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 |
| 423 | 2026-01-21 05:25:56 | equaliser | 4 | 165329 | 291 | 11.936 | 13851.3 |
| 422 | 2026-01-20 07:30:13 | equaliser | 2 | 121436 | 11 | 17.253 | 7038.5 |
| 421 | 2026-01-18 10:30:52 | equaliser | 1 | 81242 | 6 | 1.393 | 58321.6 |
| 420 | 2026-01-17 18:54:16 | equaliser | 2 | 121436 | 11 | 3.736 | 32504.3 |
| 419 | 2026-01-17 12:42:25 | equaliser | 3 | 148641 | 25 | 22.863 | 6501.4 |
| 418 | 2026-01-17 00:34:32 | equaliser | 1 | 81242 | 6 | 3.640 | 22319.2 |
| 417 | 2026-01-17 00:28:44 | equaliser | 1 | 81242 | 6 | 7.280 | 11159.6 |
| 416 | 2026-01-16 10:11:23 | equaliser | 1 | 81242 | 6 | 1.373 | 59171.2 |
| 415 | 2026-01-16 10:09:40 | equaliser | 1 | 81242 | 6 | 1.533 | 52995.4 |
| 414 | 2026-01-15 14:43:54 | equaliser | 2 | 121436 | 11 | 3.326 | 36511.1 |
| 413 | 2026-01-10 12:40:19 | equaliser | 3 | 148641 | 25 | 6.406 | 23203.4 |
| 412 | 2026-01-10 09:01:12 | equaliser | 4 | 165329 | 291 | 12.176 | 13578.3 |
| 411 | 2026-01-10 06:03:27 | equaliser | 2 | 121436 | 11 | 3.796 | 31990.5 |
| 410 | 2026-01-10 02:08:47 | equaliser | 4 | 165329 | 291 | 12.796 | 12920.4 |
| 409 | 2026-01-08 23:34:22 | equaliser | 4 | 165329 | 291 | 12.236 | 13511.7 |
| 408 | 2026-01-07 12:02:14 | equaliser | 2 | 121436 | 11 | 3.360 | 36141.7 |
| 407 | 2026-01-04 11:28:37 | equaliser | 4 | 165329 | 291 | 15.736 | 10506.4 |
| 406 | 2026-01-04 11:28:27 | equaliser | 4 | 165329 | 291 | 17.640 | 9372.4 |
| 405 | 2026-01-02 10:26:43 | equaliser | 1 | 81242 | 6 | 1.453 | 55913.3 |
| 404 | 2026-01-02 03:28:32 | equaliser | 1 | 81242 | 6 | 2.030 | 40020.7 |
| 403 | 2025-12-26 04:37:34 | equaliser | 4 | 165329 | 291 | 14.813 | 11161.1 |
| 402 | 2025-12-24 05:16:43 | equaliser | 1 | 81242 | 6 | 4.546 | 17871.1 |
| 401 | 2025-12-24 01:57:59 | equaliser | 1 | 81242 | 6 | 2.280 | 35632.5 |
| 400 | 2025-12-24 01:08:19 | equaliser | 1 | 81242 | 6 | 1.250 | 64993.6 |
| 399 | 2025-12-20 18:15:57 | equaliser | 1 | 81242 | 6 | 1.576 | 51549.5 |
| 398 | 2025-12-17 22:15:40 | equaliser | 4 | 165329 | 291 | 61.393 | 2693.0 |
| 397 | 2025-12-17 22:15:32 | equaliser | 4 | 165329 | 291 | 52.096 | 3173.5 |
| 396 | 2025-12-17 06:53:57 | equaliser | 4 | 165329 | 291 | 11.046 | 14967.3 |
| 395 | 2025-12-16 21:59:50 | equaliser | 3 | 148641 | 25 | 8.846 | 16803.2 |
| 394 | 2025-11-25 14:02:28 | equaliser | 3 | 148641 | 25 | 7.093 | 20956.0 |
| 393 | 2025-11-18 05:21:43 | equaliser | 2 | 121436 | 11 | 3.373 | 36002.4 |
| 392 | 2025-11-17 22:28:34 | equaliser | 3 | 148641 | 25 | 16.143 | 9207.8 |
| 391 | 2025-11-17 18:54:59 | equaliser | 1 | 81242 | 6 | 1.250 | 64993.6 |
| 390 | 2025-11-12 09:01:03 | equaliser | 4 | 165329 | 291 | 25.936 | 6374.5 |
| 389 | 2025-11-07 15:22:00 | equaliser | 1 | 81242 | 6 | 1.436 | 56575.2 |
| 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 |