History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"dexterity"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 309 | 2025-10-26 14:02:23 | dexterity | 4 | 165329 | 221 | 15.050 | 10985.3 |
| 308 | 2025-10-25 00:32:29 | dexterity | 4 | 165329 | 221 | 12.423 | 13308.3 |
| 307 | 2025-10-24 07:59:35 | dexterity | 1 | 81242 | 1 | 1.326 | 61268.5 |
| 306 | 2025-10-20 01:38:08 | dexterity | 4 | 165329 | 221 | 63.346 | 2609.9 |
| 305 | 2025-10-20 01:37:39 | dexterity | 4 | 165329 | 221 | 68.486 | 2414.1 |
| 304 | 2025-10-20 01:37:40 | dexterity | 4 | 165329 | 221 | 62.236 | 2656.5 |
| 303 | 2025-10-20 01:37:32 | dexterity | 4 | 165329 | 221 | 68.050 | 2429.5 |
| 302 | 2025-10-18 23:34:22 | dexterity | 4 | 165329 | 221 | 16.003 | 10331.1 |
| 301 | 2025-10-06 03:04:00 | dexterity | 3 | 148641 | 27 | 7.436 | 19989.4 |
| 300 | 2025-10-03 16:46:02 | dexterity | 4 | 165329 | 221 | 11.346 | 14571.6 |
| 299 | 2025-09-14 12:41:31 | dexterity | 3 | 148641 | 27 | 7.266 | 20457.1 |
| 298 | 2025-09-12 00:06:57 | dexterity | 3 | 148641 | 27 | 7.686 | 19339.2 |
| 297 | 2025-09-04 19:25:46 | dexterity | 1 | 81242 | 1 | 1.263 | 64324.6 |
| 296 | 2025-08-09 05:26:21 | dexterity | 1 | 81242 | 1 | 3.156 | 25742.1 |
| 295 | 2025-08-06 00:05:35 | dexterity | 3 | 148641 | 27 | 15.813 | 9399.9 |
| 294 | 2025-08-06 00:05:25 | dexterity | 2 | 121436 | 1 | 9.813 | 12375.0 |
| 293 | 2025-08-04 08:28:50 | dexterity | 1 | 81242 | 1 | 5.263 | 15436.4 |
| 292 | 2025-08-01 16:59:46 | dexterity | 1 | 81242 | 1 | 7.516 | 10809.2 |
| 291 | 2025-07-25 11:55:01 | dexterity | 1 | 81242 | 1 | 2.923 | 27794.0 |
| 290 | 2025-07-24 00:24:22 | dexterity | 1 | 81242 | 1 | 5.920 | 13723.3 |
| 289 | 2025-07-07 23:59:32 | dexterity | 1 | 81242 | 1 | 3.203 | 25364.3 |
| 288 | 2025-06-29 13:44:52 | dexterity | 2 | 121436 | 1 | 3.076 | 39478.5 |
| 287 | 2025-06-29 10:54:31 | dexterity | 3 | 148641 | 27 | 15.453 | 9618.9 |
| 286 | 2025-06-28 23:28:08 | dexterity | 3 | 148641 | 27 | 30.123 | 4934.5 |
| 285 | 2025-06-28 07:29:55 | dexterity | 1 | 81242 | 1 | 7.030 | 11556.5 |
| 284 | 2025-06-18 12:09:30 | dexterity | 1 | 81242 | 1 | 3.420 | 23755.0 |
| 283 | 2025-06-16 20:38:35 | dexterity | 1 | 81242 | 1 | 3.580 | 22693.3 |
| 282 | 2025-05-14 16:29:02 | dexterity | 1 | 81242 | 1 | 7.173 | 11326.1 |
| 281 | 2025-04-30 02:59:08 | dexterity | 1 | 81242 | 1 | 4.000 | 20310.5 |
| 280 | 2025-04-20 11:27:23 | dexterity | 1 | 81242 | 1 | 1.500 | 54161.3 |
| 279 | 2025-04-19 23:06:09 | dexterity | 1 | 81242 | 1 | 9.796 | 8293.4 |
| 278 | 2025-04-18 06:14:37 | dexterity | 1 | 81242 | 1 | 5.516 | 14728.4 |
| 277 | 2025-04-14 07:36:19 | dexterity | 1 | 81242 | 1 | 6.953 | 11684.5 |
| 276 | 2025-03-15 08:02:25 | dexterity | 1 | 81242 | 1 | 3.170 | 25628.4 |
| 275 | 2025-02-12 20:40:47 | dexterity | 1 | 81242 | 1 | 5.843 | 13904.2 |
| 274 | 2025-02-09 10:01:17 | dexterity | 1 | 81242 | 1 | 5.466 | 14863.2 |
| 273 | 2025-01-27 22:31:47 | dexterity | 1 | 81242 | 1 | 3.156 | 25742.1 |
| 272 | 2025-01-11 02:08:17 | dexterity | 1 | 81242 | 1 | 9.250 | 8782.9 |
| 271 | 2024-12-27 17:57:24 | dexterity | 1 | 81242 | 1 | 6.830 | 11894.9 |
| 270 | 2024-12-09 13:54:33 | dexterity | 1 | 81242 | 1 | 3.893 | 20868.7 |
| 269 | 2024-12-01 09:22:21 | dexterity | 1 | 81242 | 1 | 6.750 | 12035.9 |
| 268 | 2024-11-24 12:23:17 | dexterity | 2 | 121436 | 1 | 18.066 | 6721.8 |
| 267 | 2024-11-24 12:20:24 | dexterity | 1 | 81242 | 1 | 6.423 | 12648.6 |
| 266 | 2024-11-22 19:41:57 | dexterity | 2 | 121436 | 1 | 16.406 | 7401.9 |
| 265 | 2024-11-22 19:40:56 | dexterity | 1 | 81242 | 1 | 5.343 | 15205.3 |
| 264 | 2024-11-05 16:49:01 | dexterity | 3 | 148641 | 27 | 43.203 | 3440.5 |
| 263 | 2024-10-30 17:10:31 | dexterity | 3 | 148641 | 27 | 34.516 | 4306.4 |
| 262 | 2024-10-30 03:09:14 | dexterity | 3 | 148641 | 27 | 33.343 | 4457.9 |
| 261 | 2024-10-29 17:58:34 | dexterity | 3 | 148641 | 27 | 42.203 | 3522.0 |
| 260 | 2024-10-29 17:58:30 | dexterity | 3 | 148641 | 27 | 39.863 | 3728.8 |
| 259 | 2024-10-29 17:58:32 | dexterity | 2 | 121436 | 1 | 15.876 | 7649.0 |
| 258 | 2024-10-22 12:27:08 | dexterity | 1 | 81242 | 1 | 3.593 | 22611.2 |
| 257 | 2024-10-22 03:30:39 | dexterity | 1 | 81242 | 1 | 6.720 | 12089.6 |
| 256 | 2024-10-21 10:17:36 | dexterity | 1 | 81242 | 1 | 3.220 | 25230.4 |
| 255 | 2024-09-12 00:50:11 | dexterity | 3 | 148641 | 27 | 49.063 | 3029.6 |
| 254 | 2024-09-09 20:42:18 | dexterity | 3 | 148641 | 27 | 64.033 | 2321.3 |
| 253 | 2024-09-07 09:47:27 | dexterity | 1 | 81242 | 1 | 17.703 | 4589.2 |
| 252 | 2024-08-29 13:46:10 | dexterity | 3 | 148641 | 27 | 51.596 | 2880.9 |
| 251 | 2024-08-29 03:35:29 | dexterity | 3 | 148641 | 27 | 55.406 | 2682.8 |
| 250 | 2024-08-29 03:35:47 | dexterity | 2 | 121436 | 1 | 24.296 | 4998.2 |
| 249 | 2024-08-29 02:14:17 | dexterity | 1 | 81242 | 1 | 4.673 | 17385.4 |
| 248 | 2024-08-12 23:46:33 | dexterity | 3 | 148641 | 27 | 40.890 | 3635.1 |
| 247 | 2024-08-09 14:41:18 | dexterity | 3 | 148641 | 27 | 25.330 | 5868.2 |
| 246 | 2024-08-08 22:42:09 | dexterity | 3 | 148641 | 27 | 29.720 | 5001.4 |
| 245 | 2024-08-08 03:42:44 | dexterity | 3 | 148641 | 27 | 19.986 | 7437.3 |
| 244 | 2024-07-28 04:23:17 | dexterity | 3 | 148641 | 27 | 21.826 | 6810.3 |
| 243 | 2024-07-27 05:26:10 | dexterity | 3 | 148641 | 27 | 34.673 | 4286.9 |
| 242 | 2024-07-27 05:26:13 | dexterity | 2 | 121436 | 1 | 19.923 | 6095.3 |
| 241 | 2024-07-27 05:24:44 | dexterity | 1 | 81242 | 1 | 4.766 | 17046.2 |
| 240 | 2024-07-26 00:20:16 | dexterity | 4 | 165329 | 221 | 58.706 | 2816.2 |
| 239 | 2024-07-25 23:42:29 | dexterity | 4 | 165329 | 221 | 24.156 | 6844.2 |
| 238 | 2024-07-25 13:24:04 | dexterity | 4 | 165329 | 221 | 48.796 | 3388.2 |
| 237 | 2024-07-25 09:15:17 | dexterity | 4 | 165329 | 221 | 44.330 | 3729.5 |
| 236 | 2024-07-25 09:15:22 | dexterity | 2 | 121436 | 1 | 17.250 | 7039.8 |
| 235 | 2024-07-25 09:15:22 | dexterity | 3 | 148641 | 27 | 15.250 | 9747.0 |
| 234 | 2024-07-25 09:12:00 | dexterity | 1 | 81242 | 1 | 1.470 | 55266.7 |
| 233 | 2024-07-22 21:41:39 | dexterity | 1 | 81242 | 1 | 7.630 | 10647.7 |
| 232 | 2024-06-05 15:00:58 | dexterity | 1 | 81242 | 1 | 1.406 | 57782.4 |
| 231 | 2024-06-03 10:05:56 | dexterity | 1 | 81242 | 1 | 1.500 | 54161.3 |
| 230 | 2024-05-23 00:46:03 | dexterity | 1 | 81242 | 1 | 3.310 | 24544.4 |
| 229 | 2024-05-17 12:09:50 | dexterity | 3 | 148641 | 27 | 20.173 | 7368.3 |
| 228 | 2024-05-15 06:39:38 | dexterity | 3 | 148641 | 27 | 8.876 | 16746.4 |
| 227 | 2024-05-15 02:31:45 | dexterity | 4 | 165329 | 221 | 25.363 | 6518.5 |
| 226 | 2024-05-15 02:03:37 | dexterity | 4 | 165329 | 221 | 36.393 | 4542.9 |
| 225 | 2024-05-14 16:50:31 | dexterity | 4 | 165329 | 221 | 31.893 | 5183.9 |
| 224 | 2024-05-14 16:50:33 | dexterity | 3 | 148641 | 27 | 18.970 | 7835.6 |
| 223 | 2024-05-14 16:50:34 | dexterity | 2 | 121436 | 1 | 8.580 | 14153.4 |
| 222 | 2024-05-14 16:23:39 | dexterity | 1 | 81242 | 1 | 3.186 | 25499.7 |
| 221 | 2024-05-08 19:46:06 | dexterity | 1 | 81242 | 1 | 3.153 | 25766.6 |
| 220 | 2024-05-04 01:46:24 | dexterity | 1 | 81242 | 1 | 1.563 | 51978.2 |
| 219 | 2024-04-27 00:48:04 | dexterity | 3 | 148641 | 27 | 16.156 | 9200.4 |
| 218 | 2024-04-27 00:48:00 | dexterity | 2 | 121436 | 1 | 11.343 | 10705.8 |
| 217 | 2024-04-26 23:59:56 | dexterity | 1 | 81242 | 1 | 1.483 | 54782.2 |
| 216 | 2024-04-22 20:06:26 | dexterity | 1 | 81242 | 1 | 1.266 | 64172.2 |
| 215 | 2024-04-19 14:24:04 | dexterity | 1 | 81242 | 1 | 1.766 | 46003.4 |
| 214 | 2024-04-06 11:03:08 | dexterity | 3 | 148641 | 27 | 14.440 | 10293.7 |
| 213 | 2024-04-06 11:03:09 | dexterity | 2 | 121436 | 1 | 12.186 | 9965.2 |
| 212 | 2024-04-06 11:02:59 | dexterity | 1 | 81242 | 1 | 4.186 | 19408.0 |
| 211 | 2024-04-03 21:49:23 | dexterity | 4 | 165329 | 221 | 35.533 | 4652.8 |
| 210 | 2024-04-03 04:05:35 | dexterity | 4 | 165329 | 221 | 36.503 | 4529.2 |