History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"quantizer"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 395 | 2025-11-07 22:53:53 | quantizer | 4 | 165329 | 362 | 11.373 | 14537.0 |
| 394 | 2025-10-27 10:27:47 | quantizer | 1 | 81242 | 5 | 1.356 | 59913.0 |
| 393 | 2025-10-22 11:15:26 | quantizer | 1 | 81242 | 5 | 6.783 | 11977.3 |
| 392 | 2025-10-22 11:15:11 | quantizer | 1 | 81242 | 5 | 3.766 | 21572.5 |
| 391 | 2025-10-22 11:14:30 | quantizer | 1 | 81242 | 5 | 3.686 | 22040.7 |
| 390 | 2025-10-22 11:13:57 | quantizer | 1 | 81242 | 5 | 10.016 | 8111.2 |
| 389 | 2025-10-18 02:42:28 | quantizer | 1 | 81242 | 5 | 1.200 | 67701.7 |
| 388 | 2025-10-18 00:21:54 | quantizer | 1 | 81242 | 5 | 1.220 | 66591.8 |
| 387 | 2025-10-16 21:35:30 | quantizer | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 386 | 2025-10-05 20:53:01 | quantizer | 4 | 165329 | 362 | 16.110 | 10262.5 |
| 385 | 2025-10-04 07:26:31 | quantizer | 4 | 165329 | 362 | 11.703 | 14127.1 |
| 384 | 2025-09-29 17:51:58 | quantizer | 1 | 81242 | 5 | 1.233 | 65889.7 |
| 383 | 2025-09-29 15:11:35 | quantizer | 1 | 81242 | 5 | 1.200 | 67701.7 |
| 382 | 2025-09-20 04:45:45 | quantizer | 3 | 148641 | 44 | 6.843 | 21721.6 |
| 381 | 2025-09-13 13:06:36 | quantizer | 4 | 165329 | 362 | 12.253 | 13492.9 |
| 380 | 2025-09-13 12:58:20 | quantizer | 4 | 165329 | 362 | 15.720 | 10517.1 |
| 379 | 2025-09-10 16:12:24 | quantizer | 4 | 165329 | 362 | 12.143 | 13615.2 |
| 378 | 2025-09-10 12:23:17 | quantizer | 3 | 148641 | 44 | 7.970 | 18650.1 |
| 377 | 2025-09-06 22:34:53 | quantizer | 2 | 121436 | 9 | 3.576 | 33958.6 |
| 376 | 2025-09-05 18:59:52 | quantizer | 3 | 148641 | 44 | 6.283 | 23657.6 |
| 375 | 2025-09-01 15:30:41 | quantizer | 1 | 81242 | 5 | 1.266 | 64172.2 |
| 374 | 2025-09-01 07:26:50 | quantizer | 1 | 81242 | 5 | 1.216 | 66810.9 |
| 373 | 2025-08-28 08:11:44 | quantizer | 1 | 81242 | 5 | 1.220 | 66591.8 |
| 372 | 2025-08-02 03:14:56 | quantizer | 2 | 121436 | 9 | 15.923 | 7626.5 |
| 371 | 2025-07-31 17:46:09 | quantizer | 1 | 81242 | 5 | 3.420 | 23755.0 |
| 370 | 2025-07-24 19:59:20 | quantizer | 1 | 81242 | 5 | 2.860 | 28406.3 |
| 369 | 2025-07-19 17:37:25 | quantizer | 2 | 121436 | 9 | 3.033 | 40038.2 |
| 368 | 2025-07-19 11:34:22 | quantizer | 1 | 81242 | 5 | 1.356 | 59913.0 |
| 367 | 2025-07-16 18:53:44 | quantizer | 1 | 81242 | 5 | 1.453 | 55913.3 |
| 366 | 2025-07-12 07:44:55 | quantizer | 1 | 81242 | 5 | 1.313 | 61875.1 |
| 365 | 2025-06-26 17:09:34 | quantizer | 1 | 81242 | 5 | 7.013 | 11584.5 |
| 364 | 2025-06-24 03:10:02 | quantizer | 1 | 81242 | 5 | 6.343 | 12808.1 |
| 363 | 2025-06-23 20:23:43 | quantizer | 1 | 81242 | 5 | 5.063 | 16046.2 |
| 362 | 2025-06-02 04:07:16 | quantizer | 1 | 81242 | 5 | 5.843 | 13904.2 |
| 361 | 2025-05-28 22:24:03 | quantizer | 1 | 81242 | 5 | 4.470 | 18174.9 |
| 360 | 2025-05-26 17:19:16 | quantizer | 1 | 81242 | 5 | 3.406 | 23852.6 |
| 359 | 2025-05-21 02:06:41 | quantizer | 1 | 81242 | 5 | 2.970 | 27354.2 |
| 358 | 2025-05-19 09:51:50 | quantizer | 1 | 81242 | 5 | 3.500 | 23212.0 |
| 357 | 2025-05-11 18:10:37 | quantizer | 1 | 81242 | 5 | 1.356 | 59913.0 |
| 356 | 2025-05-05 19:33:56 | quantizer | 2 | 121436 | 9 | 15.160 | 8010.3 |
| 355 | 2025-05-05 02:56:10 | quantizer | 1 | 81242 | 5 | 1.360 | 59736.8 |
| 354 | 2025-04-28 13:25:33 | quantizer | 1 | 81242 | 5 | 6.486 | 12525.7 |
| 353 | 2025-04-21 16:10:33 | quantizer | 1 | 81242 | 5 | 3.656 | 22221.6 |
| 352 | 2025-04-02 00:38:38 | quantizer | 1 | 81242 | 5 | 5.970 | 13608.4 |
| 351 | 2025-04-01 19:34:09 | quantizer | 3 | 148641 | 44 | 36.296 | 4095.2 |
| 350 | 2025-03-29 15:17:13 | quantizer | 2 | 121436 | 9 | 17.173 | 7071.3 |
| 349 | 2025-03-29 13:12:42 | quantizer | 3 | 148641 | 44 | 45.156 | 3291.7 |
| 348 | 2025-03-28 23:28:22 | quantizer | 3 | 148641 | 44 | 38.330 | 3877.9 |
| 347 | 2025-03-28 15:00:47 | quantizer | 1 | 81242 | 5 | 6.360 | 12773.9 |
| 346 | 2025-03-28 01:05:46 | quantizer | 4 | 165329 | 362 | 25.156 | 6572.1 |
| 345 | 2025-03-27 08:24:02 | quantizer | 4 | 165329 | 362 | 69.800 | 2368.6 |
| 344 | 2025-03-25 15:58:01 | quantizer | 4 | 165329 | 362 | 60.300 | 2741.8 |
| 343 | 2025-03-24 04:04:36 | quantizer | 4 | 165329 | 362 | 31.113 | 5313.8 |
| 342 | 2025-03-12 00:39:34 | quantizer | 1 | 81242 | 5 | 5.050 | 16087.5 |
| 341 | 2025-03-03 01:51:28 | quantizer | 3 | 148641 | 44 | 28.063 | 5296.7 |
| 340 | 2025-02-25 17:05:28 | quantizer | 1 | 81242 | 5 | 1.173 | 69260.0 |
| 339 | 2025-02-24 01:41:00 | quantizer | 3 | 148641 | 44 | 44.610 | 3332.0 |
| 338 | 2025-02-23 22:32:38 | quantizer | 4 | 165329 | 362 | 24.610 | 6718.0 |
| 337 | 2025-02-23 05:22:49 | quantizer | 3 | 148641 | 44 | 24.703 | 6017.1 |
| 336 | 2025-02-22 23:44:30 | quantizer | 1 | 81242 | 5 | 6.860 | 11842.9 |
| 335 | 2025-02-22 23:41:26 | quantizer | 4 | 165329 | 362 | 70.940 | 2330.5 |
| 334 | 2025-02-22 23:41:18 | quantizer | 3 | 148641 | 44 | 45.160 | 3291.4 |
| 333 | 2025-02-22 23:40:54 | quantizer | 2 | 121436 | 9 | 16.546 | 7339.3 |
| 332 | 2025-02-20 17:29:39 | quantizer | 4 | 165329 | 362 | 75.910 | 2178.0 |
| 331 | 2025-02-20 17:29:37 | quantizer | 2 | 121436 | 9 | 11.003 | 11036.6 |
| 330 | 2025-02-20 17:26:21 | quantizer | 1 | 81242 | 5 | 4.450 | 18256.6 |
| 329 | 2025-02-20 16:32:17 | quantizer | 3 | 148641 | 44 | 27.983 | 5311.8 |
| 328 | 2025-02-20 10:33:34 | quantizer | 3 | 148641 | 44 | 47.033 | 3160.4 |
| 327 | 2025-02-20 10:33:36 | quantizer | 3 | 148641 | 44 | 18.533 | 8020.3 |
| 326 | 2025-02-20 10:33:28 | quantizer | 2 | 121436 | 9 | 26.393 | 4601.1 |
| 325 | 2025-02-20 10:32:10 | quantizer | 1 | 81242 | 5 | 5.890 | 13793.2 |
| 324 | 2025-02-07 04:46:36 | quantizer | 1 | 81242 | 5 | 5.813 | 13975.9 |
| 323 | 2025-01-23 01:54:02 | quantizer | 3 | 148641 | 44 | 39.830 | 3731.9 |
| 322 | 2025-01-23 01:53:44 | quantizer | 2 | 121436 | 9 | 25.580 | 4747.3 |
| 321 | 2025-01-23 01:53:32 | quantizer | 3 | 148641 | 44 | 18.233 | 8152.3 |
| 320 | 2025-01-23 01:53:39 | quantizer | 1 | 81242 | 5 | 3.220 | 25230.4 |
| 319 | 2025-01-20 19:29:38 | quantizer | 3 | 148641 | 44 | 36.613 | 4059.8 |
| 318 | 2025-01-20 19:29:40 | quantizer | 2 | 121436 | 9 | 16.343 | 7430.5 |
| 317 | 2025-01-20 19:28:47 | quantizer | 1 | 81242 | 5 | 5.766 | 14089.8 |
| 316 | 2025-01-20 19:27:03 | quantizer | 3 | 148641 | 44 | 45.033 | 3300.7 |
| 315 | 2025-01-19 21:23:56 | quantizer | 4 | 165329 | 362 | 75.536 | 2188.7 |
| 314 | 2025-01-19 21:24:13 | quantizer | 2 | 121436 | 9 | 24.783 | 4900.0 |
| 313 | 2025-01-19 21:24:01 | quantizer | 3 | 148641 | 44 | 35.406 | 4198.2 |
| 312 | 2025-01-19 21:21:23 | quantizer | 1 | 81242 | 5 | 5.923 | 13716.4 |
| 311 | 2025-01-06 19:44:01 | quantizer | 1 | 81242 | 5 | 2.060 | 39437.9 |
| 310 | 2024-12-26 21:18:19 | quantizer | 3 | 148641 | 44 | 19.876 | 7478.4 |
| 309 | 2024-12-16 13:32:12 | quantizer | 2 | 121436 | 9 | 8.280 | 14666.2 |
| 308 | 2024-12-14 14:29:33 | quantizer | 1 | 81242 | 5 | 9.580 | 8480.4 |
| 307 | 2024-12-12 20:34:09 | quantizer | 2 | 121436 | 9 | 15.453 | 7858.4 |
| 306 | 2024-12-12 20:33:25 | quantizer | 1 | 81242 | 5 | 5.406 | 15028.1 |
| 305 | 2024-12-10 13:36:24 | quantizer | 2 | 121436 | 9 | 16.373 | 7416.8 |
| 304 | 2024-12-09 14:51:12 | quantizer | 3 | 148641 | 44 | 37.233 | 3992.2 |
| 303 | 2024-12-07 21:51:01 | quantizer | 3 | 148641 | 44 | 44.080 | 3372.1 |
| 302 | 2024-12-07 21:34:50 | quantizer | 4 | 165329 | 362 | 69.033 | 2394.9 |
| 301 | 2024-12-07 21:35:07 | quantizer | 3 | 148641 | 44 | 36.126 | 4114.5 |
| 300 | 2024-12-07 21:34:59 | quantizer | 2 | 121436 | 9 | 16.910 | 7181.3 |
| 299 | 2024-11-14 20:06:44 | quantizer | 3 | 148641 | 44 | 27.476 | 5409.8 |
| 298 | 2024-11-14 20:06:47 | quantizer | 2 | 121436 | 9 | 14.090 | 8618.6 |
| 297 | 2024-11-14 14:25:38 | quantizer | 1 | 81242 | 5 | 1.356 | 59913.0 |
| 296 | 2024-11-06 11:15:48 | quantizer | 3 | 148641 | 44 | 43.596 | 3409.5 |