History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"actuarial"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 344 | 2025-08-17 11:23:12 | actuarial | 3 | 148641 | 24 | 19.500 | 7622.6 |
| 343 | 2025-08-16 20:56:26 | actuarial | 3 | 148641 | 24 | 41.423 | 3588.4 |
| 342 | 2025-08-15 14:07:08 | actuarial | 4 | 165329 | 200 | 41.626 | 3971.8 |
| 341 | 2025-08-15 00:23:06 | actuarial | 3 | 148641 | 24 | 17.000 | 8743.6 |
| 340 | 2025-08-14 15:21:10 | actuarial | 1 | 81242 | 1 | 1.343 | 60492.9 |
| 339 | 2025-08-14 06:48:54 | actuarial | 1 | 81242 | 1 | 1.440 | 56418.1 |
| 338 | 2025-08-09 16:18:29 | actuarial | 1 | 81242 | 1 | 6.266 | 12965.5 |
| 337 | 2025-07-25 04:58:08 | actuarial | 1 | 81242 | 1 | 6.923 | 11735.1 |
| 336 | 2025-07-24 19:30:17 | actuarial | 1 | 81242 | 1 | 3.750 | 21664.5 |
| 335 | 2025-07-24 09:40:28 | actuarial | 1 | 81242 | 1 | 5.623 | 14448.2 |
| 334 | 2025-07-23 13:44:41 | actuarial | 1 | 81242 | 1 | 3.360 | 24179.2 |
| 333 | 2025-07-16 04:26:47 | actuarial | 1 | 81242 | 1 | 10.423 | 7794.5 |
| 332 | 2025-07-15 19:40:09 | actuarial | 1 | 81242 | 1 | 1.516 | 53589.7 |
| 331 | 2025-07-08 04:40:46 | actuarial | 1 | 81242 | 1 | 9.140 | 8888.6 |
| 330 | 2025-06-06 15:09:50 | actuarial | 1 | 81242 | 1 | 3.686 | 22040.7 |
| 329 | 2025-06-06 00:28:13 | actuarial | 1 | 81242 | 1 | 3.576 | 22718.7 |
| 328 | 2025-05-08 02:54:15 | actuarial | 1 | 81242 | 1 | 3.250 | 24997.5 |
| 327 | 2025-04-18 20:07:46 | actuarial | 1 | 81242 | 1 | 3.640 | 22319.2 |
| 326 | 2025-04-18 14:59:40 | actuarial | 1 | 81242 | 1 | 3.673 | 22118.7 |
| 325 | 2025-04-17 23:58:26 | actuarial | 1 | 81242 | 1 | 6.643 | 12229.7 |
| 324 | 2025-04-16 15:46:51 | actuarial | 1 | 81242 | 1 | 5.390 | 15072.7 |
| 323 | 2025-04-01 03:17:38 | actuarial | 1 | 81242 | 1 | 7.546 | 10766.2 |
| 322 | 2025-03-29 12:33:55 | actuarial | 4 | 165329 | 200 | 34.706 | 4763.7 |
| 321 | 2025-03-27 09:55:39 | actuarial | 1 | 81242 | 1 | 3.986 | 20381.8 |
| 320 | 2025-03-26 18:00:16 | actuarial | 4 | 165329 | 200 | 61.690 | 2680.0 |
| 319 | 2025-03-25 14:28:11 | actuarial | 4 | 165329 | 200 | 57.060 | 2897.5 |
| 318 | 2025-03-25 06:14:54 | actuarial | 4 | 165329 | 200 | 55.283 | 2990.6 |
| 317 | 2025-03-23 22:44:49 | actuarial | 4 | 165329 | 200 | 54.736 | 3020.5 |
| 316 | 2025-02-15 17:44:58 | actuarial | 4 | 165329 | 200 | 56.580 | 2922.0 |
| 315 | 2025-02-15 07:29:43 | actuarial | 4 | 165329 | 200 | 54.770 | 3018.6 |
| 314 | 2025-02-15 07:29:41 | actuarial | 2 | 121436 | 5 | 16.860 | 7202.6 |
| 313 | 2025-02-15 07:29:14 | actuarial | 1 | 81242 | 1 | 3.093 | 26266.4 |
| 312 | 2025-02-15 01:37:44 | actuarial | 1 | 81242 | 1 | 7.080 | 11474.9 |
| 311 | 2025-02-15 00:22:15 | actuarial | 3 | 148641 | 24 | 27.566 | 5392.2 |
| 310 | 2025-02-15 00:21:28 | actuarial | 1 | 81242 | 1 | 3.393 | 23944.0 |
| 309 | 2025-02-08 17:49:20 | actuarial | 2 | 121436 | 5 | 22.706 | 5348.2 |
| 308 | 2025-01-30 04:25:59 | actuarial | 3 | 148641 | 24 | 32.830 | 4527.6 |
| 307 | 2025-01-29 23:08:49 | actuarial | 3 | 148641 | 24 | 41.423 | 3588.4 |
| 306 | 2025-01-29 16:45:37 | actuarial | 3 | 148641 | 24 | 36.563 | 4065.3 |
| 305 | 2025-01-25 05:45:03 | actuarial | 3 | 148641 | 24 | 50.116 | 2965.9 |
| 304 | 2025-01-25 05:44:51 | actuarial | 3 | 148641 | 24 | 55.400 | 2683.1 |
| 303 | 2025-01-25 05:44:54 | actuarial | 2 | 121436 | 5 | 8.826 | 13758.9 |
| 302 | 2025-01-25 03:00:08 | actuarial | 1 | 81242 | 1 | 1.423 | 57092.1 |
| 301 | 2025-01-15 10:09:58 | actuarial | 1 | 81242 | 1 | 3.986 | 20381.8 |
| 300 | 2025-01-07 21:09:21 | actuarial | 1 | 81242 | 1 | 6.376 | 12741.8 |
| 299 | 2024-12-13 23:30:58 | actuarial | 1 | 81242 | 1 | 10.360 | 7841.9 |
| 298 | 2024-12-06 02:02:13 | actuarial | 1 | 81242 | 1 | 1.250 | 64993.6 |
| 297 | 2024-11-29 05:01:33 | actuarial | 1 | 81242 | 1 | 6.280 | 12936.6 |
| 296 | 2024-10-31 16:23:47 | actuarial | 1 | 81242 | 1 | 8.050 | 10092.2 |
| 295 | 2024-10-30 17:34:16 | actuarial | 1 | 81242 | 1 | 6.643 | 12229.7 |
| 294 | 2024-10-27 10:55:52 | actuarial | 1 | 81242 | 1 | 3.093 | 26266.4 |
| 293 | 2024-09-12 17:17:23 | actuarial | 1 | 81242 | 1 | 9.283 | 8751.7 |
| 292 | 2024-08-21 00:11:14 | actuarial | 1 | 81242 | 1 | 8.280 | 9811.8 |
| 291 | 2024-07-19 04:21:47 | actuarial | 3 | 148641 | 24 | 33.720 | 4408.1 |
| 290 | 2024-07-19 04:21:41 | actuarial | 3 | 148641 | 24 | 30.596 | 4858.2 |
| 289 | 2024-07-19 04:21:48 | actuarial | 2 | 121436 | 5 | 16.530 | 7346.4 |
| 288 | 2024-07-19 04:19:31 | actuarial | 1 | 81242 | 1 | 5.233 | 15524.9 |
| 287 | 2024-07-16 10:42:43 | actuarial | 1 | 81242 | 1 | 4.203 | 19329.5 |
| 286 | 2024-07-16 10:39:24 | actuarial | 1 | 81242 | 1 | 3.846 | 21123.8 |
| 285 | 2024-07-12 17:06:53 | actuarial | 1 | 81242 | 1 | 6.643 | 12229.7 |
| 284 | 2024-07-07 04:32:47 | actuarial | 1 | 81242 | 1 | 5.640 | 14404.6 |
| 283 | 2024-06-25 10:58:57 | actuarial | 3 | 148641 | 24 | 35.126 | 4231.7 |
| 282 | 2024-06-23 00:58:27 | actuarial | 3 | 148641 | 24 | 40.533 | 3667.2 |
| 281 | 2024-06-23 00:58:33 | actuarial | 2 | 121436 | 5 | 23.190 | 5236.6 |
| 280 | 2024-06-23 00:56:14 | actuarial | 1 | 81242 | 1 | 4.250 | 19115.8 |
| 279 | 2024-06-19 21:35:57 | actuarial | 2 | 121436 | 5 | 12.436 | 9764.9 |
| 278 | 2024-06-11 16:58:59 | actuarial | 3 | 148641 | 24 | 22.940 | 6479.6 |
| 277 | 2024-06-11 16:59:00 | actuarial | 2 | 121436 | 5 | 13.860 | 8761.6 |
| 276 | 2024-06-11 16:46:30 | actuarial | 1 | 81242 | 1 | 3.936 | 20640.8 |
| 275 | 2024-06-07 09:16:06 | actuarial | 3 | 148641 | 24 | 24.610 | 6039.9 |
| 274 | 2024-06-03 17:17:03 | actuarial | 1 | 81242 | 1 | 8.470 | 9591.7 |
| 273 | 2024-05-31 07:18:46 | actuarial | 3 | 148641 | 24 | 36.986 | 4018.8 |
| 272 | 2024-05-31 07:18:50 | actuarial | 2 | 121436 | 5 | 13.406 | 9058.3 |
| 271 | 2024-05-30 11:41:47 | actuarial | 4 | 165329 | 200 | 67.066 | 2465.2 |
| 270 | 2024-05-30 04:52:10 | actuarial | 4 | 165329 | 200 | 74.330 | 2224.3 |
| 269 | 2024-05-29 17:58:39 | actuarial | 4 | 165329 | 200 | 33.000 | 5010.0 |
| 268 | 2024-05-29 17:58:52 | actuarial | 2 | 121436 | 5 | 19.566 | 6206.5 |
| 267 | 2024-05-29 17:58:44 | actuarial | 3 | 148641 | 24 | 16.266 | 9138.1 |
| 266 | 2024-05-29 17:58:18 | actuarial | 1 | 81242 | 1 | 2.640 | 30773.5 |
| 265 | 2024-05-16 10:00:51 | actuarial | 1 | 81242 | 1 | 1.486 | 54671.6 |
| 264 | 2024-05-12 19:01:00 | actuarial | 1 | 81242 | 1 | 3.343 | 24302.1 |
| 263 | 2024-05-09 22:51:21 | actuarial | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 262 | 2024-05-06 09:23:20 | actuarial | 2 | 121436 | 5 | 4.983 | 24370.1 |
| 261 | 2024-05-06 09:23:16 | actuarial | 3 | 148641 | 24 | 8.486 | 17516.0 |
| 260 | 2024-05-06 09:20:33 | actuarial | 4 | 165329 | 200 | 14.263 | 11591.5 |
| 259 | 2024-05-06 09:12:55 | actuarial | 3 | 148641 | 24 | 11.736 | 12665.4 |
| 258 | 2024-05-06 09:12:51 | actuarial | 2 | 121436 | 5 | 3.843 | 31599.3 |
| 257 | 2024-05-06 08:55:28 | actuarial | 1 | 81242 | 1 | 1.516 | 53589.7 |
| 256 | 2024-05-06 08:55:03 | actuarial | 1 | 81242 | 1 | 3.126 | 25989.1 |
| 255 | 2024-05-03 12:47:00 | actuarial | 1 | 81242 | 1 | 1.420 | 57212.7 |
| 254 | 2024-05-01 14:18:30 | actuarial | 1 | 81242 | 1 | 1.500 | 54161.3 |
| 253 | 2024-04-30 16:42:08 | actuarial | 3 | 148641 | 24 | 14.253 | 10428.8 |
| 252 | 2024-04-30 16:42:03 | actuarial | 2 | 121436 | 5 | 3.546 | 34245.9 |
| 251 | 2024-04-30 16:41:55 | actuarial | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 250 | 2024-04-17 07:45:26 | actuarial | 4 | 165329 | 200 | 12.420 | 13311.5 |
| 249 | 2024-04-13 17:05:25 | actuarial | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 248 | 2024-04-10 12:20:29 | actuarial | 4 | 165329 | 200 | 37.580 | 4399.4 |
| 247 | 2024-04-10 06:50:34 | actuarial | 1 | 81242 | 1 | 1.686 | 48186.2 |
| 246 | 2024-04-05 07:01:51 | actuarial | 4 | 165329 | 200 | 32.923 | 5021.7 |
| 245 | 2024-04-05 07:01:52 | actuarial | 3 | 148641 | 24 | 13.123 | 11326.8 |