History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"equaliser"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 388 | 2025-10-26 21:13:31 | equaliser | 4 | 165329 | 291 | 12.206 | 13544.9 |
| 387 | 2025-10-26 14:54:36 | equaliser | 4 | 165329 | 291 | 20.503 | 8063.6 |
| 386 | 2025-10-16 06:00:31 | equaliser | 1 | 81242 | 6 | 1.390 | 58447.5 |
| 385 | 2025-10-02 00:40:15 | equaliser | 4 | 165329 | 291 | 11.360 | 14553.6 |
| 384 | 2025-09-24 00:42:28 | equaliser | 2 | 121436 | 11 | 3.486 | 34835.3 |
| 383 | 2025-09-18 15:23:36 | equaliser | 4 | 165329 | 291 | 12.546 | 13177.8 |
| 382 | 2025-09-17 12:27:20 | equaliser | 4 | 165329 | 291 | 11.720 | 14106.6 |
| 381 | 2025-09-17 11:45:39 | equaliser | 1 | 81242 | 6 | 1.343 | 60492.9 |
| 380 | 2025-09-17 11:32:53 | equaliser | 4 | 165329 | 291 | 11.983 | 13797.0 |
| 379 | 2025-09-10 06:07:20 | equaliser | 3 | 148641 | 25 | 6.796 | 21871.8 |
| 378 | 2025-09-01 14:47:43 | equaliser | 4 | 165329 | 291 | 12.440 | 13290.1 |
| 377 | 2025-08-25 03:25:55 | equaliser | 4 | 165329 | 291 | 55.146 | 2998.0 |
| 376 | 2025-08-22 05:25:26 | equaliser | 4 | 165329 | 291 | 41.736 | 3961.3 |
| 375 | 2025-08-22 05:25:16 | equaliser | 2 | 121436 | 11 | 8.000 | 15179.5 |
| 374 | 2025-08-22 01:25:54 | equaliser | 3 | 148641 | 25 | 7.483 | 19863.8 |
| 373 | 2025-08-17 12:21:19 | equaliser | 2 | 121436 | 11 | 23.860 | 5089.5 |
| 372 | 2025-08-16 04:02:35 | equaliser | 1 | 81242 | 6 | 1.423 | 57092.1 |
| 371 | 2025-08-10 18:44:27 | equaliser | 1 | 81242 | 6 | 2.470 | 32891.5 |
| 370 | 2025-08-09 10:42:32 | equaliser | 1 | 81242 | 6 | 3.686 | 22040.7 |
| 369 | 2025-07-12 09:40:35 | equaliser | 1 | 81242 | 6 | 1.266 | 64172.2 |
| 368 | 2025-07-11 16:20:43 | equaliser | 4 | 165329 | 291 | 34.593 | 4779.3 |
| 367 | 2025-07-10 21:21:29 | equaliser | 2 | 121436 | 11 | 21.513 | 5644.8 |
| 366 | 2025-07-09 19:53:44 | equaliser | 4 | 165329 | 291 | 42.366 | 3902.4 |
| 365 | 2025-07-09 12:00:52 | equaliser | 1 | 81242 | 6 | 6.453 | 12589.8 |
| 364 | 2025-06-30 16:56:34 | equaliser | 2 | 121436 | 11 | 11.236 | 10807.8 |
| 363 | 2025-06-30 05:03:02 | equaliser | 3 | 148641 | 25 | 19.610 | 7579.9 |
| 362 | 2025-06-29 09:33:46 | equaliser | 1 | 81242 | 6 | 1.440 | 56418.1 |
| 361 | 2025-06-25 19:37:32 | equaliser | 1 | 81242 | 6 | 1.250 | 64993.6 |
| 360 | 2025-06-25 08:00:41 | equaliser | 3 | 148641 | 25 | 22.423 | 6629.0 |
| 359 | 2025-06-23 09:29:19 | equaliser | 3 | 148641 | 25 | 7.080 | 20994.5 |
| 358 | 2025-06-23 06:13:28 | equaliser | 2 | 121436 | 11 | 8.360 | 14525.8 |
| 357 | 2025-06-23 00:43:31 | equaliser | 3 | 148641 | 25 | 41.643 | 3569.4 |
| 356 | 2025-06-21 10:09:33 | equaliser | 1 | 81242 | 6 | 3.173 | 25604.2 |
| 355 | 2025-06-10 06:33:01 | equaliser | 1 | 81242 | 6 | 7.126 | 11400.8 |
| 354 | 2025-06-05 04:33:04 | equaliser | 1 | 81242 | 6 | 7.110 | 11426.4 |
| 353 | 2025-05-31 09:56:02 | equaliser | 4 | 165329 | 291 | 66.833 | 2473.8 |
| 352 | 2025-05-29 13:11:37 | equaliser | 4 | 165329 | 291 | 57.486 | 2876.0 |
| 351 | 2025-05-28 15:49:10 | equaliser | 2 | 121436 | 11 | 16.173 | 7508.6 |
| 350 | 2025-05-28 14:08:15 | equaliser | 3 | 148641 | 25 | 26.766 | 5553.4 |
| 349 | 2025-05-27 19:42:21 | equaliser | 1 | 81242 | 6 | 1.360 | 59736.8 |
| 348 | 2025-05-23 06:53:04 | equaliser | 2 | 121436 | 11 | 17.500 | 6939.2 |
| 347 | 2025-05-23 00:48:18 | equaliser | 3 | 148641 | 25 | 25.283 | 5879.1 |
| 346 | 2025-05-22 10:07:10 | equaliser | 1 | 81242 | 6 | 6.140 | 13231.6 |
| 345 | 2025-05-14 12:08:24 | equaliser | 3 | 148641 | 25 | 20.686 | 7185.6 |
| 344 | 2025-05-10 07:03:17 | equaliser | 4 | 165329 | 291 | 67.893 | 2435.1 |
| 343 | 2025-05-06 04:35:31 | equaliser | 4 | 165329 | 291 | 57.003 | 2900.4 |
| 342 | 2025-05-05 19:50:29 | equaliser | 4 | 165329 | 291 | 51.626 | 3202.4 |
| 341 | 2025-05-05 01:27:43 | equaliser | 4 | 165329 | 291 | 47.863 | 3454.2 |
| 340 | 2025-04-30 23:06:54 | equaliser | 1 | 81242 | 6 | 10.030 | 8099.9 |
| 339 | 2025-04-28 17:00:24 | equaliser | 4 | 165329 | 291 | 56.040 | 2950.2 |
| 338 | 2025-04-25 18:18:11 | equaliser | 4 | 165329 | 291 | 12.423 | 13308.3 |
| 337 | 2025-04-24 08:50:36 | equaliser | 1 | 81242 | 6 | 7.030 | 11556.5 |
| 336 | 2025-04-18 17:53:52 | equaliser | 3 | 148641 | 25 | 18.263 | 8138.9 |
| 335 | 2025-04-18 09:14:07 | equaliser | 2 | 121436 | 11 | 8.610 | 14104.1 |
| 334 | 2025-04-17 05:12:17 | equaliser | 1 | 81242 | 6 | 1.406 | 57782.4 |
| 333 | 2025-04-14 01:38:33 | equaliser | 3 | 148641 | 25 | 35.080 | 4237.2 |
| 332 | 2025-04-12 13:44:01 | equaliser | 3 | 148641 | 25 | 29.923 | 4967.4 |
| 331 | 2025-04-07 12:56:53 | equaliser | 3 | 148641 | 25 | 51.486 | 2887.0 |
| 330 | 2025-04-07 05:59:01 | equaliser | 2 | 121436 | 11 | 5.593 | 21712.1 |
| 329 | 2025-04-07 00:57:15 | equaliser | 3 | 148641 | 25 | 43.486 | 3418.1 |
| 328 | 2025-04-06 08:49:15 | equaliser | 1 | 81242 | 6 | 6.640 | 12235.2 |
| 327 | 2025-04-05 19:28:31 | equaliser | 4 | 165329 | 291 | 25.173 | 6567.7 |
| 326 | 2025-04-04 03:26:00 | equaliser | 4 | 165329 | 291 | 71.550 | 2310.7 |
| 325 | 2025-03-28 16:59:36 | equaliser | 4 | 165329 | 291 | 35.670 | 4635.0 |
| 324 | 2025-03-25 19:00:05 | equaliser | 2 | 121436 | 11 | 12.640 | 9607.3 |
| 323 | 2025-03-25 18:28:08 | equaliser | 3 | 148641 | 25 | 27.593 | 5386.9 |
| 322 | 2025-03-22 11:57:59 | equaliser | 3 | 148641 | 25 | 37.160 | 4000.0 |
| 321 | 2025-03-22 10:54:25 | equaliser | 1 | 81242 | 6 | 1.326 | 61268.5 |
| 320 | 2025-03-16 02:22:54 | equaliser | 1 | 81242 | 6 | 6.813 | 11924.6 |
| 319 | 2025-03-11 13:05:52 | equaliser | 3 | 148641 | 25 | 35.133 | 4230.8 |
| 318 | 2025-03-11 02:32:12 | equaliser | 1 | 81242 | 6 | 6.406 | 12682.2 |
| 317 | 2025-03-06 13:10:29 | equaliser | 3 | 148641 | 25 | 28.283 | 5255.5 |
| 316 | 2025-03-06 06:52:38 | equaliser | 3 | 148641 | 25 | 45.470 | 3269.0 |
| 315 | 2025-03-05 20:25:15 | equaliser | 3 | 148641 | 25 | 34.046 | 4365.9 |
| 314 | 2025-03-05 20:25:05 | equaliser | 2 | 121436 | 11 | 15.643 | 7763.0 |
| 313 | 2025-03-05 20:24:03 | equaliser | 3 | 148641 | 25 | 42.236 | 3519.3 |
| 312 | 2025-03-05 18:00:02 | equaliser | 1 | 81242 | 6 | 8.346 | 9734.2 |
| 311 | 2025-03-05 13:18:38 | equaliser | 3 | 148641 | 25 | 38.346 | 3876.3 |
| 310 | 2025-03-05 13:18:35 | equaliser | 2 | 121436 | 11 | 11.513 | 10547.7 |
| 309 | 2025-03-05 13:17:46 | equaliser | 3 | 148641 | 25 | 36.346 | 4089.6 |
| 308 | 2025-03-05 13:15:00 | equaliser | 1 | 81242 | 6 | 6.953 | 11684.5 |
| 307 | 2025-02-28 16:27:47 | equaliser | 1 | 81242 | 6 | 6.780 | 11982.6 |
| 306 | 2025-02-16 05:37:13 | equaliser | 2 | 121436 | 11 | 14.876 | 8163.2 |
| 305 | 2025-02-08 04:13:12 | equaliser | 2 | 121436 | 11 | 12.533 | 9689.3 |
| 304 | 2025-02-08 03:54:18 | equaliser | 1 | 81242 | 6 | 1.403 | 57905.9 |
| 303 | 2025-02-07 17:27:04 | equaliser | 1 | 81242 | 6 | 5.940 | 13677.1 |
| 302 | 2025-01-30 02:44:23 | equaliser | 3 | 148641 | 25 | 33.796 | 4398.2 |
| 301 | 2025-01-29 01:02:22 | equaliser | 3 | 148641 | 25 | 32.066 | 4635.5 |
| 300 | 2025-01-29 00:16:03 | equaliser | 2 | 121436 | 11 | 15.406 | 7882.4 |
| 299 | 2025-01-29 00:08:29 | equaliser | 1 | 81242 | 6 | 4.096 | 19834.5 |
| 298 | 2025-01-26 13:48:48 | equaliser | 3 | 148641 | 25 | 35.393 | 4199.7 |
| 297 | 2025-01-25 15:24:20 | equaliser | 1 | 81242 | 6 | 1.406 | 57782.4 |
| 296 | 2025-01-25 10:01:29 | equaliser | 3 | 148641 | 25 | 50.283 | 2956.1 |
| 295 | 2025-01-25 10:01:15 | equaliser | 4 | 165329 | 291 | 40.676 | 4064.5 |
| 294 | 2025-01-25 10:01:17 | equaliser | 2 | 121436 | 11 | 16.656 | 7290.8 |
| 293 | 2025-01-16 17:02:12 | equaliser | 3 | 148641 | 25 | 24.066 | 6176.4 |
| 292 | 2025-01-08 11:59:34 | equaliser | 1 | 81242 | 6 | 3.393 | 23944.0 |
| 291 | 2025-01-07 18:21:09 | equaliser | 2 | 121436 | 11 | 16.846 | 7208.6 |
| 290 | 2025-01-07 18:19:51 | equaliser | 1 | 81242 | 6 | 6.563 | 12378.8 |
| 289 | 2024-12-26 06:02:05 | equaliser | 1 | 81242 | 6 | 1.390 | 58447.5 |