History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"workhorses"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 371 | 2026-02-15 08:30:42 | workhorses | 1 | 67641 | 3 | 1.893 | 35732.2 |
| 370 | 2026-02-14 04:05:08 | workhorses | 2 | 108824 | 7 | 14.436 | 7538.4 |
| 369 | 2026-01-28 21:15:40 | workhorses | 2 | 108824 | 7 | 2.686 | 40515.3 |
| 368 | 2026-01-26 19:22:50 | workhorses | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 367 | 2026-01-23 09:06:45 | workhorses | 1 | 67641 | 3 | 1.220 | 55443.4 |
| 366 | 2026-01-19 20:11:45 | workhorses | 1 | 67641 | 3 | 1.093 | 61885.6 |
| 365 | 2026-01-18 18:59:50 | workhorses | 1 | 67641 | 3 | 3.440 | 19663.1 |
| 364 | 2026-01-18 18:59:12 | workhorses | 1 | 67641 | 3 | 3.593 | 18825.8 |
| 363 | 2026-01-18 18:58:49 | workhorses | 1 | 67641 | 3 | 5.283 | 12803.5 |
| 362 | 2026-01-15 16:15:18 | workhorses | 4 | 161450 | 125 | 21.126 | 7642.2 |
| 361 | 2026-01-15 12:53:03 | workhorses | 1 | 67641 | 3 | 1.466 | 46139.8 |
| 360 | 2026-01-10 15:36:38 | workhorses | 1 | 67641 | 3 | 1.080 | 62630.6 |
| 359 | 2026-01-09 10:49:08 | workhorses | 1 | 67641 | 3 | 1.440 | 46972.9 |
| 358 | 2026-01-09 04:48:02 | workhorses | 1 | 67641 | 3 | 1.203 | 56226.9 |
| 357 | 2026-01-09 02:40:39 | workhorses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 356 | 2026-01-06 15:12:33 | workhorses | 3 | 140603 | 22 | 6.860 | 20496.1 |
| 355 | 2026-01-03 06:10:42 | workhorses | 1 | 67641 | 3 | 5.766 | 11731.0 |
| 354 | 2026-01-03 06:10:18 | workhorses | 1 | 67641 | 3 | 5.783 | 11696.5 |
| 353 | 2026-01-03 05:50:42 | workhorses | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 352 | 2025-12-27 13:16:16 | workhorses | 1 | 67641 | 3 | 1.016 | 66575.8 |
| 351 | 2025-12-23 07:53:27 | workhorses | 1 | 67641 | 3 | 1.173 | 57665.0 |
| 350 | 2025-12-22 21:51:29 | workhorses | 1 | 67641 | 3 | 1.326 | 51011.3 |
| 349 | 2025-12-18 09:29:43 | workhorses | 4 | 161450 | 125 | 9.610 | 16800.2 |
| 348 | 2025-11-29 21:08:32 | workhorses | 1 | 67641 | 3 | 1.170 | 57812.8 |
| 347 | 2025-11-26 13:04:30 | workhorses | 1 | 67641 | 3 | 1.280 | 52844.5 |
| 346 | 2025-11-23 08:02:06 | workhorses | 1 | 67641 | 3 | 3.393 | 19935.5 |
| 345 | 2025-11-14 16:04:03 | workhorses | 1 | 67641 | 3 | 1.266 | 53428.9 |
| 344 | 2025-10-29 06:22:57 | workhorses | 4 | 161450 | 125 | 17.283 | 9341.5 |
| 343 | 2025-10-22 12:44:22 | workhorses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 342 | 2025-10-21 14:47:51 | workhorses | 4 | 161450 | 125 | 35.936 | 4492.7 |
| 341 | 2025-09-18 14:29:34 | workhorses | 4 | 161450 | 125 | 9.516 | 16966.2 |
| 340 | 2025-08-25 05:42:42 | workhorses | 1 | 67641 | 3 | 2.453 | 27574.8 |
| 339 | 2025-08-23 13:52:44 | workhorses | 2 | 108824 | 7 | 11.566 | 9409.0 |
| 338 | 2025-08-20 00:02:15 | workhorses | 3 | 140603 | 22 | 6.283 | 22378.3 |
| 337 | 2025-08-19 23:16:56 | workhorses | 2 | 108824 | 7 | 2.983 | 36481.4 |
| 336 | 2025-08-11 15:35:26 | workhorses | 4 | 161450 | 125 | 53.330 | 3027.4 |
| 335 | 2025-08-09 03:25:21 | workhorses | 1 | 67641 | 3 | 5.373 | 12589.1 |
| 334 | 2025-07-29 05:05:52 | workhorses | 4 | 161450 | 125 | 38.363 | 4208.5 |
| 333 | 2025-07-25 00:03:39 | workhorses | 1 | 67641 | 3 | 5.140 | 13159.7 |
| 332 | 2025-07-24 15:50:16 | workhorses | 1 | 67641 | 3 | 3.596 | 18810.1 |
| 331 | 2025-07-23 20:30:42 | workhorses | 4 | 161450 | 125 | 41.033 | 3934.6 |
| 330 | 2025-07-23 05:29:05 | workhorses | 4 | 161450 | 125 | 43.490 | 3712.3 |
| 329 | 2025-07-22 13:52:25 | workhorses | 1 | 67641 | 3 | 2.453 | 27574.8 |
| 328 | 2025-07-17 14:51:22 | workhorses | 1 | 67641 | 3 | 2.750 | 24596.7 |
| 327 | 2025-07-16 01:59:45 | workhorses | 1 | 67641 | 3 | 1.140 | 59334.2 |
| 326 | 2025-07-05 01:33:56 | workhorses | 4 | 161450 | 125 | 47.670 | 3386.8 |
| 325 | 2025-07-03 10:10:34 | workhorses | 4 | 161450 | 125 | 65.666 | 2458.7 |
| 324 | 2025-07-02 06:58:03 | workhorses | 4 | 161450 | 125 | 59.456 | 2715.5 |
| 323 | 2025-06-26 21:26:08 | workhorses | 4 | 161450 | 125 | 55.176 | 2926.1 |
| 322 | 2025-06-21 00:39:38 | workhorses | 2 | 108824 | 7 | 12.986 | 8380.1 |
| 321 | 2025-06-20 16:20:07 | workhorses | 1 | 67641 | 3 | 8.360 | 8091.0 |
| 320 | 2025-06-16 13:12:41 | workhorses | 3 | 140603 | 22 | 25.470 | 5520.3 |
| 319 | 2025-06-16 00:43:29 | workhorses | 3 | 140603 | 22 | 32.266 | 4357.6 |
| 318 | 2025-06-16 00:22:24 | workhorses | 2 | 108824 | 7 | 8.186 | 13293.9 |
| 317 | 2025-06-15 19:59:33 | workhorses | 4 | 161450 | 125 | 44.220 | 3651.1 |
| 316 | 2025-06-15 06:12:36 | workhorses | 1 | 67641 | 3 | 1.126 | 60071.9 |
| 315 | 2025-06-14 16:25:43 | workhorses | 4 | 161450 | 125 | 48.566 | 3324.3 |
| 314 | 2025-06-10 10:01:50 | workhorses | 1 | 67641 | 3 | 2.970 | 22774.7 |
| 313 | 2025-06-06 15:59:18 | workhorses | 4 | 161450 | 125 | 52.706 | 3063.2 |
| 312 | 2025-06-04 02:01:03 | workhorses | 1 | 67641 | 3 | 3.516 | 19238.1 |
| 311 | 2025-05-31 14:13:49 | workhorses | 1 | 67641 | 3 | 5.423 | 12473.0 |
| 310 | 2025-05-29 06:15:23 | workhorses | 4 | 161450 | 125 | 84.553 | 1909.5 |
| 309 | 2025-05-29 01:52:54 | workhorses | 1 | 67641 | 3 | 2.953 | 22905.9 |
| 308 | 2025-05-29 01:02:51 | workhorses | 3 | 140603 | 22 | 27.173 | 5174.4 |
| 307 | 2025-05-29 01:02:51 | workhorses | 2 | 108824 | 7 | 7.890 | 13792.6 |
| 306 | 2025-05-27 00:01:57 | workhorses | 4 | 161450 | 125 | 42.643 | 3786.1 |
| 305 | 2025-05-26 20:13:09 | workhorses | 2 | 108824 | 7 | 13.580 | 8013.5 |
| 304 | 2025-05-26 00:53:21 | workhorses | 3 | 140603 | 22 | 23.736 | 5923.6 |
| 303 | 2025-05-26 00:53:16 | workhorses | 1 | 67641 | 3 | 2.486 | 27208.8 |
| 302 | 2025-05-25 09:52:45 | workhorses | 3 | 140603 | 22 | 6.500 | 21631.2 |
| 301 | 2025-05-14 12:44:55 | workhorses | 3 | 140603 | 22 | 35.483 | 3962.5 |
| 300 | 2025-05-14 00:25:06 | workhorses | 2 | 108824 | 7 | 11.830 | 9199.0 |
| 299 | 2025-05-14 00:21:47 | workhorses | 3 | 140603 | 22 | 35.440 | 3967.4 |
| 298 | 2025-05-09 02:08:01 | workhorses | 1 | 67641 | 3 | 1.186 | 57032.9 |
| 297 | 2025-05-04 09:49:42 | workhorses | 1 | 67641 | 3 | 7.326 | 9233.0 |
| 296 | 2025-04-29 08:14:58 | workhorses | 1 | 67641 | 3 | 1.110 | 60937.8 |
| 295 | 2025-03-17 07:44:07 | workhorses | 1 | 67641 | 3 | 4.186 | 16158.9 |
| 294 | 2025-03-03 20:16:11 | workhorses | 1 | 67641 | 3 | 8.170 | 8279.2 |
| 293 | 2025-02-28 07:11:48 | workhorses | 3 | 140603 | 22 | 30.876 | 4553.8 |
| 292 | 2025-02-21 21:20:18 | workhorses | 1 | 67641 | 3 | 5.393 | 12542.4 |
| 291 | 2025-02-20 09:24:11 | workhorses | 3 | 140603 | 22 | 27.986 | 5024.0 |
| 290 | 2025-02-20 09:22:29 | workhorses | 3 | 140603 | 22 | 33.340 | 4217.2 |
| 289 | 2025-02-13 21:13:08 | workhorses | 1 | 67641 | 3 | 5.266 | 12844.9 |
| 288 | 2025-02-13 14:09:37 | workhorses | 4 | 161450 | 125 | 48.986 | 3295.8 |
| 287 | 2025-02-12 18:26:31 | workhorses | 3 | 140603 | 22 | 18.610 | 7555.2 |
| 286 | 2025-02-12 18:26:13 | workhorses | 2 | 108824 | 7 | 14.720 | 7392.9 |
| 285 | 2025-02-10 19:35:36 | workhorses | 3 | 140603 | 22 | 29.500 | 4766.2 |
| 284 | 2025-02-10 19:35:32 | workhorses | 2 | 108824 | 7 | 13.390 | 8127.3 |
| 283 | 2025-02-08 16:41:38 | workhorses | 3 | 140603 | 22 | 20.016 | 7024.5 |
| 282 | 2025-02-08 16:41:34 | workhorses | 2 | 108824 | 7 | 12.156 | 8952.3 |
| 281 | 2025-02-08 16:38:58 | workhorses | 1 | 67641 | 3 | 3.436 | 19686.0 |
| 280 | 2025-02-01 04:12:14 | workhorses | 1 | 67641 | 3 | 2.360 | 28661.4 |
| 279 | 2025-01-30 03:27:59 | workhorses | 4 | 161450 | 125 | 66.486 | 2428.3 |
| 278 | 2025-01-19 10:30:51 | workhorses | 4 | 161450 | 125 | 55.313 | 2918.8 |
| 277 | 2025-01-18 01:40:35 | workhorses | 1 | 67641 | 3 | 1.143 | 59178.5 |
| 276 | 2025-01-10 09:40:52 | workhorses | 2 | 108824 | 7 | 15.343 | 7092.7 |
| 275 | 2025-01-10 09:29:57 | workhorses | 1 | 67641 | 3 | 2.983 | 22675.5 |
| 274 | 2025-01-09 05:35:28 | workhorses | 3 | 140603 | 22 | 28.280 | 4971.8 |
| 273 | 2025-01-07 20:30:03 | workhorses | 1 | 67641 | 3 | 5.546 | 12196.4 |
| 272 | 2025-01-03 08:54:17 | workhorses | 3 | 140603 | 22 | 46.313 | 3035.9 |