10 12:40:40 | speediest | 1 | 81242 | 3 | 7.360 | 11038.3 |
| 309 | 2025-07-08 03:53:51 | speediest | 1 | 81242 | 3 | 5.410 | 15017.0 |
| 308 | 2025-06-25 02:04:58 | speediest | 3 | 148641 | 130 | 33.940 | 4379.5 |
| 307 | 2025-06-24 11:59:49 | speediest | 1 | 81242 | 3 | 6.953 | 11684.5 |
| 306 | 2025-06-21 03:23:18 | speediest | 3 | 148641 | 130 | 25.046 | 5934.7 |
| 305 | 2025-06-19 17:02:40 | speediest | 1 | 81242 | 3 | 1.576 | 51549.5 |
| 304 | 2025-06-18 21:12:41 | speediest | 3 | 148641 | 130 | 40.440 | 3675.6 |
| 303 | 2025-06-16 22:22:27 | speediest | 3 | 148641 | 130 | 45.360 | 3276.9 |
| 302 | 2025-06-14 23:00:03 | speediest | 3 | 148641 | 130 | 18.906 | 7862.1 |
| 301 | 2025-06-14 21:06:40 | speediest | 3 | 148641 | 130 | 35.923 | 4137.8 |
| 300 | 2025-06-14 00:27:19 | speediest | 1 | 81242 | 3 | 3.310 | 24544.4 |
| 299 | 2025-06-13 13:32:34 | speediest | 3 | 148641 | 130 | 7.050 | 21083.8 |
| 298 | 2025-06-08 06:24:47 | speediest | 1 | 81242 | 3 | 5.483 | 14817.1 |
| 297 | 2025-06-08 03:37:21 | speediest | 1 | 81242 | 3 | 7.156 | 11353.0 |
| 296 | 2025-05-27 06:10:54 | speediest | 2 | 121436 | 23 | 19.393 | 6261.8 |
| 295 | 2025-05-24 11:38:05 | speediest | 1 | 81242 | 3 | 7.156 | 11353.0 |
| 294 | 2025-05-24 01:55:26 | speediest | 2 | 121436 | 23 | 18.890 | 6428.6 |
| 293 | 2025-05-23 08:56:15 | speediest | 3 | 148641 | 130 | 33.343 | 4457.9 |
| 292 | 2025-05-20 04:26:52 | speediest | 2 | 121436 | 23 | 19.063 | 6370.2 |
| 291 | 2025-05-20 03:57:50 | speediest | 3 | 148641 | 130 | 34.503 | 4308.1 |
| 290 | 2025-05-18 23:17:47 | speediest | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 289 | 2025-05-16 21:13:48 | speediest | 1 | 81242 | 3 | 1.626 | 49964.3 |
| 288 | 2025-05-14 00:24:28 | speediest | 1 | 81242 | 3 | 4.313 | 18836.5 |
| 287 | 2025-05-08 06:40:38 | speediest | 1 | 81242 | 3 | 3.546 | 22910.9 |
| 286 | 2025-05-05 16:06:43 | speediest | 1 | 81242 | 3 | 4.373 | 18578.1 |
| 285 | 2025-04-23 11:07:10 | speediest | 1 | 81242 | 3 | 7.516 | 10809.2 |
| 284 | 2025-04-22 18:20:29 | speediest | 1 | 81242 | 3 | 1.343 | 60492.9 |
| 283 | 2025-04-21 06:38:27 | speediest | 1 | 81242 | 3 | 6.796 | 11954.4 |
| 282 | 2025-04-11 00:04:07 | speediest | 1 | 81242 | 3 | 5.766 | 14089.8 |
| 281 | 2025-04-08 05:26:48 | speediest | 1 | 81242 | 3 | 5.813 | 13975.9 |
| 280 | 2025-04-03 22:40:50 | speediest | 1 | 81242 | 3 | 4.173 | 19468.5 |
| 279 | 2025-04-02 06:00:10 | speediest | 1 | 81242 | 3 | 6.936 | 11713.1 |
| 278 | 2025-03-26 16:29:50 | speediest | 3 | 148641 | 130 | 55.140 | 2695.7 |
| 277 | 2025-03-25 04:56:26 | speediest | 3 | 148641 | 130 | 35.343 | 4205.7 |
| 276 | 2025-03-24 15:27:47 | speediest | 3 | 148641 | 130 | 27.500 | 5405.1 |
| 275 | 2025-03-23 13:18:33 | speediest | 1 | 81242 | 3 | 6.080 | 13362.2 |
| 274 | 2025-03-20 04:08:40 | speediest | 1 | 81242 | 3 | 9.970 | 8148.6 |
| 273 | 2025-03-14 10:18:01 | speediest | 3 | 148641 | 130 | 36.033 | 4125.1 |
| 272 | 2025-03-09 23:49:23 | speediest | 1 | 81242 | 3 | 3.673 | 22118.7 |
| 271 | 2025-02-18 11:07:02 | speediest | 2 | 121436 | 23 | 22.313 | 5442.4 |
| 270 | 2025-02-15 20:47:53 | speediest | 3 | 148641 | 130 | 34.533 | 4304.3 |
| 269 | 2025-02-15 11:31:47 | speediest | 2 | 121436 | 23 | 17.500 | 6939.2 |
| 268 | 2025-02-12 16:31:02 | speediest | 3 | 148641 | 130 | 41.656 | 3568.3 |
| 267 | 2025-02-12 16:31:00 | speediest | 2 | 121436 | 23 | 17.310 | 7015.4 |
| 266 | 2025-02-12 16:25:04 | speediest | 1 | 81242 | 3 | 2.983 | 27235.0 |
| 265 | 2025-02-05 16:03:53 | speediest | 3 | 148641 | 130 | 46.470 | 3198.6 |
| 264 | 2025-02-05 03:48:46 | speediest | 3 | 148641 | 130 | 28.190 | 5272.8 |
| 263 | 2025-02-04 23:56:52 | speediest | 3 | 148641 | 130 | 32.533 | 4568.9 |
| 262 | 2025-01-26 08:29:05 | speediest | 3 | 148641 | 130 | 41.596 | 3573.4 |
| 261 | 2025-01-15 10:22:28 | speediest | 2 | 121436 | 23 | 16.123 | 7531.8 |
| 260 | 2025-01-15 09:04:19 | speediest | 1 | 81242 | 3 | 5.530 | 14691.1 |
| 259 | 2025-01-11 20:28:03 | speediest | 1 | 81242 | 3 | 4.670 | 17396.6 |
| 258 | 2025-01-05 07:21:09 | speediest | 3 | 148641 | 130 | 51.723 | 2873.8 |
| 257 | 2025-01-04 12:53:54 | speediest | 3 | 148641 | 130 | 37.860 | 3926.1 |
| 256 | 2025-01-03 09:03:58 | speediest | 3 | 148641 | 130 | 37.300 | 3985.0 |
| 255 | 2025-01-03 09:03:59 | speediest | 2 | 121436 | 23 | 16.873 | 7197.1 |
| 254 | 2025-01-03 09:02:09 | speediest | 1 | 81242 | 3 | 4.703 | 17274.5 |
| 253 | 2024-12-14 04:52:56 | speediest | 2 | 121436 | 23 | 11.093 | 10947.1 |
| 252 | 2024-12-14 04:51:29 | speediest | 1 | 81242 | 3 | 6.576 | 12354.3 |
| 251 | 2024-12-07 03:07:27 | speediest | 1 | 81242 | 3 | 1.503 | 54053.2 |
| 250 | 2024-12-04 02:52:30 | speediest | 1 | 81242 | 3 | 6.686 | 12151.1 |
| 249 | 2024-11-30 21:58:19 | speediest | 2 | 121436 | 23 | 17.736 | 6846.9 |
| 248 | 2024-11-30 21:56:19 | speediest | 1 | 81242 | 3 | 5.156 | 15756.8 |
| 247 | 2024-11-21 09:17:13 | speediest | 3 | 148641 | 130 | 37.923 | 3919.5 |
| 246 | 2024-11-21 07:28:43 | speediest | 3 | 148641 | 130 | 34.486 | 4310.2 |
| 245 | 2024-11-18 21:41:22 | speediest | 3 | 148641 | 130 | 34.516 | 4306.4 |
| 244 | 2024-11-08 10:05:31 | speediest | 1 | 81242 | 3 | 3.423 | 23734.2 |