History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"tightener"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 339 | 2025-11-29 02:00:04 | tightener | 1 | 81242 | 4 | 1.343 | 60492.9 |
| 338 | 2025-10-27 17:33:44 | tightener | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 337 | 2025-10-21 06:47:52 | tightener | 1 | 81242 | 4 | 8.186 | 9924.5 |
| 336 | 2025-10-21 06:47:43 | tightener | 1 | 81242 | 4 | 7.830 | 10375.7 |
| 334 | 2025-10-21 06:47:47 | tightener | 1 | 81242 | 4 | 3.266 | 24875.1 |
| 333 | 2025-10-21 06:47:39 | tightener | 1 | 81242 | 4 | 6.610 | 12290.8 |
| 332 | 2025-10-18 08:39:06 | tightener | 1 | 81242 | 4 | 1.330 | 61084.2 |
| 331 | 2025-10-01 19:12:09 | tightener | 1 | 81242 | 4 | 1.296 | 62686.7 |
| 330 | 2025-09-25 14:46:11 | tightener | 1 | 81242 | 4 | 4.406 | 18438.9 |
| 329 | 2025-08-29 08:41:15 | tightener | 1 | 81242 | 4 | 1.453 | 55913.3 |
| 328 | 2025-08-19 16:27:31 | tightener | 1 | 81242 | 4 | 6.000 | 13540.3 |
| 327 | 2025-08-13 00:18:05 | tightener | 1 | 81242 | 4 | 2.920 | 27822.6 |
| 326 | 2025-08-10 15:16:50 | tightener | 1 | 81242 | 4 | 3.156 | 25742.1 |
| 325 | 2025-08-02 03:40:21 | tightener | 1 | 81242 | 4 | 7.456 | 10896.2 |
| 324 | 2025-07-30 11:43:49 | tightener | 1 | 81242 | 4 | 3.330 | 24397.0 |
| 323 | 2025-07-27 04:14:35 | tightener | 1 | 81242 | 4 | 8.953 | 9074.3 |
| 322 | 2025-07-26 19:39:39 | tightener | 1 | 81242 | 4 | 9.513 | 8540.1 |
| 321 | 2025-07-26 19:20:59 | tightener | 2 | 121436 | 10 | 9.656 | 12576.2 |
| 320 | 2025-07-26 12:29:56 | tightener | 3 | 148641 | 36 | 35.760 | 4156.6 |
| 319 | 2025-07-22 23:44:03 | tightener | 1 | 81242 | 4 | 5.563 | 14604.0 |
| 318 | 2025-07-19 16:20:27 | tightener | 2 | 121436 | 10 | 3.860 | 31460.1 |
| 317 | 2025-07-19 12:37:17 | tightener | 1 | 81242 | 4 | 1.343 | 60492.9 |
| 316 | 2025-07-15 12:59:33 | tightener | 1 | 81242 | 4 | 12.876 | 6309.6 |
| 315 | 2025-07-12 06:10:15 | tightener | 3 | 148641 | 36 | 7.470 | 19898.4 |
| 314 | 2025-07-10 06:36:08 | tightener | 2 | 121436 | 10 | 26.046 | 4662.4 |
| 313 | 2025-07-09 15:29:19 | tightener | 3 | 148641 | 36 | 34.500 | 4308.4 |
| 312 | 2025-07-09 06:38:03 | tightener | 1 | 81242 | 4 | 1.470 | 55266.7 |
| 311 | 2025-07-05 00:50:55 | tightener | 1 | 81242 | 4 | 6.643 | 12229.7 |
| 310 | 2025-07-03 05:24:57 | tightener | 1 | 81242 | 4 | 1.533 | 52995.4 |
| 309 | 2025-07-02 10:33:43 | tightener | 3 | 148641 | 36 | 48.560 | 3061.0 |
| 308 | 2025-06-29 14:57:02 | tightener | 2 | 121436 | 10 | 5.753 | 21108.3 |
| 307 | 2025-06-29 00:45:34 | tightener | 3 | 148641 | 36 | 6.810 | 21826.9 |
| 306 | 2025-06-27 07:27:36 | tightener | 1 | 81242 | 4 | 2.610 | 31127.2 |
| 305 | 2025-06-17 03:15:51 | tightener | 3 | 148641 | 36 | 35.783 | 4154.0 |
| 304 | 2025-06-17 01:28:34 | tightener | 3 | 148641 | 36 | 35.063 | 4239.3 |
| 303 | 2025-06-15 05:44:02 | tightener | 1 | 81242 | 4 | 1.423 | 57092.1 |
| 302 | 2025-06-09 07:01:31 | tightener | 2 | 121436 | 10 | 3.266 | 37181.9 |
| 301 | 2025-06-07 16:07:53 | tightener | 1 | 81242 | 4 | 1.390 | 58447.5 |
| 300 | 2025-06-04 19:32:50 | tightener | 1 | 81242 | 4 | 6.500 | 12498.8 |
| 299 | 2025-06-04 00:33:33 | tightener | 1 | 81242 | 4 | 6.953 | 11684.5 |
| 298 | 2025-06-02 03:18:51 | tightener | 1 | 81242 | 4 | 6.940 | 11706.3 |
| 297 | 2025-05-31 04:33:18 | tightener | 2 | 121436 | 10 | 20.953 | 5795.6 |
| 296 | 2025-05-31 03:13:31 | tightener | 3 | 148641 | 36 | 30.736 | 4836.1 |
| 295 | 2025-05-28 10:11:08 | tightener | 1 | 81242 | 4 | 3.466 | 23439.7 |
| 294 | 2025-05-19 18:55:16 | tightener | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 293 | 2025-05-12 07:46:52 | tightener | 1 | 81242 | 4 | 6.546 | 12410.9 |
| 292 | 2025-05-10 02:40:05 | tightener | 1 | 81242 | 4 | 5.846 | 13897.0 |
| 291 | 2025-05-03 05:47:39 | tightener | 3 | 148641 | 36 | 36.346 | 4089.6 |
| 290 | 2025-05-01 15:33:44 | tightener | 1 | 81242 | 4 | 1.486 | 54671.6 |
| 289 | 2025-04-19 16:14:58 | tightener | 3 | 148641 | 36 | 7.296 | 20372.9 |
| 288 | 2025-04-17 20:21:09 | tightener | 2 | 121436 | 10 | 8.593 | 14132.0 |
| 287 | 2025-04-15 01:23:31 | tightener | 2 | 121436 | 10 | 11.343 | 10705.8 |
| 286 | 2025-04-14 23:00:54 | tightener | 3 | 148641 | 36 | 35.380 | 4201.3 |
| 285 | 2025-04-14 14:07:59 | tightener | 1 | 81242 | 4 | 6.390 | 12713.9 |
| 284 | 2025-04-01 23:31:36 | tightener | 1 | 81242 | 4 | 6.500 | 12498.8 |
| 283 | 2025-03-31 07:21:31 | tightener | 1 | 81242 | 4 | 6.516 | 12468.1 |
| 282 | 2025-03-26 08:45:01 | tightener | 1 | 81242 | 4 | 6.313 | 12869.0 |
| 281 | 2025-03-15 09:21:27 | tightener | 1 | 81242 | 4 | 3.766 | 21572.5 |
| 280 | 2025-03-03 09:09:38 | tightener | 1 | 81242 | 4 | 1.826 | 44491.8 |
| 279 | 2025-03-01 04:55:02 | tightener | 1 | 81242 | 4 | 5.610 | 14481.6 |
| 278 | 2025-02-02 15:44:33 | tightener | 3 | 148641 | 36 | 34.623 | 4293.1 |
| 277 | 2025-01-31 07:34:06 | tightener | 3 | 148641 | 36 | 35.766 | 4155.9 |
| 276 | 2025-01-31 07:34:07 | tightener | 2 | 121436 | 10 | 17.610 | 6895.9 |
| 275 | 2025-01-31 07:32:30 | tightener | 1 | 81242 | 4 | 3.186 | 25499.7 |
| 274 | 2025-01-28 22:17:50 | tightener | 1 | 81242 | 4 | 1.406 | 57782.4 |
| 273 | 2025-01-27 21:31:35 | tightener | 1 | 81242 | 4 | 1.266 | 64172.2 |
| 272 | 2025-01-23 14:43:05 | tightener | 1 | 81242 | 4 | 7.266 | 11181.1 |
| 271 | 2025-01-17 18:47:02 | tightener | 2 | 121436 | 10 | 17.610 | 6895.9 |
| 270 | 2025-01-07 02:25:45 | tightener | 2 | 121436 | 10 | 20.363 | 5963.6 |
| 269 | 2024-12-30 19:52:10 | tightener | 1 | 81242 | 4 | 2.856 | 28446.1 |
| 268 | 2024-12-27 06:55:18 | tightener | 1 | 81242 | 4 | 5.656 | 14363.9 |
| 267 | 2024-12-27 06:49:56 | tightener | 3 | 148641 | 36 | 35.906 | 4139.7 |
| 266 | 2024-12-24 02:52:28 | tightener | 3 | 148641 | 36 | 39.870 | 3728.1 |
| 265 | 2024-12-23 01:27:55 | tightener | 3 | 148641 | 36 | 37.376 | 3976.9 |
| 264 | 2024-12-23 01:27:50 | tightener | 2 | 121436 | 10 | 15.986 | 7596.4 |
| 263 | 2024-12-23 01:27:45 | tightener | 3 | 148641 | 36 | 19.470 | 7634.4 |
| 262 | 2024-12-23 01:26:15 | tightener | 1 | 81242 | 4 | 9.313 | 8723.5 |
| 261 | 2024-12-17 02:27:51 | tightener | 3 | 148641 | 36 | 38.300 | 3881.0 |
| 260 | 2024-12-17 02:26:13 | tightener | 1 | 81242 | 4 | 8.313 | 9772.9 |
| 259 | 2024-12-07 15:42:43 | tightener | 2 | 121436 | 10 | 9.046 | 13424.3 |
| 258 | 2024-12-04 07:51:12 | tightener | 2 | 121436 | 10 | 15.233 | 7971.9 |
| 257 | 2024-11-27 14:21:25 | tightener | 1 | 81242 | 4 | 4.156 | 19548.1 |
| 256 | 2024-11-27 01:13:19 | tightener | 3 | 148641 | 36 | 30.113 | 4936.1 |
| 255 | 2024-11-25 03:17:44 | tightener | 1 | 81242 | 4 | 3.656 | 22221.6 |
| 254 | 2024-11-23 18:09:55 | tightener | 3 | 148641 | 36 | 46.473 | 3198.4 |
| 253 | 2024-11-22 04:58:55 | tightener | 3 | 148641 | 36 | 33.440 | 4445.0 |
| 252 | 2024-11-22 04:58:58 | tightener | 2 | 121436 | 10 | 14.423 | 8419.6 |
| 251 | 2024-11-22 04:58:15 | tightener | 3 | 148641 | 36 | 34.723 | 4280.8 |
| 250 | 2024-11-22 04:56:12 | tightener | 1 | 81242 | 4 | 5.906 | 13755.8 |
| 249 | 2024-11-16 17:23:59 | tightener | 1 | 81242 | 4 | 7.470 | 10875.8 |
| 248 | 2024-11-14 01:28:59 | tightener | 3 | 148641 | 36 | 33.266 | 4468.3 |
| 247 | 2024-11-14 01:28:59 | tightener | 2 | 121436 | 10 | 17.436 | 6964.7 |
| 246 | 2024-10-28 14:13:35 | tightener | 1 | 81242 | 4 | 1.216 | 66810.9 |
| 245 | 2024-10-26 05:25:51 | tightener | 3 | 148641 | 36 | 34.003 | 4371.4 |
| 244 | 2024-10-22 21:44:59 | tightener | 3 | 148641 | 36 | 41.330 | 3596.4 |
| 243 | 2024-10-22 21:18:26 | tightener | 1 | 81242 | 4 | 6.686 | 12151.1 |
| 242 | 2024-10-22 14:10:59 | tightener | 3 | 148641 | 36 | 28.910 | 5141.5 |
| 241 | 2024-10-20 07:19:50 | tightener | 1 | 81242 | 4 | 9.720 | 8358.2 |
| 240 | 2024-10-15 18:24:55 | tightener | 3 | 148641 | 36 | 27.660 | 5373.9 |