History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"granulated"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 389 | 2026-04-12 05:39:24 | granulated | 4 | 161450 | 270 | 61.283 | 2634.5 |
| 388 | 2026-04-08 05:47:20 | granulated | 1 | 67641 | 4 | 5.686 | 11896.1 |
| 387 | 2026-04-06 10:38:56 | granulated | 4 | 161450 | 270 | 11.686 | 13815.7 |
| 386 | 2026-04-02 09:07:33 | granulated | 1 | 67641 | 4 | 5.296 | 12772.1 |
| 385 | 2026-03-31 04:37:49 | granulated | 4 | 161450 | 270 | 65.220 | 2475.5 |
| 384 | 2026-03-31 00:52:27 | granulated | 3 | 140603 | 50 | 27.063 | 5195.4 |
| 383 | 2026-03-30 15:54:54 | granulated | 3 | 140603 | 50 | 31.953 | 4400.3 |
| 382 | 2026-03-30 15:54:15 | granulated | 3 | 140603 | 50 | 28.343 | 4960.8 |
| 381 | 2026-03-30 07:25:45 | granulated | 4 | 161450 | 270 | 45.863 | 3520.3 |
| 380 | 2026-03-30 04:01:45 | granulated | 4 | 161450 | 270 | 42.533 | 3795.9 |
| 379 | 2026-03-28 22:21:48 | granulated | 4 | 161450 | 270 | 87.710 | 1840.7 |
| 378 | 2026-03-25 07:52:30 | granulated | 2 | 108824 | 13 | 12.843 | 8473.4 |
| 377 | 2026-03-22 18:10:53 | granulated | 1 | 67641 | 4 | 2.810 | 24071.5 |
| 376 | 2026-03-20 09:22:14 | granulated | 4 | 161450 | 270 | 31.453 | 5133.1 |
| 375 | 2026-03-12 12:47:49 | granulated | 1 | 67641 | 4 | 1.076 | 62863.4 |
| 374 | 2026-03-10 13:09:37 | granulated | 1 | 67641 | 4 | 1.000 | 67641.0 |
| 373 | 2026-03-10 12:17:17 | granulated | 1 | 67641 | 4 | 1.030 | 65670.9 |
| 372 | 2026-03-10 07:26:17 | granulated | 1 | 67641 | 4 | 1.143 | 59178.5 |
| 371 | 2026-03-06 19:33:58 | granulated | 4 | 161450 | 270 | 14.190 | 11377.7 |
| 370 | 2026-03-04 17:49:01 | granulated | 2 | 108824 | 13 | 12.876 | 8451.7 |
| 369 | 2026-02-25 22:34:49 | granulated | 2 | 108824 | 13 | 3.326 | 32719.2 |
| 368 | 2026-02-24 08:53:06 | granulated | 3 | 140603 | 50 | 5.470 | 25704.4 |
| 367 | 2026-02-16 07:37:41 | granulated | 4 | 161450 | 270 | 12.376 | 13045.4 |
| 366 | 2026-02-12 19:47:11 | granulated | 1 | 67641 | 4 | 5.640 | 11993.1 |
| 365 | 2026-02-12 19:46:54 | granulated | 1 | 67641 | 4 | 5.593 | 12093.9 |
| 364 | 2026-02-12 19:46:28 | granulated | 1 | 67641 | 4 | 5.530 | 12231.6 |
| 363 | 2026-02-10 14:43:33 | granulated | 1 | 67641 | 4 | 1.173 | 57665.0 |
| 362 | 2026-02-10 11:03:24 | granulated | 1 | 67641 | 4 | 2.173 | 31127.9 |
| 361 | 2026-01-21 22:46:05 | granulated | 1 | 67641 | 4 | 1.063 | 63632.2 |
| 360 | 2025-12-29 19:45:35 | granulated | 1 | 67641 | 4 | 1.016 | 66575.8 |
| 359 | 2025-12-29 03:58:23 | granulated | 1 | 67641 | 4 | 1.033 | 65480.2 |
| 358 | 2025-12-27 01:27:07 | granulated | 1 | 67641 | 4 | 1.016 | 66575.8 |
| 357 | 2025-12-27 01:12:25 | granulated | 1 | 67641 | 4 | 1.720 | 39326.2 |
| 356 | 2025-12-21 23:47:40 | granulated | 1 | 67641 | 4 | 2.233 | 30291.5 |
| 355 | 2025-12-08 01:41:13 | granulated | 4 | 161450 | 270 | 10.033 | 16091.9 |
| 354 | 2025-12-04 17:32:03 | granulated | 4 | 161450 | 270 | 14.330 | 11266.6 |
| 353 | 2025-11-20 15:41:01 | granulated | 4 | 161450 | 270 | 18.906 | 8539.6 |
| 352 | 2025-11-19 19:41:23 | granulated | 4 | 161450 | 270 | 17.283 | 9341.5 |
| 351 | 2025-11-18 00:14:52 | granulated | 4 | 161450 | 270 | 12.483 | 12933.6 |
| 350 | 2025-11-07 13:33:36 | granulated | 2 | 108824 | 13 | 3.156 | 34481.6 |
| 349 | 2025-10-01 01:29:49 | granulated | 1 | 67641 | 4 | 1.140 | 59334.2 |
| 348 | 2025-09-22 22:18:37 | granulated | 1 | 67641 | 4 | 1.143 | 59178.5 |
| 347 | 2025-09-11 14:38:29 | granulated | 1 | 67641 | 4 | 1.156 | 58513.0 |
| 346 | 2025-09-10 00:25:13 | granulated | 1 | 67641 | 4 | 1.050 | 64420.0 |
| 345 | 2025-09-06 14:23:50 | granulated | 1 | 67641 | 4 | 1.110 | 60937.8 |
| 344 | 2025-08-31 10:21:49 | granulated | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 343 | 2025-08-17 09:40:13 | granulated | 4 | 161450 | 270 | 54.443 | 2965.5 |
| 342 | 2025-08-14 21:20:33 | granulated | 4 | 161450 | 270 | 30.470 | 5298.7 |
| 341 | 2025-08-11 20:35:10 | granulated | 1 | 67641 | 4 | 2.453 | 27574.8 |
| 340 | 2025-08-11 11:32:06 | granulated | 4 | 161450 | 270 | 65.753 | 2455.4 |
| 339 | 2025-08-10 23:26:51 | granulated | 3 | 140603 | 50 | 20.610 | 6822.1 |
| 338 | 2025-08-10 23:03:40 | granulated | 2 | 108824 | 13 | 7.470 | 14568.1 |
| 337 | 2025-08-10 04:08:38 | granulated | 1 | 67641 | 4 | 2.296 | 29460.4 |
| 336 | 2025-08-09 08:48:41 | granulated | 1 | 67641 | 4 | 4.673 | 14474.9 |
| 335 | 2025-08-06 22:39:47 | granulated | 1 | 67641 | 4 | 5.110 | 13237.0 |
| 334 | 2025-08-01 21:23:04 | granulated | 4 | 161450 | 270 | 34.736 | 4647.9 |
| 333 | 2025-08-01 18:32:30 | granulated | 3 | 140603 | 50 | 19.313 | 7280.2 |
| 332 | 2025-08-01 18:01:54 | granulated | 2 | 108824 | 13 | 11.406 | 9540.9 |
| 331 | 2025-07-31 05:15:06 | granulated | 1 | 67641 | 4 | 1.203 | 56226.9 |
| 330 | 2025-07-26 01:25:07 | granulated | 2 | 108824 | 13 | 2.780 | 39145.3 |
| 329 | 2025-07-20 08:02:36 | granulated | 2 | 108824 | 13 | 3.016 | 36082.2 |
| 328 | 2025-07-16 02:16:06 | granulated | 1 | 67641 | 4 | 2.313 | 29243.8 |
| 327 | 2025-07-10 15:09:21 | granulated | 1 | 67641 | 4 | 5.216 | 12968.0 |
| 326 | 2025-07-07 16:14:34 | granulated | 1 | 67641 | 4 | 3.046 | 22206.5 |
| 325 | 2025-07-05 06:56:08 | granulated | 1 | 67641 | 4 | 2.686 | 25182.8 |
| 324 | 2025-07-05 04:17:20 | granulated | 3 | 140603 | 50 | 31.800 | 4421.5 |
| 323 | 2025-07-05 00:52:32 | granulated | 1 | 67641 | 4 | 4.190 | 16143.4 |
| 322 | 2025-07-01 20:19:46 | granulated | 1 | 67641 | 4 | 4.690 | 14422.4 |
| 321 | 2025-06-30 08:54:52 | granulated | 3 | 140603 | 50 | 32.000 | 4393.8 |
| 320 | 2025-06-28 00:40:51 | granulated | 3 | 140603 | 50 | 27.923 | 5035.4 |
| 319 | 2025-06-27 00:38:13 | granulated | 3 | 140603 | 50 | 26.330 | 5340.0 |
| 318 | 2025-06-25 18:06:09 | granulated | 1 | 67641 | 4 | 2.063 | 32787.7 |
| 317 | 2025-06-25 07:56:05 | granulated | 3 | 140603 | 50 | 16.720 | 8409.3 |
| 316 | 2025-06-24 05:51:26 | granulated | 1 | 67641 | 4 | 8.220 | 8228.8 |
| 315 | 2025-06-19 15:11:05 | granulated | 1 | 67641 | 4 | 2.813 | 24045.9 |
| 314 | 2025-06-17 04:43:36 | granulated | 1 | 67641 | 4 | 1.190 | 56841.2 |
| 313 | 2025-06-13 12:41:02 | granulated | 1 | 67641 | 4 | 0.983 | 68810.8 |
| 312 | 2025-06-10 04:36:27 | granulated | 1 | 67641 | 4 | 5.530 | 12231.6 |
| 311 | 2025-06-08 02:10:13 | granulated | 1 | 67641 | 4 | 10.953 | 6175.6 |
| 310 | 2025-06-06 15:53:51 | granulated | 1 | 67641 | 4 | 5.606 | 12065.8 |
| 309 | 2025-05-15 19:44:21 | granulated | 1 | 67641 | 4 | 5.250 | 12884.0 |
| 308 | 2025-05-14 09:16:12 | granulated | 3 | 140603 | 50 | 38.533 | 3648.9 |
| 307 | 2025-05-12 03:25:45 | granulated | 3 | 140603 | 50 | 16.330 | 8610.1 |
| 306 | 2025-05-10 18:35:51 | granulated | 3 | 140603 | 50 | 29.986 | 4689.0 |
| 305 | 2025-05-08 08:16:51 | granulated | 1 | 67641 | 4 | 4.796 | 14103.6 |
| 304 | 2025-05-08 05:56:49 | granulated | 3 | 140603 | 50 | 25.296 | 5558.3 |
| 303 | 2025-05-08 02:10:51 | granulated | 1 | 67641 | 4 | 5.906 | 11452.9 |
| 302 | 2025-05-08 00:15:50 | granulated | 3 | 140603 | 50 | 36.766 | 3824.3 |
| 301 | 2025-05-07 04:00:18 | granulated | 1 | 67641 | 4 | 1.170 | 57812.8 |
| 300 | 2025-04-18 15:10:31 | granulated | 1 | 67641 | 4 | 2.936 | 23038.5 |
| 299 | 2025-04-15 19:28:10 | granulated | 1 | 67641 | 4 | 4.813 | 14053.8 |
| 298 | 2025-04-04 05:57:49 | granulated | 1 | 67641 | 4 | 3.920 | 17255.4 |
| 297 | 2025-03-25 09:43:24 | granulated | 1 | 67641 | 4 | 2.640 | 25621.6 |
| 296 | 2025-03-20 02:40:31 | granulated | 1 | 67641 | 4 | 2.623 | 25787.6 |
| 295 | 2025-03-16 07:37:47 | granulated | 1 | 67641 | 4 | 5.296 | 12772.1 |
| 294 | 2025-02-28 23:23:16 | granulated | 3 | 140603 | 50 | 28.080 | 5007.2 |
| 293 | 2025-02-23 10:16:02 | granulated | 3 | 140603 | 50 | 33.020 | 4258.1 |
| 292 | 2025-02-23 10:15:59 | granulated | 2 | 108824 | 13 | 15.423 | 7056.0 |
| 291 | 2025-02-22 19:43:54 | granulated | 3 | 140603 | 50 | 47.313 | 2971.8 |
| 290 | 2025-02-20 22:56:42 | granulated | 3 | 140603 | 50 | 47.266 | 2974.7 |