History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"mortality"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 327 | 2025-05-28 21:46:36 | mortality | 2 | 121436 | 14 | 18.203 | 6671.2 |
| 326 | 2025-05-26 17:00:49 | mortality | 2 | 121436 | 14 | 26.640 | 4558.4 |
| 325 | 2025-05-26 08:27:30 | mortality | 3 | 148641 | 69 | 31.753 | 4681.2 |
| 324 | 2025-05-21 20:04:53 | mortality | 1 | 81242 | 2 | 5.233 | 15524.9 |
| 323 | 2025-05-20 23:14:58 | mortality | 2 | 121436 | 14 | 3.923 | 30954.9 |
| 322 | 2025-05-19 19:40:41 | mortality | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 321 | 2025-05-18 09:44:19 | mortality | 3 | 148641 | 69 | 49.503 | 3002.7 |
| 320 | 2025-05-18 02:31:15 | mortality | 2 | 121436 | 14 | 12.580 | 9653.1 |
| 319 | 2025-05-17 05:22:45 | mortality | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 318 | 2025-05-10 02:55:05 | mortality | 1 | 81242 | 2 | 3.376 | 24064.6 |
| 317 | 2025-04-21 02:53:49 | mortality | 1 | 81242 | 2 | 9.923 | 8187.2 |
| 316 | 2025-04-13 17:50:11 | mortality | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 315 | 2025-04-06 02:23:26 | mortality | 1 | 81242 | 2 | 3.656 | 22221.6 |
| 314 | 2025-04-05 20:05:01 | mortality | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 313 | 2025-04-03 19:42:42 | mortality | 1 | 81242 | 2 | 9.920 | 8189.7 |
| 312 | 2025-04-02 04:24:51 | mortality | 1 | 81242 | 2 | 7.126 | 11400.8 |
| 311 | 2025-03-21 03:51:57 | mortality | 1 | 81242 | 2 | 7.000 | 11606.0 |
| 310 | 2025-03-20 05:29:45 | mortality | 1 | 81242 | 2 | 7.203 | 11278.9 |
| 309 | 2025-03-18 11:17:55 | mortality | 3 | 148641 | 69 | 34.126 | 4355.7 |
| 308 | 2025-03-10 01:28:40 | mortality | 3 | 148641 | 69 | 48.286 | 3078.3 |
| 307 | 2025-03-10 01:28:34 | mortality | 3 | 148641 | 69 | 42.546 | 3493.7 |
| 306 | 2025-03-10 01:28:32 | mortality | 2 | 121436 | 14 | 18.343 | 6620.3 |
| 305 | 2025-03-05 05:24:18 | mortality | 1 | 81242 | 2 | 6.860 | 11842.9 |
| 304 | 2025-03-03 22:21:21 | mortality | 3 | 148641 | 69 | 36.330 | 4091.4 |
| 303 | 2025-03-01 09:18:05 | mortality | 3 | 148641 | 69 | 31.610 | 4702.3 |
| 302 | 2025-03-01 08:21:11 | mortality | 3 | 148641 | 69 | 38.143 | 3896.9 |
| 301 | 2025-02-28 03:51:57 | mortality | 3 | 148641 | 69 | 41.486 | 3582.9 |
| 300 | 2025-02-26 03:31:20 | mortality | 3 | 148641 | 69 | 40.003 | 3715.7 |
| 299 | 2025-02-24 16:10:25 | mortality | 1 | 81242 | 2 | 8.393 | 9679.7 |
| 298 | 2025-02-22 23:59:40 | mortality | 1 | 81242 | 2 | 6.546 | 12410.9 |
| 297 | 2025-02-01 10:42:36 | mortality | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 296 | 2025-01-27 05:17:48 | mortality | 2 | 121436 | 14 | 27.613 | 4397.8 |
| 295 | 2025-01-27 02:35:19 | mortality | 1 | 81242 | 2 | 1.346 | 60358.1 |
| 294 | 2025-01-22 23:09:41 | mortality | 3 | 148641 | 69 | 46.800 | 3176.1 |
| 293 | 2025-01-19 18:04:56 | mortality | 4 | 165329 | 336 | 71.680 | 2306.5 |
| 292 | 2025-01-19 18:05:15 | mortality | 3 | 148641 | 69 | 41.690 | 3565.4 |
| 291 | 2025-01-19 07:54:38 | mortality | 2 | 121436 | 14 | 9.440 | 12864.0 |
| 290 | 2025-01-19 01:22:59 | mortality | 3 | 148641 | 69 | 21.596 | 6882.8 |
| 289 | 2025-01-18 11:42:06 | mortality | 1 | 81242 | 2 | 10.283 | 7900.6 |
| 288 | 2025-01-18 10:42:52 | mortality | 3 | 148641 | 69 | 37.580 | 3955.3 |
| 287 | 2025-01-18 09:38:00 | mortality | 3 | 148641 | 69 | 37.470 | 3966.9 |
| 286 | 2025-01-18 05:29:19 | mortality | 4 | 165329 | 336 | 78.580 | 2104.0 |
| 285 | 2025-01-18 05:29:14 | mortality | 3 | 148641 | 69 | 70.580 | 2106.0 |
| 284 | 2025-01-18 05:29:16 | mortality | 2 | 121436 | 14 | 20.640 | 5883.5 |
| 283 | 2024-12-29 20:00:51 | mortality | 1 | 81242 | 2 | 6.860 | 11842.9 |
| 282 | 2024-12-15 16:34:18 | mortality | 4 | 165329 | 336 | 67.736 | 2440.8 |
| 281 | 2024-12-15 16:34:28 | mortality | 2 | 121436 | 14 | 18.766 | 6471.1 |
| 280 | 2024-12-15 16:33:58 | mortality | 1 | 81242 | 2 | 3.390 | 23965.2 |
| 279 | 2024-12-13 14:48:44 | mortality | 3 | 148641 | 69 | 19.470 | 7634.4 |
| 278 | 2024-12-13 14:48:46 | mortality | 2 | 121436 | 14 | 15.296 | 7939.1 |
| 277 | 2024-12-13 14:45:22 | mortality | 1 | 81242 | 2 | 3.283 | 24746.3 |
| 276 | 2024-12-10 11:17:18 | mortality | 3 | 148641 | 69 | 41.733 | 3561.7 |
| 275 | 2024-12-03 03:49:42 | mortality | 1 | 81242 | 2 | 6.953 | 11684.5 |
| 274 | 2024-11-26 02:47:38 | mortality | 1 | 81242 | 2 | 3.343 | 24302.1 |
| 273 | 2024-11-25 16:07:45 | mortality | 3 | 148641 | 69 | 36.623 | 4058.7 |
| 272 | 2024-11-23 08:26:02 | mortality | 3 | 148641 | 69 | 20.406 | 7284.2 |
| 271 | 2024-11-12 10:23:45 | mortality | 1 | 81242 | 2 | 3.796 | 21402.0 |
| 270 | 2024-11-11 19:40:05 | mortality | 1 | 81242 | 2 | 3.236 | 25105.7 |
| 269 | 2024-10-25 23:38:38 | mortality | 3 | 148641 | 69 | 37.813 | 3930.9 |
| 268 | 2024-10-25 23:38:35 | mortality | 2 | 121436 | 14 | 13.876 | 8751.5 |
| 267 | 2024-10-25 21:12:14 | mortality | 3 | 148641 | 69 | 39.220 | 3789.9 |
| 266 | 2024-10-25 13:35:58 | mortality | 1 | 81242 | 2 | 9.626 | 8439.9 |
| 265 | 2024-10-25 09:51:54 | mortality | 3 | 148641 | 69 | 38.096 | 3901.7 |
| 264 | 2024-10-24 16:11:26 | mortality | 3 | 148641 | 69 | 18.330 | 8109.2 |
| 263 | 2024-10-24 07:27:05 | mortality | 3 | 148641 | 69 | 37.906 | 3921.3 |
| 262 | 2024-10-23 21:40:42 | mortality | 3 | 148641 | 69 | 39.720 | 3742.2 |
| 261 | 2024-10-22 18:03:41 | mortality | 1 | 81242 | 2 | 3.280 | 24768.9 |
| 260 | 2024-10-11 17:24:11 | mortality | 1 | 81242 | 2 | 3.436 | 23644.4 |
| 259 | 2024-09-17 22:45:11 | mortality | 1 | 81242 | 2 | 4.236 | 19178.9 |
| 258 | 2024-09-10 22:01:18 | mortality | 3 | 148641 | 69 | 50.610 | 2937.0 |
| 257 | 2024-09-09 11:03:27 | mortality | 3 | 148641 | 69 | 31.533 | 4713.8 |
| 256 | 2024-09-08 02:38:28 | mortality | 3 | 148641 | 69 | 90.753 | 1637.9 |
| 255 | 2024-09-08 02:33:25 | mortality | 3 | 148641 | 69 | 50.270 | 2956.9 |
| 254 | 2024-09-07 15:12:32 | mortality | 3 | 148641 | 69 | 34.126 | 4355.7 |
| 253 | 2024-09-06 13:54:46 | mortality | 3 | 148641 | 69 | 38.300 | 3881.0 |
| 252 | 2024-09-06 10:30:29 | mortality | 3 | 148641 | 69 | 52.990 | 2805.1 |
| 251 | 2024-09-05 03:40:03 | mortality | 4 | 165329 | 336 | 102.270 | 1616.6 |
| 250 | 2024-09-05 03:40:03 | mortality | 3 | 148641 | 69 | 76.363 | 1946.5 |
| 249 | 2024-09-05 03:40:03 | mortality | 2 | 121436 | 14 | 24.753 | 4905.9 |
| 248 | 2024-09-04 23:44:19 | mortality | 1 | 81242 | 2 | 1.376 | 59042.2 |
| 247 | 2024-08-31 05:13:34 | mortality | 1 | 81242 | 2 | 9.970 | 8148.6 |
| 246 | 2024-08-13 21:04:33 | mortality | 1 | 81242 | 2 | 9.550 | 8507.0 |
| 245 | 2024-08-01 23:36:15 | mortality | 1 | 81242 | 2 | 4.686 | 17337.2 |
| 244 | 2024-07-19 15:23:06 | mortality | 2 | 121436 | 14 | 13.173 | 9218.6 |
| 243 | 2024-07-19 15:19:39 | mortality | 1 | 81242 | 2 | 2.173 | 37387.0 |
| 242 | 2024-07-18 17:48:16 | mortality | 3 | 148641 | 69 | 27.316 | 5441.5 |
| 241 | 2024-07-18 17:06:01 | mortality | 3 | 148641 | 69 | 18.156 | 8186.9 |
| 240 | 2024-07-18 17:06:04 | mortality | 2 | 121436 | 14 | 13.986 | 8682.7 |
| 239 | 2024-07-18 17:03:19 | mortality | 1 | 81242 | 2 | 2.593 | 31331.3 |
| 238 | 2024-07-18 14:31:00 | mortality | 3 | 148641 | 69 | 29.530 | 5033.6 |
| 237 | 2024-07-16 08:28:38 | mortality | 4 | 165329 | 336 | 52.766 | 3133.2 |
| 236 | 2024-07-15 22:51:25 | mortality | 4 | 165329 | 336 | 69.440 | 2380.9 |
| 235 | 2024-07-15 20:17:00 | mortality | 4 | 165329 | 336 | 67.126 | 2463.0 |
| 234 | 2024-07-14 18:13:50 | mortality | 3 | 148641 | 69 | 27.393 | 5426.2 |
| 233 | 2024-07-14 13:55:59 | mortality | 4 | 165329 | 336 | 57.066 | 2897.2 |
| 232 | 2024-07-14 13:56:00 | mortality | 3 | 148641 | 69 | 29.986 | 4957.0 |
| 231 | 2024-07-14 13:56:04 | mortality | 2 | 121436 | 14 | 20.406 | 5951.0 |
| 230 | 2024-07-14 13:50:23 | mortality | 1 | 81242 | 2 | 2.343 | 34674.3 |
| 229 | 2024-07-11 00:36:17 | mortality | 1 | 81242 | 2 | 3.406 | 23852.6 |
| 228 | 2024-06-19 05:33:11 | mortality | 1 | 81242 | 2 | 6.173 | 13160.9 |